Evidence map›Paper›PMID 29934862›Full record

ArticleMolecular and cellular biochemistry2019

Label-free quantitative proteomics analysis reveals distinct molecular characteristics in endocardial endothelium.

Abdul Jaleel, A Aneesh Kumar, G S Ajith Kumar, Arun Surendran, Chandrashekaran C Kartha

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Article in Molecular and cellular biochemistry, 2019. 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
0.5field-weighted citation impact, top 39% 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, 10 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

5 authors at 2 institutions in 1 country.

Abdul JaleelCardiovascular Diseases and Diabetes Biology, Rajiv Gandhi Centre for Biotechnology, Poojappura, Thiruvananthapuram, Kerala, 695014, India. jaleel@rgcb.res.in.ORCID http://orcid.org/0000-0003-2536-9093
A Aneesh KumarCardiovascular Diseases and Diabetes Biology, Rajiv Gandhi Centre for Biotechnology, Poojappura, Thiruvananthapuram, Kerala, 695014, India.
G S Ajith KumarCardiovascular Diseases and Diabetes Biology, Rajiv Gandhi Centre for Biotechnology, Poojappura, Thiruvananthapuram, Kerala, 695014, India.
Arun SurendranMass Spectrometry and Proteomics Core Facility, Rajiv Gandhi Centre for Biotechnology, Thiruvananthapuram, Kerala, India.
Chandrashekaran C KarthaCardiovascular Diseases and Diabetes Biology, Rajiv Gandhi Centre for Biotechnology, Poojappura, Thiruvananthapuram, Kerala, 695014, India.
Rajiv Gandhi Centre for Biotechnology · INManipal Academy of Higher Education · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Endocardial endothelium, which lines the chambers of the heart, is distinct in its origin, structure, and function. Characterization studies using genomics and proteomics have reported molecular signatures supporting the structural and functional heterogeneity of various endothelial cells. However, though functionally very important, no studies at protein level have been conducted so far characterizing endocardial endothelium. In this study, we used endothelial cells from pig heart to investigate if endocardial endothelial cells are distinct at the proteome level. Using a high-throughput liquid chromatography-tandem mass spectrometry for proteome profiling and expression, we identified sets of proteins that belong to specific biological processes and metabolic pathways in endocardial endothelial cells supporting its specific structural and functional roles. The study also identified several transcription factors and cell surface markers, which may have roles in the specificity of endocardial endothelium. The detection of sets proteins preferentially expressed in endocardial endothelium offers new insights into its role in the regulation of cardiac function. Data are made available through ProteomeXchange with identifier PXD009194.

Indexed as

AnimalsBiomarkersEndocardiumEndothelium, VascularMaleProteomeProteomicsSwineBiomarkersProteomeAortic endothelial cellsBioinformaticsEndocardial endotheliumLabel-free quantitative proteomicsTranscription Factors

Identifiers

PMID29934862
OpenAlexW2808733482

What OpenQuestion holds

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Registered trials

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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.