diff --git a/_config.yml b/_config.yml index 38337ea..a3f1018 100644 --- a/_config.yml +++ b/_config.yml @@ -1,19 +1,17 @@ # Site settings -title: Translational lymphoma research in the Morin laboratory at Simon Fraser University -lab_name: Morin Laboratory +title: Systems immunology lab at the University of Pittsburgh +lab_name: Jishnu Lab author: > - Bruno Grande, Ryan Morin and the Morin laboratory -institution: SFU -email: rdmorin@sfu.ca -description: > - The Morin Laboratory performs cutting-edge lymphoma research using - a combination of dry lab and wet lab experiments. + Simar, Swapnil and the Jishnu laboratory +institution: UPitt +email: yadavsi@pitt.edu +description: "Machine Learning, Networks, Immunology, Coffee and Music" baseurl: "" -url: "https://morinlab.github.io" -twitter_username: morinryan -github_username: morinlab +url: "https://simaryadav.github.io" +twitter_username: simaryadav +github_username: simaryadav images_dir: "/images/" - +theme: jekyll-theme-merlot # Build settings markdown: kramdown include: ["_pages"] diff --git a/_data/projects.yml b/_data/projects.yml index 911bf63..b5cccdd 100644 --- a/_data/projects.yml +++ b/_data/projects.yml @@ -1,161 +1,173 @@ -- name: Genetic and molecular mechanisms of treatment resistance in DLBCL - description: > - Non-Hodgkin lymphomas (NHL) represent the sixth most commonly diagnosed - type of cancer in Canada with diffuse large B-cell lymphoma (DLBCL) being the most prevalent. - DLBCL patients exhibit variable responses to available therapies such - as R-CHOP. Some biomarkers beginning to enter clinical trials rely on - gene expression signatures to identify high-risk cases. - For example, DLBCL comprises two cell-of-origin (COO) subgroups with - activated B-cell (ABC) cases typically having worse prognosis than - germinal centre B-cell (GCB) cases. - Therapeutics that exploit molecular features unique to each subgroup - are being actively pursued but up-front identification of patients - unlikely to achieve a durable response remains a challenge. - Although existing methods can identify specific prognostic gene - expression features, these capture only some of the clinical - heterogeneity and require tumour RNA, which is not always available. - Using comprehensive genomic analyses and by integrating mutation and - expression data from over 2000 DLBCL tumours, we seek novel molecular - features that are associated with treatment resistance in DLBCL. - The ultimate goal of this work is to develop new predictive and - prognostic biomarkers and identify new therapeutic targets for - treatment-resistant DLBCLs. - funding: Terry Fox Research Institute - collaborators: Christian Steidl, David Scott, Nathalie Johnson - assignees: Chris Rushton, Laura Hilton, Jeffrey Tang, Miguel Alcaide, Aixiang Jiang - photo: projects/dhitsig.png - -- name: The role of the Fc Gamma receptor locus in resistance to R-CHOP - description: > - Through genomic characterization of DLBCL we identified somatic amplification - of the Fc gamma receptor 2B gene (FCGR2B) as a feature in ~5% of cases. We also - found the expression of FCGR2B (by RNA-seq) was prognostic in multiple DLBCL cohorts. - FCGR2B contributes to treatment resistance by promoting the internalization of the - rituximab antibody by malignant cells, allowing them to evade immune detection. - It may therefore serve as an important biomarker to identify high-risk patients and - stratify them to recieve newer immunotherapies that can mitigate the effects of high - FCGR2B expression. Understanding the genetic mechanisms that drive FCGR2B amplification - and overexpression has been complicated by the segmental duplication that affects - the FCGR locus, which makes it difficult to accurately align short reads to FCGR2B - or its closely-related paralog FCGR2C. We have been employing long-read Oxford - Nanopore sequencing and Bionano optical mapping to accurately characterize the - structural and single nucleotide variation within the locus. - funding: ASH Foundation - collaborators: David Scott - assignees: Laura Hilton, Miguel Alcaide, Jack Hillman - photo: projects/FCGR2B_cropped.png - -- name: Resolving clonal structure and evolution patterns in DLBCL - description: > - Diffuse Large B-Cell Lymphoma is a genetically heterogeneous form of cancer, - with different cells in the tumour acquiring different mutations. This - intra-tumour heterogeneity can have profound effects on treatment; if a clonal - subpopulations is resistant to treatment, it will reform the tumour following - treatment, causing the patient to relapse. We are recieving samples from several - clinical trials exploring different salvage therapies for patients with relapsed - DLBCL. Tumour biopsies and liquid biopsies are being collected from patients - both before and after they are treated. Using these temporal sources of tumour DNA, - we can identify clonal subpopulations in the tumour, - and further explore how the tumour evolves and adapts in the face of a strong - selective pressure such as treatment. The mutations unique to these resistant - clonal subpopulations can be explored to determine which mutation(s) result - in treatment resistance. We can further determine if these mutations are - detectable prior to treatment, which may allow patient to be screened for resistance - mutations before they are treated. - funding: Terry Fox Research Institute - collaborators: Christian Steidl, David Scott, Nathalie Johnson - assignees: Chris Rushton, Miguel Alcaide, Sarah Arthur - photo: projects/DLBCL_Evolution.png - -- name: Circulating Tumour DNA as a biomarker in non-Hodgkin lymphoma - description: > - This project aims to develop a novel way of monitoring patients with lymphoma and find a new immunotherapy regimen - that would be effective in patients that are not cured with conventional chemotherapy. They will first genetically - profile the tumours to determine at which time point they become resistant. They will then determine how these - lymphomas evade immune detection and test if targeting these evasion strategies, i.e. "harnessing the immune response" - is successful at eradicating chemo-resistant lymphoma. - funding: CIHR - collaborators: Christian Steidl, Nathalie Johnson - assignees: Miguel Alcaide, Stephen Yu, Chris Rushton - photo: projects/Figure_1_amplicon.png +- name: SLIDE- Significant Latent factor Interaction Discovery and Exploration across biological domains + collaborators: Javad Rahimikollu, Hanxi Xiao, AnnaElaine Rosengart, Aaron B. I. Rosen, Tracy Tabib, Paul M. Zdinak, Kun He, Xin Bing, Florentina Bunea, Marten Wegkamp, Amanda C. Poholek, Alok V. Joglekar, Robert A. Lafyatis, Jishnu Das* + +- name: From bench to bedside via bytes- multi-omic immunoprofiling and integration using machine learning and network approaches + collaborators: Hanxi Xiao, Aaron Rosen, Prabal Chhibbar, Lenny Moise*, Jishnu Das* + +- name: SARS-CoV-2 mRNA vaccines induce greater complement activation and decreased viremia and Nef antibodies in men with HIV-1 + collaborators: Dylan J Tuttle, Priscila M S Castanha, Amro Nasser, Maris S Wilkins, Tamara García Galarza, Mounia Alaoui-El-Azher, Deirdre E Cuff, Prabal Chhibbar, Jishnu Das, Yijia Li, Simon M Barratt-Boyes, Robbie B Mailliard, Nicolas Sluis-Cremer*, Charles R Rinaldo*, Ernesto T A Marques* + +- name: The gut protist Tritrichomonas arnold restrains virus-mediated loss of oral tolerance by modulating dietary antigen-presenting dendritic cells + collaborators: Luzmariel Medina Sanchez, Magdalena Siller, Yanlin Zeng, Pamela H. Brigleb, Kishan A. Sangani, Ariadna S. Soto, Clarisse Engl, Colin R. Laughlin, Mohit Rana, Lauren Van Der Kraak, Surya P. Pandey, Mackenzie J. Bender, Britney Fitzgerald, Lee Hedden, Kay Fiske, Gwen M. Taylor, Austin P. Wright, Isha D. Mehta, Syed A. Rahman, Heather J. Galipeau Steven J. Mullett, Stacy L. Gelhaus, Simon C. Watkins, Premysl Bercik, Timothy J. Nice, Bana Jabri, Marlies Meisel, Jishnu Das, Terence S. Dermody, Elena F. Verdú, Reinhard Hinterleitner* -- name: Comprehensive proteogenomic characterization of mantle cell lymphoma (MCL) - description: > - Mantle cell lymphoma is a rare cancer that derives from B lymphocytes in the periphery (mantle zone) - of the germinal centre. MCL is most often diagnosed at stage 3 or 4 and is typically aggressive although some patients have an indolent form of the disesae. - Only 30-40% of patients with advanced disease achieving a complete response to frontline treatments (R-bendamustine). - Heterogeneous clinical response is partially attributable to observable variations in morphology, immunophenotype and proliferative capacity; - however, there is little known about the relationship between genetic features and variation in phenotype or response to specific treatment regimens. - Through a meta-analysis of in-house and existing exome sequencing data, our group has identified multiple novel driver mutations in MCL including some that associate with high or low proliferation. - To more completely ascertain the mutations that lead to lymphomagenesis in MCL, we are performing an integrative proteogenomic characterization of MCL tumours using a combination of whole genome sequencing, RNA-seq and shotgun proteomics. - We will are using these data to identify novel coding and non-coding (i.e. regulatory) driver mutations that affect the natural history of MCL including treatment response. - funding: Terry Fox Research Institute - collaborators: Marco Marra, David Scott, Diego Villa - assignees: Prasath Pararajalingam, Krysta Coyle - photo: projects/mcl_oncoplot.png - -- name: Identification and functional characterization of recurrent non-coding mutations in NHLs - description: > - The list of protein-coding drivers identified through sequencing in DLBCL - has begun to saturate and yet there remains a gap in our understanding - of how these genetic alterations contribute to the - transcriptional differences underlying known prognostic signatures and molecular subgroups. - For example, dysregulation of NF-κB is the hallmark feature of ABC - DLBCL but many ABC cases appear to lack the common driver mutations - that are known to promote NF-κB. We are seeking driver mutations - that contribute to some features of NHLs. - We use data-driven comprehnsive methods that allow identification of - non-coding SSMs with a regulatory effect in cis or trans on - genes/proteins relevant to malignancy. - funding: Terry Fox Research Institute, CIHR - collaborators: Christian Steidl, Tim Audas, Peter Unrau - assignees: Sarah Arthur, Krysta Coyle, Matthew Nguyen, Aixiang Jiang - photo: projects/NFKBIZ_overview_cropped.png - -- name: Comprehensive characterization of endemic and sporadic Burkitt lymphoma - description: > - Burkitt lymphoma (BL) is currently classified as one of three clinical - variants: endemic BL, sporadic BL, and HIV-associated BL. - The endemic variant is primarily diagnosed in sub-Saharan Africa and is - epidemiologically associated with the Epstein–Barr virus (EBV) and - malaria infection; although, the role of these pathogens in promoting - the formation of BL remains unclear. - On the other hand, sporadic BL is diagnosed outside of malaria-endemic - areas, with only a minority of cases being EBV-positive (10-30%). - This project seeks to generate high-throughput whole genome and - transcriptome sequencing data from over 100 BL tumours in order to - elucidate the genetic and molecular underpinnings of the disease. - With this project, we aim to refine the mutational landscape of BL to - facilitate the development of less toxic targeted therapies. - We also plan on investigating the oncogenic role of EBV and whether it may - serve as a better criterion for disease classification than the current - system relying on geographic origin. - funding: National Cancer Institute, Foundation for Burkitt Lymphoma Research - collaborators: Marco Marra, Louis Staudt - assignees: Bruno Grande, Aixiang Jiang - photo: projects/blgsp_ash_2017.jpg +- name: Stability and heterogeneity in the antimicrobiota reactivity of human milk-derived immunoglobulin A + collaborators: Chelseá B Johnson-Hence, Kathyayini P Gopalakrishna, Darren Bodkin, Kara E Coffey, Ansen H P Burr , Syed Rahman, Ali T Rai, Darryl A Abbott, Yelissa A Sosa, Justin T Tometich, Jishnu Das, Timothy W Hand* + +- name: PRMT blockade induces defective DNA replication stress response and synergizes with PARP inhibition + collaborators: HYang Li, Lacey E Dobrolecki, Christina Sallas, Xudong Zhang, Travis D Kerr, Deepa Bisht, Yalong Wang, Sharad Awasthi, Babita Kaundal, Siqi Wu, Weiyi Peng, Marc L Mendillo, Yiling Lu, Collene R Jeter, Guang Peng, Jinsong Liu, Shannon N Westin, Anil K Sood, Michael T Lewis, Jishnu Das, S Stephen Yi, Mark T Bedford, Daniel J McGrail*, Nidhi Sahni* + +- name: Cell‐type‐specific biomarkers of systemic sclerosis disease severity capture cell‐intrinsic and cell‐extrinsic circuits + collaborators: Berkowitz JS, Tabib T, Xiao H, Sadej GM, Khanna D, Fuschiotti P, Lafyatis RA*, Das J* + +- name: Antibodies against the Ebola virus soluble glycoprotein are associated with long-term vaccine-mediated protection of non-human primates + collaborators: Gunn BM, McNamara RP*, Wood L, Taylor S, Devadhasan A, Guo W, Das J, Nilsson A, Shurtleff A, Dubey S, Eichberg M + +- name: Lipidomic signatures align with inflammatory patterns and outcomes in critical illness + collaborators: Junru W, Anthony C, Danielle S. G, Tyler C. L, Panayiotis V. B, Jishnu Das, Upendra K. Kar, Tianmeng Chen, Francis X. Guyette, Mark H. Yazer, Brian J. Daley, Richard S. Miller, Brian G. Harbrecht, Jeffrey A. Claridge, Herb A. Phelan, Brian S. Zuckerbraun, Matthew D. Neal, Pär I. Johansson, Jakob Stensballe, Rami A. Namas, Yoram Vodovotz, Jason L. Sperry, Timothy R. Billiar & PAMPer study group + +- name: Multi-Omic Admission-Based Prognostic Biomarkers Identified by Machine Learning Algorithms Predict Patient Recovery and 30-Day Survival in Trauma Patients + collaborators: Abdelhamid SS, Scioscia J, Vodovotz Y, Wu J, Rosengart A, Sung E, Rahman S, Voinchet R, Bonaroti J, Li S, Darby JL, Kar UK, Neal MD, Sperry J, Das J, Billiar TR + +- name: Antibodies against the Ebola virus soluble glycoprotein are associated with long-term vaccine-mediated protection of non-human primates + collaborators: Gunn BM, McNamara RP*, Wood L, Taylor S, Devadhasan A, Guo W, Das J, Nilsson A, Shurtleff A, Dubey S, Eichberg M + +- name: Autoreactive CD8+ T cells are restrained by an exhaustion-like program that is maintained by LAG3 + collaborators: Grebinoski S, Zhang Q, Cillo AR, Manne S, Xiao H, Brunazzi EA, Tabib T, Cardello C, Lian CG, Murphy GF, Lafyatis R, Wherry EJ, Das J, Workman CJ, Vignali DAA -- name: Genetic characterization of HIV-associated DLBCL - description: > - Diffuse large B-cell lymphoma is a common HIV-associated cancer. - The genetic and molecular aetiology of HIV+ DLBCL has not been thoroughly explored. - This study seeks to characterize HIV+ DLBCL through comprehensive whole genome, - transcriptome, and miRNA sequencing. Enhancing our understanding of the molecular features of these - tumours, particularly those that distinguish them from other DLBCLs, may translate into improved - therapies for a growing population of patients afflicted with both HIV and cancer. - funding: National Cancer Institute - collaborators: Marco Marra, Louis Staudt - assignees: Nicole Thomas, Bruno Grande - photo: - -- name: Genetic characterization of canine B-cell lymphomas - description: > - Cancer is the leading cause of premature death in pet dogs and non-Hodgkin lymphomas are the most common cancer in most dog breeds. - Unlike human lymphomas with similar histopathology, canine B-cell lymphomas (cBCL) are incurable and exhibit an agressive clinical course. - We are sequencing cBCLs to identify driver mutations that contribute to this cancer in a variety of dog breeds. - We identified TRAF3 as a novel tumour suppressor in cBCL and are pursuing additional candidate genes. - We are also exploring plasma from cBCLs to evaluate the utility of ctDNA as a biomarker and non-invasive source of tumour DNA in canine lymphoma. - funding: NSERC - collaborators: - assignees: Kevin Bushell, Jack Hillman, Matt Cheung - photo: projects/TRAF3.png +- name: A Supervised Take on Dimensionality Reduction via Hybrid Subset Selection + collaborators: Rahimikollu J., Das J* + +- name: High Dimensional Multi-omics Reveals Unique Characteristics of Early Plasma Administration in Polytrauma Patients with TBI + collaborators: Wu J., Moheimani H, Li S, Kar U, Bonaroti J, Miller R, Daley B, Harbrecht B, Claridge J, Gruen D, Phelan H, Guyette F, Neal M., Das J*, Sperry J*, Billiar T* + +- name: A network-based approach to identify expression modules underlying rejection in pediatric liver transplantation + collaborators: Ningappa, M., Rahman, S. A., Higgs, B. W., Ashokkumar, C. S., Sahni, N., Sindhi, R., & Das, J* + +- name: Functional reprogramming of monocytes in acute and convalescent severe COVID-19 patients + collaborators: Brauns E., Azouz A., Grimaldi D., Xiao H., Thomas S., Nguyen M., Olislagers V., Vu Duc I., Orte Cano C., Del Marmol V., Pannus P., Libert F., Saussez S., Dauby N., Das J, Marchant A., Goriely S. + +- name: Fungal sensing enhances neutrophil metabolic fitness by regulating antifungal Glut1 activity + collaborators: Li D.D., Jawale C.V., Zhou C., Lin L., Trevejo-Nunez G.J., Rahman S.A., Mullet S.J., Das J., Wendell S.G., Delgoffe G.M., Lionakis M.S., Gaffen S.L., Biswas P.S.A, Dubey S, Eichberg M + +- name: Essential Regression- A generalizable framework for inferring causal latent factors from multi-omic datasets + collaborators: Bing X, Lovelace T, Bunea F, Wegkamp M, Kasturi S.P, Singh H, Benos P.V, Das J* + +- name: Upper and lower respiratory tract correlates of protection against respiratory syncytial virus following vaccination of nonhuman primates + collaborators: Zohar T., Hsiao J.C,. Mehta N., Das J., Devadhasan A., Karpinski W., Callahan C., Citron M.P., DiStefano D.J., Touch S., Wen Z., Sachs J.R., Cejas P.J., Espeseth A.S., Lauffenburger D.A., Bett A.J., Alter G. + +- name: Mechanisms of Impaired Lung Development and Ciliation in Mannosidase-1-Alpha-2 Mutants + collaborators: Ningappa N., Adenuga N., Ngo K., Mohamed N., Narayanan T., Prasadan K., Ashokkumar C., Das J., Schmitt L., Hartman H., Sehrawat A., Salgado C., Reyes-Mugica M., Gittes G, Lo C., Subramaniam S., Sindhi R. + +- name: People critically ill with COVID-19 exhibit peripheral immune profiles predictive of mortality and reflective of SARS-CoV-2 lung viral burden + collaborators: Cillo A.R., Somasundaram A., Shan F., Cardello C., Workman C.J., Kitsios G.D., Ruffin A.T., Kunning S., Lampenfeld C., Onkar S., Grebinoski S., Deshmukh G., Methe B., Liu C., Nambulli S., Andrews L.P., Duprex W.P., Joglekar A.V., Benos P.V., Ray P., Ray A., McVerry B.J., Zhang Y., Lee J.S., Das J., Singh H., Morris A., Bruno T.C., Vignali D.A.A. + +- name: Delayed fractional dosing with RTS, S/AS01 improves humoral immunity to malaria via a balance of polyfunctional NANP6-and Pf16-specific antibodies. + collaborators: Das J., Fallon J. K., Yu T. C., Michell A., Suscovich T. J. , Linde C., Natarajan H., Weiner J., Coccia M., Gregory S., Ackerman M. E., Bergmann-Leitner E., Fontana L., Dutta S., Lauffenburger D. A., Jongert E., Wille-Reece U., Alter G. + +- name: Mining for humoral correlates of HIV control and latent reservoir size + collaborators: Das J., Devadhasan A., Linde C., Broge T., Sassic J., Mangano M., O Keefe S., Suscovich T.J., Streeck H., Irrinki A., Pohlmeyer C., Min-Oo G., Lin S., Weiner J.A., Cihlar T., Ackerman M.E., Julg B., Deeks S., Lauffenburger D., Alter G. + +- name: Extracellular Matrix Injury of Kidney Allografts in Antibody-Mediated Rejection- A Proteomics Study + collaborators: Clotet-Freixas S., McEvoy C., Batruch I., Pastrello C., Kotlyar M., Van J., Arambewela M., Boshart A., Farkona S., Niu Y., Li Y., Famure O., Bozovic A., Kulasingam V., Chen P., Kim J., Chan E., Moshkelgosha S., Rahman S., Das J., Martinu T., Juvet S., Jurisica I., Chruscinski A., John R., Konvalinka A. + +- name: Glucosylation by the Legionella effector SetA promotes the nuclear localization of the transcription factor TFEB + collaborators: Beck W., Kim D., Das J., Yu H., Marcus B., Smolka M., Mao Y. + +- name: Co-immunization of DNA and Protein in the Same Anatomical Sites Induces Superior Protective Immune Responses against SHIV Challenge + collaborators: Felber B, Lu Z, Hu Z, Valentin A, Rosati M, Remmel C, Weiner J, Carpenter M, Faircloth K, Stanfield-Oakley S, Williams W, Shen X, Tomaras G, LaBranche C, Montefiori D, Trinh H, Rao M, Alam M, Vandergrift N, O Saunders K, Wang Y, Rountree W, Das J, Alter G, Reed S, Aye P, Schiro F, Pahar B, Dufour J, Veazey R, Marx P, Venzon D, Shaw G, Ferrari G, Ackerman M, Haynes B, Pavlakis G + +- name: Mapping functional humoral correlates of protection against malaria challenge following RTS, S/AS01 vaccination + collaborators: Suscovich T.*, Fallon J.*, Das J.*, Demas A.*, Crain J., Linde C., Michell A., Natarajan H., Arevalo C., Broge T., Linnekin T., Kulkarni V., Lu R., Luedemann C., Marquette M., March S., Weiner J.A., Zavala F., Gregory S., Coccia M., Flores-Garcia Y., Ackerman M.E., Bergmann-Leitner E., Lauffenburger D., Hendriks J., Sadoff J., Bhatia S., Jongert E., Wilke-Reece U., Alter G.. + +- name: Latency reversal agents modulate HIV antigen processing and presentation to CD8 T cells + collaborators: Boucau J., Das J., Joshi N., Le Gall S. + +- name: Antibody Fc-glycosylation discriminates latent and active tuberculosis + collaborators: Lu L.*, Das J.*, Grace P., Fortune S., Restrepo B., Alter G. + +- name: Epigenetic basis for monocyte dysfunction in acute-on-chronic liver failure and alcoholic hepatitis + collaborators: Weichselbaum L., Azouz A., Smolen K., Das J., Splittgerber M., Lepida A., Moreno C., Schreiber J., Serste T., Trepo E., Libert F., Gustot T., Goriely S. + +- name: Latent model-based clustering for biological discovery + collaborators: Bin X., Bunea F., Royer M., Das J.* + +- name: Effect of dietary fat and sucrose consumption on cardiac fibrosis in mice and rhesus monkeys + collaborators: Fragoza R*, Das J*, Wierbowski S.D, Liang J, Tran T.N, Liang S, Beltran J.F, Rivera-Erick C.A, Ye K, Wang T.Y, Yao L, Mort M, Stenson P.D, Cooper D.N, Wei X, Keinan ., Schimenti J.C, Clark A.G, Yu H + +- name: Fc glycan-mediated regulation of placental antibody transfer + collaborators: Jennewein M.F., Goldfarb I., Dolatshahi S., Cosgrove C., Noelette F.J., Krykbaeva M., Das J., Sarkar A., Gorman M.J., Fischinger S., Boudreau C.M., Brown J., Cooperrider J.H., Aneja J., Suscovich T.J., Graham B.S., Lauer G.M., Goetghebuer T., Marchant A., Lauffenburger D., Kim A.Y., Riley L.E., Alter G. + +- name: Genetic polymorphisms in the open reading frame of the CCR5 gene from HIV-1 seronegative and seropositive individuals from national capital regions of India + collaborators: Ronsard L, Sood V, Yousif A.S, Ramesh J, Shankar V, Das J, Sumi N, Rai T, Mohankumar K, Sridharan S, Dorschel A, Ramachandran V.G, Banerjea A.C + +- name: Antibiotics-driven gut microbiome perturbation alters immunity to vaccine in humans + collaborators: Hagan T, Cortese M, Rouphael N, Boudreau C, Linde C, Maddur M.S, Das J, Wang H, Guthmiller J, Zheng N.Y, Huang M, Uphadhyay A.A, Gardinassi L, Petitdemange C, McCullough M.P, Johnson S.J, Gill K, Cervasi B, Zou J, Bretin A, Hahn M, Gewirtz A.T, Bosinger S.E, Wilson P.C, Li S, Alter G, Khurana S, Golding H, Pulendran B + +- name: Initiation of anti-retroviral therapy before pregnancy reduces the risk of infection related hospitalization in HIV-exposed uninfected infants + collaborators: Goetghebuer T.*, Smolen K.*, Adler C.*, Das J.*, McBride T., Smits G., Lecomte S., Haelterman E., Barlow P., Piedra P.A., van der Klis F., Kollmann T.R., Lauffenburger D.A., Alter G., Levy J., Marchant A. + +- name: A role for Fc function in therapeutic monoclonal antibody-mediated protection against Ebola virus + collaborators: Gunn B.M, Yu W.H, Karim M.M, Brannan J.M, Herbert A.S, Wec A.Z, Halfmann P.J, Fusco M.L, Schendel S.L, Gangavarapu K, Krause T, Qiu X, He S, Das J, Suscovich T.J, Lai J, Chandran K, Zeitlin L, Crowe J.E. Jr, Lauffenburger D, Kawaoka Y, Kobinger G.P, Andersen K.G, Dye J.M, Saphire E.O, Alter G + +- name: Route of immunization defines multiple mechanisms of vaccine-mediated protection against SIV + collaborators: Ackerman M*, Das J, Pittala S, Broge T, Linde C, Suscovich T.J, Brown E.P, Bradley T, Natarajan H, Lin S, Sassic J.K, OKeefe S, Mehta N, Goodman D, Sips M, Weiner J.A, Tomaras G.D, Haynes B.F, Lauffenburger D.A, Bailey-Kellogg C, Roederer M, Alter G + +- name: The transcription factors Runx3, T-bet and ThPOK co-regulate acquisition of cytotoxic function by human Th1 lymphocytes + collaborators: Serroukh Y, Gu-Trantien C, Hooshiar Kashani B, Defrance M, Vu Manh T.P, Azouz A, Detavernier A, Hoyois A, Das J, Bizet M, Pollet E, Tabbuso T, Calonne E, van Gisbergen K, Dalod M, Fuks F, Goriely S, Marchant A + +- name: Analysis of Complement mediated lysis of SIV and SIV-infected cells reveals sex differences in vaccine-induced immune responses and protection from infection in Rhesus macaques + collaborators: Miller-Novak L, Das J, Musich T.A, Demberg T, Weiner J.A, Venzon D.J, Mohanram V, Vargas-Inchaustegui D.A, Tuero I, Ackerman M.E, Alter G, Robert-Guroff M + +- name: Temporal variation in HIV-specific IgG subclass antibodies during acute infection differentiates spontaneous 4 controllers from chronic progressors + collaborators: Sadanand S*, Das J*, Chung A.W*, Schoen M.K, Lane S, Suscovich T.J, Streeck H, Smith D.M, Little S.J, Lauffenburger D.A, Richman D.D, Alter G + +- name: A multi-landing pad DNA integration platform for mammalian cell engineering + collaborators: Gaidukov L, Wroblewska L, Teague B, Nelson T, Zhang X, Liu Y, Jagtap K, Mamo S, Tseng W.A, Lowe A, Das J, Bandara K, Baijuraj S, Summers N.M, Lu T.K, Zhang L, Weiss R + +- name: Control of heterologous SIVsmE660 infection by DNA and protein co-immunization regimens combined with different Toll-like receptor-4 (TLR-4) based adjuvants in macaques + collaborators: Singh S, Ramírez-Salazar E.G, Doueiri R, Valentin A, Rosati M, Hu X, Keele B.F, Shen X, Tomaras G.D, Ferrari G, LaBranche C, Montefiori D.C, Das J, Alter G, Trinh H.V, Hamlin C, Rao M, Dayton F, Bear J, Chowdhury B, Alicea C, Lifson J.D, Broderick K.E, Sardesai N.Y, Sivananthan S.J, Fox C.B, Reed S.G, Venzon D.J, Hirsch V.M, Pavlakis G.N, Felber B.K + +- name: A proteome-wide fission yeast interactome reveals network evolution principles from yeasts to human + collaborators: Vo T*, Das J*, Meyer M.J*, Cordero N.A, Akturk N, Wei X, Fair B.J, Degatano A.G, Fragoza R, Liu L.G, Matsuyama A, Trickey M, Horibata S, Grimson A, Yamano H, Yoshida M, Roth F.P, Pleiss J.A, Xia Y, Yu H + +- name: Mutation3D- cancer gene prediction through atomic clustering of coding variants in the structural proteome + collaborators: Meyer M, Lapcevic R, Romero A, Yoon M, Das J, Beltrán J.F, Mort M, Stenson P.D, Cooper D.N, Paccanaro A, Yu H + +- name: ENCAPP- elastic-net-based prognosis prediction and biomarker discovery for human cancers + collaborators: Das J, Gayvert K.M, Bunea F, Wegkamp M.H, Yu H + +- name: Phosphoproteomics reveals distinct modes of Mec1/ATR signaling during DNA replication + collaborators: de Oliviera F.B, Kim D, Cussiol J.R, Das J, Jeong M.C, Doerfler L, Schmidt K.H, Yu H, Smolka M.B + +- name: Studying autism in context + collaborators: Das J, Meyer M.J, Yu H + +- name: A massively parallel pipeline to clone DNA variants and examine molecular phenotypes of human disease mutations + collaborators: Wei X* , Das J* , Fragoza R*, Liang J, Bastos de Oliveira F.M, Lee H.R, Wang X, Mort M, Stenson P.D, Cooper D.N, Lipkin S.M, Smolka M.B, Yu H + +- name: Elucidating common structural features of human pathogenic variations using large-scale atomic-resolution protein networks + collaborators: Das J, Lee H.R, Sagar A, Fragoza R, Liang J, Wei X, Wang X, Mort M, Stenson P.D, Cooper D.N, Yu H + +- name: Predicting cancer prognosis using functional genomics datasets + collaborators: Das J, Gayvert K.M, Yu H + +- name: Cross-species protein interactome mapping reveals species-specific wiring of stress response pathways + collaborators: Das J, Vo T.V, Wei X, Mellor J.C, Tong V, Degatano A.G, Wang X, Wang L, Cordero N.A, Kruer-Zerhusen N, Matsuyama A, Pleiss J.A, Lipkin S.M, Yoshida M, Roth F.P, Yu H + +- name: Integrative annotation of variants from 1,092 humans- application to cancer genomics + collaborators: Khurana E, Fu Y, Colonna V, Mu X.J, Kang H.M, Lappalainen T, Sboner A, Lochovsky L, Chen J, Harmanci A, Das J, Abyzov A, Balasubramanian S, Beal K, Chakravarty D, Challis D, Chen Y, Clarke D, Clarke L, Cunningham F, Evani U.S, Flicek P, Fragoza R, Garrison E, Gibbs R, Gümüş Z.H, Herrero J, Kitabayashi N, Kong Y, Lage K, Liluashvili V, Lipkin S.M, MacArthur D.G, Marth G, Muzny D, Pers T.H, Ritchie G.R.S, Rosenfeld J.A, Sisu C, Wei X, Wilson M, Xue Y, Yu F, Dermitzakis E.T, Yu H, Rubin M.A, Tyler-Smith C, Gerstein M + +- name: INstruct - a database of high-quality 3D structurally resolved protein interactome networks + collaborators: Meyer M*, Das J*, Wang X*, Yu H + +- name: Dissecting disease inheritance modes in a 3D protein network challenges the guilt-by-association principle + collaborators: Guo Y, Wei X, Das J, Grimson A, Lipkin S.M, Clark A.G, Yu H + +- name: HINT- High-quality interactomes and their applications in understanding human disease + collaborators: Das J and Yu H + +- name: Genome-scale analysis of interaction dynamics reveals organization of biological networks + collaborators: Das J, Mohammed J, Yu H + +- name: Three-dimensional reconstruction of protein networks provides insight into human genetic disease + collaborators: Wang X*, Wei X*, Thijssen B*, Das J*, Lipkin S.M, Yu H diff --git a/_data/team.yml b/_data/team.yml index cf9fafd..d66df95 100644 --- a/_data/team.yml +++ b/_data/team.yml @@ -1,668 +1,173 @@ -- name: Dr. Ryan D. Morin +- name: Dr. Jishnu Das is_pi: True is_current: True position: Professor orcid: https://orcid.org/0000-0003-2932-7800 - scholar: https://scholar.google.ca/citations?user=IDau0mkAAAAJ&hl=en - researchgate: https://www.researchgate.net/profile/Ryan_Morin - github: https://github.com/rdmorin - twitter: https://twitter.com/morinryan + scholar: https://scholar.google.com/citations?user=61wI3HMAAAAJ&hl=en + researchgate: https://www.researchgate.net/profile/Jishnu-Das-2 + github: https://github.com/jishnu-lab + twitter: https://twitter.com/jishnu1729 bio: > - I am in the department of Molecular Biology and Biochemistry at - Simon Fraser University and hold a Scientist appointment in the BC Cancer Genome Sciences Centre. - I completed my MSc and PhD in bioinformatics at UBC in the laboratory of - Marco Marra. - My early research involved the use of massively parallel - sequencing to identify driver mutations in leukemias and lymphomas - including histone modifiers such as EZH2 and KMT2D. - My current research focus involves using genome and transcriptome - sequencing to discover novel drivers in B-cell lymphomas and to - determine mechanisms that underlie tumour progression and treatment - resistance. - I have a general interest in developing methods to identify non-coding - mutations with regulatory potential from genome-wide data sets and - error-corrected sequencing strategies and algorithms to identify mutations and copy number from circulating - tumour DNA (ctDNA). Dr. Morin is a Scholar of the Michael Smith Foundation for Health Research. + Jishnu completed an undergrad degree in Bioengineering at the Indian Institute of Technology Kanpur followed by graduate studies in Computational Biology at Cornell University. After a short postdoc at the Ragon Institute of MGH, MIT & Harvard/MIT, Jishnu started his Systems Immunology lab. His most important role is that of a “translator" of jargon across disciplines (comp bio, basic and translational clinical immunology); this helps bridge the interdisciplinary expertise in the lab. He is also a cheerleader for all projects in the lab. photo: team/Morin_headshot_2019.gif -- name: Dr. Laura Hilton +- name: Zarifeh Heidari Rarani is_pi: False is_current: True - position: Staff Scientist, BC Cancer Centre for Lymphoid Cancer - github: https://github.com/lkhilton - orcid: https://orcid.org/0000-0002-6413-6586 + position: Postdoctoral Associate bio: > - B-cell non-Hodgkin lymphomas have a high frequency of driver structural - variants, especially those that involve placing the oncogenes MYC, BCL2, - BCL6, and CCND1 under the control of potent immunoglobulin enhancers. - My project utilizes whole genome and targeted sequencing to characterize - these driver SVs across B-NHLs with a goal of understanding the mechanisms - by which they arise. I'm also interested in using gene expression and - mutation data to facilitate the classification of rare and/or poorly - characterized lymphomas, to identify progonostic and predictive biomarkers - and targetable vulnerabilities that can be exploited in the development - of novel therapies. + With a background in control systems engineering, I am deeply passionate about venturing into the captivating realm of computational biology, employing innovative methodologies to unravel its mysteries. photo: team/lhilton.jpg -- name: Dr. Krysta Coyle +- name: Hanxi Xiao is_pi: False is_current: True - position: Postdoctoral Fellow - scholar: https://scholar.google.ca/citations?user=AeVci4cAAAAJ&hl=en - github: https://github.com/kmcoyle - orcid: http://orcid.org/0000-0002-1309-4873 - researchgate: https://www.researchgate.net/profile/Krysta_Coyle - twitter: https://twitter.com/microbialkrysta + position: PhD Student | CMU-Pitt Program in Computational Biology (CPCB) bio: > - My research aims to understand the role of recurrent cis-regulatory - mutations in mantle cell lymphoma (MCL). - Specifically, I am characterizing a potential role for alternative - splicing in the progression of MCL. - This work uses a variety of molecular biology tools and bioinformatic - approaches to determine how mutations in RNA binding proteins - affect in vitro cell behaviour. - I am a passionate advocate for equity, diversity, and inclusion and - enjoy communicating science to kids and adults alike. + Hanxi is currently a PhD student focusing on developing methods for sequencing data analyses. She is mainly interested in applied statistics and machine learning approaches. She has 2 cats who take up most of her free time and is trying to grow a patio garden photo: team/kcoyle.jpg -- name: Prasath Pararajalingam +- name: Swapnil Keshari is_pi: False is_current: False - position: PhD Student - github: https://github.com/ppararaj + position: PhD Student | CMU-Pitt Program in Computational Biology (CPCB) bio: > - My PhD project has me exploring the molecular aetiology of mantle - cell lymphoma (MCL) using a combination of data types and a variety of bioinformatic - techniques. My analysis of the mutational landscape of MCL has - revealed an enrichment of mutations in splicing factors and RNA-binding proteins. Currently, - I am investigating deregulation of non-coding elements using a large dataset of WGS and RNA-seq MCL tumours. + Swapnil is a Computational biologist enthusiast with a keen interest in the field of genomics. Before joining the CPCB program, he completed his B.Tech. in chemical engineering from IIT Bombay, India. He likes to travel a lot and is always up for outdoor sports :). In addition to that, he loves to read crime fiction novels, paint and swim. photo: team/ppararajalingam.jpg -- name: Haya Shaalan +- name: Prabal Chhibbar is_pi: False is_current: True - position: MSc Student - github: https://github.com/hayashaalan + position: PhD Student | Integrative Systems Biology (ISB) bio: > - I work on implementing and improving pipelines for our Genomic Analysis of Mature B-cell Lymphoma project. - I’ve taken an interest in incorporating promethION long-read sequencing data into this project to perform various - analyses exploring copy number variation, simple somatic mutations, and structural variation patterns. PromethION - sequencing has certain advantages over short read sequencing in that it provides a more comprehensive view on - structural variant discovery and informs on methylation state. We hope that the addition of promethION data will - consolidate previous findings, as well as provide further insight to the genomic landscape of this disease. + Prabal completed his B.Tech in computer science and engineering from SRM Institute of Science and Technology in 2019. His interests are in Protein-Protein Interactions, Host-Viral interactions, complex networks, machine learning and deep learning. Prabal is always eager to discuss science and brainstorm ideas. Out of work, you can find him passionately discussing politics, hanging out with his friends or reading voraciously and consuming a whole lot of content. photo: team/haya.jpg -- name: Nicole Thomas +- name: Trirupa Chakraborty is_pi: False is_current: False - position: PhD Student - github: https://github.com/nthomas11 + position: PhD Student | Integrative Systems Biology (ISB) bio: > - I completed my Honours Project in the Morin lab, during which I investigated the role of putative enhancers in - Mantle Cell Lymphoma. My current role in the lab involves the mining of RNA-Seq data to identify unique gene - expression patterns present in Non-Hodgkin’s Lymphoma. Currently, I am using RNA-Seq data, in conjunction with - Whole Genome Sequencing data, to identify mutations and single nucleotide polymorphisms that affect the alternative - splicing of RNA transcripts. + Trirupa has done her BS-MS dual degree from IISER Mohali, India. Her research is primarily focused on understanding the network of non-coding DNA regions in the B cell and how they may affect B cell fate dynamics. When she is not squinting at large blocks of code, you'd find her exploring new places to eat, grooving to random Tamil songs and learning Indian classical dance or just chillin' with her friends B) photo: team/nthomas.jpg -- name: Dr. Kostiantyn Dreval +- name: Javad Rahimikollu is_pi: False is_current: True - github: https://github.com/kdreval - position: Research Associate + position: PhD Student | CMU-Pitt Program in Computational Biology (CPCB) bio: > - I obtained PhD in 2014, following which I received comprehensive training at FDA-NCTR and University of New Mexico. - During my career, I conducted original research in the area of cancer epigenomics and transcriptomics. While - performing basic research in cancer biology and epigenetics, I became passionate about scientific discoveries - in the area of bioinformatics and computational biology. In the Morin lab, I am applying a variety of bioinformatics - tools to uncover genomic features of Burkitt lymphoma, a form of aggressive B-cell non-Hodgkin lymphoma. Specifically, - my research is focused on comparing the genomic and molecular characteristics of adult and pediatric BL, Epstein-Barr - virus (EBV) positive and negative BL, as well as endemic and sporadic cases, which will allow better diagnosis approaches - and will ultimately facilitate development of more effective treatment strategies. + Javad enjoys doing research and developing methods for solving real-world problems. photo: team/kdreval.jpg -- name: Kristena Daley +- name: Priyamvada Guha Roy is_pi: False is_current: False - position: MSc Student + position: PhD Student | Human Genetics bio: > - I received my BSc in biology in 2019, with my honours thesis focusing on the assembly and annotation of the Atlantic - deep-sea scallop transcriptome in order to determine differential gene expression in populations across Atlantic Canada. - In the Morin lab, I am currently researching circulating tumor DNA (ctDNA) in various Non-Hodgkin’s lymphoma subtypes - to identify mutation- and progression-based trends. My project aims to infer genome-wide methylation of Burkitt lymphoma (BL) - and diffuse large B-cell lymphoma (DLBCL), as well as explore the benefits and drawbacks of common ctDNA - quantification strategies for both BL and DLBCL patients across Canada. + Priyamvada is a second year master's student in the Department of Human Genetics. She is interested in studying the genetic architecture underlying complex traits of public health importance. In her free time, she enjoys baking and petting dogs. photo: team/kristena.jpg -- name: Ryan Riley +- name: Aaron Rosen is_pi: False is_current: False - position: Bioinformatician + position: PhD Student | CMU-Pitt Program in Computational Biology (CPCB) bio: > - I obtained my MSc in the Gregg Morin lab co-supervised by Ryan Morin and now I am working in Ryan Morin's lab co-supervised by Gregg Morin. - My lab "claim to fame" is that my hair length exceeds the combined hair length of all the other Ryans and Morins. My interests include long walks on windy beaches at sunset, mantle cell lymphoma and proteomics. + Aaron is using computational methods to study host-pathogen interactions and autoimmunity. Before joining CPCB, Aaron graduated from the University of Washington with a B.S. in biochemistry/applied math. photo: team/IMG_1330.jpg -- name: Dr. Elie Ritch +- name: Marisa Abundis is_pi: False is_current: False - position: Bioinformatician - bio: > - I started my journey into bioinformatics and genomics in the Morin lab and here I am again after completing my PhD. It's just that fun! + position: PhD Student | CMU-Pitt Program in Computational Biology (CPCB) + bio: > + Marisa Abundis is a first year PhD student in the Department of Computational & Systems Biology. She is interested in using computational methods to improve our understanding of human health and disease. In her free time she enjoys thrifting, finding new places to eat, and looking at cute animals. photo: team/Elie_crop.jpeg -- name: Carl-Adam Mattsson +- name: Alisa Omelchenko is_pi: False is_current: False - github: https://github.com/mattssca - position: Research Programmer + position: PhD Student | CMU-Pitt Program in Computational Biology (CPCB) bio: > - With an MSc. in Bioinformatics (UBC) I work as a Research Programmer, focusing on improving existing bioinformatic and - computational infrastructure as well as the development and design of novel bioinformatic pipelines connected to Mature - B-cell Lymphoma research facilitated by the Morin lab. With a background in cytogenetics and medical genetics, I am very - interested in linking rare genetic variation to cancer predisposition and allowing for improved and effective treatment - decisions in cancer. + Alisa completed a B.S./M.S. in Biotechnology at NYU Tandon School of Engineering. Her scientific goal is to bridge the gap between the computational and biology fields through designing easily adaptable computational methods. Outside of work, she is an avid baker and loves learning to cook new cuisines. She also enjoys dancing, hiking, and yoga. photo: team/adam.jpg -- name: Jasper Wong +- name: Zakaria Larbi Dahmani is_pi: False is_current: True - position: Bioinformatician - orcid: https://orcid.org/0000-0002-8140-6517 - github: https://github.com/Jwong684 + position: PhD Student | Integrative Systems Biology (ISB) bio: > - Rare aggressive extra-nodal diffuse large B-cell lymphoma (DLBCL) remains unresponsive to standard treatments - and has a poor prognosis. My projects aim to genetically characterize these extra-nodal lymphomas to better understand - potential mechanisms driving their pathologies. One project involves investigating primary extranodal DLBCLs (specifically - primary DLBCL in the testes and CNS), and understanding biological distinctions that separate these extranodal DLBCLs - compared to their nodal counterparts, and to examine factors that promote their progression. The other project involves - examining plasmablastic lymphoma, a disease typically involving immunocompromised individuals. Because of the rarity of this - disease, very few studies have been able to examine the genomic landscape of this disease in depth. Coming from an epigenetics - background, I have a particular interest in understanding the dynamics between the genome and epigenome in cancer. + Interested in the intersection of physics, chemistry and biology, AI enthusiast, love to learn about peoples culture and stories, big on hiking, traveling and sports photo: team/jasper.JPG -- name: Sierra Gillis +- name: Kaveh Moghbeli is_pi: False is_current: True - position: Research Assistant - github: https://github.com/gillissierra + position: PhD Student | Integrative Systems Biology (ISB) bio: > - I'm part of the Morin Lab to provide bioinfomatic support. I enjoy building pipelines for variant analyses, - getting curious about Next-Generation Sequencing and alignment, and applying new techniques to investigate - ctDNA. I hope to further my collaborative programming skills while doing so. + I’m interested in systems immunology, machine learning, and lung transplantation. photo: team/sierra.jpg -- name: Dr. Vladimir Souza +- name: Jane Siwek is_pi: False is_current: True - position: Computational Biologist + position: PhD Student | CMU-Pitt Program in Computational Biology (CPCB) github: https://github.com/vladimirsouza bio: > - I have a background in Biology (BSc), Applied Statistics (MSc) and Bioinformatics (PhD). - Now I am a computational biologist in the Ryan Morin Lab and am contributing to the - development of the R package called GAMBLR. I developed an interest in B-cell lymphoma - analysis. In my free time, I like outdoor activities like riding my bike and going to - the park. + Jane is a student researcher pursuing a degree in Computational & Applied Mathematics & Statistics, Mathematical Biology Track from William & Mary. She is interested in the intersection between data science and biology, specifically using machine and deep learning methods to explore biological problems such as protein-protein interactions. She is also interested in using deep learning and neural networks to explore global education data and satellite imagery. photo: team/vlad.jpg -- name: Dr. Kurt Yakimovich +- name: Tracy Tabib is_pi: False is_current: True - position: Bioinformatician (data cowboy) + position: PhD Student | CMU-Pitt Program in Computational Biology (CPCB) github: https://github.com/kyaki bio: > - I got my PhD studying microbial diversity snow algae blooms in the mountains - around Vancouver, and named a couple algae species along the way (I will talk - your ear off about it). While I miss tracking water bears through the - mountains, after grad school I decided that humans are almost just as cool - as algae, and so I dove into the wonderfully complicated and whacky world of - cancer. I worked as a bioinformatician for two years at the now defunct - Imagia-Canexia health developing and clinically validating targeted cancer - diagnostic NGS panels (both PCR and capture based), using circulating tumour - DNA. I have now joined the Morin Lab to further my experience working with - ctDNA by exploring/supporting the work looking at its prognostic value in - DLBCL patients who have relapsed. + Tracy is a PhD student in the CMU-Pitt Program in Computational Biology (CPCB). She is interested in applying and developing computational methods to single cell data, particularly for questions and issues relating to human health and disease. photo: team/kurt.JPG -- name: Malki Wijesinghe +- name: Alyson Wang is_pi: False is_current: True - position: MSc student - github: https://github.com/MalkiWijesinghe + position: PhD Student | CMU-Pitt Program in Computational Biology (CPCB) bio: > - I'm a Statistics graduate with an interest in developing machine learning - algorithms to address biological problems in high-dimensional settings. - Currently, my focus is on the development of an advanced predictive machine - learning model specifically tailored for classifying main genetic subtypes, - DLBCL, FL, BL, and MCL within B-cell lymphoma incorporating cell of origin - details, while uncovering new subtypes. I have initiated the development - using RNA-Seq data with an underlying vision to expand into a multi-omic - approach for a more comprehensive understanding of the biological landscape. + Ally received her degrees in Chemistry and Computer Science from Wellesley College and is co-advised by Nate Lord. Outside the lab, she enjoys figure skating, playing video games, and baking. photo: team/malki.jpeg -- name: Rachel LaFrance +- name: Simar Yadav is_pi: False is_current: True - position: Undergraduate student - github: https://github.com/rl258 + position: Undergraduate Student | IIT Roorkee bio: > - I'm a 4th year Molecular Biology and Biochemistry undergrad student in my - final semester. Last year, I did a co-op at STEMCELL Technologies in RND - on the Pluripotent Stem Cell team. I gained on-the-bench experience, - including techniques like flow cytometry. After returning to SFU in the fall, - I took Dr. Morin's bioinformatics class and became interested in his research. - I am completing a Genomics certificate by working on this directed research - project. My current focus is developing a Python script to leverage mutational - information from scATAC-seq data. + Simar is an Undergraduate Student Researcher in Das Lab at the University of Pittsburgh and a Senior at IIT Roorkee in the department of Biosciences and Bioengineering. His hobbies are playing soccer and swimming and he is a huge Man United fan. His research interest lies in the field of Computational and Structural Biology and he loves to learn more about it. photo: team/rachel.jpg -- name: Houman Layegh Mirhosseini +- name: Shloka Shukla is_pi: False is_current: True - position: Undergraduate student - github: https://github.com/HoumanLM + position: Masters Student | Comutational Biology bio: > - I'm thrilled to be a part of the MORIN Lab's bioinformatic team, where I get - to have some fun building functions for the GAMBLR package. My main gig - involves working on functions that make analyzing raw data a bit easier. - Lately, I've been diving into the world of pyGAMBL, working on an API system - to offer an interface for GAMBL results. It's a work in progress, but I'm - eager to contribute my part to making data analysis more user-friendly. - Grateful for the opportunity to learn and grow with such an amazing team! + Shloka is a second-year Master's student at Carnegie Mellon University, passionately exploring the convergence of computer science and biology in the realm of computational biology. Eager to leverage her skills in analyzing biological data to enhance healthcare outcomes, she immerses herself in research and learning. Outside academia, she finds solace in reading, stays active with kickboxing, and indulges in her love for singing and dancing to Bollywood songs photo: team/houman.jpg -- name: Callum Brown +- name: Akash Kishore is_pi: False is_current: True - position: Undergraduate student - github: https://github.com/callumcbrown + position: Masters Student | Comutational Biology bio: > - I am a 4th year student in Molecular Biology and Biochemistry at SFU, and I - have been a member of the Morin Lab team for 8 months. Most of my work has - been focused on cloning DNA constructs that we use to study mutations in RNA - binding proteins, as well as assisting other members of the wet lab with - their research. I plan to continue my research in the Morin Lab by beginning - grad school later this year. + Akash is currently a masters student in Automated Science at CMU. He's interested in utilizing computational approaches for problems in biology no matter how big or small. Purveyor of random stories as a trivia buff, and always up for a game of tennis :) photo: team/callum.png -- name: Manuela Cruz +- name: Kiran Nazarali is_pi: False is_current: True - position: MSc student + position: Undergraduate Student bio: > - I perform various computational analyses to assist in the classification of driver genes within Non-Hodgkin’s Lymphoma. - By using computational methods designed to recognize recurrently mutated elements, it is possible to identify mutational - hotspots within genes of interest. Hotspots, or genomic regions that contain a higher density of mutations than would be - expected, can be recognized by analyzing the linear genomic sequence or the 3D structure of the expressed protein. - 3D structure-based methods can supplement driver gene discovery by identifying regions in the tertiary structure that - may mediate protein function and cell survival. I employ both types of methods for hotspot identification and driver - gene discovery. + IKiran is an undergraduate student majoring in Computer Science at the Georgia Institute of Technology. She has been working as a student researcher in Dr Das's lab since 2020. Her research involves mining and analyzing data using machine learning algorithms and differential expression analysis. As a researcher in the field of data science, she utilizes programming languages including R, Python, and Java. Her goal is to use critical thinking skills to solve computing problems and acquire skills to conquer the problems of tomorrow. photo: team/cruz.jpg -- name: Prince Kumar Lat - is_pi: False - is_current: False - github: https://github.com/princeklat03 - position: Volunteer - bio: > - I completed my B.Tech in Bioengineering from IIT Kanpur, India in 2015. I did my B.Tech project at two different labs. - First, at Max-Planck Institute, Germany I developed molecular biology techniques to study circular RNA. Second, at IIT Kanpur, - where I applied computational tools to study olfactory receptor mechanism in Drosophila. I completed my PhD at Simon - Fraser University in 2021, studying in-depth chemistry and biophysics of nucleic acids, including DNA/RNA - catalysis and DNA nanotechnology. Towards the end of my PhD, I developed keen interest in applying machine learning models - to solve biological problems. In the Morin lab, I aim to deploy robust classification and clustering models to enhance the - current understanding on poorly classified B-cell lymphomas. - photo: team/prince.jpg - -- name: Dr. Christopher Rushton - is_pi: False - is_current: False - position: PhD Student - github: https://github.com/ckrushton - bio: > - My research project focuses on identifying mutations in patients with relapsed Diffuse Large B-Cell Lymphoma; specifically, - the analysis of liquid biopsies obtained from these patients. As cells undergo apoptosis, apoptotic bodies containing DNA - are released into the bloodstream, and this DNA is called cell-free DNA. In patients with cancer, a portion of this - cell-free DNA originates from malignant cells, termed circulating-tumour DNA. Thus, we can obtain tumour genetic material - simply by obtaining a blood sample (called a liquid biopsy), which is less invasive and significantly cheaper than traditional - biopsies. Due to the unique nature of liquid biopsies, I am currently developing several pieces of software for analyzing - and benchmarking existing mutation-calling tools for use with these types of samples. I am applying these tools to samples - collected from several clinical trials where liquid biopsies are collected after patients are treated. By comparing the - mutation landscape of these patients prior to and following treatment, we identify mutations enriched following treatment, - which may contribute to tumour treatment resistance. - photo: team/crushton.jpg - -- name: Jeffrey Tang - is_pi: False - is_current: False - github: https://github.com/jeffstang - position: MSc Student - bio: > - Recent studies have identified 4 or 5 genetic subgroups in DLBCL, which - present a novel method of classification for alternative treatment - strategies. - My project aims to expand on classifying these subgroups - in DLBCL using a machine learning approaches utilizing molecular indicators such as mutation status from a set - of genes and hot spots, copy number status and cell-of-origin. - I hope to consolidate subtypes from these studies as well as to - capture novel groups to better describe clinical - heterogeneity in DLBCL. - photo: team/jtang.jpg - -- name: Leah Tooman - is_pi: False - is_current: False - position: Research Assistant - bio: > - My role in the Morin Lab is to support the research that is being conducted by our students and postdoctoral fellows - through sequencing and cell culture work. I am also responsible for monitoring and maintaining supplies and equipment, - conducting research, and ensuring the lab is maintaining high ethical standards . I have been working in a similar position - in different genetics based labs in Canada, New Zealand and the United States for over a decade. As passionate as I am - about the field of science, I wish it was equally accessible to people of all genders and ethnicities, and from all - socioeconomic backgrounds. - photo: team/ltooman.jpg - -- name: Quratulain Qureshi - is_pi: False - is_current: True - position: Research Technician! - bio: > - I am a recent MSc. graduate, co-supervisored by Drs. Ryan Morin and Tim Audas. - My research focuses on the impact of dysregulated RNA-binding proteins on the - transcriptome of B-cell lymphomas, with a specific emphasis on understanding - how these alterations influence the expression of lymphoma drivers. To address - these questions comprehensively, I employ a dual approach, combining cell - and molecular biology techniques with bioinformatics methods. Additionally, - I have a special interest in science communication, aiming to make research - more accessible and engaging for a wider audience. - photo: team/annie.jpg - -- name: Dr. Bruno Grande - is_pi: False - is_current: False - position: Postdoctoral fellow, former PhD student - scholar: https://scholar.google.ca/citations?user=xHoNHKEAAAAJ&hl=en - github: https://github.com/scientificbruno - orcid: https://orcid.org/0000-0002-4621-1589 - twitter: https://twitter.com/scientificbruno - bio: > - As the first bioinformatics graduate student in the lab, I've played - a role in several projects, each involving cancer genomics to some - degree. - Currently, my primary project is the genetic and molecular - characterization of paediatric Burkitt lymphoma (BL). - Defined by an epidemiological association with the Epstein–Barr virus - and malaria, the endemic variant of BL has been understudied compared - to sporadic BL, which is diagnosed in developed countries. - I lead the analysis of whole genome and transcriptome sequencing data - derived from over 100 cases, which has led to breakthroughs in our - understanding of BL pathogenesis. - On the side, I'm an advocate for open and reproducible science, a - Software Carpentry instructor teaching programming to researchers, - and the co-founder of the Scientific Programming Study Group at SFU - (SciProg.ca) and the annual Hackseq genomics hackathon. - photo: team/bgrande.jpg - -- name: Dr. Sarah Arthur - is_pi: False - is_current: False - position: Postdoctoral Fellow (former PhD student) - bio: > - My project in the lab is focused on the characterization of novel - NFKBIZ 3’ UTR mutations we previously discovered in DLBCL. - These mutations were discovered through a project searching for - genome-wide non-coding mutations and found to be significantly - enriched in the ABC sub-type of DLBCL. - My research involves functional analysis of these mutations in - DLBCL cell lines and in vivo mouse xenograft models to determine - how these mutations lead to activation of the NF-kB pathway and - contribute to DLBCL. - I am also working to determine the structure of the NFKBIZ 3’ UTR - and how mutations lead to changes that affect the regulation of - this gene. - photo: team/sarthur.jpg - -- name: Dr. Miguel Alcaide - is_pi: False - is_current: False - position: Research Associate - researchgate: https://www.researchgate.net/profile/Miguel_Alcaide - scholar: https://scholar.google.ca/citations?hl=en&user=5Jig5G4AAAAJ - bio: > - My main role at the Morin lab focuses on the development and - implementation of assays with potential utility in the genetic - stratification, non-invasive monitoring and management of cancer - patients. - We have developed assays relying on targeted hybridization capture - followed by high throughput sequencing as well as assays relying on - droplet digital PCR (ddPCR). - I am particularly interested in the development and optimization of - molecular techinques for the ultrasensitive and straightforward - detection of tumour-derived DNA fragments. - Detection and quantification of circulating tumour DNA (ctDNA) via - duplex sequencing with semi-degenerate barcoded adapters and the use - of wild-type specific hydrolysis probes (“inverted” ddPCR) to detect - multiple recurrent somatic mutations of clinical relevance are - amongst my main contributions into this growing area of research. - Currently, I am involved in different projects related to the genetic - characterization of different types of Non-Hodgkin Lymphoma, and the - detection, quantification and serial monitoring of ctDNA in cancer - patients, including those enrolled in the personalized oncogenomics - project (POG). We are also starting to apply our error-correction - duplex sequencing approach for the sequencing of ancient DNA, - including archaeological specimens of both pacific salmons and - woolly dogs. - photo: team/malcaide.jpg - -- name: Aixiang Jiang - is_pi: False - is_current: False - position: Biostatistician - github: https://github.com/ajiangsfu - bio: > - I am a statistician and a bioinformatician at times. - Although I had several years' experience in a molecular biology lab - and did tissue/cell culture, DNA and RNA isolation, real-time PCR, - quantitative and qualitative reverse transcriptase PCR (RT-PCR), - cloning, western blots, southern blots, yeast 2-hybrid (Y2H) assay, - microarray, even manually sequencing and so on; - I have been focusing on statistical analysis since 2002. - - My daily work involves data analysis, statistical consulting, and of - course statistical programming. - My research interesting, however, is to develop customized statistical - algorithms to solve biological researches problems, especially for - high dimensional data. - My recent researches are to identify mutation peaks/ranges and build - up new classification models that can be transformed to different - data sets and even different platforms. - photo: team/ajiang.jpg - - -- name: Shaghayegh Soudi - is_pi: False - is_current: False - position: Postdoctoral Fellow - bio: > - I earned my PhD in Evolutionary Biology from Germany. Before joining the Morin lab in January 2021, I was a postdoc - at university of California-Davis and UBC-University of Calgary working on understanding the genomic bases of adaptation - and convergent evolution. Cancers evolve by a reiterative process of clonal expansion, genetic diversification and - clonal selection within the adaptive landscapes of tissue ecosystems. The dynamics are complex, with highly variable - patterns of genetic diversity and resulting clonal architecture which are closely related to cancer progression, resistance - to therapy, and recurrences,therefore, our better understanding of the evolutionary landscape in cancer can help to develop - advanced treatments matching appropriately selected molecular targets. My main interest is to apply evolutionary genomics - tools to understand intra-tumour heterogeneity across multiple non-Hodgkin Lymphomas and to reconstruct their evolutionary - history as part of the Pan-cancer analysis of B-cell lymphomas using whole-genome sequencing data. These analyses will - eventually allow us to reveal the timing of specific genomic aberrations and changing mutational process over the course - of cancer evolution. - photo: team/photo_shaghayegh.png - -- name: Krishanna Campbell - is_pi: False - is_current: False - position: Undergraduate researcher - bio: > - I am an undergraduate student in MBB at SFU and a long-term volunteer with the lab. - My duties include the routine processing of blood samples to isolate plasma and cell pellet for later analysis ( eg. Circulating tumor DNA) - along with purification of the cell-free DNA from plasmas utilizing the MagMax cell-free DNA isolation kit and subsequent procedures. - I also assist in the canine B-cell lymphoma project specifically in the wet lab setting. I have a complete obsession with anything to do with animals and currently volunteer at a veterinary hospital. - I plan to study veterinary medicine after completing my BSc. - photo: team/peanut.png - -- name: Matt Cheung - is_pi: False - is_current: False - position: Undergraduate researcher - bio: > - photo: team/mcheung.jpg - -- name: Matthew Nguyen - is_pi: False - is_current: False - position: Undergraduate bioinformatician (NSERC USRA) - github: https://github.com/matnguyen - bio: > - My project focuses on using machine learning to detect and filter sequencing artifacts - in formalin-fixed paraffin embedded (FFPE) tissues. This will enable more robust variant - calling in FFPE tumours which remains a major limitation in the transition from fresh - frozen tissues. I am also using interpretable machine learning approaches to classify - subtypes of Non-Hodgkin's Lymphomas. - photo: team/mnguyen.jpg - -- name: Jack Hillman - is_pi: False - is_current: False - position: Undergraduate researcher (NSERC USRA) - bio: > - I assist with a variety of ongoing projects in the lab. I am currently performing hybridization capture to sequence several lymphoma-related genes in human and canine tumour samples. - photo: team/jhillman.jpg - -- name: Tony Ngo - is_pi: False - is_current: False - position: Undergraduate researcher - bio: > - I am an undergraduate student completing a BSc in MBB and joined the laboratory after completing MBB 342. - My honors project in the Morin lab focuses on the Fc-gamma receptor locus and the relationship between common germline copy number alterations and non-Hodgkin lymphoma. - I am using custom multiplex droplet digital PCR assays to determine the copy number state of five genes in this locus across large cohorts of cases and controls. - photo: team/tngo.jpg - -- name: Stephen Yu - is_pi: False - is_current: False - position: MSc Student - bio: > - Circulating tumour DNA (ctDNA) is rapidly becoming adopted as a - sensitive biomarker for non-invasive monitoring of treatment response - in many cancer types. - Stephen's work helped to establish and validate numerous assays for - quantifying ctDNA in plasma from lymphoma patients based on common hot spot mutations in genes such as EZH2 and STAT6. - These assays demonstrated prognostic utility of ctDNA in multiple - clinical trials and helped describe patterns of clonal evolution in DLBCL. - photo: team/syu.jpg - -- name: Kevin Bushell - is_pi: False - is_current: False - position: MSc Student - scholar: https://scholar.google.ca/citations?user=OxP8_oIAAAAJ&hl=en - bio: > - Lymphoma is the most common cancer affecting pet dogs. Kevin used - genomic techniques to identify mutations involved in lymphomagenesis - in canine B-cell lymphoma. - His work identified TRAF3 as one of the most commonly mutated genes - in this cancer. Kevin also studied the potential utility of ctDNA in a - variety of human cancers using several techniques including the OnTarget system from Boreal Genomics. - He joined the laboratory full-time after graduating and has since transitioned to law school. - photo: team/kbushell.jpg - -- name: Arezoo Mohajeri - is_pi: False - is_current: False - position: MSc Student - researchgate: https://www.researchgate.net/profile/Arezoo_Mohajeri - bio: > - Arezoo generated and analyzed exome sequence data from diffuse large B-cell lymphoma (DLBCL) and - mantle cell lymphoma (MCL) tumours. - Her thesis project involved a combination of wet-lab work and bioinformatics including a meta-analysis of published and in-house - exome data to identify new recurrently-mutated genes in MCL. Her discoveries a novel silent mutation hot spot in MAP3K14. She also demonstrated patterns of clonal evolution in relapsed DLBCL. - photo: team/amohajeri.jpg - -- name: Romene Sablok - is_pi: False - is_current: False - position: Undergraduate researcher - bio: > - - photo: team/harry.jpg - -- name: Jordan Davidson - is_pi: False - is_current: False - position: Undergraduate researcher - bio: > - - photo: team/jdavidson.jpg - -- name: Elie Ritch - is_pi: False - is_current: False - position: Undergraduate bioinformatician - bio: > - - photo: team/harry.jpg - -- name: Sepideh Alamouti - is_pi: False - is_current: False - position: Postdoctoral fellow - bio: > - - photo: team/harry.jpg - -- name: Dan Fornika - is_pi: False - is_current: False - twitter: https://twitter.com/morinryan - position: Research Assistant/Bioinformatician - bio: > - - photo: team/dfornika.jpg - -- name: Selin Jessa - is_pi: False - is_current: False - position: Undergraduate bioinformatician - bio: > - - photo: team/harry.jpg - -- name: Marco Albuquerque - is_pi: False - is_current: False - github: https://github.com/marcoalbuquerque-sfu - position: Undergraduate bioinformatician - bio: > - - photo: team/marco.jpg - -- name: Kristina Aluzaite - is_pi: False - is_current: False - position: Visiting Graduate Student - bio: > - - photo: team/harry.jpg - -- name: Stuart Zong - is_pi: False - is_current: False - position: Research Assistant - bio: > - photo: team/harry.jpg diff --git a/_pages/contact/index.html b/_pages/contact/index.html deleted file mode 100644 index 816400b..0000000 --- a/_pages/contact/index.html +++ /dev/null @@ -1,42 +0,0 @@ - - -
- - diff --git a/_pages/contact/index.md b/_pages/contact/index.md deleted file mode 100644 index 356641b..0000000 --- a/_pages/contact/index.md +++ /dev/null @@ -1,99 +0,0 @@ ---- -layout: page -title: Contact -permalink: /contact/ -toggle: on -rank: 7 ---- - - - - -## Open Positions -**Postdoctoral Fellow -- Integrative Genomic Analysis of Lymphoid Cancers** - -The Morin and Scott laboratories are seeking a Postdoctoral Fellow to take a leadership role in an ongoing effort to resolve the molecular aetiology of aggressive lymphoid cancers using genomic techniques. This individual will work closely with a team of bioinformaticians, biostatisticians and clinician-scientists in a highly productive and stimulating research environment at a world-class research facility in Vancouver, Canada. - -The successful applicant will apply cutting-edge bioinformatic techniques to analyze hundreds of terabytes of high-throughput sequencing data produced from clinical cancer samples, namely RNA-seq (bulk/single cell), whole exome, whole genome, and circulating tumour DNA sequencing data. This position demands a strong background in bioinformatics, computational biology or data science. Detailed knowledge of cancer biology (particularly non-Hodgkin lymphomas) would be an asset. - -Familiarity with algorithms for inferring clonal structure of tumours and network/pathway deregulation from sequence data is also desirable. Experience with machine learning, statistical modelling, survival analysis, and data visualization are all desirable. Characteristics of the ideal candidate include strong verbal and written communication skills, attention to detail, creativity, and the ability to remain organized in a fast-paced and dynamic environment. The successful candidate will thrive in our highly collaborative setting while also being able to drive projects independently. - -The successful candidate will report to Drs. [Ryan Morin](https://morinlab.github.io/team/) and [David Scott](https://www.bccrc.ca/dept/lcr/people/david-scott) and will be affiliated with [Canada's Michael Smith Genome Sciences Centre](https://www.bcgsc.ca/) at BC Cancer. - -*Duties will include some combination of the following:* - -- Deploy pipelines to detect somatic alterations such as CNAs, SNVs, indels and structural alterations/fusion transcripts - -- Perform clustering analyses on mutational and/or gene expression features to identify novel subgroupings - -- Develop machine learning models for the accurate identification of somatic mutations in heterogeneous and/or noisy tumour samples (*e.g.* FFPE, unpaired, ctDNA) - -- Identify *cis*-regulatory mutations using copy number, SV, and non-coding mutations - -- Quantify mutational signatures *de novo* or using reference signatures for simple somatic mutations and SVs - -- Model the effect of coding and non-coding mutations, respectively, on protein and RNA structure and function - -- Resolve clonal substructure and track tumour evolution using tissue biopsies and ctDNA - -- Identify gene expression or splicing features associated with clinical or genetic variables - -- Create bespoke visualizations of high-dimensional genomic datasets - -- Design and execute experiments and disseminate results through conference presentations and publications - -- Contribute to the writing of grant applications and training of junior lab members - -Suitable candidates should possess a PhD degree in bioinformatics, computer science, or molecular biology and must be competent in at least one programming language such as Python or R. - -Diversity is an integral part of Canadian history, culture, and identity. In the Morin laboratory, we strive to maintain an equitable and inclusive culture where all forms of diversity are seen as added value in the unifying goal of reducing the impact of cancer. - -*Applicants are requested to send a cover letter and CV to rdmorin@sfu.ca with LYMPHOMA-PDF in the subject line or using the form below* - - - - - - diff --git a/_pages/pi/index.md b/_pages/pi/index.md index 34b3bb1..e511a09 100644 --- a/_pages/pi/index.md +++ b/_pages/pi/index.md @@ -1,54 +1,23 @@ --- layout: page -title: GAMBL -permalink: /pi/ +title: Contact Us +permalink: /Contact Us/ toggle: on rank: 6 --- -# Genomic Analysis of Mature B-cell Lymphomas -Welcome to the project landing page for GAMBL! +# Contact Us -``` - /$$$$$$ /$$$$$$ /$$ /$$ /$$$$$$$ /$$. - /$$__ $$ /$$__ $$ | $$$ /$$$ | $$__ $$ | $$. -| $$ \__/ | $$ \ $$ | $$$$ /$$$$ | $$ \ $$ | $$. -| $$ /$$$$ | $$$$$$$$ | $$ $$/$$ $$ | $$$$$$$ | $$. -| $$|_ $$ | $$__ $$ | $$ $$$| $$ | $$__ $$ | $$. -| $$ \ $$ | $$ | $$ | $$\ $ | $$ | $$ \ $$ | $$. -| $$$$$$/ | $$ | $$ | $$ \/ | $$ | $$$$$$$/ | $$$$$$$$. - \______/ |__/ |__/ |__/ |__/ |_______/ |________/. -~~GENOMIC~~~~~~~~~~~~~OF~~~~~~~~~~~~~~~~~B-CELL~~~~~~~~~~~~~~~. -~~~~~~~~~~~~~ANALYSIS~~~~~~MATURE~~~~~~~~~~~~~~~~~~~LYMPHOMAS~. -``` +Thank you for your interest in our research. -## Overview +Get in touch with us for any questions or comments regarding our work and publications. -The Morin laboratory is performing a meta-analysis of whole genome sequencing (WGS) and gene expression (RNA-seq) data from B-cell lymphomas using in-house and published data sets. Our analysis will explore copy number (CNV), simple somatic mutation (SSM) and structural variation (SV) patterns within and across common mature B-cell neoplasms spanning Burkitt lymphoma, diffuse large B-cell lymphoma, follicular lymphoma, mantle cell lymphoma and chronic lymphocytic leukaemia. We will compare the prevalence of coding and non-coding driver mutations, recurrent CNVs and SVs (including gene fusions) across this spectrum of cancers. We will specifically focus on SVs involving oncogenes and both immunoglobulin and non-IG partners as well as the relationship between class switch recombination and each malignancy. Our analysis will include the comparison of SSM patterns in non-coding regions affected by aberrant somatic hypermutation (aSHM). We will use mutational signatures to infer mutational processes that contribute to SSMs in each cancer type. We will search for associations between these variables and age, EBV status and molecular subgroups. We will also analyze the available (matched) RNA-seq data for cis-regulatory alterations such as examples of allelic imbalance and mutations that affect splicing. +Currently, we have open positions at all levels (e.g., post-docs, graduate students, and undergrads). -## GAMBL presentations -[Novel Genetic Subgroups Inform on Shared Pathobiology within Adult and Pediatric Burkitt Lymphoma](https://ashpublications.org/blood/article/138/Supplement%201/806/480062/Novel-Genetic-Subgroups-Inform-on-Shared?searchresult=1) +4011 The Assembly +5051 Centre Avenue, Pittsburgh PA 15213 -[Constrained FL: A Genetically Distinct Subgroup of Follicular Lymphoma with Low Rates of Somatic Hypermutation and a Reduced Propensity for Histologic Transformation](https://ashpublications.org/blood/article/138/Supplement%201/807/480061/Constrained-FL-A-Genetically-Distinct-Subgroup-of) +jishnu@pitt.edu -[An Open-Source Toolkit That Powers the Genome-Wide Analysis of Mature B-Cell Lymphomas (GAMBL) Project](https://ash.confex.com/ash/2021/webprogram/Session21061.html) +412-624-5530 -[Complex Structural Variation Associated with Enhancer Hijacking and Loss of Tumor Suppressors in Mantle Cell Lymphoma](https://ashpublications.org/blood/article/138/Supplement%201/675/479519/Complex-Structural-Variation-Associated-with?searchresult=1) - -## Summary of genomes by pathology - -Funding: {{ project.funding }}
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