Evidence map›Paper›PMID 24723472›Full record

ReviewProteomics2014

Top-down proteomics in health and disease: challenges and opportunities.

Zachery R Gregorich, Ying Ge

Abstract readReview
In one paragraph

Review in Proteomics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 108 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
108citing papers in PubMed, 1 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

108 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Review
  8. Article
  9. Review
  10. Article
  11. Proteomics in pancreatic cancer.Biomarker research · 2025
    Review
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Review
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  19. Review
  20. Article

48 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

2 authors.

Zachery R GregorichMolecular and Cellular Pharmacology Training Program, University of Wisconsin-Madison, Madison, WI, USA; Department of Cell and Regenerative Biology, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA.
Ying Ge

Funding

Training Program In Molecular AND Cellular PharmacologyT32GM008688 · NIGMS · UNIVERSITY OF WISCONSIN-MADISON · PI AUDHYA, ANJON · 1998 to 2020
$6.0M
Deciphering Myofilament Modifications in Ischemic CardiomyopathyR01HL109810 · NHLBI · UNIVERSITY OF WISCONSIN-MADISON · PI GE, YING · 2013 to 2024
$3.5M
Top Down Proteomics Of Myofilaments In Heart FailureR01HL096971 · NHLBI · UNIVERSITY OF WISCONSIN-MADISON · PI GE, YING · 2011 to 2021
$3.3M
NHLBI NIH HHS R01 HL096971NHLBI NIH HHS R01HL096971NHLBI NIH HHS R01 HL109810NHLBI NIH HHS R01HL109810NIGMS NIH HHS T32 GM008688NIGMS NIH HHS T32GM008688
6 · The paper itself

Abstract

Proteomics is essential for deciphering how molecules interact as a system and for understanding the functions of cellular systems in human disease; however, the unique characteristics of the human proteome, which include a high dynamic range of protein expression and extreme complexity due to a plethora of PTMs and sequence variations, make such analyses challenging. An emerging "top-down" MS-based proteomics approach, which provides a "bird's eye" view of all proteoforms, has unique advantages for the assessment of PTMs and sequence variations. Recently, a number of studies have showcased the potential of top-down proteomics for the unraveling of disease mechanisms and discovery of new biomarkers. Nevertheless, the top-down approach still faces significant challenges in terms of protein solubility, separation, and the detection of large intact proteins, as well as underdeveloped data analysis tools. Consequently, new technological developments are urgently needed to advance the field of top-down proteomics. Herein, we intend to provide an overview of the recent applications of top-down proteomics in biomedical research. Moreover, we will outline the challenges and opportunities facing top-down proteomics strategies aimed at understanding and diagnosing human diseases.

Indexed as

BiomarkersMass SpectrometryProteomeProteomicsCardiovascular DiseasesCommunicable DiseasesDiabetes MellitusHumansNeoplasmsNeurodegenerative DiseasesProtein Processing, Post-TranslationalSystems BiologyBiomarkersProteomeHuman diseaseMass spectrometryProteomicsPTMsSystems biology

Identifiers

PMID24723472
PMCPMC4100610

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.