Evidence map›Paper›PMID 25523641›Full record

ReviewProteomics. Clinical applications2015

Coupling enrichment methods with proteomics for understanding and treating disease.

Amit Kumar, Deniz Baycin-Hizal, Joseph Shiloach, Michael A Bowen, Michael J Betenbaugh

Abstract readReview
In one paragraph

Review in Proteomics. Clinical applications, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Review
  2. Two-Dimensional Gel Electrophoresis and 2D-DIGE.Methods in molecular biology (Clifton, N.J.) · 2023
    Article
  3. Article
  4. Article
  5. Review
  6. Review
  7. 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

5 authors.

Amit KumarDepartment of Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, MD, USA; Antibody Discovery and Protein Engineering, MedImmune LLC, One MedImmune Way, Gaithersburg, MD, USA; Biotechnology Core Laboratory, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD, USA.
Deniz Baycin-Hizal
Joseph Shiloach
Michael A Bowen
Michael J Betenbaugh

Funding

JHU-UMD Diabetes Research CenterP30DK079637 · NIDDK · JOHNS HOPKINS UNIVERSITY · PI AHIMA, REXFORD S. · 2013 to 2017
$9.7M
Identification of genes related to spcific properties of mammalian cellsZIADK075080 · NIDDK · NATIONAL INSTITUTE OF DIABETES AND DIGESTIVE AND KIDNEY DISEASES · PI SHILOACH, JOSEPH · 2012 to 2022
$5.0M
Identification of genes realted to spcific properties of mammlian cellsZ01DK070010 · NIDDK · NATIONAL INSTITUTE OF DIABETES AND DIGESTIVE AND KIDNEY DISEASES · PI SHILOACH, JOSEPH · 2007 to 2008
$568k
Intramural NIH HHS Z01 DK070010
6 · The paper itself

Abstract

Owing to recent advances in proteomics analytical methods and bioinformatics capabilities there is a growing trend toward using these capabilities for the development of drugs to treat human disease, including target and drug evaluation, understanding mechanisms of drug action, and biomarker discovery. Currently, the genetic sequences of many major organisms are available, which have helped greatly in characterizing proteomes in model animal systems and humans. Through proteomics, global profiles of different disease states can be characterized (e.g. changes in types and relative levels as well as changes in PTMs such as glycosylation or phosphorylation). Although intracellular proteomics can provide a broad overview of physiology of cells and tissues, it has been difficult to quantify the low abundance proteins which can be important for understanding the diseased states and treatment progression. For this reason, there is increasing interest in coupling comparative proteomics methods with subcellular fractionation and enrichment techniques for membranes, nucleus, phosphoproteome, glycoproteome as well as low abundance serum proteins. In this review, we will provide examples of where the utilization of different proteomics-coupled enrichment techniques has aided target and biomarker discovery, understanding the drug targeting mechanism, and mAb discovery. Taken together, these improvements will help to provide a better understanding of the pathophysiology of various diseases including cancer, autoimmunity, inflammation, cardiovascular disease, and neurological conditions, and in the design and development of better medicines for treating these afflictions.

Indexed as

DiseaseAnimalsChromatography, AffinityHumansProteinsProteomeProteomicsProteinsProteomeBiomarker discoveryDrug target discoveryExosomesmAb discoveryMembrane proteomics

Identifiers

PMID25523641
PMCPMC9552549

What Socratic 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 Socratic graph.