Murine colon proteome and characterization of the protein pathways

<p>Abstract</p> <p>Background</p> <p>Most of the current proteomic researches focus on proteome alteration due to pathological disorders (<it>i.e.</it>: colorectal cancer) rather than normal healthy state when mentioning colon. As a result, there are lacks o...

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Main Authors: Magdeldin Sameh, Yoshida Yutaka, Li Huiping, Maeda Yoshitaka, Yokoyama Munesuke, Enany Shymaa, Zhang Ying, Xu Bo, Fujinaka Hidehiko, Yaoita Eishin, Sasaki Sei, Yamamoto Tadashi
Format: Article
Language:English
Published: BMC 2012-08-01
Series:BioData Mining
Subjects:
Online Access:http://www.biodatamining.org/content/5/1/11
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spelling doaj-97b04e9e98d74b23bc961104b7bc05cc2020-11-24T21:15:34ZengBMCBioData Mining1756-03812012-08-01511110.1186/1756-0381-5-11Murine colon proteome and characterization of the protein pathwaysMagdeldin SamehYoshida YutakaLi HuipingMaeda YoshitakaYokoyama MunesukeEnany ShymaaZhang YingXu BoFujinaka HidehikoYaoita EishinSasaki SeiYamamoto Tadashi<p>Abstract</p> <p>Background</p> <p>Most of the current proteomic researches focus on proteome alteration due to pathological disorders (<it>i.e.</it>: colorectal cancer) rather than normal healthy state when mentioning colon. As a result, there are lacks of information regarding normal whole tissue- colon proteome.</p> <p>Results</p> <p>We report here a detailed murine (mouse) whole tissue- colon protein reference dataset composed of 1237 confident protein (FDR < 2) with comprehensive insight on its peptide properties, cellular and subcellular localization, functional network GO annotation analysis, and its relative abundances. The presented dataset includes wide spectra of p<it>I</it> and Mw ranged from 3–12 and 4–600 KDa, respectively. Gravy index scoring predicted 19.5% membranous and 80.5% globularly located proteins. GO hierarchies and functional network analysis illustrated proteins function together with their relevance and implication of several candidates in malignancy such as Mitogen- activated protein kinase (Mapk8, 9) in colorectal cancer, Fibroblast growth factor receptor (Fgfr 2), Glutathione S-transferase (Gstp1) in prostate cancer, and Cell division control protein (Cdc42), Ras-related protein (Rac1,2) in pancreatic cancer. Protein abundances calculated with 3 different algorithms (NSAF, PAF and emPAI) provide a relative quantification under normal condition as guidance.</p> <p>Conclusions</p> <p>This highly confidence colon proteome catalogue will not only serve as a useful reference for further experiments characterizing differentially expressed proteins induced from diseased conditions, but also will aid in better understanding the ontology and functional absorptive mechanism of the colon as well.</p> http://www.biodatamining.org/content/5/1/11ColonProteomeMass spectrometryHPLC
collection DOAJ
language English
format Article
sources DOAJ
author Magdeldin Sameh
Yoshida Yutaka
Li Huiping
Maeda Yoshitaka
Yokoyama Munesuke
Enany Shymaa
Zhang Ying
Xu Bo
Fujinaka Hidehiko
Yaoita Eishin
Sasaki Sei
Yamamoto Tadashi
spellingShingle Magdeldin Sameh
Yoshida Yutaka
Li Huiping
Maeda Yoshitaka
Yokoyama Munesuke
Enany Shymaa
Zhang Ying
Xu Bo
Fujinaka Hidehiko
Yaoita Eishin
Sasaki Sei
Yamamoto Tadashi
Murine colon proteome and characterization of the protein pathways
BioData Mining
Colon
Proteome
Mass spectrometry
HPLC
author_facet Magdeldin Sameh
Yoshida Yutaka
Li Huiping
Maeda Yoshitaka
Yokoyama Munesuke
Enany Shymaa
Zhang Ying
Xu Bo
Fujinaka Hidehiko
Yaoita Eishin
Sasaki Sei
Yamamoto Tadashi
author_sort Magdeldin Sameh
title Murine colon proteome and characterization of the protein pathways
title_short Murine colon proteome and characterization of the protein pathways
title_full Murine colon proteome and characterization of the protein pathways
title_fullStr Murine colon proteome and characterization of the protein pathways
title_full_unstemmed Murine colon proteome and characterization of the protein pathways
title_sort murine colon proteome and characterization of the protein pathways
publisher BMC
series BioData Mining
issn 1756-0381
publishDate 2012-08-01
description <p>Abstract</p> <p>Background</p> <p>Most of the current proteomic researches focus on proteome alteration due to pathological disorders (<it>i.e.</it>: colorectal cancer) rather than normal healthy state when mentioning colon. As a result, there are lacks of information regarding normal whole tissue- colon proteome.</p> <p>Results</p> <p>We report here a detailed murine (mouse) whole tissue- colon protein reference dataset composed of 1237 confident protein (FDR < 2) with comprehensive insight on its peptide properties, cellular and subcellular localization, functional network GO annotation analysis, and its relative abundances. The presented dataset includes wide spectra of p<it>I</it> and Mw ranged from 3–12 and 4–600 KDa, respectively. Gravy index scoring predicted 19.5% membranous and 80.5% globularly located proteins. GO hierarchies and functional network analysis illustrated proteins function together with their relevance and implication of several candidates in malignancy such as Mitogen- activated protein kinase (Mapk8, 9) in colorectal cancer, Fibroblast growth factor receptor (Fgfr 2), Glutathione S-transferase (Gstp1) in prostate cancer, and Cell division control protein (Cdc42), Ras-related protein (Rac1,2) in pancreatic cancer. Protein abundances calculated with 3 different algorithms (NSAF, PAF and emPAI) provide a relative quantification under normal condition as guidance.</p> <p>Conclusions</p> <p>This highly confidence colon proteome catalogue will not only serve as a useful reference for further experiments characterizing differentially expressed proteins induced from diseased conditions, but also will aid in better understanding the ontology and functional absorptive mechanism of the colon as well.</p>
topic Colon
Proteome
Mass spectrometry
HPLC
url http://www.biodatamining.org/content/5/1/11
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