Dr Jun Wang

PhD
Lecturer
Group Leader
Twitter
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
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

Epigenetic Regulation of iASPP-p63 Feedback Loop in Cutaneous Squamous Cell Carcinoma. Robinson DJ, Patel A, Purdie KJ et al. J Invest Dermatol (2019) 139(2) 1658-1671.e8
https://www.ncbi.nlm.nih.gov/pubmed/30710576

A Unique Panel of Patient-Derived Cutaneous Squamous Cell Carcinoma Cell Lines Provides a Preclinical Pathway for Therapeutic Testing. Hassan S, Purdie KJ, Wang J et al. Int J Mol Sci (2019) 20(2)
https://www.ncbi.nlm.nih.gov/pubmed/31336867

Correction: Genomic profiling reveals spatial intra-tumor heterogeneity in follicular lymphoma. Araf S, Wang J, Korfi K et al. Leukemia (2019) 33(2) 1540
https://www.ncbi.nlm.nih.gov/pubmed/30903015

Transmission of diffuse large B-cell lymphoma by an allogeneic stem-cell transplant. Araf S, Wang J, Ashton-Key M et al. Haematologica (2019) 104(2) e174-e177
https://www.ncbi.nlm.nih.gov/pubmed/29976740

The Identification and Interpretation of cis-Regulatory Noncoding Mutations in Cancer. Patel MB, Wang J High Throughput (2018) 8(2)
https://www.ncbi.nlm.nih.gov/pubmed/30577431

GATA2 monoallelic expression underlies reduced penetrance in inherited GATA2-mutated MDS/AML. Al Seraihi AF, Rio-Machin A, Tawana K et al. Leukemia (2018) 32(2) 2502-2507
https://www.ncbi.nlm.nih.gov/pubmed/29749400

The genomic landscape of cutaneous SCC reveals drivers and a novel azathioprine associated mutational signature. Inman GJ, Wang J, Nagano A et al. Nat Commun (2018) 9(2) 3667
https://www.ncbi.nlm.nih.gov/pubmed/30202019

SNPnexus: assessing the functional relevance of genetic variation to facilitate the promise of precision medicine. Dayem Ullah AZ, Oscanoa J, Wang J et al. Nucleic Acids Res (2018) 46(2) W109-W113
https://www.ncbi.nlm.nih.gov/pubmed/29757393

MicroRNA and transcriptome analysis in periocular Sebaceous Gland Carcinoma. Bladen JC, Wang J, Sangaralingam A et al. Sci Rep (2018) 8(2) 7531
https://www.ncbi.nlm.nih.gov/pubmed/29760516

IW-Scoring: an Integrative Weighted Scoring framework for annotating and prioritizing genetic variations in the noncoding genome. Wang J, Dayem Ullah AZ, Chelala C Nucleic Acids Res (2018) 46(2) e47
https://www.ncbi.nlm.nih.gov/pubmed/29390075

For additional publications, please click here
Team

Postdoctoral Researchers
Dr Eleni ManiatiDr Findlay Copley, Dr Faraz Khan

Bioinformatician
Mr Firat Uyulur

PhD Students
Ms Minal Patel, Ms Sheila Barasa

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.