When Processing, Not Presence, Determines Visibility

It is easy to assume that if a protein accumulates in a diseased cell, the immune system will eventually see it. In the case of p53, that assumption has always had an intuitive appeal. p53 is one of the central stress-response proteins in biology, frequently altered in cancer, often stabilized, and deeply woven into the molecular logic of cell fate. If any intracellular protein should become immunologically visible, it ought to be p53.

But the deeper one looks at antigen presentation, the less that simple view holds. What matters is not merely whether p53 is present. What matters is whether peptide fragments derived from p53 are generated in the right form, survive intracellular trimming, fit the preferences of a particular HLA groove, and remain stable enough on the cell surface to be interrogated by either a T cell receptor or an NK-cell receptor system. The 2022 Codondex article, Expanding Treatment Horizons, was already moving in that direction by highlighting an underappreciated observation from the HLA-C ligandome literature: a TP53-derived peptide, TAKSVTCTY, was identified as a naturally presented ligand of HLA-C*02:02. That observation comes from Moreno Di Marco and colleagues’ immuno-peptidomics study, which also listed MAGEA3-derived peptides among ligands presented by the same allotype.

That point remains important, but it also needs sharpening. The HLA-C paper tells us that a TP53-derived peptide can be naturally presented by HLA-C02:02. It does not tell us that HLA-C02:02 is already a dominant or clinically validated p53 presentation route in the way that HLA-A02:01 has become. For that, the literature is far stronger on the HLA-A side. A substantial body of work has shown that **wild-type p53 peptides presented by HLA-A02:01**, especially the well-known p53(264–272) epitope LLGRNSFEV, can stimulate cytotoxic T-cell responses and can be recognized on tumor cells. This was shown in studies such as Chikamatsu et al. Hoffmann et al. Gnjatic et al. and later vaccine-oriented work including Svane et al and the broader review literature on p53-targeting vaccines. In other words, for HLA-A*02:01, p53 is not just a theoretical ligand source; it is already part of a fairly mature immunotherapeutic story.

The most useful contribution of the recent Nature paper, The DNA virome varies with human genes and environments, is that it sharpens the mechanistic frame through which both HLA-C02:02 and HLA-A02:01 should now be viewed. The paper is not a p53 paper. It does not center tumor antigens, and it does not establish anything directly about TP53 peptide presentation. What it does show, at population scale, is that viral DNA load is shaped not only by HLA variation but also by the antigen-processing machinery, especially ERAP1 and ERAP2. That matters because it shifts the center of gravity away from a simplistic “does the peptide bind?” model and toward a more realistic “does the peptide survive the whole processing pipeline?” model.

That shift is especially important for p53. The HLA-A02:01 literature had already hinted that presentation of the classic p53(264–272) epitope depends on more than sequence alone. The work by Kuckelkorn et al showed that generation of this epitope is influenced by the interferon-γ-inducible processing machinery and that a hotspot mutation at residue 273 can prevent proper generation of the epitope. This is a reminder that even for the most familiar p53/HLA-A02:01 peptide, presentation is a processing problem before it becomes a recognition problem. The Nature virome study widens that principle: inherited variation in antigen processing can have measurable biological consequences at human scale. Read together, these papers suggest that p53 visibility is governed not simply by the existence of a fitting sequence, but by whether intracellular processing delivers that sequence intact to the appropriate HLA molecule.

This is where the contrast between HLA-A02:01 and HLA-C02:02 becomes genuinely interesting. HLA-A02:01 has a long experimental trail behind it: peptides were mapped, CTLs were induced, tumors were shown to present certain epitopes, and vaccine studies were built on top of that scaffold. HLA-C02:02, by contrast, remains more conditional. The ligandome study establishes that TAKSVTCTY from TP53 can indeed appear on HLA-C02:02, and it also gives a broader view of the peptide preferences of that allotype. In that same work, HLA-C02:02 is described as favoring small aliphatic or hydrophilic residues at position 2, with additional motif features helping define its ligand space. That does not diminish the importance of the TP53 observation; it means the TP53 peptide should be treated as a real but selective presentation event rather than assumed to be broadly immunodominant.

The biology becomes even more layered because HLA-C is not simply a lower-profile version of HLA-A. HLA-C occupies a distinct place in immune regulation. Compared with HLA-A and HLA-B, HLA-C is generally expressed at lower surface levels and is more tightly integrated with KIR-mediated NK-cell regulation. That broader point is well summarized in the Nature Communications paper Structural and regulatory diversity shape HLA-C protein expression levels, which notes both the lower surface expression of HLA-C and its extensive functional relationship with KIRs. This makes HLA-C particularly interesting for p53 because a peptide displayed by HLA-C is not only a possible T-cell target; it is also part of a signaling surface read by NK cells.

That NK dimension turns out not to be merely background context. More recent work has shown that KIR recognition of HLA-C is often peptide-dependent. The point is made clearly in studies such as Sim et al. 2017 and Sim et al. 2023: the HLA-C molecule is not being read in a peptide-blind way. Inhibitory and activating KIRs can be strongly shaped by the identity of the peptide bound in the groove. That has profound implications for any discussion of TP53 peptides on HLA-C02:02. A TP53-derived peptide on HLA-C02:02 may not simply mark a cell for CD8 T-cell inspection; it may also alter the threshold for NK inhibition or activation. This is one of the most important places where the older Codondex article and the newer immunogenetic literature genuinely converge.

So the corrected reading is not that the 2026 Nature paper newly proves something specific about HLA-C*02:02 presenting p53. It does not. What it does is make the older HLA-C02:02 observation more meaningful by placing it inside a stronger mechanistic framework. The question is no longer only whether TAKSVTCTY can bind HLA-C02:02; the question is whether an individual’s processing machinery, inflammatory state, and HLA context allow that peptide to be generated, preserved, loaded, displayed, and then interpreted by either T cells or NK cells in a biologically consequential way. That is a more demanding question, but it is also a more interesting one.

This also helps explain why HLA-A*02:01 remains the more established p53 route. The A02:01 pathway has yielded peptides that are repeatedly recoverable in experimental systems, repeatedly recognized by CTLs, and repeatedly leveraged in translational work. The HLA-C02:02 pathway looks more contingent: real, but likely more dependent on peptide selection pressure, trimming, and the NK-facing consequences of peptide-loaded HLA-C. Seen this way, HLA-A02:01 is the clearer adaptive pathway, while HLA-C02:02 may be a narrower but potentially more intriguing bridge between tumor antigen presentation and innate immune tuning.

That may be the most useful lesson from putting these papers together. p53 is not simply “presented” or “not presented.” It passes through a filter. In HLA-A02:01, that filter has already produced a clinically legible signal. In HLA-C02:02, the signal is fainter, but perhaps more information-rich, because it may be read simultaneously by T cells and NK-cell receptor systems. If that is right, then the next real step is not more speculation about binding motifs alone. It is experimental work that directly compares TP53 peptide generation, ERAP dependence, surface abundance, and KIR/TCR consequences across HLA-A02:01 and HLA-C02:02 backgrounds. That is where the overlap becomes testable rather than merely suggestive.

Genome Balance: Repeats, Immunity, and Cancer

Cancer is usually described as a disease of mutations. Genes break, pathways fail, and cells escape control. That framing has been powerful, but it misses a deeper layer that may reveal how it begins.

The human genome is not primarily a coding genome. It is a repeat genome. More than half of our DNA consists of repetitive elements, with Alu retroelements alone numbering over a million copies. These sequences are a defining feature of primate genomes and they create a unique biological problem that human cells must continuously manage. Recent work suggests that cancer may emerge, in part, when this management system loses balance.

Alu elements are short retrotransposons that readily form double‑stranded RNA stem‑loop structures when transcribed, particularly in antisense orientation within introns and untranslated regions. To the innate immune system, these structures resemble viral RNA. This means that normal gene expression in human cells constantly risks triggering antiviral immune responses against self‑derived RNA.

A striking recent study shows that human cells rely on active suppression to avoid this outcome. In Ku suppresses RNA‑mediated innate immune responses in human cells to accommodate primate‑specific Alu expansion, the authors demonstrate that the DNA repair protein Ku (Ku70/Ku80) plays an essential second role: binding Alu‑derived dsRNA stem‑loops and preventing activation of innate immune sensors such as MDA5, RIG‑I, PKR, and OAS/RNase L.

When Ku is depleted interferon and NF‑κB signaling are strongly activated, translation is suppressed, and cells undergo growth arrest or death. Notably, Ku levels scale tightly with Alu expansion across primates, and Ku is essential in human cells but not in mice. The implication is clear:

Human cell viability depends on continuous suppression of Alu‑derived innate immune activation.

Alu expression is not harmless noise, it is actively tolerated! Ku functions as a finite buffer that allows primate cells to tolerate structurally immunogenic RNA produced by repeat‑rich genomes. When structured RNA load increases simultaneously from endogenous repeat transcription and exogenous viral RNA infection, Ku becomes functionally saturated and redistributed, weakening nuclear retention and cytoplasmic buffering. This pressurizes the cell’s capacity to contain dsRNA stress, promoting escape of repeat‑derived RNA, activation of innate sensors, and eventual selection for immune‑tolerant states.

A second line of evidence connects this tolerance to cancer evolution. A 2025 bioRxiv preprint, p53 loss promotes chronic viral mimicry and immune tolerance, shows that loss of p53 permits transcription of immunogenic repetitive elements, generating signals that resemble viral infection. Rather than leading to effective immune clearance, this state becomes chronic. Tumor cells adapt by dampening innate immune responses and tolerating persistent repeat‑derived nucleic acids.

In this view, “viral mimicry” is not a one‑time immune alarm. It is a conditioning process repeat RNAs accumulate, immune pathways are activated, and progressively suppressed or rewired to allow survival. Cancer cells do not simply evade immunity, they learn to live with endogenous viral‑like signals.

These immune findings align with earlier evidence that repeat control begins at the level of genome structure itself. A 2022 Nature Communications study demonstrated that retroelements embedded within the first intron of TP53 act as cis‑repressive genomic architecture. Removing this intron increases TP53 expression, indicating that long‑embedded repeats contribute directly to regulating a core tumor suppressor gene.

Importantly, this repression is architectural rather than motif‑driven. The repeats do not act through a single conserved sequence, but through repeat‑dense structure.

Together, these findings suggest a layered system of control:

1. Structural repression of repeats within introns.

2. Immune suppression of repeat‑derived dsRNA.

3. p53‑dependent governance of both genome stability and immune signaling. 

One long‑standing challenge in repeat biology is inconsistency. Different tumors show different repeat fragments. Even different regions of the same tumor can look unrelated at the sequence level.

From a traditional biomarker perspective, this appears discouraging. From a structural perspective, it is expected. Codondex analyses of repeat‑dense introns, including TP53 intron 1, show that cancer does not preserve specific Alu sequences. Instead, it perturbs repeat topology:

• dominance and skew within intronic scaffolds,

• stem‑loop‑prone architectures,

• context‑specific fragmentation patterns.

The sequences vary. The instability regime does not. This is characteristic of a state change, not a discrete genetic event. Repeat‑dense introns behave like stress recorders. They integrate replication stress, chromatin relaxation, repair pathway bias, and immune tolerance history.

Unlike coding mutations, these signals are heterogeneous, region‑specific, and reflective of ongoing cellular state.

They are difficult to interpret with gene‑centric tools, but powerful when viewed architecturally. 

Most cancer diagnostics ask:

What mutation is present? A repeat‑aware framework asks:

Has this tissue entered a stable state of repeat derepression coupled with immune tolerance?

That state may precede aggressive behavior, accompany treatment resistance, or mark transitions in disease evolution. Future prognostic approaches may therefore combine repeat‑topology instability metrics, repeat RNA burden, and evidence of immune decoupling from dsRNA load. Not to identify a single driver, but to detect loss of containment.

Alu repeats do not cause cancer on their own, but human cells must continuously restrain them, structurally and immunologically. Cancer appears, at least in part, when that restraint erodes and tolerance replaces control. Introns, long treated as background, may be one of the clearest places to see this shift, not because they encode instructions, but because they actively record genomic history and project it into a measure of present state.

Repeats as Signatures of Regulatory Potential

In the vast landscape of AI genomics, emerging analyses reveals non-coding DNA (ncDNA) as a treasure trove of regulatory information. At Codondex, our innovative k-mer-based approach uncovers how repetitive subsequences—short DNA fragments known as k-mers—serve as powerful signatures of regulatory potential. By viewing these repeats through a topological lens, we transform linear sequences into dynamic networks that highlight subtle distinctions in gene transcripts, offering new insights into gene regulation, isoform diversity, and disease mechanisms.

The Codondex Method: From Sequences to Topology

Codondex begins by "amplifying" ncDNA sequences associated with gene transcripts, generating all contiguous k-mers of length 8 or greater. For a gene like TP53, with its multiple isoforms (variants), we associate these k-mers with transcript-specific signatures derived from cDNA, mRNA or protein constants. The result? A rich dataset of subsequences, where repeats—identical k-mers appearing multiple times—emerge as key players.

Rather than treating DNA as a flat string, we interpret it topologically: k-mers as nodes in a graph, with repeats forming edges that indicate connections, clusters, and symmetries. Metrics like i-Score (normalizing contained k-mers by length) and inclusiveness (repeat frequency) rank these patterns, while cDNA or protein vectors capture fine distinctions. In our analyses of genes such as MEN1 and TP53, symmetries in repeat length and frequency stand out, unrelated to obvious features like reverse complements. These non-random patterns suggest repeats are not artifacts but deliberate signatures encoded for regulation.

Repeats as Regulatory Hotspots

How do these repeats signal regulatory potential? First, they often manifest as binding sites for proteins. Repetitive motifs can amplify affinity for transcription factors or splicing regulators. In TP53 introns, high-frequency k-mers align with p53-binding elements, potentially modulating tumor-suppressive isoforms. Variants with asymmetric repeats might weaken these interactions, leading to dysregulation in cancer.

Second, repeats influence secondary structures. Topologically, frequent repeats create "hubs" in the network, fostering DNA/RNA folds like hairpins that affect chromatin accessibility or mRNA stability. Our MEN1 intron1 study, analyzing 15 variants, revealed length-biased repeat clusters in scatter-graphs—despite length-agnostic algorithms—indicating structured motifs that differentiate stable from unstable transcripts. Disruptions from low-length repeats, as seen in TP53 vectors, act like regulatory "switches," fine-tuning expression in response to cellular stress.

Third, symmetries in repeats point to evolutionary conservation. Equal-length k-mers recurring with balanced frequencies form symmetric graphs, preserving robust modules across species. In MEN1, linked to endocrine tumors, these patterns suggest intron-driven adaptations for hormone regulation. Disruptions in variants could flag pathogenicity, enabling predictive modeling without coding-sequence reliance.

Real-World Implications and Validation

Our deep k-mer analysis, first detailed in a 2018 blog post, showcased MEN1 intron symmetries predicting protein outcomes, later validated through lab tests at Tel Aviv University. For TP53, stable vector positions disrupted by specific repeats correlated with isoform-specific roles, highlighting ncDNA's influence on cancer hallmarks.

This topological view empowers genomics: identifying regulatory elements for drug targeting, differentiating disease variants, and advancing precision medicine. At Codondex, we're excited to explore how these repeat signatures unlock ncDNA's secrets—join us in redefining genomic potential.

P53 - Stability and Life Or Disorder and Death!

There is something ancient about the struggle between order and disorder in biology. A cell does not merely live by dividing, signaling, and repairing itself. It lives by maintaining interpretability. Its genome must remain legible enough to be copied, restrained enough not to erupt into instability, and coherent enough that surrounding systems — especially the immune system — can still distinguish function from failure. In that sense, p53 is not simply a tumor suppressor in the narrow modern meaning of the phrase. It is closer to a molecular governor of biological intelligibility, one of the factors that helps determine whether stress remains containable or tips into forms of disorder.

The broader role has appeared repeatedly across Codondex discussions, from Expanding Treatment Horizons to Does SARS-CoV2 Strangle P53 to kill Natural Killer Immunity?, where p53 was already being read less as an isolated tumor suppressor and more as part of a wider immune and genomic control system.

That older and deeper role becomes clearer once p53 is viewed not only through apoptosis or cell-cycle arrest, but through its relationship with the repetitive genome. Work over the last decade has shown that p53 does not merely respond to genetic insult after the fact. It can directly repress human LINE1 retrotransposons by binding the 5′UTR and promoting local repressive chromatin, and more recent work has extended that picture by showing p53-dependent restraint of LINE1-associated RNA-DNA hybrid states as well. One of the great guardians of cellular integrity is therefore also engaged in policing one of the genome’s recurrent internal threats: mobile and semi-mobile repetitive sequence that, when released from restraint, can destabilize chromosomal order and provoke inflammatory consequences. p53 directly represses human LINE1 transposons and p53-mediated regulation of LINE1 retrotransposon-derived R-loops both push that picture into sharper focus.

But the relationship runs in both directions. Transposable elements are not only targets of p53; they have also helped shape the p53 regulatory landscape itself. A substantial body of work has shown that human retrotransposons contain p53 responsive elements, meaning that the repetitive genome has donated part of the sequence architecture through which p53 now reads and regulates stress. This is one of those places where the older division between “functional genome” and “junk” becomes difficult to maintain. Repetitive sequence has not only threatened order. It has also contributed to the grammar by which order is defended.

Once that is appreciated, the immune side of the problem begins to look less like a separate field and more like a continuation of the same one. If p53 helps determine whether genomic instability remains suppressed, then it also helps determine whether such instability becomes visible to immune surveillance. Emerging views now frame p53 as a major regulator of NK-cell tumor immunosurveillance, not because NK cells are somehow subordinate to p53, but because p53 influences so many of the target-cell properties that NK cells are built to read: stress ligands, metabolic distress, microenvironmental signals, and the broader state of cellular legitimacy.

One of the clearest examples is the p53-dependent induction of ligands visible to NK activation pathways. When wild-type p53 is induced in tumor cells, NK cells can be alerted through upregulation of the NKG2D ligands ULBP1 and ULBP2. That is an important bridge. It means p53 is not only preserving internal order; it can also help convert intracellular stress into a surface-readable signal that tells NK cells something has gone wrong. The target is no longer merely unstable. It becomes interpretable to innate immune surveillance.

A parallel bridge exists through antigen processing. p53 has also been shown to increase MHC class I expression by upregulating ERAP1, a trimming enzyme involved in preparing peptides for class I presentation. That does not collapse NK and T-cell biology into one another, but it does reinforce the larger point: p53 influences whether a distressed cell remains hidden, partially legible, or fully exposed to immune scrutiny. It affects not just whether the cell survives, but how clearly that cell can be judged by the systems around it.

The recombination thread can also be preserved, though it needs to be understood in the right register. Mature NK cells do not generate their recognition receptors through classical V(D)J recombination in the way T and B cells do. Their receptors are fundamentally germline encoded. Yet that is not the end of the recombination story. Work on NK ontogeny has shown that a history of RAG expression in progenitors and NK precursors marks functionally distinct NK subsets later in the periphery, with consequences for fitness, survival, and responsiveness. Recombination machinery therefore leaves a developmental trace on NK biology, even if it does not build the mature receptor repertoire in the adaptive sense.

That developmental nuance matters because it prevents the argument from becoming either too weak or too strong. Too weak, and the relationship between recombination-linked stress and NK function disappears. Too strong, and NK cells are mistakenly described as if they were just another rearranging lymphocyte lineage. The better reading is that recombination biology, DNA damage response history, and developmental programming can shape the later functional competence of NK cells without making their mature surveillance logic identical to that of T cells.

A similar caution, and opportunity, appears in the KIR story. One of the most interesting findings in NK regulation is that KIR expression can be governed by bidirectional promoter logic and antisense transcription. In particular, KIR antisense transcripts processed into a 28-base PIWI-like small RNA have been linked to transcriptional silencing, while related work on KIR antisense lncRNAs and probabilistic promoter switching suggests that inhibitory receptor expression is shaped by a layered interaction between transcription, antisense regulation, and epigenetic commitment. This does not establish a direct p53→piRNA→KIR3DL1 pathway. But it does show that the NK lineage is not insulated from the wider world of small RNA restraint and genome-governed silencing.

That is where the Codondex theme begins to re-emerge. If p53 sits in one part of the cell as a governor of repetitive-element restraint, and if NK inhibitory receptor choice is itself touched by small-RNA and antisense-mediated silencing logic, then the two systems may not be identical, but they may still rhyme. Both are concerned with the management of unstable potential. Both are concerned with whether latent disorder is allowed to become active. Both are concerned with which signals are permitted to surface and which are held in reserve. This is not yet a single proven pathway. It is a systems-level parallel supported by a growing amount of molecular detail.

There is another reason the p53–NK connection deserves attention. In some settings, p53 activation appears able to convert repetitive-element biology into something resembling a warning flare. Pharmacologic activation of p53 has been linked to antiviral-like and immune-stimulatory states, and the broader literature now places p53 within a network that can enhance NK recognition and tumor destruction through multiple channels rather than one single canonical mechanism. The significance of that shift should not be underestimated. It means p53 is no longer best understood only as the decider of cell fate from within. It is also a participant in the communication of cellular fate to the outside world.

So the central question remains a fruitful one. Is p53 merely a brake on instability, or is it also part of the language by which instability becomes visible to elimination? The literature increasingly favors the second possibility. p53 restrains transposable elements. p53 shapes stress-ligand display. p53 influences antigen processing and MHC-I expression. p53 intersects with developmental and regulatory processes that matter to NK-cell competence and target recognition. The picture that emerges is not of a single linear circuit, but of a pressure point where genome integrity, immune legibility, and cellular fate begin to converge.

In that light, p53 can still be read as this article’s central character without overstatement. When p53 function is preserved, a cell under strain is more likely to remain ordered, to arrest, to die cleanly, or to become visible enough for immune removal. When p53 function is lost, not only does instability grow, but the cell’s interpretability may degrade with it. Disorder then becomes doubly dangerous: more abundant internally, and more ambiguous externally. That may be one of the deeper meanings of p53 in cancer and perhaps in biology more generally. It is not only a guardian against mutation. It is one of the means by which life keeps disorder readable.

Immune Synchronization

Stem Cell

Navigating the regulatory regimes that govern drug safety can be challenging. But, rigorous standards are more relaxed in the lesser used track for autologous and/or minimally manipulated cell treatments. Toward meeting the challenges of this minimal regulation track, the wide-spectrum of NK cells, of the innate immune system, are compelling candidates to address complex cellular and tissue personalization's or conditions of disease. One effect of cell function on NK cell potency occurs via aryl hydrocarbon receptor (AhR) dietary ligands, potentially explaining numerous associations that have been observed in the past.

The AhR was first identified to bind the xenobiotic compound dioxin, environmental contaminants and toxins in addition to a variety of natural exogenous (e.g., dietary) or endogenous ligands and expression of AhR is also induced by cytokine stimulation. Activation with an endogenous tryptophan derivative, potentiates NK cell IFN-γ production and cytolytic activity which, in vivo, enhances NK cell control of tumors in an NK cell and AhR-dependent manner.

A combination of ex vivo and in vivo studies revealed that Acute Myeloid Leukemia (AML) skewed Innate Lymphoid Cell (ILC) Progenitor towards ILC1's and away from NK cells as a major mechanism of ILC1 generation. This process was driven by AML-mediated activation of AhR, a key transcription factor in ILC's, as inhibition of AhR led to decreased numbers of ILC1's and increased NK cells in the presence of AML.

Activation of AhR also induces chemoresistance and facilitates the growth, maintenance, and production of long-lived secondary mammospheres, from primary progenitor cells. AhR supports the proliferation, invasion, metastasis, and survival of the Cancer Stem Cells (CSC's) in choriocarcinoma, hepatocellular carcinoma, oral squamous carcinoma, and breast cancers leading to therapy failure and tumor recurrence.

Loss of AhR increases tumorigenesis in p53-deficient mice and activation of p53 in human and murine cells, by DNA-damaging agents, differentially regulates AhR levels. Activation of the AhR/CYP1A1 pathway induces epigenetic repression of many tumor suppressor and tumor activating genes, through modulation of their DNA methylation, histone acetylation/deacetylation, and the expression of several miRNAs. 

p53 is barely detectable under normal conditions, but levels begin to elevate and locations change particularly in cells undergoing DNA damage. The significant network effect of p53 availability and its mutational status in cancer makes it the worlds most widely studied gene. 

From 48 sequenced samples of two different tumors, Codondex identified 316 unique Key Sequences (KS) of the TP53 Consensus. 9 of these contained the core AhR 5′-GCGTG-3′ binding sequence, and some overlapped p53 quarter binding sites as illustrated below;

Key Sequence                                                                           

GGATAGGAGTTCCAGACCAGCGTGGCCA (intron1) AhR [1699,1726], p53 @ [1706,1710]

AAAAATTAGCTGGGCGTGGTGGGTGCCT (intron1) AhR [1760,1787], p53 [1783,1787]

AAAAAAAATTAGCCGGGCGTGGTGCTGG (intron6) AhR [12143,12170]

GAGGCTGAGGAAGGAGAATGGCGTGAAC (intron6) AhR [12195,12222]

We propose that DNA damage liberates transposable DNA elements that are normally repressed by p53 and other suppressor genes. The p53 repair/response also includes increased cooperation between p53 and AhR, which further influence transcription, mRNA splicing or post-translation events. Repeated damage, at multi-cellular scale, may proximally bias ILC's toward NK cells capable of specific non-self detection, through localized ligand, receptor relationships that trigger cytolysis and immune cascades. 

KS's are a retrospective view of transcripts ncDNA elements, ranked by cDNA that may reflect inherent bias that can be used to direct NK cell education. One way to accomplish minimal manipulation may be to leverage patient immunity by educating autologous NK cells with computationally selected tumor cells, identified by KS alignments to the index of past experiments that expanded and triggered a more desirable immune response. Customizable immune cascades, capable of managing disease or preventatively supporting a desired heterogeneity being the primary objective. 

Retroviral Defense And Mitochondrial Offense

Chromosomal DNA has played host to the long game of viral insertions that repeat and continue as a genetic and epigenetic symbiosis along its phosphate and pentose sugar backbone. But, the bacterial origin of mitochondria and its hosted DNA also promotes its offense. 

Research suggests that retrovirus insertions evolved from a type of transposon called a retrotransposon. The evolutionary time scales of inherited, endogenous retroviruses (ERV) and the appearance of the zinc finger gene that binds its unique sequences occur over same time scales of primate evolution. Additionaly the zinc-finger genes that inactivate transposable elements are commonly located on chromosome 19. The recurrence of independent ERV invasions can be countered by a reservoir of zinc-finger repressors that are continuously generated on copy number variant (CNV) formation hotspots.

One of the more intiguing aspects of prevalent CNV hotspots on chromosome 19 are their proximity to killer immunoglobulin receptor gene's (KIR's) and other critical gene's of the innate immune system.

Frequently occuring DNA breaks can cause genomic instability, which is a hallmark of cancer. These breaks are over represented at G4 DNA quadruplexes within, hominid-specific, SVA retrotransposons and generally occur in tumors with mutations in tumor suppressor genes, such as TP53. Cancer mutational burden is shaped by G4 DNA, replication stress and mitochondrial dysfunction, that in lung adenocarcinoma downlregulates SPATA18, a mitochondrial eating protein (MIEAP) that contributes to mitophagy. 

Genetic variations, in non-coding regions can control the activity of conserved protein-coding genes resulting in the establishment of species-specific transcriptional networks. A chromosome 19 zinc finger, ZNF558 evolved as a suppressor of LINE-1 transposons, but has since been co-opted to singly regulate SPATA18. These variations are evident from a panel of 409 human lymphoblastoid cell lines where the lengths of the ZNF558 variable number tandem repeats (VNTR) negatively correlated with its expression. 

Colon cancer cells with p53 deletion were used to analyze deregulated p53 target genes in HCT116 p53 null cells compared to HCT116-p53 +/+ cells. SPATA18 was the most upregulted gene in the differential expression providing further insight to p53 and mitophagy via SPATA18-MIEAP.

p53 response elements (p53RE) can be shaped by long terminal repeats from endogenous retroviruses, long interspersed nuclear repeats, and ALU repeats in humans and fuzzy tandem repeats in mice. Further, p53 pervasively binds to p53REs derived from retrotransposons or other mobile genetic elements and can suppress transcription of retroelements. The p53- mediated mechanisms conferring protection from retroelements is also conserved through evolution. Certainly, p53 has been shown to have other roles in DNA  context, such as playing an important role in replication restart and replication fork progression. The absence of these p53-dependent processes can lead to further genomic instability. 

The frequency of variable length, long or short nucleotide repeats and their locations within a gene may be key to the repression of DNA sequences that would otherwise cause genomic instability or protein expressions that would eat bacterial mitochondria or destroy its cell host. 

The complexity of variable length insertions is made evident when exhaustively analyzing a simple length 12 sequence for the potential frequency of each of its variable length repeats starting from a minumum variable length of 8.

Then, for TGTGGGCCCACA(12)

All possible internal variable length combinations from and including length 8:

TGTGGGCC(8)|GTGGGCCC(8)|TGTGGGCCC(9)|TGGGCCCA(8)|GTGGGCCCA(9)|TGTGGGCCCA(10|GGGCCCAC(8)|TGGGCCCAC(9)|GTGGGCCCAC(10)|TGTGGGCCCAC(11)|GGCCCACA(8)|GGGCCCACA(9)|TGGGCCCACA(10)|GTGGGCCCACA(11)|TGTGGGCCCACA(12)

For example, reviewing length (8) only:

TGTGGGCC (8) occurs 5 times

GTGGGCCC (8) occurs 8 times

TGGGCCCA (8) occurs 9 times

GGGCCCAC (8) occurs 8 times

GGCCCACA (8) occurs 5 times

Any repeat can be ranked based on its ocurrence within all possible combinations of a given sequence, known as the repeats' iScore rank. This illustrates a potential useful statistical ranking that, subject to biology may describe a repeats inherency to be more or less effective, in increments of the gene sequence. 

Repression of the most active sequences, especially in context of repeats may result in genetic variation. 

First Intron DNA - Site for a Genetic Brain?

DNA Methylation

The first intron of a gene, regardless of tissue or species is conserved as a site of downstream methylation with an inverse relationship to transcription and gene expression. Therefore, it is an informative gene feature regarding the relationship between DNA methylation and gene expression. But, expression in induced pluripotent stem cells (iPSC's) has been a major challenge to the stem cell industry, because by comparison these cells have not yet reached the state of natural pluripotent or embryonic stem cells (ESC's).

In mice two X chromosomes (XC) are active in the epiblasts of blastocysts as well as in pluripotent stem cells. One XC is inactivated triggered by Xist (non coding) RNA transcripts coating it to become silent. Designer transcription factor (dTF) repressors, binding the Xist intron 1 enhancer region caused higher H3K9me3 methylation and led to XC's opening and X-linked gene repression in MEFs. This substantially improved iPSC production and somatic cell nuclear transfer (SCNT) preimplantation embryonic development. This also correlated with much fewer abnormally expressed genes frequently associated with SCNT, even though it did not affect Xist expression. In stark contrast, the dTF activator targeting the same enhancer region drastically decreased both iPSC generation and SCNT efficiencies and induced ESC differentiation. 

A genome-wide, tissue-independent quasi-linear, inverse relationship exists between DNA methylation of the first intron and gene expression. More tissue-specific, differentially methylated regions exist in the first intron than in any other gene feature. These have positive or negative correlation with gene expression, indicative of distinct mechanisms of tissue-specific regulation. CpGs in transcription factor binding motifs are enriched in the first intron and methylation tends to increase with distance from the first exon–first intron boundary, with a concomitant decrease in gene expression.

Since the relationship between sequence, methylation, repression and transcription is determinative in ESC differentiation it may also suggest a broader link to differential translation. Translation is required for miRNA-dependent transcript destabilization that alters levels of coding and noncoding transcripts. But, steady-state abundance and decay rates of cytosolic long non-coding RNA's (lncRNAs) are insensitive to miRNA loss. Instead lncRNAs fused to protein-coding reporter sequences become susceptible to miRNA-mediated decay. 

In this model, first intron DNA sequences that are differentially methylated, bind transcription factors that effect transcription, impact splicing, expressions of coding or non-coding transcripts and transcript destabilizations resulting in differential rates and possible variations in translation. This bottom-up, dynamic view of the classical process may elevate the first intron from 'junk' to a DNA 'brain' because it plays a more extensive role, heading the process toward translation of any gene or switching it off entirely.  

For this reason, among others Codondex uses first intron k-mers relative to the transcripts mRNA as the basis for comparing same gene transcripts in diseased cells or tissue samples. Further, p53 and BRCA1 miRNA key sequences, discovered using Codondex iScore algorithm, when transfected into HeLa cells resulted in significantly reduced proliferation that may result from this accelerated, transfected miRNA dependent decay.

 

Short Sequences of Proximally Disordered DNA

Oxford Nanopore Device Reducing Sequencing Cost

Relationships exist between short sequences of proximal DNA (SSPD) of a gene that when transcribed into RNA present stronger or weaker binding attractions to RNA binding proteins (RBP'S) that settle, edit, splice and resolve messenger RNA (mRNA). Responsive to epigenetic stimuli on Histones and DNA, mRNA are constantly transcribed in different quantity, at different times such that different mRNA strands are transported from the nucleus to cytoplasm where they are translated into and produce any of more than 30,000 different proteins.

Single nucleotide polymorphisms and DNA mutations can alter SSPD combinations in different diseased cells thus altering sequence proximity, ordering that affects transcribed RNA's attraction and optimal binding of RBP's. This may result in modified splicing of RNA, assembly of mRNA and slight or major variations in some or all translated protein derived from that gene. 

The specific effects of these DNA variations, on the multitude of proteins produced are generally unknown. However, it remains important to understand their effects in disease, diagnosis and therapy. Typically these have historically been researched by large scale analysis of RBP on RNA as opposed to the more fundamental, yet underrepresented massive array of diseased variant DNA to mRNA transitions.

Most pharmaceutical research is directed to a molecular interference targeting an aberrant protein to cure widely represented or highly impactful disease conditions of society. Economic assessments generally influence government decisions to support research based on loss of GDP contribution by a specific disease in a  patient cohort. However, in the modern multi-omics era top down research into protein-RNA activity is descending deeper into the cell to include RNA-mRNA and mRNA-DNA customizable therapies that will eventually resolve individually assessed diseases at a price that addresses much larger array of patient needs.  

SNP's and other mutations can vary considerably in cells. These variations can cause instability during division and lead to translated differences that can ultimately drive cancerous cell growth to escape patient immunity. Like a 'whack-a-mole' game, pattern variation and mechanistic persistence eventually beat the player. Without effective immune clearance these cells can replicate into tumors and contribute to microenvironments that support their existence.

Link to video on tumor microenvironment https://youtu.be/Z9H2utcnBic

We thought to analyze DNA and mRNA transcripts from cells in tumors and their microenvironments to see if we could expose the SSPD disordered combinations that may have promoted sub-optimal RBP attractions and led to sustained immune escape. Given the complexity of DNA to mRNA transcription, for any given gene many distortions in gene data sets have to be filtered. To do that we focused on p53, the most mutated gene in cancer. We designed a method to compare sequences arrays of DNA and mRNA Ensembl transcripts, from the consensus of healthy patients to multiple cell samples extracted from different sections of a patients tumor and tumor microenvironment.     

We previously identified and measured different levels of Natural Killer (NK) cell cytotoxicity, produced from cocultures with the extracted samples of each of the multiple sites of a biopsy. We will measure the different p53 transcript SSPD combinations associated with each sample and determine whether disordered SSPD's corelate with NK cytotoxicity from each coculture. We expect to identify whether biopsied tumor cells, ranked by SSPD's predict the cytotoxicity resulting from NK cell cocultures. We will narrow our research to identify the varied expressions of receptor combinations associated with degrees of cytotoxicity. We will test immune efficacy to lyse and destroy tumor cells. Finally we will test for adaptive immune response. 

Our vision is for per-patient, predictable cell co-culture pairings, for innate immune cell education based on ranking DNA-mRNA combinations to lead to multiple effective therapies. The falling cost of sequencing and sophistication of GMP laboratories presently servicing oncologists may support a successful use of this analytical approach to laboratory assisted disease management.

   

 

Non-Coding DNA Key Sequences

DNA Structural Inherency

Wind two strands of elastic, eventually it will knot, ultimately it will double up on itself. Separate the strands. From the point of unwinding, forces will be directed to different regions and the separation will approximately return to the wound state of the band. Do the same with each of 10 different bands or strings of any type, they will all behave in much the same way. For a given section of DNA being transcribed, the effect of separation will be much the same. For a given gene, there will be sequences that can tolerate force to greater or lesser degrees. For different transcripts, of a gene variation at those sequences may be crucial to the integrity of transcription machinery that separates DNA strands to initiate replication to RNA and for the outcome.

Cellular biology is enormously complex in all regards. The physics of molecular interaction, fluid dynamics, and chemistry combine in a system where cause and effect is near impossible to predict. At the most elementary level we hypothesize some non-coding DNA (ncDNA) possess structural inherencies that can be deployed to direct gene proteins and cell function for diagnosis or therapy.

Coding DNA and its regulatory, non-coding gene compliment is transcribed and spliced from a transcribed gene. Transcription to RNA, edited mRNA, spliced non-coding RNA and ultimately mRNA translation to protein can produce wide ranging, variable outcomes that may not be re-captured experimentally. 

A single nucleotide polymorphism (SNP) or SNP combinations within a gene may affect the finely tuned balance that results. Under different environmental conditions this could be material to the protein produced. Additionally other mutations of the gene could add complexity to the environment and/or the  resulting protein translation. 

At this level of cellular biology, genetic DNA stores instruction for protein assemblies to produce new protein required for the fully functional cell. However, DNA's stored mutations can lead to different functional or non-functional versions of protein depending on many different factors. Relationships between ncDNA, including mutations and the transcripts' edited, protein coding mRNA may represent unexplored inherencies that can regulate the gene's mRNA or translated protein.

We built an algorithm to elaborately compare ncDNA sequences of multiple protein coding transcripts of the same gene. For each transcript it steps through every variable length ncDNA sequence (kmer) (specifically intron1), computes a signature for each and indexes it to the constant of the transcripts' mRNA signature. For each step these signatures order the kmers for each of the transcript's. The order is represented in a vector of all the transcripts being compared.  

At millions of successive steps (depending on total intron 1 length's) transcripts mostly retain their vector ordering except, as expected at a kmer length change. Mostly transcript order in the vector does not change, occasionally a few positions change, vary rarely do all positions change. Position changes that cause another, like a domino effect are filtered out. For the rarest positions changes at a step, we look to the root causes in the kmer (sequence). We call this a Key Sequence because it is identified by the significance of changes to transcript positions in the vector compared to the vector at the next step. 

Therefore, Key Sequences cause the most position changes between transcripts being compared by the algorithm. This relative measure is step dependent and Key Sequences are discovered by comparing transcript positions in the vector at the next step location. Logically, this infers a genes structural inherency discovered through ncDNA Key Sequence relationships to mRNA, to other transcripts, error in gene alignments, sequenced reads or the algorithm. 

In assay testing we were able to predict and synthesize non-coding RNA Key Sequences that significantly reduced proliferation of HeLa cells. In our pre-clinical work, based on comparisons to transcripts of the TP53 we will be predicting the efficacy of cell and tissue selections that educate and activate Natural Killer cells.

If Key Sequences are inherent they could open a new frontier for diagnosis and therapy.

Cell's with an Index like Google?

Its been a while since I last wrote about DNA repeats or their RNA descendants. In that time advanced research has emerged relating repeats to increasing numbers of viral or other disease. Generally the repeats of interest here can be either long or short sequences of nucleotides that from part of an unspliced gene. Logically, counts of long sequences that repeat would be less than short sequences, but when normalized to their respective nucleotide lengths the indexed results can shift the relative order of repeating sequences quite dramatically.

In most knowledge systems repeats in low level data present redundancy and opportunity to improve efficacy in local or global upstream processes acting on that data. We see this in the structure of efficient alphabets that had a significant impact on whether or not a language survived continuous use. Why use ten words when precise meaning, including abstracts can be derived from three. Or why alpha when, at least for some period in the language history alphanumeric made it more effective? 

Search engines reduce their primary index to the least redundant data set used to drive efficient data access by upstream requests and processes to satisfy any query. However, at the storage level, data redundancy is permitted because energy efficiency is gained. Similarly genetic DNA is massively redundant. Redundant data stores can make highly indexed systems more efficient because frequently accessed data elements are more accessible at multiple locations and parallel processes can more efficiently satisfy upstream requests.

Repetitive sequences constitute 50%–70% of the human genome. Some of these can transpose positions, these transposable elements (TE's) are DNA transposons and retrotransposons. The latter are predominant in most mammals and can be further divided into long terminal repeat (LTR)-containing endogenous retrovirus transposons and non-LTR transposons including short interspersed nuclear elements (SINEs) and long interspersed nuclear elements (LINEs). The most abundant subclass of SINEs comprises primate-specific Alu elements in human with more abundant GC-rich DNA. Humans have up to 1.4 million copies of these repeats, which constitute about 10.6% of the genomic DNA. Long interspersed element-1 (LINE1 or L1), are abundant in AT-rich DNA, constitute 19% of the human genome and make up the largest proportion of transposable element-derived sequences.

Most TE classes are primarily involved in reduced gene expression, but Alu elements are associated with up regulated gene expression. Intronic Alu elements are capable of generating alternative splice variants in protein-coding genes that illustrate how Alu elements can alter protein function or gene expression levels. Non-coding regions were found to have a great density of TEs within regulatory sequences, most notably in repressors. TEs have a global impact on gene regulation that indicates a significant association between repetitive elements and gene regulation.

In liquid systems, phase separation is one of the most fundamental phase transition phenomena and ubiquitous in nature. De-mixing of oil and water in salad dressing is a typical example. The discovery of biological phase separation in living cells led to the identification that phase-separation dynamics are controlled by mechanical relaxation of the network-forming dense phase, where the limiting process is permeation flow of the solvent for colloidal suspensions and heat transport for pure fluids. The application of this derived governing universal law is a step to understanding and defining the liquid biological indexing equivalence of data-processing systems and inherent genetic redundancy.

Repeats have been widely implicated. In plant immunity a TE has been domesticated through histone marks and generation of alternative mRNA isoforms that were both directly linked to immune response to a particular pathogen. p53 transcription sites evolved through epigenetic methylation, deamination and histone regulation that constituted a universal mechanism found to generate various transcription-factor binding sites in short TE's or Alu repeats. In disease cytoplasmic synthesis of Alu cDNA was implicated in age related macular degeneration and there is transient increase of nearly 20-fold in the levels of Alu RNA during stress, viral infection and cancer.

In chromosomal DNA, each sequence, relative to its length may conveniently describe a phase-separated indexed location and method for discovery. Repeats within genetic DNA may present precisely sensitive phase-separated guidance to drive histone, epigenetic and transcription factors to specific genetic locations at the cells' 'end-of-line' from where the genetic response to upstream membrane bound changes begin.

 

Natural Killers Linked to Overall Survival in Cancer

A meta analysis of tumor samples, collected between 1973 and 2016, in 53 studies confirmed overall survival (OS) correlated with Natural Killer cell infiltration into solid tumors. The number of NK cells infiltrating solid tumors, including those considered “highly ”infiltrated was relatively low, compared with other immune populations. Notwithstanding, the presence of a single NK cell, within a high powered microscopic field was associated with significantly improved OS and disease free survival in colorectal cancer, HER2 + breast cancer and hepatocellular carcinoma.

The finding supports the prospect that single tumor infiltrating NK cells, in a sampled tissue can be determinative for OS. By inference a single tumor infiltrating NK cell or cells possess characteristics that are relative to OS and beneficial to patient.  

NK cell surface receptors are densely varied defining at least 30,000 unique NK cell populations within each individual. NK cell classifications, relative to tumor infiltration and OS is enormously complex, especially at this scale and present definitions of activating and inhibiting receptor combinations underwhelm. To identify NK cells that have infiltrated or may be capable of infiltrating a patient tumor to improve OS we focused on biopsied tumor tissue selections whether or not they include NK cells.

Our work is with two tumor types in humanized mice. Multiple sections of each tumor were resected and divided into multiple parts for coculture with allogenic naïve, IL2 and probiotic enhanced NK cells and for DNA sequencing. After coculture NK cell cytotoxicity and other detailed measures resulting from each resected section and from single cells were assessed. Presently sequencing of DNA from each resected, divided section (pre-coculture) is focused on comparisons derived from TP53.

In the final stage NK cells will be cocultured with resected tumor tissue and will be made to challenge new tumor tissue and single cells, from the resected tumor from which the NK coculture was derived. The objective will be whether Codondex analysis of TP53 DNA sequencing can predict the most successful tumor tissue candidates based upon the most effective cocultured NK cell challenge to the tumor derived tissue or cells. 

If Codondex algorithm is found to identify a direct or indirect logic for tissue or cell selection that is effective in vitro our work will continue to next stage in vivo testing and analysis on similar grounds.