Evidence map›Paper›PMID 23606250›Full record

ReviewMethods in molecular biology (Clifton, N.J.)2013

Systems proteomics of healthy and diseased chromatin.

Haodong Chen, Emma Monte, Thomas M Vondriska, Sarah Franklin

Abstract readReview
In one paragraph

Review in Methods in molecular biology (Clifton, N.J.), 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.6field-weighted citation impact, top 29% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Proteomics of the heart.Physiological reviews · 2024
    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

4 authors at 1 institution in 1 country.

Haodong ChenDepartment of Anesthesiology, David Geffen School of Medicine, UCLA, Los Angeles, CA, USA.
Emma Monte
Thomas M Vondriska
Sarah Franklin
University of California, Los Angeles · US

Funding

Dynamics of Cardiac Nuclei in Heart DiseaseR01HL105699 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI VONDRISKA, THOMAS M. · 2011 to 2025
$5.0M
Systems Analysis of Cardiac Chromatin StructureR01HL115238 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI VONDRISKA, THOMAS M. · 2012 to 2016
$1.9M
Reprogramming of cardiac genome by Smyd1 in hypertrophy and failureR00HL107674 · NHLBI · UNIVERSITY OF UTAH · PI FRANKLIN, SARAH · 2012 to 2014
$691k
PURCHASE OF PROTEOMIC MASS SPECTROMETRY INSTRUMENTATION: CARDIOLOGYS10RR022371 · NCRR · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI VONDRISKA, THOMAS MARTIN · 2006 to 2006
$498k
NCRR NIH HHS S10 RR022371NHLBI NIH HHS R00 HL107674NHLBI NIH HHS R01 HL105699NHLBI NIH HHS R01 HL115238
6 · The paper itself

Abstract

Differences in chromatin-associated proteins allow the same genome to participate in multiple cell types and to respond to an array of stimuli in any given cell. To understand the fundamental properties of chromatin and to reveal its cell- and/or stimulus-specific behaviors, quantitative proteomics is an essential technology. This chapter details the methods for fractionation and quantitative mass spectrometric analysis of chromatin from hearts or isolated adult myocytes, detailing some of the considerations for applications to understanding heart disease. The state-of-the-art methodology for data interpretation and integration through bioinformatics is reviewed.

Indexed as

Computational BiologyAnimalsCardiovascular DiseasesCell NucleusChemical FractionationChromatinElectrophoresis, Polyacrylamide GelGene ExpressionHumansMass SpectrometryMiceMyocardiumMyocytes, CardiacProteolysisProteomeChromatinProteome

Identifiers

PMID23606250
PMCPMC3704334
OpenAlexW1895627834

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.