Evidence map›Paper›PMID 32315617›Full record

ArticleCell2020

MorphoSeq: Full Single-Cell Transcriptome Dynamics Up to Gastrulation in a Chordate.

Hanna L Sladitschek, Ulla-Maj Fiuza, Dinko Pavlinic, Vladimir Benes, Lars Hufnagel, Pierre A Neveu

Open access · hybridAbstract read
In one paragraph

Article in Cell, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
4.1field-weighted citation impact, top 5% 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

25 citing papers in PubMed, 56 citations in OpenAlex.

  1. Article
  2. Marine Model Organisms for Mechanobiology Studies.Results and problems in cell differentiation · 2026
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  9. MarkerMap: nonlinear marker selection for single-cell studies.NPJ systems biology and applications · 2024
    Article
  10. Review
  11. Article
  12. Dynamics ofProceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  13. Article
  14. Article
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  16. Article
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  18. Article
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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

6 authors at 3 institutions in 2 countries.

Hanna L SladitschekCell Biology and Biophysics Unit, European Molecular Biology Laboratory, 69117 Heidelberg, Germany; Department of Molecular Medicine, University of Padua School of Medicine, 35126 Padua, Italy.
Ulla-Maj FiuzaCell Biology and Biophysics Unit, European Molecular Biology Laboratory, 69117 Heidelberg, Germany.
Dinko PavlinicGenomics Core Facility, European Molecular Biology Laboratory, 69117 Heidelberg, Germany.
Vladimir BenesGenomics Core Facility, European Molecular Biology Laboratory, 69117 Heidelberg, Germany.
Lars HufnagelCell Biology and Biophysics Unit, European Molecular Biology Laboratory, 69117 Heidelberg, Germany. Electronic address: hufnagel@embl.de.
Pierre A NeveuCell Biology and Biophysics Unit, European Molecular Biology Laboratory, 69117 Heidelberg, Germany. Electronic address: neveu@embl.de.
European Molecular Biology Laboratory · DEEuropean Molecular Biology Laboratory · DEUniversity of Padua · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Single-cell RNA sequencing (scRNA-seq) provides a leap forward in resolving cellular diversity and developmental trajectories but fails to comprehensively delineate the spatial organization and precise cellular makeup of individual embryos. Here, we reconstruct from scRNA-seq and light sheet imaging data a canonical digital embryo that captures the genome-wide gene expression trajectory of every single cell at every cell division in the 18 lineages up to gastrulation in the ascidian Phallusia mammillata. By using high-coverage scRNA-seq, we devise a computational framework that stratifies single cells of individual embryos into cell types without prior knowledge. Unbiased transcriptome data analysis mapped each cell's physical position and lineage history, yielding the complete history of gene expression at the genome-wide level for every single cell in a developing embryo. A comparison of individual embryos reveals both extensive reproducibility between symmetric embryo sides and a large inter-embryonic variability due to small differences in embryogenesis timing.

Indexed as

AnimalsCell LineageChordataComputational BiologyGastrulationGene Expression ProfilingGene Expression Regulation, DevelopmentalReproducibility of ResultsSequence Analysis, RNASingle-Cell AnalysisTranscriptomeUrochordataascidiancell fate specificationcell type classificationembryogenesisgene expression noiselight sheet imaginglineage reconstructionsingle-cell RNA sequencingspatial reconstruction

Identifiers

PMID32315617
PMCPMC7237864
OpenAlexW3017252764

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.