MORC protein family-related signature within human disease and cancer.
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ABSTRACT:
SUBMITTER: Wang H
PROVIDER: S-EPMC8627505 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:Microrchidia (MORC) proteins have been described as epigenetic regulators and plant immune mediators in Arabidopsis. Typically, plant and animal MORC proteins contain a hallmark GHKL-type (Gyrase, Hsp90, Histidine kinase, MutL) ATPase domain in their N-terminus. Here, 356 and 83 MORC orthologues were identified in 60 plant and 27 animal genomes. Large-scale MORC sequence analyses revealed the presence of a highly conserved motif composition that defined as the MORC domain. The MORC domain was present in both plants and animals, indicating that it originated in the common ancestor before the divergence of plants and animals. Phylogenetic analyses showed that MORC genes in both plant and animal lineages were clearly classified into two major groups, named Plants-Group I, Plants-Group II and Animals-Group I, Animals-Group II, respectively. Further analyses of MORC genes in green plants uncovered that Group I can be subdivided into Group I-1 and Group I-2. Group I-1 only contains seed plant genes, suggesting that Group I-1 and I-2 divergence occurred at least before the emergence of spermatophytes. Group I-2 and Group II have undergone several gene duplications, resulting in the expansion of MORC gene family in angiosperms. Additionally, MORC gene expression analyses in Arabidopsis, soybean, and rice revealed a higher expression level in reproductive tissues compared with other organs, and showed divergent expression patterns for several paralogous gene pairs. Our studies offered new insights into the origins, phylogenetic relationships, and expressional patterns of MORC family members in green plants, which would help to further reveal their functions as plant epigenetic regulators.
| S-EPMC6048995 | biostudies-literature
Project description:Transposable elements (TEs) and DNA repeats are commonly targeted by DNA and histone methylation to achieve epigenetic gene silencing. We isolated mutations in two Arabidopsis genes, AtMORC1 and AtMORC6, which cause derepression of DNA-methylated genes and TEs but no losses of DNA or histone methylation. AtMORC1 and AtMORC6 are members of the conserved Microrchidia (MORC) adenosine triphosphatase (ATPase) family, which are predicted to catalyze alterations in chromosome superstructure. The atmorc1 and atmorc6 mutants show decondensation of pericentromeric heterochromatin, increased interaction of pericentromeric regions with the rest of the genome, and transcriptional defects that are largely restricted to loci residing in pericentromeric regions. Knockdown of the single MORC homolog in Caenorhabditis elegans also impairs transgene silencing. We propose that the MORC ATPases are conserved regulators of gene silencing in eukaryotes.
| S-EPMC3376212 | biostudies-literature
Project description:Transposable elements (TEs) and DNA repeats are commonly targeted by DNA and histone methylation to achieve epigenetic gene silencing. We isolated mutations in two Arabidopsis genes, CRT1 and CRH6, which cause de-repression of DNA-methylated genes and TEs, but no losses of DNA or histone methylation. CRT1 and CRH6 are members of the conserved Microrchidia (MORC) ATPase family, predicted to catalyze alterations in chromosome superstructure. The crt1 and crh6 mutants show decondensation of pericentromeric heterochromatin, increased interaction of pericentromeric regions with the rest of the genome, and transcriptional defects that are largely restricted to loci residing in pericentromeric regions. Knockdown of the single MORC homolog in Caenorhabditis elegans also impairs transgene silencing. We propose that the MORC ATPases are conserved regulators of gene silencing in eukaryotes. For Col wild type control and each of two T-DNA mutants, a single sample each of small RNA (sRNA), mRNA-Seq, 5'-methylcytosine DNA methylation (BS-Seq), ChIP H3K9me2 histone methylation, and ChIP H3 histone control. For each of two EMS mutants, and as controls, their respective backgrounds, two batches of single mRNA samples, with the first batch also having a single mRNA sample for a double EMS mutant.
2012-05-02 | E-GEOD-37644 | biostudies-arrayexpress
Project description:Transposable elements (TEs) and DNA repeats are commonly targeted by DNA and histone methylation to achieve epigenetic gene silencing. We isolated mutations in two Arabidopsis genes, CRT1 and CRH6, which cause de-repression of DNA-methylated genes and TEs, but no losses of DNA or histone methylation. CRT1 and CRH6 are members of the conserved Microrchidia (MORC) ATPase family, predicted to catalyze alterations in chromosome superstructure. The crt1 and crh6 mutants show decondensation of pericentromeric heterochromatin, increased interaction of pericentromeric regions with the rest of the genome, and transcriptional defects that are largely restricted to loci residing in pericentromeric regions. Knockdown of the single MORC homolog in Caenorhabditis elegans also impairs transgene silencing. We propose that the MORC ATPases are conserved regulators of gene silencing in eukaryotes.
2012-05-03 | GSE37644 | GEO
Project description:Colorectal cancer (CRC) is one of the malignant tumors with the highest morbidity and mortality and poor prognosis. The mammalian gene family of Cab45/reticulocalbin/ERC-45/calumenin (CREC) consists of RCN1, RCN2, RCN3, SDF4 and CALU. Although CREC family members have been associated with CRC, the expression pattern, prognostic value, and the role of CREC family in CRC remain unclear. In this study, the expression, survival and biological functions of CREC family in CRC were determined via bioinformatic datasets analysis and experimental verification on clinical CRC specimen. Bioinformatic analysis showed that the expression levels of most CREC family genes were higher in CRC tissues than in normal colorectal tissues. The qPCR and western blot results also revealed that the transcriptional and protein levels of CREC family were elevated in CRC tissues compared with adjacent tissues. Besides, CREC family was significantly correlated with advanced tumor stage and poor prognosis of CRC patients. The expression levels of CREC family had correlations with genomic mutation and methylation, and with the infiltration levels of CD4 + T cells, macrophages, neutrophils, and dendritic cells in the microenvironment of CRC. Functional networks enrichment analysis indicated that the genes of CREC family were essential factors for CRC metastasis. Collectively, these findings suggest that CREC family might be potential targets for the treatment of CRC and candidate prognostic markers for CRC patients.
| S-EPMC10506189 | biostudies-literature
Project description:BackgroundProstate cancer (PCa) remains a major prevalent cancer worldwide and has a poor prognosis. The sex-determining region Y (SRY)-related high-mobility group (HMG) box (SOX) family is a series of transcription factors (TFs) involved in regulating many biological processes (BPs). In tumors, however, SOX genes are frequently deregulated. Tumorigenic deregulation took place at the transcriptional, translational, and posttranslational levels. This leads them to be correlated to tumor progression and poor clinical outcomes in PCa. Nevertheless, the SOX family prognostic role in PCa still needs further investigation.MethodsA SOX family-related prognostic signature was developed by performing LASSO (Least absolute shrinkage and selection operator) Cox regression analysis. The construction of a lncRNA-miRNA-mRNA regulatory axis for PCa was performed using a ceRNA network.ResultsUpregulation was observed in the expression of SOX4/8/11/12/14, while downregulation was observed for SOX2/5/7/13/15/30 in PCa. Consensus clustering identified four clusters of PCa patients based on these differentially expressed SOX family members. The constructed SOX family-related prognostic signature, which includes five SOX family members (SOX5/8/11/12/30), performed well in predicting PCa-patient prognosis. B cells, CD4+ T cells, CD8+ T cells, neutrophils, macrophages, and dendritic cell immune infiltration levels had a significant association with PCa-patient risk scores. Based on additional analysis, a significant association was also suggested between SOX family expression and tumor mutational burden (TMB), microsatellite instability (MSI), and drug sensitivity. By constructing a ceRNA network, a lncRNA SGMS1-AS1/miR-194-5p/SOX5 regulatory axis was developed for PCa.ConclusionsHerein, a SOX family-related prognostic signature was identified and was found to perform well in predicting PCa-patient prognosis. A lncRNA SGMS1-AS1/miR-194-5p/SOX5 regulatory axis was also identified for PCa progression.
| S-EPMC10493808 | biostudies-literature
Project description:The transition from non-muscle-invasive bladder cancer (NMIBC) to muscle-invasive bladder cancer (MIBC) is detrimental to bladder cancer (BLCA) patients. Here, we aimed to study the underlying mechanism of the subtype transition. Gene set variation analysis (GSVA) revealed the epithelial-mesenchymal transition (EMT) signalling pathway with the most positive correlation in this transition. Then, we built a LASSO Cox regression model of an EMT-related gene signature in BLCA. The patients with high risk scores had significantly worse overall survival (OS) and disease-free survival (DFS) than those with low risk scores. The EMT-related gene signature also performed favourably in the accuracy of prognosis and in the subtype survival analysis. Univariate and multivariate Cox regression analyses demonstrated that the EMT-related gene signature, pathological N stage and age were independent prognostic factors for predicting survival in BLCA patients. Furthermore, the predictive nomogram model was able to effectively predict the outcome of BLCA patients by appropriately stratifying the risk score. In conclusion, we developed a novel EMT-related gene signature that has tumour-promoting effects, acts as a negative independent prognostic factor and might facilitate personalized counselling and treatment in BLCA.
| S-EPMC6933372 | biostudies-literature
Project description:BackgroundGlobally, endometrial cancer is the fourth most common malignant tumor in women and the number of women being diagnosed is increasing. Tumor progression is strongly related to the cell survival-promoting functions of autophagy. We explored the relationship between endometrial cancer prognoses and the expression of autophagy genes using human autophagy databases.MethodsThe Cancer Genome Atlas was used to identify autophagy related genes (ARGs) that were differentially expressed in endometrial cancer tissue compared to healthy endometrial tissue. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes were referenced to identify important biological functions and signaling pathways related to these differentially expressed ARGs. A prognostic model for endometrial cancer was constructed using univariate and multivariate Cox, and Least Absolute Shrinkage and Selection Operator regression analysis. Endometrial cancer patients were divided into high- and low-risk groups according to risk scores. Survival and receiver operating characteristic (ROC) curves were plotted for these patients to assess the accuracy of the prognostic model. Using immunohistochemistry the protein levels of the genes associated with risk were assessed.ResultsWe determined 37 ARGs were differentially expressed between endometrial cancer and healthy tissues. These genes were enriched in the biological processes and signaling pathways related to autophagy. Four ARGs (CDKN2A, PTK6, ERBB2 and BIRC5) were selected to establish a prognostic model of endometrial cancer. Kaplan-Meier survival analysis suggested that high-risk groups have significantly shorter survival times than low-risk groups. The area under the ROC curve indicated that the prognostic model for survival prediction was relatively accurate. Immunohistochemistry suggested that among the four ARGs the protein levels of CDKN2A, PTK6, ERBB2, and BIRC5 were higher in endometrial cancer than healthy endometrial tissue.ConclusionsOur prognostic model assessing four ARGs (CDKN2A, PTK6, ERBB2, and BIRC5) suggested their potential as independent predictive biomarkers and therapeutic targets for endometrial cancer.
| S-EPMC7590615 | biostudies-literature
Project description:Introduction: Metastasis of breast cancer is the main cause of death in patients. Previous genome-wide studies have identified gene expression patterns correlated with cancer patient outcome, however these were mostly derived from whole tissue without respect to cell heterogeneity. In reality, only a small subpopulation of migratory and invasive cells inside the primary tumor is responsible for escaping and initiating dissemination and metastasis. When whole tissue is used for molecular profiling, the expression pattern of these cells is masked by the majority of the non-invasive tumor cells. Therefore, little information is available about the crucial early steps of the metastatic cascade: migration, invasion and entry of tumor cells into the systemic circulation. Method: In the past, we have developed an in vivo invasion assay which can capture specifically the highly motile tumor cells in the act of migrating inside living tumors (Wyckoff et al., 2004, Cancer Research). Here, we used this assay in orthotopic xenografts of human MDA-MB-231 breast cancer cells to selectively isolate the invasive cell subpopulation of the primary tumor. We then performed microarray analysis to compare the gene expression profile of these invading tumor cells to the average primary tumor cells. In this way, we derived a gene signature specific to breast cancer migration and invasion in vivo. Each sample of invasive (INV) and average primary tumor cells (APTC) was pooled from two tumor-bearing mice. RNA was extracted, made into cDNA, then amplified with the Clontech SMART amplification kit. Human reference RNA (Clontech) was amplified with identifical protocol. Each sample was then hybridized in a 28K Human cDNA microarray chip, custom printed from Albert Einstein College of Medicine (http://microarray1k.aecom.yu.edu/). Four replicates were used per group (Invasive vs. Average Primary Tumor).
| S-ECPF-GEOD-37733 | biostudies-other
Project description:BackgroundSystemic factors can strongly affect how tumour cells behave, grow, and communicate with other cells in breast cancer. Lipid metabolic reprogramming is a systemic process that tumour cells undergo; however, the formation and dynamics of lipids associated with the tumour immune microenvironment (TIME) remain unclear. The investigation of the sophisticated bidirectional crosstalk of tumour cells with cancer metabolism, gene expression, and TIME could have the potential to identify novel biomarkers for diagnosis, prognosis, and immunotherapy. This study aimed to construct a prognostic signature to detect the bicrosstalk between the lipid metabolic system and the TIME of breast cancer.MethodsTo detect the expression of LRGs and execute GO/KEGG analysis, the R program was chosen. Considering the clinical information and pathological features, a prognostic gene signature was constructed by LASSO Cox regression analysis. TMB, MSI, and immune infiltration analyses were performed, and consensus cluster analysis of LRGs was also performed.ResultsThese 16 lipid metabolism-related genes (LRGs) were mainly involved in the process of lipid metabolism and fatty acid binding in breast cancer. Prognosis analysis identified the prognostic value of FABP7(Fatty acid binding protein 7) and NDUFAB1(NADH:ubiquinone oxidoreductase subunit AB1) in breast cancer patients. The prognostic gene signature constructed with FABP7 and NDUFAB1 was significantly related to immune cell infiltration and could predict the overall survival rate with above average correctness of breast cancer patients. FABP7 and NDUFAB1 were proven to have relevance in immune cell infiltration and tumour mutation burden (TMB). Consensus cluster analysis identified that the upregulated mRNAs were mostly related to the oncogenesis process, while the downregulated mRNAs were associated with immune-related signalling pathways.ConclusionA comprehensive analysis was performed to evaluate the lipid metabolic system and identified a signature constructed by two prognostic genes for immunotherapies in breast cancer. The results also revealed evidence of vulnerabilities in the interplay between the lipid metabolic system and the TIME in breast cancer. Further data with clinical studies and experiments are warranted.
| S-EPMC9103058 | biostudies-literature