David Arthur Hume

This study maps the distribution of macrophages in mouse mammary glands across developmental stages using 3D imaging, revealing stage-specific variations and sexual dimorphism.

This study develops an unbiased pipeline for allele-specific expression analysis in sheep, revealing pervasive and tissue-specific allelic imbalance across genes and SNVs.

The paper creates a gene expression atlas for goats, identifying transcriptional differences in immune signatures compared to sheep.

The paper investigates how linked mutations at adjacent nucleotides, termed sequential dinucleotide mutations, influence human population differentiation and protein evolution.

This study characterizes gene expression changes in the gastrointestinal tract of sheep from birth to adulthood, identifying developmental stage-specific differences, particularly in the rumen complex and immune-related genes.

The paper identifies 701 genes associated with human mitotic phases through transcriptomics analysis, including 205 putative cell cycle genes and 53 uncharacterised ones, with some showing novel centrosomal localization or proliferation inhibition.

ImSig provides immune gene signatures for blood and tissue transcriptomics data to monitor immune phenotypes in clinical samples.

The paper integrates public and new RNA-seq data to create a chicken mRNA expression atlas, revealing tissue-specific gene clusters and developmental patterns.

This study shows that environmental enrichment in pigs increases neuronal activity and synaptic plasticity genes while reducing microglial activity, similar to findings in rodents.

The paper identifies a consensus set of ruminant lncRNAs by combining cross-species RNA-seq data and positional conservation, showing that stochastic sampling can be mitigated through this approach.

The paper identifies shared expression patterns of genetic variants across tissues and cell types, enabling fine mapping of disease-associated variants and revealing key cell types involved in disease pathogenesis.

This paper presents a high-resolution gene expression atlas for sheep, identifying transcriptional signatures and functional annotations across tissues and developmental stages.