Evidence map›Paper›PMID 30239706›Full record

ArticleGigaScience2018

Single-cell RNA-seq reveals dynamic transcriptome profiling in human early neural differentiation.

Zhouchun Shang, Dongsheng Chen, Quanlei Wang, Shengpeng Wang, Qiuting Deng, Liang Wu, Chuanyu Liu, Xiangning Ding, Shiyou Wang, Jixing Zhong and 10 more

Abstract read
In one paragraph

Article in GigaScience, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

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  16. A single-cell Raman-based platform to identify developmental stages of human pluripotent stem cell-derived neurons.Proceedings of the National Academy of Sciences of the United States of America · 2020
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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

20 authors.

Zhouchun ShangShanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai 200072, China.
Dongsheng ChenBGI-Shenzhen, Shenzhen 518083, China.
Quanlei WangBGI-Shenzhen, Shenzhen 518083, China.
Shengpeng WangBGI-Shenzhen, Shenzhen 518083, China.
Qiuting DengBGI-Shenzhen, Shenzhen 518083, China.
Liang WuBGI-Shenzhen, Shenzhen 518083, China.
Chuanyu LiuBGI-Shenzhen, Shenzhen 518083, China.
Xiangning DingBGI-Shenzhen, Shenzhen 518083, China.
Shiyou WangBGI-Shenzhen, Shenzhen 518083, China.
Jixing ZhongBGI-Shenzhen, Shenzhen 518083, China.
Doudou ZhangDepartment of Neurosurgery, Shenzhen Second People's Hospital, Shenzhen University 1st Affiliated Hospital, Shenzhen 518035, China.
Xiaodong CaiDepartment of Neurosurgery, Shenzhen Second People's Hospital, Shenzhen University 1st Affiliated Hospital, Shenzhen 518035, China.
Shida ZhuBGI-Shenzhen, Shenzhen 518083, China.
Huanming YangBGI-Shenzhen, Shenzhen 518083, China.
Longqi LiuBGI-Shenzhen, Shenzhen 518083, China.
J Lynn FinkBGI-Shenzhen, Shenzhen 518083, China.
Fang ChenBGI-Shenzhen, Shenzhen 518083, China.
Xiaoqing LiuShanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai 200072, China.
Zhengliang GaoShanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai 200072, China.
Xun XuBGI-Shenzhen, Shenzhen 518083, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Investigating cell fate decision and subpopulation specification in the context of the neural lineage is fundamental to understanding neurogenesis and neurodegenerative diseases. The differentiation process of neural-tube-like rosettes in vitro is representative of neural tube structures, which are composed of radially organized, columnar epithelial cells and give rise to functional neural cells. However, the underlying regulatory network of cell fate commitment during early neural differentiation remains elusive. Results: In this study, we investigated the genome-wide transcriptome profile of single cells from six consecutive reprogramming and neural differentiation time points and identified cellular subpopulations present at each differentiation stage. Based on the inferred reconstructed trajectory and the characteristics of subpopulations contributing the most toward commitment to the central nervous system lineage at each stage during differentiation, we identified putative novel transcription factors in regulating neural differentiation. In addition, we dissected the dynamics of chromatin accessibility at the neural differentiation stages and revealed active cis-regulatory elements for transcription factors known to have a key role in neural differentiation as well as for those that we suggest are also involved. Further, communication network analysis demonstrated that cellular interactions most frequently occurred in the embryoid body stage and that each cell subpopulation possessed a distinctive spectrum of ligands and receptors associated with neural differentiation that could reflect the identity of each subpopulation. Conclusions: Our study provides a comprehensive and integrative study of the transcriptomics and epigenetics of human early neural differentiation, which paves the way for a deeper understanding of the regulatory mechanisms driving the differentiation of the neural lineage.

Indexed as

Cell DifferentiationGene Expression ProfilingHigh-Throughput Nucleotide SequencingSingle-Cell AnalysisTranscriptomeBiomarkersCell CommunicationCell LineCellular ReprogrammingComputational BiologyGene Regulatory NetworksHumansInduced Pluripotent Stem CellsNeural Stem CellsNeuronsBiomarkers

Identifiers

PMID30239706
PMCPMC6420650

What Socratic 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 Socratic graph.