Label-Free Proteome Profiling

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Topic Editors

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Department of Molecular Medicine and Medical Biotechnology, School of Medicine, University of Naples Federico II, 80131 Naples, Italy

Dr. Alessio Soggiu

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Department of Biomedical, Surgical and Dental Sciences-One Health Unit, School of Medicine, University of Milan, Via Pascal 36, 20133 Milan, Italy

Label-Free Proteome Profiling

Abstract submission deadline

closed (15 December 2022)

Manuscript submission deadline

closed (15 March 2023)

Viewed by

2824

Topic Information

Dear Colleagues,

The accurate determination of quantitative changes describing biological systems has attracted considerable interest from the scientific community. Biological processes are regulated through the abundance of proteins. In addition, the relative abundance of each protein in a complex system may influence the modulation of its activity and function. Over the past decade, mass-spectrometry-based proteomics has become an indispensable tool in deciphering the exact abundance of each protein in composite mixtures. Indeed, the fast development of mass-spectrometry-based proteomic technologies and the accessibility of powerful data analysis tools have increasingly boosted the transition of proteomic analysis from qualitative to quantitative, with a strong impact on the biological interpretation of protein functions. The described technological improvement, such as the advent of new high-resolution instruments, has allowed us to overcome classical, label-based quantitative approaches and use proteomics to move toward label-free techniques.

This Topical Collection invites original and interesting contributions of quantitative proteomic studies and aims to describe the translational applicability of label-free proteomic profiling in a wide range of scientific fields. However, the Topical Collection is also open to discussions about the methodological progress linked to quantitative proteomics to facilitate the sharing of experimental and technical details in terms of methodological conditions and bioinformatic analysis.

Dr. Marianna Caterino
Dr. Alessio Soggiu
Topic Editors

Participating Journals

Journal Name

Impact Factor

CiteScore

Launched Year

First Decision (median)

APC

Molecules

4.6

6.7

1996

13.6 Days

CHF 2700

Proteomes

3.3

5.7

2013

25.8 Days

CHF 1600

Preprints

https://www.preprints.org

Published Papers (1 paper)

14 pages, 2053 KiB

Open AccessArticle

Insight of the Functional and Biological Activities of Coconut (Cocos nucifera L.) Protein by Proteomics Analysis and Protein-Based Bioinformatics

and

Molecules 2022, 27(9), 2987; https://doi.org/10.3390/molecules27092987 - 06 May 2022

Cited by 6 | Viewed by 1763

Abstract

Coconut (Cocos nucifera L.) is one of the most critical economic crops in the tropics and sub-tropics. Although coconut protein has attracted more and more attention due to its nutritional potential, the lack of proteomic information has limited its practical application. The present study aimed to investigate the coconut meat proteome by shotgun proteomics and protein-based bioinformatic analysis. A grand total of 1686 proteins were identified by searching the National Center for Biotechnology Information (NCBI) protein database and self-constructed C. nucifera transcriptome repository. Among them, 17 and 9 proteins were identified as antioxidant proteins and globulins, respectively. Network analysis of the globulins referred to the sub-works of Cupin and Oleosin, and the antioxidant proteins were related to the sub-networks of glutathione metabolism and peroxisome. The bioactive peptides acquired by in-silico digestion of the targeted proteins have the potential to be applied as antioxidants and emulsifiers for both healthcare and food stabilization. Full article

(This article belongs to the Topic Label-Free Proteome Profiling)

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