Cargando…

SysPIMP: the web-based systematical platform for identifying human disease-related mutated sequences from mass spectrometry

Some mutations resulting in protein sequence change might be tightly related to certain human diseases by affecting its roles, such as sickle cell anemia. Until now several databases, such as PMD, OMIM and HGMD, have been developed, providing useful information about human disease-related mutation....

Descripción completa

Detalles Bibliográficos
Autores principales: Xi, Hong, Park, Jongsun, Ding, Guohui, Lee, Yong-Hwan, Li, Yixue
Formato: Texto
Lenguaje:English
Publicado: Oxford University Press 2009
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2686442/
https://www.ncbi.nlm.nih.gov/pubmed/19036792
http://dx.doi.org/10.1093/nar/gkn848
_version_ 1782167408233938944
author Xi, Hong
Park, Jongsun
Ding, Guohui
Lee, Yong-Hwan
Li, Yixue
author_facet Xi, Hong
Park, Jongsun
Ding, Guohui
Lee, Yong-Hwan
Li, Yixue
author_sort Xi, Hong
collection PubMed
description Some mutations resulting in protein sequence change might be tightly related to certain human diseases by affecting its roles, such as sickle cell anemia. Until now several databases, such as PMD, OMIM and HGMD, have been developed, providing useful information about human disease-related mutation. Tandem mass spectrometry (MS) has been used for characterizing proteins in various conditions; however, there is no system in place for finding disease-related mutated proteins within the MS results. Here, a Systematical Platform for Identifying Mutated Proteins (SysPIMP; http://pimp.starflr.info/) was developed to efficiently identify human disease-related mutated proteins within MS results. SysPIMP comprises of three layers: (i) a standardized data warehouse, (ii) a pipeline layer for maintaining human disease databases and X!Tandem and BLAST and (iii) a web-based interface. From OMIM AV part, PMD and SwissProt databases, 35 497 non-redundant human disease-related mutated sequences were collected with disease information described by OMIM terms. With the interfaces to browse sequences archived in SysPIMP, X!Tandem, an open source database-search engine used to identify proteins within MS data, was integrated into SysPIMP to help support the detection of potential human disease-related mutants in MS results. In addition, together with non-redundant disease-related mutated sequences, original non-mutated sequences are also provided in SysPIMP for comparative research. Based on this system, SysPIMP will be the platform for efficiently and intensively studying human diseases caused by mutation.
format Text
id pubmed-2686442
institution National Center for Biotechnology Information
language English
publishDate 2009
publisher Oxford University Press
record_format MEDLINE/PubMed
spelling pubmed-26864422009-05-26 SysPIMP: the web-based systematical platform for identifying human disease-related mutated sequences from mass spectrometry Xi, Hong Park, Jongsun Ding, Guohui Lee, Yong-Hwan Li, Yixue Nucleic Acids Res Articles Some mutations resulting in protein sequence change might be tightly related to certain human diseases by affecting its roles, such as sickle cell anemia. Until now several databases, such as PMD, OMIM and HGMD, have been developed, providing useful information about human disease-related mutation. Tandem mass spectrometry (MS) has been used for characterizing proteins in various conditions; however, there is no system in place for finding disease-related mutated proteins within the MS results. Here, a Systematical Platform for Identifying Mutated Proteins (SysPIMP; http://pimp.starflr.info/) was developed to efficiently identify human disease-related mutated proteins within MS results. SysPIMP comprises of three layers: (i) a standardized data warehouse, (ii) a pipeline layer for maintaining human disease databases and X!Tandem and BLAST and (iii) a web-based interface. From OMIM AV part, PMD and SwissProt databases, 35 497 non-redundant human disease-related mutated sequences were collected with disease information described by OMIM terms. With the interfaces to browse sequences archived in SysPIMP, X!Tandem, an open source database-search engine used to identify proteins within MS data, was integrated into SysPIMP to help support the detection of potential human disease-related mutants in MS results. In addition, together with non-redundant disease-related mutated sequences, original non-mutated sequences are also provided in SysPIMP for comparative research. Based on this system, SysPIMP will be the platform for efficiently and intensively studying human diseases caused by mutation. Oxford University Press 2009-01 2008-11-26 /pmc/articles/PMC2686442/ /pubmed/19036792 http://dx.doi.org/10.1093/nar/gkn848 Text en © 2008 The Author(s) http://creativecommons.org/licenses/by-nc/2.0/uk/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.0/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Articles
Xi, Hong
Park, Jongsun
Ding, Guohui
Lee, Yong-Hwan
Li, Yixue
SysPIMP: the web-based systematical platform for identifying human disease-related mutated sequences from mass spectrometry
title SysPIMP: the web-based systematical platform for identifying human disease-related mutated sequences from mass spectrometry
title_full SysPIMP: the web-based systematical platform for identifying human disease-related mutated sequences from mass spectrometry
title_fullStr SysPIMP: the web-based systematical platform for identifying human disease-related mutated sequences from mass spectrometry
title_full_unstemmed SysPIMP: the web-based systematical platform for identifying human disease-related mutated sequences from mass spectrometry
title_short SysPIMP: the web-based systematical platform for identifying human disease-related mutated sequences from mass spectrometry
title_sort syspimp: the web-based systematical platform for identifying human disease-related mutated sequences from mass spectrometry
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2686442/
https://www.ncbi.nlm.nih.gov/pubmed/19036792
http://dx.doi.org/10.1093/nar/gkn848
work_keys_str_mv AT xihong syspimpthewebbasedsystematicalplatformforidentifyinghumandiseaserelatedmutatedsequencesfrommassspectrometry
AT parkjongsun syspimpthewebbasedsystematicalplatformforidentifyinghumandiseaserelatedmutatedsequencesfrommassspectrometry
AT dingguohui syspimpthewebbasedsystematicalplatformforidentifyinghumandiseaserelatedmutatedsequencesfrommassspectrometry
AT leeyonghwan syspimpthewebbasedsystematicalplatformforidentifyinghumandiseaserelatedmutatedsequencesfrommassspectrometry
AT liyixue syspimpthewebbasedsystematicalplatformforidentifyinghumandiseaserelatedmutatedsequencesfrommassspectrometry