Dr Jun Wang

PhD
Senior Lecturer
Group Leader
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Research Focus

My main research interests lie in applying bioinformatics and computational approaches to analyse large-scale cancer datasets to uncover novel diagnostic and prognostic features. I also lead the Cancer Research UK Barts Centre Bioinformatics Core Facility.

Key Publications

The genomic landscape of cutaneous SCC reveals drivers and a novel azathioprine associated mutational signature. Nature Commun (2018) 9(2) 3667. PMID: 30202019

IW-Scoring: an Integrative Weighted Scoring framework for annotating and prioritising genetic variations in the noncoding genome. Nucleic Acids Research (2018) 46(8):e47. PMID: 29390075

Reduced expression of histone methyltransferases KMT2C and KMT2D correlates with improved outcome in pancreatic ductal adenocarcinoma. Cancer Research (2016) 76(16):4861-71. PMID: 27280393

Integrated genomic analysis identifies recurrent mutations and evolution patterns driving the initiation and progression of follicular lymphoma. Nature Genetics (2014) 46(2):176-81. PMID: 24362818

Major Funding

  • 2019-2022- Barts Charity Large Project Award, Investigation of the immune environment of keratinocyte skin cancer progression with implications for risk prediction and targeted prevention, Co-Investigator, £498,534.52 in total, £166,000 awarded to JW

  • 2018-2023- Cancer Research UK Accelerator Award, Early detection and intervention: Understanding the mechanisms of transformation and hidden resistance of incurable haematological malignancies, Co-investigator, £1.6M in total, £149,000 to JW

  • 2018-2020- Academy of Medical Sciences Springboard Award, Characterisation of functional non-coding mutations in follicular lymphoma, £100,000
Themes/Keywords
Bioinformatics Biomarkers Cancer Evolution and Genomics Cancer Genetics Centre for Cancer Genomics & Computational Biology
Research

My main research interests lie in applying bioinformatics and computational approaches to analyse large-scale cancer datasets to uncover novel diagnostic and prognostic features.

I also lead the BCC Bioinformatics Core Service.

Cancer is a complex genetic disease caused by DNA abnormalities. The significant reduction in sequencing costs has allowed individual researchers to carry out “routine” DNA/RNA sequencing tasks to decipher these genetic aberrations. Given the increasing amount of omics datasets and cancer big-data, the challenges are in how to analyse large-scale datasets and interpret the results accurately and efficiently, and to identify “driver” events and predictive biomarkers in tumour development and progression.

Our research interests include the following:

  • Discovery of novel driver events and diagnostic / prognostic signatures in cancer development and progression based on large-scale cancer multi-omics datasets and data integration.
  • Identification of clonal evolutionary patterns using sequential and spatial tumour samples.
  • Roles of noncoding sequence variants and dysregulated noncoding RNAs in cancer. We have recently developed a novel computational algorithm termed "IW-Scoring" to facilitate the discovery of functional noncoding mutations and variants. We aim to identify noncoding driver events using a combination of ChIP-seq, RNA-seq, WGS and targeted sequencing.
  • Investigation of immune and stroma landscape and its application in patient subgrouping and prognostic signatures in cancer.
Major Funding

  • 2019 - 2022- Barts Charity Large Project Award, Investigation of the immune environment of keratinocyte skin cancer progression with implications for risk prediction and targeted prevention, Co-Investigator, £498,534.52 in total, £166,000 awarded to JW

  • 2018-2023- Cancer Research UK Accelerator Award, Early detection and intervention: Understanding the mechanisms of transformation and hidden resistance of incurable haematological malignancies, Co-investigator, £1.6M in total, £149,000 to JW

  • 2018-2021- MRC Doctoral Training Partnership (DTP) Studentship, £83,280

  • 2018-2020- Academy of Medical Sciences Springboard Award, Characterisation of functional non-coding mutations in follicular lymphoma, £100,000

  • 2017-2022- Cancer Research UK, Programme Award, Improving outcome for patients with Poor Risk Acute Myeloid Leukaemia, £1.9M in total, Co-investigator

  • 2017-2020- MRC Doctoral Training Partnership (DTP) Studentship, £83,280

Recent Publications

Genome wide whole blood transcriptome profiling across inherited bone marrow failure subtypes. Walne AJ, Vulliamy TJ, Bewicke-Copley F et al. Blood Adv (2021) (2)
https://www.ncbi.nlm.nih.gov/pubmed/34625797

Optogenetic modeling of human neuromuscular circuits in Duchenne muscular dystrophy with CRISPR and pharmacological corrections Paredes-Redondo A, Harley P, Maniati E et al. Science Advances (2021) 7(7)

KDM5 inhibition offers a novel therapeutic strategy for the treatment of KMT2D mutant lymphomas Heward J, Konali L, D'Avola A et al. Blood (2021) 138(7) 370-381

The Genomic Landscape of Actinic Keratosis Thomson J, Bewicke-Copley F, Anene CA et al. Journal of Investigative Dermatology (2021) 141(7) 1664-1674.e7

ACSNI: An unsupervised machine-learning tool for prediction of tissue-specific pathway components using gene expression profiles Anene CA, Khan F, Bewicke-Copley F et al. Patterns (2021) 2(1) 100270-100270

Correction to 'Elucidation of the BMI1 interactome identifies novel regulatory roles in glioblastoma'. Freire-Benéitez V, Pomella N, Millner TO et al. NAR Cancer (2021) 3(2) zcab020
https://www.ncbi.nlm.nih.gov/pubmed/34319293

Elucidation of the BMI1 interactome identifies novel regulatory roles in glioblastoma. Freire-Benéitez V, Pomella N, Millner TO et al. NAR Cancer (2021) 3(2) zcab009
https://www.ncbi.nlm.nih.gov/pubmed/34316702

Identification of a novel regulator of FANCD2 mediated DNA Repair Tse WY, Maniati E, Wang J et al. (2021) (10) 9200

mTOR-dependent translation amplifies microglia priming in aging mice Keane L, Antignano I, Riechers SP et al. Journal of Clinical Investigation (2021) 131(7)

The transcriptomic landscape of prostate cancer development and progression: An integrative analysis Marzec J, Ross-Adams H, Pirrò S et al. Cancers (2021) 13(7) 1-24

For additional publications, please click here
Team

Postdoctoral Researchers
Dr Eleni Maniati, Dr Findlay Copley, Dr Chinedu A. Anene

Bioinformatician
Firat Uyulur, Dr Faraz Khan

PhD Students
Ms Minal Patel, Ms Sheila Barasa, Connor Knight

Biography
  • 2016- : Lecturer in Bioinformatics / Computational Biology, BCI, QMUL.
  • 2010-2016: Postdoctoral Fellow in Bioinformatics and Cancer Genomics, Barts Cancer Institute (BCI), QMUL.
  • 2008-2010: Postdoctoral Fellow in Bioinformatics, Department of Plant Science, Rothamsted Research.
  • 2004-2008: PhD in Evolutionary Biology, Institute of Evolutionary Biology, University of Edinburgh - Dorothy Hodgkin Postgraduate Award.
  • 2003-2004: MSc in Quantitative Genetics and Genome Analysis, Institute of Cell, Animal and Population Biology, University of Edinburgh.
  • 1999-2003: BEng in Biological Engineering, College of Life Sciences & Biotechnology, Shanghai Jiao Tong University.