ArticleMolecular systems biology2020
Mammalian gene expression variability is explained by underlying cell state.
Article in Molecular systems biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers.
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Who cites it
52 citing papers in PubMed, 145 citations in OpenAlex.
- A control theoretical approach to gene regulation reveals quantitative constraints for dynamic homeostasis in stochastic gene expression.Biochimica et biophysica acta. Molecular basis of disease · 2026Article
- Inter-individual gene expression variability implies stable regulation of brain-biased genes across organs in three ray-finned fishes.bioRxiv : the preprint server for biology · 2026Article
- Coordinated single-nucleus responses for quantitative disease resistance involve a calcium-associated switch in transcriptional noise.Genome biology · 2025Article
- Comparative analysis of adipose tissue mitophagy and inflammatory markers in obesity and health.Adipocyte · 2025Article
- Reconstructing noisy gene regulation dynamics using extrinsic-noise-driven neural stochastic differential equations.PLoS computational biology · 2025Article
- Ras-mediated dynamic and biphasic regulation of cell migration.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Comprehensive Evaluation of a 1021-Gene Panel in FFPE and Liquid Biopsy for Analytical and Clinical Use.International journal of molecular sciences · 2025Article
- High-resolution profiling reveals coupled transcriptional and translational regulation of transgenes.Nucleic acids research · 2025Article
- Cell-cycle dependence of bursty gene expression: insights from fitting mechanistic models to single-cell RNA-seq data.Nucleic acids research · 2025Article
- Gradient matching accelerates mixed-effects inference for biochemical networks.Bioinformatics (Oxford, England) · 2025Article
- Transient power-law behaviour following induction distinguishes between competing models of stochastic gene expression.Nature communications · 2025Article
- Priestia megaterium cells are primed for surviving lethal doses of antibiotics and chemical stress.Communications biology · 2025Article
- Linking signaling dynamics and cell fate decisions through single-cell imaging: evidence and challenges.Frontiers in cell and developmental biology · 2025Review
- High-resolution profiling reveals coupled transcriptional and translational regulation of transgenes.bioRxiv : the preprint server for biology · 2024Article
- Robustness and variability inbioRxiv : the preprint server for biology · 2024Article
- Analysis of a detailed multi-stage model of stochastic gene expression using queueing theory and model reduction.Mathematical biosciences · 2024Article
- Gram-positive bacteria are primed for surviving lethal doses of antibiotics and chemical stress.bioRxiv : the preprint server for biology · 2024Article
- Integrating single-cell transcriptomics with cellular phenotypes: cell morphology, CaBiophysical reviews · 2024Review
- Quantifying and correcting bias in transcriptional parameter inference from single-cell data.Biophysical journal · 2024Article
- Evaluation of Integrity of Allogeneic Bone Processed with High Hydrostatic Pressure: A Pilot Animal Study.Biomaterials research · 2024Article
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
Gene expression variability in mammalian systems plays an important role in physiological and pathophysiological conditions. This variability can come from differential regulation related to cell state (extrinsic) and allele-specific transcriptional bursting (intrinsic). Yet, the relative contribution of these two distinct sources is unknown. Here, we exploit the qualitative difference in the patterns of covariance between these two sources to quantify their relative contributions to expression variance in mammalian cells. Using multiplexed error robust RNA fluorescent in situ hybridization (MERFISH), we measured the multivariate gene expression distribution of 150 genes related to Ca
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.