Deciphering the Proteome in Cell Biology and Diseases
A topical collection in Cells (ISSN 2073-4409). This collection belongs to the section "Cell Methods".
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Interests: proteomics; glycoproteomics; PTM characterization; mass spectrometry; pancreatic cancer
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Topical Collection Information
Dear Colleague,
Proteins are essential functional biomolecules that participate in almost all cellular processes, and are profoundly implicated in disease settings. They form a highly organized and structured proteome that orchestrates synthetic, catalytic, and regulatory functions in the cell. The constituents of the cellular proteome, including protein identity, abundance, structure, post-translational modifications (PTMs), polymorphism, and cellular localization, dynamically and quantitatively define the phenotype and functional state of a cell. With the advances in mass spectrometry, bioinformatics, and knowledge base, proteomics has become a pivotal platform enabling the systematic study of the proteome and its functional implications in cell biology and diseases. While challenges still remain, the current state of proteomics makes it possible not only to conduct comprehensive global proteome profiling, but also hypothesis-driven targeted analysis and sophisticated site- and structure-specific PTM characterization, as well as meta-approaches for microbiome analysis. From the study of molecular mechanisms at cellular, organelle, and other subcellular levels to the characterization of various clinical specimens for facilitating disease treatment and biomarker discovery, proteomics—as part of systems biology endeavors—has been driving many new discoveries and hypotheses in the study of cell biology and disease. In this Topical Collection, we welcome the submission of original research or review articles aiming at the broad field of basic, translational, and clinical research using proteomic approaches.
Dr. Sheng Pan
Collection Editor
Manuscript Submission Information
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Keywords
- proteomics
- mass spectrometry
- post-translational modifications
- bioinformatics
- biomarker
- proteome