Evidence map›Paper›PMID 16351747›Full record

ArticleBMC bioinformatics2005

Systematic analysis of human kinase genes: a large number of genes and alternative splicing events result in functional and structural diversity.

Luciano Milanesi, Mauro Petrillo, Leandra Sepe, Angelo Boccia, Nunzio D'Agostino, Myriam Passamano, Salvatore Di Nardo, Gianluca Tasco, Rita Casadio, Giovanni Paolella

Open access · goldAbstract read
In one paragraph

Article in BMC bioinformatics, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
4.8field-weighted citation impact, top 4% 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

36 citing papers in PubMed, 86 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Functional selection in SH3-mediated activation of the PI3 kinase.bioRxiv : the preprint server for biology · 2024
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  11. Host-Directed Antiviral Therapy.Clinical microbiology reviews · 2020
    Review
  12. Review
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  14. Review
  15. Quantitative Proteome and Phosphoproteome Analyses ofMolecular & cellular proteomics : MCP · 2018
    Article
  16. Review
  17. KiPho: malaria parasite kinome and phosphatome portal.Database : the journal of biological databases and curation · 2017
    Article
  18. Oxidant Mechanisms in Renal Injury and Disease.Antioxidants & redox signaling · 2016
    Review
  19. Article
  20. 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

10 authors at 4 institutions in 1 country.

Luciano MilanesiBiomedical Technologies Institute (ITB), National Research Council, Milan, Italy. luciano.milanesi@itb.cnr.it
Mauro Petrillo
Leandra Sepe
Angelo Boccia
Nunzio D'Agostino
Myriam Passamano
Salvatore Di Nardo
Gianluca Tasco
Rita Casadio
Giovanni Paolella
National Research Council · ITCeinge Biotecnologie Avanzate (Italy) · ITUniversity of Bologna · ITUniversity of Molise · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundProtein kinases are a well defined family of proteins, characterized by the presence of a common kinase catalytic domain and playing a significant role in many important cellular processes, such as proliferation, maintenance of cell shape, apoptosis. In many members of the family, additional non-kinase domains contribute further specialization, resulting in subcellular localization, protein binding and regulation of activity, among others. About 500 genes encode members of the kinase family in the human genome, and although many of them represent well known genes, a larger number of genes code for proteins of more recent identification, or for unknown proteins identified as kinase only after computational studies.

resultsA systematic in silico study performed on the human genome, led to the identification of 5 genes, on chromosome 1, 11, 13, 15 and 16 respectively, and 1 pseudogene on chromosome X; some of these genes are reported as kinases from NCBI but are absent in other databases, such as KinBase. Comparative analysis of 483 gene regions and subsequent computational analysis, aimed at identifying unannotated exons, indicates that a large number of kinase may code for alternately spliced forms or be incorrectly annotated. An InterProScan automated analysis was performed to study domain distribution and combination in the various families. At the same time, other structural features were also added to the annotation process, including the putative presence of transmembrane alpha helices, and the cystein propensity to participate into a disulfide bridge.

conclusionThe predicted human kinome was extended by identifying both additional genes and potential splice variants, resulting in a varied panorama where functionality may be searched at the gene and protein level. Structural analysis of kinase proteins domains as defined in multiple sources together with transmembrane alpha helices and signal peptide prediction provides hints to function assignment. The results of the human kinome analysis are collected in the KinWeb database, available for browsing and searching over the internet, where all results from the comparative analysis and the gene structure annotation are made available, alongside the domain information. Kinases may be searched by domain combinations and the relative genes may be viewed in a graphic browser at various level of magnification up to gene organization on the full chromosome set.

Indexed as

Alternative SplicingGene Expression Regulation, EnzymologicAlgorithmsAmino Acid MotifsAnimalsApoptosisCell ProliferationChromosome MappingComputational BiologyDatabases, GeneticDatabases, ProteinDisulfidesExonsGenetic VariationGenomeHumansDisulfidesPhosphotransferasesProteome

Identifiers

PMID16351747
PMCPMC1866387
OpenAlexW2114194225

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.