RNA Splice Variants Research Articles

Dysregulation and Therapeutic Targeting of RNA Splicing Variants in Cancer

mRNA splicing constitutes a crucial biological phenomenon characterized by the excision of introns from pre-mRNA, followed by the synthesis of mature mRNA through the concatenation of the remaining exons. In eukaryotic cells, the process of alternative splicing introduces a diverse array of exon combinations, thereby exerting a significant influence on the generation of protein diversity. The occurrence of recurrent mutations during RNA splicing or within the core components of the spliceosome is implicated in the etiology and progression of diverse diseases, prominently including cancer. This review article scrutinizes the aberrations in RNA splicing linked to cancer and explores therapeutic endeavors directed at addressing mutations in RNA splicing.

Downregulation of Splicing Factor PTBP1 Curtails FBXO5 Expression to Promote Cellular Senescence in Lung Adenocarcinoma.

Polypyrimidine tract-binding protein 1 (PTBP1) plays an essential role in splicing and post-transcriptional regulation. Moreover, PTBP1 has been implicated as a causal factor in tumorigenesis. However, the involvement of PTBP1 in cellular senescence, a key biological process in aging and cancer suppression, remains to be clarified. Here, it is shown that PTBP1 is associated with the facilitation of tumor growth and the prognosis in lung adenocarcinoma (LUAD). PTBP1 exhibited significantly increased expression in various cancer types including LUAD and showed consistently decreased expression in multiple cellular senescence models. Suppression of PTBP1 induced cellular senescence in LUAD cells. In terms of molecular mechanisms, the silencing of PTBP1 enhanced the skipping of exon 3 in F-box protein 5 (FBXO5), resulting in the generation of a less stable RNA splice variant, FBXO5-S, which subsequently reduces the overall FBXO5 expression. Additionally, downregulation of FBXO5 was found to induce senescence in LUAD. Collectively, these findings illustrate that PTBP1 possesses an oncogenic function in LUAD through inhibiting senescence, and that targeting aberrant splicing mediated by PTBP1 has therapeutic potential in cancer treatment.

Changes in levels of the zinc transporter SLC39A12 in Brodmann's area 44: Effects of sex, suicide, CNS pH and schizophrenia

Disturbed CNS zinc homeostasis is suggested as part of the pathophysiology of schizophrenia. Our data, from multiple studies, suggests levels of cortical RNA for the solute carrier family 39 member 12 (SLC39A12), a putative zinc transporter, is higher in people with schizophrenia and is more perturbed in a sub-group of people with the disorder that can be separated because they have very low levels of muscarinic M1 receptors (MRDS). In this study qPCR was used to measure levels of two RNA splice variants of SLC39A12 (a and b) in Brodmann's area (BA) 44 from new cohorts of controls and people with schizophrenia. For the first time, in our study cohort as a whole, we report levels of both splice variants of SLC39A12 are lower in females compared to males and there are correlations between levels of SLC39A12 a and b and CNS pH. Levels of both splice variants were also lower in people with schizophrenia who were suicide completers compared to those who were not. Accounting for these factors, we showed levels of SLC39A12 a and b were higher in BA 44 in schizophrenia compared to controls. In further analyses, with and without our previous data on SLC39A12 a and b, we confirmed changes in levels of SLC39A12 RNAs were more profound in MRDS. In conclusion, our study argues there are higher levels of SLC39A12 a and b in BA 44 in schizophrenia which could be contributing to the breakdown in CNS zinc homeostasis suggested as part of the pathophysiology of schizophrenia, particularly in those with MRDS.

RNA splicing variants of the novel long non-coding RNA, CyKILR, possess divergent biological functions in non-small cell lung cancer.

The CDKN2A gene, responsible for encoding the tumor suppressors p16(INK4A) and p14(ARF), is frequently inactivated in non-small cell lung cancer (NSCLC). In this study, an uncharacterized long non-coding RNA (lncRNA) (ENSG00000267053) on chromosome 19p13.12 was found to be overexpressed in NSCLC cells with an active CDKN2A gene. This lncRNA, named Cy clin-Dependent K inase I nhibitor 2A-regulated l nc R NA (CyKILR), also correlated with the STK11 gene-coded tumor suppressor Liver kinase B1 (LKB1). CyKILR displayed two splice variants, CyKILRa (with exon 3) and CyKILRb (without exon 3), which are synergistically regulated by CDKN2A and STK11 as knockdown of both tumor suppressor genes led to a significant loss of exon 3 inclusion in mature CyKILR RNA. CyKILRa localized to the nucleus, and its downregulation using antisense RNA oligonucleotides enhanced cellular proliferation, migration, clonogenic survival, and tumor incidence. In contrast, CyKILRb localized to the cytoplasm, and downregulation of CyKILRb using siRNA reduced cell proliferation, migration, clonogenic survival, and tumor incidence. Transcriptomics analyses revealed enhancement of apoptotic pathways with concomitant suppression of key cell cycle pathways by CyKILRa demonstrating its tumor-suppressive role, while CyKILRb inhibited tumor suppressor microRNAs, indicating an oncogenic nature. These findings elucidate the intricate roles of lncRNAs in cell signaling and tumorigenesis.

Top-down proteomics.

Proteoforms, which arise from post-translational modifications, genetic polymorphisms and RNA splice variants, play a pivotal role as drivers in biology. Understanding proteoforms is essential to unravel the intricacies of biological systems and bridge the gap between genotypes and phenotypes. By analysing whole proteins without digestion, top-down proteomics (TDP) provides a holistic view of the proteome and can decipher protein function, uncover disease mechanisms and advance precision medicine. This Primer explores TDP, including the underlying principles, recent advances and an outlook on the future. The experimental section discusses instrumentation, sample preparation, intact protein separation, tandem mass spectrometry techniques and data collection. The results section looks at how to decipher raw data, visualize intact protein spectra and unravel data analysis. Additionally, proteoform identification, characterization and quantification are summarized, alongside approaches for statistical analysis. Various applications are described, including the human proteoform project and biomedical, biopharmaceutical and clinical sciences. These are complemented by discussions on measurement reproducibility, limitations and a forward-looking perspective that outlines areas where the field can advance, including potential future applications.

Simultaneous detection of tumor-derived mutations in DNA and RNA extracted from a single circulating tumor cell based on droplet digital polymerase chain reaction.

e15053 Background: Androgen receptor splice variant 7 (AR-V7) is a constitutively activated isoform of AR and has been associated with resistance to AR-targeted therapies and development of metastatic castration-resistant prostate cancer. Confirmation of AR-V7 expression is important step in prostate cancer diagnosis and determining the appropriate drug, however, the detection of AR-V7 with tissues has limitations, such as the clinical challenge to poorly accessible tumor tissues before and after therapy. In addition, KRAS mutations serve as a prognostic biomarker for the administration of appropriate anti-cancer drugs in patients with various cancers, including non-small cell lung cancer (NSCLC). Here, we developed the process for the simultaneous detection of AR-V7 and KRAS mutation in CTCs using isolation with CytoGen’s Smart Biopsy™ System with droplet digital polymerase chain reaction (ddPCR) with high sensitivity and specificity, overcoming the limitations of tissue biopsy. Methods: ddPCR assays were performed to detect the KRAS G12C mutation using CTC gDNA and to evaluate the absolute levels of AR-V7 using CTC mRNA. Analytical validation was performed using NSCLC NCI-H358 and prostate cancer 22Rv1 cells (10 and 5 cells each), which harbor KRAS G12C and AR-V7, respectively, spiked into 5 mL of healthy blood to mimic CTC. CTCs were isolated using CytoGen's Smart Biopsy™ System. Oligo-dT magnetic beads were used to isolate mRNA from CTCs, and gDNA was isolated from the mRNA-depleted CTC lysates using the AllPrep DNA/mRNA Nano Kit. PCR and droplet reading for each assay were performed on the QX200 AutoDG Droplet Digital PCR System. Results: As a result of CTC KRAS G12C detection using the ddPCR™ KRAS G12/G13 Screening Kit, the mutated KRAS gene was successfully detected in as few as 5 NCI-H358 cells. In the results of CTC AR-V7 detection using the custom TaqMan ddPCR assay, transcripts (AR-V7 and HPRT1) were successfully detected even with only 5 22Rv1 cells. These results suggest that CytoGen's Smart Biopsy™ System could be applied to the simultaneous detection of DNA/RNA mutated genes in clinical NSCLC and prostate cancer patients with detection technology requiring high sensitivity and specificity. Conclusions: Accurately detecting multiple genetic mutations in CTCs is a challenging because CTCs are very rare in the blood. In this study, we developed the process to simultaneously extract and detect DNA mutations and RNA splicing variants in CTCs using CytoGen's Smart Biopsy™ System. This process, along with the results from our ongoing clinical trials, could provide information for the diagnosis and appropriate treatment of patients with various cancers, including NSCLC and prostate cancer.

Abstract LB300: RNA splicing variants of the novel long non-coding RNA, CyKILR, exhibit distinct possess divergent biological functions in lung cancer

Abstract The cyclin-dependent kinase inhibitor 2A (CDKN2A) gene encodes the tumor suppressors, p16(INK4A) and p14(ARF), and is found inactivated or deleted in non-small cell lung cancer at a high percentage. In this study, a novel, uncharacterized long non-coding RNA (lncRNA) (ENSG00000267053) located on chromosome 19p13.12 was found overexpressed in non-small cell lung cancer (NSCLC) cells with a wild-type and active CDKN2A gene. The expression of this Cyclin-Dependent Kinase Inhibitor 2A-regulated lncRNA (CyKILR) was also associated with the expression of the tumor suppressor, Liver kinase B1 (LKB1), a product of the STK11 gene. Characterization of CyKILR identified distinct RNA splicing variants classified into two groups based on their exon 3 inclusion/exclusion status, CyKILRa (exon 3 included) and CyKILRb (exon 3 excluded). The CDKN2A and STK11 gene products not only regulated the expression of CyKILR mRNA in non-transformed cells, but also the interplay between these genes synergistically regulated inclusion of exon 3 into the mature CyKILR RNA as shown by dramatic loss of exon 3 inclusion when mRNAs from both tumor suppressor genes were downregulated by siRNA. Functionally, CyKILRa predominantly localized to the nucleus, and targeted downregulation of the CyKILRa using antisense RNA oligonucleotides (ASOs) significantly enhanced cellular proliferation, migration, and clonogenic survival in mechanistic studies. In contrast, CyKILRb predominantly localized to the cytoplasm, and downregulation of CyKILRb using siRNA significantly reduced cell proliferation, migration, and clonogenic survival. Additionally, downregulation of CyKILRb, in stark contrast to CyKILRa, reduced tumor growth in vivo. Interrogation of cell signaling pathways by transcriptomics analyses demonstrated that CyKILRa suppressed key mitogenic pathways further demonstrating the tumor suppressive role of this CyKILR variant. On the other hand, CyKILRb induced key survival pathways further corroborating the oncogenic nature of this variant. Taken together, our findings shed light on the complexity of lncRNA expression and the alternative RNA splicing of lncRNAs as well as their roles in cell signaling and tumorigenesis. Citation Format: Xiujie Xie, Patrick H. Macknight, Amy L. Lu, Charles E. Chalfant. RNA splicing variants of the novel long non-coding RNA, CyKILR, exhibit distinct possess divergent biological functions in lung cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 2 (Late-Breaking, Clinical Trial, and Invited Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(7_Suppl):Abstract nr LB300.

Abstract LB393: Exosome based multiomics combined with cfDNA methylation reveals complementary signatures in blood based liquid biopsy that carry promise for minimally invasive colorectal cancer screening

Abstract Introduction: Colorectal cancer (CRC) ranks second in cancer morbidity, with approximately 60% of patients being diagnosed at an advanced stage. Here, we apply a multiomic strategy jointly leveraging plasma cell-free DNA (cfDNA) and multiple extracellular vesicle (EV)-derived analytes to enhance CRC diagnostic accuracy. Materials and Methods: Plasma was collected from 96 individuals, 48 CRC patients (stage II-IV) and 48 CRC-negative healthy controls. EVs and cfDNA were isolated from the same plasma sample to look at complementary information within the sample. We developed an EV RNA sequencing platform targeting mRNAs and long non-coding RNAs and sequenced to a depth of 50M reads per sample; cfDNA methylome profiling was sequenced to an equivalent depth. The Olink platform profiled proteins both directly from plasma and from isolated EVs. Expression of EV-derived RNA, splice variants, and proteins in addition to cfDNA methylation patterns were analyzed using Bio-Techne’s multiomic platform. Machine learning-based feature selection algorithms identified biomarker signatures from each analyte. Receiver-operator characteristic curves (ROC) were generated utilizing leave-one-out cross-validation of naïve Bayes classifier models to compute the area under the curve (AUC). Individual signatures were integrated to generate a multiomic classifier. Results: Differential gene expression (DEx) analysis identified ~1000 DEx genes with significant enrichment of CRC-relevant pathways. Splice variant analysis identified several genes previously implicated in CRC with differential isoform usage. Over 1.7 million differentially methylated bases were detected between CRC-positive and CRC-negative cohorts. Segmentation of the genome using out-of-bag reference data yielded ~1100 genomic segments, many of which overlap previously reported CRC biomarkers and identified unique information about the CRC status. Proteomic analysis identified several differentially abundant markers with high discriminatory power. Following feature selection analysis, AUCs obtained from top 10 features of RNA expression, splice variants, cfDNA methylation, and protein abundance with an integrative analysis identified a multi-analyte signature, with an overall AUC of 0.99. Conclusion: While biomarker signatures obtained from each analyte in this study resulted in effective separation of CRC status, the multiomic signature further improved the discriminatory power—underscoring the complementary nature of the signals. Thus, a multiomic biomarker discovery strategy leveraging cfDNA and EV cargo holds tremendous promise for minimally invasive screening and potential detection of early-stage cancers, which is currently under further investigation. Citation Format: Kyle Manning, Dulaney Miller, Yang Yang, Jeff Cole, Shuran Xing, Christopher Benway, Christian Ray, Sudipto Chakrabortty, Brian Haynes, Seth Yu, Johan Skog. Exosome based multiomics combined with cfDNA methylation reveals complementary signatures in blood based liquid biopsy that carry promise for minimally invasive colorectal cancer screening [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 2 (Late-Breaking, Clinical Trial, and Invited Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(7_Suppl):Abstract nr LB393.

Abstract 4102: Treatment with androgen receptor targeting vaccines provides an overall survival benefit in AR-V7 expressing tumor models

Abstract Background: Androgen receptor (AR) signaling inhibition is part of the mechanism behind many effective prostate cancer therapies, including androgen deprivation and next generation anti-androgens. However in castration resistant prostate cancer up to 50% of treatment resistance has been linked to AR amplification or expression of the constitutively active RNA splice variant, AR-V7. Although the use of immune checkpoint blockade has failed to demonstrate clinical success, immunotherapeutic interventions remain attractive as prostate cancer’s relatively slow progression provides time for anti-tumor immune responses to develop. Cancer specific vaccines have the potential to enable and enhance tumor specific immune responses by stimulating and directing T cell immunity to important oncologic targets. We hypothesized that a cancer vaccine designed to induce a T cell response against cells expressing high levels of AR would result in an anti-tumor effect and potentially prevent or delay the development of therapeutic resistance. Methods: Adenoviral vaccines against AR (Ad-AR) or AR splice variant 7 (Ad-AR-V7) were used to evaluate the potential of AR targeting vaccination in mouse models. We evaluated AR and AR variant specific adaptive responses produced by our vaccines with naïve and tumor-bearing mice by ex vivo peptide restimulation. We challenged vaccinated mice with multiple syngeneic subcutaneous tumor models that we engineered to express AR-V7, including a PTEN-/- p53-/- prostate tumor cell line. Finally we tested our vaccines in a therapeutic regimen, vaccinating mice after implanting our subcutaneous AR-V7 expressing models. Results: Across multiple strains of mice, AR or AR-V7 targeting adenoviral vaccination induced robust adaptive immune responses against the N-terminal domain of AR. Vaccination with either Ad-AR or Ad-AR-V7 resulted in significant anti-tumor responses, providing a significant overall survival benefit and complete tumor rejection by the majority of mice vaccinated against AR or AR-V7. Similarly tumor bearing mice treated with Ad-AR or Ad-AR-V7 vaccination displayed tumor growth inhibition or complete tumor regression resulting in an overall survival benefit. Additionally, we found that vaccine responses were unaffected by the use of the approved antiandrogen drug enzalutamide, suggesting that vaccinations could be deployed in tandem with standard-of-care therapies. Conclusions: Vaccination against AR and AR splice variants can induce AR specific adaptive immune responses capable of inhibiting the growth of AR-V7 expressing tumor models, illustrating the potential of AR and its splice variants as immunologic targets in prostate cancer. Citation Format: Robert D. Marek, Junping Wei, Tao Wang, Xiao-Yi Yang, Gangjun Lei, Zachary C. Hartman. Treatment with androgen receptor targeting vaccines provides an overall survival benefit in AR-V7 expressing tumor models [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 4102.

The melon Fom-1-Prv resistance gene pair: Correlated spatial expression and interaction with a viral protein.

The head-to-head oriented pair of melon resistance genes, Fom-1 and Prv, control resistance to Fusarium oxysporum races 0 and 2 and papaya ringspot virus (PRSV), respectively. They encode, via several RNA splice variants, TIR-NBS-LRR proteins, and Prv has a C-terminal extra domain with a second NBS homologous sequence. In other systems, paired R-proteins were shown to operate by "labor division," with one protein having an extra integrated domain that directly binds the pathogen's Avr factor, and the second protein executing the defense response. We report that the expression of the two genes in two pairs of near-isogenic lines was higher in the resistant isoline and inducible by F. oxysporum race 2 but not by PRSV. The intergenic DNA region separating the coding sequences of the two genes acted as a bi-directional promoter and drove GUS expression in transgenic melon roots and transgenic tobacco plants. Expression of both genes was strong in melon root tips, around the root vascular cylinder, and the phloem and xylem parenchyma of tobacco stems and petioles. The pattern of GUS expression suggests coordinated expression of the two genes. In agreement with the above model, Prv's extra domain was shown to interact with the cylindrical inclusion protein of PRSV both in yeast cells and in planta.

Oncomine Dx Express CE-IVD liquid biopsy assay for non-small cell lung cancer: Performance review and analytical validation.

e21218 Background: Clinical diagnostics assays for oncology are becoming more readily available due to the advancement and democratization of Next-Generation Sequencing (NGS). Additionally, liquid biopsy can be used in NGS to detect genetic variants in circulating tumor DNA and RNA. Liquid biopsy is a less invasive option compared to traditional biopsy methods for early detection and continuous monitoring of cancer treatment outcomes. Here, we discuss screening of over 3,500 non-small cell lung cancer (NSCLC) samples, and the analytical validation of the Oncomine Dx Express Test (ODxET) and Genexus Dx Integrated Sequencer for detection of clinically significant variants in liquid biopsy samples. Methods: Our team screened over 3,500 NSCLC liquid biopsy samples in search of high priority clinical variants. Variants selected for analytical validation studies included ERBB2 exon 20 insertion, EGFR exon 20 insertion, EGFR exon 19 deletion, EGFR T790M, KRAS G12C, BRAF V600E, and RNA fusion isoforms including ALK, NTRK1/2/3, RET, and ROS1 oncogenic drivers. Over 550 screened samples were found to be positive for these variants of interest. This screening was performed on the Genexus Dx Integrated Sequencer according to the user guide. Results: The Genexus Dx Integrated Sequencer automates library preparation, sequencing, analysis, and reporting QC metrics and variant calls. Sequencing run setup is quick and straightforward, taking less than 15 minutes to start a run and just over 24 hours to go from nucleic acid to report. Limit of detection (LoD) for DNA SNVs, insertions, and deletions at 5 ng DNA input level ranged from 0.65% to 1.82% allelic frequency (AF), depending on the variant. The higher DNA input of 30 ng resulted in a lower LoD range, from 0.31% to 0.42% AF. RNA fusion and splice variant LoD at 5 ng sample input ranged from 9.9 to 19.6 molecular counts. The higher 30 ng input resulted in a lower LoD range for RNA variants as well, ranging from 6.4 to 8.0 molecular counts. In the analytical accuracy study, the false positive rate was found to be 0.2% for SNVs, 0% for insertions/deletions, and 0% for fusion targets. In the analytical reproducibility study, the average with-in run repeatability call rate (No Calls excluded) was 99.64% for DNA variants and 98.75% for RNA variants. Conclusions: Here, we demonstrated that the ODxET workflow on Genexus Dx Integrated Sequencer is a fast and efficient tool for testing clinical NSCLC liquid biopsy samples with high sensitivity and specificity.

Abstract 5601: Oncomine™ dx express CE-IVD liquid biopsy assay for non-small cell lung cancer: Performance review and analytical validation

Abstract Introduction - Clinical diagnostics assays for oncology are becoming more readily available due to the advancement and democratization of Next-Generation Sequencing (NGS). Additionally, liquid biopsy can be used in NGS to detect genetic variants in circulating tumor DNA and RNA. Liquid biopsy is a less invasive option compared to traditional biopsy methods for early detection and continuous monitoring of cancer treatment outcomes. Here, we discuss screening of over 3,500 non-small cell lung cancer (NSCLC) samples, and the analytical validation of the Oncomine™ Dx Express Test (ODxET) and Genexus™ Dx Integrated Sequencer for detection of clinically significant variants in liquid biopsy samples. Methods - Our team screened over 3,500 NSCLC liquid biopsy samples in search of high priority clinical variants. Variants selected for analytical validation studies included ERBB2 exon 20 insertion, EGFR exon 20 insertion, EGFR exon 19 deletion, EGFR T790M, KRAS G12C, BRAF V600E, and RNA fusion isoforms including ALK, NTRK1/2/3, RET, and ROS1 oncogenic drivers. Over 550 screened samples were found to be positive for these variants of interest. This screening was performed on the Genexus™ Dx Integrated Sequencer according to the user guide. Results - The Genexus™ Dx Integrated Sequencer automates library preparation, sequencing, analysis, and reporting QC metrics and variant calls. Sequencing run setup is quick and straightforward, taking less than 15 minutes to start a run and just over 24 hours to go from nucleic acid to report. Limit of detection (LoD) for DNA SNVs, insertions, and deletions at 5 ng DNA input level ranged from 0.65% to 1.82% allelic frequency (AF), depending on the variant. The higher DNA input of 30 ng resulted in a lower LoD range, from 0.31% to 0.42% AF. RNA fusion and splice variant LoD at 5 ng sample input ranged from 9.9 to 19.6 molecular counts. The higher 30 ng input resulted in a lower LoD range for RNA variants as well, ranging from 6.4 to 8.0 molecular counts. In the analytical accuracy study, the false positive rate was found to be 0.2% for SNVs, 0% for insertions/deletions, and 0% for fusion targets. In the analytical reproducibility study, the average with-in run repeatability call rate (No Calls excluded) was 99.64% for DNA variants and 98.75% for RNA variants. Conclusion - Here, we demonstrated that the ODxET workflow on Genexus™ Dx Integrated Sequencer is a fast and efficient tool for testing clinical NSCLC liquid biopsy samples with high sensitivity and specificity. For in vitro diagnostic use. Not available in all regions including the United States. Citation Format: Nicholas Siepert, Jeoffrey Schageman, Jian Gu, Thilanka Jayaweera, Madhu Jasti, Luming He, Stephen Wunch, Emilia Ostrowska, Tasha Delacour, Diarra Hassell, Thomas Bowden, Daniela Garcia, Stephanie Tong, Swasti Raut, Nader Ezzedine, Elliott Martinez, Kelli Bramlett. Oncomine™ dx express CE-IVD liquid biopsy assay for non-small cell lung cancer: Performance review and analytical validation. [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 5601.

Association of cytochrome P450 2D15 (CYP2D15) nonsynonymous polymorphisms and exon 3 deleted RNA splice variant with CYP2D15 protein content and enzyme function in dog liver microsomes.

CYP2D15 is a major drug metabolizing P450 in canine liver. Like the human orthologue (CYP2D6), this enzyme is highly polymorphic with at least five common nonsynonymous variants reported that result in amino acid changes, including p.Ile109Val, p.Leu115Phe, p.Gly186Ser, p.Ile250Phe and p.Ile307Val. Furthermore, a mRNA splice variant of CYP2D15 has been found in canine liver that lacks the exon 3 gene region resulting in an inactive enzyme. The objective of this study was to evaluate whether any of these amino acid variants or the exon 3 deletion mRNA variant (exon3-delta) was associated with differences in CYP2D15-selective activities or protein content in a bank of canine livers. Livers were obtained from 25 Beagles and 34 dogs of various other breeds. CYP2D15-selective activities measured included dextromethorphan o-demethylation and tramadol o-demethylation. Reverse transcription PCR showed that 76% of livers (44/58) expressed both exon3-delta and normally spliced CYP2D15 RNA, while the remaining 24% (14/58) expressed only normally spliced RNA. The presence of exon3-delta was not correlated with CYP2D15 activities or protein content. Compared with wild-type livers, Beagle dog livers heterozygous for the p.Ile109Val and p.Gly186Ser variants showed from 40 to 50% reductions in median enzyme activities, while heterozygous p.Gly186Ser livers were associated with a 41% reduction in median CYP2D15 protein content (p< .05; Dunn's test). In the entire liver bank, livers homozygous for p.Ile109Val were also associated with a 40% reduction in median dextromethorphan O-demethylation activities versus wild-type livers (p< .05). These results identify several nonsynonymous CYP2D15 gene variants associated with variable CYP2D15 metabolism in canine liver.

Identification of potential proteins translated from circular RNA splice variants

Circular RNAs (circRNAs) are covalently closed RNA molecules generated from precursor RNAs by the head-to-tail backsplicing of exons. Hundreds of studies demonstrated that circRNAs are ubiquitously expressed and regulate cellular events by modulating microRNA (miRNA) and RNA-binding protein (RBP) activities. A few circRNAs are also known to translate into functional polypeptides regulating cellular physiology. All these functions primarily depend on the full-length sequence of the circRNAs. CircRNA backsplice junction sequence is the key to identifying circRNAs and their full-length mature sequence. However, some multi-exonic circRNAs exist in different isoforms sharing identical backsplice junction sequences and are termed circRNA splice variants. Here, we analyzed the previously published HeLa cell RNA-seq datasets to identify circRNA splice variants using the de novo module of the CIRCexplorer2 circRNA annotation pipeline. A subset of circRNAs with splice variants was validated by the circRNA-rolling circle amplification (circRNA-RCA) method. Interestingly, several validated circRNAs were predicted to translate into proteins by the riboCIRC database. Furthermore, polyribosome fractionation followed by quantitative PCR confirmed the association of a subset of circRNAs with polyribosome supporting their protein-coding potential. Finally, bioinformatics analysis of proteins derived from splice variants of circCORO1C and circASPH suggested altered protein sequences and structures that could affect their physiological functions. Together, our study identified novel circRNA splice variants and their potential translation into protein isoforms which may regulate various physiological processes.

Loss-of-function CFTR p.G970D missense mutation might cause congenital bilateral absence of the vas deferens and be associated with impaired spermatogenesis.

Congenital bilateral absence of the vas deferens (CBAVD) is observed in 1%-2% of males presenting with infertility and is clearly associated with cystic fibrosis transmembrane conductance regulator (CFTR) mutations. CFTR is one of the most well-known genes related to male fertility. The frequency of CFTR mutations or impaired CFTR expression is increased in men with nonobstructive azoospermia (NOA). CFTR mutations are highly polymorphic and have established ethnic specificity. Compared with F508Del in Caucasians, the p.G970D mutation is reported to be the most frequent CFTR mutation in Chinese patients with cystic fibrosis. However, whether p.G970D participates in male infertility remains unknown. Herein, a loss-of-function CFTR p.G970D missense mutation was identified in a patient with CBAVD and NOA. Subsequent retrospective analysis of 122 Chinese patients with CBAVD showed that the mutation is a common pathogenic mutation (4.1%, 5/122), excluding polymorphic sites. Furthermore, we generated model cell lines derived from mouse testes harboring the homozygous Cftr p.G965D mutation equivalent to the CFTR variant in patients. The Cftr p.G965D mutation may be lethal in spermatogonial stem cells and spermatogonia and affect the proliferation of spermatocytes and Sertoli cells. In spermatocyte GC-2(spd)ts (GC2) Cftr p.G965D cells, RNA splicing variants were detected and CFTR expression decreased, which may contribute to the phenotypes associated with impaired spermatogenesis. Thus, this study indicated that the CFTR p.G970D missense mutation might be a pathogenic mutation for CBAVD in Chinese males and associated with impaired spermatogenesis by affecting the proliferation of germ cells.

Abstract B045: Evaluating the role of altered RNA metabolism in pancreatic cancer therapy resistance

Abstract Pancreatic ductal adenocarcinomas (PDACs) are highly lethal, mostly because they quickly develop resistance to current chemotherapies: Gemcitabine (GEM)/paclitaxel or cocktail FOLFIRINOX. Both chemotherapies rely on nucleoside analogues (GEM and 5-fluorouracil [5-FU], and resistance is developed without acquiring mutations, suggesting the role of non-mutational mechanisms for therapy resistance. Our recent findings demonstrated that PDACs depend on RNA splicing proteins to maintain tumors and are exquisitely susceptible to a range of therapies directed at RNA splicing, supporting the role of aberrant RNA splicing in PDAC therapy resistance. Here we evaluated the role of altered RNA splicing in PDAC therapy resistance. Three murine and human isogenic lines with either sensitivity or resistance to GEM were developed. We performed deep RNA sequencing (RNASeq, 80-100 million reads, traditional is 20-40 million reads), differential gene expression, and splicing analyses. GEM resistant PDAC cells demonstrated &amp;gt;40% of non-canonical RNA splice variants and altered expression of 30% of RNA-binding proteins encoded in the human/murine genome, compared to GEM sensitive ones. Specific alternatively spliced exons with common cis-elements were identified in therapy resistant cells, suggesting that these splicing changes are guided by a splicing factor or other RNA-binding protein(s) (RBPs). Top splicing changes were associated to mRNAs encoding ether lipid and pyruvate metabolism. This finding is important as previous studies have linked these metabolic pathways to therapy resistance, however, they have overlooked if protein isoforms, resulting from aberrant splicing, have different impacts in therapy resistance. In addition, GEM and H3B-8800, a novel spliceosome inhibitor showed higher synergistic activity in GEM resistant PDAC cells compared to GEM sensitive cells, suggesting that the development of resistance in PDAC is highly dependent on RNA splicing. Combinedly, these data strongly suggest that resistance to chemotherapeutic agents in PDAC cells requires altered RNA splicing and aberrant expression of associated proteins. Further investigation is ongoing to identify the splicing events and RBPs related to chemotherapy resistance, which will uncover novel mechanisms of therapy resistance and therapeutic modalities by targeting RNA splicing in pancreatic cancer. Citation Format: Md Afjalus Siraj, Xinning Shan, Robert Tseng, Luisa Escobar-Hoyos. Evaluating the role of altered RNA metabolism in pancreatic cancer therapy resistance [abstract]. In: Proceedings of the AACR Special Conference on Pancreatic Cancer; 2022 Sep 13-16; Boston, MA. Philadelphia (PA): AACR; Cancer Res 2022;82(22 Suppl):Abstract nr B045.

SEPT–GD: A decision tree to prioritise potential RNA splice variants in cardiomyopathy genes for functional splicing assays in diagnostics

BackgroundSplice prediction algorithms currently used in routine DNA diagnostics have limited sensitivity and specificity, therefore many potential splice variants are classified as variants of uncertain significance (VUSs). However, functional assessment of VUSs to test splicing is labour-intensive and time-consuming. We developed a decision tree to prioritise potential splice variants for functional studies and functionally verified the outcome of the decision tree. Materials and methodsWe built the decision tree, SEPT–GD, by setting thresholds for the splice prediction programs implemented in Alamut. A set of 343 variants with known effects on splicing was used as control for sensitivity and specificity. We tested SEPT–GD using variants from a Dutch cardiomyopathy cohort of 2002 patients that were previously classified as VUS and predicted to have a splice effect according to diagnostic rules. We then selected 12 VUSs ranked by SEPT–GD to functionally verify the predicted effect on splicing using a minigene assay: 10 variants predicted to have a strong effect and 2 with a weak effect. RT-PCR was performed for nine variants. Variant classification was re-evaluated based on the functional test outcome. ResultsCompared to similar individually tested algorithms, SEPT–GD shows higher sensitivity (91 %) and comparable specificity (88 %) for both consensus (dinucleotides at the start and end of the intron, GT at the 5′ end and AG at the 3′ end) and non-consensus splice-site variants (excluding middle of exon variants). Using clinical diagnostic criteria, 1295 unique variants in our cardiomyopathy cohort had originally been classified as VUSs, with 57 predicted by Alamut to have an effect on splicing. Using SEPT–GD, we prioritised 31 variants in 40 patients. In the minigene assay, all 12 variants showed results concordant with SEPT-GD predictions. RT-PCR confirmed the minigene results for two variants, TMEM43 c.1000 + 5G > T and TTN c.25922–6 T > G. Based on all outcomes, the SGCD c.4-1G > A and CSRP3 c.282-5_285del variants were reclassified as likely pathogenic. ConclusionSEPT–GD outperforms the tools commonly used for RNA splicing prediction and improves prioritisation of variants in cardiomyopathy genes for functional splicing analysis in a diagnostic setting.

Module Assembly Strategy for Single-Cell Nucleic Acid Imaging at the Sub-Molecule Level.

Single-cell imaging has unique advantages of maintaining the in situ physiological state, morphology, and microenvironment, becoming a powerful tool to unravel the nature of intracellular nucleic acids. The analysis of nucleic acids unprecedentedly demands the sub-molecule details at segment or subunit, secondary structure and monomer levels, instead of just probing the sequence and the abundance of nucleic acids. Detection of nucleic acids at the sub-molecule level requires higher specificity and higher sensitivity, which becomes a new challenge in nucleic acid analysis. Herein, we summarize the recent progress in the design and the application of single-cell nucleic acid imaging methods at the sub-molecule level, including the visualization of RNA splicing variants, RNA G-quadruplexes in an individual gene, single nucleotide variation of mitochondrial DNA, and RNA m6 A methylation. Remarkably, we highlight the key strategy, "Module Assembly", for high-performance molecular recognition and demonstrate the required improvements in future research.

Dual-Functional Nanocluster Probe-Based Single-Cell Analysis of RNA Splice Variants.

Differential expression of RNA splice variants among individual cells accounts for cell heterogeneity of gene expression, which plays a key role in the regulation of the immune system. However, currently available techniques face difficulties in achieving single-cell analysis of RNA splice variants with high base resolution, high spatial resolution and accurate quantification. Herein, we constructed DNA-templated dual-functional nanocluster probes to achieve in situ imaging and accurate quantification of RNA splice variants at the single-cell level. By designing ultrasmall nanocluster labeled probes to directly target the splicing junction sequence of RNA splice variants, the base recognition resolution is significantly improved. Benefit from the controllable fluorescence of nanoclusters, in situ imaging and genotyping of RNA splice variants are achieved. Due to the atom-precise nanocluster, RNA splice variants can be accurately quantified by laser ablation inductively coupled plasma mass spectrometry at the single-cell level. We further applied the probes to explore the function of MyD88 splice variants in mononuclear macrophages under immune activation. This strategy provides a novel single-cell analysis tool for studying the functional diversity of the immune system and splicing-related immune diseases.

Making sense of RNA splicing variants

Determining clinically whether a coding or non-coding variant will actually disrupt pre-mRNA splicing and cause a genetic disorder is one of the grand challenges currently facing genetic pathology. Variant curation is a time-consuming use of highly skilled labour and the rate-limiting step for laboratory throughput. Splicing variant interpretation compounds these issues, exacerbated by the exponential growth of genomic testing. This talk will highlight advances in machine-learning and evidence-based approaches to predict if a DNA will disrupt mRNA splicing, and if so, how – exactly? Leveraging confirmed diagnostic and clinical outcomes for ∼100 families triaged in real-time into research-led RNA diagnostic testing, we will discuss: strengths and weaknesses of different modes of RNA diagnostic testing; retrospective evaluation of the predictive accuracy of artificial intelligence splicing prediction tools; and, the clinical utility of empirical methods to reliably predict the nature of mis-splicing for pathology use of PVS1 or PP3/BP4, and/or, to direct strategic design of RNA Diagnostic assays.