Evidence map›Paper›PMID 28654069›Full record

ArticleJournal of visualized experiments : JoVE2017

Optimized Protocol for the Extraction of Proteins from the Human Mitral Valve.

Cristina Banfi, Anna Guarino, Maura Brioschi, Stefania Ghilardi, Valeria Mastrullo, Elena Tremoli, Gianluca Polvani

Open access · bronzeAbstract readVideo-Audio Media
In one paragraph

Article in Journal of visualized experiments : JoVE, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 91% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

7 authors at 2 institutions in 1 country.

Cristina BanfiCentro Cardiologico Monzino IRCCS; cristina.banfi@cardiologicomonzino.it.
Anna GuarinoCardiovascular Tissue Bank of Milan, Centro Cardiologico Monzino IRCCS.
Maura BrioschiCentro Cardiologico Monzino IRCCS.
Stefania GhilardiCentro Cardiologico Monzino IRCCS.
Valeria MastrulloCentro Cardiologico Monzino IRCCS.
Elena TremoliCentro Cardiologico Monzino IRCCS.
Gianluca PolvaniCardiovascular Tissue Bank of Milan, Centro Cardiologico Monzino IRCCS; Department of Clinical Sciences and Community Health, Cardiovascular Section, University of Milan; Department of Cardiovascular Disease, Development and Innovation Cardiac Surgery Unit, Centro Cardiologico Monzino IRCCS.
Centro Cardiologico Monzino · ITUniversity of Milan · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Analysis of the cellular proteome can help to elucidate the molecular mechanisms underlying diseases due to the development of technologies that permit the large-scale identification and quantification of the proteins present in complex biological systems.The knowledge gained from a proteomic approach can potentially lead to a better understanding of the pathogenic mechanisms underlying diseases, allowing for the identification of novel diagnostic and prognostic disease markers, and, hopefully, of therapeutic targets. However, the cardiac mitral valve represents a very challenging sample for proteomic analysis because of the low cellularity in proteoglycan and collagen-enriched extracellular matrix. This makes it challenging to extract proteins for a global proteomic analysis. This work describes a protocol that is compatible with subsequent protein analysis, such as quantitative proteomics and immunoblotting. This can allow for the correlation of data concerning protein expression with data on quantitative mRNA expression and non-quantitative immunohistochemical analysis. Indeed, these approaches, when performed together, will lead to a more comprehensive understanding of the molecular mechanisms underlying diseases, from mRNA to post-translational protein modification. Thus, this method can be relevant to researchers interested in the study of cardiac valve physiopathology.

Indexed as

BiomarkersHeart Valve DiseasesHumansMitral ValvePrognosisProtein Processing, Post-TranslationalProteomeProteomicsBiomarkersProteome

Identifiers

PMID28654069
PMCPMC5608423
OpenAlexW2695299491

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.