Evidence map›Paper›PMID 30320766›Full record

ArticleNature biotechnology2018

Single-cell isoform RNA sequencing characterizes isoforms in thousands of cerebellar cells.

Ishaan Gupta, Paul G Collier, Bettina Haase, Ahmed Mahfouz, Anoushka Joglekar, Taylor Floyd, Frank Koopmans, Ben Barres, August B Smit, Steven A Sloan and 4 more

Open access · greenAbstract read
PubMed Publisher
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 208 papers.

0numbers the graph read from it
0cells of the map it votes in
208citing papers in PubMed
15.0field-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

208 citing papers in PubMed, 361 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Review
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

148 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 at 4 institutions in 2 countries.

Ishaan GuptaBrain and Mind Research Institute and Center for Neurogenetics, Weill Cornell Medicine, New York, New York, USA.
Paul G CollierBrain and Mind Research Institute and Center for Neurogenetics, Weill Cornell Medicine, New York, New York, USA.
Bettina HaaseThe Rockefeller University, New York, New York, USA.
Ahmed MahfouzBrain and Mind Research Institute and Center for Neurogenetics, Weill Cornell Medicine, New York, New York, USA.ORCID http://orcid.org/0000-0001-8601-2149
Anoushka JoglekarBrain and Mind Research Institute and Center for Neurogenetics, Weill Cornell Medicine, New York, New York, USA.
Taylor FloydBrain and Mind Research Institute and Center for Neurogenetics, Weill Cornell Medicine, New York, New York, USA.
Frank KoopmansDepartment of Molecular and Cellular Neurobiology, Center for Neurogenomics and Cognitive Research, Amsterdam Neuroscience, VU University, Amsterdam, the Netherlands.ORCID http://orcid.org/0000-0002-4973-5732
Ben BarresDepartment of Neurobiology, Stanford University, Stanford, California, USA.
August B SmitDepartment of Molecular and Cellular Neurobiology, Center for Neurogenomics and Cognitive Research, Amsterdam Neuroscience, VU University, Amsterdam, the Netherlands.
Steven A SloanDepartment of Neurobiology, Stanford University, Stanford, California, USA.
Wenjie LuoBrain and Mind Research Institute and Appel Alzheimer's Research Institute, Weill Cornell Medicine, New York, New York, USA.
Olivier FedrigoThe Rockefeller University, New York, New York, USA.
M Elizabeth RossBrain and Mind Research Institute and Center for Neurogenetics, Weill Cornell Medicine, New York, New York, USA.ORCID http://orcid.org/0000-0001-6440-8089
Hagen U TilgnerBrain and Mind Research Institute and Center for Neurogenetics, Weill Cornell Medicine, New York, New York, USA.
Cornell University · USAmsterdam Neuroscience · NLRockefeller University · USStanford University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Full-length RNA sequencing (RNA-Seq) has been applied to bulk tissue, cell lines and sorted cells to characterize transcriptomes, but applying this technology to single cells has proven to be difficult, with less than ten single-cell transcriptomes having been analyzed thus far. Although single splicing events have been described for ≤200 single cells with statistical confidence, full-length mRNA analyses for hundreds of cells have not been reported. Single-cell short-read 3' sequencing enables the identification of cellular subtypes, but full-length mRNA isoforms for these cell types cannot be profiled. We developed a method that starts with bulk tissue and identifies single-cell types and their full-length RNA isoforms without fluorescence-activated cell sorting. Using single-cell isoform RNA-Seq (ScISOr-Seq), we identified RNA isoforms in neurons, astrocytes, microglia, and cell subtypes such as Purkinje and Granule cells, and cell-type-specific combination patterns of distant splice sites. We used ScISOr-Seq to improve genome annotation in mouse Gencode version 10 by determining the cell-type-specific expression of 18,173 known and 16,872 novel isoforms.

Identifiers

PMID30320766
OpenAlexW2897200459

What OpenQuestion holds

Textmetadata
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.