Coding vs Noncoding RNA: Key Differences and Functions

By Dr. Zubair Khalid, DVM, MS, PhD ·

Coding vs Noncoding RNA: Key Differences and Functions

Introduction to Coding and Noncoding RNA

The Central Dogma and RNA's Role

The central dogma of molecular biology describes the flow of genetic information from DNA to RNA to protein. In this framework, RNA occupies a pivotal position: it is the transient messenger that carries genetic instructions from the nucleus to the ribosome, where proteins are synthesized. For decades, the prevailing view held that RNA's primary function was to serve as this intermediary—a passive carrier of information. This perspective, however, was fundamentally incomplete.

The human genome contains roughly 20,000 protein-coding genes, yet these constitute only about 1.5% of the genome's total sequence. The remaining ~98.5% is transcribed into RNA to varying degrees, but only a fraction of that RNA ever encodes protein. This observation raises a central question: what is all this non-protein-coding RNA doing? The answer, which has emerged over the past two decades, is that noncoding RNAs are not transcriptional noise but rather functional molecules that regulate gene expression, maintain genome integrity, and coordinate complex cellular processes.

What Makes RNA 'Coding' vs 'Noncoding'

The distinction between coding and noncoding RNA is conceptually straightforward but operationally nuanced. A coding RNA—messenger RNA (mRNA)—contains an open reading frame (ORF) that is translated into protein by the ribosome. The ORF begins with a start codon (typically AUG, encoding methionine) and ends with one of three stop codons (UAA, UAG, or UGA). The sequence between these codons determines the amino acid sequence of the encoded protein.

A noncoding RNA, by definition, lacks a functional ORF. It does not serve as a template for protein synthesis. This does not mean noncoding RNAs are functionless; rather, their function is exerted at the RNA level itself—through base-pairing with other nucleic acids, through binding to proteins, or through structural roles in ribonucleoprotein complexes.

It is important to note that the coding/noncoding boundary is not always absolute. Some transcripts annotated as noncoding contain short ORFs that produce small functional peptides. Conversely, some mRNAs contain regulatory elements in their untranslated regions (UTRs) that function in an RNA-level capacity independent of their protein-coding role. The classification, therefore, is best understood as a functional designation rather than a strict binary.

Coding RNA: Messenger RNA (mRNA)

mRNA Structure and Modifications

Messenger RNA is the archetypal coding RNA. Its structure is optimized for two tasks: stability in the cytoplasm and efficient translation by ribosomes. A mature eukaryotic mRNA possesses five key features:

  1. 5′ cap: A 7-methylguanosine cap added co-transcriptionally to the first nucleotide. This cap protects the transcript from 5′→3′ exonucleolytic degradation, promotes ribosome binding, and is required for splicing and polyadenylation.
  1. 5′ untranslated region (5′ UTR): The sequence between the cap and the start codon. This region contains regulatory elements that influence translation efficiency, including internal ribosome entry sites (IRESs) in some mRNAs and upstream open reading frames (uORFs) that can attenuate translation of the main ORF.
  1. Open reading frame (ORF): The protein-coding sequence, beginning with the start codon and ending with a stop codon. The ORF is the defining feature of a coding RNA.
  1. 3′ untranslated region (3′ UTR): The sequence between the stop codon and the poly(A) tail. This region contains binding sites for microRNAs and RNA-binding proteins that regulate mRNA stability and translation. The 3′ UTR length varies widely; the average human 3′ UTR is approximately 1,000 nucleotides, but some exceed 10,000 nucleotides.
  1. Poly(A) tail: A stretch of 50–250 adenine residues added post-transcriptionally by poly(A) polymerase. The poly(A) tail enhances mRNA stability, facilitates nuclear export, and promotes translation initiation.

Before a pre-mRNA becomes a mature mRNA, it undergoes several processing steps in the nucleus. The most significant is splicing, during which introns are removed and exons are joined. Alternative splicing—the differential inclusion or exclusion of exons—allows a single gene to produce multiple mRNA isoforms with distinct coding sequences and regulatory elements. It is estimated that over 95% of human multi-exon genes undergo alternative splicing, vastly expanding the proteomic complexity encoded by a relatively small number of genes.

Additional modifications include RNA editing, in which specific nucleotides are enzymatically altered (e.g., adenosine-to-inosine deamination by ADAR enzymes), and the incorporation of modified nucleotides such as N6-methyladenosine (m6A), which influences mRNA stability, splicing, and translation.

Translation: From mRNA to Protein

Translation is the process by which the ribosome reads the mRNA sequence and synthesizes a polypeptide. This process occurs in three phases:

Initiation: The small ribosomal subunit (40S in eukaryotes) binds to the 5′ cap of the mRNA via the cap-binding complex eIF4F. The 40S subunit then scans along the 5′ UTR in a 5′→3′ direction until it encounters the first AUG codon in a favorable context (the Kozak consensus sequence, GCCRCCAUGG in vertebrates). The initiator methionyl-tRNA (Met-tRNAi) base-pairs with the AUG codon, and the large ribosomal subunit (60S) joins to form the 80S initiation complex.

Elongation: The ribosome moves along the mRNA in the 5′→3′ direction, reading codons in the A (aminoacyl), P (peptidyl), and E (exit) sites. Aminoacyl-tRNAs, charged with their cognate amino acids by aminoacyl-tRNA synthetases, enter the A site. Peptide bond formation occurs in the peptidyl transferase center of the large subunit, and the ribosome translocates by one codon, shifting the deacylated tRNA to the E site and the peptidyl-tRNA to the P site. Elongation proceeds at a rate of approximately 5–10 amino acids per second in mammalian cells.

Termination: When the ribosome encounters a stop codon (UAA, UAG, or UGA), a release factor (eRF1 in eukaryotes) recognizes the codon and triggers hydrolysis of the peptidyl-tRNA bond, releasing the completed polypeptide. The ribosome then dissociates from the mRNA.

The efficiency of translation is not uniform across all mRNAs. Sequence features in the 5′ UTR, codon usage within the ORF, and the availability of specific tRNAs all influence translation rates. Additionally, the process of RNA Degradation is intimately linked to translation: mRNAs that are actively translated are generally protected from degradation, while those that stall or are targeted by regulatory RNAs are rapidly degraded.

Noncoding RNA: An Overview

Noncoding RNAs (ncRNAs) are a heterogeneous collection of transcripts that do not encode proteins. They are broadly classified into two categories: housekeeping ncRNAs, which are constitutively expressed and perform essential cellular functions, and regulatory ncRNAs, which modulate gene expression in response to developmental or environmental cues.

Housekeeping ncRNAs: rRNA and tRNA

Ribosomal RNA (rRNA) is the most abundant RNA in the cell, constituting approximately 80% of total cellular RNA. In eukaryotes, four rRNA species—28S, 5.8S, 5S, and 18S—form the structural and catalytic core of the ribosome. The 28S, 5.8S, and 18S rRNAs are transcribed as a single 45S precursor by RNA polymerase I, while the 5S rRNA is transcribed separately by RNA polymerase III. rRNA is extensively modified—over 200 modified nucleotides exist in human rRNA—with modifications guided by small nucleolar RNAs (snoRNAs). The ribosome is a ribozyme: peptide bond formation is catalyzed by the 28S rRNA, not by ribosomal proteins.

Transfer RNA (tRNA) serves as the adaptor molecule that links the genetic code to amino acids. Each tRNA is 70–90 nucleotides long and folds into a cloverleaf secondary structure with three stem-loops and an acceptor stem. The anticodon loop base-pairs with the mRNA codon, while the 3′ end carries the cognate amino acid attached by aminoacyl-tRNA synthetases. tRNAs undergo extensive post-transcriptional tRNA Modification, including base methylation, pseudouridylation, and the addition of the CCA sequence at the 3′ end. These modifications are essential for proper folding, stability, and accurate codon recognition.

Regulatory ncRNAs: miRNA, siRNA, lncRNA

MicroRNAs (miRNAs) are small (~22 nucleotide) RNAs that regulate gene expression post-transcriptionally. They are transcribed by RNA polymerase II as primary miRNAs (pri-miRNAs), processed in the nucleus by the Drosha/DGCR8 complex to precursor miRNAs (pre-miRNAs) of ~70 nucleotides, exported to the cytoplasm by Exportin-5, and cleaved by Dicer to produce the mature miRNA duplex. One strand of the duplex is loaded into the RNA-induced silencing complex (RISC), where it guides the complex to complementary sequences in target mRNAs, typically in the 3′ UTR. Perfect complementarity leads to mRNA cleavage, while partial complementarity—the norm in animals—leads to translational repression and mRNA destabilization.

Small interfering RNAs (siRNAs) are similar in size to miRNAs but are typically derived from exogenous double-stranded RNA (e.g., viral RNA) or from endogenous long hairpin transcripts. siRNAs show perfect complementarity to their targets and direct mRNA cleavage via the Argonaute protein Ago2.

Long noncoding RNAs (lncRNAs) are defined as transcripts greater than 200 nucleotides that lack protein-coding potential. Over 50,000 human lncRNA genes have been annotated, though the vast majority remain functionally uncharacterized. lncRNAs are expressed at lower levels than mRNAs on average, show greater tissue specificity, and are enriched in the nucleus. They function through diverse mechanisms, including chromatin remodeling, transcriptional regulation, and scaffolding of protein complexes. For a comprehensive overview, see Non Coding RNA.

Other notable classes include Small Nuclear RNA (snRNA), which are components of the spliceosome; Piwi RNA (piRNA), which silence transposable elements in the germline; and circular RNAs (circRNAs), which are formed by back-splicing and can act as miRNA sponges.

Key Differences Between Coding and Noncoding RNA

Sequence and Structural Features

The most fundamental difference between coding and noncoding RNA is the presence of an ORF. However, several additional features distinguish the two classes:

FeatureCoding RNA (mRNA)Noncoding RNA
Open reading framePresent; translated into proteinAbsent or non-functional
LengthTypically 1–10 kbHighly variable; lncRNAs average ~2 kb, miRNAs ~22 nt
Evolutionary conservationHigh conservation in coding sequence; lower in UTRsVariable; some lncRNAs show strong conservation, many are poorly conserved
Expression levelGenerally high; often cell-type specificGenerally lower; often highly tissue-specific
Sequence constraintConstrained by codon usage and protein functionConstrained by secondary structure and functional motifs
Subcellular localizationPrimarily cytoplasmic for translationNuclear or cytoplasmic depending on class
5′ cap and poly(A) tailPresent on most mRNAsPresent on most lncRNAs; absent on some classes (e.g., circRNAs)

Sequence analysis can often distinguish coding from noncoding transcripts. Coding transcripts show a codon usage bias that reflects the amino acid composition of the encoded protein, and they exhibit a characteristic pattern of nucleotide substitution—synonymous substitutions are more common than nonsynonymous ones because the latter are selected against. Noncoding transcripts, by contrast, show no such codon bias and often contain multiple stop codons in all three reading frames.

Functional Outcomes: Protein vs Regulatory Roles

The ultimate functional difference is the product: coding RNAs produce proteins, while noncoding RNAs act as RNA. This distinction has profound consequences for how each class is studied and understood.

Coding RNAs have a well-defined, quantifiable output—the protein. The function of an mRNA can be inferred from the function of its protein product, and genetic variants that alter the coding sequence can be interpreted in terms of their effects on protein structure and function.

Noncoding RNAs, by contrast, exert their effects through a variety of mechanisms that are often context-dependent. A single lncRNA might act as a scaffold in one cell type, a decoy in another, and a guide for chromatin-modifying complexes in a third. This functional plasticity makes ncRNAs challenging to study but also positions them as versatile regulators capable of integrating diverse signals.

Mechanisms of Noncoding RNA Action

Transcriptional Regulation by lncRNAs

Long noncoding RNAs regulate transcription through several well-characterized mechanisms:

Chromatin remodeling: lncRNAs can recruit chromatin-modifying complexes to specific genomic loci. The classic example is XIST, a 17 kb lncRNA that initiates X-chromosome inactivation in female mammals. XIST is transcribed from the future inactive X chromosome and coats that chromosome in cis, recruiting the Polycomb repressive complex 2 (PRC2), which deposits the repressive histone mark H3K27me3. This leads to heterochromatin formation and transcriptional silencing of most genes on that chromosome.

Transcriptional interference: A lncRNA transcribed from a promoter region can interfere with the transcription of a nearby gene by competing for RNA polymerase II or by altering the local chromatin environment. For example, the yeast lncRNA SRG1 is transcribed through the promoter of the SER3 gene, preventing transcription factor binding and repressing SER3 expression.

Enhancer function: Some lncRNAs are transcribed from enhancer regions and contribute to enhancer activity. These enhancer RNAs (eRNAs) can promote chromatin looping between enhancers and promoters, stabilizing the interaction and enhancing target gene transcription.

Decoy function: lncRNAs can sequester transcription factors or other regulatory proteins away from their DNA binding sites. For instance, the lncRNA PANDA binds the transcription factor NF-YA, preventing it from activating pro-apoptotic gene expression.

Many of these mechanisms involve interactions with RNA Binding Protein complexes, and the specificity of lncRNA function is often determined by its ability to fold into defined secondary and tertiary structures that create protein-binding surfaces.

Post-transcriptional Regulation by miRNAs

MicroRNAs are the best-characterized post-transcriptional regulators. The canonical mechanism proceeds as follows:

  1. Target recognition: The miRNA, loaded into the RISC, recognizes target mRNAs primarily through base-pairing between the miRNA "seed region" (nucleotides 2–8) and complementary sequences in the mRNA 3′ UTR. A single miRNA can target hundreds of different mRNAs, and a single mRNA can be targeted by multiple miRNAs.
  1. Translational repression: The RISC, containing the miRNA and Argonaute protein, inhibits translation initiation by competing with eIF4F for cap binding or by preventing 60S subunit joining.
  1. mRNA deadenylation and decay: The RISC recruits the CCR4-NOT deadenylase complex, which shortens the poly(A) tail. This promotes decapping and 5′→3′ mRNA degradation. In mammals, mRNA destabilization is the dominant effect, accounting for most of the observed reduction in protein output.
  1. Localization to P-bodies: miRNA-targeted mRNAs are often concentrated in processing bodies (P-bodies), cytoplasmic foci enriched in mRNA decay machinery. Whether P-bodies are sites of active degradation or storage remains debated.

The importance of miRNA-mediated regulation is underscored by the observation that mice lacking Dicer—the enzyme required for miRNA biogenesis—die early in embryonic development. Similarly, mutations in miRNA genes or their target sites are associated with numerous human diseases, including cancer.

Methods to Study Coding and Noncoding RNAs

High-Throughput Sequencing

RNA sequencing (RNA-seq) is the standard method for identifying and quantifying both coding and noncoding transcripts. The typical workflow involves:

  1. RNA extraction: Total RNA is isolated from cells or tissues. For mRNA and lncRNA analysis, ribosomal RNA is depleted (using probes against rRNA) or poly(A) selection is performed to enrich for polyadenylated transcripts. Note that many lncRNAs are not polyadenylated, so rRNA depletion is preferred for comprehensive lncRNA discovery.
  1. Library preparation: RNA is fragmented, converted to cDNA, and ligated to sequencing adapters. Strand-specific libraries preserve the orientation of the transcript, which is essential for distinguishing sense from antisense transcription.
  1. Sequencing: Illumina sequencing typically generates 50–150 bp paired-end reads, yielding 20–50 million reads per sample for standard gene expression analysis.
  1. Bioinformatics analysis: Reads are aligned to the reference genome using splice-aware aligners such as STAR or HISAT2. Transcript abundance is quantified as transcripts per million (TPM). Differential expression analysis identifies transcripts that change between conditions.

For identification of novel noncoding transcripts, additional computational filters are applied: transcripts must lack a significant ORF, show low coding potential (assessed by tools like CPC2 or PhyloCSF), and be distinct from known protein-coding genes.

Functional Assays: Knockdown and Overexpression

Determining the function of a noncoding RNA requires perturbing its expression and observing the phenotypic consequences.

Knockdown: The most common approach is RNA interference using small interfering RNAs (siRNAs) or short hairpin RNAs (shRNAs). For lncRNAs, which are often nuclear and structured, Antisense Oligonucleotide (ASO) approaches are frequently more effective. ASOs are single-stranded DNA molecules, typically 15–20 nucleotides long, that are complementary to the target RNA. They recruit RNase H, which cleaves the RNA strand of the DNA-RNA duplex, leading to target degradation. ASOs can also be used to block specific functional domains without degrading the entire transcript.

Overexpression: Transient transfection of plasmid or viral vectors expressing the ncRNA of interest can reveal gain-of-function phenotypes. For lncRNAs, the full-length transcript is typically expressed from a heterologous promoter, and the subcellular localization of the overexpressed RNA is verified to ensure it matches the endogenous pattern.

CRISPR-based approaches: CRISPR-Cas9 can be used to delete lncRNA genes or to insert a transcriptional stop signal. More sophisticated approaches include CRISPR interference (CRISPRi), which uses a catalytically dead Cas9 fused to a transcriptional repressor (KRAB) to silence transcription, and CRISPR activation (CRISPRa), which uses dCas9 fused to transcriptional activators (VP64) to upregulate expression. These approaches have the advantage of perturbing the endogenous locus rather than introducing an exogenous construct.

Common Pitfalls in Distinguishing Coding from Noncoding RNAs

The Myth of 'Junk' RNA

A persistent misconception is that noncoding RNAs are "junk" or transcriptional noise. This view is demonstrably incorrect. While it is true that many annotated lncRNAs lack demonstrated function, a substantial and growing number have been experimentally validated as functional. The ENCODE project estimated that over 80% of the human genome is transcribed, and while much of this transcription may be non-functional, the fraction that is functional is far from negligible.

The "junk" label also obscures the evolutionary logic of noncoding RNA. Many lncRNAs show conserved secondary structures, conserved promoter regions, and cell-type-specific expression patterns—features that are hallmarks of functional elements. The absence of a protein product does not imply the absence of function.

Misinterpreting Open Reading Frames

A common error in bioinformatics is classifying a transcript as noncoding based solely on the absence of a long ORF. This approach is flawed for several reasons:

  1. Short ORFs can encode functional peptides: Many transcripts annotated as lncRNAs contain short ORFs (sORFs) of fewer than 100 codons that produce functional peptides. For example, the myoregulin peptide, encoded by a putative lncRNA, regulates muscle calcium handling by inhibiting SERCA.
  1. ORF length is not a reliable criterion: The minimum ORF length for a functional protein is not fixed. Some functional proteins are shorter than 50 amino acids, and the arbitrary cutoff of 100 codons used by many annotation pipelines will miss these.
  1. Translation does not always imply function: Some ORFs are translated but produce non-functional peptides. Conversely, some transcripts with ORFs are not translated under normal conditions.

The gold standard for confirming noncoding status is ribosome profiling (Ribo-seq), which identifies the mRNA regions actually bound by ribosomes. Transcripts with no ribosome footprints in the putative ORF are unlikely to be translated.

Overlapping Coding and Noncoding Features

The boundaries between coding and noncoding RNA are blurred by several phenomena:

Dual-function transcripts: Some RNAs function both as mRNAs and as regulatory RNAs. For example, the transcript encoding the transcription factor p53 also contains a 3′ UTR element that regulates its own translation in response to stress.

Pseudogenes: Pseudogenes are nonfunctional copies of protein-coding genes. However, some pseudogenes have acquired regulatory functions as lncRNAs or as sources of endogenous siRNAs.

Antisense transcription: Many protein-coding genes produce antisense transcripts that regulate the sense gene. These antisense transcripts are noncoding but overlap with coding regions, complicating annotation.

The practical lesson is that classification requires experimental validation, not just sequence analysis. A transcript should be classified as noncoding only after demonstrating that it does not produce a functional protein.

Practical Summary and Exam Tips

Key Takeaways

  • Coding RNA (mRNA) carries genetic information from DNA to the ribosome, where it is translated into protein. Noncoding RNA functions at the RNA level, regulating gene expression through diverse mechanisms.
  • The defining feature of coding RNA is the open reading frame, which begins with a start codon and ends with a stop codon.
  • Major classes of noncoding RNA include rRNA and tRNA (housekeeping) and miRNA, siRNA, lncRNA, and piRNA (regulatory).
  • Noncoding RNAs regulate gene expression at multiple levels: chromatin structure (lncRNAs), transcription (lncRNAs), mRNA stability and translation (miRNAs), and RNA processing (snRNAs).
  • The coding/noncoding distinction is not absolute; some transcripts have dual functions, and some annotated noncoding RNAs produce functional small peptides.
  • Studying noncoding RNAs requires specialized methods, including RNA-seq with rRNA depletion, ASO-mediated knockdown, and CRISPR-based perturbation.

Study Strategies

When preparing for exams on this topic, focus on understanding the mechanisms rather than memorizing lists. For each class of noncoding RNA, ask: How is it produced? How does it act? What is its biological significance?

Useful mnemonics:

  • "Coding makes protein, noncoding makes regulation" — the fundamental distinction.
  • "miRNA targets mRNA" — remember that miRNAs are small (~22 nt) and act post-transcriptionally.
  • "XIST inactivates X" — XIST is the archetypal lncRNA that silences one X chromosome in females.

Common exam questions include:

  • Compare and contrast the mechanisms of miRNA and siRNA action.
  • Describe the steps of mRNA processing and explain the function of each modification.
  • Explain how a lncRNA can regulate gene expression at the chromatin level.
  • Given a transcript sequence, determine whether it is likely coding or noncoding.

Frequently Asked Questions

What is the main difference between coding and noncoding RNA?

The main difference is functional: coding RNA (mRNA) serves as the template for protein synthesis, while noncoding RNA functions as an RNA molecule without being translated into protein. Structurally, coding RNA contains an open reading frame (ORF) with start and stop codons, whereas noncoding RNA lacks a functional ORF.

Are all noncoding RNAs regulatory?

No. Many noncoding RNAs are housekeeping molecules with constitutive functions. Ribosomal RNA (rRNA) and transfer RNA (tRNA) are essential for translation but are not regulatory in the sense of modulating gene expression in response to signals. Small nuclear RNAs (snRNAs) are structural components of the spliceosome. Regulatory noncoding RNAs—such as miRNAs, siRNAs, and many lncRNAs—represent a subset of the noncoding transcriptome.

Can noncoding RNA code for small proteins?

Yes. Some transcripts annotated as noncoding contain short open reading frames (sORFs) that are translated into functional peptides. For example, the myoregulin peptide, encoded by a putative lncRNA, regulates SERCA activity in muscle. Ribosome profiling studies have identified hundreds of such translated sORFs, suggesting that the coding potential of the genome is greater than previously appreciated.

How do microRNAs regulate gene expression?

MicroRNAs are loaded into the RNA-induced silencing complex (RISC) and guide it to target mRNAs through base-pairing between the miRNA seed region (nucleotides 2–8) and complementary sequences in the mRNA 3′ UTR. This binding leads to translational repression and mRNA destabilization, primarily through recruitment of the CCR4-NOT deadenylase complex, which shortens the poly(A) tail and promotes mRNA degradation.

What techniques are used to identify noncoding RNAs?

RNA sequencing (RNA-seq) with ribosomal RNA depletion is the primary method for identifying noncoding transcripts. Computational pipelines assess coding potential using ORF length, codon conservation, and sequence features. Functional characterization requires perturbation experiments, including siRNA/shRNA knockdown, antisense oligonucleotide (ASO) treatment, CRISPR-Cas9 deletion, and CRISPR interference (CRISPRi) or activation (CRISPRa).

Why is it important to study noncoding RNA?

Noncoding RNAs regulate virtually every aspect of gene expression, from chromatin structure to mRNA stability. They are implicated in development, differentiation, and disease. Many lncRNAs and miRNAs are aberrantly expressed in cancer, and some serve as diagnostic biomarkers or therapeutic targets. Understanding noncoding RNA biology is essential for a complete picture of gene regulation and for developing RNA-based therapeutics.

Do noncoding RNAs have a poly-A tail?

Many do, but not all. Most long noncoding RNAs (lncRNAs) are transcribed by RNA polymerase II and are polyadenylated, similar to mRNAs. However, some noncoding RNAs lack poly(A) tails: ribosomal RNA and transfer RNA are not polyadenylated, and circular RNAs (circRNAs) lack both a 5′ cap and a poly(A) tail. The presence or absence of a poly(A) tail is therefore not a reliable criterion for distinguishing coding from noncoding RNA.

Further Reading

  • Hashemi M et al. Association between genetic polymorphisms of long noncoding RNA H19 and cancer risk: a meta-analysis. Journal of genetics. 2019. PubMed 31544800
  • Pan X et al. Long Noncoding RNA PVT1 as a Potent Predictor of Prognosis in Cancers: a Meta-Analysis. Clinical laboratory. 2017. PubMed 29035442
  • Guo JC et al. Protein-coding genes combined with long noncoding RNA as a novel transcriptome molecular staging model to predict the survival of patients with esophageal squamous cell carcinoma. Cancer communications (London, England). 2018. PubMed 29784063
  • Li M et al. Differentially expressed protein-coding genes and long noncoding RNA in early-stage lung cancer. Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine. 2015. PubMed 26178480
  • Fan YC et al. Association of long noncoding RNA MEG3 genetic variants with the risk of diabetic neuropathy. International journal of medical sciences. 2025. PubMed 40765563
  • Li X, Sun S, Zhang H. RNA sequencing reveals differential long noncoding RNA expression profiles in bacterial and viral meningitis in children. BMC medical genomics. 2024. PubMed 38347610

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