Evidence map›Paper›PMID 28287540›Full record

ArticleJournal of visualized experiments : JoVE2017

SILAC Based Proteomic Characterization of Exosomes from HIV-1 Infected Cells.

Collins Cheruiyot, Zemplen Pataki, Robert Williams, Bharat Ramratnam, Ming Li

Abstract readVideo-Audio Media
In one paragraph

Article in Journal of visualized experiments : JoVE, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
  5. 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.

Collins CheruiyotBrown University.
Zemplen PatakiBrown University.
Robert WilliamsBrown University.
Bharat RamratnamCOBRE Center for Cancer Research, Lifespan Laboratories, Rhode Island and Miriam Hospitals; Division of Infectious Diseases, Department of Medicine, Warren Alpert Medical School, Brown University.
Ming LiDivision of Infectious Diseases, Department of Medicine, Warren Alpert Medical School, Brown University; ming_li@brown.edu.

Funding

Translational ScienceP30AI042853 · NIAID · MIRIAM HOSPITAL · PI LARRY K BROWN · 1998 to 2026
$51.7M
Virology CoreP01AA019072 · NIAAA · BROWN UNIVERSITY · PI KAHLER, CHRISTOPHER W. · 2010 to 2024
$19.7M
Statistics and Data Management P20GM104317 · NIGMS · UNIVERSITY OF RHODE ISLAND · PI PAYNE, BARBARA · 2013 to 2017
$9.8M
COBRE Center for Cancer Research DevelopmentP20GM103421 · NIGMS · RHODE ISLAND HOSPITAL · PI RAMRATNAM, BHARAT · 2012 to 2013
$4.5M
Reproductive Hormones and their impact on HIV-1 acquisitionR01HD072693 · NICHD · RHODE ISLAND HOSPITAL · PI CU-UVIN, SUSAN, GUPTA, PHALGUNI · 2012 to 2016
$2.3M
Studies in HIV-1 Pathogenesis and TransmissionK24HD080539 · NICHD · RHODE ISLAND HOSPITAL · PI RAMRATNAM, BHARAT · 2014 to 2018
$807k
ARRA NIH HHSNIAAA NIH HHS P01 AA019072NIAID NIH HHS P30 AI042853NICHD NIH HHS K24 HD080539NICHD NIH HHS R01 HD072693NIGMS NIH HHS P20 GM103421NIGMS NIH HHS P20 GM104317
6 · The paper itself

Abstract

Proteomics is the large-scale analysis of proteins. Proteomic techniques, such as liquid chromatography tandem mass spectroscopy (LC-MS/MS), can characterize thousands of proteins at a time. These powerful techniques allow us to have a systemic understanding of cellular changes, especially when cells are subjected to various stimuli, such as infections, stresses, and specific test conditions. Even with recent developments, analyzing the exosomal proteome is time-consuming and often involves complex methodologies. In addition, the resultant large dataset often needs robust and streamlined analysis in order for researchers to perform further downstream studies. Here, we describe a SILAC-based protocol for characterizing the exosomal proteome when cells are infected with HIV-1. The method is based on simple isotope labeling, isolation of exosomes from differentially labeled cells, and mass spectrometry analysis. This is followed by detailed data mining and bioinformatics analysis of the proteomic hits. The resultant datasets and candidates are easy to understand and often offer a wealth of information that is useful for downstream analysis. This protocol is applicable to other subcellular compartments and a wide range of test conditions.

Indexed as

Cell CountCells, CulturedChromatography, LiquidExosomesHIV-1HumansIsotope LabelingMass SpectrometryProteomeProteomicsTandem Mass SpectrometryProteome

Identifiers

PMID28287540
PMCPMC5409197

What OpenQuestion holds

Textmetadata
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.