Evidence map›Paper›PMID 37188561›Full record

ReviewTrends in cell biology2023

Experimental evolution for cell biology.

Jana Helsen, Gavin Sherlock, Gautam Dey

Abstract readReview
In one paragraph

Review in Trends in cell biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Review
  2. Experimental evolution of cellular miniaturization reveals a putative mechanism for cell size evolution.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  3. Article
  4. Evolutionary cell biology comes of age.Journal of cell science · 2025
    Article
  5. Article
  6. Spindle architecture constrains karyotype in budding yeast.bioRxiv : the preprint server for biology · 2024
    Article
  7. 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

3 authors.

Jana HelsenDepartment of Genetics, Stanford University School of Medicine, Stanford, CA, USA; Cell Biology and Biophysics, European Molecular Biology Laboratory, Heidelberg, Germany. Electronic address: jana.helsen@embl.de.
Gavin SherlockDepartment of Genetics, Stanford University School of Medicine, Stanford, CA, USA. Electronic address: gsherloc@stanford.edu.
Gautam DeyCell Biology and Biophysics, European Molecular Biology Laboratory, Heidelberg, Germany. Electronic address: gautam.dey@embl.de.

Funding

Multisizer 4e - equipment for "Fitness Effects of Beneficial Mutations"R35GM131824 · NIGMS · STANFORD UNIVERSITY · PI Gavin J Sherlock · 2019 to 2026
$3.6M
NIGMS NIH HHS R35 GM131824
6 · The paper itself

Abstract

Evolutionary cell biology explores the origins, principles, and core functions of cellular features and regulatory networks through the lens of evolution. This emerging field relies heavily on comparative experiments and genomic analyses that focus exclusively on extant diversity and historical events, providing limited opportunities for experimental validation. In this opinion article, we explore the potential for experimental laboratory evolution to augment the evolutionary cell biology toolbox, drawing inspiration from recent studies that combine laboratory evolution with cell biological assays. Primarily focusing on approaches for single cells, we provide a generalizable template for adapting experimental evolution protocols to provide fresh insight into long-standing questions in cell biology.

Indexed as

Cell BiologyAnimalsBiological EvolutionHumansadaptationevolutionary cell biologyevolutionary dynamicsevolutionary innovationexperimental design

Identifiers

PMID37188561
PMCPMC10592577

What Socratic 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 Socratic graph.