Time-resolved single-cell RNA-seq using metabolic RNA labelling

F Erhard, AE Saliba, A Lusser, C Toussaint… - Nature Reviews …, 2022 - nature.com
Single-cell RNA genomics technologies are revolutionizing biomedical science by profiling
single cells with unprecedented resolution, providing fundamental insights into the role of …

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 …

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 …

[HTML][HTML] Control of transcript variability in single mammalian cells

N Battich, T Stoeger, L Pelkmans - Cell, 2015 - cell.com
A central question in biology is whether variability between genetically identical cells
exposed to the same culture conditions is largely stochastic or deterministic. Using image …

Nuclear retention of mRNA in mammalian tissues

KB Halpern, I Caspi, D Lemze, M Levy, S Landen… - Cell reports, 2015 - cell.com
Summary mRNA is thought to predominantly reside in the cytoplasm, where it is translated
and eventually degraded. Although nuclear retention of mRNA has a regulatory potential, it …

Biophysical modeling with variational autoencoders for bimodal, single-cell RNA sequencing data

M Carilli, G Gorin, Y Choi, T Chari, L Pachter - Nature Methods, 2024 - nature.com
Here we present biVI, which combines the variational autoencoder framework of scVI with
biophysical models describing the transcription and splicing kinetics of RNA molecules. We …

Interpretable and tractable models of transcriptional noise for the rational design of single-molecule quantification experiments

G Gorin, JJ Vastola, M Fang, L Pachter - Nature Communications, 2022 - nature.com
The question of how cell-to-cell differences in transcription rate affect RNA count
distributions is fundamental for understanding biological processes underlying transcription …

Quantifying how post-transcriptional noise and gene copy number variation bias transcriptional parameter inference from mRNA distributions

X Fu, HP Patel, S Coppola, L Xu, Z Cao, TL Lenstra… - Elife, 2022 - elifesciences.org
Transcriptional rates are often estimated by fitting the distribution of mature mRNA numbers
measured using smFISH (single molecule fluorescence in situ hybridization) with the …

[HTML][HTML] Cytoplasmic amplification of transcriptional noise generates substantial cell-to-cell variability

MMK Hansen, RV Desai, ML Simpson, LS Weinberger - Cell systems, 2018 - cell.com
Transcription is an episodic process characterized by probabilistic bursts, but how the
transcriptional noise from these bursts is modulated by cellular physiology remains unclear …

Passive noise filtering by cellular compartmentalization

T Stoeger, N Battich, L Pelkmans - Cell, 2016 - cell.com
Chemical reactions contain an inherent element of randomness, which presents itself as
noise that interferes with cellular processes and communication. Here we discuss the ability …