Evidence map›Paper›PMID 29608178›Full record

ArticleNature biotechnology2018

Simultaneous single-cell profiling of lineages and cell types in the vertebrate brain.

Bushra Raj, Daniel E Wagner, Aaron McKenna, Shristi Pandey, Allon M Klein, Jay Shendure, James A Gagnon, Alexander F Schier

Abstract read
In one paragraph

Article in Nature biotechnology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 363 papers.

0numbers the graph read from it
0cells of the map it votes in
363citing 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

363 citing papers in PubMed.

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  16. Clonal dynamics deviate from neutral drift in zebrafish spermatogenesis.bioRxiv : the preprint server for biology · 2026
    Article
  17. Review
  18. Article
  19. Article
  20. Article

303 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Bushra RajDepartment of Molecular and Cellular Biology, Harvard University, Cambridge, Massachusetts, USA.ORCID 0000-0002-5833-0251
Daniel E WagnerDepartment of Systems Biology, Harvard Medical School, Boston, Massachusetts, USA.
Aaron McKennaAllen Discovery Center for Cell Lineage Tracing, Seattle, Washington, USA.ORCID 0000-0001-8277-6512
Shristi PandeyDepartment of Molecular and Cellular Biology, Harvard University, Cambridge, Massachusetts, USA.
Allon M KleinDepartment of Systems Biology, Harvard Medical School, Boston, Massachusetts, USA.ORCID 0000-0001-8913-7879
Jay ShendureAllen Discovery Center for Cell Lineage Tracing, Seattle, Washington, USA.ORCID 0000-0002-1516-1865
James A GagnonDepartment of Molecular and Cellular Biology, Harvard University, Cambridge, Massachusetts, USA.ORCID 0000-0003-3978-6058
Alexander F SchierDepartment of Molecular and Cellular Biology, Harvard University, Cambridge, Massachusetts, USA.ORCID 0000-0001-7645-5325

Funding

University of Washington Medical Scientist Training Program: MD/PhDT32GM007266 · NIGMS · UNIVERSITY OF WASHINGTON · PI HORWITZ, MARSHALL S. · 1985 to 2023
$30.4M
EXPERIMENTAL PATHOLOGY OF CARDIOVASCULAR DISEASET32HL007312 · NHLBI · UNIVERSITY OF WASHINGTON · PI MAJESKY, MARK W., SCHWARTZ, STEPHEN MARK · 1985 to 2019
$11.8M
Comprehensive Classification Of Neuronal Subtypes By Single Cell TranscriptomicsU01MH105960 · NIMH · HARVARD UNIVERSITY · PI REGEV, AVIV, SANES, JOSHUA R · 2014 to 2016
$4.5M
Interpreting Genetic Variants of Uncertain SignificanceDP1HG007811 · NHGRI · UNIVERSITY OF WASHINGTON · PI SHENDURE, JAY ASHOK · 2013 to 2017
$3.8M
DNA-mediated recording of cellular historyDP1HD094764 · NICHD · HARVARD UNIVERSITY · PI SCHIER, ALEXANDER F · 2017 to 2019
$3.5M
Embryonic gene regulatory networks from spatially resolved transcriptomesR01HD085905 · NICHD · HARVARD UNIVERSITY · PI SCHIER, ALEXANDER F · 2016 to 2019
$2.6M
Mapping vertebrate differentiation hierarchies with high-throughput single cell transcriptomicsK99GM121852 · NIGMS · HARVARD MEDICAL SCHOOL · PI WAGNER, DANIEL E · 2017 to 2018
$176k
NHGRI NIH HHS DP1 HG007811NHLBI NIH HHS T32 HL007312NICHD NIH HHS DP1 HD094764NICHD NIH HHS R01 HD085905NIGMS NIH HHS K99 GM121852NIGMS NIH HHS T32 GM007266NIMH NIH HHS U01 MH105960Wellcome Trust
6 · The paper itself

Abstract

The lineage relationships among the hundreds of cell types generated during development are difficult to reconstruct. A recent method, GESTALT, used CRISPR-Cas9 barcode editing for large-scale lineage tracing, but was restricted to early development and did not identify cell types. Here we present scGESTALT, which combines the lineage recording capabilities of GESTALT with cell-type identification by single-cell RNA sequencing. The method relies on an inducible system that enables barcodes to be edited at multiple time points, capturing lineage information from later stages of development. Sequencing of ∼60,000 transcriptomes from the juvenile zebrafish brain identified >100 cell types and marker genes. Using these data, we generate lineage trees with hundreds of branches that help uncover restrictions at the level of cell types, brain regions, and gene expression cascades during differentiation. scGESTALT can be applied to other multicellular organisms to simultaneously characterize molecular identities and lineage histories of thousands of cells during development and disease.

Indexed as

AnimalsBrainCell LineageCRISPR-Cas SystemsGene EditingHumansMiceSequence Analysis, RNASingle-Cell AnalysisTranscriptomeZebrafish

Identifiers

PMID29608178
PMCPMC5938111

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Registered trials

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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.