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Non-coding RNA

Non-coding RNA research explores RNA molecules that do not encode proteins but regulate gene expression, chromatin state, RNA stability, translation, signaling pathways, and disease-associated molecular programs.

Non-coding RNA Research

Research Overview

Non-coding RNAs are central regulators of cellular identity, gene expression, development, and disease. They include long non-coding RNAs, microRNAs, circular RNAs, small regulatory RNAs, and other RNA species that influence transcriptional, post-transcriptional, and epigenetic regulation.

At PanorOmics, non-coding RNA is presented as a major transcriptomic research area: a regulatory layer connecting genome function, epigenomics, RNA expression, cancer biology, biomarker discovery, and precision medicine.

Core Research Areas

Long Non-coding RNA

Studying lncRNAs that regulate chromatin organization, transcription, RNA processing, signaling pathways, and disease-associated gene regulation.

MicroRNA Regulation

Analyzing microRNAs that control post-transcriptional gene expression by targeting messenger RNAs and shaping regulatory networks.

Circular RNA Biology

Investigating circular RNAs as stable regulatory molecules involved in gene expression control, RNA binding, and disease biology.

Non-coding RNA Biomarkers

Using non-coding RNA signatures to support disease classification, prognosis, therapeutic response prediction, and precision medicine research.

Non-coding RNA Technologies

RNA-seq

Sequencing-based transcriptome profiling used to detect and quantify coding and non-coding RNA species across biological samples.

Small RNA-seq

Specialized sequencing of small RNA molecules such as microRNAs, piRNAs, and other short regulatory RNAs.

Total RNA-seq

Ribo-depleted RNA sequencing that captures a broader range of coding and non-coding transcripts beyond polyadenylated RNA.

Single-cell RNA-seq

Single-cell transcriptomics used to study non-coding RNA expression patterns across individual cells and cell states.

qPCR / RT-qPCR

Targeted validation and quantification of specific non-coding RNAs in research and clinical biomarker studies.

Non-coding RNA Modalities

Long Non-coding RNA Profiling

Measures lncRNA expression patterns and their association with biological regulation, disease states, and molecular pathways.

MicroRNA Profiling

Quantifies microRNAs involved in post-transcriptional regulation, disease biology, and biomarker discovery.

Circular RNA Analysis

Identifies circular RNAs formed through back-splicing and evaluates their regulatory and biomarker potential.

Small RNA Analysis

Profiles short regulatory RNA species involved in gene silencing, genome defense, and post-transcriptional control.

Competing Endogenous RNA Networks

Models interactions among lncRNAs, circular RNAs, microRNAs, and mRNAs within regulatory RNA networks.

Clinical ncRNA Signatures

Uses non-coding RNA patterns to classify disease, predict outcomes, and support translational biomarker research.

Related transcriptomic approaches such as RNA expression, RNA sequencing, and alternative splicing are explored across the Transcriptomics Research Center.

Landmark Non-coding RNA Milestones

1993

MicroRNA Discovery

The discovery of lin-4 revealed that small non-coding RNAs can regulate gene expression.

2000–2001

MicroRNA Field Expansion

The discovery of let-7 and broader microRNA conservation established microRNAs as important regulators across species.

2002–Present

Long Non-coding RNA Biology

Large-scale transcriptomic studies revealed that many non-coding transcripts participate in gene regulation, chromatin control, and disease biology.

2012–Present

Circular RNA Research

Circular RNAs emerged as stable regulatory RNA molecules with roles in gene expression control, RNA binding, and biomarker discovery.

2013–Present

Competing Endogenous RNA Networks

ceRNA models connected lncRNAs, circular RNAs, microRNAs, and mRNAs into broader post-transcriptional regulatory networks.

2015–Present

Single-cell Non-coding RNA Analysis

Single-cell transcriptomics began revealing cell-type-specific non-coding RNA expression patterns and regulatory programs.

Present

AI-Assisted Non-coding RNA Interpretation

AI increasingly supports non-coding RNA annotation, target prediction, regulatory network modeling, and biomarker discovery.

Featured Publications

The C. elegans Heterochronic Gene lin-4 Encodes Small RNAs

Lee, Feinbaum & Ambros
Cell • 1993

The 21-Nucleotide let-7 RNA Regulates Developmental Timing

Reinhart et al.
Nature • 2000

Identification of Novel Genes Coding for Small Expressed RNAs

Lagos-Quintana et al.
Science • 2001

The miRNA Registry

Griffiths-Jones
Nucleic Acids Research • 2004

Circular RNAs Are a Large Class of Animal RNAs

Memczak et al.
Nature • 2013

A ceRNA Hypothesis

Salmena et al.
Cell • 2011
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