Special Issue "Systems Biology and Omics Approaches for Complex Human Disease"

A special issue of Biomolecules (ISSN 2218-273X). This special issue belongs to the section "Bioinformatics and Systems Biology".

Deadline for manuscript submissions: 30 October 2022 | Viewed by 1606

Special Issue Editors

Dr. Kumar Selvarajoo
E-Mail Website
Chief Guest Editor
1. Bioinformatics Institute, Agency for Science, Technology and Research, Biopolis, Singapore
2. Yong Loo Lin School of Medicine, National University of Singapore, Kent Rridge, Singapore
Interests: immune and cancer network modelling; self-organization; synthetic and systems biology; mathematical theories; data analytics; omics; non-linear dynamics
Prof. Dr. Alessandro Giuliani
E-Mail Website
Guest Editor
Environment and Health Department, Istituto Superiore di Sanità, Roma 00161, Italy
Interests: systems biology; bioinformatics; gene and protein networks; statistical mechanics; biostatistics; bio-complexity; chemo-informatics
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues, 

Living systems are highly complex and display self-organizing and emergent behaviors in their interactions with their environment. These behaviors often do not follow intuition or simple additive rules, ruling out any deterministic if-then chains. Systems biology, building up omics technologies, looks at developing a holistic view of biological systems, allowing to single out the organizing principles of biological regulation. This effort, thus, asks for an integration of different disciplines such as mathematics, computer science, physics, statistics, chemistry, and biology.

In this Special Issue, we host the latest cutting-edge and innovative research adopting integrative approaches that investigate complex human diseases from an interdisciplinary perspective.

We cordially invite scientists who feel uncomfortable with pure pattern recognition or gene list approaches and look for a renewed science integration to submit their original research (full articles or short reports), opinions, and review papers for publication in this Special Issue.

Dr. Kumar Selvarajoo
Prof. Dr. Alessandro Giuliani
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 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. Biomolecules is an international peer-reviewed open access monthly 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 2100 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

  • theories for disease modeling
  • computational modeling of biological networks
  • data-analytics of genomics, transcriptomics, proteomics, and metabolomics
  • machine learning in complex diseases
  • evolutionary methods for disease origins
  • quantitative and integrative methods for disease analysis
  • software tools for disease interpretation

Published Papers (1 paper)

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Opinion
Paradoxical Behavior of Oncogenes Undermines the Somatic Mutation Theory
Biomolecules 2022, 12(5), 662; https://doi.org/10.3390/biom12050662 - 30 Apr 2022
Viewed by 1203
Abstract
The currently accepted theory on the influence of DNA mutations on carcinogenesis (the Somatic Mutation Theory, SMT) is facing an increasing number of controversial results that undermine the explanatory power of mutated genes considered as “causative” factors. Intriguing results have demonstrated that several [...] Read more.
The currently accepted theory on the influence of DNA mutations on carcinogenesis (the Somatic Mutation Theory, SMT) is facing an increasing number of controversial results that undermine the explanatory power of mutated genes considered as “causative” factors. Intriguing results have demonstrated that several critical genes may act differently, as oncogenes or tumor suppressors, while phenotypic reversion of cancerous cells/tissues can be achieved by modifying the microenvironment, the mutations they are carrying notwithstanding. Furthermore, a high burden of mutations has been identified in many non-cancerous tissues without any apparent pathological consequence. All things considered, a relevant body of unexplained inconsistencies calls for an in depth rewiring of our theoretical models. Ignoring these paradoxes is no longer sustainable. By avoiding these conundrums, the scientific community will deprive itself of the opportunity to achieve real progress in this important biomedical field. To remedy this situation, we need to embrace new theoretical perspectives, taking the cell–microenvironment interplay as the privileged pathogenetic level of observation, and by assuming new explanatory models based on truly different premises. New theoretical frameworks dawned in the last two decades principally focus on the complex interaction between cells and their microenvironment, which is thought to be the critical level from which carcinogenesis arises. Indeed, both molecular and biophysical components of the stroma can dramatically drive cell fate commitment and cell outcome in opposite directions, even in the presence of the same stimulus. Therefore, such a novel approach can help in solving apparently inextricable paradoxes that are increasingly observed in cancer biology. Full article
(This article belongs to the Special Issue Systems Biology and Omics Approaches for Complex Human Disease)
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