Evidence map›Paper›PMID 28099854›Full record

ArticleCell reports2017

Single-Cell Transcriptomic Analysis Defines Heterogeneity and Transcriptional Dynamics in the Adult Neural Stem Cell Lineage.

Ben W Dulken, Dena S Leeman, Stéphane C Boutet, Katja Hebestreit, Anne Brunet

Open access · goldAbstract read
In one paragraph

Article in Cell reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 194 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
194citing papers in PubMed, 1 pooled it
15.9field-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

194 citing papers in PubMed, 1 synthesis or guideline pooled it, 344 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Isolation of postnatal human neural stem cells.bioRxiv : the preprint server for biology · 2026
    Article
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  18. Article
  19. Neural stem cell heterogeneity in adult hippocampus.Cell regeneration (London, England) · 2025
    Review
  20. Article

134 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

5 authors at 1 institution in 1 country.

Ben W DulkenDepartment of Genetics, Stanford University, Stanford, CA 94305, USA; Stanford Medical Scientist Training Program, Stanford University, Stanford, CA 94305, USA; Institute for Stem Cell Biology and Regenerative Medicine, Stanford University, Stanford, CA 94305, USA.
Dena S LeemanDepartment of Genetics, Stanford University, Stanford, CA 94305, USA; Cancer Biology Program, Stanford University, Stanford, CA 94305, USA.
Stéphane C BoutetFluidigm Corporation, South San Francisco, CA 94080, USA.
Katja HebestreitDepartment of Genetics, Stanford University, Stanford, CA 94305, USA.
Anne BrunetDepartment of Genetics, Stanford University, Stanford, CA 94305, USA; Glenn Laboratories for the Biology of Aging at Stanford University, Stanford University, Stanford, CA 94305, USA. Electronic address: abrunet1@stanford.edu.
Stanford University · US

Funding

MEDICAL SCIENTIST TRAINING PROGRAMT32GM007365 · NIGMS · STANFORD UNIVERSITY · PI CHUA, KATRIN F · 1985 to 2021
$33.8M
Wnt signaling in muscle stem cell agingP01AG036695 · NIA · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI THOMAS A. RANDO · 2011 to 2026
$29.3M
Leveraging innovative technologies in basic and clinical cancer researchT32CA009302 · NCI · STANFORD UNIVERSITY · PI LAURA D ATTARDI, Aaron M Newman · 1985 to 2026
$19.1M
Stanford Training Program in Aging ResearchT32AG047126 · NIA · STANFORD UNIVERSITY · PI VYJEYANTHI S PERIYAKOIL, TONY WYSS-CORAY · 2014 to 2026
$4.3M
Transgenerational epigenetic inheritance of longevityDP1AG044848 · NIA · STANFORD UNIVERSITY · PI BRUNET, ANNE · 2012 to 2016
$3.9M
Proteostasis in the aging brainR01AG056290 · NIA · STANFORD UNIVERSITY · PI BRUNET, ANNE, FRYDMAN, JUDITH · 2017 to 2021
$3.2M
Molecular mechanisms underlying lifespan extension by dietary restrictionR01AG031198 · NIA · STANFORD UNIVERSITY · PI BRUNET, ANNE · 2009 to 2013
$2.0M
NCI NIH HHS T32 CA009302NIA NIH HHS DP1 AG044848NIA NIH HHS P01 AG036695NIA NIH HHS R01 AG031198NIA NIH HHS R01 AG056290NIA NIH HHS T32 AG047126NIGMS NIH HHS T32 GM007365
6 · The paper itself

Abstract

Neural stem cells (NSCs) in the adult mammalian brain serve as a reservoir for the generation of new neurons, oligodendrocytes, and astrocytes. Here, we use single-cell RNA sequencing to characterize adult NSC populations and examine the molecular identities and heterogeneity of in vivo NSC populations. We find that cells in the NSC lineage exist on a continuum through the processes of activation and differentiation. Interestingly, rare intermediate states with distinct molecular profiles can be identified and experimentally validated, and our analysis identifies putative surface markers and key intracellular regulators for these subpopulations of NSCs. Finally, using the power of single-cell profiling, we conduct a meta-analysis to compare in vivo NSCs and in vitro cultures, distinct fluorescence-activated cell sorting strategies, and different neurogenic niches. These data provide a resource for the field and contribute to an integrative understanding of the adult NSC lineage.

Indexed as

TranscriptomeAlgorithmsAnimalsAstrocytesCell DifferentiationCell LineageConnexin 43Homeodomain ProteinsKi-67 AntigenMiceNeural Stem CellsNeurogenesisPrincipal Component AnalysisRNASequence Analysis, RNASingle-Cell AnalysisAtp1a2 protein, mouseConnexin 43Distal-less homeobox proteinsGJA1 protein, mouseHomeodomain ProteinsKi-67 AntigenRNASodium-Potassium-Exchanging ATPaseTranscription Factorsadult neurogenesismachine learningneural stem cellspseudotemporal orderingsingle-cell RNA-seq

Identifiers

PMID28099854
PMCPMC5269583
OpenAlexW2578839378

What OpenQuestion holds

Textmetadata
LicenceTDM
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.