Evidence map›Paper›PMID 21224886›Full record

ReviewNature reviews. Molecular cell biology2011

Origins of regulated cell-to-cell variability.

Berend Snijder, Lucas Pelkmans

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Molecular cell biology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 189 papers.

0numbers the graph read from it
0cells of the map it votes in
189citing 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

189 citing papers in PubMed.

  1. Article
  2. Article
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  6. Chromatin accessibility regulates age-dependent nuclear mechanotransduction.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  7. Article
  8. Article
  9. Article
  10. Autonomous Oscillations of NF-κB.Advances in experimental medicine and biology · 2026
    Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Review
  18. Cellular and molecular aspects of drug resistance in cancers.Daru : journal of Faculty of Pharmacy, Tehran University of Medical Sciences · 2024
    Review
  19. Systematic data analysis pipeline for quantitative morphological cell phenotyping.Computational and structural biotechnology journal · 2024
    Review
  20. Review

129 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

2 authors.

Berend SnijderSwiss Federal Institute of Technology (ETH), Institute of Molecular Systems Biology, Wolfgang Pauli-Str. 16, CH-8093 Zürich, Switzerland.
Lucas Pelkmans

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Single-cell measurements and lineage-tracing experiments are revealing that phenotypic cell-to-cell variability is often the result of deterministic processes, despite the existence of intrinsic noise in molecular networks. In most cases, this determinism represents largely uncharacterized molecular regulatory mechanisms, which places the study of cell-to-cell variability in the realm of molecular cell biology. Further research in the field will be important to advance quantitative cell biology because it will provide new insights into the mechanisms by which cells coordinate their intracellular activities in the spatiotemporal context of the multicellular environment.

Indexed as

AnimalsEukaryotic CellsGene Expression ProfilingHumansProkaryotic CellsSingle-Cell Analysis

Identifiers

PMID21224886

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.