ReviewNature reviews. Genetics2019
Challenges in measuring and understanding biological noise.
Review in Nature reviews. Genetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 129 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
129 citing papers in PubMed.
- Pathway potency in methylation altered network reveals lung cancer branching evolution and hallmarks.iScience · 2026Article
- Deciphering global transcriptional dynamics coordinated by gene-gene regulatory interactions using single-cell data.Molecular systems biology · 2026Article
- A module-based approach for post-omics, post-GWAS network-based gene classification.Bioinformatics (Oxford, England) · 2026Article
- High-efficiency callus induction from intact Camellia sinensis leaves via controlled incisions and its regulatory mechanisms.BMC plant biology · 2026Article
- Immortal genome assumption significantly underestimates replication and death rates ofMicrobiology spectrum · 2026Article
- Transcription clusters and developmental pathways - nature, nurture, noise.Journal of cell science · 2026Review
- Immortal genome assumption significantly underestimates replication and death rates ofbioRxiv : the preprint server for biology · 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
- Decoding causal m6A: a bioinformatics roadmap for psychiatric disorders.Briefings in bioinformatics · 2026Review
- Article
- Assessment of dispersion metrics for estimating single-cell transcriptional variability.PLoS computational biology · 2026Article
- Incoherent feedforward loop dominates the robustness and tunability of necroptosis biphasic, emergent, and coexistent dynamics.Fundamental research · 2026Article
- Omics-based dissection of alternative splicing and the regulatory architecture in fungal genomes.Current research in microbial sciences · 2026Review
- Coordinated single-nucleus responses for quantitative disease resistance involve a calcium-associated switch in transcriptional noise.Genome biology · 2025Article
- Inherent variability limits clinical utility of reproducible Parkinson's transcriptomics signatures.NPJ Parkinson's disease · 2025Article
- Article
- Mitochondrial Glutathione Import Enables Breast Cancer Metastasis via Integrated Stress Response Signaling.Cancer discovery · 2025Article
- The Constrained Disorder Principle: A Paradigm Shift for Accurate Interactome Mapping and Information Analysis in Complex Biological Systems.Bioengineering (Basel, Switzerland) · 2025Review
- Bridging-Induced Phase Separation and Loop Extrusion Drive Noise in Chromatin Transcription.Physical review letters · 2025Article
- Towards a mathematical framework for modelling cell fate dynamics.Journal of mathematical biology · 2025Article
69 more citing papers are in PubMed but not listed here.
Corrections and comments
- Erratum issued
Authors and funding
3 authors.
Funding
Abstract
Biochemical reactions are intrinsically stochastic, leading to variation in the production of mRNAs and proteins within cells. In the scientific literature, this source of variation is typically referred to as 'noise'. The observed variability in molecular phenotypes arises from a combination of processes that amplify and attenuate noise. Our ability to quantify cell-to-cell variability in numerous biological contexts has been revolutionized by recent advances in single-cell technology, from imaging approaches through to 'omics' strategies. However, defining, accurately measuring and disentangling the stochastic and deterministic components of cell-to-cell variability is challenging. In this Review, we discuss the sources, impact and function of molecular phenotypic variability and highlight future directions to understand its role.
Identifiers
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.