Evidence map›Paper›PMID 26890679›Full record

ArticleNature protocols2016

Using single nuclei for RNA-seq to capture the transcriptome of postmortem neurons.

Suguna Rani Krishnaswami, Rashel V Grindberg, Mark Novotny, Pratap Venepally, Benjamin Lacar, Kunal Bhutani, Sara B Linker, Son Pham, Jennifer A Erwin, Jeremy A Miller and 13 more

Abstract read
In one paragraph

Article in Nature protocols, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 275 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
275citing 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

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

  1. Pooled it
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  19. The Gut Microbiota Regulates Motor Deficits via Butyrate in a GnalAdvanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  20. Article

215 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

23 authors.

Suguna Rani KrishnaswamiJ. Craig Venter Institute, La Jolla, California, USA.
Rashel V GrindbergInstitute of Microbiology, ETH Zurich, Zurich, Switzerland.
Mark NovotnyJ. Craig Venter Institute, La Jolla, California, USA.
Pratap VenepallyJ. Craig Venter Institute, Rockville, Maryland, USA.
Benjamin LacarSalk Institute for Biological Studies, La Jolla, California, USA.
Kunal BhutaniJ. Craig Venter Institute, La Jolla, California, USA.
Sara B LinkerSalk Institute for Biological Studies, La Jolla, California, USA.
Son PhamSalk Institute for Biological Studies, La Jolla, California, USA.
Jennifer A ErwinSalk Institute for Biological Studies, La Jolla, California, USA.
Jeremy A MillerAllen Institute for Brain Science, Seattle, Washington, USA.
Rebecca HodgeAllen Institute for Brain Science, Seattle, Washington, USA.
James K McCarthyJ. Craig Venter Institute, La Jolla, California, USA.
Martin KelderSalk Institute for Biological Studies, La Jolla, California, USA.
Jamison McCorrisonJ. Craig Venter Institute, La Jolla, California, USA.
Brian D AevermannJ. Craig Venter Institute, La Jolla, California, USA.
Francisco Diez FuertesJ. Craig Venter Institute, La Jolla, California, USA.
Richard H ScheuermannJ. Craig Venter Institute, La Jolla, California, USA.
Jun LeeLeGene Biosciences, San Diego, California, USA.
Ed S LeinAllen Institute for Brain Science, Seattle, Washington, USA.
Nicholas SchorkJ. Craig Venter Institute, La Jolla, California, USA.
Michael J McConnellDepartment of Biochemistry and Molecular Genetics, University of Virginia School of Medicine, Charlottesville, Virginia, USA.
Fred H GageSalk Institute for Biological Studies, La Jolla, California, USA.
Roger S LaskenJ. Craig Venter Institute, La Jolla, California, USA.

Funding

Viral Vector Core (VVC)P30CA014195 · NCI · SALK INSTITUTE FOR BIOLOGICAL STUDIES · PI Ye Zheng · 1985 to 2026
$82.8M
Single-Cell Approaches to Reveal How Jumping Genes Individualize Neural CircuitsR01MH095741 · NIMH · SALK INSTITUTE FOR BIOLOGICAL STUDIES · PI GAGE, FRED H · 2011 to 2015
$6.5M
WHOLE GENOME AMPLIFICATION FOR RAPID LOW COST GENOTYPINGR01HG003647 · NHGRI · J. CRAIG VENTER INSTITUTE, INC. · PI LASKEN, ROGER SENDER · 2005 to 2013
$3.6M
Transcriptomics from Single Circulating Tumor CellsRC1HG005471 · NHGRI · J. CRAIG VENTER INSTITUTE, INC. · PI LASKEN, ROGER SENDER · 2009 to 2010
$998k
NCI NIH HHS P30 CA014195NHGRI NIH HHS 1RC1 HG005471NHGRI NIH HHS 2R01 HG003647NHGRI NIH HHS R01 HG003647NHGRI NIH HHS RC1 HG005471NIMH NIH HHS R01 MH095741NIMH NIH HHS R01MH095741
6 · The paper itself

Abstract

A protocol is described for sequencing the transcriptome of a cell nucleus. Nuclei are isolated from specimens and sorted by FACS, cDNA libraries are constructed and RNA-seq is performed, followed by data analysis. Some steps follow published methods (Smart-seq2 for cDNA synthesis and Nextera XT barcoded library preparation) and are not described in detail here. Previous single-cell approaches for RNA-seq from tissues include cell dissociation using protease treatment at 30 °C, which is known to alter the transcriptome. We isolate nuclei at 4 °C from tissue homogenates, which cause minimal damage. Nuclear transcriptomes can be obtained from postmortem human brain tissue stored at -80 °C, making brain archives accessible for RNA-seq from individual neurons. The method also allows investigation of biological features unique to nuclei, such as enrichment of certain transcripts and precursors of some noncoding RNAs. By following this procedure, it takes about 4 d to construct cDNA libraries that are ready for sequencing.

Indexed as

TranscriptomeAutopsyBrainCell FractionationCell NucleolusDNA, ComplementaryGene Expression ProfilingGene LibraryHumansNeuronsRNASequence Analysis, RNASingle-Cell AnalysisTissue PreservationDNA, ComplementaryRNA

Identifiers

PMID26890679
PMCPMC4941947

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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.