TY - GEN
T1 - Deciphering the Tissue-Specific Regulatory Role of Intronless Genes Across Cancers
AU - Aviña-Padilla, Katia
AU - Ramírez-Rafael, José Antonio
AU - Zambada-Moreno, Octavio
AU - Herrera-Oropeza, Gabriel Emilio
AU - Romero, Guillermo
AU - Gupta, Ishaan
AU - Hernández-Rosales, Maribel
N1 - Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2022
Y1 - 2022
N2 - Intronless genes (IGs) or single-exon genes lacking introns are found across Eukaryotes. IGs are not regulated by the splicing machinery and may be subject to lower post-transcriptional gene expression variability. Therefore, IGs might be potential candidates for biomarkers with better predictability and easier regulation as targets for therapy. Cancer is a complex disease that relies on progressive uncontrolled cell division linked with multiple dysfunctional biological processes. Tumor heterogeneity remains the most challenging feature in cancer diagnosis and treatment. Given the clinical relevance of IGs, we aim to identify their unique expression profiles and interactome, that may act as functional signatures across eight different cancers. We identified 940 protein-coding IGs in the human genome, of which about 35% were differentially expressed across the analyzed cancer datasets. Specifically, 78% of differentially expressed IGs were undergoing transcriptional reprogramming with elevated expression in tumor cells. Remarkably, in all the studied tumors, a highly conserved induction of a group of deacetylase-histones located in a region of chromosome 6 enriched in nucleosome and chromatin condensation processes. This study highlights that differentially expressed human intronless genes across cancer types are prevalent in epigenetic regulatory roles participating in specific protein-protein interaction (PPI) networks for ESCA, GBM, and LUAD tumors. We determine that IGs play a key role in the tumor phenotype at transcriptional and post-transcriptional levels, with important mechanisms such as interactomics rewiring.
AB - Intronless genes (IGs) or single-exon genes lacking introns are found across Eukaryotes. IGs are not regulated by the splicing machinery and may be subject to lower post-transcriptional gene expression variability. Therefore, IGs might be potential candidates for biomarkers with better predictability and easier regulation as targets for therapy. Cancer is a complex disease that relies on progressive uncontrolled cell division linked with multiple dysfunctional biological processes. Tumor heterogeneity remains the most challenging feature in cancer diagnosis and treatment. Given the clinical relevance of IGs, we aim to identify their unique expression profiles and interactome, that may act as functional signatures across eight different cancers. We identified 940 protein-coding IGs in the human genome, of which about 35% were differentially expressed across the analyzed cancer datasets. Specifically, 78% of differentially expressed IGs were undergoing transcriptional reprogramming with elevated expression in tumor cells. Remarkably, in all the studied tumors, a highly conserved induction of a group of deacetylase-histones located in a region of chromosome 6 enriched in nucleosome and chromatin condensation processes. This study highlights that differentially expressed human intronless genes across cancer types are prevalent in epigenetic regulatory roles participating in specific protein-protein interaction (PPI) networks for ESCA, GBM, and LUAD tumors. We determine that IGs play a key role in the tumor phenotype at transcriptional and post-transcriptional levels, with important mechanisms such as interactomics rewiring.
KW - Cancer evolutionary genomics
KW - Cancer genomics
KW - Comparative genomics
KW - Epigenetics
KW - Single-exon genes
KW - Tumor heterogeneity
UR - https://www.scopus.com/pages/publications/85131130901
U2 - 10.1007/978-3-031-06220-9_18
DO - 10.1007/978-3-031-06220-9_18
M3 - Conference contribution
AN - SCOPUS:85131130901
SN - 9783031062193
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 311
EP - 339
BT - Comparative Genomics - 19th International Conference, RECOMB-CG 2022, Proceedings
A2 - Jin, Lingling
A2 - Durand, Dannie
PB - Springer Science and Business Media Deutschland GmbH
T2 - 19th Annual RECOMB Satellite Workshop on Comparative Genomics, RECOMB-CG 2022
Y2 - 20 May 2022 through 21 May 2022
ER -