Evidence map›Paper›PMID 28768204›Full record

ArticleCell reports2017

Single-Cell Landscape of Transcriptional Heterogeneity and Cell Fate Decisions during Mouse Early Gastrulation.

Hisham Mohammed, Irene Hernando-Herraez, Aurora Savino, Antonio Scialdone, Iain Macaulay, Carla Mulas, Tamir Chandra, Thierry Voet, Wendy Dean, Jennifer Nichols and 2 more

Open access · goldAbstract read
In one paragraph

Article in Cell reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 206 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
206citing papers in PubMed, 1 pooled it
18.8field-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

206 citing papers in PubMed, 1 synthesis or guideline pooled it, 376 citations in OpenAlex.

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146 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors at 5 institutions in 2 countries.

Hisham MohammedEpigenetics Programme, Babraham Institute, Cambridge CB22 3AT, UK.
Irene Hernando-HerraezEpigenetics Programme, Babraham Institute, Cambridge CB22 3AT, UK.
Aurora SavinoEpigenetics Programme, Babraham Institute, Cambridge CB22 3AT, UK.
Antonio ScialdoneEMBL-European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Cambridge CB10 1SD, UK; Wellcome Trust Sanger Institute, Single-Cell Genomics Centre, Cambridge CB10 1SA, UK.
Iain MacaulayWellcome Trust Sanger Institute, Single-Cell Genomics Centre, Cambridge CB10 1SA, UK.
Carla MulasWellcome Trust-Medical Research Council Stem Cell Institute, University of Cambridge, Tennis Court Road, Cambridge CB2 1QR, UK; Department of Physiology, Development and Neuroscience, University of Cambridge, Tennis Court Road, Cambridge CB2 3EG, UK.
Tamir ChandraEpigenetics Programme, Babraham Institute, Cambridge CB22 3AT, UK.
Thierry VoetWellcome Trust Sanger Institute, Single-Cell Genomics Centre, Cambridge CB10 1SA, UK; Department of Human Genetics, Human Genome Laboratory, KU Leuven, 3000 Leuven, Belgium.
Wendy DeanEpigenetics Programme, Babraham Institute, Cambridge CB22 3AT, UK.
Jennifer NicholsWellcome Trust-Medical Research Council Stem Cell Institute, University of Cambridge, Tennis Court Road, Cambridge CB2 1QR, UK; Department of Physiology, Development and Neuroscience, University of Cambridge, Tennis Court Road, Cambridge CB2 3EG, UK. Electronic address: jn270@cam.ac.uk.
John C MarioniEMBL-European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Cambridge CB10 1SD, UK; Wellcome Trust Sanger Institute, Single-Cell Genomics Centre, Cambridge CB10 1SA, UK; Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge CB2 ORE, UK. Electronic address: marioni@ebi.ac.uk.
Wolf ReikEpigenetics Programme, Babraham Institute, Cambridge CB22 3AT, UK; Wellcome Trust Sanger Institute, Single-Cell Genomics Centre, Cambridge CB10 1SA, UK; Centre for Trophoblast Research, University of Cambridge, Cambridge CB2 3EG, UK. Electronic address: wolf.reik@babraham.ac.uk.
Babraham Institute · GBEuropean Bioinformatics Institute · GBWellcome Sanger Institute · GBMedical Research Council · GBWellcome/MRC Cambridge Stem Cell Institute · GB

Funding

Biotechnology and Biological Sciences Research Council BB/K010867/1Cancer Research UK 22231Medical Research Council MC_PC_12009Wellcome TrustWellcome Trust 095645/Z/11/ZWellcome Trust 105031/D/14/Z
6 · The paper itself

Abstract

The mouse inner cell mass (ICM) segregates into the epiblast and primitive endoderm (PrE) lineages coincident with implantation of the embryo. The epiblast subsequently undergoes considerable expansion of cell numbers prior to gastrulation. To investigate underlying regulatory principles, we performed systematic single-cell RNA sequencing (seq) of conceptuses from E3.5 to E6.5. The epiblast shows reactivation and subsequent inactivation of the X chromosome, with Zfp57 expression associated with reactivation and inactivation together with other candidate regulators. At E6.5, the transition from epiblast to primitive streak is linked with decreased expression of polycomb subunits, suggesting a key regulatory role. Notably, our analyses suggest elevated transcriptional noise at E3.5 and within the non-committed epiblast at E6.5, coinciding with exit from pluripotency. By contrast, E6.5 primitive streak cells became highly synchronized and exhibit a shortened G1 cell-cycle phase, consistent with accelerated proliferation. Our study systematically charts transcriptional noise and uncovers molecular processes associated with early lineage decisions.

Indexed as

AnimalsCell ProliferationEmbryo, MammalianGastrulaGastrulationMiceTranscription, Geneticembryoepiblastgastrulationprimitive endodermprimitive streaksingle-cell RNA-seqtranscriptional noiseX-chromosome

Identifiers

PMID28768204
PMCPMC5554778
OpenAlexW2741536364

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.