Evidence map›Paper›PMID 36136308›Full record

ArticleProteomes2022

Optimization of a Protocol for Protein Extraction from Calcified Aortic Valves for Proteomics Applications: Development of a Standard Operating Procedure.

Fábio Trindade, Ana F Ferreira, Francisca Saraiva, Diana Martins, Vera M Mendes, Carla Sousa, Cristina Gavina, Adelino Leite-Moreira, Bruno Manadas, Inês Falcão-Pires and 1 more

Abstract read
In one paragraph

Article in Proteomes, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

11 authors.

Fábio TrindadeCardiovascular R&D Centre-UnIC@RISE, Department of Surgery and Physiology, Faculty of Medicine, University of Porto, 4200-319 Porto, Portugal.ORCID 0000-0002-3415-2040
Ana F FerreiraCardiovascular R&D Centre-UnIC@RISE, Department of Surgery and Physiology, Faculty of Medicine, University of Porto, 4200-319 Porto, Portugal.
Francisca SaraivaCardiovascular R&D Centre-UnIC@RISE, Department of Surgery and Physiology, Faculty of Medicine, University of Porto, 4200-319 Porto, Portugal.
Diana MartinsCardiovascular R&D Centre-UnIC@RISE, Department of Surgery and Physiology, Faculty of Medicine, University of Porto, 4200-319 Porto, Portugal.
Vera M MendesCNC-Center for Neuroscience and Cell Biology, University of Coimbra, 3004-517 Coimbra, Portugal.
Carla SousaCardiovascular R&D Centre-UnIC@RISE, Department of Surgery and Physiology, Faculty of Medicine, University of Porto, 4200-319 Porto, Portugal.ORCID 0000-0003-2313-0775
Cristina GavinaCardiovascular R&D Centre-UnIC@RISE, Department of Surgery and Physiology, Faculty of Medicine, University of Porto, 4200-319 Porto, Portugal.ORCID 0000-0003-2553-8264
Adelino Leite-MoreiraCardiovascular R&D Centre-UnIC@RISE, Department of Surgery and Physiology, Faculty of Medicine, University of Porto, 4200-319 Porto, Portugal.ORCID 0000-0001-7808-3596
Bruno ManadasCNC-Center for Neuroscience and Cell Biology, University of Coimbra, 3004-517 Coimbra, Portugal.ORCID 0000-0002-2087-4042
Inês Falcão-PiresCardiovascular R&D Centre-UnIC@RISE, Department of Surgery and Physiology, Faculty of Medicine, University of Porto, 4200-319 Porto, Portugal.
Rui VitorinoCardiovascular R&D Centre-UnIC@RISE, Department of Surgery and Physiology, Faculty of Medicine, University of Porto, 4200-319 Porto, Portugal.ORCID 0000-0003-3636-5805

Funding

Fundação para a Ciência e Tecnologia 2021.06947.BDFundação para a Ciência e Tecnologia IF/00286/2015Fundação para a Ciência e Tecnologia POCI-01-0145-FEDER-007440Fundação para a Ciência e Tecnologia POCI-01-0145-FEDER-007628Fundação para a Ciência e Tecnologia SFRH/BD/138925/2018Fundação para a Ciência e Tecnologia UIDB/04501/2020Fundação para a Ciência e Tecnologia UIDB/04539/2020Fundação para a Ciência e Tecnologia UIDB/50006/2020Fundação para a Ciência e Tecnologia UIDB/IC/00051/2020Fundação para a Ciência e Tecnologia UIDP/00051/2020Fundação para a Ciência e Tecnologia UIDP/04539/2020National Mass Spectrometry Network (RNEM) POCI-01-0145-FEDER-402-022125 Ref. ROTEIRO/0028/2013
6 · The paper itself

Abstract

The comprehension of the pathophysiological mechanisms, the identification of druggable targets, and putative biomarkers for aortic valve stenosis can be pursued through holistic approaches such as proteomics. However, tissue homogenization and protein extraction are made difficult by tissue calcification. The reproducibility of proteome studies is key in clinical translation of the findings. Thus, we aimed to optimize a protocol for aortic valve homogenization and protein extraction and to develop a standard operating procedure (SOP), which researchers can use to maximize protein yield while reducing inter-laboratory variability. We have compared the protein yield between conventional tissue grinding in nitrogen followed by homogenization with a Potter apparatus with a more advanced bead-beating system. Once we confirmed the superiority of the latter, we further optimized it by testing the effect of beads size, the number of homogenization cycles, tube capacity, lysis buffer/tissue mass ratio, and two different lysis buffers. Optimal protein extraction was achieved with 2.8 mm zirconium dioxide beads, in two homogenization cycles, in the presence of 20 µL RIPA buffer/mg tissue, using 2 mL O-ring cryotubes. As a proof of concept of the usefulness of this SOP for proteomics, the AV proteome of men and women with aortic stenosis was characterized, resulting in the quantification of proteins across six orders of magnitude and uncovering some putative proteins dysregulated by sex.

Indexed as

aortic valvecalcificationhomogenizationprotein extractionproteomicsSOPzirconium dioxide beads

Identifiers

PMID36136308
PMCPMC9505568

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.