Evidence map›Paper›PMID 19199708›Full record

ArticleJournal of proteome research2009

Proteomic analysis of human parotid gland exosomes by multidimensional protein identification technology (MudPIT).

Mireya Gonzalez-Begne, Bingwen Lu, Xuemei Han, Fred K Hagen, Arthur R Hand, James E Melvin, John R Yates

Open access · greenAbstract read
In one paragraph

Article in Journal of proteome research, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 156 papers.

0numbers the graph read from it
0cells of the map it votes in
156citing papers in PubMed
8.4field-weighted citation impact, top 2% 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

156 citing papers in PubMed, 278 citations in OpenAlex.

  1. Trial
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  10. CAP superfamily proteins in human: a new target for cancer therapy.Medical oncology (Northwood, London, England) · 2024
    Review
  11. Review
  12. Article
  13. Salivary Extracellular Vesicles: Biomarkers and Beyond in Human Diseases.International journal of molecular sciences · 2023
    Review
  14. Article
  15. Article
  16. Size-exclusion chromatography for the characterization of urinary extracellular vesicles.Journal of chromatography. B, Analytical technologies in the biomedical and life sciences · 2023
    Article
  17. Article
  18. Article
  19. Article
  20. Review

96 more citing papers are in PubMed but not listed here.

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 3 institutions in 1 country.

Mireya Gonzalez-BegneCenter for Oral Biology, University of Rochester Medical Center, Rochester, New York 14642, USA.
Bingwen Lu
Xuemei Han
Fred K Hagen
Arthur R Hand
James E Melvin
John R Yates
UConn Health · USUniversity of Rochester Medical Center · USScripps Research Institute · US

Funding

ZDS2P REGULATES SWE1P-DEPENDENT POLARIZED CELL GROWTH IN S CEREVISIAEP41RR011823 · NCRR · UNIVERSITY OF WASHINGTON · PI DAVIS, TRACY · 1996 to 2011
$24.7M
TRAINING PROGRAM IN ORAL SCIENCET32DE007202 · NIDCR · UNIVERSITY OF ROCHESTER · PI QUIVEY, ROBERT G · 1990 to 2010
$5.5M
Catalogue of Human Salivary Secretory ComponentsU01DE016267 · NIDCR · SCRIPPS RESEARCH INSTITUTE, THE · PI YATES, JOHN ROBERT · 2004 to 2007
$5.2M
MECHANISMS OF ANION TRANSPORT PROTEINS IN SALIVARY CELLSR01DE009692 · NIDCR · UNIVERSITY OF ROCHESTER · PI MELVIN, JAMES E · 1991 to 2010
$4.7M
PHYSIOLOGY OF MUCUS-SECRETING SALIVARY GLANDSR01DE008921 · NIDCR · UNIVERSITY OF ROCHESTER · PI OVITT, CATHERINE · 1989 to 2013
$2.9M
NCRR NIH HHS P41 RR011823NIDCR NIH HHS R01 DE008921NIDCR NIH HHS R01 DE009692NIDCR NIH HHS R01 DE08921NIDCR NIH HHS R01 DE09692NIDCR NIH HHS T32 DE007202NIDCR NIH HHS T32 DE07202NIDCR NIH HHS U01 DE016267NIDCR NIH HHS UO1 DE016267
6 · The paper itself

Abstract

Human ductal saliva contributes over a thousand unique proteins to whole oral fluids. The mechanism by which most of these proteins are secreted by salivary glands remains to be determined. The present study used a mass spectrometry-based, shotgun proteomics approach to explore the possibility that a subset of the proteins found in saliva are derived from exosomes, membrane-bound vesicles of endosomal origin within multivesicular endosomes. Using MudPIT (multidimensional protein identification technology) mass spectrometry, we catalogued 491 proteins in the exosome fraction of human parotid saliva. Many of these proteins were previously observed in ductal saliva from parotid glands (265 proteins). Furthermore, 72 of the proteins in parotid exosomes overlap with those previously identified as urinary exosome proteins, proteins which are also frequently associated with exosomes from other tissues and cell types. Gene Ontology (GO) and KEGG pathway analyses found that cytosolic proteins comprise the largest category of proteins in parotid exosomes (43%), involved in such processes as phosphatidylinositol signaling system, calcium signaling pathway, inositol metabolism, protein export, and signal transduction, among others; whereas the integral plasma membrane proteins and associated/peripheral plasma membrane proteins (26%) were associated with extracellular matrix-receptor interaction, epithelial cell signaling, T-cell and B-cell receptor signaling, cytokine receptor interaction, and antigen processing and presentation, among other biological functions. In addition, these putative saliva exosomal proteins were linked to specific diseases (e.g., neurodegenerative disorders, prion disease, cancers, type I and II diabetes). Consequently, parotid glands secrete exosomes that reflect the metabolic and functional status of the gland and may also carry informative protein markers useful in the diagnosis and treatment of systemic diseases.

Indexed as

EndosomesExosomesHumansParotid GlandProteomeSalivaProteome

Identifiers

PMID19199708
PMCPMC2693447
OpenAlexW2083171893

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.