Susceptibility Genes Research Articles

Epistatic effects of IGHG and FCGRIIB genes on the development of Alzheimer’s disease in African Americans

Genome-wide association studies (GWAS) of Alzheimer’s disease (AD) have identified a large number of susceptibility genes, but most of AD heritability remains unexplained, implying the existence of additional genes. Furthermore, the majority of the GWAS have been conducted in people of European descent, and the genes important for AD susceptibility in people of African descent have been underexplored. In this hypothesis-generating prospective cohort study, we genotyped 191 African Americans (AAs) from three longitudinal cohorts on aging for the IgG3 allotype GM6, which is expressed exclusively in people of African descent, and assessed its interaction with IGHG, FCGRIIB, and HLA-DRB1 genes. Cox proportional hazards modeling showed that GM6 by itself was not significantly associated with AD development. However, there was evidence of epistatic interaction: The risk of developing AD associated with GM6 positivity was significantly different (p = 0.0098) in non-GM17/GM17 participants compared with GM 17/GM17 participants. Specifically, in non-GM17/GM17 participants, the risk of AD was over fourfold higher in GM6-positive participants compared with GM 6-negative participants (HR = 4.63). Similarly, risk of developing AD associated with GM6 positivity was marginally different in non-FCGRIIB TT participants compared with FCGRIIB TT participants. In non-FCGRIIB TT participants, the risk of developing AD was over twofold higher in GM6-positive participants compared with GM6-negative participants (HR = 2.44). This is the first report suggesting that immunoglobulin GM allotypes might play a role in AD etiology among AAs; however, since this was largely a hypothesis-generating study, replication in larger cohorts would be required to confirm this finding.

Pan-cancer Analysis Combined with Experiments Deciphers PHB Regulation for Breast Cancer Cell Survival and Predicts Biomarker Function.

Breast carcinoma has become the leading fatal disease among women. The location of prohibitin in the chromosome is close to the breast cancer susceptibility gene 1 (BRCA1). Accumulated research reported that prohibitin could interact with a variety of transcription factors and cell cycle-regulating proteins. This present study aims to comprehensively explore and reveal the biological functions of prohibitin on breast cancer via The Cancer Genome Atlas (TCGA) and validation experiment in vitro. Exploring the expression level of prohibitin across 27 tumors based on the TGGA database by bioinformatic methods and its relationship with tumor immune infiltration. Furthermore, we thus analyzed the biological roles of prohibitin on human breast cancer cell line MCF- 7 with pEGFP-prohibitin overexpression plasmid by western blotting and transwell-assay. Firstly, we found prohibitin is overexpressed in most tumors based on The Cancer Genome Atlas database, and the negative relationships between prohibitin and tumors infiltrating lymphocytes including B lymphocyte, CD4 T lymphocyte, CD8 T lymphocyte, Neutrophil, Macrophage and Dendritic, and its significant correlation with the prognosis of human cancer. In vitro, expression not only inhibited cell viability and invasive abilities but also increased the apoptosis percentage of cells with a decreased percentage of the S phase and an increased G2 phase. The reduction of Bcl-2 was observed when prohibitin was upregulated, although the expression of E2F-1 did not change. Although prohibitin is over-expressed in various cancer types, it functions as an important tumor suppressor that may suppress breast cancer cell proliferation and the invasive ability of MCF-7 by influencing its DNA synthesis and promoting cell apoptosis. All these may be likely associated with P53, erbB-2, and Bcl-2.

Sleep and diurnal alternative polyadenylation sites associated with human APA-linked brain disorders

Disruption of sleep and circadian rhythms are a comorbid feature of many pathologies, and can negatively influence many health conditions, including neurodegenerative disease, metabolic illness, cancer, and various neurological disorders. Genetic association studies linking sleep and circadian disturbances with disease susceptibility have mainly focused on changes in gene expression due to mutations, such as single-nucleotide polymorphisms. The interaction between sleep and/or circadian rhythms with the use of Alternative Polyadenylation (APA) has been largely undescribed, particularly in the context of other disorders. APA generates transcript isoforms by utilizing various polyadenylation sites (PASs) from the same gene affecting its mRNA translation, stability, localization, and subsequent function. Here we identified unique APAs expressed in rat brain over time-of-day, immediately following sleep deprivation, and the subsequent recovery period. From these data, we performed a secondary analysis of these sleep- or time-of-day associated PASs with recently described APA-linked human brain disorder susceptibility genes.

The link between the ANPEP gene and type 2 diabetes mellitus may be mediated by the disruption of glutathione metabolism and redox homeostasis.

Aminopeptidase N (ANPEP), a membrane-associated ectoenzyme, has been identified as a susceptibility gene for type 2 diabetes (T2D) by genome-wide association and transcriptome studies; however, the mechanisms by which this gene contributes to disease pathogenesis remain unclear. The aim of this study was to determine the comprehensive contribution of ANPEP polymorphisms to T2D risk and annotate the underlying mechanisms. A total of 3206 unrelated individuals including 1579 T2D patients and 1627 controls were recruited for the study. Twenty-three common functional single nucleotide polymorphisms (SNP) of ANPEP were genotyped by the MassArray-4 system. Six polymorphisms, rs11073891, rs12898828, rs12148357, rs9920421, rs7111, and rs25653, were found to be associated with type 2 diabetes (Pperm ≤ 0.05). Common haplotype rs9920421G-rs4932143G-rs7111T was strongly associated with increased risk of T2D (Pperm = 5.9 × 10-12), whereas two rare haplotypes such as rs9920421G-rs4932143C-rs7111T (Pperm = 6.5 × 10-40) and rs12442778A-rs12898828A-rs6496608T-rs11073891C (Pperm = 1.0 × 10-7) possessed strong protection against disease. We identified 38 and 109 diplotypes associated with T2D risk in males and females, respectively (FDR ≤ 0.05). ANPEP polymorphisms showed associations with plasma levels of fasting blood glucose, aspartate aminotransferase, total protein and glutathione (P < 0.05), and several haplotypes were strongly associated with the levels of reactive oxygen species and uric acid (P < 0.0001). A deep literature analysis has facilitated the formulation of a hypothesis proposing that increased plasma levels of ANPEP as well as liver enzymes such as aspartate aminotransferase, alanine aminotransferase and gammaglutamyltransferase serve as an adaptive response directed towards the restoration of glutathione deficiency in diabetics by stimulating the production of amino acid precursors for glutathione biosynthesis.

Pathogenesis of thoracic ossification of the ligamentum flavum

Thoracic ossification of the ligamentum flavum (TOLF) is characterized by ectopic ossification of the ligamentum flavum in the thoracic spine and is considered the main cause of thoracic spinal stenosis and spinal cord disease. Osteoblast specific transcription factor Osterix (Osx) is required for bone formation, and there is no bone formation or ossification without Osx. Surgical intervention is recognized as the only effective method for TOLF treatment with set of complications. However, underlying mechanisms of TOLF are not well understood. This paper summarizes the pathogenesis of TOLF. Some relevant factors have been discussed, such as mechanical stress, genetic susceptibility genes, endocrine and trace element metabolism abnormalities, which may associate with TOLF. More recent studies using proteomics technology and RNA sequencing approach have discovered that some new factors participate in TOLF by upregulation of Osx gene expression including inflammatory factors. TOLF is a unique disease involving multiple factors. On the other hand, studies on TOLF pathogenic mechanism may provide new ideas for finding possible upstream regulatory factors of Osx and further developing novel drugs to stimulate new bone formation to treat osteoporosis.

Evaluation of durum and hard red spring wheat panels for sensitivity to necrotrophic effectors produced by Parastagonospora nodorum.

Septoria nodorum blotch is an important disease of both durum and hard red spring wheat (HRSW) worldwide. The disease is caused by the necrotrophic fungal pathogen Parastagonospora nodorum when compatible gene-for-gene interactions occur between pathogen-produced necrotrophic effectors (NEs) and corresponding host sensitivity genes. To date, nine sensitivity gene-NE interactions have been identified, but there is little information available regarding their overall frequency in durum and HRSW. Here, we infiltrated a global HRSW panel (HRSWP) and the Global Durum Panel (GDP) with P. nodorum NEs SnToxA, SnTox1, SnTox267, SnTox3, and SnTox5. Frequencies of sensitivity to SnTox1 and SnTox5 were higher in durum compared to HRSW and vice versa for SnTox267 and SnTox3. Strong associations for the known sensitivity loci Tsn1, Snn1, Snn2, Snn3, Snn5, and Snn7 along with potentially novel sensitivity loci on chromosome arms 7DS and 3BL associated with SnToxA and SnTox267, respectively, were identified in the HRSWP. In the GDP, Snn1, Snn3, and Snn5 were identified along with novel loci associated with sensitivity to SnTox267 on chromosome arms 2AS, 2AL, and 6AS and with SnTox5 sensitivity on 2BS and 7BL. These results reveal additional NE sensitivity loci beyond those previously described demonstrating a higher level of genetic complexity of the wheat-P. nodorum system than previously thought. Knowledge regarding the prevalence and genomic locations of SNB susceptibility genes in HRSW and durum will prove useful for developing efficient breeding strategies and improving varieties for SNB resistance.

Genetic Insights into the Enigma of Family Intracranial Aneurysms.

Familial intracranial aneurysms (FIAs) are distinguished by significant genetic predisposition, leading to clustering of cases within families and heightening the risk of subarachnoid hemorrhage (SAH) following aneurysm rupture. This review analyzes recent advancements in understanding the genetic and molecular mechanisms underlying FIAs, focusing on key genetic risk factors and environmental influences. We explore cutting-edge genome-wide association studies (GWAS) and next-generation sequencing (NGS) technologies, which have identified susceptibility genes such as ANGPTL6, PPIL4, and NOTCH3 as crucial contributors to FIA pathophysiology. By incorporating findings from multi-omics and gene-editing research, we highlight the potential for improved screening, preventive strategies, and therapeutic approaches. These insights are essential to advancing precision medicine in managing FIAs, paving the way for collaborative research and targeted interventions.

Efficacy and Tolerability of Olaparib Plus Paclitaxel in Patients with Gastric Cancer Associated with Hereditary Breast and Ovarian Cancer

Helicobacter pylori, a gram-negative, flagellated, helical bacterium, is a common cause of chronic gastric infection worldwide. According to the World Health Organization, H. pylori infection, a specific carcinogenic factor, was the leading cause of gastric cancer (GC) in 2014 worldwide (80%). H. pylori infection causes GC in &gt;98% of patients in East Asian countries, including Japan. However, only some types of GCs are associated with H. pylori infection. Previous clinical studies have revealed that the bacterium secretes cytotoxin-associated gene A antigen, which inhibits the nuclear translocation of the breast cancer susceptibility gene 1 and 2 (BRCA1/2), a factor involved in DNA damage repair. This indicated an association between hereditary breast and ovarian cancers (HBOCs) and the development of GC. However, the detailed mechanisms underlying the development of GC caused by H. pylori infection remain unclear. Using the information on hereditary cancers obtained based on cancer genomic medicine, this study revealed that the incidence of GC was high in families with HBOC, with a preponderance for men from families with HBOC. Furthermore, the use of poly-adenosine diphosphate-ribose polymerase inhibitors in patients with hereditary GC is considered safe and effective. This study provides substantial evidence for guiding the establishment of early treatment for patients with advanced-stage/metastatic GC who harbored BRCA1/2 mutations.

Gene-based burden tests of rare germline variants identify six cancer susceptibility genes.

Discovery of cancer risk variants in the sequence of the germline genome can shed light on carcinogenesis. Here we describe gene burden association analyses, aggregating rare missense and loss of function variants, at 22 cancer sites, including 130,991 cancer cases and 733,486 controls from Iceland, Norway and the United Kingdom. We identified four genes associated with increased cancer risk; the pro-apoptotic BIK for prostate cancer, the autophagy involved ATG12 for colorectal cancer, TG for thyroid cancer and CMTR2 for both lung cancer and cutaneous melanoma. Further, we found genes with rare variants that associate with decreased risk of cancer; AURKB for any cancer, irrespective of site, and PPP1R15A for breast cancer, suggesting that inhibition of PPP1R15A may be a preventive strategy for breast cancer. Our findings pinpoint several new cancer risk genes and emphasize autophagy, apoptosis and cell stress response as a focus point for developing new therapeutics.

Multi-omics Mediated Wide Association Studies: Novel Approaches for Understanding Diseases.

The rapid development of multi-omics (transcriptome, proteome, cistrome, imaging, and regulome) mediated wide association studies methods have opened new avenues for biologists to understand the susceptibility genes underlying complex diseases. Thorough comparisons of these methods are essential for selecting the most appropriate tool for a given research objective. This review provides a detailed categorization and summary of the statistical models, use cases, and advantages of recent multi-omics mediated wide association studies. In addition, to illustrate gene-disease association studies based on transcriptome-wide association studies (TWAS), we collected 478 disease entries across 22 categories from 235 manually reviewed publications. Our analysis reveals that mental disorders are the most frequently studied by TWAS, indicating its potential to deepen our understanding of the genetic architecture of complex diseases. In summary, this review underscores the importance of multi-omics mediated wide association studies in elucidating complex diseases and highlights the significance of selecting the appropriate method for each study.

Whole-exome sequencing to identify causative variants in cases of sudden cardiac death below 50 years

Abstract Background Sudden cardiac death (SCD) in individuals under 50 frequently remains unexplained, especially when no structural cardiac abnormalities are present, a condition known as sudden arrhythmic death (SAD). This study assesses the utility of whole exome sequencing (WES) with a comprehensive gene panel in elucidating the genetic foundations of SCD. Methods SCD autopsy cases from a university hospital (1995-2023) were analysed both retrospectively and prospectively. WES was conducted on 32 cases, employing a virtual panel of 1,304 genes. Variant prioritization was based on pathogenicity according to American College of Medical Genetics and Genomics guidelines. Results WES unveiled causative variants in 22 out of 32 cases (68% diagnostic yield). Of these, 12 cases (38%) possessed pathogenic or likely pathogenic variants, and 17 highly suspicious variants of uncertain significance (VUS/LP) were identified in 10 patients (31%). The diagnostic yield of our comprehensive panel (69%) surpassed that of major susceptibility gene panels, with 22% for primary susceptibility genes and 56% for the TruSight Cardio Panel. Half of the cases had multiple variants, underscoring the genetic complexity of SCD. Of the genes analysed, 18 were associated with cardiac disease on OMIM or ClinGen, while 9, unique to our panel, were linked to cardiac function but had disputed or limited disease associations. Conclusions WES with a specific gene panel, a scheme for variant prioritization, and a comprehensive, multidisciplinary approach to variant interpretation is an effective approach to genetic testing in SCD cases ≤50 years.Added value of WES

An interpretable deep learning model for detecting BRCA pathogenic variants of breast cancer from hematoxylin and eosin-stained pathological images.

Determining the status of breast cancer susceptibility genes (BRCA) is crucial for guiding breast cancer treatment. Nevertheless, the need for BRCA genetic testing among breast cancer patients remains unmet due to high costs and limited resources. This study aimed to develop a Bi-directional Self-Attention Multiple Instance Learning (BiAMIL) algorithm to detect BRCA status from hematoxylin and eosin (H&E) pathological images. A total of 319 histopathological slides from 254 breast cancer patients were included, comprising two dependent cohorts. Following image pre-processing, 633,484 tumor tiles from the training dataset were employed to train the self-developed deep-learning model. The performance of the network was evaluated in the internal and external test sets. BiAMIL achieved AUC values of 0.819 (95% CI [0.673-0.965]) in the internal test set, and 0.817 (95% CI [0.712-0.923]) in the external test set. To explore the relationship between BRCA status and interpretable morphological features in pathological images, we utilized Class Activation Mapping (CAM) technique and cluster analysis to investigate the connections between BRCA gene mutation status and tissue and cell features. Significantly, we observed that tumor-infiltrating lymphocytes and the morphological characteristics of tumor cells appeared to be potential features associated with BRCA status. An interpretable deep neural network model based on the attention mechanism was developed to predict the BRCA status in breast cancer. Keywords: Breast cancer, BRCA, deep learning, self-attention, interpretability.

Diabetes Risk Allele of Transcription Factor 7-like 2 (TCF7L2) Polymorphisms is Associated with Higher Glucagon-like Peptide 1 (GLP1) and Lower Insulin Secretion

BACKGROUND: The most influential susceptible gene associated with diabetes, transcription factor 7-like 2 (TCF7L2), has been observed in diverse populations. TCF7L2 influences type 2 diabetes risk through glucagon-like peptide 1 (GLP1) production. The presence of risk allele of TCF7L2 leads to the alteration of gene expression in pancreatic beta cells; however, how the mechanism is related with GLP1 remains unclear. This study was conducted to explore the variations of GLP1 increment and insulin secretion between individuals with and without diabetes risk allele of single nucleotide polymorphisms (SNPs) in TCF7L2.METHODS: A cross-sectional analytic study was conducted involving individuals subjects who harbored known variants of SNPs in the TCF7L2: heterozygote or mutant of rs12255372 (GT or TT), rs7903146 (CT or TT), rs10885406 (AG or GG); as well as control subjects with wild type of rs12255372 (GG), rs7903146 (CC), and rs10885406 (AA). Anthropometric parameters, blood glucose, insulin, and GLP1 were measured; and homeostasis model assessment-beta cell (HOMA-%B) index was calculated.RESULTS: The GLP1 increment response was higher in subjects carrying the diabetes risk allele (0.34±0.80 ng/mL) than those with the wild type (-0.04±0.57 ng/mL) (p=0.041). The HOMA-%B was reduced in subjects carrying the diabetes risk allele (71.64±24.72) than those with the wild type (103.23±68.00) (p=0.011). Among individuals carrying the diabetes risk allele, the likelihood of GLP1 increment with high response was twice as high (p=0.007), while the occurrence of low HOMA-%B was 1.47 more frequent (p=0.011).CONCLUSION: TCF7L2 polymorphisms were associated with the GLP1 increment response and reduced HOMA-%B, which might be potentially contributing to GLP1 resistance in patients with diabetes risk factors.KEYWORDS: diabetes risk, TCF7L2, GLP1, HOMA-%B

Glutamine and serum starvation alters the ATP production, oxidative stress, and abundance of mitochondrial RNAs in extracellular vesicles produced by cancer cells

Induction of autophagy represents an effective survival strategy for nutrient-deprived or stressed cancer cells. Autophagy contributes to the modulation of communication within the tumor microenvironment. Here, we conducted a study of the metabolic and signaling implications associated with autophagy induced by glutamine (Gln) and serum starvation and PI3K/mTOR inhibitor and autophagy inducer NVP-BEZ235 (BEZ) in the head and neck squamous cell carcinoma (HNSCC) cell line FaDu. We compared the effect of these different types of autophagy induction on ATP production, lipid peroxidation, mitophagy, RNA cargo of extracellular vesicles (EVs), and EVs-associated cytokine secretome of cancer cells. Both BEZ and starvation resulted in a decline in ATP production. Simultaneously, Gln starvation enhanced oxidative damage of cancer cells by lipid peroxidation. In starved cells, there was a discernible fragmentation of the mitochondrial network coupled with an increase in the presence of tumor susceptibility gene 101 (TSG101) on the mitochondrial membrane, indicative of the sorting of mitochondrial cargo into EVs. Consequently, the abundance of mitochondrial RNAs (mtRNAs) in EVs released by FaDu cells was enhanced. Notably, mtRNAs were also detectable in EVs isolated from the serum of both HNSCC patients and healthy controls. Starvation and BEZ reduced the production of EVs by cancer cells, yet the characteristic molecular profile of these EVs remained unchanged. We also found that alterations in the release of inflammatory cytokines constitute a principal response to autophagy induction. Importantly, the specific mechanism driving autophagy induction significantly influenced the composition of the EVs-associated cytokine secretome.

Cross-Tissue Regulatory Network Analyses Reveal Novel Susceptibility Genes and Potential Mechanisms for Endometriosis

Endometriosis (EMT) is a common gynecological disease with a strong genetic component, while its precise etiology remains elusive. This study aims to integrate transcriptome-wide association study (TWAS), Mendelian randomization (MR), and bioinformatics analyses to reveal novel putatively causal genes and potential mechanisms. We obtained summary-level data of the Genotype-Tissue Expression Project (GTEx), v8 expression quantitative loci (eQTL) data, and the genome-wide association study (GWAS) data of EMT and its subtypes from the R11 release results of the FinnGen consortium for analysis. GWAS data of modifiable risk factors were collected from IEU Open GWAS. Cross-tissue TWAS analyses were performed using the unified test for molecular signature (UTMOST), while functional summary-based imputation (FUSION) was employed for single-tissue TWAS analyses. Furthermore, we also conducted multi-marker analysis of genomic annotation (MAGMA) analyses to validate the significant associations. Subsequent Mendelian randomization (MR) and colocalization analysis elucidated the causal associations between the identified genes across various tissues and EMT. To further delve into mechanisms, two-sample network MR analyses were conducted. At last, bioinformatics analyses were employed to enhance our understanding of the functional implications and expression patterns of these identified genes. For EMT, 22 significant gene signals were identified by UTMOST, 615 by FUSION, and 354 by MAGMA. Ultimately, six genes, including CISD2, EFRB, GREB1, IMMT, SULT1E1, and UBE2D3, were identified as candidate susceptibility genes for EMT. Through similar procedures, we identified GREB1, IL1A, and SULT1E1 for EMT of the ovary, and we identified GREB1 for EMT of the pelvic peritoneum, EMT of rectovaginal septum and vagina, and deep EMT. In MR analyses, the expression of IMMT in 21 tissues, EFR3B in the adrenal gland, CISD2 in 17 tissues, and UBE2D3 in 7 tissues demonstrated causal relationships with EMT risk. In addition, CISD2, IMMT, and UBE2D3, across different tissues, exhibited strong colocalization with EMT (PPH4 &gt; 0.7). Two-sample network MR analyses revealed that CISD2, EFR3B, and UBE2D3 could potentially regulate the levels of blood lipids and hip circumference so as to influence the risk of EMT. Furthermore, bioinformatics analyses confirmed our findings and delved into the biological functions of the identified genes. Our study unveiled seven novel candidate genes whose predicted expression was associated with the risk of EMT, providing new insights into the underlying genetic framework of EMT. These findings will facilitate a deeper comprehension of the tissue-specific transcriptional regulatory mechanisms associated with EMT, paving the way for optimizing the management and treatment of EMT.

Exploring the molecular mechanisms of rice blast resistance and advances in breeding for disease tolerance.

Rice blast, caused by the fungus Magnaporthe oryzae (syn. Pyricularia oryzae), is a major problem in rice cultivation and ranks among the most severe fungal diseases. Cloning and identifying resistance genes in rice, coupled with a comprehensive examination of the interaction between M. oryzae and rice, may provide insights into the mechanisms of rice disease resistance and facilitate the creation of new rice varieties with improved germplasm. These efforts are essential for protecting food security. This review examines the discovery of genes that confer resistance or susceptiblity to M. oryzae in rice over the last decade. It also discusses how knowledge of molecular mechanisms has been used in rice breeding and outlines key strategies for creating rice varieties resistant to this disease. The strategies discussed include gene pyramiding, molecular design breeding, editing susceptibility genes, and increasing expression of resistance genes through pathogen challenge. We address the prospects and challenges in breeding for rice blast resistance, emphasizing the need to fully exploit germplasm resources, employ cutting-edge methods to identify new resistance genes, and develop innovative breeding cultivars. Additionally, we underscore the importance of understanding the molecular basis of rice blast resistance and developing novel cultivars with broad-spectrum disease resistance.

MK-801-exposure induces increased translation efficiency and mRNA hyperacetylation of Grin2a in the mouse prefrontal cortex

ABSTRACT Acute exposure to MK-801, the non-competitive N-methyl-D-aspartate (NMDA) receptor antagonist, induces schizophrenia-like behavioural changes in juvenile male mice. However, the effects of acute MK-801 exposure on brain gene expression at the translation level remain unclear. Here, we conducted ribosome profiling analysis on the prefrontal cortex (PFC) of acute MK-801-exposed juvenile male mice. We found 357 differentially translated genes, with the N 4-acetylcytidine (ac4C) consensus motif enriched in the transcripts with increased translation efficiency. Acetylated RNA immunoprecipitation sequencing revealed 148 differentially acetylated peaks, of which 121 were hyperacetylated, and 27 were hypoacetylated. Genes harbouring these peaks were enriched in pathways related to axon guidance, Hedgehog signalling pathway, neuron differentiation, and memory. Grin2a encodes an NMDA receptor subunit NMDAR2A, and its human orthologue is a strong susceptibility gene for schizophrenia. Grin2a mRNA was hyperacetylated and exhibited significantly increased translation efficiency. NMDAR2A protein level was increased in MK-801-exposed PFC. Pretreatment of Remodelin, an inhibitor of N-acetyltransferase 10, returned the NMDAR2A protein levels to normal and partially reversed schizophrenia-like behaviours of MK-801-exposed mice, shedding light on the possible role of mRNA acetylation in the aetiology of schizophrenia.

Super-Enhancer-Driven IRF2BP2 is Activated by Master Transcription Factors and Sustains T-ALL Cell Growth and Survival.

Super enhancers (SEs) are large clusters of transcriptional enhancers driving the expression of genes crucial for defining cell identity. In cancer, tumor-specific SEs activate key oncogenes, leading to tumorigenesis. Identifying SE-driven oncogenes in tumors and understanding their functional mechanisms is of significant importance. In this study, a previously unreported SE region is identified in T-cell acute lymphoblastic leukemia (T-ALL) patient samples and cell lines. This SE activates the expression of interferon regulatory factor 2 binding protein 2 (IRF2BP2) and is regulated by T-ALL master transcription factors (TFs) such as ETS transcription factor ERG (ERG), E74 like ETS transcription factor 1 (ELF1), and ETS proto-oncogene 1, transcription factor (ETS1). Hematopoietic system-specific IRF2BP2 conditional knockout mice is generated and showed that IRF2BP2 has minimal impact on normal T cell development. However, in vitro and in vivo experiments demonstrated that IRF2BP2 is crucial for T-ALL cell growth and survival. Loss of IRF2BP2 affects the MYC and E2F pathways in T-ALL cells. Cleavage under targets and tagmentation (CUT&Tag) assays and immunoprecipitation revealed that IRF2BP2 cooperates with the master TFs of T-ALL cells, targeting the enhancer of the T-ALL susceptibility gene recombination activating 1 (RAG1) and modulating its expression. These findings provide new insights into the regulatory network within T-ALL cells, identifying potential new targets for therapeutic intervention.

Screening of Klebsiella pneumoniae isolates reveals the spread of strong biofilm formers and class 1 integrons.

Klebsiella pneumoniae is a Gram-negative bacterium that can colonize, penetrate, and cause infections at several human anatomical locations. The emergence of hypervirulent K. pneumoniae and its ability to evade the immune system and develop antibiotic resistance has made it a key concern in the healthcare industry. The hypervirulent variants are increasingly involved in community-acquired infections. Therefore, it is pertinent to understand the biofilm formation potential among the clinical isolates. We acquired 225 isolates of K. pneumoniae from the Department of Microbiology, Symbiosis University Hospital and Research Centre (SUHRC), Pune, India over 1 year from March 2022- March 2023, and evaluated antimicrobial susceptibility, hypermucoviscous phenotype, virulence, and antimicrobial-resistant gene distribution in K. pneumoniae isolates and established a correlation between antimicrobial resistance and integrons. Most isolates were strong biofilm formers (76%). The isolates harbored one or more carbapenemase/ beta-lactamase encoding gene combinations. Hypermucoviscous (HMKP) isolates had considerably greater positive rates for iutA, magA, K2 serotype, rmpA, and rmpA2 than non-HMKP isolates. Isolates carrying integrons (43%) showed significantly more antibiotic resistance. The study reveals spread of strong biofilm formers with extensive virulence and antimicrobial-resistant genes, and integrons responsible for multi-drug resistance among the clinical isolates of K. pneumoniae in Pune, India, posing a threat to the public health and necessitating close surveillance, accurate diagnosis, control, and therapeutic management of infections.

Splicing Dysregulation of Non-Canonical GC-5′ Splice Sites of Breast Cancer Susceptibility Genes ATM and PALB2

Background/Objectives: The non-canonical GC-5′ splice sites (5′ss) are the most common exception (~1%) to the classical GT/AG splicing rule. They constitute weak 5′ss and can be regulated by splicing factors, so they are especially sensitive to genetic variations inducing the misrecognition of their respective exons. We aimed to investigate the GC-5′ss of the breast/ovarian cancer susceptibility genes, ATM (exon 50), BRIP1 (exon 1), and PALB2 (exon 12), and their dysregulation induced by DNA variants. Methods: Splicing assays of the minigenes, mgATM_49-52, mgBRIP1_1-2, and mgPALB2_5-12, were conducted to study the regulation of the indicated GC-5′ss. Results: A functional map of the splicing regulatory elements (SRE) formed by overlapping exonic microdeletions revealed three essential intervals, ATM c.7335_7344del, PALB2 c.3229_3258del, and c.3293_3322del, which are likely targets for spliceogenic SRE-variants. We then selected 14 ATM and 9 PALB2 variants (Hexplorer score &lt; −40) located at these intervals that were assayed in MCF-7 cells. Nine ATM and three PALB2 variants affected splicing, impairing the recognition of exons 50 and 12, respectively. Therefore, these variants likely disrupt the active SREs involved in the inclusion of both exons in the mature mRNA. DeepCLIP predictions suggested the participation of several splicing factors in exon recognition, including SRSF1, SRSF2, and SRSF7, involved in the recognition of other GC sites. The ATM spliceogenic variants c.7336G&gt;T (p.(Glu2446Ter)) and c.7340T&gt;A (p.(Leu2447Ter)) produced significant amounts of full-length transcripts (55–59%), which include premature termination stop codons, so they would inactivate ATM through both splicing disruption and protein truncation mechanisms. Conclusions: ATM exon 50 and PALB2 exon 12 require specific sequences for efficient recognition by the splicing machinery. The mapping of SRE-rich intervals in minigenes is a valuable approach for the identification of spliceogenic variants that outperforms any prediction software. Indeed, 12 spliceogenic SRE-variants were identified in the critical intervals.