Revealing gene function with statistical inference at single-cell resolution

C Trapnell - Nature Reviews Genetics, 2024 - nature.com
Single-cell and spatial molecular profiling assays have shown large gains in sensitivity,
resolution and throughput. Applying these technologies to specimens from human and …

Building and analyzing metacells in single-cell genomics data

M Bilous, L Hérault, AAG Gabriel… - Molecular Systems …, 2024 - embopress.org
The advent of high-throughput single-cell genomics technologies has fundamentally
transformed biological sciences. Currently, millions of cells from complex biological tissues …

Prevalence of and gene regulatory constraints on transcriptional adaptation in single cells

IA Mellis, ME Melzer, N Bodkin, Y Goyal - Genome Biology, 2024 - Springer
Background Cells and tissues have a remarkable ability to adapt to genetic perturbations via
a variety of molecular mechanisms. Nonsense-induced transcriptional compensation, a form …

PerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis

Y Wu, E Wershof, SM Schmon, M Nassar… - arXiv preprint arXiv …, 2024 - arxiv.org
We present a comprehensive framework for predicting the effects of perturbations in single
cells, designed to standardize benchmarking in this rapidly evolving field. Our framework …

[HTML][HTML] A heterogeneous pharmaco-transcriptomic landscape induced by targeting a single oncogenic kinase

RM Giglio, N Hou, A Wyatt, J Hong, L Shi… - bioRxiv, 2024 - ncbi.nlm.nih.gov
Over-activation of the epidermal growth factor receptor (EGFR) is a hallmark of glioblastoma.
However, EGFR-targeted therapies have led to minimal clinical response. While delivery of …

Discovering mechanisms of human genetic variation and controlling cell states at scale

M Frenkel, S Raman - Trends in Genetics, 2024 - cell.com
Population-scale sequencing efforts have catalogued substantial genetic variation in
humans such that variant discovery dramatically outpaces interpretation. We discuss how …