Quantification of proteins from proteomic analysis

Zainab Noor; Subash Adhikari; Shoba Ranganathan; Abidali Mohamedali

doi:10.1016/B978-0-12-809633-8.20677-8

Quantification of proteins from proteomic analysis

Zainab Noor, Subash Adhikari, Shoba Ranganathan, Abidali Mohamedali

Research output: Chapter in Book/Report/Conference proceeding › Entry for encyclopedia/dictionary/reference book

2 Citations (Scopus)

Abstract

After protein identification, the quantification of proteins is one of the fundamental applications of proteomics. Accurate quantification has the potential to yield insights of the biology of organisms and most especially the reaction to changes in the internal or external environment. Mass spectrometry and subsequent informatics has also played a significant role in revolutionising, allowing thousands of proteins to be quantified in a single experiment. This article briefly discusses the most commonly used protein quantification methodologies in proteomics and provides a worked case study of protein quantification analysis using freely available tools of publicly available Data Independent Acquisition mass spectrometry (DIA-MS) data.

Original language	English
Title of host publication	Encyclopedia of bioinformatics and computational biology
Subtitle of host publication	ABC of Bioinformatics
Editors	Mario Cannataro, Bruno Gaeta, Mohammad Asif Khan
Place of Publication	Amsterdam; Oxford; Cambridge
Publisher	Elsevier
Pages	871-890
Number of pages	20
Volume	3
ISBN (Electronic)	9780128114322
ISBN (Print)	9780128114148
DOIs	https://doi.org/10.1016/B978-0-12-809633-8.20677-8
Publication status	Published - 2019

Bibliographical note

Editors-in-chief: Shoba Ranganathan, Kenta Nakai, Christian Schönbach, Michael Gribskov.

Keywords

Bioinformatics
Protein quantification
Data-independent acquisition
Bioinformatics analysis
Expression analysis
Quantitative proteomics
Statistical analysis
Reaction monitoring
Mass spectrometry
Label-free quantification
Up/down regulation

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10.1016/B978-0-12-809633-8.20677-8

Cite this

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title = "Quantification of proteins from proteomic analysis",

abstract = "After protein identification, the quantification of proteins is one of the fundamental applications of proteomics. Accurate quantification has the potential to yield insights of the biology of organisms and most especially the reaction to changes in the internal or external environment. Mass spectrometry and subsequent informatics has also played a significant role in revolutionising, allowing thousands of proteins to be quantified in a single experiment. This article briefly discusses the most commonly used protein quantification methodologies in proteomics and provides a worked case study of protein quantification analysis using freely available tools of publicly available Data Independent Acquisition mass spectrometry (DIA-MS) data.",

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Quantification of proteins from proteomic analysis. / Noor, Zainab; Adhikari, Subash; Ranganathan, Shoba et al.
Encyclopedia of bioinformatics and computational biology: ABC of Bioinformatics. ed. / Mario Cannataro; Bruno Gaeta; Mohammad Asif Khan. Vol. 3 Amsterdam; Oxford; Cambridge: Elsevier, 2019. p. 871-890.

Research output: Chapter in Book/Report/Conference proceeding › Entry for encyclopedia/dictionary/reference book

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T1 - Quantification of proteins from proteomic analysis

AU - Noor, Zainab

AU - Adhikari, Subash

AU - Ranganathan, Shoba

AU - Mohamedali, Abidali

N1 - Editors-in-chief: Shoba Ranganathan, Kenta Nakai, Christian Schönbach, Michael Gribskov.

PY - 2019

Y1 - 2019

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AB - After protein identification, the quantification of proteins is one of the fundamental applications of proteomics. Accurate quantification has the potential to yield insights of the biology of organisms and most especially the reaction to changes in the internal or external environment. Mass spectrometry and subsequent informatics has also played a significant role in revolutionising, allowing thousands of proteins to be quantified in a single experiment. This article briefly discusses the most commonly used protein quantification methodologies in proteomics and provides a worked case study of protein quantification analysis using freely available tools of publicly available Data Independent Acquisition mass spectrometry (DIA-MS) data.

KW - Bioinformatics

KW - Protein quantification

KW - Data-independent acquisition

KW - Bioinformatics analysis

KW - Expression analysis

KW - Quantitative proteomics

KW - Statistical analysis

KW - Reaction monitoring

KW - Mass spectrometry

KW - Label-free quantification

KW - Up/down regulation

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DO - 10.1016/B978-0-12-809633-8.20677-8

M3 - Entry for encyclopedia/dictionary/reference book

SN - 9780128114148

VL - 3

SP - 871

EP - 890

BT - Encyclopedia of bioinformatics and computational biology

A2 - Cannataro, Mario

A2 - Gaeta, Bruno

A2 - Asif Khan, Mohammad

PB - Elsevier

CY - Amsterdam; Oxford; Cambridge

ER -

Quantification of proteins from proteomic analysis

Abstract

Bibliographical note

Keywords

Access to Document

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Deciphering the kidney matrisome: identification and quantification of renal extracellular matrix proteins in healthy mice

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