Evidence map›Paper›PMID 19906852›Full record

ReviewDevelopment (Cambridge, England)2009

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

Sui Huang

Abstract readReview
In one paragraph

Review in Development (Cambridge, England), 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 236 papers.

0numbers the graph read from it
0cells of the map it votes in
236citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

236 citing papers in PubMed.

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176 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author.

Sui HuangInstitute for Biocomplexity and Informatics, Biological Sciences Bldg, Room 539D, University of Calgary, Calgary, AB T3A 0Y1, Canada. sui.huang@ucalgary.ca

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

CellsGenetic HeterogeneityAnimalsEpigenesis, GeneticModels, Genetic

Identifiers

PMID19906852
PMCPMC2778736

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.