Evidence map›Paper›PMID 24722188›Full record

ArticleNature communications2014

Protein interaction network of alternatively spliced isoforms from brain links genetic risk factors for autism.

Roser Corominas, Xinping Yang, Guan Ning Lin, Shuli Kang, Yun Shen, Lila Ghamsari, Martin Broly, Maria Rodriguez, Stanley Tam, Shelly A Wanamaker and 20 more

Erratum issuedAbstract read
In one paragraph

Article in Nature communications, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 82 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
82citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
  6. Circadian clock crosstalks with autism.Brain and behavior · 2023
    Article
  7. The Molecular and Function Characterization of Porcine MID2.Animals : an open access journal from MDPI · 2023
    Article
  8. Article
  9. Article
  10. International journal of molecular sciences · 2023
    Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

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

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

30 authors.

Roser Corominas *Department of Psychiatry, University of California San Diego, La Jolla, 92093, California, USA.
Xinping Yang *Center for Cancer Systems Biology (CCSB) and Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, 02115, Massachusetts, USA.
Guan Ning Lin *Department of Psychiatry, University of California San Diego, La Jolla, 92093, California, USA.
Shuli Kang *Department of Psychiatry, University of California San Diego, La Jolla, 92093, California, USA.
Yun ShenCenter for Cancer Systems Biology (CCSB) and Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, 02115, Massachusetts, USA.
Lila GhamsariCenter for Cancer Systems Biology (CCSB) and Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, 02115, Massachusetts, USA.
Martin BrolyCenter for Cancer Systems Biology (CCSB) and Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, 02115, Massachusetts, USA.
Maria RodriguezCenter for Cancer Systems Biology (CCSB) and Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, 02115, Massachusetts, USA.
Stanley TamCenter for Cancer Systems Biology (CCSB) and Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, 02115, Massachusetts, USA.
Shelly A WanamakerCenter for Cancer Systems Biology (CCSB) and Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, 02115, Massachusetts, USA.
Changyu FanCenter for Cancer Systems Biology (CCSB) and Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, 02115, Massachusetts, USA.
Song YiCenter for Cancer Systems Biology (CCSB) and Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, 02115, Massachusetts, USA.
Murat TasanDonnelly Centre and Departments of Molecular Genetics & Computer Science, University of Toronto, and Samuel Lunenfeld Research Institute, Mt. Sinai Hospital, Toronto, M5S 3E1, Ontario, Canada.
Irma LemmensDepartment of Medical Protein Research, and Department of Biochemistry, VIB, Faculty of Medicine and Health Sciences, Ghent University, Ghent, B-9000, Belgium.
Xingyan KuangDepartment of Computer Science and Informatics Institute, University of Missouri, Columbia, 65203, Missouri, USA.
Nan ZhaoDepartment of Computer Science and Informatics Institute, University of Missouri, Columbia, 65203, Missouri, USA.
Dheeraj MalhotraBeyster Center for Genomics of Psychiatric Diseases and Department of Psychiatry, University of California San Diego, La Jolla, 92093, California, USA.
Jacob J MichaelsonBeyster Center for Genomics of Psychiatric Diseases and Department of Psychiatry, University of California San Diego, La Jolla, 92093, California, USA.
Vladimir VacicNew York Genome Center, New York, 10013, New York, USA.
Michael A CalderwoodCenter for Cancer Systems Biology (CCSB) and Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, 02115, Massachusetts, USA.
Frederick P RothCenter for Cancer Systems Biology (CCSB) and Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, 02115, Massachusetts, USA.
Jan TavernierDepartment of Medical Protein Research, and Department of Biochemistry, VIB, Faculty of Medicine and Health Sciences, Ghent University, Ghent, B-9000, Belgium.
Steve HorvathDepartment of Human Genetics and Biostatistics, University of California, Los Angeles, 90095, California, USA.
Kourosh Salehi-AshtianiCenter for Cancer Systems Biology (CCSB) and Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, 02115, Massachusetts, USA.
Dmitry KorkinDepartment of Computer Science and Informatics Institute, University of Missouri, Columbia, 65203, Missouri, USA.
Jonathan SebatBeyster Center for Genomics of Psychiatric Diseases and Department of Psychiatry, University of California San Diego, La Jolla, 92093, California, USA.
David E HillCenter for Cancer Systems Biology (CCSB) and Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, 02115, Massachusetts, USA.
Tong HaoCenter for Cancer Systems Biology (CCSB) and Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, 02115, Massachusetts, USA. tong_hao@dfci.harvard.edu.
Marc VidalCenter for Cancer Systems Biology (CCSB) and Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, 02115, Massachusetts, USA. marc_vidal@dfci.harvard.edu.
Lilia M IakouchevaDepartment of Psychiatry, University of California San Diego, La Jolla, 92093, California, USA. lilyak@ucsd.edu.

Funding

Genomic Analysis of Network Perturbations in Human DiseaseP50HG004233 · NHGRI · DANA-FARBER CANCER INST · PI VIDAL, MARC · 2007 to 2017
$31.6M
The C. elegans Interactome ProjectR01HG001715 · NHGRI · MASSACHUSETTS GENERAL HOSPITAL · PI HILL, DAVID E., ROTH, FREDERICK P · 1998 to 2010
$16.5M
The Role of Germline Mutation and Parental Age in Autism Spectrum DisordersR01MH076431 · NIMH · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SEBAT, JONATHAN · 2005 to 2015
$5.5M
Mapping the first half of the REFERENCE human binary protein interactomeU01HG001715 · NHGRI · DANA-FARBER CANCER INST · PI HILL, DAVID E., ROTH, FREDERICK P · 2012 to 2014
$5.4M
Schizophrenia interactome mapping and global discovery of brain splice variantsR01MH091350 · NIMH · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI HAO, TONG, IAKOUCHEVA, LILIA M · 2010 to 2014
$2.9M
A systems biology approach to unravel theunderlying functional modules of ASDR01HD065288 · NICHD · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI IAKOUCHEVA, LILIA M · 2009 to 2010
$1.3M
NHGRI NIH HHS P50 HG004233NHGRI NIH HHS R01 HG001715NHGRI NIH HHS R01HG001715NHGRI NIH HHS U01 HG001715NICHD NIH HHS ARRA R01HD065288NICHD NIH HHS R01 HD065288NIMH NIH HHS MH076431NIMH NIH HHS R01 MH076431NIMH NIH HHS R01 MH091350NIMH NIH HHS R01MH091350
6 · The paper itself

Abstract

Increased risk for autism spectrum disorders (ASD) is attributed to hundreds of genetic loci. The convergence of ASD variants have been investigated using various approaches, including protein interactions extracted from the published literature. However, these datasets are frequently incomplete, carry biases and are limited to interactions of a single splicing isoform, which may not be expressed in the disease-relevant tissue. Here we introduce a new interactome mapping approach by experimentally identifying interactions between brain-expressed alternatively spliced variants of ASD risk factors. The Autism Spliceform Interaction Network reveals that almost half of the detected interactions and about 30% of the newly identified interacting partners represent contribution from splicing variants, emphasizing the importance of isoform networks. Isoform interactions greatly contribute to establishing direct physical connections between proteins from the de novo autism CNVs. Our findings demonstrate the critical role of spliceform networks for translating genetic knowledge into a better understanding of human diseases.

Indexed as

Alternative SplicingAutistic DisorderGenetic Predisposition to DiseaseHumansMolecular Sequence DataProtein Interaction MapsProtein IsoformsRisk FactorsProtein Isoforms

Identifiers

PMID24722188
PMCPMC3996537

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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.