Evidence map›Paper›PMID 21061196›Full record

ArticleJournal of physiology and biochemistry2011

Nuclear protein extraction from frozen porcine myocardium.

Diederik W D Kuster, Daphne Merkus, Huub J J Jorna, Dick H W Dekkers, Dirk J Duncker, Adrie J M Verhoeven

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In one paragraph

Article in Journal of physiology and biochemistry, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.4field-weighted citation impact, top 36% 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

4 citing papers in PubMed, 11 citations in OpenAlex.

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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

6 authors at 1 institution in 1 country.

Diederik W D KusterDepartment of Biochemistry, Cardiovascular Research Institute COEUR, Erasmus University Medical Center, PO Box 2040, 3000 CA Rotterdam, The Netherlands.
Daphne Merkus
Huub J J Jorna
Dick H W Dekkers
Dirk J Duncker
Adrie J M Verhoeven
Erasmus MC · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Protocols for the extraction of nuclear proteins have been developed for cultured cells and fresh tissue, but sometimes only frozen tissue is available. We have optimized the homogenization procedure and subsequent fractionation protocol for the preparation of nuclear protein extracts from frozen porcine left ventricular (LV) tissue. This method gave a highly reproducible protein yield (6.5±0.7% of total protein; mean±SE, n=9) and a 6-fold enrichment of the nuclear marker protein B23. The nuclear protein extracts were essentially devoid of cytosolic, myofilament, and histone proteins. Compared to nuclear extracts from fresh LV tissue, some loss of nuclear proteins to the cytosolic fraction was observed. Using this method, we studied the distribution of tyrosine phosphorylated signal transducer and activator of transcription 3 (PY-STAT3) in LV tissue of animals treated with the β-agonist dobutamine. Upon treatment, PY-STAT3 increased 30.2±8.5-fold in total homogenates, but only 6.9±2.1-fold (n=4, P=0.03) in nuclear protein extracts. Of all PY-STAT3 formed, only a minor fraction appeared in the nuclear fraction. This simple and reproducible protocol yielded nuclear protein extracts that were highly enriched in nuclear proteins with almost complete removal of cytosolic and myofilament proteins. This nuclear protein extraction protocol is therefore well-suited for nuclear proteome analysis of frozen heart tissue collected in biobanks.

Indexed as

AnimalsMyocardiumNuclear ProteinsPhosphorylationProteomeSTAT3 Transcription FactorSwineTyrosineNuclear ProteinsProteomeSTAT3 Transcription FactorTyrosine

Identifiers

PMID21061196
OpenAlexW2126228020

What OpenQuestion holds

Textmetadata
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.