Evidence map›Paper›PMID 27639630›Full record

ReviewTrends in cell biology2016

The Future of Cell Biology: Emerging Model Organisms.

Bob Goldstein, Nicole King

Abstract readReview
In one paragraph

Review in Trends in cell biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers.

0numbers the graph read from it
0cells of the map it votes in
50citing 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

50 citing papers in PubMed.

  1. Evaluating the Validity of Model Organisms: A Review and a New Framework for Biologists.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2026
    Review
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Semi-automated, high-content imaging of drug transporter knockout sea urchin (Lytechinus pictus) embryos.Journal of experimental zoology. Part B, Molecular and developmental evolution · 2024
    Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Mammalian organ regeneration in spiny mice.Journal of muscle research and cell motility · 2023
    Review
  13. Chemical factors induce aggregative multicellularity in a close unicellular relative of animals.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  14. Review
  15. Review
  16. Gene delivery available in molluscan cells by strong promoter discovered from bivalve-infectious virus.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  17. Review
  18. Open biology · 2022
    Article
  19. Review
  20. Article
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.

Bob GoldsteinDepartment of Biology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA. Electronic address: bobg@email.unc.edu.
Nicole KingHoward Hughes Medical Institute and Department of Molecular and Cell Biology, University of California, Berkeley, Berkeley, CA 94720, USA. Electronic address: nicoleking.ucb@gmail.com.

Funding

Molecular Regulation of Choanoflagellate-Bacteria Signaling InteractionsR01GM099533 · NIGMS · UNIVERSITY OF CALIFORNIA BERKELEY · PI KING, NICOLE · 2012 to 2016
$1.7M
Choanoflagellate colony formation as a simple model for animal multicellularityR01GM089977 · NIGMS · UNIVERSITY OF CALIFORNIA BERKELEY · PI KING, NICOLE · 2010 to 2014
$1.6M
NIGMS NIH HHS R01 GM089977NIGMS NIH HHS R01 GM099533
6 · The paper itself

Abstract

Most current research in cell biology uses just a handful of model systems including yeast, Arabidopsis, Drosophila, Caenorhabditis elegans, zebrafish, mouse, and cultured mammalian cells. And for good reason - for many biological questions, the best system for the question is likely to be found among these models. However, in some cases, and particularly as the questions that engage scientists broaden, the best system for a question may be a little-studied organism. Modern research tools are facilitating a renaissance for unusual and interesting organisms as emerging model systems. As a result, we predict that an ever-expanding breadth of model systems may be a hallmark of future cell biology.

Indexed as

Cell BiologyModels, AnimalModels, BiologicalAnimalsBiological EvolutionHumansModels, Genetic

Identifiers

PMID27639630
PMCPMC5077642

What OpenQuestion holds

Textmetadata
LicenceTDM
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.