Evidence map›Paper›PMID 21335433›Full record

ReviewCirculation research2011

Divide and conquer: the application of organelle proteomics to heart failure.

Giulio Agnetti, Cathrine Husberg, Jennifer E Van Eyk

Abstract readReview
In one paragraph

Review in Circulation research, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

  1. Proteomics of the heart.Physiological reviews · 2024
    Review
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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.

Giulio AgnettiJohns Hopkins Bayview Proteomic Center, John Hopkins University, Baltimore, MD 21224, USA.
Cathrine Husberg
Jennifer E Van Eyk

Funding

Pathobiology of Cardiac Dyssynchrony &ResynchronizationP01HL077180 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI KASS, DAVID ALAN · 2004 to 2014
$22.8M
SCLERODERMA-ASSOCIATED PAHP50HL084946 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI BLUEMKE, DAVID A. · 2007 to 2011
$20.6M
NHLBI PROTEOMICS INITIATIVE-N01HV28180-268028180-268028180N01HV028180 · HV · JOHNS HOPKINS UNIVERSITY · PI VAN EYK, JENNIFER E · 2002 to 2006
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NHLBI NIH HHS HHSN268201000032CNHLBI NIH HHS HV-10-05NHLBI NIH HHS N01 HV028180NHLBI NIH HHS P01 HL077180NHLBI NIH HHS P01-HL077180NHLBI NIH HHS P50 HL084946NHLBI NIH HHS P50 HL 084946-01
6 · The paper itself

Abstract

Chronic heart failure is a worldwide cause of mortality and morbidity and is the final outcome of a number of different etiologies. This reflects both the complexity of the disease and our incomplete understanding of its underlying molecular mechanisms. One experimental approach to address this is to study subcellular organelles and how their functions are activated and synchronized under physiological and pathological conditions. In this review, we discuss the application of proteomic technologies to organelles and how this has deepened our perception of the cellular proteome and its alterations with heart failure. The use of proteomics to monitor protein quantity and posttranslational modifications has revealed a highly intricate and sophisticated level of protein regulation. Posttranslational modifications have the potential to regulate organelle function and interplay most likely by targeting both structural and signaling proteins throughout the cell, ultimately coordinating their responses. The potentials and limitations of existing proteomic technologies are also discussed emphasizing that the development of novel methods will enhance our ability to further investigate organelles and decode intracellular communication.

Indexed as

AnimalsEnergy MetabolismHeart FailureHumansOrganellesProtein Processing, Post-TranslationalProteomicsSecond Messenger SystemsSignal Transduction

Identifiers

PMID21335433
PMCPMC3936251

What OpenQuestion holds

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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.