Genome Organization and Regulation of Its Activity in Cancer
A special issue of International Journal of Molecular Sciences (ISSN 1422-0067). This special issue belongs to the section "Molecular Genetics and Genomics".
Deadline for manuscript submissions: closed (30 November 2022) | Viewed by 6459
Special Issue Editors
Interests: epigenetic marks; transcriptomic regulation; DNA methylation; cancer; glioma; population genetics
Special Issue Information
Dear Colleagues,
Understanding genome organization and its activity is vital for discovering the disorders in signalling pathways and biological mechanisms that lead to human diseases, including cancer development. The tightly regulated process of transcription is very often highly dysregulated in oncogenic processes. Changes in chromatin organization, activity and accessibility can lead to tremendous modifications in transcriptomic profiles. Direct alterations in DNA activity caused by abnormally methylated DNA are recognized as early oncogenic changes that have already been reported for many human cancer types. Changes in chromatin activity introduced by histone modifications or alterations in DNA methylation affect the transcription factor binding affinity to DNA sequences, which results in either the inhibition or activation of the target genes. The last decade brought a breakthrough in technological and computational advances that led to the collection of petabytes of data that were created in order to decipher the associations between elements of genome regulatory machinery and human disease development. In this Special Issue, we aim to summarize a variety of aspects of these transcription regulatory layers and present the new nature of genomic complexity and/or new methods to study genomic organization.
Dr. Michal J. Dabrowski
Dr. Bartosz Wojtas
Guest Editors
Manuscript Submission Information
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Keywords
- cancer
- chromatin organization
- computational biology
- DNA methylation
- epigenomics
- genome
- histone modifications
- molecular oncology
- transcription factors
- transcriptomics
