Evidence map›Paper›PMID 31049560›Full record

ArticleGigaScience2019

Single-cell transcriptomic landscape of nucleated cells in umbilical cord blood.

Yi Zhao, Xiao Li, Weihua Zhao, Jingwan Wang, Jiawei Yu, Ziyun Wan, Kai Gao, Gang Yi, Xie Wang, Bingbing Fan and 13 more

Open access · goldAbstract read
In one paragraph

Article in GigaScience, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
1.8field-weighted citation impact, top 14% 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

22 citing papers in PubMed, 35 citations in OpenAlex.

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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 at 3 institutions in 1 country.

Yi ZhaoSchool of Biology and Biological Engineering, South China University of Technology, Guangzhou 510006, China.
Xiao LiBGI-Shenzhen, Shenzhen 518083, China.
Weihua ZhaoShenzhen Second People's Hospital, First Affiliated Hospital of Shenzhen University, Shenzhen 518035, Guangdong Province, China.
Jingwan WangBGI-Shenzhen, Shenzhen 518083, China.
Jiawei YuBGI-Shenzhen, Shenzhen 518083, China.
Ziyun WanBGI-Shenzhen, Shenzhen 518083, China.
Kai GaoBGI-Shenzhen, Shenzhen 518083, China.
Gang YiShanghai Institute of Immunology, Shanghai JiaoTong University School of Medicine, Shanghai 200025, China.
Xie WangBGI-Shenzhen, Shenzhen 518083, China.
Bingbing FanShenzhen Second People's Hospital, First Affiliated Hospital of Shenzhen University, Shenzhen 518035, Guangdong Province, China.
Qinkai WuBGI-Shenzhen, Shenzhen 518083, China.
Bangwei ChenBGI-Shenzhen, Shenzhen 518083, China.
Feng XieShanghai Institute of Immunology, Shanghai JiaoTong University School of Medicine, Shanghai 200025, China.
Jinghua WuBGI-Shenzhen, Shenzhen 518083, China.
Wei ZhangBGI-Shenzhen, Shenzhen 518083, China.
Fang ChenBGI-Shenzhen, Shenzhen 518083, China.
Huanming YangBGI-Shenzhen, Shenzhen 518083, China.
Jian WangBGI-Shenzhen, Shenzhen 518083, China.
Xun XuBGI-Shenzhen, Shenzhen 518083, China.
Bin LiBGI-Shenzhen, Shenzhen 518083, China.
Shiping LiuBGI-Shenzhen, Shenzhen 518083, China.
Yong HouBGI-Shenzhen, Shenzhen 518083, China.
Xiao LiuBGI-Shenzhen, Shenzhen 518083, China.
BGI Group (China) · CNShanghai Jiao Tong University · CNShenzhen Second People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFor both pediatric and adult patients, umbilical cord blood (UCB) transplant is a therapeutic option for a variety of hematologic diseases, such as blood cancers, myeloproliferative disorders, genetic diseases, and metabolic disorders. However, the level of cellular heterogeneity and diversity of nucleated cells in UCB has not yet been assessed in an unbiased and systemic fashion. In the present study, nucleated cells from UCB were subjected to single-cell RNA sequencing to simultaneously profile the gene expression signatures of thousands of cells, generating a rich resource for further functional studies. Here, we report the transcriptomes of 17,637 UCB cells, covering 12 major cell types, many of which can be further divided into distinct subpopulations.

resultsPseudotemporal ordering of nucleated red blood cells identifies wave-like activation and suppression of transcription regulators, leading to a polarized cellular state, which may reflect nucleated red blood cell maturation. Progenitor cells in UCB also comprise 2 subpopulations with activation of divergent transcription programs, leading to specific cell fate commitment. Detailed profiling of cytotoxic cell populations unveiled granzymes B and K signatures in natural killer and natural killer T-cell types in UCB.

conclusionsTaken together, our data form a comprehensive single-cell transcriptomic landscape that reveals previously unrecognized cell types, pathways, and mechanisms of gene expression regulation. These data may contribute to the efficacy and outcome of UCB transplant, broadening the scope of research and clinical innovations.

Indexed as

Single-Cell AnalysisCell LineageCell ProliferationErythroblastsFetal BloodGene Expression RegulationGranzymesHigh-Throughput Nucleotide SequencingHumansTranscriptomeGranzymesnatural killer T cellnucleated red blood cellsingle-cell RNA sequencingtranscriptomicsumbilical cord blood

Identifiers

PMID31049560
PMCPMC6497034
OpenAlexW2952680120

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.