Evidence map›Paper›PMID 30787437›Full record

ArticleNature2019

The single-cell transcriptional landscape of mammalian organogenesis.

Junyue Cao, Malte Spielmann, Xiaojie Qiu, Xingfan Huang, Daniel M Ibrahim, Andrew J Hill, Fan Zhang, Stefan Mundlos, Lena Christiansen, Frank J Steemers and 2 more

Abstract read
In one paragraph

Article in Nature, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2,800 papers.

0numbers the graph read from it
0cells of the map it votes in
2,800citing papers in PubMed
140.4field-weighted citation impact, top 1% 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

2,800 citing papers in PubMed, 4,546 citations in OpenAlex.

  1. Trial
  2. Trial
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. p75Science advances · 2026
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

2,740 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

12 authors at 4 institutions in 2 countries.

Junyue Cao *Department of Genome Sciences, University of Washington, Seattle, WA, USA.
Malte Spielmann *Department of Genome Sciences, University of Washington, Seattle, WA, USA.
Xiaojie QiuDepartment of Genome Sciences, University of Washington, Seattle, WA, USA.
Xingfan HuangDepartment of Genome Sciences, University of Washington, Seattle, WA, USA.
Daniel M IbrahimMax Planck Institute for Molecular Genetics, RG Development & Disease, Berlin, Germany.
Andrew J HillDepartment of Genome Sciences, University of Washington, Seattle, WA, USA.
Fan ZhangIllumina, San Diego, CA, USA.
Stefan MundlosMax Planck Institute for Molecular Genetics, RG Development & Disease, Berlin, Germany.
Lena ChristiansenIllumina, San Diego, CA, USA.
Frank J SteemersIllumina, San Diego, CA, USA.
Cole TrapnellDepartment of Genome Sciences, University of Washington, Seattle, WA, USA. coletrap@uw.edu.
Jay ShendureDepartment of Genome Sciences, University of Washington, Seattle, WA, USA. shendure@uw.edu.
University of Washington · USIllumina (United States) · USMax Planck Institute for Molecular Genetics · DEBrotman Baty Institute · US

Funding

University of Washington Center for Nuclear Organization and FunctionU54DK107979 · NIDDK · UNIVERSITY OF WASHINGTON · PI NOBLE, WILLIAM STAFFORD, SHENDURE, JAY ASHOK · 2015 to 2019
$11.8M
A Spatially Resolved Molecular Atlas of Human EndotheliumU54HL145611 · NHLBI · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI CAI, LONG, SHENDURE, JAY ASHOK · 2018 to 2021
$4.9M
Pulmonary Macrophage Transplantation for Pulmonary Alveolar ProteinosisR01HL118342 · NHLBI · CINCINNATI CHILDRENS HOSP MED CTR · PI TRAPNELL, BRUCE C, TRAPNELL, BRUCE COLSTON · 2014 to 2021
$4.5M
Interpreting Genetic Variants of Uncertain SignificanceDP1HG007811 · NHGRI · UNIVERSITY OF WASHINGTON · PI SHENDURE, JAY ASHOK · 2013 to 2017
$3.8M
Massively Parallel Contiguity MappingR01HG006283 · NHGRI · UNIVERSITY OF WASHINGTON · PI SHENDURE, JAY ASHOK · 2011 to 2016
$3.4M
Charting the regulatory topography of the cell differentiation landscape with single-cell RNA-Seq.DP2HD088158 · NICHD · UNIVERSITY OF WASHINGTON · PI TRAPNELL, BRUCE COLSTON · 2015 to 2015
$2.3M
Howard Hughes Medical InstituteNHGRI NIH HHS DP1 HG007811NHGRI NIH HHS R01 HG006283NHLBI NIH HHS R01 HL118342NHLBI NIH HHS U54 HL145611NICHD NIH HHS DP2 HD088158NIDDK NIH HHS U54 DK107979
6 · The paper itself

Abstract

Mammalian organogenesis is a remarkable process. Within a short timeframe, the cells of the three germ layers transform into an embryo that includes most of the major internal and external organs. Here we investigate the transcriptional dynamics of mouse organogenesis at single-cell resolution. Using single-cell combinatorial indexing, we profiled the transcriptomes of around 2 million cells derived from 61 embryos staged between 9.5 and 13.5 days of gestation, in a single experiment. The resulting 'mouse organogenesis cell atlas' (MOCA) provides a global view of developmental processes during this critical window. We use Monocle 3 to identify hundreds of cell types and 56 trajectories, many of which are detected only because of the depth of cellular coverage, and collectively define thousands of corresponding marker genes. We explore the dynamics of gene expression within cell types and trajectories over time, including focused analyses of the apical ectodermal ridge, limb mesenchyme and skeletal muscle.

Indexed as

TranscriptomeAnimalsEctodermEmbryo, MammalianFemaleGene Expression Regulation, DevelopmentalGenetic MarkersMaleMesodermMiceMuscle DevelopmentMuscle, SkeletalOrganogenesisOrgan SpecificitySequence Analysis, RNASingle-Cell AnalysisGenetic Markers

Identifiers

PMID30787437
PMCPMC6434952
OpenAlexW2916020270

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.