Evidence map›Paper›PMID 28391008›Full record

ReviewGenomics, proteomics & bioinformatics2017

Recent 5-year Findings and Technological Advances in the Proteomic Study of HIV-associated Disorders.

Lijun Zhang, Xiaofang Jia, Jun-O Jin, Hongzhou Lu, Zhimi Tan

Abstract readReview
In one paragraph

Review in Genomics, proteomics & bioinformatics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
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

5 authors.

Lijun ZhangShanghai Public Health Clinical Center, Fudan University, Shanghai 201508, China. Electronic address: zhanglijun1221@163.com.
Xiaofang JiaShanghai Public Health Clinical Center, Fudan University, Shanghai 201508, China.
Jun-O JinShanghai Public Health Clinical Center, Fudan University, Shanghai 201508, China.
Hongzhou LuShanghai Public Health Clinical Center, Fudan University, Shanghai 201508, China.
Zhimi TanShanghai Public Health Clinical Center, Fudan University, Shanghai 201508, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Human immunodeficiency virus-1 (HIV-1) mainly relies on host factors to complete its life cycle. Hence, it is very important to identify HIV-regulated host proteins. Proteomics is an excellent technique for this purpose because of its high throughput and sensitivity. In this review, we summarized current technological advances in proteomics, including general isobaric tags for relative and absolute quantitation (iTRAQ) and stable isotope labeling by amino acids in cell culture (SILAC), as well as subcellular proteomics and investigation of posttranslational modifications. Furthermore, we reviewed the applications of proteomics in the discovery of HIV-related diseases and HIV infection mechanisms. Proteins identified by proteomic studies might offer new avenues for the diagnosis and treatment of HIV infection and the related diseases.

Indexed as

HIV InfectionsHumansProteinsProteomicsProteinsHIV-1InteractioniTRAQProteomicsSILAC

Identifiers

PMID28391008
PMCPMC5415375

What OpenQuestion holds

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LicenceCC BY
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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.