Evidence map›Paper›PMID 24504115›Full record

ArticleFrontiers in biology2012

Mass Spectrometry-based Proteomics and Peptidomics for Systems Biology and Biomarker Discovery.

Robert Cunningham, Di Ma, Lingjun Li

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in biology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 2 pooled it
–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

20 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  15. Urinary Protein and Peptide Markers in Chronic Kidney Disease.International journal of molecular sciences · 2021
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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

3 authors.

Robert CunninghamDepartment of Chemistry, University of Wisconsin-Madison, 777, Highland Avenue, Madison, WI 53705-2222, USA.
Di MaSchool of Pharmacy, University of Wisconsin-Madison, 777, Highland Avenue, Madison, WI 53705-2222, USA.
Lingjun LiDepartment of Chemistry, University of Wisconsin-Madison, 777, Highland Avenue, Madison, WI 53705-2222, USA ; School of Pharmacy, University of Wisconsin-Madison, 777, Highland Avenue, Madison, WI 53705-2222, USA.

Funding

Wisconsin Alzheimer's Disease Research CenterP50AG033514 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI CHAPPELL, RICHARD J · 2009 to 2018
$16.2M
NIA NIH HHS P50 AG033514
6 · The paper itself

Abstract

The scientific community has shown great interest in the field of mass spectrometry-based proteomics and peptidomics for its applications in biology. Proteomics technologies have evolved to produce large datasets of proteins or peptides involved in various biological and disease progression processes producing testable hypothesis for complex biological questions. This review provides an introduction and insight to relevant topics in proteomics and peptidomics including biological material selection, sample preparation, separation techniques, peptide fragmentation, post-translation modifications, quantification, bioinformatics, and biomarker discovery and validation. In addition, current literature and remaining challenges and emerging technologies for proteomics and peptidomics are presented.

Indexed as

bioinformaticsbiomarker discoveryfragmentationMass spectrometrypeptidomicspost-translation modificationsprotein quantitationproteomicsreviewsample preparationseparationvalidation

Identifiers

PMID24504115
PMCPMC3913178

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.