Identification of proteins from proteomic analysis

Research output: Chapter in Book/Report/Conference proceedingEntry for encyclopedia/dictionary/reference bookResearchpeer-review

Abstract

Mass spectrometry based identification of proteins is one of the foundations of proteomics. In recent decades, this post-genomic discipline has been widely used in all fields in biology from biomarker discovery in human diseases to markers of freshness in fruit. In this chapter, we present the basic mechanism of data acquisition through a mass spectrometer, and extraction and analysis of protein identities using readily available, web based bioinformatics and computational tools. A sample yeast dataset is used to illustrate the process of protein identification based on the Trans-Proteomic pipeline, as well as other web tools. To increase the confidence in protein identity, communally accepted metrics are also suggested.
LanguageEnglish
Title of host publicationEncyclopedia of bioinformatics and computational biology
EditorsMario Cannataro, Bruno Gaeta, Mohammad Asif Khan
Place of PublicationAmsterdam; Oxford; Cambridge
PublisherElsevier
Pages855-870
Number of pages16
Volume3
ISBN (Electronic)9780128114322
ISBN (Print)9780128114148
DOIs
Publication statusPublished - 2019

Fingerprint

Proteins
Biomarkers
Mass spectrometers
Bioinformatics
Fruits
Yeast
Mass spectrometry
Data acquisition
Pipelines
Proteomics

Bibliographical note

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

Keywords

  • Bioinformatics
  • Proteomics data analysis
  • Protein identification

Cite this

Noor, Z., Mohamedali, A., & Ranganathan, S. (2019). Identification of proteins from proteomic analysis. In M. Cannataro, B. Gaeta, & M. Asif Khan (Eds.), Encyclopedia of bioinformatics and computational biology (Vol. 3, pp. 855-870). Amsterdam; Oxford; Cambridge: Elsevier. https://doi.org/10.1016/B978-0-12-809633-8.20478-0
Noor, Zainab ; Mohamedali, Abidali ; Ranganathan, Shoba. / Identification of proteins from proteomic analysis. Encyclopedia of bioinformatics and computational biology. editor / Mario Cannataro ; Bruno Gaeta ; Mohammad Asif Khan. Vol. 3 Amsterdam; Oxford; Cambridge : Elsevier, 2019. pp. 855-870
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Noor, Z, Mohamedali, A & Ranganathan, S 2019, Identification of proteins from proteomic analysis. in M Cannataro, B Gaeta & M Asif Khan (eds), Encyclopedia of bioinformatics and computational biology. vol. 3, Elsevier, Amsterdam; Oxford; Cambridge, pp. 855-870. https://doi.org/10.1016/B978-0-12-809633-8.20478-0

Identification of proteins from proteomic analysis. / Noor, Zainab; Mohamedali, Abidali; Ranganathan, Shoba.

Encyclopedia of bioinformatics and computational biology. ed. / Mario Cannataro; Bruno Gaeta; Mohammad Asif Khan. Vol. 3 Amsterdam; Oxford; Cambridge : Elsevier, 2019. p. 855-870.

Research output: Chapter in Book/Report/Conference proceedingEntry for encyclopedia/dictionary/reference bookResearchpeer-review

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Noor Z, Mohamedali A, Ranganathan S. Identification of proteins from proteomic analysis. In Cannataro M, Gaeta B, Asif Khan M, editors, Encyclopedia of bioinformatics and computational biology. Vol. 3. Amsterdam; Oxford; Cambridge: Elsevier. 2019. p. 855-870 https://doi.org/10.1016/B978-0-12-809633-8.20478-0