A5078381854- Gene expression and cancer classification
- Gene Regulatory Network Analysis
- Bioinformatics and Genomic Networks
- Reproductive Biology and Fertility
- Traumatic Ocular and Foreign Body Injuries
- RNA Research and Splicing
- Disaster Response and Management
- RNA modifications and cancer
- Gun Ownership and Violence Research
- Viral Infectious Diseases and Gene Expression in Insects
- Mitochondrial Function and Pathology
- thermodynamics and calorimetric analyses
- Cancer Genomics and Diagnostics
- Genetics, Aging, and Longevity in Model Organisms
- Cancer, Hypoxia, and Metabolism
University of Oxford
2018-2025
Genomics (United Kingdom)
2025
Woodlands Hospital
2019
Tumor hypoxia drives metabolic shifts, cancer progression, and therapeutic resistance. Challenges in quantifying have hindered the exploitation of this potential "Achilles' heel." While gene expression signatures shown promise as surrogate measures hypoxia, signature usage is heterogeneous debated. Here, we present a systematic pan-cancer evaluation 70 14 summary scores 104 cell lines 5,407 tumor samples using 472 million length-matched random signatures. Signature score choice strongly...
TP53, the
Mitochondrial quality is implicated as a contributor to declining fertility with aging. We investigated mitochondrial transcripts in oocytes and their associated cumulus cells from mice of different ages using RNA-seq. Mice aged 3 weeks, 9 1 year were superovulated, 48 h later, oocyte complexes collected by follicle puncture. did not detect any major differences that could be attributed However, RNA which deviated the consensus sequence found at higher frequency than corresponding oocyte....
A bstract The gene encoding tumor protein p53 ( TP53 ) is the most frequently mutated in human cancer. Mutations both coding and non-coding regions of can disrupt regulatory function transcription factor, but functional impact different somatic mutations on global regulon complex poorly understood. To address this, we first proceed with a machine learning (ML) approach, then propose an integrated computational network modelling approach that reconstructs signalling networks using...