Evidence map›Paper›PMID 32978881›Full record

ReviewProteomics. Clinical applications2021

HIV and Proteomics: What We Have Learned from High Throughput Studies.

Kinga Grabowska, Emma Harwood, Pawel Ciborowski

Abstract readReview
In one paragraph

Review in Proteomics. Clinical applications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

  1. Article
  2. Proteomic Characterization of HIV Infection.Advances in experimental medicine and biology · 2026
    Review
  3. Metabolomics of HIV in the Modern cART Era.Advances in experimental medicine and biology · 2026
    Review
  4. Article
  5. Review
  6. Review
  7. Article
  8. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Kinga GrabowskaLaboratory of Virus Molecular Biology, Intercollegiate Faculty of Biotechnology, University of Gdansk, Gdansk, 80-307, Poland.
Emma HarwoodDepartment of Pharmacology and Experimental Neuroscience, College of Medicine, University of Nebraska Medical Center, Omaha, NE, 68198-5800, USA.
Pawel CiborowskiDepartment of Pharmacology and Experimental Neuroscience, College of Medicine, University of Nebraska Medical Center, Omaha, NE, 68198-5800, USA.ORCID 0000-0001-6912-101X

Funding

Therapeutics Core (Page 286)P30MH062261 · NIMH · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI GENDELMAN, HOWARD E · 2000 to 2021
$37.7M
Macrophage, Meth, HIV and Histones: An InterplayR01DA043258 · NIDA · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI CIBOROWSKI, PAWEL S, FOX, HOWARD S · 2016 to 2020
$3.1M
NIDA NIH HHS R01 DA043258NIH HHS P30 MH062261NIH HHS R01 DA043258NIMH NIH HHS P30 MH062261
6 · The paper itself

Abstract

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.

Indexed as

HIV InfectionsProteomicsHigh-Throughput Screening AssaysHIV-1Humanshuman immunodeficiency virusinnate immunitymacrophageproteomicssystems biologyvirus

Identifiers

PMID32978881
PMCPMC7900993

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.