Evidence map›Paper›PMID 29576475›Full record

ArticleCurrent biology : CB2018

Comprehensive Identification and Spatial Mapping of Habenular Neuronal Types Using Single-Cell RNA-Seq.

Shristi Pandey, Karthik Shekhar, Aviv Regev, Alexander F Schier

Open access · bronzeAbstract read
In one paragraph

Article in Current biology : CB, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 100 papers.

0numbers the graph read from it
0cells of the map it votes in
100citing papers in PubMed
10.3field-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

100 citing papers in PubMed, 172 citations in OpenAlex.

  1. Article
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  5. Modern Mining: The Role of Single-cell RNA Sequencing in Advancing Neuroscience Research.BioEssays : news and reviews in molecular, cellular and developmental biology · 2026
    Review
  6. Disruption ofiScience · 2026
    Article
  7. Article
  8. Transcriptomic Analysis of the Human Habenula in Schizophrenia.The American journal of psychiatry · 2025
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Surrogate GPR139 Agonists Reverse Short-Term Startle Habituation Impairment in Larval Zebrafish.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2025
    Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Barcoding Notch signaling in the developing brain.Development (Cambridge, England) · 2024
    Article
  20. Article

40 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

4 authors at 3 institutions in 2 countries.

Shristi PandeyDepartment of Molecular and Cellular Biology, Harvard University, Cambridge, MA 02138, USA. Electronic address: p.shristi@gmail.com.
Karthik ShekharKlarman Cell Observatory, Broad Institute of MIT and Harvard, 7 Cambridge Center, Cambridge, MA 02142, USA.
Aviv RegevKlarman Cell Observatory, Broad Institute of MIT and Harvard, 7 Cambridge Center, Cambridge, MA 02142, USA; Howard Hughes Medical Institute and Koch Institute of Integrative Cancer Research Department of Biology, Massachusetts Institute of Technology, Cambridge, MA 02140, USA.
Alexander F SchierDepartment of Molecular and Cellular Biology, Harvard University, Cambridge, MA 02138, USA; Klarman Cell Observatory, Broad Institute of MIT and Harvard, 7 Cambridge Center, Cambridge, MA 02142, USA; Center for Brain Science, Harvard University, 52 Oxford Street, Cambridge, MA 02138, USA; Biozentrum, University of Basel, Basel, Switzerland; Allen Discovery Center for Cell Lineage Tracing, University of Washington, Seattle, WA 98195, USA. Electronic address: schier@fas.harvard.edu.
Harvard University · USBroad Institute · USMassachusetts Institute of Technology · US

Funding

Comprehensive Classification Of Neuronal Subtypes By Single Cell TranscriptomicsU01MH105960 · NIMH · HARVARD UNIVERSITY · PI REGEV, AVIV, SANES, JOSHUA R · 2014 to 2016
$4.5M
DNA-mediated recording of cellular historyDP1HD094764 · NICHD · HARVARD UNIVERSITY · PI SCHIER, ALEXANDER F · 2017 to 2019
$3.5M
Uncovering the molecular identity of retinal cell types, and their responses to nerve injury using single-cell transcriptomicsK99EY028625 · NEI · BROAD INSTITUTE, INC. · PI SHEKHAR, KARTHIK · 2018 to 2019
$215k
Howard Hughes Medical InstituteNEI NIH HHS K99 EY028625NICHD NIH HHS DP1 HD094764NIMH NIH HHS U01 MH105960
6 · The paper itself

Abstract

The identification of cell types and marker genes is critical for dissecting neural development and function, but the size and complexity of the brain has hindered the comprehensive discovery of cell types. We combined single-cell RNA-seq (scRNA-seq) with anatomical brain registration to create a comprehensive map of the zebrafish habenula, a conserved forebrain hub involved in pain processing and learning. Single-cell transcriptomes of ∼13,000 habenular cells with 4× cellular coverage identified 18 neuronal types and dozens of marker genes. Registration of marker genes onto a reference atlas created a resource for anatomical and functional studies and enabled the mapping of active neurons onto neuronal types following aversive stimuli. Strikingly, despite brain growth and functional maturation, cell types were retained between the larval and adult habenula. This study provides a gene expression atlas to dissect habenular development and function and offers a general framework for the comprehensive characterization of other brain regions.

Indexed as

Gene Expression Regulation, DevelopmentalAnimalsHabenulaHigh-Throughput Nucleotide SequencingLarvaNeurogenesisNeuronsSingle-Cell AnalysisZebrafishZebrafish ProteinsZebrafish Proteinsadulthabenulain situ atlaslarvaneuronal typessingle-cell RNA-seqtranscriptomeszebrafish

Identifiers

PMID29576475
PMCPMC6042852
OpenAlexW2792626041

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.