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

Éva Csosz, Ferenc Tóth, Mohamed Mahdi, George Tsaprailis, Miklós Emri, József Tozsér

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

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.

Original languageEnglish
Article number398
JournalBMC bioinformatics
Volume20
Issue number1
DOIs
Publication statusPublished - Jul 17 2019

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Keywords

  • HIV-1
  • Host response
  • Quantitative proteomics
  • Weighted network

ASJC Scopus subject areas

  • Structural Biology
  • Biochemistry
  • Molecular Biology
  • Computer Science Applications
  • Applied Mathematics

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