Coding mRNA Research Articles

Evaluation of Eukaryotic mRNA Coding Potential.

It is widely discussed that eukaryotic mRNAs can encode several functional polypeptides. Recent progress in NGS and proteomics techniques has resulted in a huge volume of information on potential alternative translation initiation sites and open reading frames (altORFs). However, these data are still incomprehensive, and the vast majority of eukaryotic mRNAs annotated in conventional databases (e.g., GenBank) contain a single ORF (CDS) encoding a protein larger than some arbitrary threshold (commonly 100 amino acid residues). Indeed, some gene functions may relate to the polypeptides encoded by unannotated altORFs, and insufficient information in nucleotide sequence databanks may limit the interpretation of genomics and transcriptomics data. However, despite the need for special experiments to predict altORFs accurately, there are some simple methods for their preliminary mapping.

Titrating chimeric antigen receptors on CAR T cells enabled by a microfluidic-based dosage-controlled intracellular mRNA delivery platform.

Chimeric antigen receptor (CAR) T-cell therapy shows unprecedented efficacy for cancer treatment, particularly in treating patients with various blood cancers, most notably B-cell acute lymphoblastic leukemia. In recent years, CAR T-cell therapies have been investigated for treating other hematologic malignancies and solid tumors. Despite the remarkable success of CAR T-cell therapy, cytokine release syndrome (CRS) is an unexpected side effect that is potentially life-threatening. Our aim is to reduce pro-inflammatory cytokine release associated with CRS by controlling CAR surface density on CAR T cells. We show that CAR expression density can be titrated on the surface of primary T cells using an acoustic-electric microfluidic platform. The platform performs dosage-controlled delivery by uniformly mixing and shearing cells, delivering approximately the same amount of CAR gene coding mRNA into each T cell.

The translatome of glioblastoma.

Glioblastoma (GB), the most common and aggressive brain tumor, demonstrates intrinsic resistance to current therapies, resulting in poor clinical outcomes. Cancer progression can be partially attributed to the deregulation of protein translation mechanisms that drive cancer cell growth. In this study, we present the translatome landscape of GB as a valuable data resource. Eight patient-derived GB sphere cultures (GSCs) were analyzed using ribosome profiling and messenger RNA (mRNA) sequencing. We investigated inter-cell-line differences through differential expression analysis at both the translatome and transcriptome levels. Translational changes post-radiotherapy were assessed at 30 and 60 min. The translation of non-coding RNAs (ncRNAs) was validated using in-house and public mass spectrometry (MS) data, whereas RNA expression was confirmed by quantitative PCR (qPCR). Our findings demonstrate that ribosome sequencing provides more detailed information than MS or transcriptional analyses. Transcriptional similarities among GSCs correlate with translational similarities, aligning with previously defined subtypes such as proneural and mesenchymal. Additionally, we identified a broad spectrum of open reading frame types in both coding and non-coding mRNA regions, including long non-coding RNAs (lncRNAs) and pseudogenes undergoing active translation. Translation of ncRNAs into peptides was independently confirmed by in-house data and external MS data. We also observed that translational regulation of histones (downregulated) and splicing factors (upregulated) occurs in response to radiotherapy. These data offer new insights into genome-wide protein synthesis, identifying translationally regulated genes and alternative translation initiation sites in GB under normal and radiotherapeutic conditions, providing a rich resource for GB research. Further functional validation of differentially expressed genes after radiotherapy is needed. Understanding translational control in GB can reveal mechanistic insights and identify currently unknown biomarkers, ultimately enhancing the diagnosis and treatment of this aggressive brain cancer.

Deciphering the landscape of lncRNA-driven ceRNA network in schizophrenia etiology

BackgroundThe unifying hypothesis of competing endogenous RNA (ceRNA) wherein crosstalk between coding (mRNAs) and long non-coding RNAs (lncRNAs) via microRNA (miRNA) response elements, creates a pervasive regulatory network across the transcriptome, has been implicated in complex disorders including schizophrenia. Even with a wide range of high-throughput data, the etiology of schizophrenia remains elusive, necessitating a more holistic understanding of the altered genetic landscape, shifting focus from solely candidate gene studies and protein-coding variants.ObjectiveWe developed lncRNA-associated ceRNA networks to elucidate global molecular/regulatory signatures underlying schizophrenia using diverse data in the public domain.MethodsMicroarray dataset associated with peripheral blood mononuclear cells (PBMCs) of schizophrenia and control patients was used to identify differentially expressed mRNAs. Weighted gene co-expression network analysis (WGCNA) was used to identify highly correlated hubs, and genes from these overlapping Kyoto Encyclopedia of Genes and Genomes (KEGG) and gene ontology (GO) term genesets were considered key mRNA players. StarBase, Human MicroRNA Disease Database, and miRWalk were used to derive mRNA-miRNA and miRNA-lncRNA relationships. Finally, the key mRNAs, interacting lncRNAs and miRNAs were chosen to reconstruct sub-ceRNA networks based on network centrality scores.ResultsBioinformatics analysis revealed the involvement of three differentially expressed mRNAs, namely ADRA1A, HAP1 and HOMER3 in the schizophrenia ceRNA networks with lncRNAs NEAT1, XIST, and KCNQ1OT1 modulating their activity by a suggestive sequestering of miR-3163, miR-214-3p and miR-2467-3p, respectively.ConclusionsFurthermore, based on contextual evidence, we propose how ceRNAs could orchestrate crosstalk between neurostructural dynamics and immune/inflammatory processes and enable unifying these disparate models of schizophrenia etiology.

The m6A demethylases FTO and ALKBH5 aggravate the malignant progression of nasopharyngeal carcinoma by coregulating ARHGAP35

N6-methyladenosine (m6A) is an RNA modification that can be removed by demethylases [fat mass and obesity-associated protein (FTO) and AlkB homolog 5 (ALKBH5)], which regulate gene expression and cell function. We show that m6A levels and m6A demethylase levels are altered in nasopharyngeal carcinoma (NPC) tissues vs. normal tissues. High FTO and ALKBH5 predict a poor prognosis in NPC patients. Silencing FTO and ALKBH5 inhibited the malignant behavior of patient-derived NPC cells in a short time. However, as time progressed, the inhibitory effect of FTO or ALKBH5 was weakened, and the cosilencing of FTO and ALKBH5 maintained a better inhibitory effect. Combined transcriptome and m6A-seq analysis revealed a downstream target gene that was jointly regulated by FTO and ALKBH5 in NPC, and ARHGAP35 was chosen to do further study. The synergistic silencing of FTO and ALKBH5 increased the methylation level on the mRNA CDS of a new transcription factor (ARHGAP35) and positively regulate the protein coding capacity and mRNA stability of ARHGAP35, thus leading to increased expression of ARHGAP35 and inhibition of the malignant phenotype of tumor cells. Our study revealed that the growth and metastasis of NPC can be stably inhibited through synergistic silencing of the demethylases FTO and ALKBH5, which play a positive role in the treatment of NPC by regulating the downstream transcript ARHGAP35 and increasing its m6A level.

Resting-state alterations in behavioral variant frontotemporal dementia are related to the distribution of monoamine and GABA neurotransmitter systems.

Aside to clinical changes, behavioral variant frontotemporal dementia (bvFTD) is characterized by progressive structural and functional alterations in frontal and temporal regions. We examined if there is a selective vulnerability of specific neurotransmitter systems in bvFTD by evaluating the link between disease-related functional alterations and the spatial distribution of specific neurotransmitter systems and their underlying gene expression levels. Maps of fractional amplitude of low-frequency fluctuations (fALFF) were derived as a measure of local activity from resting-state functional magnetic resonance imaging for 52 bvFTD patients (mean age = 61.5 ± 10.0 years; 14 females) and 22 healthy controls (HC) (mean age = 63.6 ± 11.9 years; 13 females). We tested if alterations of fALFF in patients co-localize with the non-pathological distribution of specific neurotransmitter systems and their coding mRNA gene expression. Furthermore, we evaluated if the strength of co-localization is associated with the observed clinical symptoms. Patients displayed significantly reduced fALFF in frontotemporal and frontoparietal regions. These alterations co-localized with the distribution of serotonin (5-HT1b and 5-HT2a) and γ-aminobutyric acid type A (GABAa) receptors, the norepinephrine transporter (NET), and their encoding mRNA gene expression. The strength of co-localization with NET was associated with cognitive symptoms and disease severity of bvFTD. Local brain functional activity reductions in bvFTD followed the distribution of specific neurotransmitter systems indicating a selective vulnerability. These findings provide novel insight into the disease mechanisms underlying functional alterations. Our data-driven method opens the road to generate new hypotheses for pharmacological interventions in neurodegenerative diseases even beyond bvFTD. This study has been supported by the German Consortium for Frontotemporal Lobar Degeneration, funded by the German Federal Ministry of Education and Research (BMBF; grant no. FKZ01GI1007A).

Expression of Bispecific Antibodies Using Cellular Display.

The identification and selection of high-producing cell lines can be a resource- and time-consuming process. The screening effort can be simplified by assessing the potential for high expression (or a desired product quality attribute) of the individual cell directly in a mix of cells. Here, we describe protocols for the use of such a cellular display technology. Using alternate splicing, two mRNA constructs are generated at tunable ratios. The first mRNA codes for the secreted product, the second mRNA attaches a transmembrane domain to the antibody and directs it to the cellular membrane. The design of the basic construct as well as efficient ways to tune the strength of the cellular display is detailed in this chapter. Further, enrichment methods are provided enabling the flow cytometric sorting of a cell population based on the quantity of cellular display or on the product quality (heterodimerization level of a bispecific antibody).

Deep Learning Prediction of Inflammatory Inducing Protein Coding mRNA in P. gingivalis Released Outer Membrane Vesicles.

The Insilco study uses deep learning algorithms to predict the protein-coding pg m RNA sequences. The NCBI GEO DATA SET GSE218606's GEO R tool discovered P.G's outer membrane vesicles' most differentially expressed mRNA. Genemania analyzed differentially expressed gene networks. Transcriptomics data were collected and labeled on P. gingivalis protein-coding mRNA sequence and pseudogene, lincRNA, and bidirectional promoter lincRNA. Orange, a machine learning tool, analyzed and predicted data after preprocessing. Naïve Bayes, neural networks, and gradient descent partition data into training and testing sets, yielding accurate results. Cross-validation, model accuracy, and ROC curve were evaluated after model validation. Three models, Neural Networks, Naive Bayes, and Gradient Boosting, were evaluated using metrics like Area Under the Curve (AUC), Classification Accuracy (CA), F1 Score, Precision, Recall, and Specificity. Gradient Boosting achieved a balanced performance (AUC: 0.72, CA: 0.41, F1: 0.32) compared to Neural Networks (AUC: 0.721, CA: 0.391, F1: 0.314) and Naive Bayes (AUC: 0.701, CA: 0.172, F1: 0.114). While statistical tests revealed no significant differences between the models, Gradient Boosting exhibited a more balanced precision-recall relationship. In silico analysis using machine learning techniques successfully predicted protein-coding mRNA sequences within Porphyromonas gingivalis OMVs. Gradient Boosting outperformed other models (Neural Networks, Naive Bayes) by achieving a balanced performance across metrics like AUC, classification accuracy, and precision-recall, suggests its potential as a reliable tool for protein-coding mRNA prediction in P. gingivalis OMVs.

Cardiac rejection diagnosis using serum mRNA encoding proteins related to fibrotic process

Abstract Background Finding a standardized, non-invasive method of diagnosis of rejection is still a challenge in the field of heart transplantation. A novel alternative for allograft rejection diagnosis is the detection of biomarkers present in serum. Cardiac fibrosis appears to be present in patients who are experiencing cardiac allograft rejection. Thus, the process of fibrosis could offer a wide range of candidate molecules to explore as possible biomarkers. Purpose This study aimed to determine the expression of fibrosis-related coding mRNAs in serum of patient with cardiac rejection and evaluate the diagnostic capacity as potential biomarkers for the non-invasive detection of mild (grade 1R) and moderate/severe (grade ≥2R) cellular rejection. Methods We included consecutive serum samples from transplant recipients undergoing routine endomyocardial biopsies. Non-coding RNA sequencing analysis (Illumina HiSeq 2500) was performed on 40 samples, 28 diagnosed with acute cellular rejection (Grade 1R, n=16; and Grade ≥2R, n=12) and 12 samples without cardiac rejection. Results We detected 228 mRNA related to fibrosis in serum, which 38 presented differential expression in patients with cardiac rejection of Grade ≥2R. We obtained 16 molecules that showed excellent diagnostic ability in moderate-severe rejection (AUC > 0.800). We highlight RELB that was able to detect mild rejection (AUC=0.734, p<0.05). We stand out TNS1 (AUC=0.972), COL4A2 (AUC=0.958) and JAK1 (AUC=0.944), p<0.0001, for its relevant diagnostic capacity of acute cellular rejection. Conclusions We propose serum mRNA levels of genes encoding fibrosis related proteins as potential biomarkers of cardiac rejection. We highlight the role of RELB due to its excellent diagnostic capacity for acute cellular rejection correlating with the severity of the episode.

A double-negative feedback loop between NtrBC and a small RNA rewires nitrogen metabolism in legume symbionts.

Root nodule endosymbioses between diazotrophic rhizobia and legumes provide the largest input of combined N to the biosphere, thus representing an alternative to harmful chemical fertilizers for sustainable crop production. Rhizobia have evolved intricate strategies to coordinate N assimilation for their own benefit with N2 fixation to sustain plant growth. The rhizobial N status is transduced by the NtrBC two-component system, the seemingly ubiquitous form of N signal transduction in Proteobacteria. Here, we show that the regulatory sRNA NfeR1 (nodule formation efficiency RNA) of the alfalfa symbiont Sinorhizobium meliloti is transcribed from a complex promoter repressed by NtrC in a N-dependent manner and feedback silences ntrBC by complementary base-pairing. These findings unveil a more prominent role of NtrC as a transcriptional repressor than hitherto anticipated and a novel RNA-based mechanism for NtrBC regulation. The NtrBC-NfeR1 double-negative feedback loop accurately rewires symbiotic S. meliloti N metabolism and is likely conserved in α-rhizobia.

Polysome propensity and tunable thresholds in coding sequence length enable differential mRNA stability.

The half-life of mRNAs, as well as their translation, increases in proportion to the optimal codons, indicating a tight coupling of codon-dependent differential translation and degradation. Little is known about the regulation of this coupling. We found that the mRNA stability gain in yeast depends on the mRNA coding sequence length. Below a critical length, codon optimality fails to affect the stability of mRNAs although they can be efficiently translated into short peptides and proteins. Above this threshold length, codon optimality-dependent differential mRNA stability emerges in a switch-like fashion, which coincides with a similar increase in the polysome propensity of the mRNAs. This threshold length can be tuned by the untranslated regions (UTR). Some of these UTRs can destabilize mRNAs without reducing translation, which plays a role in controlling the amplitude of the oscillatory expression of cell cycle genes. Our findings help understand the translation of short peptides from noncoding RNAs and the translation by localized monosomes in neurons.

Expression analysis of cytoskeleton regulator RNA and Cyclin Dependent Kinase Inhibitor 2B genes in breast cancer.

Breast cancer has been found to be associated with deregulation of several non-coding genes and mRNA coding genes. To assess expressions of CYTOR and CDKN2B in breast cancer and adjacent samples and find their relevance with clinical data. We enumerated expression level of CDKN2B and CYTOR in 43 newly diagnosed breast cancer samples and their adjacent specimens using real-time PCR method Expression data was judged using Wilcoxon matched-pairs signed rank test. CYTOR level was higher in tumors compared with adjacent tissues. Nevertheless, there was no difference in expression of CDKN2B between these two sets of tissues. ROC curve analysis showed that CYTOR levels can differentiate between tumoral and adjacent tissues with AUC, specificity and sensitivity values of 0.65, 37% and 92% (P= 0.017). There was a positive correlation between expression levels of CYTOR and CDKN2B genes in breast cancer tissues (r= 0.5 and P= 0.0008) as well as adjacent tissues (r= 0.79 and P< 0.0001). Relative expression level of CDKN2B in normal tissues was associated with clinical stage (P= 0.014). Moreover, relative expression level of CDKN2B in tumor tissues was associated with the body weight. There was no other association between expressions of CYTOR and CDKN2B and clinical or pathological variables. Cumulatively, this study offers evidence for involvement of these genes in the pathoetiology of breast cancer.

BPIFB1 promotes metastasis of hormone receptor-positive breast cancer via inducing macrophage M2-like polarization.

Metastasis is an important factor affecting the prognosis of hormone receptor-positive breast cancer (BC). However, the molecular basis for migration and invasion of tumor cells remains poorly understood. Here, we identify that bactericidal/permeability-increasing-fold-containing family B member 1 (BPIFB1), which plays an important role in innate immunity, is significantly elevated in breast cancer and associated with lymph node metastasis. High expression of BPIFB1 and its coding mRNA are significantly associated with poor prognosis of hormone receptor-positive BC. Using enrichment analysis and constructing immune infiltration evaluation, we predict the potential ability of BPIFB1 to promote macrophage M2 polarization. Finally, we demonstrate that BPIFB1 promotes the metastasis of hormone receptor-positive BC by stimulating the M2-like polarization of macrophages via the establishment of BC tumor cells/THP1 co-culture system, qPCR, Transwell assay, and animal experiments. To our knowledge, this is the first report on the role of BPIFB1 as a tumor promoter by activating the macrophage M2 polarization in hormone receptor-positive breast carcinoma. Together, these results provide novel insights into the mechanism of BPIFB1 in BC.

'Spikeopathy': COVID-19 Spike Protein Is Pathogenic, from Both Virus and Vaccine mRNA.

The COVID-19 pandemic caused much illness, many deaths, and profound disruption to society. The production of 'safe and effective' vaccines was a key public health target. Sadly, unprecedented high rates of adverse events have overshadowed the benefits. This two-part narrative review presents evidence for the widespread harms of novel product COVID-19 mRNA and adenovectorDNA vaccines and is novel in attempting to provide a thorough overview of harms arising from the new technology in vaccines that relied on human cells producing a foreign antigen that has evidence of pathogenicity. This first paper explores peer-reviewed data counter to the 'safe and effective' narrative attached to these new technologies. Spike protein pathogenicity, termed 'spikeopathy', whether from the SARS-CoV-2 virus or produced by vaccine gene codes, akin to a 'synthetic virus', is increasingly understood in terms of molecular biology and pathophysiology. Pharmacokinetic transfection through body tissues distant from the injection site by lipid-nanoparticles or viral-vector carriers means that 'spikeopathy' can affect many organs. The inflammatory properties of the nanoparticles used to ferry mRNA; N1-methylpseudouridine employed to prolong synthetic mRNA function; the widespread biodistribution of the mRNA and DNA codes and translated spike proteins, and autoimmunity via human production of foreign proteins, contribute to harmful effects. This paper reviews autoimmune, cardiovascular, neurological, potential oncological effects, and autopsy evidence for spikeopathy. With many gene-based therapeutic technologies planned, a re-evaluation is necessary and timely.

Extracellular Vesicles and Cancer Multidrug Resistance: Undesirable Intercellular Messengers?

Cancer multidrug resistance (MDR) is one of the main mechanisms contributing to therapy failure and mortality. Overexpression of drug transporters of the ABC family (ATP-binding cassette) is a major cause of MDR. Extracellular vesicles (EVs) are nanoparticles released by most cells of the organism involved in cell-cell communication. Their cargo mainly comprises, proteins, nucleic acids, and lipids, which are transferred from a donor cell to a target cell and lead to phenotypical changes. In this article, we review the scientific evidence addressing the regulation of ABC transporters by EV-mediated cell-cell communication. MDR transfer from drug-resistant to drug-sensitive cells has been identified in several tumor entities. This was attributed, in some cases, to the direct shuttle of transporter molecules or its coding mRNA between cells. Also, EV-mediated transport of regulatory proteins (e.g., transcription factors) and noncoding RNAs have been indicated to induce MDR. Conversely, the transfer of a drug-sensitive phenotype via EVs has also been reported. Additionally, interactions between non-tumor cells and the tumor cells with an impact on MDR are presented. Finally, we highlight uninvestigated aspects and possible approaches to exploiting this knowledge toward the identification of druggable processes and molecules and, ultimately, the development of novel therapeutic strategies.

Meta-Analysis of Keratoconus Transcriptomic Data Revealed Altered RNA Editing Levels Impacting Keratin Genomic Clusters.

Keratoconus (KC) is an ocular disorder with a multifactorial origin. Transcriptomic analyses (RNA-seq) revealed deregulations of coding (mRNA) and non-coding RNAs (ncRNAs) in KC, suggesting that mRNA-ncRNA co-regulations can promote the onset of KC. The present study investigates the modulation of RNA editing mediated by the adenosine deaminase acting on dsRNA (ADAR) enzyme in KC. The level of ADAR-mediated RNA editing in KC and healthy corneas were determined by two indexes in two different sequencing datasets. REDIportal was used to localize known editing sites, whereas new putative sites were de novo identified in the most extended dataset only and their possible impact was evaluated. Western Blot analysis was used to measure the level of ADAR1 in the cornea from independent samples. KC was characterized by a statistically significant lower RNA-editing level compared to controls, resulting in a lower editing frequency, and less edited bases. The distribution of the editing sites along the human genome showed considerable differences between groups, particularly relevant in the chromosome 12 regions encoding for Keratin type II cluster. A total of 32 recoding sites were characterized, 17 representing novel sites. JUP, KRT17, KRT76, and KRT79 were edited with higher frequencies in KC than in controls, whereas BLCAP, COG3, KRT1, KRT75, and RRNAD1 were less edited. Both gene expression and protein levels of ADAR1 appeared not regulated between diseased and controls. Our findings demonstrated an altered RNA-editing in KC possibly linked to the peculiar cellular conditions. The functional implications should be further investigated.

Spleen-selective co-delivery of mRNA and TLR4 agonist-loaded LNPs for synergistic immunostimulation and Th1 immune responses

Spleen is an ideal site for initiating and amplifying antigen-specific immune response. However, spleen-selective antigen delivery has limited tumor therapeutic efficacy owing to an inadequate cytotoxic T-cell immune response. In this study, we designed a spleen-selective mRNA vaccine that delivered unmodified mRNA and Toll-like Receptor (TLR) agonists to the spleen after systemic administration, resulting in a sufficient and persistent antitumor cellular immune response with potent tumor immunotherapeutic efficacy. To establish potent tumor vaccines (sLNPs-OVA/MPLA), we co-loaded stearic acid doped lipid nanoparticles with ovalbumin (OVA)-coding mRNA and TLR4 agonists (MPLA). We found that sLNPs-OVA/MPLA facilitated tissue-specific mRNA expression in the spleen after intravenous injection and elicited enhanced adjuvant activity with Th1 immune responses by activating multiple TLRs. In a prophylactic mouse model, sLNPs-OVA/MPLA induced a potent antigen-specific cytotoxic T cell immune response and ultimately prevented the growth of EG.7-OVA tumors with persistent immune memory protection. In addition, sLNPs-OVA/MPLA effectively delayed the tumor growth of EG.7-OVA subcutaneously transplanted lymphoma and lung metastasis formation of B16F10-OVA intravenously injected melanoma. This study showed that the co-delivery of mRNA antigens and appropriate TLR agonists could significantly improve the antitumor immunotherapeutic efficacy of spleen-targeted mRNA vaccines via synergistic immunostimulation and Th1 immune responses.

Impact of COVID-19 Vaccination on Pregnant Women.

In light of the COVID-19 pandemic, researchers across the world hastened to develop vaccines that would aid in bolstering herd immunity. Utilizing mRNA coding and viral vector technology, the currently approved vaccines were required to undergo extensive testing to confirm their safety for mass usage in the general population. However, clinical trials failed to test the safety and efficacy of the COVID-19 vaccines in groups with weakened immune systems, especially pregnant women. Lack of information on the effects of vaccinations in pregnancy and the safety of fetuses are among the topmost reasons preventing pregnant women from receiving immunization. Thus, the lack of data examining the effects of COVID-19 vaccinations on pregnant women must be addressed. This review focused on the safety and efficacy of the approved COVID-19 vaccinations in pregnancy and their impact on both maternal and fetal immune responses. For that, we took the approach of combined systematic review/meta-analysis and compiled the available data from the original literature from PubMed, Web of Science, EMBASE and Medline databases. All articles analyzed presented no adverse effects of vaccination in pregnancy, with varying conclusions on the degree of effectiveness. The majority of the findings described robust immune responses in vaccinated pregnant women, successful transplacental antibody transfer, and implications for neonatal immunity. Hence, findings from the cumulative data available can be helpful in achieving COVID-19 herd immunization, including pregnant women.

Alternative splicing of the SUMO1/2/3 transcripts affects cellular SUMOylation and produces functionally distinct SUMO protein isoforms

Substantial increases in the conjugation of the main human SUMO paralogs, SUMO1, SUMO2, and SUMO3, are observed upon exposure to different cellular stressors, and such increases are considered important to facilitate cell survival to stress. Despite their critical cellular role, little is known about how the levels of the SUMO modifiers are regulated in the cell, particularly as it relates to the changes observed upon stress. Here we characterize the contribution of alternative splicing towards regulating the expression of the main human SUMO paralogs under normalcy and three different stress conditions, heat-shock, cold-shock, and Influenza A Virus infection. Our data reveal that the normally spliced transcript variants are the predominant mature mRNAs produced from the SUMO genes and that the transcript coding for SUMO2 is by far the most abundant of all. We also provide evidence that alternatively spliced transcripts coding for protein isoforms of the prototypical SUMO proteins, which we refer to as the SUMO alphas, are also produced, and that their abundance and nuclear export are affected by stress in a stress- and cell-specific manner. Additionally, we provide evidence that the SUMO alphas are actively synthesized in the cell as their coding mRNAs are found associated with translating ribosomes. Finally, we provide evidence that the SUMO alphas are functionally different from their prototypical counterparts, with SUMO1α and SUMO2α being non-conjugatable to protein targets, SUMO3α being conjugatable but targeting a seemingly different subset of protein from those targeted by SUMO3, and all three SUMO alphas displaying different cellular distributions from those of the prototypical SUMOs. Thus, alternative splicing appears to be an important contributor to the regulation of the expression of the SUMO proteins and the cellular functions of the SUMOylation system.

Expression and significance of m6A-RNA-methylation in oral cancer and precancerous lesion.

Oral potentially malignant disorders (OPMDs) and oral squamous cell carcinoma (OSCC) are a series of related pathologic and molecular events involving simple epithelial hyperplasia, mild to severe dysplasia and canceration. N6-methyladenosine RNA methylation, as the most common modification of both coding mRNA and non-coding ncRNA in eukaryotes, participates in the regulation of the occurrence and development of various malignant tumors in human. However, its role in oral epithelial dysplasia (OED) and OSCC remain unclear. In this study, multiple public databases were used for bioinformatics analysis of 23 common m6A methylation regulators in head and neck squamous cell carcinoma (HNSCC). Protein expressions of IGF2BP2 and IGF2BP3 were verified accordingly in clinical cohort samples of OED and OSCC. Patients with high expression of FTO、HNRNPC、HNRNPA2B1、LRPPRC、IGF2BP1、IGF2BP2、IGF2BP3 had a poor prognosis. IGF2BP2 had a relatively high mutation rate in HNSCC, and its expression was significantly positively correlated with tumor purity, and significantly negatively correlated with the infiltration level of B cells and CD8+T cells. The expression of IGF2BP3 was significantly positively correlated with tumor purity and CD4+T cells. Immunohistochemistrically, the expression of IGF2BP2 and IGF2BP3 in oral simple epithelial hyperplasia, OED and OSCC increased gradually. Both were strongly expressed in OSCC. IGF2BP2 and IGF2BP3 were the potential biological prognostic indicators of OED and OSCC.