Proteomic analysis of HIV–T cell interaction: an update

G. Kramer; P.D. Moerland; R.E. Jeeninga; W.J. Vlietstra; J.H. Ringrose; C. Byrman; B. Berkhout; D. Speijer

doi:10.3389/fmicb.2012.00240

Proteomic analysis of HIV–T cell interaction: an update

G. Kramer, P.D. Moerland, R.E. Jeeninga, W.J. Vlietstra, J.H. Ringrose, C. Byrman, B. Berkhout, D. Speijer

Artificial Intelligence

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Abstract

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

Original language	English
Journal	Frontiers in Microbiology
DOIs	https://doi.org/10.3389/fmicb.2012.00240
Publication status	Published - 2012

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title = "Proteomic analysis of HIV–T cell interaction: an update",

abstract = "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",

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AU - Kramer, G.

AU - Moerland, P.D.

AU - Jeeninga, R.E.

AU - Vlietstra, W.J.

AU - Ringrose, J.H.

AU - Byrman, C.

AU - Berkhout, B.

AU - Speijer, D.

PY - 2012

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AB - 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

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DO - 10.3389/fmicb.2012.00240

M3 - Article

SN - 1664-302X

JO - Frontiers in Microbiology

JF - Frontiers in Microbiology

ER -

Proteomic analysis of HIV–T cell interaction: an update

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