Evidence map›Paper›PMID 25096407›Full record

ArticleGenome research2014

Cell fate inclination within 2-cell and 4-cell mouse embryos revealed by single-cell RNA sequencing.

Fernando H Biase, Xiaoyi Cao, Sheng Zhong

Open access · bronzeAbstract read
In one paragraph

Article in Genome research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 130 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
130citing papers in PubMed, 1 pooled it
–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

130 citing papers in PubMed, 1 synthesis or guideline pooled it, 346 citations in OpenAlex.

  1. Pooled it
  2. Article
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  4. Subcellularly Resolved 3D Translatome in Mouse Oocytes and Early Embryos.bioRxiv : the preprint server for biology · 2026
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  10. CeiTEA: Adaptive Hierarchy of Single Cells with Topological Entropy.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
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  11. Biology · 2025
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70 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

3 authors at 1 institution in 1 country.

Fernando H BiaseDepartment of Bioengineering, University of California San Diego, La Jolla, California 92093, USA.
Xiaoyi CaoDepartment of Bioengineering, University of California San Diego, La Jolla, California 92093, USA.
Sheng ZhongDepartment of Bioengineering, University of California San Diego, La Jolla, California 92093, USA szhong@ucsd.edu.
University of California San Diego · US

Funding

Evolutionary models for gene regulatory networksDP2OD007417 · OD · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI ZHONG, SHENG · 2010 to 2010
$2.3M
NIH HHS DP2 OD007417NIH HHS DP2OD007417
6 · The paper itself

Abstract

It remains an open question when and how the first cell fate decision is made in mammals. Using deep single-cell RNA-seq of matched sister blastomeres, we report highly reproducible inter-blastomere differences among 10 2-cell and five 4-cell mouse embryos. Inter-blastomere gene expression differences dominated between-embryo differences and noise, and were sufficient to cluster sister blastomeres into distinct groups. Dozens of protein-coding genes exhibited reproducible bimodal expression in sister blastomeres, which cannot be explained by random fluctuations. The protein expression of one gene out of four of these bimodal genes tested, Gadd45a, exhibited clear inter-blastomeric contrasts. We traced some of the bimodal mRNA expressions to embryonic genome activation, and others to blastomere-specific RNA depletion. Inter-blastomere differences created coexpression gene networks that were much stronger and larger than those that can possibly be created by random noise. The highly correlated gene pairs at the 4-cell stage overlapped with those showing the same directions of differential expression between inner cell mass (ICM) and trophectoderm (TE). These data substantiate the hypothesis of inter-blastomere differences in 2- and 4-cell mouse embryos, and associate these differences with ICM/TE differences.

Indexed as

Gene Expression Regulation, DevelopmentalAnimalsBlastomeresCell Cycle ProteinsCell DifferentiationCell DivisionCell LineageEmbryo, MammalianFemaleGADD45 ProteinsImmunohistochemistryMaleMice, Inbred C57BLMicroscopy, ConfocalModels, GeneticNuclear ProteinsCell Cycle ProteinsGadd45a protein, mouseGADD45 ProteinsNuclear Proteins

Identifiers

PMID25096407
PMCPMC4216920
OpenAlexW2120205807

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.