Evidence map›Paper›PMID 29867213›Full record

ArticleCell research2018

Spatial transcriptomic survey of human embryonic cerebral cortex by single-cell RNA-seq analysis.

Xiaoying Fan, Ji Dong, Suijuan Zhong, Yuan Wei, Qian Wu, Liying Yan, Jun Yong, Le Sun, Xiaoye Wang, Yangyu Zhao and 5 more

Open access · hybridAbstract read
In one paragraph

Article in Cell research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 133 papers.

0numbers the graph read from it
0cells of the map it votes in
133citing papers in PubMed
10.7field-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

133 citing papers in PubMed, 236 citations in OpenAlex.

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73 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

15 authors at 3 institutions in 3 countries.

Xiaoying FanBeijing Advanced Innovation Center for Genomics, Department of Obstetrics and Gynecology, College of Life Sciences, Third Hospital, Peking University, Beijing, 100871, China.
Ji DongBeijing Advanced Innovation Center for Genomics, Department of Obstetrics and Gynecology, College of Life Sciences, Third Hospital, Peking University, Beijing, 100871, China.
Suijuan ZhongState Key Laboratory of Brain and Cognitive Science, CAS Center for Excellence in Brain Science and Intelligence Technology; Institute of Brain-Intelligence Science and Technology Zhangjiang Laboratory (Shanghai), Institute of Biophysics, Chinese Academy of Sciences, Beijing, 100101, China.
Yuan WeiBeijing Advanced Innovation Center for Genomics, Department of Obstetrics and Gynecology, College of Life Sciences, Third Hospital, Peking University, Beijing, 100871, China.
Qian WuState Key Laboratory of Brain and Cognitive Science, CAS Center for Excellence in Brain Science and Intelligence Technology; Institute of Brain-Intelligence Science and Technology Zhangjiang Laboratory (Shanghai), Institute of Biophysics, Chinese Academy of Sciences, Beijing, 100101, China.
Liying YanBeijing Advanced Innovation Center for Genomics, Department of Obstetrics and Gynecology, College of Life Sciences, Third Hospital, Peking University, Beijing, 100871, China.
Jun YongBeijing Advanced Innovation Center for Genomics, Department of Obstetrics and Gynecology, College of Life Sciences, Third Hospital, Peking University, Beijing, 100871, China.
Le SunState Key Laboratory of Brain and Cognitive Science, CAS Center for Excellence in Brain Science and Intelligence Technology; Institute of Brain-Intelligence Science and Technology Zhangjiang Laboratory (Shanghai), Institute of Biophysics, Chinese Academy of Sciences, Beijing, 100101, China.
Xiaoye WangBeijing Advanced Innovation Center for Genomics, Department of Obstetrics and Gynecology, College of Life Sciences, Third Hospital, Peking University, Beijing, 100871, China.
Yangyu ZhaoBeijing Advanced Innovation Center for Genomics, Department of Obstetrics and Gynecology, College of Life Sciences, Third Hospital, Peking University, Beijing, 100871, China.
Wei WangBeijing Advanced Innovation Center for Genomics, Department of Obstetrics and Gynecology, College of Life Sciences, Third Hospital, Peking University, Beijing, 100871, China.
Jie YanBeijing Advanced Innovation Center for Genomics, Department of Obstetrics and Gynecology, College of Life Sciences, Third Hospital, Peking University, Beijing, 100871, China.
Xiaoqun WangState Key Laboratory of Brain and Cognitive Science, CAS Center for Excellence in Brain Science and Intelligence Technology; Institute of Brain-Intelligence Science and Technology Zhangjiang Laboratory (Shanghai), Institute of Biophysics, Chinese Academy of Sciences, Beijing, 100101, China. xiaoqunwang@ibp.ac.cn.
Jie QiaoBeijing Advanced Innovation Center for Genomics, Department of Obstetrics and Gynecology, College of Life Sciences, Third Hospital, Peking University, Beijing, 100871, China. jie.qiao@263.net.ORCID http://orcid.org/0000-0003-2126-1376
Fuchou TangBeijing Advanced Innovation Center for Genomics, Department of Obstetrics and Gynecology, College of Life Sciences, Third Hospital, Peking University, Beijing, 100871, China. tangfuchou@pku.edu.cn.ORCID http://orcid.org/0000-0002-8625-7717
Ministry of Education of the People's Republic of China · CNChinese Academy of Sciences · CNPeking University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The cellular complexity of human brain development has been intensively investigated, although a regional characterization of the entire human cerebral cortex based on single-cell transcriptome analysis has not been reported. Here, we performed RNA-seq on over 4,000 individual cells from 22 brain regions of human mid-gestation embryos. We identified 29 cell sub-clusters, which showed different proportions in each region and the pons showed especially high percentage of astrocytes. Embryonic neurons were not as diverse as adult neurons, although they possessed important features of their destinies in adults. Neuron development was unsynchronized in the cerebral cortex, as dorsal regions appeared to be more mature than ventral regions at this stage. Region-specific genes were comprehensively identified in each neuronal sub-cluster, and a large proportion of these genes were neural disease related. Our results present a systematic landscape of the regionalized gene expression and neuron maturation of the human cerebral cortex.

Indexed as

AstrocytesBase SequenceCerebral CortexEmbryonic DevelopmentFemaleGene Expression ProfilingHumansMaleNervous System DiseasesNeurogenesisNeuronsPregnancyPregnancy Trimester, SecondSequence Analysis, RNASingle-Cell Analysis

Identifiers

PMID29867213
PMCPMC6028726
OpenAlexW2806122497

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.