Evidence map›Paper›PMID 22807456›Full record

ArticleProteomics2012

Quantitative proteomic analysis of exosomes from HIV-1-infected lymphocytic cells.

Ming Li, Jason M Aliotta, John M Asara, Lynne Tucker, Peter Quesenberry, Michelle Lally, Bharat Ramratnam

Abstract read
In one paragraph

Article in Proteomics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
1.3field-weighted citation impact, top 21% of its field
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

29 citing papers in PubMed, 45 citations in OpenAlex.

  1. Extracellular Vesicles: The Invisible Heroes and Villains of COVID-19 Central Neuropathology.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    Review
  2. Review
  3. Article
  4. Article
  5. Article
  6. The Role of Viral Proteins in the Regulation of Exosomes Biogenesis.Frontiers in cellular and infection microbiology · 2021
    Review
  7. Review
  8. Review
  9. Article
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  11. Review
  12. Article
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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

7 authors at 4 institutions in 1 country.

Ming LiDepartment of Medicine, Rhode Island and Miriam Hospitals, Warren Alpert Medical School of Brown University, Providence, RI, USA.
Jason M Aliotta
John M Asara
Lynne Tucker
Peter Quesenberry
Michelle Lally
Bharat Ramratnam
Brown University · USMiriam Hospital · USRhode Island Hospital · USBeth Israel Deaconess Medical Center · US

Funding

VectorP30CA006516 · NCI · DANA-FARBER CANCER INSTITUTE · PI A. Heather Eliassen · 1985 to 2026
$330.6M
Translational ScienceP30AI042853 · NIAID · MIRIAM HOSPITAL · PI LARRY K BROWN · 1998 to 2026
$51.7M
Tuberous Sclerosis-Pathway and PathogenesisP01CA120964 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI David J. Kwiatkowski · 2007 to 2026
$35.9M
Virology CoreP01AA019072 · NIAAA · BROWN UNIVERSITY · PI BECKER, SARA · 2010 to 2024
$19.7M
UCP2 expression in colon cancerP20RR017695 · NCRR · RHODE ISLAND HOSPITAL (PROVIDENCE, RI) · PI MILLS, DAVID · 2002 to 2011
$15.0M
HIV and Other Infectious Consequences of Substance UseT32DA013911 · NIDA · MIRIAM HOSPITAL · PI TRACI C GREEN, JOSIAH D RICH · 2001 to 2026
$9.6M
TYORISINE PHOSPHATASE SHP2 IN HEMATOPOIETIC STEM CELL PROPERTY MAINTENANCEP20RR025179 · NCRR · RHODE ISLAND HOSPITAL · PI ALIOTTA, JASON M · 2009 to 2011
$6.4M
COBRE Center for Cancer Research DevelopmentP20GM103421 · NIGMS · RHODE ISLAND HOSPITAL · PI RAMRATNAM, BHARAT · 2012 to 2013
$4.5M
Genetic information transfer to hematopoietic cells: Role of microvesiclesR01HL103726 · NHLBI · RHODE ISLAND HOSPITAL · PI QUESENBERRY, PETER J. · 2011 to 2014
$1.5M
NCI NIH HHS 5P01CA120964-04NCI NIH HHS 5P30CA006516-46NCI NIH HHS P01 CA120964NCI NIH HHS P30 CA006516NCRR NIH HHS P20 RR017695NCRR NIH HHS P20RR017695NCRR NIH HHS P20 RR025179NCRR NIH HHS P20RR025179NHLBI NIH HHS R01 HL103726NIAAA NIH HHS P01 AA019072NIAID NIH HHS P30 AI042853NIAID NIH HHS P30AI042853-13S1NIDA NIH HHS T32 DA013911NIDA NIH HHS T32DA013911NIGMS NIH HHS P20 GM103421NIGMS NIH HHS P20GM103421
6 · The paper itself

Abstract

HIV-1 infection causes profound effects both inside and outside of cells through multiple mechanisms, including those mediated by exosomes. Using the technique of stable isotope labeling by amino acids in cell culture, we compared protein expression patterns in the exosomal compartment of HIV-1-infected and -uninfected lymphocytic H9 cells. Of 770 proteins identified in two independent sets of exosomal samples, 14 proteins were found to be differentially expressed in the exosomal fraction of HIV-1-infected cells versus -uninfected controls. Gene Ontology survey and DAVID analysis revealed that identified proteins were enriched for functional categories such as binding. Of these 14 proteins, three immunomodulatory molecules were reproducibly identified in both replicates and included ADP-ribosyl cyclase 1 (CD38), L-lactate dehydrogenase B chain (LDHB), and Annexin A5 (ANXA5). In addition to previously reported HIV-1 associations with CD38 and LDHB, new interactions were identified and validated for ANXA5, CD38, and LDHB, which were found to bind to HIV-1 p24 and Tat. In summary, our studies reveal that exosomes released from HIV-1-infected cells are composed of a unique and quantitatively different protein signature and harbor regulatory molecules that impact the processes of cellular apoptosis (ANXA5 and LDHB) and proliferation (CD38).

Indexed as

Host-Pathogen InteractionsCell LineExosomesgag Gene Products, Human Immunodeficiency VirusGene Products, tatHIV-1HIV InfectionsHumansLymphocytesProteinsProteomicsgag Gene Products, Human Immunodeficiency VirusGene Products, tatProteins

Identifiers

PMID22807456
PMCPMC3815571
OpenAlexW2023257875

What OpenQuestion holds

Textmetadata
LicenceTDM
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.