Toward a foundation model of causal cell and tissue biology with a Perturbation Cell and Tissue Atlas

JE Rood, A Hupalowska, A Regev - Cell, 2024 - cell.com
Comprehensively charting the biologically causal circuits that govern the phenotypic space
of human cells has often been viewed as an insurmountable challenge. However, in the last …

Optimal transport for single-cell and spatial omics

C Bunne, G Schiebinger, A Krause, A Regev… - Nature Reviews …, 2024 - nature.com
High-throughput single-cell profiling provides an unprecedented ability to uncover the
molecular states of millions of cells. These technologies are, however, destructive to cells …

Diverse clonal fates emerge upon drug treatment of homogeneous cancer cells

Y Goyal, GT Busch, M Pillai, J Li, RH Boe, EI Grody… - Nature, 2023 - nature.com
Even among genetically identical cancer cells, resistance to therapy frequently emerges
from a small subset of those cells,,,,,–. Molecular differences in rare individual cells in the …

Learning single-cell perturbation responses using neural optimal transport

C Bunne, SG Stark, G Gut, JS Del Castillo… - Nature …, 2023 - nature.com
Understanding and predicting molecular responses in single cells upon chemical, genetic or
mechanical perturbations is a core question in biology. Obtaining single-cell measurements …

High-resolution genome-wide map** of chromosome-arm-scale truncations induced by CRISPR–Cas9 editing

NH Lazar, S Celik, L Chen, MM Fay, JC Irish… - Nature …, 2024 - nature.com
Clustered regularly interspaced short palindromic repeats (CRISPR)–CRISPR-associated
protein 9 (Cas9) is a powerful tool for introducing targeted mutations in DNA, but recent …

Learning causal representations of single cells via sparse mechanism shift modeling

R Lopez, N Tagasovska, S Ra, K Cho… - … on Causal Learning …, 2023 - proceedings.mlr.press
Latent variable models such as the Variational Auto-Encoder (VAE) have become a go-to
tool for analyzing biological data, especially in the field of single-cell genomics. One …

Statistical inference with a manifold-constrained RNA velocity model uncovers cell cycle speed modulations

AR Lederer, M Leonardi, L Talamanca… - Nature …, 2024 - nature.com
Across biological systems, cells undergo coordinated changes in gene expression, resulting
in transcriptome dynamics that unfold within a low-dimensional manifold. While low …

[HTML][HTML] A mini-review on perturbation modelling across single-cell omic modalities

GI Gavriilidis, V Vasileiou, A Orfanou, N Ishaque… - Computational and …, 2024 - Elsevier
Recent advances in single-cell omics technology have transformed the landscape of cellular
and molecular research, enriching the scope and intricacy of cellular characterisation …

Pooled genome-scale CRISPR screens in single cells

D Schraivogel, LM Steinmetz… - Annual Review of …, 2023 - annualreviews.org
Assigning functions to genes and learning how to control their expression are part of the
foundation of cell biology and therapeutic development. An efficient and unbiased method to …

Small data methods in omics: the power of one

KG Johnston, SF Grieco, Q Nie, FJ Theis, X Xu - Nature Methods, 2024 - nature.com
Over the last decade, biology has begun utilizing 'big data'approaches, resulting in large,
comprehensive atlases in modalities ranging from transcriptomics to neural connectomics …