Special Issue “Label-Free Proteome Profiling”

A special issue of Molecules (ISSN 1420-3049). This special issue belongs to the section “Chemical Biology“.

Deadline for manuscript submissions: 30 September 2021.

Special Issue Editors

Dr. Marianna Caterino Website
Guest Editor
Department of Molecular Medicine and Medical Biotechnology, School of Medicine, University of Naples Federico II, 80131 Naples, Italy
Interests: molecular mechanism involved in inborn error of metabolism; label-free quantitative proteomics; PPI, protein–protein interaction; metabolomics; lipidomics
Prof. Alessio Soggiu Website
Guest Editor
Department of Biomedical, Surgical and Dental Sciences, via Pascal 36, 20133 Milan, Italy
Interests: proteomics of host-pathogen interaction in animal models of infection; Metaproteomics/microbiota; bacterial competition in food and in biological fluids; Zoonotic and infectious diseases; immunoproteomics
Special Issues and Collections in MDPI journals

Special Issue Information

Dear Colleagues,

The accurate determination of quantitative changes, describing the biological systems, has attracted a considerable amount of interest in 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 its 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 Special Issue invites original and interesting contributions on quantitative proteomic studies and aims to describe the translational applicability of label-free proteomic profiling in a wide range of scientific fields. However, the Special Issue is also open to discussions about the methodological progress linked to quantitative proteomics in order to facilitate the sharing of experimental and technical details in terms of methodological conditions and bioinformatic analysis.

Dr. Marianna Caterino
Dr. Alessio Soggiu
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Molecules is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2000 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI’s English editing service prior to publication or during author revisions.


  • Label-free quantitation
  • Mass spectrometry-based quantitative analysis
  • Biofluids and tissue quantitative proteomics
  • Proteome dynamics
  • Protein-protein interactions in macromolecular complexes

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