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Cited by 485

The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.

Non-genetic heterogeneity of cells in development: more than just noise

Open access
Huang, Sui·2009·Development

Abstract

Cell-to-cell variability of gene expression in clonal populations of mammalian cells is ubiquitous. However, because molecular biologists habitually assume uniformity of the cell populations that serve as starting material for experimental analysis, attention to such non-genetic heterogeneity has been scant. As awareness of, and interest in, understanding its biological significance increases, this Primer attempts to clarify the confusing terminologies used in an emerging field that often conflates heterogeneity with noise, and provides a qualitative introduction to the fundamental dynamic principles that underlie heterogeneity. It thus aims to present a useful conceptual framework to organize, analyze and communicate observations made at the resolution of individual cells that indicate that heterogeneity of cell populations plays a biological role, such as in multipotency and cell fate decision.

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Crossref · 10.1242/dev.035139

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Metadata

Authors
Huang, S.
Venue
Development
Published
2009-12-01
Volume
136
Issue
23
Pages
3853-3862
ISSN
  • 0950-1991 (ISSN-L)
  • 1477-9129
OpenAlex
W2127403997
Cited by
485
References
6
FWCI
7.08
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Non-genetic heterogeneity of cells in development: more than just noise. https://app.cochat.ai/papers/10.1242/dev.035139
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Huang, S. (2009). Non-genetic heterogeneity of cells in development: more than just noise. Development. https://doi.org/10.1242/dev.035139

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.