Identification Of Target Genes Research Articles

A Multistep In Silico Approach Identifies Potential Glioblastoma Drug Candidates via Inclusive Molecular Targeting of Glioblastoma Stem Cells.

Glioblastoma (GBM) is the highest grade of glioma for which no effective therapy is currently available. Despite extensive research in diagnosis and therapy, there has been no significant improvement in GBM outcomes, with a median overall survival continuing at a dismal 15-18months. In recent times, glioblastoma stem cells (GSCs) have been identified as crucial drivers of treatment resistance and tumor recurrence, and GBM therapies targeting GSCs are expected to improve patient outcomes. We used a multistep in silico screening strategy to identify repurposed candidate drugs against selected therapeutic molecular targets in GBM with potential to concomitantly target GSCs. Common differentially expressed genes (DEGs) were identified through analysis of multiple GBM and GSC datasets from the Gene Expression Omnibus (GEO) and The Cancer Genome Atlas (TCGA). For identification of target genes, we selected the genes with most significant effect on overall patient survival. The relative mRNA and protein expression of the selected genes in TCGA control versus GBM samples was also validated and their cancer dependency scores were assessed. Drugs targeting these genes and their corresponding proteins were identified from LINCS database using Connectivity Map (CMap) portal and by in silico molecular docking against each individual target using FDA-approved drug library from the DrugBank database, respectively. The molecules thus obtained were further evaluated for their ability to cross blood brain barrier (BBB) and their likelihood of resulting in drug resistance by acting as p-glycoprotein (p-Gp) substrates. The growth inhibitory effect of these final shortlisted compounds was examined on a panel of GBM cell lines and compared with temozolomide through the drug sensitivity EC50 values and AUC from the PRISM Repurposing Secondary Screen, and the IC50 values were obtained from GDSC portal. We identified RPA3, PSMA2, PSMC2, BLVRA, and HUS1 as molecular targets in GBM including GSCs with significant impact on patient survival. Our results show GSK-2126458/omipalisib, linifanib, drospirenone, eltrombopag, nilotinib, and PD198306 as candidate drugs which can be further evaluated for their anti-tumor potential against GBM. Through this work, we identified repurposed candidate therapeutics against GBM utilizing a GSC inclusive targeting approach, which demonstrated high in vitro efficacy and can prospectively evade drug resistance. These drugs have the potential to be developed as individual or combination therapy to improve GBM outcomes.

Abstract LB289: Single-cell CRISPR screens at scale to understand T cell biology

Abstract CRISPR screens have become the primary discovery engine in modern biology and are widely used to uncover novel targets in immuno-oncology. However, these genetic screens are usually coupled to rather simplistic read-outs such as cell fitness. In contrast, CROP-Seq (or “CRISPR Droplet” Sequencing) screens combine CRISPR perturbation with single-cell transcriptomics, enabling high-content phenotyping at single-cell resolution. Briefly, cells are perturbed with a pooled sgRNA library and transcriptomic profiles of each cell are recorded using conventional single-cell RNA sequencing platforms. Currently, the scale of these screens is limited to the perturbation of a couple of hundred genes, possibly up to 1.000 genes, because of increased costs for single-cell library preparation and next generation sequencing (NGS). At Myllia, we have built a platform allowing high-content CROP-Seq screens in both CRISPR-ready cancer cell lines as well as primary immune cells, e.g., human T cells. Using CRISPR KO, CRISPR interference or CRISPR activation workflows, we can help accelerate the identification of target genes and regulatory networks involved in immuno-oncology. Primary T cells are of great interest in the immunotherapy community as they are key players in autoimmune and inflammatory disease. Engineered T-lymphocytes such as CAR-T cells are currently developed as novel cellular medicines, yet many T cell-intrinsic features involved in CAR-T potency remain elusive. To enable the discovery of novel targets, we have performed multiple customized CROP-Seq CRISPR KO screens in primary human T cells investigating T cell stemness and effector phenotypes as well as CD4+ T helper cell differentiation towards Th1, Th2, or Th17 subsets. Here, we present screens for regulators of functional T cell plasticity and Th2 commitment in which we aimed to identify genes determining critical T cell fate decisions, potentially linking gene (dys)function to either autoimmune/inflammatory disease or functional persistence of cytotoxic T cells for cancer immunotherapy. Overall, the advanced CROP-Seq platform combining large-scale perturbations and targeted sequencing (TA) read-outs will catalyse a paradigm shift for CROP-Seq enabling high-throughput functional genomic screens that support the validation of drug targets in autoimmunity, inflammation and immuno-oncology. Citation Format: Nicole Untermoser, Johanna Irnstorfer, Anatoly Vasilyev, Nikola Vinko, Sumit Pawar, Anke Loregger, Adam Krejci, Henrik Schmidt, Tilmann Bürckstümmer. Single-cell CRISPR screens at scale to understand T cell biology [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 LB289.

A comprehensive analysis of pneumococcal two-component system regulatory networks.

Two-component systems are key signal-transduction systems that enable bacteria to respond to a wide variety of environmental stimuli. The human pathogen, Streptococcus pneumoniae (pneumococcus) encodes 13 two-component systems and a single orphan response regulator, most of which are significant for pneumococcal pathogenicity. Mapping the regulatory networks governed by these systems is key to understand pneumococcal host adaptation. Here we employ a novel bioinformatic approach to predict the regulons of each two-component system based on publicly available whole-genome sequencing data. By employing pangenome-wide association studies (panGWAS) to predict genotype-genotype associations for each two-component system, we predicted regulon genes of 11 of the pneumococcal two-component systems. Through validation via next-generation RNA-sequencing on response regulator overexpression mutants, several top candidate genes predicted by the panGWAS analysis were confirmed as regulon genes. The present study presents novel details on multiple pneumococcal two-component systems, including an expansion of regulons, identification of candidate response regulator binding motifs, and identification of candidate response regulator-regulated small non-coding RNAs. We also demonstrate a use for panGWAS as a complementary tool in target gene identification via identification of genotype-to-genotype links. Expanding our knowledge on two-component systems in pathogens is crucial to understanding how these bacteria sense and respond to their host environment, which could prove useful in future drug development.

Identification of target genes and pathways regulated by miRNA-132, miRNA-182, and miRNA-124 in depression: a bioinformatics analysis

Identification of target genes and pathways regulated by miRNA-132, miRNA-182, and miRNA-124 in depression: a bioinformatics analysis

Identification of candidate genes associated with peanut pod length by combined analysis of QTL-seq and RNA-seq

Pod length (PL) is one of the major traits determining pod size and yield of peanut. Discovering the quantitative trait loci (QTL) and identifying candidate genes associated with PL are essential for breeding high-yield peanut. In this study, quantitative trait loci sequencing (QTL-seq) was performed using the F2 population constructed by a short-pod variety Tifrunner (Tif) and a long-pod line Lps, and a 0.77 Mb genomic region on chromosome 07 was identified as the candidate region for PL. Then, the candidate region was narrowed to a 265.93 kb region by traditional QTL approach. RNA-seq analysis showed that there were four differentially expressed genes (DEGs) in the candidate region, among which Arahy.PF2L6F (AhCDC48) and Arahy.P4LK2T (AhTAA1) were speculated to be PL-related candidate genes. These results were informative for the elucidation of the underlying regulatory mechanism in peanut pod length and would facilitate further identification of valuable target genes.

The GATA transcriptional program dictates cell fate equilibrium to establish the maternal–fetal exchange interface and fetal development

The placenta establishes a maternal-fetal exchange interface to transport nutrients and gases between the mother and the fetus. Establishment of this exchange interface relies on the development of multinucleated syncytiotrophoblasts (SynT) from trophoblast progenitors, and defect in SynT development often leads to pregnancy failure and impaired embryonic development. Here, we show that mouse embryos with conditional deletion of transcription factors GATA2 and GATA3 in labyrinth trophoblast progenitors (LaTPs) have underdeveloped placenta and die by ~embryonic day 9.5. Single-cell RNA sequencing analysis revealed excessive accumulation of multipotent LaTPs upon conditional deletion of GATA factors. The GATA factor-deleted multipotent progenitors were unable to differentiate into matured SynTs. We also show that the GATA factor-mediated priming of trophoblast progenitors for SynT differentiation is a conserved event during human placentation. Loss of either GATA2 or GATA3 in cytotrophoblast-derived human trophoblast stem cells (human TSCs) drastically inhibits SynT differentiation potential. Identification of GATA2 and GATA3 target genes along with comparative bioinformatics analyses revealed that GATA factors directly regulate hundreds of common genes in human TSCs, including genes that are essential for SynT development and implicated in preeclampsia and fetal growth retardation. Thus, our study uncovers a conserved molecular mechanism, in which coordinated function of GATA2 and GATA3 promotes trophoblast progenitor-to-SynT commitment, ensuring establishment of the maternal-fetal exchange interface.

Identification of Target Genes Associated with Vitamin C Treatment in Renal Cell Carcinoma

Identification of Target Genes Associated with Vitamin C Treatment in Renal Cell Carcinoma

The transcription factor OsbZIP48 governs rice responses to zinc deficiency.

Zinc (Zn) deficiency is the most prevalent micronutrient disorder in rice and leads to delayed development and decreased yield. Nevertheless, despite its primary importance, how rice responds to Zn deficiency remains poorly understood. This study presents genetic evidence supporting the crucial role of OsbZIP48 in regulating rice's response to Zn deficiency, consistent with earlier findings in the model plant Arabidopsis. Genetic inactivation of OsbZIP48 in rice seedlings resulted in heightened sensitivity to Zn deficiency and reduced Zn translocation from roots to shoots. Consistently, OsbZIP48 was constitutively expressed in roots, slightly induced by Zn deficiency in shootsand localized into nuclei induced by Zn deficiency. Comparative transcriptome analysis of the wild-type plants and osbzip48 mutant grown under Zn deficiency enabled the identification of OsbZIP48 target genes, including key Zn transporter genes (OsZIP4 and OsZIP8). We demonstrated that OsbZIP48 controlled the expressions of these genes by directly binding to their promoters, specifically to the Zn deficiency response elementmotif. This study establishes OsbZIP48 as a critical transcription factor in rice's response to Zn deficiency, offering valuable insights for developing Zn-biofortified rice varieties to combat global Zn limitation.

Abstract B035: Investigating the roles of GLI transcription factors in the pancreatic cancer microenvironment

Abstract Pancreatic ductal adenocarcinoma (PDA) remains a difficult cancer to treat due to an extensive and complex tumor microenvironment. In particular, intercellular signaling between tumor cells, fibroblasts and immune cells is a key contributor to pancreatic tumor growth. One of these signals, the Hedgehog (HH) pathway, is a known feature of PDA. Pancreatic tumor cells secrete HH ligands, which signal in a paracrine fashion to fibroblasts in the tumor microenvironment. Notably, the role of HH signaling is complicated, with reports suggesting both tumor-promoting and tumor-restraining functions in pancreatic cancer. GLI proteins (GLI1-3) are the transcriptional effectors of the HH pathway; their contribution to pancreatic tumor growth is equally complex. This study seeks to investigate the contribution of GLI1-3 in PDA progression. Our lab has demonstrated that Gli1-3 are expressed in pancreatic fibroblasts and that all three Glis functionally contribute to pancreatic cancer progression through effects on immune cell infiltration. To further explore the mechanisms of GLI function, we have generated a novel mouse model carrying endogenous, epitope-tagged Gli alleles (Gli1FLAG/FLAG;Gli2HA/HA;Gli3V5/V5). This model will allow us to define GLI protein processing and localization as well as the identification of target genes to elucidate the contribution of GLI-driven transcriptional programs that regulate tumor immune infiltration in PDA. Citation Format: Paola Isabel Medina-Cabrera, Michael Scales, Nina Steele, Benjamin Allen, Marina Pasca di Magliano. Investigating the roles of GLI transcription factors in the pancreatic cancer microenvironment [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: Pancreatic Cancer; 2023 Sep 27-30; Boston, Massachusetts. Philadelphia (PA): AACR; Cancer Res 2024;84(2 Suppl):Abstract nr B035.

Identification of MicroRNAs Binding Site in the 3’Untranslated Region of Long Non-Coding RNA, MIR497HG: A Bioinformatic Prediction

Introduction: Prediction and identification of miRNAs target genes are crucial for understanding the biology of miRNAs. Amidst reported long-coding RNA (lncRNA), the microRNA 195-497 cluster host gene (MIR497HG) regulation is mediated by multiple non-coding RNAs (ncRNAs) such as microRNAs (miRNAs). MIR497HG has been implicated as a tumour suppressor in various cancers. However, the impact of MIR497HG and its derived miRNAs is largely unknown and still needs to be further explored. Employing an experimental approach is often challenging since some lncRNAs are difficult to identify and isolate by the current isolation technique. Thus, bioinformatic tools are introduced to aid these problems. This study sought to search and identify the miRNAs targeting the 3’untranslated region (3’UTR) of MIR497HG. Methods: Here, bioinformatic tools were adopted to identify a unique list of miRNAs that potentially target the 3’UTR of MIR497HG. Results: A total of 57 candidate miRNAs that target the 3’UTR of MIR497HG were extracted using the miRDB. Meanwhile, STarMir predicted 291 miRNAs that potentially target the 3’UTR of MIR497HG. A common list of 36 miRNAs was obtained using the Venny 2.1.0 and further narrowed down using the LogitProb score of StarMir. Finally, a total 4 miRNAs (hsa-miR-3182, hsa-miR-7156-5p, hsa-miR-452-3p and hsa-miR-2117) were identified. The mRNA target of identified miRNAs was identified by TargetScan. Finally, Gene Ontology (GO) and the Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis of mRNA target was done using Enrichr. Conclusion: This finding could be useful in understanding the complex interaction between MIR497HG and its regulatory miRNA. In addition, a comparative analysis of computational miRNA-target predictions is provided in this study would potentially lay the foundations for miRNAs to be used for biomarkers in cancer research.

Identification of Prognosis-Related Genes and Key Target Genes for Pancreatic Cancer: A Bioinformatics Analysis

Identification of Prognosis-Related Genes and Key Target Genes for Pancreatic Cancer: A Bioinformatics Analysis

Comprehensive Analysis of microRNA Methylation Profiles and Determination of Their Functional Significance in Colorectal Cancer: A Study Protocol

Colorectal cancer (CRC) is a leading cause of cancer-associated fatalities globally. Despite the notable progress in diagnostics and patient care, challenges persist in areas such as early detection, prognostic variable identification, metastatic disease treatment, and personalised treatment options. In CRC, microRNAs, a type of short non-coding RNA, are found to be deregulated and can significantly influence its onset and progression. However, previous microRNA research primarily focused on expression levels to ascertain their biological significance, leaving the microRNA methylation landscapes in CRC patients largely unexplored. This study aims to investigate the genome-wide methylome profiles of microRNA and clarify their roles in CRC. We will analyse the microRNA methylation profiles from our in-house data of more than 100 CRCs and correlate the differentially methylated microRNAs with clinicopathological features. To understand the biological significance of methylated microRNAs, we will perform pathway enrichment analysis and molecular dynamics simulations to examine the binding of argonaut protein to the differentially methylated microRNAs and the structural changes involved. Furthermore, we will conduct functional studies to determine the roles of selected microRNAs. CRC cell lines with hypermethylated microRNA of interest will be treated with a demethylating agent, followed by cell-based assays. Subsequent transcriptome-wide microRNA gene target identification and protein profiling will be performed to interrogate the molecular pathways affected by demethylation of the microRNA of interest. Methylation signifies a major transformation in cancer detection, as widespread epigenetic changes could potentially provide superior early-stage cancer detection and classification compared to somatic mutations. Effective CRC diagnosis ensures timely and appropriate treatment for patients, thereby improving their quality of life. The insights gained from this study could be applied to individualized health diagnostics, disease prognostication, and treatment monitoring.

Identification of potential target genes of cardiac glycosides from Vernonia amygdalina Delile in HER2+ breast cancer cells

Vernonia amygdalina Delile or bitter leaf, a traditional medicinal plant endemic to Africa, has shown anticancer properties by inhibiting the downstream signaling of human epidermal growth factor receptor 2 (HER2) in several cancer cells through the PI3K/AKT/mTOR pathways. This study explored the potential target of Vemonia cardiac glycosides for the treatment of HER2+ breast cancer (CTG) using bioinformatics and in vitro experiments. The similarity ensemble technique Swiss TargetPrediction was used to predict protein targets of cardiac glycosides. DisGeNET and UALCAN were used to collect the regulatory genes of HER2+ breast cancer cells. We obtained 75 CTG sequences from the predicted target and regulatory genes of HER2+ breast cancer. Subsequent analysis of Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment revealed that CTG was enriched for multiple pathways, such as PI3K-Akt signaling, breast cancer, EGFR tyrosine kinase inhibitor resistance, and ErbB signaling pathways. Further bioinformatic analysis identified five CTG: ERBB2, ESR1, EGFR, PIK3CA, and PTPN11. The ethanolic extract and its ethyl acetate fraction of V. amigdalina were referred to as REF and EA, respectively. Cytotoxicity tests showed that EA exerted strong cytotoxicity on MCF-7/HER2 cells by inducing S-phase cell cycle arrest and apoptosis, modulating the mRNA expression of CTG: ERBB2, ESR1, and proliferation and apoptosis markers, PCNA, CCND1, BAX, BCL2, and CASP7. Future studies should develop EA and cardiac glycosides as anticancer agents against HER2+breast cancer cells.

Plasma microRNA Profiling in Type 2 Diabetes Mellitus: A Pilot Study.

Type 2 diabetes mellitus (T2D) is a chronic metabolic disease characterized by insulin resistance and β-cell dysfunction and leading to many micro- and macrovascular complications. In this study we analyzed the circulating miRNA expression profiles in plasma samples from 44 patients with T2D and 22 healthy individuals using next generation sequencing and detected 229 differentially expressed miRNAs. An increased level of miR-5588-5p, miR-125b-2-3p, miR-1284, and a reduced level of miR-496 in T2D patients was verified. We also compared the expression landscapes in the same group of patients depending on body mass index and identified differential expression of miR-144-3p and miR-99a-5p in obese individuals. Identification and functional analysis of putative target genes was performed for miR-5588-5p, miR-125b-2-3p, miR-1284, and miR-496, showing chromatin modifying enzymes and apoptotic genes being among the significantly enriched pathways.

PSIII-20 Transcriptional and Functional Analyses of Intramuscular, Subcutaneous, and Visceral Adipose Tissue in Finished Beef Cattle

Abstract Intramuscular adipose tissue (IMAT; marbling) deposition is a highly desired trait in beef cattle. Unlike excessive subcutaneous (SCAT) and visceral (VIAT) adipose tissue, which have relatively low value, increased marbling is associated with meat sensory traits and is a primary factor influencing beef quality grading in the U.S. However, this trait is difficult to achieve. Our objective was to assess depot-specific characteristics and gene profile of IMAT, SCAT, and VIAT in beef cattle. IMAT and SCAT samples from the longissimus muscle (9-11th ribs), and VIAT from the greater omentum were collected from four beef animals at harvest. Adipose tissue (AT) samples were flash frozen in liquid nitrogen, followed by RNA extraction (Trizol reagent) and RNA sequencing analysis on an Illumina Novaseq 6000 platform to generate 150 bp paired-end reads. DESeq2 R package was used for differential gene expression analysis (DEG) and DEG (P ≤ 0.05, log2FC ≥ 1) were evaluated for KEGG enrichment pathways. Remainder tissue samples were assessed for viscoelasticity (rheometer), collagen fibrillogenesis (kinetics), and adipocyte size (K2 Cellometer). Transcriptome analysis revealed over 4,000 DEG between IMAT and SCAT, over 3,000 DEG between VIAT and IMAT, and 1,018 DEG between VIAT and SCAT, thus indicating substantial transcriptional diversity among AT depots (Figure 1). Top upregulated genes in SCAT vs. IMAT were associated with increased lipid accumulation and regulation such as LIPE, LEP, ADIPOQ, PPARG, and extracellular matrix (ECM) remodeling, including collagens, MMP14, and TIMP4. Accordingly, enrichment analysis revealed an activation of PPARG signaling pathways and fatty acid metabolism in SCAT vs. IMAT, which are key for lipogenesis and adipogenesis (Figure 2). IMAT showed activation of pathways for thermogenesis and oxidative phosphorylation compared with both SCAT and VIAT, indicating that IMAT utilization may be more directed towards muscle function and development (Figure 2 and 3). Top VIAT DEG were primarily associated with immune cell adhesion, and immune response (CDHR1, TENM2, and TNFRSF9), suggesting a pro-inflammatory profile of visceral adiposity. Notably, enrichment analysis showed an activation of the immune function in VIAT compared with IMAT and SCAT (Figures 3 and 4). In agreement with transcriptome analysis, adipocyte size was increased in SCAT vs. IMAT and VIAT, implying higher lipid accumulation (Figure 5). SCAT was also stiffer and had increased collagen fibrillogenesis compared with IMAT, suggesting a key role for ECM in mechanisms of AT adipogenesis and lipogenesis (Figure 5). In summary, these results indicate that AT anatomical location impacts AT transcriptome, which may translate into functional differences in adipogenesis and ECM remodeling. Understanding transcriptional and functional differences among IMAT, SCAT and VIAT can help on the identification of target genes to modulate AT deposition in distinct areas of the body, therefore, improving quality of beef carcasses and industry profitability.

PYGO2-MDR1 Axis in Multiple Myeloma Patients with 1q21 Amplification As Promising Target to Overcome Carfilzomib Resistance

Multiple myeloma (MM) is a hematological malignancy characterized by an accumulation of clonal plasma cells (PCs) in the bone marrow (BM). Gain and/or amplification of 1q21 (1q21+) is one of the most frequent secondary cytogenetic abnormalities present in MM patients and in smoldering MM (SMM). The incidence and copy number alteration (CNA) of the 1q21 region increase during the progression and relapse of the disease; in fact, additional copies of 1q21 can be detected in around 40% of newly diagnosed MM (NDMM) and 70% of relapse-refractory MM (RRMM). Recently, 1q21+ has been identified as an adverse prognostic factor in MM patients and its presence has been correlated with a shorter duration of the response in MM patients treated with carfilzomib (CFZ)-based regimens. Thus, the identification of possible target genes in 1q21 region is an emerging unmet medical need in MM patients. PYGOPUS2 (PYGO2) is a gene located in the 1q21 chromosomal region and it is a downstream target of β-catenin, and it has been shown to promote the transcription of gene target of the Wnt-signaling, forming a nuclear complex with β-catenin/BCL9. Different studies have reported that upregulation of PYGO2 is involved in tumorigenesis in breast and lung cancers, showing that overexpression of PYGO2 leads to drug resistance by promoting the activation of the multidrug resistance 1 polypeptide ( MDR1). The expression profile of PYGO2 in1q21+ MM patients and its possible role in CFZ resistance is still unknown and have been investigated in this study. Firstly, we purified CD138 + PCs from BM samples from 18 NDMM and from 11 SMM patients. Fluorescent in situ hybridization (FISH) analysis was performed on purified CD138 + PCs for all patients to access CNA in the region 1q21. A score indicating the number of 1q21 copies was calculated based on the FISH hybridization pattern of each patient. 14/29 (48%) patients presented CNA in the 1q21 region. The expression profile of all 29 samples was generated using GeneChip ClariomD Arrays (Affymetrix Inc., Santa Clara, CA, USA) . The sam package was used to identify differentially expressed genes between 1q21+ and control samples. Our analysis identified PYGO2 to be significantly upregulated in patients with 1q21+ when compared with controls (p= 0.0008). Additionally, we found a positive correlation between gene expression and the 1q21 copy number (p= <0.0001, r= 0.6738). Secondly, we evaluated PYGO2 mRNA expression levels in several human myeloma cell lines (HMCLs) with 1q21 CNA. Our results showed that PYGO2 is overexpressed in HMCLs with 1q21 CNA. Previous studies in solid tumor have shown that PYGO2 is upregulated in drug resistant cancer cells, and this upregulation results in overexpression of MDR1; indeed, we evaluated the mRNA expression of PYGO2 in CFZ-resistant HMCLs. Interestingly our results showed that both PYGO2 and MDR1 expression are upregulated in CFZ-R cells. We next examined the relationship between PYGO2 and MDR1. We generated a PYGO2-knockdown in JJN3 MM cell line using short hairpin RNA (shRNA) lentivectors. Knockdown of PYGO2 resulted in a significant decrease in expression PYGO2, a decrease in cell viability, and a reduction in MDR1 expression. In conclusion, our results show that PYGO2 expression is significantly upregulated in MM patients carrying 1q21+ and that its expression is correlated with 1q21 copy number. Moreover, we found that the PYGO2-MDR1 axis is involved in the CFZ resistance in HMCLs MM cells suggesting that PYGO2 could be a possible future druggable target in 1q21+ MM patients.

Loss of function of ribosomal protein L13a blocks blastocyst formation and reveals a potential nuclear role in gene expression.

Ribosomal proteins play diverse roles in development and disease. Most ribosomal proteins have canonical roles in protein synthesis, while some exhibit extra-ribosomal functions. Previous studies in our laboratory revealed that ribosomal protein L13a (RPL13a) is involved in the translational silencing of a cohort of inflammatory proteins in myeloid cells. This prompted us to investigate the role of RPL13a in embryonic development. Here we report that RPL13a is required for early development in mice. Crosses between Rpl13a+/- mice resulted in no Rpl13a-/- offspring. Closer examination revealed that Rpl13a-/- embryos were arrested at the morula stage during preimplantation development. RNA sequencing analysis of Rpl13a-/- morulae revealed widespread alterations in gene expression, including but not limited to several genes encoding proteins involved in the inflammatory response, embryogenesis, oocyte maturation, stemness, and pluripotency. Exvivo analysis revealed that RPL13a was localized to the cytoplasm and nucleus between the two-cell and morula stages. RNAi-mediated depletion of RPL13a phenocopied Rpl13a-/- embryos and knockdown embryos exhibited increased expression of IL-7 and IL-17 and decreased expression of the lineage specifier genes Sox2, Pou5f1, and Cdx2. Lastly, a protein-protein interaction assay revealed that RPL13a is associated with chromatin, suggesting an extra ribosomal function in transcription. In summary, our data demonstrate that RPL13a is essential for the completion of preimplantation embryo development. The mechanistic basis of the absence of RPL13a-mediated embryonic lethality will be addressed in the future through follow-up studies on ribosome biogenesis, global protein synthesis, and identification of RPL13a target genes using chromatin immunoprecipitation and RNA-immunoprecipitation-based sequencing.

Chromosome-level genome assembly of Bactrocera correcta provides insights into its adaptation and invasion mechanisms

Bactrocera correcta is an invasive polyphagous pest with significant ecological and economic implications. Understanding its genetic characteristics and the molecular mechanisms that drive its rapid adaptation to new environments requires genomic information. In this study, we successfully assembled the chromosome-level genome of B. correcta using PacBio long-read sequencing, Illumina sequencing, and chromatin conformation capture (Hi-C) methods. The final genome assembly spans a total length of 702.65 Mb. We managed to anchor approximately 86.88% of the assembled contigs into 6 linkage groups, ranging from 17.97 Mb to 166.49 Mb. Additionally, our analysis predicted a total of 21,015 genes, with repetitive sequences accounting for 58.22% of the genome. We further identified retroelements and DNA transposons as the major contributors to the larger size of the B. correcta genome, constituting 36.06% and 30.92% of the repetitive sequences, respectively. Our divergence time estimation placed B. correcta's split from other Bactrocera species at around 5.99–16.71 million years ago. Through gene family analyses, we discovered significant expansions in chemosensory-related gene families (IR, GR), heat shock proteins (HSP60), and resistance-related gene families (ABC) in B. correcta compared to its closest relatives. Transcriptomic analysis revealed substantial upregulation of HSP genes, especially those from the HSP20 subfamily, in response to high temperatures. The availability of this reference genome serves as a foundation for the identification of precise target genes in B. correcta, facilitating molecular prevention and control strategies.

PRMT5 regulates the polysaccharide content by controlling the splicing of thaumatin-like protein in Ganoderma lucidum.

In the current study, the silencing of protein arginine methyltransferase 5 (PRMT5) decreased the polysaccharide content of Ganoderma lucidum compared to that of the wild-type (WT) strain. Furthermore, RNA-seq screening showed that the glycan degradation process-related gene thaumatin-like protein (TLP) was alternatively spliced in WT strains via retained introns, leading to the production of a longer TLP1 isoform and a shorter TLP2 isoform; however, only the TLP2 isoform was observed in PRMT5i strains. Experiments examining the polysaccharide content of the TLP silencing, TLP1 overexpression (OE-TLP1), and TLP2 overexpression (OE-TLP2) transformants revealed that TLP2 plays a more important role than TLP1 in polysaccharide degradation. Through a combination of yeast two-hybrid, bimolecular fluorescence complementation and surface plasmon resonance assays, we found that TLP2 directly physically interacted with phosphoglucose isomerase (PGI), a key enzyme in polysaccharide synthesis, and thereby increased PGI activity. However, TLP1 failed to interact with PGI, and PGI activity was not affected. Further inspection showed that the polysaccharide content was decreased in the OE-TLP2 strains but not significantly changed in the OE-TLP1 strains compared with that in the WT strains. In addition, the polysaccharide content of the PRMT5-TLP-cosilenced strains was not significantly different from that of the WT strains. These results demonstrate that PRMT5 modulates TLP processing of pre-mRNA transcripts and thereby decreases the polysaccharide content.IMPORTANCEPRMT5 contributes to secondary metabolite biosynthesis in Ganoderma lucidum. However, the mechanism through which PRMT5 regulates the biosynthesis of secondary metabolites remains unclear. In the current study, PRMT5 silencing led to a significant decrease in the biosynthesis of polysaccharides from G. lucidum through the action of the alternative splicing of TLP. A shorter TLP2 isoform can directly bind to PGI and regulated polysaccharide biosynthesis. These results suggest that PRMT5 enhances PGI activity by regulating TLP binding to PGI. The results of the current study reveal a novel target gene for PRMT5-mediated alternative splicing and provide a reference for the identification of PRMT5 regulatory target genes.

MicroRNA-582-3p knockdown alleviates non-alcoholic steatohepatitis by altering the gut microbiota composition and moderating TMBIM1.

The gut dysbiosis correlates with non-alcoholic steatohepatitis (NASH), involving the moderation of miRNAs. This study was aimed to investigate the correlation between gut microbiota and miR-582-3p in patients with non-alcoholic steatohepatitis (NASH) and to explore the possible regulation of miR-582-3p in the function of the activated hepatic stellate cells (HSCs). GSE69670 and GSE14435 datasets were analyzed by GEO2R. Plasma and fecal samples were obtained from the subjects, non-steatosis (n = 35), simple steatosis (n = 35), and NASH (n = 35). The variations in intestinal microbiota in the non-steatosis and NASH groups were analyzed using 16S rRNA sequencing. The expression of miR-582-3p among the groups was detected using RT-qPCR. Correlations between top-changed intestinal microbiota and miR-582-3p expression were analyzed using the Pearson correlation coefficient. Target gene identification was performed by prediction and dual-luciferase reporter assay. The effect of miR-582-3p on the cell function of TGF-β1-induced HSCs was assessed in vitro. miR-582-3p was the common differentially expressed miRNA between GSE69670 and GSE14435. miR-582-3p was upregulated in NASH patients' plasma, as well as in TGF-β1-induced LX-2 cells. The non-steatosis and NASH groups showed significantly different intestinal microbiota distribution. miR-582-3p was positively correlated with specific microbiota populations. TMBIM1 was a target gene for miR-582-3p. Knockdown of miR-582-3p suppressed HSC proliferation and myofibroblast markers' expression but induced cell apoptosis, via TMBIM1. This present study suggests that miR-582-3p promotes the progression of NASH. Knockdown of miR-582-3p may alleviate NASH by altering the gut microbiota composition and moderating TMBIM1.