Evidence map›Paper›PMID 39516639›Full record

ArticleNature cell biology2024

Cell state transitions are decoupled from cell division during early embryo development.

Kalki Kukreja, Bill Z Jia, Sean E McGeary, Nikit Patel, Sean G Megason, Allon M Klein

Abstract read
In one paragraph

Article in Nature cell biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Kalki KukrejaDepartment of Systems Biology, Harvard Medical School, Boston, MA, USA.
Bill Z JiaDepartment of Systems Biology, Harvard Medical School, Boston, MA, USA.ORCID 0000-0002-1138-3217
Sean E McGearyDepartment of Systems Biology, Harvard Medical School, Boston, MA, USA.ORCID 0000-0001-5343-6447
Nikit PatelDepartment of Systems Biology, Harvard Medical School, Boston, MA, USA.
Sean G MegasonDepartment of Systems Biology, Harvard Medical School, Boston, MA, USA.ORCID 0000-0002-9330-2934
Allon M KleinDepartment of Systems Biology, Harvard Medical School, Boston, MA, USA. allon_klein@hms.harvard.edu.ORCID 0000-0001-8913-7879

Funding

Mapping the signaling landscape of vertebrate development at single cell resolutionR01HD096755 · NICHD · HARVARD MEDICAL SCHOOL · PI KLEIN, ALLON MOSHE, MEGASON, SEAN G · 2018 to 2022
$2.9M
NICHD NIH HHS R01 HD096755U.S. Department of Health & Human Services | NIH | Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD) R01HD096755
6 · The paper itself

Abstract

As tissues develop, cells divide and differentiate concurrently. Conflicting evidence shows that cell division is either dispensable or required for formation of cell types. Here, to determine the role of cell division in differentiation, we arrested the cell cycle in zebrafish embryos using two independent approaches and profiled them at single-cell resolution. We show that cell division is dispensable for differentiation of all embryonic tissues from early gastrulation to the end of segmentation. However, arresting cell division does slow down differentiation in some cell types, and it induces global stress responses. While differentiation is robust to blocking cell division, the proportions of cells across cell states are not, but show evidence of partial compensation. This work clarifies our understanding of the role of cell division in development and showcases the utility of combining embryo-wide perturbations with single-cell RNA sequencing to uncover the role of common biological processes across multiple tissues.

Indexed as

Cell DifferentiationCell DivisionEmbryonic DevelopmentEmbryo, NonmammalianSingle-Cell AnalysisZebrafishAnimalsGastrulationGene Expression Regulation, DevelopmentalZebrafish ProteinsZebrafish Proteins

Identifiers

PMID39516639
PMCPMC13573814

What OpenQuestion holds

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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.