Evidence map›Paper›PMID 24282307›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2013

Characterization of the human ESC transcriptome by hybrid sequencing.

Kin Fai Au, Vittorio Sebastiano, Pegah Tootoonchi Afshar, Jens Durruthy Durruthy, Lawrence Lee, Brian A Williams, Harm van Bakel, Eric E Schadt, Renee A Reijo-Pera, Jason G Underwood and 1 more

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 193 papers.

0numbers the graph read from it
0cells of the map it votes in
193citing 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

193 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. The changing landscape of gene expression analysis.Briefings in bioinformatics · 2026
    Review
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  6. Article
  7. Article
  8. Review
  9. Review
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  12. Article
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  14. Long-read RNA sequencing: A transformative technology for exploring transcriptome complexity in human diseases.Molecular therapy : the journal of the American Society of Gene Therapy · 2025
    Review
  15. Review
  16. Review
  17. Article
  18. Article
  19. Article
  20. Article

133 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

11 authors.

Kin Fai AuDepartment of Statistics and Department of Health Research and Policy, Stanford University, Stanford, CA 94305.
Vittorio Sebastiano
Pegah Tootoonchi Afshar
Jens Durruthy Durruthy
Lawrence Lee
Brian A Williams
Harm van Bakel
Eric E Schadt
Renee A Reijo-Pera
Jason G Underwood
Wing Hung Wong

Funding

Global Annotation of Regulatory Elements in the Human GenomeU54HG004576 · NHGRI · STANFORD UNIVERSITY · PI MYERS, RICHARD M · 2007 to 2011
$21.8M
Toward a comprehensive functional annotation of the human genomeU54HG006998 · NHGRI · HUDSON-ALPHA INSTITUTE FOR BIOTECHNOLOGY · PI MYERS, RICHARD M · 2012 to 2016
$17.5M
Basic and Translational Research iPSC-based hematologic and vascular therapiesU01HL100397 · NHLBI · STANFORD UNIVERSITY · PI COOKE, JOHN P · 2009 to 2015
$7.4M
Stanford University Center for Reproductive and Stem Cell biologyU54HD068158 · NICHD · STANFORD UNIVERSITY · PI FULLER, MARGARET T · 2011 to 2013
$5.0M
Statistical analysis of RNA-Seq dataR01HG005717 · NHGRI · STANFORD UNIVERSITY · PI WONG, WING H. · 2011 to 2013
$1.1M
NHGRI NIH HHS R01 HG005717NHGRI NIH HHS R01HG005717NHGRI NIH HHS U54 HG004576NHGRI NIH HHS U54 HG006998NHLBI NIH HHS U01 HL100397NHLBI NIH HHS U01HL100397NICHD NIH HHS U54 HD068158
6 · The paper itself

Abstract

Although transcriptional and posttranscriptional events are detected in RNA-Seq data from second-generation sequencing, full-length mRNA isoforms are not captured. On the other hand, third-generation sequencing, which yields much longer reads, has current limitations of lower raw accuracy and throughput. Here, we combine second-generation sequencing and third-generation sequencing with a custom-designed method for isoform identification and quantification to generate a high-confidence isoform dataset for human embryonic stem cells (hESCs). We report 8,084 RefSeq-annotated isoforms detected as full-length and an additional 5,459 isoforms predicted through statistical inference. Over one-third of these are novel isoforms, including 273 RNAs from gene loci that have not previously been identified. Further characterization of the novel loci indicates that a subset is expressed in pluripotent cells but not in diverse fetal and adult tissues; moreover, their reduced expression perturbs the network of pluripotency-associated genes. Results suggest that gene identification, even in well-characterized human cell lines and tissues, is likely far from complete.

Indexed as

Alternative SplicingEmbryonic Stem CellsGene Expression ProfilingHigh-Throughput Nucleotide SequencingHumansMaleProtein IsoformsTranscriptomeProtein Isoformsalternative splicinghESC transcriptomeisoform discoverylncNRAPacBio

Identifiers

PMID24282307
PMCPMC3864310

What OpenQuestion holds

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Read underepoch 390

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.