Two-dimensional gel proteome reference map of human small intestine

doi:10.1186/1477-5956-7-10

Proteome Science

Volume 7

Viewing options:

Abstract
Full text
PDF (795KB)
Additional files

Associated material:

Related literature:

Articles citing this article
on Google Scholar
on ISI Web of Science
on PubMed Central
Other articles by authors
on Google Scholar

Simula MP
Cannizzaro R
Marin MD
Pavan A
Toffoli G
Canzonieri V
De Re V

on PubMed

Simula MP
Cannizzaro R
Marin MD
Pavan A
Toffoli G
Canzonieri V
De Re V
Related articles/pages
on Google

on Google Scholar

on PubMed

Tools:

Post to:

Research

Two-dimensional gel proteome reference map of human small intestine

Maria Paola Simula¹ , Renato Cannizzaro² , Maria Dolores Marin¹ , Alessandro Pavan¹ , Giuseppe Toffoli¹ , Vincenzo Canzonieri³ and Valli De Re¹

¹Experimental and Clinical Pharmacology, CRO Centro di Riferimento Oncologico, IRCCS National Cancer Institute, via F. Gallini 2, 33081 Aviano, PN, Italy

²Gastroenterology, CRO Centro di Riferimento Oncologico, IRCCS National Cancer Institute, via F. Gallini 2, 33081 AVIANO, PN, Italy

³Pathology, CRO Centro di Riferimento Oncologico, IRCCS National Cancer Institute, via F. Gallini 2, 33081 AVIANO, PN, Italy

author email corresponding author email

Proteome Science 2009, 7:10doi:10.1186/1477-5956-7-10


Published:	19 March 2009

Additional files

Additional file 1:

Protein identification results and protein clustering on the basis of their involvement in shared biological pathways. Proteins of human duodenum tissue identified by MALDI-TOF MS from the 2-D gel shown in Figure 1, 2, 3, 4. For every identified protein we reported the Swiss Prot database accession number, protein's molecular weight (MW) and isoelectric point (pI) and the identification results, comprising the number of matching peptides, the extent of sequence coverage and the identification p-value provided by Mascot search engine. We also reported protein spot numbers referring to Figures 1, 2, 3, 4. The list of identified proteins has been analyzed with the Pathway Express tool http://vortex.cs.wayne.edu/projects.htm webcite, or searched against the Entrez Gene database, to find all associated pathways. Proteins have then been grouped on the bases of their involvement in shared biological pathways. Identified proteins resulted involved in metabolic and energetic pathways, in immune response, in the modulation of cell proliferation and apoptosis, in protein's families with structural function and in detoxification reactions.

Format: DOC Size: 225KB Download file

This file can be viewed with: Microsoft Word Viewer

Additional file 2:

Duodenal mucosa proteins expression levels. To determine the average expression levels of each identified protein, we extracted, with the XML toolbox of DeCyder software, normalized volumes, for each protein, and for all the five gels tested. Average volume, standard deviation and the coefficient of variation have then been calculated for each protein spot.

Format: DOC Size: 230KB Download file

This file can be viewed with: Microsoft Word Viewer

Additional file 3:

Mass spectra raw data and database search results. For spots identifications with a sequence coverage <20% and identification p-values between 0.001 and 0.05, we reported mass spectra raw data and database search results. Mass spectra raw data include centroid mass, peak height, relative peak intensity and peak area. The database search results consist of matching peptides sequences, observed masses and of the mass errors between expected and experimentally observed masses.

Format: XLS Size: 185KB Download file

This file can be viewed with: Microsoft Excel Viewer