Evidence map›Paper›PMID 23934149›Full record

ArticleNature structural & molecular biology2013

Single-cell RNA-Seq profiling of human preimplantation embryos and embryonic stem cells.

Liying Yan, Mingyu Yang, Hongshan Guo, Lu Yang, Jun Wu, Rong Li, Ping Liu, Ying Lian, Xiaoying Zheng, Jie Yan and 8 more

Abstract read
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In one paragraph

Article in Nature structural & molecular biology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 929 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
929citing papers in PubMed, 1 pooled it
36.0field-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

929 citing papers in PubMed, 1 synthesis or guideline pooled it, 1,806 citations in OpenAlex.

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869 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

18 authors at 3 institutions in 2 countries.

Liying Yan1] Biodynamic Optical Imaging Center and Center for Reproductive Medicine, College of Life Sciences, Third Hospital, Peking University, Beijing, China. [2] Key Laboratory of Assisted Reproduction, Ministry of Education, Beijing, China. [3].
Mingyu Yang
Hongshan Guo
Lu Yang
Jun Wu
Rong Li
Ping Liu
Ying Lian
Xiaoying Zheng
Jie Yan
Jin Huang
Ming Li
Xinglong Wu
Lu Wen
Kaiqin Lao
Ruiqiang Li
Jie Qiao
Fuchou Tang
Peking University · CNPeking University Third Hospital · CNLife Systems (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Measuring gene expression in individual cells is crucial for understanding the gene regulatory network controlling human embryonic development. Here we apply single-cell RNA sequencing (RNA-Seq) analysis to 124 individual cells from human preimplantation embryos and human embryonic stem cells (hESCs) at different passages. The number of maternally expressed genes detected in our data set is 22,687, including 8,701 long noncoding RNAs (lncRNAs), which represents a significant increase from 9,735 maternal genes detected previously by cDNA microarray. We discovered 2,733 novel lncRNAs, many of which are expressed in specific developmental stages. To address the long-standing question whether gene expression signatures of human epiblast (EPI) and in vitro hESCs are the same, we found that EPI cells and primary hESC outgrowth have dramatically different transcriptomes, with 1,498 genes showing differential expression between them. This work provides a comprehensive framework of the transcriptome landscapes of human early embryos and hESCs.

Indexed as

Alternative SplicingBlastocystBlastomeresEmbryo Culture TechniquesEmbryonic Stem CellsFemaleGene Expression ProfilingGerm LayersHumansOocytesPluripotent Stem CellsRNA, Long NoncodingSequence Analysis, RNASingle-Cell AnalysisTranscriptomeRNA, Long Noncoding

Identifiers

PMID23934149
OpenAlexW2007439698

What OpenQuestion holds

Textmetadata
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.