The Relevance of the Accurate Annotation of Micro and Long Non-Coding RNA Interactions for the Development of Therapies DOI Open Access
Simona Panni

Genes, Journal Year: 2025, Volume and Issue: 16(3), P. 262 - 262

Published: Feb. 24, 2025

A large fraction of the human genome is transcribed in RNA molecules that do not encode for proteins but have a crucial role regulating almost every level gene expression and, thus, define specific phenotype each cell. These non-coding RNAs include well-characterized microRNAs and thousands less-defined longer transcripts, named long RNAs. Both types markedly affect onset progression numerous pathologies, ranging from cancer to vascular neuro-degenerative diseases. In recent years, substantial effort has been made design drugs targeting ncRNAs, promising advancements produced micro-RNA mimics inhibitors. Each ncRNA controls several targets, overall effect its inhibition or overexpression depends on function set genes it regulates. Therefore, selecting most appropriate target, predicting final outcome ncRNA-based therapies, utilize detailed accurate knowledge their functional interactions. this review, I recapitulate principal resources which collect information microRNA lncRNA networks, focusing non-homogeneity data result disparate approaches. highlight identifiers interaction evidence standardization helping user filter integrate derived different databases reliable web regulative relations.

Language: Английский

The Relevance of the Accurate Annotation of Micro and Long Non-Coding RNA Interactions for the Development of Therapies DOI Open Access
Simona Panni

Genes, Journal Year: 2025, Volume and Issue: 16(3), P. 262 - 262

Published: Feb. 24, 2025

A large fraction of the human genome is transcribed in RNA molecules that do not encode for proteins but have a crucial role regulating almost every level gene expression and, thus, define specific phenotype each cell. These non-coding RNAs include well-characterized microRNAs and thousands less-defined longer transcripts, named long RNAs. Both types markedly affect onset progression numerous pathologies, ranging from cancer to vascular neuro-degenerative diseases. In recent years, substantial effort has been made design drugs targeting ncRNAs, promising advancements produced micro-RNA mimics inhibitors. Each ncRNA controls several targets, overall effect its inhibition or overexpression depends on function set genes it regulates. Therefore, selecting most appropriate target, predicting final outcome ncRNA-based therapies, utilize detailed accurate knowledge their functional interactions. this review, I recapitulate principal resources which collect information microRNA lncRNA networks, focusing non-homogeneity data result disparate approaches. highlight identifiers interaction evidence standardization helping user filter integrate derived different databases reliable web regulative relations.

Language: Английский

Citations

0