Evidence map›Paper›PMID 37660148›Full record

ArticleCommunications biology2023

TimeTalk uses single-cell RNA-seq datasets to decipher cell-cell communication during early embryo development.

Longteng Wang, Yang Zheng, Yu Sun, Shulin Mao, Hao Li, Xiaochen Bo, Cheng Li, Hebing Chen

Abstract read
In one paragraph

Article in Communications biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–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

6 citing papers in PubMed.

  1. Review
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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

8 authors.

Longteng WangPeking University-Tsinghua University-National Institute of Biological Sciences Joint Graduate Program, School of Life Sciences, Peking University, Beijing, 100871, China.ORCID http://orcid.org/0000-0002-0904-8081
Yang ZhengInstitute of Health Service and Transfusion Medicine, Beijing, 100850, China.
Yu SunInstitute of Health Service and Transfusion Medicine, Beijing, 100850, China.
Shulin MaoCenter for Bioinformatics, School of Life Sciences, Center for Statistical Science, Peking-Tsinghua Center for Life Sciences, Peking University, Beijing, 100871, China.
Hao LiInstitute of Health Service and Transfusion Medicine, Beijing, 100850, China.ORCID http://orcid.org/0000-0002-9464-1372
Xiaochen BoCenter for Bioinformatics, School of Life Sciences, Center for Statistical Science, Peking-Tsinghua Center for Life Sciences, Peking University, Beijing, 100871, China.ORCID http://orcid.org/0000-0003-1911-7922
Cheng LiCenter for Bioinformatics, School of Life Sciences, Center for Statistical Science, Peking-Tsinghua Center for Life Sciences, Peking University, Beijing, 100871, China. cheng_li@pku.edu.cn.ORCID http://orcid.org/0000-0002-1766-1409
Hebing ChenInstitute of Health Service and Transfusion Medicine, Beijing, 100850, China. chenhb@bmi.ac.cn.ORCID http://orcid.org/0000-0003-4102-356X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Early embryonic development is a dynamic process that relies on proper cell-cell communication to form a correctly patterned embryo. Early embryo development-related ligand-receptor pairs (eLRs) have been shown to guide cell fate decisions and morphogenesis. However, the scope of eLRs and their influence on early embryo development remain elusive. Here, we developed a computational framework named TimeTalk from integrated public time-course mouse scRNA-seq datasets to decipher the secret of eLRs. Extensive validations and analyses were performed to ensure the involvement of identified eLRs in early embryo development. Process analysis identified that eLRs could be divided into six temporal windows corresponding to sequential events in the early embryo development process. With the interpolation strategy, TimeTalk is powerful in revealing paracrine settings and studying cell-cell communication during early embryo development. Furthermore, by using TimeTalk in the blastocyst and blastoid models, we found that the blastoid models share the core communication pathways with the epiblast and primitive endoderm lineages in the blastocysts. This result suggests that TimeTalk has transferability to other bio-dynamic processes. We also curated eLRs recognized by TimeTalk, which may provide valuable clues for understanding early embryo development and relevant disorders.

Indexed as

Cell CommunicationSingle-Cell Gene Expression AnalysisAnimalsBlastocystEmbryonic DevelopmentFemaleMiceMorphogenesisPregnancy

Identifiers

PMID37660148
PMCPMC10475079

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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.