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HIV and Proteomics: What We Have Learned from High Throughput Studies
Author(s) -
Grabowska Kinga,
Harwood Emma,
Ciborowski Pawel
Publication year - 2021
Publication title -
proteomics – clinical applications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.948
H-Index - 54
eISSN - 1862-8354
pISSN - 1862-8346
DOI - 10.1002/prca.202000040
Subject(s) - proteomics , profiling (computer programming) , human immunodeficiency virus (hiv) , genomics , data science , computational biology , computer science , omics , throughput , biology , bioinformatics , genome , virology , genetics , telecommunications , gene , wireless , operating system
The accelerated development of technology over the last three decades has driven biological sciences to high‐throughput profiling experiments, now broadly referred to as systems biology. The unprecedented improvement of analytical instrumentation has opened new avenues for more complex experimental designs and expands the knowledge in genomics, proteomics, and other omics fields. Despite the collective efforts of hundreds of researchers, gleaning all the expected information from omics experiments is still quite far. This paper summarizes what has been learned from high‐throughput proteomics studies thus far, and what is believed should be done to reveal even more valuable information from such studies. It is drawn from the background in using proteomics to study human immunodeficiency virus 1 infection of macrophages and/or T cells, but it is believed that some conclusions will be more broadly applicable.