Evidence map›Paper›PMID 28597408›Full record

ReviewClinical and translational medicine2017

Single-cell RNA-sequencing of the brain.

Raquel Cuevas-Diaz Duran, Haichao Wei, Jia Qian Wu

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Clinical and translational medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing 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

38 citing papers in PubMed.

  1. Trial
  2. Review
  3. Review
  4. Review
  5. Article
  6. Article
  7. Review
  8. Article
  9. Review
  10. Review
  11. Review
  12. Sample-multiplexing approaches for single-cell sequencing.Cellular and molecular life sciences : CMLS · 2022
    Review
  13. Article
  14. Article
  15. Review
  16. Review
  17. Review
  18. Cochlear Development; New Tools and Approaches.Frontiers in cell and developmental biology · 2022
    Review
  19. Review
  20. Article
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

3 authors.

Raquel Cuevas-Diaz DuranThe Vivian L. Smith Department of Neurosurgery, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX, 77030, USA.
Haichao WeiThe Vivian L. Smith Department of Neurosurgery, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX, 77030, USA.
Jia Qian WuThe Vivian L. Smith Department of Neurosurgery, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX, 77030, USA. Jiaqian.Wu@uth.tmc.edu.

Funding

Center for Clinical and Translational Sciences (CCTS)UL1TR000371 · NCATS · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI MCPHERSON, DAVID D · 2012 to 2016
$13.4M
Mechanisms of cAMP signaling that drive spontaneous activity in nociceptorsR01NS091759 · NINDS · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI Carmen W. Dessauer, EDGAR T. WALTERS · 2015 to 2026
$4.9M
Identifying Novel Molecular Targets for Chronic SCIR01NS088353 · NINDS · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI JIaqian Wu-Huber · 2015 to 2026
$4.0M
NCATS NIH HHS UL1 TR000371NINDS NIH HHS R01 NS088353NINDS NIH HHS R01 NS091759
6 · The paper itself

Abstract

Single-cell RNA-sequencing (scRNA-seq) is revolutionizing our understanding of the genomic, transcriptomic and epigenomic landscapes of cells within organs. The mammalian brain is composed of a complex network of millions to billions of diverse cells with either highly specialized functions or support functions. With scRNA-seq it is possible to comprehensively dissect the cellular heterogeneity of brain cells, and elucidate their specific functions and state. In this review, we describe the current experimental methods used for scRNA-seq. We also review bioinformatic tools and algorithms for data analyses and discuss critical challenges. Additionally, we summarized recent mouse brain scRNA-seq studies and systematically compared their main experimental approaches, computational tools implemented, and important findings. scRNA-seq has allowed researchers to identify diverse cell subpopulations within many brain regions, pinpointing gene signatures and novel cell markers, as well as addressing functional differences. Due to the complexity of the brain, a great deal of work remains to be accomplished. Defining specific brain cell types and functions is critical for understanding brain function as a whole in development, health, and diseases.

Indexed as

Bioinformatic analysesBrainHeterogeneitySingle-cell RNA-sequencing

Identifiers

PMID28597408
PMCPMC5465230

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.