Evidence map›Paper›PMID 22003824›Full record

ArticleJournal of proteome research2011

Functional implications of structural predictions for alternative splice proteins expressed in Her2/neu-induced breast cancers.

Rajasree Menon, Ambrish Roy, Srayanta Mukherjee, Saveliy Belkin, Yang Zhang, Gilbert S Omenn

Abstract read
In one paragraph

Article in Journal of proteome research, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
3.3field-weighted citation impact, top 7% 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

31 citing papers in PubMed, 44 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Advances and Utility of the Human Plasma Proteome.Journal of proteome research · 2021
    Review
  5. Article
  6. Article
  7. Article
  8. Computational Methods for Predicting Functions at the mRNA Isoform Level.International journal of molecular sciences · 2020
    Review
  9. Article
  10. Article
  11. Article
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  20. Review
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

6 authors at 2 institutions in 1 country.

Rajasree MenonCenter for Computational Medicine and Bioinformatics, University of Michigan, 100 Washtenaw Avenue, Ann Arbor, Michigan 48109-2218, United States. rajmenon@umich.edu
Ambrish Roy
Srayanta Mukherjee
Saveliy Belkin
Yang Zhang
Gilbert S Omenn
University of Michigan–Ann Arbor · USWashtenaw Community College · US

Funding

Strategic Vision & Impact on Environmental HealthP30ES017885 · NIEHS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Dana Dolinoy · 2011 to 2026
$21.3M
Nation Center- Integrative Biomedical Informatics(RMI)U54DA021519 · NIDA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ATHEY, BRIAN DAVID · 2005 to 2010
$21.3M
I-TASSER based atomic-level protein structure predictionR01GM083107 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ZHANG, YANG · 2008 to 2019
$3.5M
Atomic-level, large-scale structure prediction of G protein-coupled receptorsR01GM084222 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ZHANG, YANG · 2009 to 2012
$1.3M
NIDA NIH HHS U54 DA021519NIDA NIH HHS U54DA21519NIEHS NIH HHS P30 ES017885NIEHS NIH HHS P30ES017885NIGMS NIH HHS GM083107NIGMS NIH HHS GM084222NIGMS NIH HHS R01 GM083107NIGMS NIH HHS R01 GM084222
6 · The paper itself

Abstract

Alternative splicing allows a single gene to generate multiple mRNA transcripts, which can be translated into functionally diverse proteins. However, experimentally determined structures of protein splice isoforms are rare, and homology modeling methods are poor at predicting atomic-level structural differences because of high sequence identity. Here we exploit the state-of-the-art structure prediction method I-TASSER to analyze the structural and functional consequences of alternative splicing of proteins differentially expressed in a breast cancer model. We first successfully benchmarked the I-TASSER pipeline for structure modeling of all seven pairs of protein splice isoforms, which are known to have experimentally solved structures. We then modeled three cancer-related variant pairs reported to have opposite functions. In each pair, we observed structural differences in regions where the presence or absence of a motif can directly influence the distinctive functions of the variants. Finally, we applied the method to five splice variants overexpressed in mouse Her2/neu mammary tumor: anxa6, calu, cdc42, ptbp1, and tax1bp3. Despite >75% sequence identity between the variants, structural differences were observed in biologically important regions of these protein pairs. These results demonstrate the feasibility of integrating proteomic analysis with structure-based conformational predictions of differentially expressed alternative splice variants in cancers and other conditions.

Indexed as

Alternative SplicingGenes, erbB-2AlgorithmsAmino Acid SequenceAnimalsAnnexin A6Calcium-Binding Proteinscdc42 GTP-Binding ProteinComputational BiologyDatabases, ProteinFemaleHumansMammary Neoplasms, ExperimentalMiceModels, MolecularMolecular Sequence DataAnnexin A6Calcium-Binding ProteinsCalu protein, mousecdc42 GTP-Binding ProteinPolypyrimidine Tract-Binding ProteinProtein Isoforms

Identifiers

PMID22003824
PMCPMC3230717
OpenAlexW2071059511

What OpenQuestion holds

Textmetadata
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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.