Analysis of networks of host proteins in the early time points following HIV transduction

Background: Utilization of quantitative proteomics data on the network level is still a challenge in proteomics data analysis. Currently existing models use sophisticated, sometimes hard to implement analysis techniques. Our aim was to generate a relatively simple strategy for quantitative proteomics data analysis in order to utilize as much of the data generated in a proteomics experiment as possible. Results: In this study, we applied label-free proteomics, and generated a network model utilizing both qualitative, and quantitative data, in order to examine the early host response to Human Immunodeficiency Virus type 1 (HIV-1). A weighted network model was generated based on the amount of proteins measured by mass spectrometry, and analysis of weighted networks and functional sub-networks revealed upregulation of proteins involved in translation, transcription, and DNA condensation in the early phase of the viral life-cycle. Conclusion: A relatively simple strategy for network analysis was created and applied to examine the effect of HIV-1 on host cellular proteome. We believe that our model may prove beneficial in creating algorithms, allowing for both quantitative and qualitative studies of proteome change in various biological and pathological processes by quantitative mass spectrometry.Hungarian Scientific Research Fund [NKFI-6, 125238]; Higher Education Institutional Excellence Programme of the Ministry of Human Capacities in Hungary [GINOP-2.3.3-15-2016-00020]; Janos Bolyai Research Scholarship of the Hungarian Academy of Sciences; NIEHS [ES06694]; NIH/NCI [CA023074]; BIO5 Institute of the University of Arizona; NIH/NCRR [1S10 RR028868-01]Open access journalThis item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at [email protected]