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Proteomic analysis of HIV–T cell interaction: an update

This mini-review summarizes techniques applied in, and results obtained with, proteomic studies of human immunodeficiency virus type 1 (HIV-1)–T cell interaction. Our group previously reported on the use of two-dimensional differential gel electrophoresis (2D-DIGE) coupled to matrix assisted laser-d...

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Autores principales: Kramer, Gertjan, Moerland, Perry D., Jeeninga, Rienk E., Vlietstra, Wytze J., Ringrose, Jeffrey H., Byrman, Carsten, Berkhout, Ben, Speijer, Dave
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Research Foundation 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3389432/
https://www.ncbi.nlm.nih.gov/pubmed/22783244
http://dx.doi.org/10.3389/fmicb.2012.00240
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author Kramer, Gertjan
Moerland, Perry D.
Jeeninga, Rienk E.
Vlietstra, Wytze J.
Ringrose, Jeffrey H.
Byrman, Carsten
Berkhout, Ben
Speijer, Dave
author_facet Kramer, Gertjan
Moerland, Perry D.
Jeeninga, Rienk E.
Vlietstra, Wytze J.
Ringrose, Jeffrey H.
Byrman, Carsten
Berkhout, Ben
Speijer, Dave
author_sort Kramer, Gertjan
collection PubMed
description This mini-review summarizes techniques applied in, and results obtained with, proteomic studies of human immunodeficiency virus type 1 (HIV-1)–T cell interaction. Our group previously reported on the use of two-dimensional differential gel electrophoresis (2D-DIGE) coupled to matrix assisted laser-desorption time of flight peptide mass fingerprint analysis, to study T cell responses upon HIV-1 infection. Only one in three differentially expressed proteins could be identified using this experimental setup. Here we report on our latest efforts to test models generated by this data set and extend its analysis by using novel bioinformatic algorithms. The 2D-DIGE results are compared with other studies including a pilot study using one-dimensional peptide separation coupled to MS(E), a novel mass spectrometric approach. It can be concluded that although the latter method detects fewer proteins, it is much faster and less labor intensive. Last but not least, recent developments and remaining challenges in the field of proteomic studies of HIV-1 infection and proteomics in general are discussed.
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spelling pubmed-33894322012-07-10 Proteomic analysis of HIV–T cell interaction: an update Kramer, Gertjan Moerland, Perry D. Jeeninga, Rienk E. Vlietstra, Wytze J. Ringrose, Jeffrey H. Byrman, Carsten Berkhout, Ben Speijer, Dave Front Microbiol Microbiology This mini-review summarizes techniques applied in, and results obtained with, proteomic studies of human immunodeficiency virus type 1 (HIV-1)–T cell interaction. Our group previously reported on the use of two-dimensional differential gel electrophoresis (2D-DIGE) coupled to matrix assisted laser-desorption time of flight peptide mass fingerprint analysis, to study T cell responses upon HIV-1 infection. Only one in three differentially expressed proteins could be identified using this experimental setup. Here we report on our latest efforts to test models generated by this data set and extend its analysis by using novel bioinformatic algorithms. The 2D-DIGE results are compared with other studies including a pilot study using one-dimensional peptide separation coupled to MS(E), a novel mass spectrometric approach. It can be concluded that although the latter method detects fewer proteins, it is much faster and less labor intensive. Last but not least, recent developments and remaining challenges in the field of proteomic studies of HIV-1 infection and proteomics in general are discussed. Frontiers Research Foundation 2012-07-04 /pmc/articles/PMC3389432/ /pubmed/22783244 http://dx.doi.org/10.3389/fmicb.2012.00240 Text en Copyright © Kramer, Moerland, Jeeninga, Vlietstra, Ringrose, Byrman, Berkhout and Speijer. http://www.frontiersin.org/licenseagreement This is an open-access article distributed under the terms of the Creative Commons Attribution Non Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) , which permits non-commercial use, distribution, and reproduction in other forums, provided the original authors and source are credited.
spellingShingle Microbiology
Kramer, Gertjan
Moerland, Perry D.
Jeeninga, Rienk E.
Vlietstra, Wytze J.
Ringrose, Jeffrey H.
Byrman, Carsten
Berkhout, Ben
Speijer, Dave
Proteomic analysis of HIV–T cell interaction: an update
title Proteomic analysis of HIV–T cell interaction: an update
title_full Proteomic analysis of HIV–T cell interaction: an update
title_fullStr Proteomic analysis of HIV–T cell interaction: an update
title_full_unstemmed Proteomic analysis of HIV–T cell interaction: an update
title_short Proteomic analysis of HIV–T cell interaction: an update
title_sort proteomic analysis of hiv–t cell interaction: an update
topic Microbiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3389432/
https://www.ncbi.nlm.nih.gov/pubmed/22783244
http://dx.doi.org/10.3389/fmicb.2012.00240
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