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Regulation of mRNA translation is essential for cellular homeostasis, and its dysregulation contributes to cancer, neurodegeneration, and developmental disorders. Stress granules are cytosolic condensates that form during stress-induced translation arrest and are enriched in mRNAs, translation factors, and RNA-binding proteins, but how stress granule proteins modulate translation remains poorly understood. Here, we identify the stress granule components Proline-Rich Coiled-Coil A, B, and C (PRRC2 proteins) as translation regulators. PRRC2 proteins are large, intrinsically disordered paralogs conserved across jawed vertebrates. Functional proteomics revealed that all PRRC2 proteins associate with the 48S translation initiation complex (PIC), whereas PRRC2B additionally interacts with nuclear proteins. Under stress, the proximal interaction network of PRRC2 proteins undergoes dynamic remodeling, including increased interactions with the stress granule scaffold G3BP1. Genetic perturbation shows that the PRRC2 proteins influence stress granule assembly in a context-specific manner, and are collectively required for cell growth in basal conditions due to their essential role in translation. Cells with reduced PRRC2 proteins exhibit a significant reduction in the abundance of more than half of the proteome, with a bias toward translational targets of eIF3d and eIF4G2. Interaction domain mapping and AlphaFold3 modeling revealed that an α helix within the putative coiled-coil domain of PRRC2C mediates interactions with the eIF3 core complex. This modeling places the PRRC2C α helix in a previously unassigned region of a published cryo-EM density map, validating the protein interaction and the mechanistic role of PRRC2C in translation control. Together, these findings establish PRRC2 proteins as components of the translation initiation machinery that regulate translation through their interactions with the eIF3 complex and other components of the 48S PIC factors, providing a direct mechanistic link between stress granule proteins and translational control. Show less

Typically expressed on T-cells and NK cells, FASLG induces apoptosis in target cells upon binding Fas. However, assessing potential FASLG expression in tumor cells with convenient genomics approaches has been challenging. This study applied a novel assessment of FASLG copy numbers (CNs) and gene expression levels, applicable to bulk exome and RNAseq files. Analyses indicated high FASLG CN associated with worse survival outcomes. Interestingly, higher FASLG gene expression was found to be associated with better survival outcomes, which led to a determination of whether this result was due to FASLG expression from tumor-infiltrating lymphocytes (TILs) instead of cancer cells demonstrating the higher CNs. In fact, T-cell markers CD4 and CD8A highly correlated with FASLG expression, consistent with the hypothesis that the high FASLG expression was associated with the TILs. Subsequent analyses confirmed that CN increases led to increased gene expression in the genomic region of the FASLG gene, particularly with an assessment of the expression of the neighboring PRRC2C gene. In sum, FASLG CN assessments, even independently of a corresponding gene expression correlation, may provide important characterizations of tumor cells. This study indicates that FASLG CN increases could represent a mechanism of tumor escape from TILs and a prognostic indicator; and tumor FASLG may be a suitable drug target for reducing tumor evasion of T-cells. Show less

Prostate cancer is the second leading cause of cancer-related deaths in men. Periodontitis is considered a high-risk factor for prostate cancer, but the genetic mechanism is unclear. This study aims to identify dysregulated miRNAs, their associated genes, signaling pathways, and compounds linking periodontitis to prostate cancer. The miRNA expression datasets of prostate cancer and periodontitis were obtained from the GEO database. Differentially expressed miRNAs (DEmiRNAs) were identified, and common DEmiRNAs (Co-DEmiRNAs) between both datasets were determined. The Co-DEmiRNA-target network structure and functional analyses, including miRNet 2.0, were performed, encompassing Co-DEmiRNA-gene, Co-DEmiRNA-transcription factor (TF), and Co-DEmiRNA-compound networks. Functional enrichment analysis for Co-DEmiRNA genes and Co-DEmiRNA-TF networks was conducted using KEGG, Reactome pathways, and Gene Ontology (GO). Co-up and co-down DEmiRNAs were validated with TCGA miRNA-seq data. hsa-mir-148a-3p, hsa-mir-148b-5p, and hsa-mir-623 are the top miRNA nodes in Co-DEmiRNA-Target networks. The most significant candidate miRNA dysregulation genes are POU2F1, TMOD3, SCD, PRRC2C, and MAT2A, while the most important dysregulation TF includes TP53, CREB1, DNMT1, E2F1, and EGR1. Arsenic trioxide, gemcitabine, and 1,2,6-tri-O-galloyl-beta-D-glucopyranose are the most correlated compounds. Functional analyses revealed multiple cell signaling pathways, such as NOTCH and CREB phosphorylation, and regulation of processes, such as RNA metabolism and transcription. Our study suggests candidate molecular mechanisms linking periodontitis to prostate cancer, highlighting potential compounds targeting both diseases. These findings provide a foundation for guiding future basic and clinical research. Show less

Competitive endogenous RNAs (ceRNA) theory has been proved in numerous biological processes. Nevertheless, there is a lack of research applying the ceRNA theory to the study of vascular calcification (VC) in chronic kidney diseases (CKD). In the present study, a ceRNA network was constructed after conducting transcriptome sequencing of differentially expressed genes, followed by experimental validation to identify a new target for the diagnosis and treatment of vascular calcification. Total RNA was extracted from β-glycerophosphate (β-GP) cultured vascular smooth muscle cells (VSMCs) on Day 7. Illumina HiSeq platform was utilized to build sequencing libraries. GO and KEGG analysis was conducted to identify the function of the differentially expressed genes. Protein-protein interaction (PPI) network was constructed using the Search Tool for the Retrieval of Interacting Genes/Proteins (STRING) database. A ceRNA network was established based on TargetScan, miRDB, miRWALK, and miRanda database. Western blot and qRT-PCR were used to explore the expression level of protein and RNA, respectively. The direct binding sites were confirmed by dual-luciferase reporter assay. In total, 647 differentially expressed lncRNAs and 289 differentially expressed mRNAs were identified (|log Show less

To evaluate the long-term safety and efficacy of atezolizumab monotherapy in Chinese patients with previously treated, locally advanced or metastatic non-small cell lung cancer (NSCLC). In this open-label, single-arm, multicenter study, patients received atezolizumab 1200 mg intravenously on Day 1 of each 21-day cycle. The primary endpoint was incidence of atezolizumab-related serious adverse events (SAEs). Secondary endpoints included other safety and efficacy measures. Patients with available tumor tissue and blood samples underwent biomarker analyses. Patients with available tumor biopsies underwent exome sequencing. The safety and evaluable populations included 101 and 97 patients, respectively. Exome sequencing data were available for 31 patients. Median follow-up time was 27.43 months. Atezolizumab-related SAEs and immune-related adverse events occurred in 25.7% and 47.5% of the safety population, respectively, and in the following subgroups: central nervous system metastases (n = 14), 35.7% and 35.7%; squamous NSCLC (n = 39), 33.3% and 53.8%. The 24-month overall survival rate was 37.4%. Median overall survival and progression-free survival by RECIST v1.1 were 15.31 and 2.86 months, respectively; objective response rate was 16.5% in the evaluable population. PRRC2C (odds ratio: 12.780, P = 0.014) and ZMYND8 (odds ratio: 19.963, P = 0.016) gene mutations were significantly enriched in atezolizumab responders vs non-responders. Patients with CD8 No new safety concerns were raised, and clinically meaningful benefits of atezolizumab monotherapy were shown. The results of the biomarker analyses may guide future therapeutic strategies. Show less

Prediction of post-stroke depressive symptoms (DSs) is challenging in patients without a history of depression. Gene expression profiling in blood cells may facilitate the search for biomarkers. The use of an ex vivo stimulus to the blood helps to reveal differences in gene profiles by reducing variation in gene expression. We conducted a proof-of-concept study to determine the usefulness of gene expression profiling in lipopolysaccharide (LPS)-stimulated blood for predicting post-stroke DS. Out of 262 enrolled patients with ischemic stroke, we included 96 patients without a pre-stroke history of depression and not taking any anti-depressive medication before or during the first 3 months after stroke. We assessed DS at 3 months after stroke using the Patient Health Questionnaire-9. We used RNA sequencing to determine the gene expression profile in LPS-stimulated blood samples taken on day 3 after stroke. We constructed a risk prediction model using a principal component analysis combined with logistic regression. We diagnosed post-stroke DS in 17.7% of patients. Expression of 510 genes differed between patients with and without DS. A model containing 6 genes (PKM, PRRC2C, NUP188, CHMP3, H2AC8, NOP10) displayed very good discriminatory properties (area under the curve: 0.95) with the sensitivity of 0.94 and specificity of 0.85. Our results suggest the potential utility of gene expression profiling in whole blood stimulated with LPS for predicting post-stroke DS. This method could be useful for searching biomarkers of post-stroke depression. Show less

Cholesteatoma is a rare progressive disease of the middle ear. Most cases are sporadic, but some patients report a positive family history. Identifying functionally important gene variants associated with this disease has the potential to uncover the molecular basis of cholesteatoma pathology with implications for disease prevention, surveillance, or management. We performed an observational WES study of 21 individuals treated for cholesteatoma who were recruited from ten multiply affected families. These family studies were complemented with gene-level mutational burden analysis. We also applied functional enrichment analyses to identify shared properties and pathways for candidate genes and their products. Filtered data collected from pairs and trios of participants within the ten families revealed 398 rare, loss of function (LOF) variants co-segregating with cholesteatoma in 389 genes. We identified six genes DENND2C, DNAH7, NBEAL1, NEB, PRRC2C, and SHC2, for which we found LOF variants in two or more families. The parallel gene-level analysis of mutation burden identified a significant mutation burden for the genes in the DNAH gene family, which encode products involved in ciliary structure. Functional enrichment analyses identified common pathways for the candidate genes which included GTPase regulator activity, calcium ion binding, and degradation of the extracellular matrix. The number of candidate genes identified and the locus heterogeneity that we describe within and between multiply affected families suggest that the genetic architecture for familial cholesteatoma is complex. Show less

Proline-rich coiled-coil 2C ( The Cancer Genome Atlas (TCGA) RNA-sequencing datasets of 371 cases of primary liver cancer and 50 normal liver tissue specimens were obtained to analyze correlation between Analysis of TCGA data sets revealed that patients with high Show less

Roughly half of animal mRNAs contain upstream open reading frames (uORFs). These uORFs can represent an impediment to translation of the main ORF since ribosomes usually bind the mRNA cap at the 5' end and then scan for ORFs in a 5'-to-3' fashion. One way for ribosomes to bypass uORFs is via leaky scanning, whereby the ribosome disregards the uORF start codon. Hence leaky scanning is an important instance of post-transcriptional regulation that affects gene expression. Few molecular factors regulating or facilitating this process are known. Here we show that the PRRC2 proteins PRRC2A, PRRC2B and PRRC2C impact translation initiation. We find that they bind eukaryotic translation initiation factors and preinitiation complexes, and are enriched on ribosomes translating mRNAs with uORFs. We find that PRRC2 proteins promote leaky scanning past translation start codons, thereby promoting translation of mRNAs containing uORFs. Since PRRC2 proteins have been associated with cancer, this provides a mechanistic starting point for understanding their physiological and pathophysiological roles. Show less

The gene for receptor tyrosine kinase ErbB2 is amplified in breast and ovarian tumours. The linear pathway by which signals are transduced through ErbB2 are well known. However, second generation questions that address spatial aspects of signaling remain. To address this, we have undertaken a mass spectrometry approach to identify phosphoproteins specific for ErbB2 using the inhibitors Lapatinib and CP724714 in ovarian cancer cells. The ErbB2 specific proteins identified in SKOV-3 cells were Myristoylated alanine-rich C-kinase substrate, Protein capicua homolog, Protein peptidyl isomerase G, Protein PRRC2C, Chromobox homolog1 and PRP4 homolog. We have evaluated three phosphoproteins PKM2, Aldose reductase and MARCKS in SKOV-3 cells. We observed that PKM2 was phosphorylated by EGF but was not inhibited by Lapatinib and CP724714. The activity of aldose reductase in reducing NADPH as a substrate was significantly higher in EGF stimulated cells which was inhibited by Lapatinib and CP724714 but not by Geftinib (EGFR inhibitor). MARCKS was phosphorylated on stimulation of SKOV-3 cells with EGF that was inhibited by Lapatinib and CP724714 which was dependent on the kinase activity of ErbB2. These results have identified phosphoproteins that are specific to ErbB2 which have not been previously reported and sets the basis for future experiments. Show less

Preeclampsia (PE) is a leading cause of pregnancy-associated maternal and neonatal morbidity and mortality. Detection of patients at risk before the clinical onset of PE is a priority. Proteomics have become a valuable tool for the discovery of new biomarkers; however, the understanding of the underlying mechanism is necessary. The aim of the study was to determine differences between proteomic serum profiles of PE and normotensive pregnancies using quantitative and qualitative approaches. Serum samples from pregnant women were taken at 10-12 weeks of gestation with follow-up to determine PE development. Samples were analyzed using nano 2-D liquid chromatography UPLC and qTOF-MS/MS. A total of 136 women were recruited, of which eight (5.9%) developed PE, and eight normotensive were randomly selected as a control group for comparison. A different profile was obtained between groups. Nine proteins showed quantitative differences with fold-change over 1.5: PRRC2C (217.02), HEATR5A (179.46), ATP6 (162.38), PRRC2B (83.09), RBM25 (5.36), NUP205 (3.38), HLA-I (2.27), ZC3H13 (2.15), and SREK1 (1.66); and two under 0.66: Importin-4 (0.55) and Cytochrome b (0.26). Using bilateral Fisher's exact test for the qualitative approach, LRRK1 had statistical significance ( The found proteins have plausibility with the early pathophysiological events that have been associated with this pathology. Further studies should be performed to confirm these findings and elucidate their specific roles. Show less

mRNA processing, transport, translation, and ultimately degradation involve a series of dedicated protein complexes that often assemble into large membraneless structures such as stress granules (SGs) and processing bodies (PBs). Here, systematic in vivo proximity-dependent biotinylation (BioID) analysis of 119 human proteins associated with different aspects of mRNA biology uncovers 7424 unique proximity interactions with 1,792 proteins. Classical bait-prey analysis reveals connections of hundreds of proteins to distinct mRNA-associated processes or complexes, including the splicing and transcriptional elongation machineries (protein phosphatase 4) and the CCR4-NOT deadenylase complex (CEP85, RNF219, and KIAA0355). Analysis of correlated patterns between endogenous preys uncovers the spatial organization of RNA regulatory structures and enables the definition of 144 core components of SGs and PBs. We report preexisting contacts between most core SG proteins under normal growth conditions and demonstrate that several core SG proteins (UBAP2L, CSDE1, and PRRC2C) are critical for the formation of microscopically visible SGs. Show less

The chronic inflammatory nature of chronic rhinosinusitis (CRS) makes it a morbid condition for individuals with the disease and one whose pathogenesis is poorly understood. To date, proteomic approaches have been applied successfully in a handful of CRS studies. In this study we use a multifaceted approach, including proteomics (iTRAQ labeling) and microbiome (bacterial 16S rRNA gene sequencing) analyses of middle meatus swabs, as well as immune cell analysis of the underlying tissue, to investigate the host-microbe interaction in individuals with CRS ( Show less

Endemic Burkitt lymphoma (eBL) is the most common pediatric cancer in malaria-endemic equatorial Africa and nearly always contains Epstein-Barr virus (EBV), unlike sporadic Burkitt lymphoma (sBL) that occurs with a lower incidence in developed countries. Given these differences and the variable clinical presentation and outcomes, we sought to further understand pathogenesis by investigating transcriptomes using RNA sequencing (RNAseq) from multiple primary eBL tumors compared with sBL tumors. Within eBL tumors, minimal expression differences were found based on: anatomical presentation site, in-hospital survival rates, and EBV genome type, suggesting that eBL tumors are homogeneous without marked subtypes. The outstanding difference detected using surrogate variable analysis was the significantly decreased expression of key genes in the immunoproteasome complex ( Genomic and mutational analyses of Burkitt lymphoma tumors identify key differences based on viral content and clinical outcomes suggesting new avenues for the development of prognostic molecular biomarkers and therapeutic interventions. Show less

Abnormal alternative splicing has been associated with cancer. Genome-wide microarrays can be used to detect differential splicing events. In this study, we have developed ExonPointer, an algorithm that uses data from exon and junction probes to identify annotated cassette exons. We used the algorithm to profile differential splicing events in lung adenocarcinoma A549 cells after downregulation of the oncogenic serine/arginine-rich splicing factor 1 (SRSF1). Data were generated using two different microarray platforms. The PCR-based validation rate of the top 20 ranked genes was 60% and 100%. Functional enrichment analyses found a substantial number of splicing events in genes related to RNA metabolism. These analyses also identified genes associated with cancer and developmental and hereditary disorders, as well as biologic processes such as cell division, apoptosis, and proliferation. Most of the top 20 ranked genes were validated in other adenocarcinoma and squamous cell lung cancer cells, with validation rates of 80% to 95% and 70% to 75%, respectively. Moreover, the analysis allowed us to identify four genes, ATP11C, IQCB1, TUBD1, and proline-rich coiled-coil 2C (PRRC2C), with a significantly different pattern of alternative splicing in primary non-small cell lung tumors compared with normal lung tissue. In the case of PRRC2C, SRSF1 downregulation led to the skipping of an exon overexpressed in primary lung tumors. Specific siRNA downregulation of the exon-containing variant significantly reduced cell growth. In conclusion, using a novel analytical tool, we have identified new splicing events regulated by the oncogenic splicing factor SRSF1 in lung cancer. Show less