Evidence map›Paper›PMID 38600066›Full record

ArticleNature communications2024

Cell-type-specific mRNA transcription and degradation kinetics in zebrafish embryogenesis from metabolically labeled single-cell RNA-seq.

Lior Fishman, Avani Modak, Gal Nechooshtan, Talya Razin, Florian Erhard, Aviv Regev, Jeffrey A Farrell, Michal Rabani

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
7.7field-weighted citation impact, top 2% of its field
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

22 citing papers in PubMed, 33 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Transcriptome and Temporal Transcriptome Analyses in Single Cells.International journal of molecular sciences · 2024
    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

8 authors at 4 institutions in 3 countries.

Lior FishmanDepartment of Genetics, Silberman Institute of Life Sciences, The Hebrew University of Jerusalem, Edmond J. Safra Campus, Jerusalem, 9190401, Israel.ORCID http://orcid.org/0000-0001-7985-7143
Avani ModakDivision of Developmental Biology, Eunice Kennedy Shriver National Institute of Child Health and Human Development, NIH, Bethesda, MD, 20814, USA.ORCID http://orcid.org/0009-0005-2540-8170
Gal NechooshtanDepartment of Genetics, Silberman Institute of Life Sciences, The Hebrew University of Jerusalem, Edmond J. Safra Campus, Jerusalem, 9190401, Israel.ORCID http://orcid.org/0000-0002-8994-8580
Talya RazinDepartment of Genetics, Silberman Institute of Life Sciences, The Hebrew University of Jerusalem, Edmond J. Safra Campus, Jerusalem, 9190401, Israel.
Florian ErhardInstitute for Virology and Immunobiology, University of Würzburg, Würzburg, Germany.ORCID http://orcid.org/0000-0002-3574-6983
Aviv RegevDepartment of Biology, MIT, Cambridge, MA, 02139, USA.ORCID http://orcid.org/0000-0003-3293-3158
Jeffrey A FarrellDivision of Developmental Biology, Eunice Kennedy Shriver National Institute of Child Health and Human Development, NIH, Bethesda, MD, 20814, USA. Jeffrey.farrell@nih.gov.ORCID http://orcid.org/0000-0003-4774-1562
Michal RabaniDepartment of Genetics, Silberman Institute of Life Sciences, The Hebrew University of Jerusalem, Edmond J. Safra Campus, Jerusalem, 9190401, Israel. michal.rabani@mail.huji.ac.il.ORCID http://orcid.org/0000-0002-8651-6096
Hebrew University of Jerusalem · ILEunice Kennedy Shriver National Institute of Child Health and Human Development · USBroad Institute · USUniversity of Würzburg · DE

Funding

Transcriptional Control of Cell Specification and Differentiation During Zebrafish DevelopmentZIAHD008997 · NICHD · EUNICE KENNEDY SHRIVER NATIONAL INSTITUTE OF CHILD HEALTH & HUMAN DEVELOPMENT · PI FARRELL, JEFFREY · 2021 to 2025
$6.7M
Error Correction in Early EmbryosK99HD091291 · NICHD · HARVARD UNIVERSITY · PI FARRELL, JEFFREY ALLEN · 2017 to 2018
$255k
Intramural NIH HHS ZIA HD008997NICHD NIH HHS K99 HD091291
6 · The paper itself

Abstract

During embryonic development, pluripotent cells assume specialized identities by adopting particular gene expression profiles. However, systematically dissecting the relative contributions of mRNA transcription and degradation to shaping those profiles remains challenging, especially within embryos with diverse cellular identities. Here, we combine single-cell RNA-Seq and metabolic labeling to capture temporal cellular transcriptomes of zebrafish embryos where newly-transcribed (zygotic) and pre-existing (maternal) mRNA can be distinguished. We introduce kinetic models to quantify mRNA transcription and degradation rates within individual cell types during their specification. These models reveal highly varied regulatory rates across thousands of genes, coordinated transcription and destruction rates for many transcripts, and link differences in degradation to specific sequence elements. They also identify cell-type-specific differences in degradation, namely selective retention of maternal transcripts within primordial germ cells and enveloping layer cells, two of the earliest specified cell types. Our study provides a quantitative approach to study mRNA regulation during a dynamic spatio-temporal response.

Indexed as

Single-Cell Gene Expression AnalysisZebrafishAnimalsEmbryonic DevelopmentGene Expression Regulation, DevelopmentalRNA, MessengerTranscription, GeneticRNA, Messenger

Identifiers

PMID38600066
PMCPMC11006943
OpenAlexW4394678773

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.