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Protein-protein interactions: switch from classical methods to proteomics and bioinformatics-based approaches

Protein-protein interactions: switch from classical methods to proteomics and bioinformatics-based approaches
Protein-protein interactions: switch from classical methods to proteomics and bioinformatics-based approaches
Following the sequencing of the human genome and many other organisms, research on protein-coding genes and their functions (functional genomics) has intensified. Subsequently, with the observation that proteins are indeed the molecular effectors of most cellular processes, the discipline of proteomics was born. Clearly, proteins do not function as single entities but rather as a dynamic network of team players that have to communicate. Though genetic (yeast two-hybrid Y2H) and biochemical methods (co-immunoprecipitation Co-IP, affinity purification AP) were the methods of choice at the beginning of the study of protein-protein interactions (PPI), in more recent years there has been a shift towards proteomics-based methods and bioinformatics-based approaches. In this review, we first describe in depth PPIs and we make a strong case as to why unraveling the interactome is the next challenge in the field of proteomics. Furthermore, classical methods of investigation of PPIs and structure-based bioinformatics approaches are presented. The greatest emphasis is placed on proteomic methods, especially native techniques that were recently developed and that have been shown to be reliable. Finally, we point out the limitations of these methods and the need to set up a standard for the validation of PPI experiments.
1420-682X
[24pp.]
Ngounou Wetie, Armand G.
e36682e2-4c7f-44a3-8568-6f15179cb741
Sokolowska, Izabela
84bfb4df-4577-4497-a906-55043725e3ff
Woods, Alisa G.
edf4f7b3-ab1d-4443-8eaa-6ab2f24114fc
Roy, Urmi
a1542b3a-0541-4150-92a8-556918730be9
Deinhardt, Katrin
5f4fe23b-2317-499f-ba6d-e639a4885dc1
Darie, Costel C.
d5a4c384-25cc-4211-b991-b4fa8ec5c88b
Ngounou Wetie, Armand G.
e36682e2-4c7f-44a3-8568-6f15179cb741
Sokolowska, Izabela
84bfb4df-4577-4497-a906-55043725e3ff
Woods, Alisa G.
edf4f7b3-ab1d-4443-8eaa-6ab2f24114fc
Roy, Urmi
a1542b3a-0541-4150-92a8-556918730be9
Deinhardt, Katrin
5f4fe23b-2317-499f-ba6d-e639a4885dc1
Darie, Costel C.
d5a4c384-25cc-4211-b991-b4fa8ec5c88b

Ngounou Wetie, Armand G., Sokolowska, Izabela, Woods, Alisa G., Roy, Urmi, Deinhardt, Katrin and Darie, Costel C. (2013) Protein-protein interactions: switch from classical methods to proteomics and bioinformatics-based approaches. Cellular and Molecular Life Sciences, [24pp.]. (doi:10.1007/s00018-013-1333-1). (PMID:23579629)

Record type: Article

Abstract

Following the sequencing of the human genome and many other organisms, research on protein-coding genes and their functions (functional genomics) has intensified. Subsequently, with the observation that proteins are indeed the molecular effectors of most cellular processes, the discipline of proteomics was born. Clearly, proteins do not function as single entities but rather as a dynamic network of team players that have to communicate. Though genetic (yeast two-hybrid Y2H) and biochemical methods (co-immunoprecipitation Co-IP, affinity purification AP) were the methods of choice at the beginning of the study of protein-protein interactions (PPI), in more recent years there has been a shift towards proteomics-based methods and bioinformatics-based approaches. In this review, we first describe in depth PPIs and we make a strong case as to why unraveling the interactome is the next challenge in the field of proteomics. Furthermore, classical methods of investigation of PPIs and structure-based bioinformatics approaches are presented. The greatest emphasis is placed on proteomic methods, especially native techniques that were recently developed and that have been shown to be reliable. Finally, we point out the limitations of these methods and the need to set up a standard for the validation of PPI experiments.

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More information

Published date: 12 April 2013
Organisations: Centre for Biological Sciences

Identifiers

Local EPrints ID: 351182
URI: http://eprints.soton.ac.uk/id/eprint/351182
ISSN: 1420-682X
PURE UUID: 6c1e322c-695e-4c84-9c53-de7f37ea75a4
ORCID for Katrin Deinhardt: ORCID iD orcid.org/0000-0002-6473-5298

Catalogue record

Date deposited: 16 Apr 2013 10:45
Last modified: 15 Mar 2024 03:45

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Contributors

Author: Armand G. Ngounou Wetie
Author: Izabela Sokolowska
Author: Alisa G. Woods
Author: Urmi Roy
Author: Costel C. Darie

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