Evidence map›Paper›PMID 27079421›Full record

ArticleScientific reports2016

A Network of Splice Isoforms for the Mouse.

Hong-Dong Li, Rajasree Menon, Ridvan Eksi, Aysam Guerler, Yang Zhang, Gilbert S Omenn, Yuanfang Guan

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.7field-weighted citation impact, top 15% 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

11 citing papers in PubMed, 23 citations in OpenAlex.

  1. Revisiting the role of Annexins in membrane trafficking.Cellular and molecular life sciences : CMLS · 2025
    Review
  2. Article
  3. Annexin Animal Models-From Fundamental Principles to Translational Research.International journal of molecular sciences · 2021
    Review
  4. Article
  5. Annexins Bridging the Gap: Novel Roles in Membrane Contact Site Formation.Frontiers in cell and developmental biology · 2021
    Review
  6. Computational Methods for Predicting Functions at the mRNA Isoform Level.International journal of molecular sciences · 2020
    Review
  7. Article
  8. Article
  9. Bioinformatics challenges and perspectives when studying the effect of epigenetic modifications on alternative splicing.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2018
    Review
  10. Article
  11. Article
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

7 authors at 3 institutions in 1 country.

Hong-Dong LiDepartment of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, Michigan, United States.
Rajasree MenonDepartment of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, Michigan, United States.
Ridvan EksiDepartment of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, Michigan, United States.
Aysam GuerlerDepartment of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, Michigan, United States.
Yang ZhangDepartment of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, Michigan, United States.
Gilbert S OmennDepartment of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, Michigan, United States.
Yuanfang GuanDepartment of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, Michigan, United States.
University of Michigan–Ann Arbor · USMichigan United · USInstitute for Systems Biology · US

Funding

Strategic Vision & Impact on Environmental HealthP30ES017885 · NIEHS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Dana Dolinoy · 2011 to 2026
$21.3M
NIEHS NIH HHS P30 ES017885NIEHS NIH HHS U54ES017885
6 · The paper itself

Abstract

The laboratory mouse is the primary mammalian species used for studying alternative splicing events. Recent studies have generated computational models to predict functions for splice isoforms in the mouse. However, the functional relationship network, describing the probability of splice isoforms participating in the same biological process or pathway, has not yet been studied in the mouse. Here we describe a rich genome-wide resource of mouse networks at the isoform level, which was generated using a unique framework that was originally developed to infer isoform functions. This network was built through integrating heterogeneous genomic and protein data, including RNA-seq, exon array, protein docking and pseudo-amino acid composition. Through simulation and cross-validation studies, we demonstrated the accuracy of the algorithm in predicting isoform-level functional relationships. We showed that this network enables the users to reveal functional differences of the isoforms of the same gene, as illustrated by literature evidence with Anxa6 (annexin a6) as an example. We expect this work will become a useful resource for the mouse genetics community to understand gene functions. The network is publicly available at: http://guanlab.ccmb.med.umich.edu/isoformnetwork.

Indexed as

Alternative SplicingGene Regulatory NetworksRNA IsoformsAlgorithmsAnimalsComputational BiologyComputer SimulationGenomicsMachine LearningMiceProtein Interaction MappingReproducibility of ResultsRNA Isoforms

Identifiers

PMID27079421
PMCPMC4832266
OpenAlexW2340098008

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.