Database Resources for Proteomics-Based Analysis of Cancer

Guang Lan Zhang; David S. DeLuca; Vladimir Brusic

doi:10.1007/978-1-61779-043-0_22

Database Resources for Proteomics-Based Analysis of Cancer

Guang Lan Zhang
, David S. DeLuca^*
, Vladimir Brusic

^*Corresponding author for this work

Research output: Chapter in Book/Conference proceeding › Book Chapter › peer-review

8 Citations (Scopus)

Abstract

Biological/bioinformatics databases are essential for medical and biological studies. They integrate and organize biologically related information in a structured format and provide researchers with easy access to a variety of relevant data. This review presents an overview of publicly available databases relevant to proteomics studies in cancer research. They include gene/protein expression databases, gene mutation and single nucleotide polymorphisms databases, tumor antigen databases, protein–protein interaction, and biological pathway databases. Automated information retrieval from these databases enables efficient large-scale proteomics data analysis.

Original language	English
Title of host publication	Methods in Molecular Biology
Publisher	Humana Press Inc.
Pages	349-364
Number of pages	16
DOIs	https://doi.org/10.1007/978-1-61779-043-0_22
Publication status	Published - 2011
Externally published	Yes

Publication series

Name	Methods in Molecular Biology
Volume	723
ISSN (Print)	1064-3745
ISSN (Electronic)	1940-6029

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Free Keywords

Biological pathway
Database
Mutation
Protein expression
Protein microarray
Protein–protein interaction
Proteomics
Single nucleotide polymorphisms
Tumor antigen

ASJC Scopus subject areas

Molecular Biology
Genetics

Access to Document

10.1007/978-1-61779-043-0_22

Cite this

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title = "Database Resources for Proteomics-Based Analysis of Cancer",

abstract = "Biological/bioinformatics databases are essential for medical and biological studies. They integrate and organize biologically related information in a structured format and provide researchers with easy access to a variety of relevant data. This review presents an overview of publicly available databases relevant to proteomics studies in cancer research. They include gene/protein expression databases, gene mutation and single nucleotide polymorphisms databases, tumor antigen databases, protein–protein interaction, and biological pathway databases. Automated information retrieval from these databases enables efficient large-scale proteomics data analysis.",

keywords = "Biological pathway, Database, Mutation, Protein expression, Protein microarray, Protein–protein interaction, Proteomics, Single nucleotide polymorphisms, Tumor antigen",

author = "Zhang, \{Guang Lan\} and DeLuca, \{David S.\} and Vladimir Brusic",

note = "Publisher Copyright: {\textcopyright} 2011, Springer Science+Business Media, LLC.",

year = "2011",

doi = "10.1007/978-1-61779-043-0\_22",

language = "English",

series = "Methods in Molecular Biology",

publisher = "Humana Press Inc.",

pages = "349--364",

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AU - Zhang, Guang Lan

AU - DeLuca, David S.

AU - Brusic, Vladimir

PY - 2011

Y1 - 2011

N2 - Biological/bioinformatics databases are essential for medical and biological studies. They integrate and organize biologically related information in a structured format and provide researchers with easy access to a variety of relevant data. This review presents an overview of publicly available databases relevant to proteomics studies in cancer research. They include gene/protein expression databases, gene mutation and single nucleotide polymorphisms databases, tumor antigen databases, protein–protein interaction, and biological pathway databases. Automated information retrieval from these databases enables efficient large-scale proteomics data analysis.

AB - Biological/bioinformatics databases are essential for medical and biological studies. They integrate and organize biologically related information in a structured format and provide researchers with easy access to a variety of relevant data. This review presents an overview of publicly available databases relevant to proteomics studies in cancer research. They include gene/protein expression databases, gene mutation and single nucleotide polymorphisms databases, tumor antigen databases, protein–protein interaction, and biological pathway databases. Automated information retrieval from these databases enables efficient large-scale proteomics data analysis.

KW - Biological pathway

KW - Database

KW - Mutation

KW - Protein expression

KW - Protein microarray

KW - Protein–protein interaction

KW - Proteomics

KW - Single nucleotide polymorphisms

KW - Tumor antigen

UR - https://www.scopus.com/pages/publications/79958290934

U2 - 10.1007/978-1-61779-043-0_22

DO - 10.1007/978-1-61779-043-0_22

M3 - Book Chapter

C2 - 21370076

AN - SCOPUS:79958290934

T3 - Methods in Molecular Biology

SP - 349

EP - 364

BT - Methods in Molecular Biology

PB - Humana Press Inc.

ER -

Database Resources for Proteomics-Based Analysis of Cancer

Abstract

Publication series

UN SDGs

Free Keywords

ASJC Scopus subject areas

Access to Document

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Cite this