Evidence map›Paper›PMID 26154679›Full record

ArticleScientific reports2015

Systematic Analysis of the Genetic Variability That Impacts SUMO Conjugation and Their Involvement in Human Diseases.

Hao-Dong Xu, Shao-Ping Shi, Xiang Chen, Jian-Ding Qiu

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In one paragraph

Article in Scientific reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

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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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Protein post-translational modifications:Computational and structural biotechnology journal · 2017
    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

4 authors.

Hao-Dong XuDepartment of Chemistry, Nanchang University, Nanchang 330031, P.R.China.
Shao-Ping ShiDepartment of Mathematics, Nanchang University, Nanchang 330031, P.R.China.
Xiang ChenDepartment of Chemistry, Nanchang University, Nanchang 330031, P.R.China.
Jian-Ding Qiu1] Department of Chemistry, Nanchang University, Nanchang 330031, P.R.China [2] Department of Materials and Chemical Engineering, Pingxiang College, Pingxiang 337055, P.R.China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Protein function has been observed to rely on select essential sites instead of requiring all sites to be indispensable. Small ubiquitin-related modifier (SUMO) conjugation or sumoylation, which is a highly dynamic reversible process and its outcomes are extremely diverse, ranging from changes in localization to altered activity and, in some cases, stability of the modified, has shown to be especially valuable in cellular biology. Motivated by the significance of SUMO conjugation in biological processes, we report here on the first exploratory assessment whether sumoylation related genetic variability impacts protein functions as well as the occurrence of diseases related to SUMO. Here, we defined the SUMOAMVR as sumoylation related amino acid variations that affect sumoylation sites or enzymes involved in the process of connectivity, and categorized four types of potential SUMOAMVRs. We detected that 17.13% of amino acid variations are potential SUMOAMVRs and 4.83% of disease mutations could lead to SUMOAMVR with our system. More interestingly, the statistical analysis demonstrates that the amino acid variations that directly create new potential lysine sumoylation sites are more likely to cause diseases. It can be anticipated that our method can provide more instructive guidance to identify the mechanisms of genetic diseases.

Indexed as

Disease SusceptibilityGenetic VariationAmino Acid SubstitutionComputational BiologyDatabases, ProteinHumansLysineReproducibility of ResultsROC CurveSumoylationUbiquitin-Activating EnzymesUbiquitin-Conjugating EnzymesUbiquitin-Protein LigasesWeb BrowserLysineUbiquitin-Activating EnzymesUbiquitin-Conjugating EnzymesUbiquitin-Protein Ligases

Identifiers

PMID26154679
PMCPMC4495600

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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.