Adrian Llewellyn Harris

This study shows SET1B maintains HIF activity in ccRCC, correlates with disease progression, and is a target for HIF-2 inhibitors.

This study shows that the breast tumor microenvironment transforms eosinophils into a less active state by reducing Ly6C expression, impairing their anti-tumor function, and that IFN stimulation can partially restore this phenotype.

The paper integrates multi-omics data from uterine fibroids, myometrium, and endometrium to identify differential splicing and molecular pathways associated with abnormal uterine bleeding.

The paper shows APP and Aβ-peptides modulate protein aggregation and DCG biogenesis in Drosophila cells, with mutant Aβ-peptides disrupting these processes and causing AD-like pathologies.

This paper uses agent-based modeling to study metabolic cooperation between oxygenated and hypoxic tumor cells, finding that aerobic glycolysis provides an overall advantage and that blocking glucose transporters is more effective than lactate transporters in reducing tumor growth.

This study shows that hypoxia inducible factors (HIFs) suppress RSV infection by reducing nucleolin expression and inhibiting viral replication and inflammation.

The paper identifies a switch from DICER-dependent to Argonaute-mediated miRNA biogenesis in cancer, showing that non-canonical processing of oncogenic miRNAs promotes cancer progression.

The paper identifies heritable genetic variants in cancer genes that associate with both cancer risk and anthropometric traits in a large cohort.

This study uses a new method to analyze gene-level heritability in cancer, identifying genes that explain significant heritability and are involved in tumorigenesis.

The paper shows how non-coding RNA acting as miRNA sponges can generate oscillatory dynamics in a transcriptional feedback network, with implications for understanding RNA species roles in biological processes.

The paper investigates miRNA regulation across 15 cancer types, finding complex interactions between miRNA expression and cancer hallmarks, with specific emphasis on the oncomiR-1 cluster and repression of tumour suppressor genes.

This paper introduces sigQC, an R package that standardizes gene signature quality control, demonstrating its application in evaluating signatures on cancer gene expression data.