I. Tomlinson

Generation of transplantable and biologically responsive colonic tissue from human induced pluripotent stem cells using a rapid co-differentiation platform.

This paper develops a co-differentiation platform using human iPSCs to generate transplantable colonic tissue that mimics native mucosa and responds to biological signals.

Expression of the cancer-associated DNA polymerase ϵ P286R in fission yeast leads to translesion synthesis polymerase dependent hypermutation and defective DNA replication

This paper models the POLE-P286R mutation in fission yeast, showing it causes hypermutation, DNA replication defects, and dependence on translesion synthesis polymerases.

Negative selection may cause grossly altered but broadly stable karyotypes in metastatic colorectal cancer

This study analyzes longitudinal genomic data from colorectal cancer patients to show that negative selection stabilizes karyotypes during tumor progression and metastasis.

Germline and somatic genetic variants in the p53 pathway interact to affect cancer risk, progression and drug response

The paper investigates interactions between germline and somatic variants in the p53 pathway to show their combined effects on cancer risk, progression, and treatment response.

Image-based consensus molecular subtype classification (imCMS) of colorectal cancer using deep learning

This paper develops imCMS, a deep learning method to classify colorectal cancer subtypes from histological images, showing improved accuracy over bioinformatic methods.

A CRISPR Knockout Screen Identifies Foxf1 as a Suppressor of Colorectal Cancer Metastasis That Acts Through Reduced mTOR Signalling

Measuring single cell divisions in human cancers from multi-region sequencing data

This study measures single-cell division rates and survival in human cancers using multi-region sequencing data, revealing per-cell mutation and survival rates across different cancer types and healthy tissues.

The effects of mutational process and selection on driver mutations across cancer types

This study uses public cancer sequencing data to show that mutational processes influence driver mutation presence, but selection often has a larger impact across cancer types.