Jul 2026· Research journal of biotechnology· Vol 21, pp. 128· 0 citations
TL;DR
The latest functional genomics strategies used to examine NCRNAS are discussed and their transformative ability in accurate therapy is highlighted, highlighting their transformative ability in accurate therapy.
Abstract
Noncoding RNA (NCRNA), once considered genomic
"dark matter," has emerged as an essential regulator of
gene expression and is rapidly implicated in the
pathogenesis of various human diseases. Functional
genomics has brought a revolution to our
understanding of these RNA molecules, including
microRNAs, long noncoding RNAs and circular RNAs
(circRNAs), by enabling their expression, interaction
and large-scale analysis of the regulatory network.
With the advancement of high-throughput sequencing,
CRISPR-based gene editing and transcription,
functional genomics offers a wealth of insights into how
ncRNAs contribute to the onset, progression and tissue
specificity of diseases. These approaches facilitate the
identification of NCRNA biomarkers, highlight their
epigenetic and transcriptional control mechanisms and
illustrate their interactions with DNA, RNA and
proteins. In cancer, heart, neurodegenerative and
autoimmune diseases, converted NCRNA profiles are
now recognized as a significant reorganization of
signaling pathways and cellular homeostasis.
Additionally, a functional genomics background
improves transcriptional noise, enhancing AIDS,
clinical accuracy and medical goal discovery in
separating disease-specific NCRNAs. The integration
of computational biology, machine learning and
systems biology further enhances our ability to
interpret NCRNA tasks and predict their roles in the
disease network. Despite significant progress,
challenges remain in functionally validating NCRNAs
and translating genomic data into clinical
applications. This study discusses the latest functional
genomics strategies used to examine NCRNAS and
highlights their transformative ability in accurate
therapy.
ABSTRACT Long considered transcriptional noise, noncoding RNAs (ncRNAs), including microRNAs and long noncoding RNAs (lncRNAs), are now recognized as central regulators of cellular function, acting as scaffolds, structural elements, and regulators of gene expression. This expanding functional landscape is reshaping our understanding of cancer biology, immune regulation, and the limits of translation itself. Beyond gene regulation, lncRNAs may be implicated in the earliest stages of oncogenic transformation, orchestrating molecular reprogramming and remodeling of the immune microenvironment in premalignant lesions. Their functional analysis has further exposed an unexpected translational dimension with some lncRNAs harboring open reading frames encoding micropeptides. These cryptic micropeptides constitute an underexplored dimension of the immunopeptidome that could shape T-cell development and antitumor immunity, with implications for cancer immunosurveillance and therapeutic targeting. Collectively, these findings call for a revised molecular dogma in which the noncoding genome is recognized as a major regulator of cellular function, oncogenic transformation, and immune surveillance.
Maria Lteif, Assia Hijazi, E. Morgand et al.· Oncoimmunology· 0 citations
Non-coding RNAs (ncRNAs) are the biggest class of regulatory molecules in the human genome, which constitute ~98% of total transcripts, and were once considered as “transcriptional noise”. This review will focus on the newly identified functions of non-coding RNAs (ncRNAs) in cancer biology and therapeutic innovations. We review the existing knowledge on microRNAs, long non-coding RNAs, and circular RNAs in the context of their different experimental and computational studies, and we highlight their mechanisms of action in cancer hallmarks such as proliferation and resistance to apoptosis, metastasis, and metabolic reprogramming. We evaluate the translational landscape of ncRNA-based therapeutics by examining clinical trials in progress and completed, delivery methods, and emerging technologies. This review aims to separate fact from fiction and offer a balanced view on the facts, which will help guide future research and clinical development in the field of ncRNA oncology.
Li Qiu, Zenan Xu, Jianxiong Xu et al.· Biomolecules· 0 citations
Non-coding RNAs (ncRNAs) regulate gene expression through transcriptional, post-transcriptional, and epigenetic mechanisms, shaping hallmarks of cancer, including metastasis, therapy resistance, and relapse. Carcinogenesis arises when aberrant ncRNA networks initiate malignant transformation and sustain oncogenic changes through epigenetic modifications, shifts in cell identity, failures in genome protection, metabolic changes, and alterations in the tumour microenvironment. Environmental exposures, combined with chronic inflammation, reorganise these networks early on, leading to the formation of premalignant fields and persistent epigenetic changes. The four major ncRNA classes, microRNAs (miRNAs), long non-coding RNAs (lncRNAs), circular RNAs (circRNAs), and PIWI-interacting RNAs (piRNAs) function as either oncogenes or tumour suppressors depending on the specific cancer type. Their stability, cell-type-specific expression, and presence in biofluids make them suitable candidates for biomarker discovery and liquid biopsy applications. Therapeutic strategies now include antisense oligonucleotides, small interfering RNAs, synthetic miRNA mimics, RNA aptamers, and aptamer-siRNA conjugates, which can either inhibit oncogenic ncRNAs or restore tumour-suppressive regulatory networks. CRISPR-based ncRNA modulation, including Cas9-mediated locus editing, CRISPR interference/activation, and Cas13-mediated transcript targeting, remains largely investigational because delivery, off-target activity, and an incomplete understanding of ncRNA context dependence continue to limit translation. High-throughput sequencing, single-cell transcriptomics, and computational modelling have accelerated the identification of cancer-related ncRNAs and elucidated their biological functions. This review examines how different types of ncRNAs contribute to cancer initiation, progression, and treatment resistance, and assesses their potential as diagnostic markers, prognostic factors, and therapeutic targets.
Akanksha Samuel, George A. Calin· Carcinogenesis· 0 citations
Cells in multicellular eukaryotic systems are diverse biological units, with characteristics and functions determined by their molecular profiles. CRISPR–Cas9 genome editing has been widely used across biology to modulate gene expression and study gene function. However, there is currently no versatile and scalable method for editing a cell’s genome in response to endogenous cellular signals. Here, we report the engineering of a CRISPR guide RNA that efficiently confers genome editing in response to the catalytic activity of a target microRNA (miRNA) within a cell. miRNAs are short non-coding RNAs that are widely conserved across eukaryotes and can cleave their target RNA through almost perfect base pairing. In mammals, miRNAs are largely involved in development and homeostasis as well as disease progression and developmental disorders. To leverage these properties for genome editing, we developed a cuffed guide RNA (cgRNA) which is composed of a permutated order of sequence domains from the commonly used single guide RNA (sgRNA). These permutated domains were then concatenated with a miRNA target sequence, yielding a warped guide RNA that is inactive until cleaved by a complementary miRNA. We demonstrated that cgRNA enabled efficient miRNA activity-dependent genome editing in human and mouse cell lines. Biochemical and structural analyses revealed three stages of inhibition of the CRISPR genome-editing pathway for unprocessed cgRNA. Utilizing a lentiviral library of cgRNAs containing miRNA targets covering mouse genome-wide miRNAs, we identified miRNA cleavage activities and their sequence specificities in mouse embryonic stem cells and during smooth muscle cell differentiation. Furthermore, we showed that endogenous mRNA expression could be irreversibly recorded into a DNA sequence using a cgRNA targeted by a synthetic miRNA repeat. cgRNA is a simple, robust, miRNA activity-gated genome editing system that could facilitate the development of cell state-specific genome editing, the mapping of miRNA activity and gene expression landscapes, and the recording of molecularly determined cell states during the long-term progression of multicellular systems.
Arman Adel, Yuta Shuto, Shunsuke Kawasaki et al.· bioRxiv· 0 citations
Alternative pre-mRNA splicing is a central layer of gene regulation that enables a limited number of genes to generate a far larger and more context-dependent transcriptome and proteome. In cancer, splicing is disrupted by mutations in cis-regulatory sequences, recurrent lesions in spliceosome components, altered abundance or activity of RNA-binding proteins, and changes in transcription, chromatin, RNA modification, metabolism and stress signalling. These alterations are not merely by-products of malignant transformation. They can create oncogenic protein isoforms, eliminate tumour-suppressive products, remodel cellular identity, promote metastasis and drug resistance, and generate tumour-restricted peptides that are visible to the immune system. Large pan-cancer datasets, long-read sequencing, single-cell isoform profiling, proteogenomics and functional perturbation screens are now resolving this complexity at unprecedented scale. In parallel, multiple therapeutic strategies are advancing, including modulators of the SF3B complex, molecular glues that degrade RBM39, inhibitors of protein arginine methyltransferases and splicing kinases, splice-switching oligonucleotides, programmable RNA-targeting systems, and vaccines or T-cell receptors directed against splicing-derived neoantigens. This review integrates the molecular logic of splice-site selection with the cancer-specific mechanisms that perturb it, summarizes representative isoform switches across the hallmarks of cancer, evaluates emerging technologies and clinical biomarkers, and discusses the opportunities and constraints of translating splicing biology into precision oncology. Particular emphasis is placed on tumour specificity, intratumoural heterogeneity, proteomic validation, therapeutic windows and rational combination strategies.