RNA Degradation Research Articles

StructmRNA a BERT based model with dual level and conditional masking for mRNA representation

In this study, we introduce StructmRNA, a new BERT-based model that was designed for the detailed analysis of mRNA sequences and structures. The success of DNABERT in understanding the intricate language of non-coding DNA with bidirectional encoder representations is extended to mRNA with StructmRNA. This new model uses a special dual-level masking technique that covers both sequence and structure, along with conditional masking. This enables StructmRNA to adeptly generate meaningful embeddings for mRNA sequences, even in the absence of explicit structural data, by capitalizing on the intricate sequence-structure correlations learned during extensive pre-training on vast datasets. Compared to well-known models like those in the Stanford OpenVaccine project, StructmRNA performs better in important tasks such as predicting RNA degradation. Thus, StructmRNA can inform better RNA-based treatments by predicting the secondary structures and biological functions of unseen mRNA sequences. The proficiency of this model is further confirmed by rigorous evaluations, revealing its unprecedented ability to generalize across various organisms and conditions, thereby marking a significant advance in the predictive analysis of mRNA for therapeutic design. With this work, we aim to set a new standard for mRNA analysis, contributing to the broader field of genomics and therapeutic development.

Extracellular vesicle-incorporated long noncoding RNA PUNISHER is increased in coronary artery disease and regulates endothelial cell function

Abstract Aims Long noncoding RNAs (lncRNAs) have emerged as biomarkers and regulators of cardiovascular disease. Circulating lncRNAs can be incorporated into extracellular vesicles (EVs). Our aim was to study the expression pattern of circulating EV-incorporated lncRNAs in patients with and without coronary artery disease (CAD). The regulation of the lncRNA PUNISHER was further assessed as an intercellular messenger in endothelial cell (EC) biology. Methods and results Circulating EVs were isolated from the plasma of patients using ultracentrifugation. Electron microscopy, western blot, and NTA were used to determine the size and origin of the EVs. PCR-based human lncRNA array analysis revealed that certain EV-lncRNAs are significantly different in patients with CAD compared to patients without CAD. To validate the lncRNA array results, 60 patients with (n=30) or without (n=30) CAD were prospectively studied. Four atherosclerosis-related lncRNAs (PUNISHER, GAS5, MALAT1, and H19) were quantified in the circulating EVs by using real-time quantitative PCR (RT-qPCR). Among these, PUNISHER (p=0.002) and GAS5 (0.02) were significantly increased in patients with CAD, compared to non-CAD patients. Analysis of RNA degradation revealed that circulating PUNISHER is mainly incorporated within EVs. In vitro, atherosclerotic stimuli consisting of oxLDL or TNF-a treatment caused an upregulation of PUNISHER levels in human coronary artery endothelial cells (HCAEC) and in the corresponding EVs. Labeling of EVs followed by RT-qPCR demonstrated that functional PUNISHER was transported into the recipient ECs, which accelerated cell migration, proliferation, and tube formation. Mechanistically, the RNA-binding protein hnRNPK was identified by an RNA immunoprecipitation (RIP) assay as an interaction partner of PUNISHER, regulating its loading into small EVs. Knockdown of PUNISHER abrogated the EV-mediated effects on EC migration, proliferation, and tube formation. PCR-based gene profiling showed that the expression of VEGF RNA was significantly increased in ECs by treatment with EVs. Protein stability and RNA-immunoprecipitation followed by RT-qPCR analysis indicated that the PUNISHER-hnRNPK axis regulates the stability and binding of VEGFA mRNA to hnRNPK. Knockdown of PUNISHER in EVs abrogated the EV-mediated promotion of VEGFA gene- and protein expression. Conclusion The circulating lncRNA PUNISHER is increased in CAD patients. Intercellular transfer of EV-incorporated PUNISHER promotes a pro-angiogenic phenotype via a VEGFA-dependent mechanism.

Aptamer-based assay for high-throughput substrate profiling of RNA decapping enzymes.

Recent years have led to the identification of a number of enzymes responsible for RNA decapping. This has provided a basis for further research to identify their role, dependency and substrate specificity. However, the multiplicity of these enzymes and the complexity of their functions require advanced tools to study them. Here, we report a high-throughput fluorescence intensity assay based on RNA aptamers designed as substrates for decapping enzymes. Using a library of differently capped RNA probes we generated a decapping susceptibility heat map, which confirms previously reported substrate specificities of seven tested hydrolases and uncovers novel. We have also demonstrated the utility of our assay for evaluating inhibitors of viral decapping enzymes and performed kinetic studies of the decapping process. The assay may accelerate the characterization of new decapping enzymes, enable high-throughput screening of inhibitors and facilitate the development of molecular tools for a better understanding of RNA degradation pathways.

GTSF1 is required for transposon silencing in the unicellular eukaryote Paramecium tetraurelia.

The PIWI-interacting RNA (piRNA) pathway is crucial for transposon repression and the maintenance of genomic integrity. Gametocyte-specific factor 1 (GTSF1), a PIWI-associated protein indispensable for transposon repression, has been recently shown to potentiate the catalytic activity of PIWI in many metazoans. Whether the requirement of GTSF1 extends to PIWI proteins beyond metazoans is unknown. In this study, we identified a homolog of GTSF1 in the unicellular eukaryote Paramecium tetraurelia (PtGtsf1) and found that its role as a PIWI-cofactor is conserved. PtGtsf1 interacts with PIWI (Ptiwi09) and Polycomb Repressive Complex 2 and is essential for PIWI-dependent DNA elimination of transposons during sexual development. PtGtsf1 is crucial for the degradation of PIWI-bound small RNAs that recognize the organism's own genomic sequences. Without PtGtsf1, self-matching small RNAs are not degraded and results in an accumulation of H3K9me3 and H3K27me3, which may disturb transposon recognition. Our results demonstrate that the PIWI-GTSF1 interaction also exists in unicellular eukaryotes with a role in transposon silencing.

Protein Recruitment to Dynamic DNA-RNA Host Condensates.

We describe the design and characterization of artificial nucleic acid condensates that are engineered to recruit and locally concentrate proteins of interest in vitro. These condensates emerge from the programmed interactions of nanostructured motifs assembling from three DNA strands and one RNA strand that can include an aptamer domain for the recruitment of a target protein. Because condensates are designed to form regardless of the presence of target protein, they function as "host" compartments. As a model protein, we consider Streptavidin (SA) due to its widespread use in binding assays. In addition to demonstrating protein recruitment, we describe two approaches to control the onset of condensation and protein recruitment. The first approach uses UV irradiation, a physical stimulus that bypasses the need for exchanging molecular inputs and is particularly convenient to control condensation in emulsion droplets. The second approach uses RNA transcription, a ubiquitous biochemical reaction that is central to the development of the next generation of living materials. We then show that the combination of RNA transcription and degradation leads to an autonomous dissipative system in which host condensates and protein recruitment occur transiently and that the host condensate size as well as the time scale of the transition can be controlled by the level of RNA-degrading enzyme. We conclude by demonstrating that biotinylated beads can be recruited to SA-host condensates, which may therefore find immediate use for the physical separation of a variety of biotin-tagged components.

The Role of MicroRNA in the Pathophysiology and Diagnosis of Viral Myocarditis

Myocarditis is a non-ischemic condition with a heterogeneous etiology, clinical course and prognosis. The most common etiology of myocarditis are viral infections, whereas the most severe complications are acute and chronic heart failure and sudden cardiac death. The heterogeneous clinical course of the disease, as well as the availability and costs of diagnostic tools such as cardiac magnetic resonance and endomyocardial biopsy, hinder the diagnosis of myocarditis and its underlying cause. Non-coding RNAs such as micro-RNAs (miRNAs; miR) have been shown to be involved in the disease’s pathophysiology; however, their potential in disease diagnosis and treatment should also be considered. Non-coding RNAs are RNAs that are not translated into proteins, and they have the ability to regulate several intracellular pathways. MiRNAs regulate gene expression by binding with their targets and inhibiting protein synthesis by interfering with the translation of coding genes or causing the degradation of messenger RNA. Several miRNAs, such as miR-1, -133, -21, -15, -98, -126, -155, -148, -203, -208, -221, -222, -203 and -590, have been shown to be involved in the pathophysiology of viral myocarditis (VMC), and some of them have been shown to have diagnostic abilities. This article summarizes the available data on miRNAs and their associations with VMC.

Graphene quantum dots disrupt the mitochondrial potential of Trypanosoma brucei by interacting with the p18 subunit of ATP synthase F1 after endocytosis via the VSG recycling pathway

HypothesisTrypanosomiasis is one of the main threats to human and animal health in African countries. Trypanosoma brucei can evade the host immune recognition by rapidly altering its variant surface glycoprotein (VSG). The ATP synthase F1 subunit of the parasite exhibits extremely low similarity to that of its mammalian hosts, hypothetically making it an ideal target for the development of novel therapeutics. ExperimentsGraphene quantum dots (GQDs) were synthesized, and their adhesion to T. brucei surface and internalization was observed microscopically. The activity of ATP synthase and mitochondrial membrane potential of T. brucei were measured after exposure to GQDs. Proteomics, biolayer interferometry, and molecular dynamic simulations were utilized to evaluate the interaction between GQDs with the target proteins. FindingsGQDs specifically adhered to the VSG of T. brucei and were conveyed inside the parasite via the VSG internalization pathway. The GQDs promoted intracellular ROS production, interacted with, and inhibited the activity of the p18 subunit of ATP synthase, disrupted parasite mitochondrial membrane potential. Additionally, the GQDs caused a decrease in aminoacyl – tRNA biosynthesis, and upregulated RNA and protein degradation pathways. The findings of this study offer a novel avenue for the target-oriented discovery of anti-trypanosome drugs.

Oncogenic KRAS drives immunosuppression of colorectal cancer by impairing DDX60-mediated dsRNA accumulation and viral mimicry.

The interferon (IFN) response is vital for the effectiveness of immune checkpoint inhibition (ICI) therapy. Our previous research showed that KRAS (Kirsten rat sarcoma viral) mutation impairs the IFN response in colorectal cancer (CRC), with an unclear mechanism. Here, we demonstrate that KRAS accelerates double-stranded RNA (dsRNA) degradation, impairing dsRNA sensing and IFN response by down-regulating DExD/H-box helicase 6 (DDX60). DDX60 was identified as a KRAS target here and could bind to dsRNAs to protect against RNA-induced silencing complex (RISC)-mediated degradation. Overexpressing DDX60 induced dsRNA accumulation, reactivated IFN signaling, and increased CRC sensitivity to ICI therapy. Mechanistically, KRAS engaged the AKT (also known as protein kinase B)-GSK3β (glycogen synthase kinase-3 beta) pathway to suppress STAT3 phosphorylation, thereby inhibiting STAT3-driven DDX60 transcription. Our findings reveal a role for KRAS in dsRNA homeostasis, suggesting potential strategies to convert "cold" tumors to "hot" and to overcome ICI resistance in CRC with KRAS mutations.

Regulation of maize growth and immunity by ZmSKI3-mediated RNA decay and post-transcriptional gene silencing.

Disease resistance is often associated with compromised plant growth and yield due to defense-growth tradeoffs. However, key components and mechanisms underlying the defense-growth tradeoffs are rarely explored in maize. In this study, we find that ZmSKI3, a putative subunit of the SUPERKILLER (SKI) complex that mediates the 3'-5' degradation of RNA, regulates both plant development and disease resistance in maize. The Zmski3 mutants showed retarded plant growth and constitutively activated defense responses, while the ZmSKI3 overexpression lines are more susceptible to Curvularia lunata and Bipolaris maydis. Consistently, the expression of defense-related genes was generally up-regulated, while expressions of growth-related genes were mostly down-regulated in leaves of the Zmski3-1 mutant compared to that of wild type. In addition, 223 differentially expressed genes that are up-regulated in Zmski3-1 mutant but down-regulated in the ZmSKI3 overexpression line are identified as potential target genes of ZmSKI3. Moreover, small interfering RNAs targeting the transcripts of the defense- and growth-related genes are differentially accumulated, likely to combat the increase of defense-related transcripts but decrease of growth-related transcripts in Zmski3-1 mutant. Taken together, our study indicates that plant growth and immunity could be regulated by both ZmSKI3-mediated RNA decay and post-transcriptional gene silencing in maize.

Selective degradation of phage RNAs by the Csm6 ribonuclease provides robust type III CRISPR immunity in Streptococcus thermophilus.

Type III CRISPR immune systems bind viral or plasmid RNA transcripts and activate Csm3/Cmr4 and Cas10 nucleases to uniquely cleave both invader RNA and DNA, respectively. Additionally, type III effector complexes generate cyclic oligoadenylate (cOA) signaling molecules to activate trans-acting, auxiliary Csm6/Csx1 ribonucleases, previously proposed to be non-specific in their in vivo RNA cleavage preference. Despite extensive in vitro studies, the nuclease requirements of type III systems in their native contexts remain poorly understood. Here we systematically investigated the in vivo roles for immunity of each of the three Streptococcus thermophilus (Sth) type III-A Cas nucleases and cOA signaling by challenging nuclease defective mutant strains with plasmid and phage infections. Our results reveal that RNA cleavage by Csm6 is both sufficient and essential for maintaining wild-type levels of immunity. Importantly, Csm6 RNase activity leads to immunity against even high levels of phage challenge without causing host cell dormancy or death. Transcriptomic analyses during phage infection indicated Csm6-mediated and crRNA-directed preferential cleavage of phage transcripts. Our findings highlight the critical role of Csm6 RNase activity in type III immunity and demonstrate specificity for invader RNA transcripts by Csm6 to ensure host cell survival upon phage infection.

B-089 Pseudo-clonal Increased IgG4 with Polyclonal Distribution Demonstrated by MALDI-TOF-MS in a Pediatric Patient with Tricho-Hepato-Enteric Syndrome (THES)

Abstract Background THES is a rare autosomal recessive syndromic enteropathy caused by pathogenic variants in two genes, the Tetratricopeptide Repeat Domain 37 (TTC37) and Ski2 Like RNA Helicase (SKIV2L), that encode components of the human SKI complex involved in RNA degradation. This disease is characterized by several clinical features with variable penetrance including intractable congenital diarrhea, wooly hair abnormalities, intrauterine growth restriction, facial dysmorphism, immune dysfunction, liver abnormalities, and skin hyperpigmentation. Hypogammaglobulinemia with low IgG and normal to low IgM levels have been described in these cases which may require intravenous immunoglobulin (IVIG) replacement therapy. Some cases have a reduced population of switched memory B cells, T cells with reduced IFN-γ secretion, and hyporesponsive NK cells. Our patient is a 4-year-old female reported to have a homozygous TTC37 mutation with clinical manifestations of TPN dependence, liver fibrosis with portal hypertension, splenomegaly, developmental delay, thrombocytopenia and anemia requiring transfusion, and a history of hypogammaglobinemia requiring IVIG replacement. Patient would go on to develop elevated immunoglobin levels leading to additional testing described below. Methods Serum total protein analysis performed using the using Siemens Atellica CH Total Protein II test (Weichselbaum method using biuret reagent). Serum immunoglobin (IgA, IgG and IgG), IgG subclass, and kappa/lambda free light chain level analysis performed by turbidimetric photometry assay using a Binding Site Optilite analyzer. Serum protein electrophoresis and immunotyping performed using CAPILLARYS 2 capillary zone electrophoresis and immunosubtraction with antisera. Serum protein immunofixation performed using Sebia Hydrasys 2 with Hydragel 9 IF Maxi kit. Confirmation and final determination of serum immunoproteins performed at our reference laboratory using MASS-FIX (MALDI-TOF MS) matrix-assisted laser desorption/ionization-time of flight mass spectrometry after patient serum applied to 5 separate immunoaffinity resins specific to immunoglobulin G, A, M, K, and L for purification. Results Initial testing showed a broadly migrating beta-gamma region IgG kappa monotypic restriction measuring 1.7 g/dL, with predominantly kappa subtraction and trivial lambda subtraction by immunosubtraction; serum free kappa/lambda light chain ratio was increased at 22.94. Serum immunoglobins and free light chains measured (mg/dL): IgA 738 (15 - 160), IgM 48 (50 - 240), IgG 2,805 (405 - 1,160), free kappa 20.42 (0.33 - 1.94), and free lambda 0.89 (0.57 - 2.63). IgG subclasses measured (mg/dL): IgG1 533 (320 - 950), IgG2 174 (50 - 340), IgG3 16.9 (10.0 - 120.0), IgG4 1,221.1 (2.0 - 110.0). Additional serum protein values included (g/dL): total protein 8.10 (6.00 - 8.30), albumin 2.97 (3.43 - 4.84), alpha-1 0.32 (0.21 - 0.44), alpha-2 0.52 (0.54 - 0.97), beta globulin 3.42 (0.65 - 1.03), and gamma globulin 0.87 (0.70 - 2.30). The polyclonal nature of the IgG4 spike was later demonstrated by the MASS-FIX mass spectrograph. Conclusions MASS-FIX is a useful addition to the toolset used in the diagnosis of possible monoclonal gammopathies and protein disorders, especially where broad monotypic restrictions are observed or in patients with abnormal presentations for monoclonal gammopathies. Using current standard techniques, the above case could have been incorrectly classified as a monoclonal process resulting in unnecessary cost and incorrect treatment.

MMP7, Regulated by c-Jun, is Involved in Oral Squamous Cell Carcinoma and Associated with Cancer-Related Fibroblasts Infiltration.

This study aimed to analyze the expression of Matrix Metalloproteinase 7 (MMP7) and molecular mechanism at the Transcription Factor (TF) level in Oral Squamous Cell Carcinoma (OSCC). MMP7 expression was preliminarily explored in Head and Neck Squamous Cell Car-cinoma (HNSCC) in the online database, followed by functional analysis and prediction of TF of MMP7. IHC was employed to detect MMP7 levels in OSCC samples. SCC9 and 293T cells were used to explore the transcriptional and regulatory effects of predicted TF on MMP7 by reporter double luciferase assay, RT-qPCR, western blotting, and cellular immunofluorescence. Transwell and TUNEL were employed to detect the migration and apoptosis. MMP7 was significantly up-regulated in HNSCC and OSCC tissues. Moreover, MMP7 was positively correlated with CAFs and significantly enriched in the signaling pathway of RNA degradation. The c-Jun pathway was also up-regulated in OSCC tissues, and predicted to be optimal TF of MMP7 with positive regulatory relationship. In OSCC, silencing and over-expression of c-Jun significantly decreased and increased the level of MMP7. Meanwhile, c-Jun affected the behavior of SCC9 cells, which showed that after c-Jun gene silencing, the ability of cell migration was weakened, while apoptosis was enhanced. When c-Jun gene was overexpressed, the migration ability was enhanced, but apoptosis was not significantly affected. MMP7 has been proven to be a key protein in the development of OSCC, and has the potential to become a biological marker and therapeutic target. It has been found that c-Jun could bind to the MMP7 promoter region, and the silencing or overexpression of c-Jun can positively regulate the expression of MMP7.

Identification of a Novel Gene MtbZIP60 as a Negative Regulator of Leaf Senescence through Transcriptome Analysis in Medicago truncatula.

Leaves are the primary harvest portion in forage crops such as alfalfa (Medicago sativa). Delaying leaf senescence is an effective strategy to improve forage biomass production and quality. In this study, we employed transcriptome sequencing to analyze the transcriptional changes and identify key senescence-associated genes under age-dependent leaf senescence in Medicago truncatula, a legume forage model plant. Through comparing the obtained expression data at different time points, we obtained 1057 differentially expressed genes, with 108 consistently up-regulated genes across leaf growth and senescence. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analyses showed that the 108 SAGs mainly related to protein processing, nitrogen metabolism, amino acid metabolism, RNA degradation and plant hormone signal transduction. Among the 108 SAGs, seven transcription factors were identified in which a novel bZIP transcription factor MtbZIP60 was proved to inhibit leaf senescence. MtbZIP60 encodes a nuclear-localized protein and possesses transactivation activity. Further study demonstrated MtbZIP60 could associate with MtWRKY40, both of which exhibited an up-regulated expression pattern during leaf senescence, indicating their crucial roles in the regulation of leaf senescence. Our findings help elucidate the molecular mechanisms of leaf senescence in M. truncatula and provide candidates for the genetic improvement of forage crops, with a focus on regulating leaf senescence.

Identification of Human Pathways Acting on Nuclear Non-Coding RNAs Using the Mirror Forward Genetic Approach.

Despite critical roles in diseases, human pathways acting on strictly nuclear non-coding RNAs have been refractory to forward genetics. To enable their forward genetic discovery, we developed a single-cell approach that "Mirrors" activities of nuclear pathways with cytoplasmic fluorescence. Application of Mirror to two nuclear pathways targeting MALAT1's 3' end, the pathway of its maturation and the other, the degradation pathway blocked by the triple-helical Element for Nuclear Expression (ENE), identified nearly all components of three complexes: Ribonuclease P and the RNA Exosome, including nuclear DIS3, EXOSC10, and C1D, as well as the Nuclear Exosome Targeting (NEXT) complex. Additionally, Mirror identified DEAD-box helicase DDX59 associated with the genetic disorder Oral-Facial-Digital syndrome (OFD), yet lacking known substrates or roles in nuclear RNA degradation. Knockout of DDX59 exhibits stabilization of the full-length MALAT1 with a stability-compromised ENE and increases levels of such long non-coding RNAs as NEAT1_1 and NIPBL-DT, as well as 3'-extended forms of small nuclear RNAs. It also exhibits extensive retention of minor introns, including in OFD-associated genes, suggesting a mechanism for DDX59 association with OFD. Mirror efficiently identifies pathways acting on strictly nuclear non-coding RNAs, including essential and indirectly-acting components, and, as a result, uncovers unexpected links to human disease.

The nuclear exosome subunit HEN2 acts independently of the core exosome to assist transcription in Arabidopsis.

Regulation of gene expression is at the frontier of plant responses to various external stimuli including stress. RNA polymerase-based transcription and post-transcriptional degradation of RNA play vital roles in this regulation. Here, we show that HUA ENHANCER 2 (HEN2), a co-factor of the nuclear exosome complex, influences RNAPII transcription elongation in Arabidopsis (Arabidopsis thaliana) under cold conditions. Our results demonstrate that a hen2 mutant is cold sensitive and undergoes substantial transcriptional changes compared to wild type when exposed to cold conditions. We found an accumulation of 5' fragments from a subset of genes (including C-repeat binding factors 1-3 [CBF1-3]) that do not carry over to their 3' ends. In fact, hen2 mutants have lower levels of full-length mRNA for a subset of genes. This distinct 5'-end accumulation and 3'-end depletion was not observed in other NEXT complex members or core exosome mutants, highlighting HEN2's distinctive role. We further used RNAPII-associated nascent RNA to confirm the transcriptional phenotype is a result of lower active transcription specifically at the 3'-end of these genes in a hen2 mutant. Taken together, our data point to the unique role of HEN2 in maintaining RNAPII transcription dynamics especially highlighted under cold stress.

M6ATM: a deep learning framework for demystifying the m6A epitranscriptome with Nanopore long-read RNA-seq data.

N6-methyladenosine (m6A) is one of the most abundant and well-known modifications in messenger RNAs since its discovery in the 1970s. Recent studies have demonstrated that m6A is involved in various biological processes, such as alternative splicing and RNA degradation, playing an important role in a variety of diseases. To better understand the role of m6A, transcriptome-wide m6A profiling data are indispensable. In recent years, the Oxford Nanopore Technology Direct RNA Sequencing (DRS) platform has shown promise for RNA modification detection based on current disruptions measured in transcripts. However, decoding current intensity data into modification profiles remains a challenging task. Here, we introduce the m6A Transcriptome-wide Mapper (m6ATM), a novel Python-based computational pipeline that applies deep neural networks to predict m6A sites at a single-base resolution using DRS data. The m6ATM model architecture incorporates a WaveNet encoder and a dual-stream multiple-instance learning model to extract features from specific target sites and characterize the m6A epitranscriptome. For validation, m6ATM achieved an accuracy of 80% to 98% across in vitro transcription datasets containing varying m6A modification ratios and outperformed other tools in benchmarking with human cell line data. Moreover, we demonstrated the versatility of m6ATM in providing reliable stoichiometric information and used it to pinpoint PEG10 as a potential m6A target transcript in liver cancer cells. In conclusion, m6ATM is a high-performance m6A detection tool, and our results pave the way for future advancements in epitranscriptomic research.

Abstract C092: Transcriptome analysis of human endogenous retroviral elements in tumor microenvironment of prostate cancer patients of different ancestry

Abstract Background: Prostate cancer (PCa) poses unique challenges for Non-Hispanic Black Americans (BA), who often face poorer outcomes than Non-Hispanic White Americans (WA). Even after adjusting for socioeconomic factors, BAs are diagnosed younger and experience more severe clinical effects, potentially due to the tumor microenvironment. Within PCa, Endogenous Retroviruses (ERVs) have been shown to regulate immune response genes and have prognostic value in PCa. Despite constituting 8% of the human, ERVs' role in the tumor microenvironment remains incompletely understood. These findings highlight the need to target microenvironment dysregulation in solid tumor therapies, especially for ERV expression in prostate cancer. Methods: Using RNA-sequencing, we investigated the expression of ERVs in BA (n=18) and WA (n=14) tumor adjacent stroma (TAS) samples. We analyzed reads by mapping them to the human genome (hg38). We then used bedtools and data from the Human Endogenous Retrovirus database (HERVd) to calculate the number of reads at each ERV locus (n=519,060). Differentially expressed ERV elements were then identified in an Audic Claverie Test (fold- change cutoff of 2 and padj < 0.05). The expression of protein-coding genes in the same BA (n=18) and WA (n=14) TAS samples was investigated using RNA-sequencing. Regulation of significant ERV elements were compared to the regulation of nearby immune response genes between the two races. We developed primary stroma (carcinoma associated fibroblast, CAFs) culture of different races with PCa using fresh prostatectomy tissues. To investigate the biological functions of ERVs in CAFs, we developed FANA oligonucleotides (synthetic single- stranded nucleic acid analogs that can modulate gene expression by enzymatic degradation of a target RNA) and corresponding primers to knock down specific ERV sequences near key immune response genes in prostate cancer. Results: We examined 32 prostatectomy specimens of BA (n=18) and WA (n=14) PCa. Of the 5,786 statistically significant differentially expressed ERV elements between BA and WA TAS that were identified, 3,274 elements had an increase in ERV expression for BA TAS, and 2,512 elements had a decrease in ERV expression for BA TAS. 61 MER41 elements were found to be differentially expressed between the two races. The MER family sequences contain binding sites for transcription factors that are crucial in cancer, such as STAT1. This transcription factor can regulate genes involved in cell proliferation, apoptosis, and DNA repair. MER41 is in close proximity (within 5000 base pairs) to IFNA6, an immune response gene. We found both MER41 and IFNA6 to be downregulated in BA TAS, as compared to their WA counterparts. We developed FANA oligonucleotides to knockdown MER41E, MER61-Int, HERVL-Int, MLT1A, and LTR61E1 to investigate their effect on nearby gene expression. Conclusion: The CAF models from PCa patients of different races can be used to explore the biological function of ERV inactivation on anti-tumor immune response genes within the tumor microenvironment. Citation Format: Tara S. K. Jennings, Vinay Kumar, Anton N. Nguyen, Michael M. Ittmann, Patricia Castro, Farah Rahmatpanah. Transcriptome analysis of human endogenous retroviral elements in tumor microenvironment of prostate cancer patients of different ancestry [abstract]. In: Proceedings of the 17th AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2024 Sep 21-24; Los Angeles, CA. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2024;33(9 Suppl):Abstract nr C092.

Increased RNA and protein degradation is required for counteracting transcriptional burden and proteotoxic stress in human aneuploid cells.

Aneuploidy results in a stoichiometric imbalance of protein complexes that jeopardizes cellular fitness. Aneuploid cells thus need to compensate for the imbalanced DNA levels by regulating their RNA and protein levels, but the underlying molecular mechanisms remain unknown. Here, we dissected multiple diploid vs. aneuploid cell models. We found that aneuploid cells cope with transcriptional burden by increasing several RNA degradation pathways, and are consequently more sensitive to the perturbation of RNA degradation. At the protein level, aneuploid cells mitigate proteotoxic stress by reducing protein translation and increasing protein degradation, rendering them more sensitive to proteasome inhibition. These findings were recapitulated across hundreds of human cancer cell lines and primary tumors, and aneuploidy levels were significantly associated with the response of multiple myeloma patients to proteasome inhibitors. Aneuploid cells are therefore preferentially dependent on several key nodes along the gene expression process, creating clinically-actionable vulnerabilities in aneuploid cells.

Embryonic Genome Activation (EGA) Occurred at 1-Cell Stage of Embryonic Development in the Mud Crab, Scylla paramamosain, Revealed by RNA-Seq.

As a prerequisite for the success of embryo development, embryonic genome activation (EGA) is an important biological event in which zygotic gene products in the embryo are activated to replace maternal-derived transcripts. Although EGA has been extensively studied in a large number of vertebrates and invertebrates, there is a lack of information regarding this event in crustacean crab. In this study, the timing of EGA was confirmed by examining a transcriptomic dataset of early embryonic development, including mature oocytes and embryos through six early developmental stages, and signaling pathways associated with EGA were identified in the mud crab, S. paramamosain. The comprehensive transcriptomic data identified a total of 53,915 transcripts from these sequencing samples. Notable transcriptomic change was evident at the 1-cell stage, indicated by a 36% transcript number shift and a reduction in transcript fragment length, compared to those present in the mature oocytes. Concurrently, a substantial increase in the expression of newly transcribed transcripts was observed, with gene counts reaching 3485 at the 1-cell stage, indicative of the onset of EGA. GO functional enrichment revealed key biological processes initiated at the 1-cell stage, such as protein complex formation, protein metabolism, and various biosynthetic processes. KEGG analysis identified several critical signaling pathways activated during EGA, including the "cell cycle," "spliceosome," "RNA degradation", and "RNA polymerase", pathways. Furthermore, transcription factor families, including zinc finger, T-box, Nrf1, and Tub were predominantly enriched at the 1-cell stage, suggesting their pivotal roles in regulating embryonic development through the targeting of specific DNA sequences during the EGA process. This groundbreaking study not only addresses a significant knowledge gap regarding the developmental biology of S. paramamosain, especially for the understanding of the mechanism underlying EGA, but also provides scientific data crucial for the research on the individual synchronization of seed breeding within S. paramamosain aquaculture. Additionally, it serves as a reference basis for the study of early embryonic development in other crustacean species.

DeepKINET: a deep generative model for estimating single-cell RNA splicing and degradation rates

Messenger RNA splicing and degradation are critical for gene expression regulation, the abnormality of which leads to diseases. Previous methods for estimating kinetic rates have limitations, assuming uniform rates across cells. DeepKINET is a deep generative model that estimates splicing and degradation rates at single-cell resolution from scRNA-seq data. DeepKINET outperforms existing methods on simulated and metabolic labeling datasets. Applied to forebrain and breast cancer data, it identifies RNA-binding proteins responsible for kinetic rate diversity. DeepKINET also analyzes the effects of splicing factor mutations on target genes in erythroid lineage cells. DeepKINET effectively reveals cellular heterogeneity in post-transcriptional regulation.