Evidence map›Paper›PMID 31516400›Full record

ArticleClinical proteomics2019

Shisheng Sun, Yingwei Hu, Minghui Ao, Punit Shah, Jing Chen, Weiming Yang, Xingwang Jia, Yuan Tian, Stefani Thomas, Hui Zhang

Open access · goldAbstract read
In one paragraph

Article in Clinical proteomics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers.

0numbers the graph read from it
0cells of the map it votes in
60citing papers in PubMed
6.0field-weighted citation impact, top 3% 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

60 citing papers in PubMed, 113 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. 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

10 authors at 1 institution in 2 countries.

Shisheng Sun *1Department of Pathology, Johns Hopkins University, Baltimore, MD 21287 USA.ORCID 0000-0002-7242-7164
Yingwei Hu *1Department of Pathology, Johns Hopkins University, Baltimore, MD 21287 USA.
Minghui Ao1Department of Pathology, Johns Hopkins University, Baltimore, MD 21287 USA.
Punit Shah1Department of Pathology, Johns Hopkins University, Baltimore, MD 21287 USA.
Jing Chen1Department of Pathology, Johns Hopkins University, Baltimore, MD 21287 USA.
Weiming Yang1Department of Pathology, Johns Hopkins University, Baltimore, MD 21287 USA.
Xingwang Jia1Department of Pathology, Johns Hopkins University, Baltimore, MD 21287 USA.
Yuan Tian1Department of Pathology, Johns Hopkins University, Baltimore, MD 21287 USA.
Stefani Thomas1Department of Pathology, Johns Hopkins University, Baltimore, MD 21287 USA.
Hui Zhang1Department of Pathology, Johns Hopkins University, Baltimore, MD 21287 USA.
Johns Hopkins University · US

Funding

Shared Resource CoresP01HL107153 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI KASS, DAVID ALAN · 2011 to 2017
$16.8M
Proteome Characterization Center: A Genoproteomics Pipeline for Cance ResearchU24CA160036 · NCI · JOHNS HOPKINS UNIVERSITY · PI CHAN, DANIEL WANYUI, ZHANG, HUI · 2011 to 2016
$10.7M
Glycoprotein biomarkers for the early detection of aggressive prostate cancerU01CA152813 · NCI · JOHNS HOPKINS UNIVERSITY · PI ZHANG, HUI · 2010 to 2021
$6.2M
The Comprehensive Proteome Characterization Center at Johns Hopkins: High Precision Discovery and Confirmation of Genoproteomic TargetsU24CA210985 · NCI · JOHNS HOPKINS UNIVERSITY · PI CHAN, DANIEL WANYUI, ZHANG, HUI · 2016 to 2020
$5.3M
Targeting Latently Infected Primary Cells using Integrated GlycoproteomicsR21AI122382 · NIAID · JOHNS HOPKINS UNIVERSITY · PI ZHANG, HUI · 2016 to 2017
$446k
NCI NIH HHS U01 CA152813NCI NIH HHS U24 CA160036NCI NIH HHS U24 CA210985NHLBI NIH HHS P01 HL107153NIAID NIH HHS R21 AI122382
6 · The paper itself

Abstract

backgroundN-linked glycoprotein is a highly interesting class of proteins for clinical and biological research. The large-scale characterization of N-linked glycoproteins accomplished by mass spectrometry-based glycoproteomics has provided valuable insights into the interdependence of glycoprotein structure and protein function. However, these studies focused mainly on the analysis of specific sample type, and lack the integration of glycoproteomic data from different tissues, body fluids or cell types.

methodsIn this study, we collected the human glycosite-containing peptides identified through their de-glycosylated forms by mass spectrometry from over 100 publications and unpublished datasets generated from our laboratory. A database resource termed

resultsThe

conclusionsThe entire human

Identifiers

PMID31516400
PMCPMC6731604
OpenAlexW2971922425

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.