• Dr. Ryan D. Morin, Associate Professor

    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.

  • Aixiang Jiang, Biostatistician

    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.

  • Dr. Laura Hilton, Staff Scientist, BC Cancer Centre for Lymphoid Cancer

    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.

  • Dr. Krysta Coyle, Postdoctoral Fellow

    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.

  • Dr. Bruno Grande, Postdoctoral fellow, former PhD student

    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.

  • Sarah Arthur, PhD Student

    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.

  • Prasath Pararajalingam, PhD Student

    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.

  • Christopher Rushton, PhD Student

    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.

  • Jeffrey Tang, MSc Student

    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.

  • Nicole Thomas, MSc Student

    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.

  • Kristena Daley, MSc Student

  • Quratulain Qureshi, Undergraduate researcher

    My research project aims to investigate the mechanisms of regulation of a gene encoding an RNA binding protein, HNRNPH1. HNRNPH1 was found to be recurrently mutated in Mantle Cell Lymphoma (MCL) patients, identified through whole genome sequencing in the Morin lab. Specifically, I am implementing in-vitro assays to detect secondary structures in the HNRNPH1 RNA, hypothesized to play important roles in its regulation. I am also testing whether the introduction of patient derived mutations disrupt these structures and contribute to MCL pathobiology.

  • Matthew Nguyen, Undergraduate bioinformatician (NSERC USRA)

    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.

  • Jack Hillman, Undergraduate researcher (NSERC USRA)

    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.

  • Alumni

  • Dr. Miguel Alcaide, Research Associate

    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.

  • Leah Tooman, Research Assistant

    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.

  • Krishanna Campbell, Undergraduate researcher

    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.

  • Matt Cheung, Undergraduate researcher

  • Tony Ngo, Undergraduate researcher

    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.

  • Stephen Yu, MSc Student

    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.

  • Kevin Bushell, MSc Student

    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.

  • Arezoo Mohajeri, MSc Student

    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.

  • Romene Sablok, Undergraduate researcher

  • Jordan Davidson, Undergraduate researcher

  • Elie Ritch, Undergraduate bioinformatician

  • Sepideh Alamouti, Postdoctoral fellow

  • Dan Fornika, Research Assistant/Bioinformatician

  • Selin Jessa, Undergraduate bioinformatician

  • Marco Albuquerque, Undergraduate bioinformatician

  • Kristina Aluzaite, Visiting Graduate Student

  • Stuart Zong, Research Assistant