Decoding Cancer Transcriptome Non-Coding RNAs and Beyond
A special issue of Cells (ISSN 2073-4409). This special issue belongs to the section "Cell Proliferation and Division".
Deadline for manuscript submissions: closed (30 August 2022) | Viewed by 2574
Special Issue Editor
Interests: de-regulated non-coding RNAs in gastrointestinal cancers; DNA methylation in pancreatic cancer; targeting long non-coding RNAs for cancer treatment; mechanisms of chemoresistance in hepatocellular carcinoma; cancer progression and metastasis; tumour-stroma interactions; systems biology; high-throughput approaches.
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Special Issue Information
Dear Colleagues,
The discovery of non-coding RNAs has revitalized the biology field, from the basic to translational research spectrum. Non-coding RNAs (ncRNAs) are functional molecules that are not translated into proteins and comprise almost the 80% of mammalian transcriptome. They have been categorized into different classes, mostly depending on their genomic location, cellular localization, and their size.
NcRNAs are master regulators of gene expression at the transcriptional and/or post-transcriptional level and play fundamental roles in development, tissue/cellular homeostasis, and human pathophysiology. It is now established that ncRNAs work in concert with other epigenetic mechanisms, including DNA methylation and histone modifications, to control gene expression and regulate cancer initiation, growth, and metastasis. Given their cell- and tissue-specific expression patterns, many ncRNAs have emerged as a potential biomarker and therapeutic tool in many types of cancer.
This issue focuses on cutting-edge research across different types of ncRNAs, relevant to cancer and cancer inflammation. We invite authors to submit original, meta-analyses and review articles on basic research, translational and cancer diagnosis or treatment.
Dr. Maria Hatziapostolou
Guest Editor
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Keywords
- non-coding RNAs (ncRNAs)
- microRNAs (miRNAs)
- long non-coding RNAs (LncRNAs)
- circular RNAs (circRNAs)
- transcriptomic analyses
- cancer diagnosis-biomarkers
- cancer treatment
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