Special Issue "Multiomics Approaches in Biomedicine"
Deadline for manuscript submissions: 31 March 2022.
2. Federal Research and Clinical Center of Physical-Chemical Medicine, 1a, Malaya Pirogovskaya, 119435 Moscow, Russia
Interests: cancer proteomics; molecular biomarkers; proteogenomics; RNA editing; data processing in proteomics
The integration of high-throughput molecular data accompanies mass spectrometry-based proteomics from its very beginning. Up to now, the most efficient mode of proteome profiling was based on a search with the use of genomic sequence for the corresponding species. Since proteomics was able to quantify thousands of gene products, integration of transcriptome and proteome data became feasible, which provided new possibilities for system description and modelling of cellular processes. Furthermore, routine use of high-resolution mass spectrometry in proteomics made it possible to study the production of protein-coding genomic variants at the proteome level, which is especially important in cancer research, where mutations serve as drivers of malignant transformation. Integration of omics data for nucleic acids and proteins, called, sensu lato, proteogenomics, turned into a valuable instrument for biomedical research. Instruments and applications of proteogenomics are to be collected in the Special Issue.
Omics techniques that describe gene expression are currently taking the first steps towards single-cell resolution, and single-cell proteomics follows a fast growing transcriptomic approach. Thus, the cell proteogenomics is headlined with a perspective of single-cell data integration, which is not yet possible.
For this Special Issue, we invite authors to contribute original research articles, method papers, as well as review articles that will address recent developments in the area of proteogenomics in the broad sense of this term.
Potential topics include, but are not limited to, the following:
New methods of genomic, transcriptomic, and proteomic data integration;
multi-omics quantitative analysis of cellular mechanisms;
identification and functional analysis of genomic variants and mutations, particularly in cancer proteomes;
proteome recoding by post-transcriptional modifications, such as RNA editing;
genome reannotation using proteomic data;
proteomics for identification of neo-antigens;
identification and functional analysis of short open reading frames and their microproteins.
Prof. Dr. Sergei Moshkovskii
Manuscript Submission Information
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- cancer genome
- RNA editing
- post-transcriptional modification