Studying stochastic systems biology of the cell with single-cell genomics data

G Gorin, JJ Vastola, L Pachter - Cell Systems, 2023 - cell.com
Recent experimental developments in genome-wide RNA quantification hold considerable
promise for systems biology. However, rigorously probing the biology of living cells requires …

Regulation of epithelial transitional states in murine and human pulmonary fibrosis

F Wang, C Ting, KA Riemondy… - The Journal of …, 2023 - Am Soc Clin Investig
Idiopathic pulmonary fibrosis (IPF) is a progressive scarring disease arising from impaired
regeneration of the alveolar epithelium after injury. During regeneration, type 2 alveolar …

Lost in space: what single-cell RNA sequencing cannot tell you

K Adema, MA Schon, MD Nodine, W Kohlen - Trends in Plant Science, 2024 - cell.com
Plant scientists are rapidly integrating single-cell RNA sequencing (scRNA-seq) into their
workflows. Maximizing the potential of scRNA-seq requires a proper understanding of the …

RNA velocity unraveled

G Gorin, M Fang, T Chari, L Pachter - PLOS Computational …, 2022 - journals.plos.org
We perform a thorough analysis of RNA velocity methods, with a view towards
understanding the suitability of the various assumptions underlying popular …

Mitochondrial integrated stress response controls lung epithelial cell fate

SH Han, M Lee, Y Shin, R Giovanni, RP Chakrabarty… - Nature, 2023 - nature.com
Abstract Alveolar epithelial type 1 (AT1) cells are necessary to transfer oxygen and carbon
dioxide between the blood and air. Alveolar epithelial type 2 (AT2) cells serve as a partially …

The specious art of single-cell genomics

T Chari, L Pachter - PLOS Computational Biology, 2023 - journals.plos.org
Dimensionality reduction is standard practice for filtering noise and identifying relevant
features in large-scale data analyses. In biology, single-cell genomics studies typically begin …

Time-resolved single-cell transcriptomics defines immune trajectories in glioblastoma

D Kirschenbaum, K Xie, F Ingelfinger… - Cell, 2024 - cell.com
Deciphering the cell-state transitions underlying immune adaptation across time is
fundamental for advancing biology. Empirical in vivo genomic technologies that capture …

Deep generative modeling of transcriptional dynamics for RNA velocity analysis in single cells

A Gayoso, P Weiler, M Lotfollahi, D Klein, J Hong… - Nature …, 2024 - nature.com
RNA velocity has been rapidly adopted to guide interpretation of transcriptional dynamics in
snapshot single-cell data; however, current approaches for estimating RNA velocity lack …

Unraveling non-genetic heterogeneity in cancer with dynamical models and computational tools

M Pillai, E Hojel, MK Jolly, Y Goyal - Nature Computational Science, 2023 - nature.com
Individual cells within an otherwise genetically homogenous population constantly undergo
fluctuations in their molecular state, giving rise to non-genetic heterogeneity. Such diversity …

CellRank 2: unified fate mapping in multiview single-cell data

P Weiler, M Lange, M Klein, D Pe'er, F Theis - Nature Methods, 2024 - nature.com
Single-cell RNA sequencing allows us to model cellular state dynamics and fate decisions
using expression similarity or RNA velocity to reconstruct state-change trajectories; however …