Evidence map›Paper›PMID 38839885›Full record

ArticleNature genetics2024

A single-cell transcriptome atlas of human euploid and aneuploid blastocysts.

Shengpeng Wang, Lizhi Leng, Quanlei Wang, Yifan Gu, Jinlu Li, Yanru An, Qiuting Deng, Pingyuan Xie, Can Cheng, Xueqin Chen and 13 more

Abstract read
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In one paragraph

Article in Nature genetics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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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

23 authors.

Shengpeng Wang *BGI Research, Hangzhou, China.
Lizhi Leng *Institute of Reproductive and Stem Cell Engineering, School of Basic Medical Science, Central South University, Changsha, China.
Quanlei Wang *BGI Research, Shenzhen, China.
Yifan Gu *Institute of Reproductive and Stem Cell Engineering, School of Basic Medical Science, Central South University, Changsha, China.ORCID http://orcid.org/0000-0001-7669-5046
Jinlu LiBGI Research, Shenzhen, China.
Yanru AnBGI Research, Shenzhen, China.
Qiuting DengBGI Research, Hangzhou, China.
Pingyuan XieHunan Normal University School of Medicine, Changsha, China.
Can ChengInstitute of Reproductive and Stem Cell Engineering, School of Basic Medical Science, Central South University, Changsha, China.
Xueqin ChenInstitute of Reproductive and Stem Cell Engineering, School of Basic Medical Science, Central South University, Changsha, China.
Qinwei ZhouReproductive & Genetic Hospital of CITIC-Xiangya, Changsha, China.
Jia LuInstitute of Reproductive and Stem Cell Engineering, School of Basic Medical Science, Central South University, Changsha, China.
Fang ChenBGI Research, Shenzhen, China.
Longqi LiuBGI Research, Hangzhou, China.ORCID http://orcid.org/0000-0002-5828-5542
Huanming YangBGI Research, Shenzhen, China.ORCID http://orcid.org/0000-0002-0858-3410
Jian WangBGI Research, Shenzhen, China.
Xun XuBGI Research, Hangzhou, China.ORCID http://orcid.org/0000-0002-5338-5173
Yong HouBGI Research, Shenzhen, China.
Fei GongInstitute of Reproductive and Stem Cell Engineering, School of Basic Medical Science, Central South University, Changsha, China.
Liang HuInstitute of Reproductive and Stem Cell Engineering, School of Basic Medical Science, Central South University, Changsha, China.
Guangxiu LuInstitute of Reproductive and Stem Cell Engineering, School of Basic Medical Science, Central South University, Changsha, China.
Zhouchun ShangBGI Research, Shenzhen, China. shangzhouchun@genomics.cn.ORCID http://orcid.org/0000-0002-1740-7961
Ge LinInstitute of Reproductive and Stem Cell Engineering, School of Basic Medical Science, Central South University, Changsha, China. linggf@hotmail.com.ORCID http://orcid.org/0000-0002-3877-2546

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aneuploidy is frequently detected in early human embryos as a major cause of early pregnancy failure. However, how aneuploidy affects cellular function remains elusive. Here, we profiled the transcriptomes of 14,908 single cells from 203 human euploid and aneuploid blastocysts involving autosomal and sex chromosomes. Nearly all of the blastocysts contained four lineages. In aneuploid chromosomes, 19.5% ± 1.2% of the expressed genes showed a dosage effect, and 90 dosage-sensitive domains were identified. Aneuploidy leads to prevalent genome-wide transcriptome alterations. Common effects, including apoptosis, were identified, especially in monosomies, partially explaining the lower cell numbers in autosomal monosomies. We further identified lineage-specific effects causing unstable epiblast development in aneuploidies, which was accompanied by the downregulation of TGF-β and FGF signaling, which resulted in insufficient trophectoderm maturation. Our work provides crucial insights into the molecular basis of human aneuploid blastocysts and may shed light on the cellular interaction during blastocyst development.

Indexed as

AneuploidyBlastocystSingle-Cell AnalysisTranscriptomeApoptosisCell LineageEmbryonic DevelopmentFemaleGene Expression ProfilingGene Expression Regulation, DevelopmentalHumansPregnancySignal TransductionTransforming Growth Factor betaTransforming Growth Factor beta

Identifiers

What Socratic 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 Socratic graph.