ReviewWiley interdisciplinary reviews. Systems biology and medicine
Using variability in gene expression as a tool for studying gene regulation.
Review in Wiley interdisciplinary reviews. Systems biology and medicine. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
19 citing papers in PubMed, 54 citations in OpenAlex.
- Impact of variability in cell generation times on cell-to-cell variability of protein concentrations.bioRxiv : the preprint server for biology · 2026Article
- Cyclo-stationary distributions of mRNA and Protein counts for random cell division times.bioRxiv : the preprint server for biology · 2025Article
- Anti-correlation of LacI association and dissociation rates observed in living cells.Nature communications · 2025Article
- Ability of short-chain fatty acids to reduce inflammation and attract leucocytes to the inflamed skin of gilthead seabream (Sparus aurata L.).Scientific reports · 2024Article
- Leveraging gene correlations in single cell transcriptomic data.BMC bioinformatics · 2024Article
- Leveraging gene correlations in single cell transcriptomic data.bioRxiv : the preprint server for biology · 2023Article
- Inferring gene regulation from stochastic transcriptional variation across single cells at steady state.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
- Single-cell proteomic and transcriptomic analysis of macrophage heterogeneity using SCoPE2.Genome biology · 2021Article
- Modeling the Th17 and Tregs Paradigm: Implications for Cancer Immunotherapy.Frontiers in cell and developmental biology · 2021Review
- Dormancy-to-death transition in yeast spores occurs due to gradual loss of gene-expressing ability.Molecular systems biology · 2020Article
- Paf1c defects challenge the robustness of flower meristem termination inDevelopment (Cambridge, England) · 2019Article
- A UNIFIED STATISTICAL FRAMEWORK FOR SINGLE CELL AND BULK RNA SEQUENCING DATA.The annals of applied statistics · 2018Article
- Genetics and immunity in the era of single-cell genomics.Human molecular genetics · 2016Review
- Single-cell genome-wide studies give new insight into nongenetic cell-to-cell variability in animals.Histochemistry and cell biology · 2016Review
- RNA Imaging with Multiplexed Error-Robust Fluorescence In Situ Hybridization (MERFISH).Methods in enzymology · 2016Article
- Single-cell transcriptome sequencing: recent advances and remaining challenges.F1000Research · 2016Review
- On comparing heterogeneity across biomarkers.Cytometry. Part A : the journal of the International Society for Analytical Cytology · 2015Article
- RNA imaging. Spatially resolved, highly multiplexed RNA profiling in single cells.Science (New York, N.Y.) · 2015Article
- Decoding the complex genetic causes of heart diseases using systems biology.Biophysical reviews · 2015Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
With the advent of quantitative tools for measuring gene expression in single cells, researchers have made the discovery that in many contexts, messenger RNA and protein levels can vary widely from cell to cell, often because of inherently stochastic events associated with gene expression. The study of this cellular individuality has become a field of study in its own right, characterized by a blend of technological development, theoretical analysis, and, more recently, applications to biological phenomena. In this review, we focus on the use of the variability inherent to gene expression as a tool to understand gene regulation. We discuss the use of variability as a natural systems-level perturbation, its use in quantitatively characterizing the biological processes underlying transcription, and its application to the discovery of new gene regulatory interactions. We believe that use of variability can provide new biological insights into different aspects of transcriptional control and can provide a powerful complementary approach to that of existing techniques.
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What OpenQuestion holds
Registered trials
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.