Evidence map›Paper›PMID 29545511›Full record

ArticleScience (New York, N.Y.)2018

Single-cell profiling of the developing mouse brain and spinal cord with split-pool barcoding.

Alexander B Rosenberg, Charles M Roco, Richard A Muscat, Anna Kuchina, Paul Sample, Zizhen Yao, Lucas T Graybuck, David J Peeler, Sumit Mukherjee, Wei Chen and 4 more

Abstract read
In one paragraph

Article in Science (New York, N.Y.), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 821 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
821citing papers in PubMed, 1 pooled it
–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

821 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Single-cell RNA sequencing offers novel perspectives in viral infection research.Frontiers in cellular and infection microbiology · 2026
    Pooled it
  2. Article
  3. Glial cells in neuropathic pain.Physiological reviews · 2026
    Review
  4. Review
  5. Article
  6. bioRxiv : the preprint server for biology · 2026
    Article
  7. Article
  8. A who's who of cell types in skeletal muscle.Communications biology · 2026
    Review
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Single-cell insights into plant growth, adaptation, and evolution.Journal of integrative plant biology · 2026
    Review
  19. Review
  20. Review

761 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

14 authors.

Alexander B RosenbergDepartment of Electrical Engineering, University of Washington, Seattle, WA, USA. alex.b.rosenberg@gmail.com gseelig@uw.edu.ORCID 0000-0003-2276-2412
Charles M RocoDepartment of Bioengineering, University of Washington, Seattle, WA, USA.ORCID 0000-0002-6493-000X
Richard A MuscatDepartment of Electrical Engineering, University of Washington, Seattle, WA, USA.ORCID 0000-0003-1509-5674
Anna KuchinaDepartment of Electrical Engineering, University of Washington, Seattle, WA, USA.ORCID 0000-0002-7267-101X
Paul SampleDepartment of Electrical Engineering, University of Washington, Seattle, WA, USA.ORCID 0000-0001-6092-4449
Zizhen YaoAllen Institute for Brain Science, Seattle, WA, USA.ORCID 0000-0002-9361-5607
Lucas T GraybuckAllen Institute for Brain Science, Seattle, WA, USA.ORCID 0000-0002-8814-6818
David J PeelerDepartment of Bioengineering, University of Washington, Seattle, WA, USA.ORCID 0000-0003-2441-6409
Sumit MukherjeeDepartment of Electrical Engineering, University of Washington, Seattle, WA, USA.ORCID 0000-0001-6532-3343
Wei ChenMolecular Engineering and Sciences Institute, University of Washington, Seattle, WA, USA.ORCID 0000-0002-5255-4166
Suzie H PunDepartment of Bioengineering, University of Washington, Seattle, WA, USA.ORCID 0000-0003-1443-4996
Drew L SellersDepartment of Bioengineering, University of Washington, Seattle, WA, USA.ORCID 0000-0003-1799-5908
Bosiljka TasicAllen Institute for Brain Science, Seattle, WA, USA.ORCID 0000-0002-6861-4506
Georg SeeligDepartment of Electrical Engineering, University of Washington, Seattle, WA, USA. alex.b.rosenberg@gmail.com gseelig@uw.edu.ORCID 0000-0002-3163-8782

Funding

NRSA Training CoreTL1TR002318 · NCATS · UNIVERSITY OF WASHINGTON · PI Megan Moore · 2017 to 2026
$8.4M
Ultrasound-aided gene transfer to direct cortical neurogenesis after brain injuryR01NS064404 · NINDS · UNIVERSITY OF WASHINGTON · PI HORNER, PHILIP J, PUN, SUZIE H. · 2009 to 2018
$3.5M
RNA circuits for cell state determination in mammalian cells in vitro and in vivoR01CA207029 · NCI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI WEISS, RON · 2016 to 2020
$3.0M
Astrocyte-specific ligand discovery by phage displayR21NS086500 · NINDS · UNIVERSITY OF WASHINGTON · PI HORNER, PHILIP J, PUN, SUZIE H. · 2015 to 2016
$479k
NCATS NIH HHS TL1 TR002318NCI NIH HHS R01 CA207029NINDS NIH HHS R01 NS064404NINDS NIH HHS R21 NS086500
6 · The paper itself

Abstract

To facilitate scalable profiling of single cells, we developed split-pool ligation-based transcriptome sequencing (SPLiT-seq), a single-cell RNA-seq (scRNA-seq) method that labels the cellular origin of RNA through combinatorial barcoding. SPLiT-seq is compatible with fixed cells or nuclei, allows efficient sample multiplexing, and requires no customized equipment. We used SPLiT-seq to analyze 156,049 single-nucleus transcriptomes from postnatal day 2 and 11 mouse brains and spinal cords. More than 100 cell types were identified, with gene expression patterns corresponding to cellular function, regional specificity, and stage of differentiation. Pseudotime analysis revealed transcriptional programs driving four developmental lineages, providing a snapshot of early postnatal development in the murine central nervous system. SPLiT-seq provides a path toward comprehensive single-cell transcriptomic analysis of other similarly complex multicellular systems.

Indexed as

Gene Expression Regulation, DevelopmentalTranscriptomeAnimalsBrainCell NucleusGene Expression ProfilingHEK293 CellsHumansMiceNeuronsNIH 3T3 CellsSequence Analysis, RNASingle-Cell AnalysisSpinal Cord

Identifiers

PMID29545511
PMCPMC7643870

What OpenQuestion holds

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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.