The Wen Group - Computational Biology of RNAs and Functional Genomics

The Wen Group focus on developing computational methods and models for RNA-mediated gene regulatory interactions to elucidate their impact on gene regulation, cellular identity, and the pathogenesis of diseases.

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Associate Professor Jean (Jiayu) Wen
Group Leader

About

Associate Professor Jean Wen obtained her PhD from the Australian National University (ANU). Following her doctoral studies, she undertook a postdoctoral position with Professor Anders Krogh at the Bioinformatics Centre of the University of Copenhagen, Denmark, and a research fellow position with Professor Eric Lai at the Memorial Sloan-Kettering Cancer Center (MSKCC) in New York, US. After being awarded a prestigious ARC Future Fellowship, she returned to ANU in 2018 to establish her own independent research group at the John Curtin School of Medical Research.

At the intersection of advanced computational biology and RNA biology, The Wen Group integrates innovative machine learning models with cutting-edge high-throughput assays to quantitatively model diverse modes of RNA-mediated gene regulatory interactions. These include mRNA diversity, RNA-binding proteins, miRNAs, small interfering RNAs, RNA modifications, and highly-conserved structural RNAs. Our goal is to understand how these RNA-mediated interactions control gene expression and cellular identity, how their misregulation can lead to disease, and to advance our understanding of cellular processes related to health and disease. Ultimately, we aim to contribute to breakthroughs in RNA-based technologies for treating a wide range of diseases.

 

Join our dynamic team! We are seeking dedicated PhD and Honours/Masters students with backgrounds in bioinformatics, computer science, or statistics for our interdisciplinary team. Email us at Jiayu.Wen@anu.edu.au.

Research Centres

Projects

The broader goals of the project include facilitating the exploration of the RNA interactome for researchers and suggesting potential therapeutic interventions for diseases where RNA dysfunction is a significant factor, such as in cancers and genetic disorders.

Student intake

Open for Honours, Masters, PhD students

People

Theme

Cancer

Our goal is to harness extensive single-cell and spatial transcriptome datasets to decipher APA/AS patterns and gene expression simultaneously, expanding the scope beyond conventional single-cell expression analysis.

Student intake

Open for Honours, Masters, PhD students

People

Theme

Cancer

This project advances the development of innovative machine learning models designed to unearth conserved cis-regulatory RNA structures across vertebrate genomes. This initiative includes the creation of new RNA structure 2D/3D modeling and comparative genomics methods, underpinned by robust neural network architectures.

People

  • Dr Brian Parker

Theme

Cancer

This project aims to investigate the role of APA in cell fate by studying CD8+ T cells that respond to virus infections and how RNA-binding proteins (RBPs) regulate APA in T cell differentiation.

Student intake

Open for Honours, Masters, PhD students

People

  • Dr Brian Parker

Theme

Cancer

This project aims to shed light on the role of APA and its regulation by RNA-binding proteins (RBPs) in the retina, with a particular focus on responses to oxidative stress as observed in AMD.

Student intake

Open for Honours, Masters, PhD students

People

  • Dr Brian Parker

Theme

Cancer

The Whole Cell Model Development project, spearheaded by our ARC Centre of Excellence for the Mathematical Analysis of Cellular Systems (MACSYS), is dedicated to constructing mathematical and machine learning models of entire cells, known as Whole Cell Models (WCM).

Student intake

Open for MPhil, PhD students

People

Theme

Cancer

Members

Leader

Jean (Jiayu) Wen

Group Leader - The Wen Group and ARC Future Fellow

Researcher

Collaborator

Riemke Aggio-Bruce

Postdoctoral Fellow

Head, Division of Immunology and Infectious Diseases
Group Leader
Professor

Riccardo Natoli

Group Leader - The Natoli Group

Ulrike Schumann

Research Fellow

David Tscharke

Group Leader
NHMRC Fellow

Student

No photo provided

PhD Student

Gunam Dixit

PhD Student

Liu Lixinyu

PhD Student

No photo provided

PhD Student - The Wen Group

News

Computational Biomedical CCBS

The Centre for Computational Biomedical Sciences (CCBS) is on a mission to usher in a new era of biomedical discovery through computational innovation.

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