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Junk DNA

Junk DNA, a term coined by geneticist Susumu Ohno in 1972, refers to non-coding DNA sequences in the genome that were originally hypothesized to have no selective advantage or functional role in the organism's fitness.^[1] This concept emerged to address the C-value paradox, the observation that genome sizes vary widely across species without correlating to organismal complexity—for instance, the human genome is approximately 3.2 gigabases, while the onion's is about 16 gigabases, suggesting much of the DNA is non-functional.^[2] In humans, roughly 98% of the genome consists of non-coding DNA, including introns (approximately 26%), pseudogenes (approximately 1–2%), and transposable elements (approximately 45%).^[2]^[3] The term "junk DNA" quickly became controversial, as it implied evolutionary waste, but early evidence from genomic studies supported the idea that much of this DNA accumulates via neutral evolution and genetic drift without contributing to phenotype.^[2] Ohno's proposal was rooted in the limited number of protein-coding genes—estimated at 1.5–2.5% of the human genome—leaving the majority as potential "junk" that could proliferate without deleterious effects due to eukaryotic genome organization.^[1] However, the 2012 ENCODE project asserted that at least 80% of the human genome shows biochemical activity, sparking debates over what constitutes "function": whether it requires evolutionary selection (selected effect) or merely causal roles in cellular processes.^[1] Subsequent research has revealed that while a significant portion remains non-functional under strict evolutionary criteria, much non-coding DNA plays essential regulatory roles, such as controlling gene expression through enhancers, long non-coding RNAs, and chromatin structure maintenance.^[1] For example, non-coding sequences near the OCT4 gene regulate vertebral development, influencing body plan differences between mice and snakes by modulating spinal cord growth.^[4] These elements also contribute to mammalian development, genome stability, and responses to environmental cues, challenging the original "junk" label and highlighting exaptation—where neutral sequences gain function over time.^[2] Today, the consensus views junk DNA as a mix of truly dispensable sequences and functionally important non-coding regions that drive genomic complexity and evolution.^[1]

Definitions and Concepts

Definition of Junk DNA

Junk DNA refers to portions of the genome that lack direct protein-coding function and are presumed to evolve without significant selective pressure, allowing them to accumulate mutations freely. The term was coined by geneticist Susumu Ohno in his 1972 paper, where he described it as DNA sequences in the mammalian genome that do not encode functional polypeptides or RNAs, arising largely from gene duplications that become redundant over evolutionary time.^[5] This conceptualization emphasized the excess genomic material beyond what is necessary for basic cellular functions, highlighting a paradox in genome size variation across species. The human genome consists of approximately 98% non-coding DNA, of which junk DNA—presumed non-functional non-genic, repetitive, or intergenic regions—forms a substantial but debated portion.^[6] These regions show patterns of neutral evolution, distinguishing them from the roughly 1-2% of the genome occupied by protein-coding exons.^[7] Junk DNA is typically viewed as a subset of non-coding DNA, the latter encompassing all sequences outside of exons without implying presumed uselessness. Representative examples of junk DNA include satellite DNA, which consists of long tandem repeats clustered at centromeres and telomeres; transposons, such as LINEs and SINEs that make up about 50% of the human genome and were initially regarded as parasitic or selfish elements; and pseudogenes, which are inactivated copies of functional genes that no longer produce viable products.^[7] These components illustrate the non-informational, sequence-independent nature often attributed to junk DNA, contrasting sharply with the precise, conserved structure of exons essential for encoding amino acid sequences in proteins.

Relation to Non-Coding DNA

Non-coding DNA encompasses all genomic sequences that do not directly encode proteins, including introns, untranslated regions (UTRs), and regulatory elements such as promoters, enhancers, and silencers.^[6] In eukaryotic genomes, including humans, non-coding DNA comprises approximately 98-99% of the total DNA, with only 1-2% consisting of protein-coding genes.^[6]^[8]^[9] The concept of junk DNA emerged as a historical interpretation of much of this non-coding DNA, presuming it to be non-functional and superfluous to the organism's biology.^[1] Coined by Susumu Ohno in 1972, the term described non-protein-coding regions that appeared to lack utility, originally estimating such "junk" to constitute over 90% of the human genome based on limited gene counts at the time.^[10]^[1] Thus, junk DNA represents a subset of non-coding DNA, reflecting an early interpretive label rather than a comprehensive classification. A key distinction lies in their conceptual foundations: non-coding DNA is a descriptive category defined by the absence of protein-coding instructions, whereas junk DNA is interpretive, implying a lack of biological usefulness or contribution to fitness.^[1] Not all non-coding DNA qualifies as junk; for example, ribosomal RNA (rRNA) genes are non-coding yet essential for ribosome assembly and protein synthesis.^[11] This overlap highlights how non-coding DNA serves as an umbrella term, while junk DNA specifically denotes presumed non-functional portions within it.^[1]

Historical Development

Early Discoveries and Paradoxes

In the 1940s and 1950s, early biochemical and cytochemical techniques, such as Feulgen microspectrophotometry, enabled the first measurements of nuclear DNA content across species, revealing striking variations in genome size that defied expectations of a direct link to organismal complexity.^[12] For instance, early measurements reported the single-celled eukaryote Amoeba proteus to have a haploid genome size of approximately 290 gigabase pairs (Gbp), roughly 100 times larger than the human genome at about 3 Gbp; however, later studies revised this to around 5.4 Gbp.^[13]^[14] These findings, initially reported through photometric assays of DNA staining, highlighted that even simple protists could possess vastly more DNA than multicellular animals, prompting questions about the functional necessity of such excess genetic material. This discrepancy culminated in the formalization of the C-value paradox in 1971, named by Charles A. Thomas Jr., which described the observed lack of correlation between an organism's morphological or developmental complexity and its haploid DNA content (C-value). Thomas emphasized that while prokaryotes like Escherichia coli have compact genomes around 4.6 megabase pairs (Mbp), many eukaryotes exhibit enormous expansions; for example, certain salamanders in the genus Amphiuma possess C-values exceeding 80 picograms (pg) of DNA per haploid nucleus—over 10 times the human value of about 3.3 pg—despite lacking proportionally greater complexity.^[15] This paradox suggested that much of the DNA in eukaryotic genomes might not contribute directly to essential genetic functions, as genome sizes varied by orders of magnitude without corresponding increases in gene number or organismal sophistication. Further insights came from Cot analysis in the late 1960s, developed by Roy J. Britten and David E. Kohne, which used DNA reassociation kinetics to quantify sequence repetition and genome complexity. By denaturing DNA and measuring the rate at which complementary strands reannealed under controlled conditions (plotted as Cot curves, where Cot is the product of initial DNA concentration and time), they demonstrated that eukaryotic genomes contain vast fractions of highly repetitive sequences that reassociate rapidly (low Cot values) and moderately repetitive ones, comprising a significant fraction, such as about 45% in calf thymus DNA, distinct from slowly reassociating unique or single-copy sequences. These repetitive elements indicated that the majority of eukaryotic DNA was non-genic and reiterated many times, amplifying the puzzle of why such abundant, seemingly redundant material persisted in genomes.^[16] By the early 1970s, additional challenges to the one-gene-one-polypeptide model emerged from observations of heterogeneous nuclear RNA (hnRNA) in eukaryotic cells, which was found to be significantly longer than the mature messenger RNA (mRNA) that reaches the cytoplasm.^[17] Pioneering electron microscopy and hybridization experiments, such as those by Susan M. Berget, Claire Moore, and Phillip A. Sharp in 1977, revealed that adenovirus transcripts contained intervening sequences that were excised during processing to form functional mRNA, hinting at a discontinuous gene structure that disrupted the assumption of colinear transcription-translation. These splicing observations underscored how much of the transcribed DNA—primarily non-coding—did not directly encode proteins, reinforcing the paradoxes posed by genome size and repetition.^[17]

Origin and Evolution of the Term

The term "junk DNA" was first coined by geneticist Susumu Ohno in his 1972 paper presented at the Brookhaven Symposium in Biology, where he proposed that the vast majority of eukaryotic genomes consists of non-genic DNA without direct informational content for protein synthesis.^[5] Ohno's conceptualization built upon earlier ideas from the 1940s, particularly those of Nobel laureate Hermann J. Muller, who argued that much of the chromosomal material beyond essential genes was likely superfluous or "useless" given estimates of limited gene numbers relative to genome sizes. This notion arose in response to the C-value paradox, the observation that genome sizes vary widely across species without corresponding differences in complexity. In the 1980s and 1990s, the term gained widespread popularity through scientific literature and media, often invoked to explain apparent "genome bloat" from repetitive sequences and pseudogenes.^[18] Evolutionary biologist Richard Dawkins referenced "junk" DNA in his 1976 book The Selfish Gene, portraying it as parasitic or inert material that proliferates without benefiting the organism, thereby embedding the concept in public and academic discourse on evolution. This period saw the phrase adopted in explanations of why organisms like humans possess far more DNA than seemingly required for coding purposes, reinforcing its role as a shorthand for evolutionary byproducts. By the 2000s, the term's usage began to shift amid growing evidence of regulatory elements within non-coding regions, rendering "junk DNA" increasingly controversial among researchers. However, scientists like Dan Graur defended its application in 2013, arguing it remains apt for truly neutral sequences that neither contribute to nor detract from fitness, distinguishing them from functional or deleterious elements.^[18] This evolution reflects ongoing semantic refinement rather than outright abandonment. The term has also permeated public discourse, often leading to misconceptions that equate "junk" DNA with outright evolutionary waste or irrelevance, overshadowing nuanced scientific views on genomic neutrality. Such interpretations have influenced popular media and educational materials, sometimes amplifying debates beyond empirical evidence.

Scientific Debates

Functional vs. Non-Functional Perspectives

The debate on junk DNA revolves around two primary perspectives: the functionalist view, which posits that the majority of non-coding DNA is under purifying selection and thus contributes to organismal fitness, and the neutralist view, which argues that much of it evolves neutrally through genetic drift, accumulating as non-functional sequences.^[19] This theoretical tension shapes interpretations of genome evolution, with functionalists emphasizing selective constraints that preserve adaptive elements, while neutralists highlight the prevalence of neutral mutations fixed by random processes.^[20] From the neutralist perspective, inspired by Kimura's neutral theory of molecular evolution, most genetic variation at the molecular level arises from neutral mutations that neither benefit nor harm fitness, leading to the fixation of such changes via genetic drift.^[20] This framework explains the abundance of non-coding DNA as largely non-functional "junk," including selfish genetic elements like transposable elements that proliferate autonomously without benefiting the host genome.^[21] Orgel and Crick's hypothesis of selfish DNA further supports this, proposing that such sequences act as parasitic replicators, spreading through populations by outcompeting host genes in replication efficiency rather than through positive selection.^[21] In contrast, the functionalist perspective critiques the neutral theory for underestimating the role of purifying selection, asserting that deleterious mutations are efficiently removed across much of the genome, including non-coding regions, thereby minimizing true junk DNA.^[22] Proponents argue that widespread selective constraints maintain functional integrity, with evidence drawn from lower substitution rates in constrained non-coding sequences compared to unconstrained ones.^[23] Key metrics of selective constraint, such as sequence conservation scores across species, reveal patches of non-coding DNA evolving slowly due to negative selection, indicating functionality beyond protein-coding regions.^[24] Supporting evidence for these views comes from comparative analyses of mutation and substitution rates: nonsynonymous substitutions in coding regions occur at rates far lower than synonymous ones, reflecting strong purifying selection against amino acid changes, while synonymous rates in coding DNA approximate those in unconstrained non-coding DNA, suggesting neutral evolution in the latter.^[25] This disparity underscores that while coding regions face intense constraint, much non-coding DNA experiences weaker selection, allowing drift to dominate. Evolutionarily, non-functional DNA sequences can serve as raw material for innovation, such as through duplication or transposition events that occasionally yield novel genes under subsequent selection.^[26]

ENCODE Project and Its Controversies

The Encyclopedia of DNA Elements (ENCODE) project, launched in 2003 by the National Human Genome Research Institute, aimed to identify all functional elements in the human genome through large-scale genomic assays. In 2012, the consortium released a series of 30 papers in Nature, including a flagship integrative analysis, asserting that at least 80% of the human genome exhibits biochemical activity, such as transcription, histone modifications, or transcription factor binding sites. This claim was based on data from over 1,000 experiments across multiple cell types, suggesting pervasive regulatory roles beyond protein-coding regions.^[27]^[28] The 2012 findings sparked significant controversy, primarily over the definition of "function" and the interpretation of biochemical signals as evidence of biological utility. Critics, led by evolutionary biologist Dan Graur, argued in a 2013 Genome Biology and Evolution paper that ENCODE's broad criteria—equating any detectable biochemical activity with function—ignored evolutionary principles, where true function requires selective pressure for fitness effects rather than mere noise or transient interactions in assays. Graur dubbed this the "80% fallacy," contending that such overestimation could include non-selective artifacts like pervasive low-level transcription, potentially inflating functional estimates to implausible levels incompatible with observed mutation rates.^[18]^[29] ENCODE co-leader Ewan Birney defended the work in blog posts and interviews, clarifying that the 80% figure described biochemical activity, not necessarily selected function, and emphasized its value as a resource for discovering context-dependent roles.^[30]^[31] Following the backlash, subsequent analyses refined ENCODE's estimates using evolutionary conservation and genetic perturbation data, lowering the proportion of likely functional DNA. A 2014 study in PLOS Genetics, integrating multiple lines of evidence, estimated that only 8.2% (with a 95% confidence interval of 7.1–9.2%) of the human genome is under purifying selection and thus functional. Other works from 2014 to 2017, including a PNAS review and a Genome Biology and Evolution analysis, suggested upper limits of around 20–25% when accounting for regulatory elements, highlighting that biochemical assays often detect transient or cell-type-specific signals not indicative of broad utility.^[32]^[33]^[34] ENCODE's Phase 3, completed in 2020 with data releases continuing thereafter, shifted focus toward context-specific activity by expanding assays to over 1,300 cell types and tissues, revealing that many elements function only in particular developmental or environmental contexts rather than universally.^[35]^[36] These refinements have tempered the original claims while affirming ENCODE's role in mapping dynamic genomic regulation.^[37]

Known Functions

Regulatory and Structural Roles

Much of what was once termed junk DNA consists of regulatory elements that control gene expression, including promoters, enhancers, silencers, and insulators. Promoters are DNA sequences located near the transcription start sites of genes, serving as binding sites for RNA polymerase and transcription factors to initiate transcription. Enhancers, often distant from their target genes, loop to interact with promoters via chromatin folding, boosting transcription in a tissue-specific manner; the ENCODE project has mapped approximately 1 million such enhancer candidates across the human genome, many residing in non-coding regions. Silencers repress transcription by recruiting repressive complexes, while insulators prevent unwanted interactions between enhancers and promoters, thereby delineating functional genomic domains.^[27]^[38]^[39] Non-coding RNAs (ncRNAs) transcribed from these regions play crucial roles in post-transcriptional and epigenetic regulation. Long non-coding RNAs (lncRNAs), typically longer than 200 nucleotides, modulate gene expression by interacting with chromatin-modifying complexes or serving as scaffolds for protein assemblies; for instance, the lncRNA Xist coats one X chromosome in female mammals to trigger X-chromosome inactivation, ensuring dosage compensation between sexes by silencing X-linked genes. MicroRNAs (miRNAs), short ncRNAs of about 22 nucleotides, primarily exert post-transcriptional control by binding to messenger RNA (mRNA) targets, leading to their degradation or translational repression; in humans, over 1,000 miRNA genes have been identified, regulating a substantial portion of protein-coding transcripts.^[40]^[41]^[42] Recent studies as of 2025 have further revealed that non-coding DNA can sense environmental cues to regulate stem cell fate. For example, certain repetitive non-coding sequences enable stem cells to detect and respond to external signals, influencing differentiation and potentially holding therapeutic implications for regenerative medicine.^[43] In addition to regulation, non-coding DNA fulfills essential structural functions in genome architecture and stability. Telomeres, repetitive non-coding sequences at chromosome ends (TTAGGG in humans), protect against DNA degradation and fusion events, maintained by the enzyme telomerase to counteract replicative shortening. Centromeres, large blocks of repetitive non-coding DNA enriched in alpha-satellite sequences, assemble kinetochores to facilitate accurate chromosome segregation during cell division. Interactions with the nuclear lamina, a meshwork of intermediate filaments lining the inner nuclear envelope, anchor non-coding regions to maintain three-dimensional genome folding; for example, lamina-associated domains (LADs) often encompass heterochromatic non-coding sequences, influencing chromatin compaction and gene positioning.^[44]^[45]^[46] Ultraconserved elements (UCEs), stretches of non-coding DNA over 200 base pairs with 100% sequence identity across humans, mice, and rats, exemplify conserved regulatory functions; many UCEs act as enhancers driving tissue-specific expression of developmental genes, such as those in the Hox clusters. Evidence from CRISPR-Cas9 knockouts further demonstrates functionality: targeted deletions of non-coding enhancers, like those regulating the SOX9 gene, result in limb malformations in mouse models, mirroring human congenital disorders; similarly, excising ultraconserved elements near the DLX5/6 locus disrupts craniofacial development. The ENCODE project aided in mapping these elements, highlighting their biochemical activity.^[47]^[48]^[49]

Evolutionary and Other Functions

Non-coding DNA, once dismissed as junk, plays pivotal roles in evolutionary innovation through transposable elements (TEs), which constitute approximately 45% of the human genome and have been co-opted for new functions over time.^[50] TEs, such as Alu elements—short interspersed nuclear elements (SINEs) that expanded dramatically in primate lineages—act as drivers of genomic novelty by inserting into regulatory regions, creating lineage-specific enhancers that influence gene expression during development and stress responses.^[51] For instance, Alu-derived motifs have fine-tuned inflammatory responses in humans and other primates, contributing to adaptations in immune function and disease susceptibility.^[52] These elements, originally selfish replicators, have been exapted to promote evolutionary flexibility, enabling rapid adaptation without disrupting core coding sequences.^[53] As of 2025, research has highlighted additional evolutionary roles, including ancient viral DNA—endogenous retroviruses (ERVs)—embedded in the genome that contribute to early human development. These sequences, once considered junk, regulate gene expression in embryonic stages, influencing primate-specific traits like brain development.^[54] Pseudogenes, inactivated gene copies derived from duplication or retrotransposition, serve as evolutionary backups by providing raw material for regulatory innovation. Many pseudogenes produce non-coding RNAs that modulate parent gene expression, acting as decoys for microRNAs or competing endogenous RNAs (ceRNAs) to fine-tune pathways like stress signaling.^[55] In mammals, retrogene pseudogenes have buffered conserved pathways, such as those involved in resilience to environmental stressors, by retaining partial functionality that can be reactivated during evolutionary pressures.^[56] This reservoir of sequences allows for reversible gene loss and potential novelty, accelerating divergence in gene families without immediate fitness costs.^[57] In adaptive contexts, non-coding DNA facilitates key evolutionary transitions, including sex-determination systems where repetitive sequences on sex chromosomes promote differentiation and suppress recombination. The accumulation of such elements on the Y chromosome, including near the SRY gene—a master regulator of male development derived from an ancestral SOX3 duplication—has driven the morphogenesis of sex chromosomes across vertebrates, enabling sexual dimorphism.^[58] Similarly, in the immune system, non-coding flanks containing recombination signal sequences (RSS) enable V(D)J recombination, shuffling variable (V), diversity (D), and joining (J) segments to generate vast antibody and T-cell receptor diversity essential for pathogen recognition.^[59] These mechanisms, embedded in non-coding regions, underpin adaptive immunity's evolutionary success by allowing hypermutation and combinatorial assembly.^[60] Beyond direct adaptation, non-coding DNA provides other utilities, such as buffering against deleterious mutations through heterochromatin-mediated silencing, which compacts repetitive regions to prevent gross chromosomal rearrangements and stabilize the genome during replication.^[61] Symbiotic contributions from endogenous retroviruses (ERVs), viral remnants integrated into the genome, further illustrate this; for example, ERV-derived syncytin genes encode fusogenic proteins critical for trophoblast fusion and placenta formation in eutherian mammals, a co-option that facilitated viviparity's evolution.^[62] Additionally, as of 2025, non-coding elements have been shown to have therapeutic potential, such as in destroying cancer cells by activating immune responses, transforming junk DNA into a tool for oncology.^[63] These roles highlight how erstwhile junk DNA has been repurposed for long-term evolutionary stability and innovation.^[64]

Current Understanding

Evidence for Truly Non-Functional DNA

Genomic analyses reveal signatures of neutral evolution in large portions of the human genome, particularly in intergenic regions, where mutation rates align closely with neutral expectations and sequence conservation is minimal. These regions accumulate substitutions at rates comparable to synonymous sites in coding sequences, indicating a lack of purifying selection. For instance, comparative alignments show that approximately 80-90% of the human genome lacks evolutionary constraint, with intergenic sequences exhibiting high variability across mammals, consistent with non-functional status. A 2023 study using 240 mammalian genomes estimated that only 10.7% (332 Mb) of the human genome is under purifying selection, leaving the majority subject to neutral drift.^[65] This low conservation level supports the persistence of truly non-functional DNA, as functional elements would be expected to show stronger selective pressure. Comparative genomics further underscores the existence of non-functional DNA through lineage-specific expansions that lack cross-species homologs or detectable effects. In rodents, for example, the genome has undergone substantial amplification of transposable elements, such as B1 SINEs and rodent-specific LINEs, which constitute up to 30% of the sequence and are absent or divergent in primates. These expansions do not correlate with conserved regulatory motifs or phenotypic traits unique to rodents, suggesting they represent neutral accumulations without selective advantage. The rat genome assembly highlights that rat-specific repeats occupy ~15% of the sequence, with rodent-specific repeats adding another ~8%, with no evidence of functional recruitment in other lineages.^[66] Such patterns indicate that much of the repetitive content arises via unchecked proliferation rather than adaptive evolution. Experimental manipulations provide direct evidence that substantial non-functional DNA can be removed without fitness consequences. Large-scale deletion studies in mice have targeted non-conserved intergenic regions, yielding viable offspring with no observable impacts on morphology, reproduction, or longevity. Seminal work deleted over 1 Mb of gene deserts—non-coding intervals flanking developmental genes—resulting in homozygous mice indistinguishable from wild-type controls, despite removing thousands of conserved non-coding sequences.^[67] Similarly, targeted removal of four ultraconserved non-coding elements (out of 481 identified), each spanning up to 731 bp with 100% identity across human, mouse, and rat, produced fertile mice lacking any gross abnormalities, challenging assumptions of indispensability for highly conserved sequences.^[68] Evolutionary modeling further constrains the functional fraction to 8.2-15%, implying 85-92% as non-functional based on mutational load tolerances.^[34] These results collectively affirm the prevalence of genuinely neutral DNA in mammalian genomes.

Future Directions and Research Gaps

Advancements in single-cell assays are essential to resolve the functional contributions of non-coding DNA at cellular resolution, enabling researchers to differentiate subtle regulatory activities from stochastic noise in heterogeneous tissues.^[69] Tools like single-cell ATAC-seq and multi-omics approaches, such as SDR-seq, allow integration of DNA accessibility, RNA expression, and genetic variants to map non-coding effects in individual cells, addressing limitations of bulk assays that mask cell-type specificity.^[70] Complementing these, AI-driven models like AlphaGenome predict how non-coding variants influence gene regulation and expression across genomic contexts, surpassing earlier methods by handling long DNA sequences and variant combinations with high accuracy.^[71] These technologies aim to extend beyond the ENCODE project's broad biochemical signals, which often conflate potential activity with proven function.^[72] Key research gaps persist in understanding the context-dependency of non-coding functions, where regulatory roles may emerge only under specific environmental or developmental cues, complicating universal classifications of "junk."^[73] For instance, cis-regulatory elements exhibit conserved yet context-specific effects on gene expression, varying by tissue or stress conditions, yet systematic studies in diverse scenarios remain limited.^[74] Additionally, investigations into non-model organisms lag, as most data derive from humans and common models like mice, overlooking evolutionary insights from species with vastly different non-coding landscapes.^[75] Emerging questions center on the role of non-coding elements, particularly repetitive sequences like transposable elements, in disease pathogenesis, such as cancer progression through genomic instability or immune evasion.^[76] In oncology, these elements' dysregulation can drive tumor evolution, yet causal mechanisms and therapeutic targets require further elucidation.^[77] Synthetic biology offers a pathway to test neutrality by engineering insertions or deletions in non-coding regions of model organisms, identifying phenotypically neutral sites to probe evolutionary constraints without disrupting essential functions.^[78] As of 2025, integrating pangenomics with non-coding analysis highlights population-level variations in these regions, revealing how structural variants and alleles in "junk" DNA contribute to adaptive traits and disease susceptibility across diverse ancestries.^[79] This approach uncovers hidden regulatory diversity, challenging static views of non-coding neutrality and informing personalized medicine.^[80]

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MicroRNAs (miRNAs) are small noncoding RNAs that negatively regulate the expression of a large proportion of cellular mRNAs. They have unique, diverse ...
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Telomere biology and ribosome biogenesis: structural and ...
Telomeres are nucleoprotein structures that play a pivotal role in the protection and maintenance of eukaryotic chromosomes. Telomeres and the enzyme ...
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In addition to enhancer activity, non-coding ultraconserved sequences can have other roles in gene expression regulation. One element upstream of the HoxD locus ...
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https://pmc.ncbi.nlm.nih.gov/articles/PMC5483188/
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Pseudogene-derived small interference RNAs regulate gene ...
Apr 29, 2011 · Over the past years, however, it has become evident that pseudogenes may have diverse functions, mainly in regulating gene expression (3–7).Sign Up For Pnas Alerts · Results · Discussion
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The HAPSTR2 retrogene buffers stress signaling and resilience in ...
Jan 11, 2023 · We thus identify a novel protein-coding retrogene that buffers a conserved stress response pathway in mammals.
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The subordinate role of pseudogenization to recombinative deletion ...
Jul 9, 2025 · Indeed, several studies have put pseudogenes forward as an important source of long noncoding RNAs (lncRNAs), which govern regulatory functions.
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Apr 1, 2009 · These findings in animal species show that the accumulation of junk DNA is an important step in promoting the morphogenesis of sex chromosomes.Missing: determination | Show results with:determination
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Generating combinatorial diversity via engineered V(D)J-like ...
Jul 1, 2025 · V(D)J recombination is integral to the development of antibody diversity and proceeds through a complex DNA cleavage and repair process ...
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Heterochromatin suppresses gross chromosomal rearrangements at ...
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Megabase deletions of gene deserts result in viable mice - Nature
### Summary of Main Finding on Megabase Deletions in Gene Deserts in Mice
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Deletion of Ultraconserved Elements Yields Viable Mice
To our surprise, we found that the mice lacking these elements are viable, fertile, and show no apparent abnormalities.
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A cell type-aware framework for nominating non-coding variants in ...
Sep 27, 2024 · Unsolved Mendelian cases often lack obvious pathogenic coding variants, suggesting potential non-coding etiologies.
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SDR-seq Connects Genetic Variants to Disease in Single Cells
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Mapping the regulatory effects of common and rare non-coding ...
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A pangenomic approach reveals the sources of genetic variation ...
Mar 19, 2025 · These non-coding regions are in some cases conserved across more distantly related species, suggesting they could serve important regulatory ...
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Unmasked: transposable elements as drivers and targets in cancer
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From Junk DNA to Genomic Treasure: Impacts of Transposable ...
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Mar 10, 2022 · We report putative editing targets for 10 common synthetic biology chassis organisms, including coverage of available RNA-seq data, and provide software to ...
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pangenomic approach reveals the sources of genetic variation ...
Sep 23, 2025 · These non-coding regions are in some cases conserved across more distantly related species, suggesting they could serve important regulatory ...
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[PDF] From map to blueprint: the plant pan-genome unraveling genetic ...
Sep 23, 2025 · Beyond gene content, pan- genomic analyses now also encompass regulatory variations and non-coding sequences, providing a more holistic view of ...