Evidence map›Paper›PMID 23983189›Full record

ArticleProteomics2013

Characterization of multiple myeloma vesicles by label-free relative quantitation.

Sean W Harshman, Alessandro Canella, Paul D Ciarlariello, Alberto Rocci, Kitty Agarwal, Emily M Smith, Tiffany Talabere, Yvonne A Efebera, Craig C Hofmeister, Don M Benson and 3 more

Open access · greenAbstract read
In one paragraph

Article in Proteomics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
2.7field-weighted citation impact, top 10% 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

26 citing papers in PubMed, 43 citations in OpenAlex.

  1. Trial
  2. Article
  3. Review
  4. Review
  5. Article
  6. Review
  7. Article
  8. Review
  9. Proteomics-inspired precision medicine for treating and understanding multiple myeloma.Expert review of precision medicine and drug development · 2020
    Article
  10. Review
  11. Review
  12. Article
  13. Extracellular vesicle-mediated cell-cell communication in haematological neoplasms.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2018
    Review
  14. Exosome mediated multidrug resistance in cancer.American journal of cancer research · 2018
    Review
  15. Article
  16. Article
  17. Review
  18. Tag-Count Analysis of Large-Scale Proteomic Data.Journal of proteome research · 2016
    Article
  19. Article
  20. 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

13 authors at 2 institutions in 2 countries.

Sean W HarshmanDepartment of Molecular Virology, Immunology and Medical Genetics, The Ohio State University, Columbus, OH, USA; Comprehensive Cancer Center, The Ohio State University, Columbus, OH, USA.
Alessandro Canella
Paul D Ciarlariello
Alberto Rocci
Kitty Agarwal
Emily M Smith
Tiffany Talabere
Yvonne A Efebera
Craig C Hofmeister
Don M Benson
Michael E Paulaitis
Michael A Freitas
Flavia Pichiorri
The Ohio State University · USAzienda Ospedaliera Citta' della Salute e della Scienza di Torino · IT

Funding

Translational Therapeutics Research Program (TT)P30CA016058 · NCI · OHIO STATE UNIVERSITY · PI Tasleem J Padamsee · 1985 to 2026
$132.3M
Selective Modulation of Thyroidal RadioiodineP01CA124570 · NCI · OHIO STATE UNIVERSITY · PI RINGEL, MATTHEW D · 2008 to 2017
$23.4M
Assays for Screening Histone Modifications in CancerR01CA107106 · NCI · OHIO STATE UNIVERSITY · PI FREITAS, MICHAEL A. · 2004 to 2013
$1.8M
CellTrap: A novel solid phase platform for analysis of stem/progenitor cellsRC2AG036559 · NIA · OHIO STATE UNIVERSITY · PI COOPER, STUART L, MOLDOVAN, NICANOR I. · 2009 to 2010
$1.3M
NCI NIH HHS P01 CA124570NCI NIH HHS P30 CA016058NCI NIH HHS R01 CA107106NIA NIH HHS RC2 AG036559
6 · The paper itself

Abstract

Multiple myeloma (MM) is a hematological malignancy caused by a microenviromentally aided persistence of plasma cells in the bone marrow. The role that extracellular vesicles (EVs), microvesicles and exosomes, released by MM cells have in cell-to-cell communication and signaling in the bone marrow is currently unknown. This paper describes the proteomic content of EVs derived from MM.1S and U266 MM cell lines. First, we compared the protein identifications between the vesicles and cellular lysates of each cell line finding a large overlap in protein identifications. Next, we applied label-free spectral count quantitation to determine proteins with differential abundance between the groups. Finally, we used bioinformatics to categorize proteins with significantly different abundances into functional groups. The results illustrate the first use of label-free spectral counting applied to determine relative protein abundances in EVs.

Indexed as

Cell ExtractsCell Line, TumorChromatography, LiquidCytoplasmic VesiclesHumansMass SpectrometryMultiple MyelomaNeoplasm ProteinsProteomicsReproducibility of ResultsStaining and LabelingCell ExtractsNeoplasm ProteinsCell biologyExosomesLabel freeLC-MS/MSMicrovesicles

Identifiers

PMID23983189
PMCPMC3835174
OpenAlexW2048351620

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.