Gene regulatory networks in disease and ageing

P Unger Avila, T Padvitski, AC Leote, H Chen… - Nature Reviews …, 2024‏ - nature.com
The precise control of gene expression is required for the maintenance of cellular
homeostasis and proper cellular function, and the declining control of gene expression with …

[HTML][HTML] Workability of mRNA sequencing for predicting protein abundance

EA Ponomarenko, GS Krasnov, OI Kiseleva… - Genes, 2023‏ - mdpi.com
Transcriptomics methods (RNA-Seq, PCR) today are more routine and reproducible than
proteomics methods, ie, both mass spectrometry and immunochemical analysis. For this …

[HTML][HTML] Genome-wide quantification of RNA flow across subcellular compartments reveals determinants of the mammalian transcript life cycle

R Ietswaart, BM Smalec, A Xu, K Choquet, E McShane… - Molecular Cell, 2024‏ - cell.com
Dissecting the regulatory mechanisms controlling mammalian transcripts from production to
degradation requires quantitative measurements of mRNA flow across the cell. We …

Method of moments framework for differential expression analysis of single-cell RNA sequencing data

MC Kim, R Gate, DS Lee, A Tolopko, A Lu, E Gordon… - Cell, 2024‏ - cell.com
Differential expression analysis of single-cell RNA sequencing (scRNA-seq) data is central
for characterizing how experimental factors affect the distribution of gene expression …

Genome-wide inference reveals that feedback regulations constrain promoter-dependent transcriptional burst kinetics

S Luo, Z Wang, Z Zhang, T Zhou… - Nucleic Acids …, 2023‏ - academic.oup.com
Gene expression in mammalian cells is highly variable and episodic, resulting in a series of
discontinuous bursts of mRNAs. A challenge is to understand how static promoter …

Population Diversity at the Single-Cell Level

MG Gordon, P Kathail, B Choy, MC Kim… - Annual Review of …, 2024‏ - annualreviews.org
Population-scale single-cell genomics is a transformative approach for unraveling the
intricate links between genetic and cellular variation. This approach is facilitated by cutting …

A dynamical perspective: moving towards mechanism in single-cell transcriptomics

RJ Maizels - … Transactions of the Royal Society B, 2024‏ - royalsocietypublishing.org
As the field of single-cell transcriptomics matures, research is shifting focus from
phenomenological descriptions of cellular phenotypes to a mechanistic understanding of the …

Dissecting and improving gene regulatory network inference using single-cell transcriptome data

L Xue, Y Wu, Y Lin - Genome Research, 2023‏ - genome.cshlp.org
Single-cell transcriptome data has been widely used to reconstruct gene regulatory
networks (GRNs) controlling critical biological processes such as development and …

Leveraging prior knowledge to infer gene regulatory networks from single-cell RNA-sequencing data

M Stock, C Losert, M Zambon, N Popp… - Molecular Systems …, 2025‏ - embopress.org
Many studies have used single-cell RNA sequencing (scRNA-seq) to infer gene regulatory
networks (GRNs), which are crucial for understanding complex cellular regulation. However …

Quantifying Landscape‐Flux via Single‐Cell Transcriptomics Uncovers the Underlying Mechanism of Cell Cycle

L Zhu, J Wang - Advanced Science, 2024‏ - Wiley Online Library
Recent developments in single‐cell sequencing technology enable the acquisition of entire
transcriptome data. Understanding the underlying mechanism and identifying the driving …