Molecular Pathways in Medicine and Cell Models of Disease
A special issue of Cells (ISSN 2073-4409). This special issue belongs to the section "Cellular Pathology".
Deadline for manuscript submissions: closed (15 December 2023) | Viewed by 5708
Special Issue Editor
2. Group for Genomic Analysis of Cell Signaling Systems, Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry, 117997 Moscow, Russia
3. Institute of Personalized Medicine, I.M. Sechenov First Moscow State Medical University, 119991 Moscow, Russia
4. Omicsway Corp., Walnut, CA 91789, USA
Interests: systems biology; omics molecular medicine; personalized oncology; molecular diagnostics of cancer; targeted therapy
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Molecular pathways are currently the next level of omics data analysis. Interrogation of molecular pathways using gene expression data has become almost a one-click instrument such as in the Oncobox Pathway Databank open resource (https://open.oncobox.com/auth/sign-in). In addition to transcriptomics and proteomics, epigenomics and emerging fields like advanced metabolomics have many valuable options to offer to an overall concept of omics-based science. Thus, it is important to link recent developments in this domain with medicine and cell-based disease models to improve diagnosis, prognosis, and treatment options. In this research collection, submission of manuscripts strongly encouraged that deal with (especially invited, but not limited to):
- New methods of molecular pathway analysis with applications to clinical or cell-based disease model research
- Emerging sources of data for the assessment of molecular pathways with links to medicine and cell-based disease models
- Applications of Big data and Machine Learning/AI to molecular pathway analysis with link to clinical oncology
- Advantages of using molecular pathways as the actionable alternative to single-gene approach in medicine and cell-based disease models
- Building complex multi-omics in silico models of disease development and drug resistance.
Both research and review articles are welcome. For bioinformatic papers, effort should be made not to restrict the analysis to a single source of data such as the TCGA database, and to include as many independent validation cohorts as possible. In all manuscripts, special attention must be given to statistical assessment such as adjustment to false-discovery rate and tests for randomness of intersections, when applicable.
Prof. Dr. Anton Buzdin
Guest Editor
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 submissions that pass pre-check are 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. Cells 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 2700 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.
Keywords
- systems biology
- omics molecular medicine
- molecular and cellular biology
- molecular pathways analysis
- targeted therapy
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