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1.
Medicine (Baltimore) ; 98(38): e17225, 2019 Sep.
Artigo em Inglês | MEDLINE | ID: mdl-31567982

RESUMO

The present study is to analyze the difference of gene methylation in early cervical adenocarcinoma and to find molecular markers for predicting the occurrence and development of cervical adenocarcinoma.A total of 15 cases of primary cervical adenocarcinoma and 10 cases of primary cervical squamous cell carcinoma at stages IB1 or IIA1 were included in the study. Infinium MethylationEPIC BeadChip (850K) was used to screen specifically expressed genes in cervical adenocarcinoma tissues. Bisulfite sequencing polymerase chain reaction (BSP) and quantitative real-time polymerase chain reaction (qRT-PCR) were used to verify the methylation levels in cervical adenocarcinoma, cervical squamous cell carcinoma, and normal cervical tissues.Sex determining region Y-box 1 (SOX1) and cyclin D1 (CCND1) genes participated in multiple signaling pathways, being the central nodes of gene regulatory networks. SOX1 gene, but not CCND1 gene, was a specifically methylated gene in cervical adenocarcinoma according to BSP. According to qRT-PCR, methylation level of SOX1 in cervical adenocarcinoma tissues is significantly different from that in cervical squamous cell carcinoma tissues or normal cervical tissues, and the methylation level of CCND1 in cervical adenocarcinoma tissues or cervical squamous cell carcinoma tissues is significantly different from that in normal cervical tissues.The present study demonstrates that tumor-suppressor gene SOX1 is a methylation-specific expression gene of cervical adenocarcinoma and is expected to become a specific molecular marker for the diagnosis of cervical adenocarcinoma. However, CCND1 gene was not proven to be a specific methylation expression gene in cervical adenocarcinoma in the present study.


Assuntos
Adenocarcinoma/genética , Metilação de DNA/genética , Fatores de Transcrição SOXB1/genética , Neoplasias do Colo do Útero/genética , Adenocarcinoma/metabolismo , Carcinoma de Células Escamosas/genética , Carcinoma de Células Escamosas/metabolismo , Colo do Útero/metabolismo , Ciclina D1/genética , Feminino , Regulação Neoplásica da Expressão Gênica , Redes Reguladoras de Genes/genética , Marcadores Genéticos/genética , Humanos , Reação em Cadeia da Polimerase em Tempo Real , Neoplasias do Colo do Útero/metabolismo
2.
Medicine (Baltimore) ; 98(34): e16922, 2019 Aug.
Artigo em Inglês | MEDLINE | ID: mdl-31441876

RESUMO

BACKGROUND: Circular RNAs (circRNAs) have displayed dysregulated expression in several types of cancer. Nevertheless, their function and underlying mechanisms in cervical cancer remains largely unknown. This study aimed to describe the regulatory mechanisms in cervical cancer. METHODS: We downloaded the circRNAs expression profiles from Gene Expression Omnibus database, and RNAs expression profiles from The Cancer Genome Atlas database. We established a circRNA-miRNA-mRNA and circRNA-miRNA-hubgene network. The interactions between proteins were analyzed using the STRING database and hubgenes were identified using MCODE plugin. Then, we conducted a circRNA-miRNA-hubgenes regulatory module. Functional and pathway enrichment analyses were conducted using R packages "Clusterprofile". RESULTS: Six circRNAs, 15 miRNAs, and 158 mRNAs were identified to construct the ceRNA network of cervical cancer. PPI (protein-protein interaction) network and module analysis identified 7 hubgenes. Then, a circRNA-miRNA-hubgene subnetwork was constructed based on the 1 DEcircRNAs, 3 DEmiRNAs, and 3 DEmRNAs. The KEGG pathway analysis indicated DEmRNAs are involved in progesterone-mediated oocyte maturation, cell cycle, and oocyte meiosis. CONCLUSION: These ceRNAs are critical in the pathogenesis of cervical and may serve as future therapeutic biomarkers.


Assuntos
Regulação Neoplásica da Expressão Gênica/genética , Redes Reguladoras de Genes/genética , RNA/genética , Neoplasias do Colo do Útero/genética , Biomarcadores Tumorais/genética , Feminino , Humanos , Mapas de Interação de Proteínas , RNA/metabolismo
3.
Plant Mol Biol ; 101(1-2): 113-127, 2019 Sep.
Artigo em Inglês | MEDLINE | ID: mdl-31300998

RESUMO

Transcriptional regulation is an essential molecular machinery in controlling gene expression in diverse plant developmental processes including fruit ripening. This involves the interaction of transcription factors (TFs) and promoters of target genes. In banana, although a number of fruit ripening-associated TFs have been characterized, their number is relatively small. Here we identified a nuclear-localized basic leucine zipper (bZIP) TF, MabZIP93, associated with banana ripening. MabZIP93 activated cell wall modifying genes MaPL2, MaPE1, MaXTH23 and MaXGT1 by directly binding to their promoters. Transient over-expression of MabZIP93 in banana fruit resulted in the increased expression of MaPL2, MaPE1, MaXTH23 and MaXGT1. Moreover, a mitogen-activated protein kinase MaMPK2 and MabZIP93 were found to interact with MabZIP93. The interaction of MabZIP93 with MaMPK2 enhanced MabZIP93 activation of cell wall modifying genes, which was likely due to the phosphorylation of MabZIP93 mediated by MaMPK2. Overall, this study shows that MaMPK2 interacts with and phosphorylates MabZIP93 to promote MabZIP93-mediated transcriptional activation of cell wall modifying genes, thereby expanding our understanding of gene networks associated with banana fruit ripening.


Assuntos
Regulação da Expressão Gênica de Plantas , Redes Reguladoras de Genes/genética , Musa/genética , Proteínas de Plantas/metabolismo , Ativação Transcricional , Fatores de Transcrição de Zíper de Leucina Básica/genética , Fatores de Transcrição de Zíper de Leucina Básica/metabolismo , Núcleo Celular/metabolismo , Parede Celular/metabolismo , Frutas/genética , Musa/fisiologia , Fosforilação , Proteínas de Plantas/genética , Regiões Promotoras Genéticas/genética
4.
J Cancer Res Clin Oncol ; 145(9): 2383-2396, 2019 Sep.
Artigo em Inglês | MEDLINE | ID: mdl-31280346

RESUMO

PURPOSE: Breast cancer is one of the most common malignancies among females, and its prognosis is affected by a complex network of gene interactions. Weighted gene co-expression network analysis was used to construct free-scale gene co-expression networks and to identify potential biomarkers for breast cancer progression. METHODS: The gene expression profiles of GSE42568 were downloaded from the Gene Expression Omnibus database. RNA-sequencing data and clinical information of breast cancer from TCGA were used for validation. RESULTS: A total of ten modules were established by the average linkage hierarchical clustering. We identified 58 network hub genes in the significant module (R2 = 0.44) and 6 hub genes (AGO2, CDC20, CDCA5, MCM10, MYBL2, and TTK), which were significantly correlated with prognosis. Receiver-operating characteristic curve validated that the mRNA levels of these six genes exhibited excellent diagnostic efficiency in the test data set of GSE42568. RNA-sequencing data from TCGA showed that the expression levels of these six genes were higher in triple-negative tumors. One-way ANOVA suggested that these six genes were upregulated at more advanced stages. The results of independent sample t test indicated that MCM10 and TTK were associated with tumor size, and that AGO2, CDC20, CDCA5, MCM10, and MYBL2 were overexpressed in lymph-node positive breast cancer. CONCLUSIONS: AGO2, CDC20, CDCA5, MCM10, MYBL2, and TTK were identified as candidate biomarkers for further basic and clinical research on breast cancer based on co-expression analysis.


Assuntos
Biomarcadores Tumorais/genética , Neoplasias da Mama/diagnóstico , Neoplasias da Mama/genética , Redes Reguladoras de Genes , Transcriptoma , Biomarcadores Tumorais/análise , Neoplasias da Mama/mortalidade , Neoplasias da Mama/patologia , Análise por Conglomerados , Progressão da Doença , Feminino , Perfilação da Expressão Gênica , Regulação Neoplásica da Expressão Gênica , Redes Reguladoras de Genes/genética , Ensaios de Triagem em Larga Escala , Humanos , Análise em Microsséries , Prognóstico
5.
Nat Commun ; 10(1): 2766, 2019 06 24.
Artigo em Inglês | MEDLINE | ID: mdl-31235692

RESUMO

A major challenge in biology is that genetically identical cells in the same environment can display gene expression stochasticity (noise), which contributes to bet-hedging, drug tolerance, and cell-fate switching. The magnitude and timescales of stochastic fluctuations can depend on the gene regulatory network. Currently, it is unclear how gene expression noise of specific networks impacts the evolution of drug resistance in mammalian cells. Answering this question requires adjusting network noise independently from mean expression. Here, we develop positive and negative feedback-based synthetic gene circuits to decouple noise from the mean for Puromycin resistance gene expression in Chinese Hamster Ovary cells. In low Puromycin concentrations, the high-noise, positive-feedback network delays long-term adaptation, whereas it facilitates adaptation under high Puromycin concentration. Accordingly, the low-noise, negative-feedback circuit can maintain resistance by acquiring mutations while the positive-feedback circuit remains mutation-free and regains drug sensitivity. These findings may have profound implications for chemotherapeutic inefficiency and cancer relapse.


Assuntos
Antimetabólitos Antineoplásicos/farmacologia , Resistencia a Medicamentos Antineoplásicos/genética , Regulação da Expressão Gênica/efeitos dos fármacos , Redes Reguladoras de Genes/genética , Modelos Genéticos , Animais , Antimetabólitos Antineoplásicos/uso terapêutico , Células CHO , Simulação por Computador , Cricetulus , Relação Dose-Resposta a Droga , Resistencia a Medicamentos Antineoplásicos/efeitos dos fármacos , Retroalimentação Fisiológica , Regulação da Expressão Gênica/genética , Neoplasias/tratamento farmacológico , Neoplasias/patologia , Puromicina/farmacologia , Puromicina/uso terapêutico , Processos Estocásticos
6.
Nat Commun ; 10(1): 2760, 2019 06 24.
Artigo em Inglês | MEDLINE | ID: mdl-31235787

RESUMO

Heart failure is a leading cause of mortality, yet our understanding of the genetic interactions underlying this disease remains incomplete. Here, we harvest 1352 healthy and failing human hearts directly from transplant center operating rooms, and obtain genome-wide genotyping and gene expression measurements for a subset of 313. We build failing and non-failing cardiac regulatory gene networks, revealing important regulators and cardiac expression quantitative trait loci (eQTLs). PPP1R3A emerges as a regulator whose network connectivity changes significantly between health and disease. RNA sequencing after PPP1R3A knockdown validates network-based predictions, and highlights metabolic pathway regulation associated with increased cardiomyocyte size and perturbed respiratory metabolism. Mice lacking PPP1R3A are protected against pressure-overload heart failure. We present a global gene interaction map of the human heart failure transition, identify previously unreported cardiac eQTLs, and demonstrate the discovery potential of disease-specific networks through the description of PPP1R3A as a central regulator in heart failure.


Assuntos
Redes Reguladoras de Genes/genética , Insuficiência Cardíaca/genética , Miócitos Cardíacos/patologia , Fosfoproteínas Fosfatases/metabolismo , Animais , Benzenoacetamidas , Células Cultivadas , Conjuntos de Dados como Assunto , Modelos Animais de Doenças , Feminino , Perfilação da Expressão Gênica/métodos , Regulação da Expressão Gênica , Técnicas de Silenciamento de Genes , Estudo de Associação Genômica Ampla , Insuficiência Cardíaca/etiologia , Insuficiência Cardíaca/metabolismo , Insuficiência Cardíaca/patologia , Humanos , Masculino , Redes e Vias Metabólicas/genética , Camundongos , Camundongos Knockout , Pessoa de Meia-Idade , Fosfoproteínas Fosfatases/genética , Cultura Primária de Células , Piridinas , Locos de Características Quantitativas/genética , Ratos , Ratos Sprague-Dawley , Análise de Sequência de RNA/métodos
7.
BMC Bioinformatics ; 20(Suppl 12): 318, 2019 Jun 20.
Artigo em Inglês | MEDLINE | ID: mdl-31216986

RESUMO

BACKGROUND: Identification of motifs-recurrent and statistically significant patterns-in biological networks is the key to understand the design principles, and to infer governing mechanisms of biological systems. This, however, is a computationally challenging task. This task is further complicated as biological interactions depend on limited resources, i.e., a reaction takes place if the reactant molecule concentrations are above a certain threshold level. This biochemical property implies that network edges can participate in a limited number of motifs simultaneously. Existing motif counting methods ignore this problem. This simplification often leads to inaccurate motif counts (over- or under-estimates), and thus, wrong biological interpretations. RESULTS: In this paper, we develop a novel motif counting algorithm, Partially Overlapping MOtif Counting (POMOC), that considers capacity levels for all interactions in counting motifs. CONCLUSIONS: Our experiments on real and synthetic networks demonstrate that motif count using the POMOC method significantly differs from the existing motif counting approaches, and our method extends to large-scale biological networks in practical time. Our results also show that our method makes it possible to characterize the impact of different stress factors on cell's organization of network. In this regard, analysis of a S. cerevisiae transcriptional regulatory network using our method shows that oxidative stress is more disruptive to organization and abundance of motifs in this network than mutations of individual genes. Our analysis also suggests that by focusing on the edges that lead to variation in motif counts, our method can be used to find important genes, and to reveal subtle topological and functional differences of the biological networks under different cell states.


Assuntos
Redes Reguladoras de Genes/genética , Saccharomyces cerevisiae/genética , Algoritmos , Bases de Dados Genéticas , Genes Fúngicos , Modelos Biológicos , Estresse Oxidativo/genética
8.
Nat Commun ; 10(1): 2632, 2019 06 14.
Artigo em Inglês | MEDLINE | ID: mdl-31201335

RESUMO

Chromatin loops connect regulatory elements to their target genes. They serve as bridges between transcriptional regulation and phenotypic variation in mammals. However, spatial organization of regulatory elements and its impact on gene expression in plants remain unclear. Here, we characterize epigenetic features of active promoter proximal regions and candidate distal regulatory elements to construct high-resolution chromatin interaction maps for maize via long-read chromatin interaction analysis by paired-end tag sequencing (ChIA-PET). The maps indicate that chromatin loops are formed between regulatory elements, and that gene pairs between promoter proximal regions tend to be co-expressed. The maps also demonstrated the topological basis of quantitative trait loci which influence gene expression and phenotype. Many promoter proximal regions are involved in chromatin loops with distal regulatory elements, which regulate important agronomic traits. Collectively, these maps provide a high-resolution view of 3D maize genome architecture, and its role in gene expression and phenotypic variation.


Assuntos
Cromatina/genética , Regulação da Expressão Gênica de Plantas , Redes Reguladoras de Genes/genética , Locos de Características Quantitativas/genética , Zea mays/genética , Cromatina/metabolismo , Imunoprecipitação da Cromatina , Mapeamento Cromossômico , Produção Agrícola , Elementos Facilitadores Genéticos/genética , Epigênese Genética , Epigenômica/métodos , Genoma de Planta/genética , Estudo de Associação Genômica Ampla , Mutação , Fenótipo , Regiões Promotoras Genéticas/genética
9.
Nat Commun ; 10(1): 2078, 2019 05 07.
Artigo em Inglês | MEDLINE | ID: mdl-31064983

RESUMO

Genetic variants affecting pancreatic islet enhancers are central to T2D risk, but the gene targets of islet enhancer activity are largely unknown. We generate a high-resolution map of islet chromatin loops using Hi-C assays in three islet samples and use loops to annotate target genes of islet enhancers defined using ATAC-seq and published ChIP-seq data. We identify candidate target genes for thousands of islet enhancers, and find that enhancer looping is correlated with islet-specific gene expression. We fine-map T2D risk variants affecting islet enhancers, and find that candidate target genes of these variants defined using chromatin looping and eQTL mapping are enriched in protein transport and secretion pathways. At IGF2BP2, a fine-mapped T2D variant reduces islet enhancer activity and IGF2BP2 expression, and conditional inactivation of IGF2BP2 in mouse islets impairs glucose-stimulated insulin secretion. Our findings provide a resource for studying islet enhancer function and identifying genes involved in T2D risk.


Assuntos
Cromatina/metabolismo , Diabetes Mellitus Tipo 2/genética , Redes Reguladoras de Genes/genética , Ilhotas Pancreáticas/metabolismo , Proteínas de Ligação a RNA/genética , Adulto , Animais , Núcleo Celular/metabolismo , Montagem e Desmontagem da Cromatina/genética , Diabetes Mellitus Tipo 2/patologia , Elementos Facilitadores Genéticos/genética , Feminino , Perfilação da Expressão Gênica , Predisposição Genética para Doença , Glucose/metabolismo , Humanos , Insulina/metabolismo , Ilhotas Pancreáticas/citologia , Masculino , Camundongos , Camundongos Endogâmicos C57BL , Camundongos Knockout , Pessoa de Meia-Idade , Conformação Molecular , Locos de Características Quantitativas/genética , Proteínas de Ligação a RNA/metabolismo
10.
Biomed Res Int ; 2019: 7149296, 2019.
Artigo em Inglês | MEDLINE | ID: mdl-31073530

RESUMO

Background: The distinction between right-sided and left-sided colon adenocarcinoma has recently received considerable. This study aims to identify key MicroRNA (miRNA) and mRNAs in right-sided colon adenocarcinoma (RSCOAD) and left-sided colon adenocarcinoma (LSCOAD) by TCGA integration analysis. Methods: The miRNA and mRNA expression profiles of a large group of patients with RSCOAD and LSCOAD were obtained from TCGA. The differentially expressed miRNAs (DEmiRNAs) and mRNAs (DEmRNAs) were identified by TCGA integration analysis. The optimal diagnostic miRNA biomarkers for RSCOAD and LSCOAD were identified by Boruta algorithm. We established classification models to distinguish RSCOAD and LSCOAD. Protein-protein interaction (PPI) network analysis, DEmiRNA-DEmRNA interaction analysis, and functional annotation were performed. The expression of selected DEmiRNAs and DEmRNAs was validated by qRT-PCR. Results: A total of 2534 DEmRNAs (940 downregulated and 1594 upregulated mRNAs) and 54 DEmiRNAs (22 downregulated and 32 upregulated miRNAs) between RSCOAD and LSCOAD were identified. The feature selection procedure was to obtain 22 optimal diagnostic miRNAs biomarkers in RSCOAD compared to LSCOAD. The AUC of the random forests model was 0.869 and the specificity and sensitivity of this model were 79% and 84.6%, respectively. Three DEmiRNAs (hsa-miR-224-5p, hsa-miR-155-5p, and hsa-miR-31-5p) and five DEmRNAs (CXCR4, SMAD4, KRAS, FITM2, and PLAGL2) were identified key DEmiRNAs and DEmRNAs in RSCOAD compared to LSCOAD. The qRT-PCR results of CXCR4, FITM2, TFAP2A, ULBP2, hsa-miR-224-5p, and hsa-miR-155-5p were consistent with our integrated analysis. Conclusion: A total of three DEmiRNAs (hsa-miR-224-5p, hsa-miR-155-5p, and hsa-miR-31-5p) and five DEmRNAs (CXCR4, SMAD4, KRAS, FITM2, and PLAGL2) may be involved in the pathogenesis of RSCOAD and LSCOAD which may make a contribution for understanding mechanisms and developing therapeutic strategies for RSCOAD and LSCOAD.


Assuntos
Adenocarcinoma/genética , Neoplasias do Colo/genética , MicroRNAs/genética , RNA Mensageiro/genética , Adenocarcinoma/patologia , Biomarcadores Tumorais/genética , Neoplasias do Colo/patologia , Biologia Computacional , Regulação Neoplásica da Expressão Gênica/genética , Redes Reguladoras de Genes/genética , Humanos , Anotação de Sequência Molecular , Proteínas de Neoplasias/genética , Mapas de Interação de Proteínas/genética , Transdução de Sinais/genética
11.
BMC Cancer ; 19(1): 405, 2019 Apr 29.
Artigo em Inglês | MEDLINE | ID: mdl-31035970

RESUMO

BACKGROUND: Wilms' tumor is also called nephroblastoma and is the most common pediatric renal cancer. Several genetic and epigenetic factors have been found to account for the development of Wilms' tumor. MiRNAs play important roles in this tumorigenic process. In the present study, we aimed to investigate the role of miR-140-5p in nephroblastoma by identifying its targets, as well as its underlying molecular mechanism of action. METHODS: The miRNA expression profile of nephroblastoma samples was investigated and the targets of miR-140-5p were predicted and validated using the miRNA luciferase reporter method. Moreover, the roles of miR-140-5p in regulating nephroblastoma cell proliferation, migration and cell cycle were analyzed by the CCK8, migration and flow cytometry assays, respectively. The downstream protein of the direct target of miR-140-5p was also identified. RESULTS: miR-140-5p was downregulated in Wilms' tumor tissues, whereas in the nephroblastoma cell lines G401 and WT-CLS1 that exhibited high levels of miRNA-140-5p, inhibition of cellular proliferation and metastasis were noted as well as cell cycle arrest at the G1/S phase. TGFBRI and IGF1R were identified as direct target genes for miRNA-140-5p. In addition, SMAD2/3 and p-AKT were regulated by TGFBRI and IGF1R separately and participated in the miRNA-140-5p regulatory network. Ectopic expression of TGFBR1 and IGF-1R could abrogate the inhibitory effect of miR-140-5p. CONCLUSION: We demonstrated that miRNA-140-5p participates in the progression of Wilms' tumor by targeting the TGFBRI/SMAD2/3 and the IGF-1R/AKT signaling pathways.


Assuntos
Proliferação de Células/genética , Regulação Neoplásica da Expressão Gênica , MicroRNAs/genética , Transdução de Sinais/genética , Tumor de Wilms/genética , Linhagem Celular Tumoral , Movimento Celular/genética , Criança , Progressão da Doença , Regulação para Baixo , Pontos de Checagem da Fase G1 do Ciclo Celular/genética , Perfilação da Expressão Gênica , Redes Reguladoras de Genes/genética , Humanos , Proteínas Proto-Oncogênicas c-akt/genética , Proteínas Proto-Oncogênicas c-akt/metabolismo , Receptor do Fator de Crescimento Transformador beta Tipo I/genética , Receptor do Fator de Crescimento Transformador beta Tipo I/metabolismo , Receptores de Somatomedina/genética , Receptores de Somatomedina/metabolismo , Proteína Smad2/genética , Proteína Smad2/metabolismo , Proteína Smad3/genética , Proteína Smad3/metabolismo , Tumor de Wilms/metabolismo , Tumor de Wilms/patologia
12.
Biomed Res Int ; 2019: 3638469, 2019.
Artigo em Inglês | MEDLINE | ID: mdl-31058187

RESUMO

Eosinophil asthma is characterized by the infiltration of eosinophils to the bronchial epithelium. The toxic cationic protein released by eosinophils, mainly major basic protein (MBP), is one of the most important causative factors of epithelium damage. Poly-L-Arginine (PLA) is a kind of synthetic cationic polypeptides, which is widely used to mimic the effects of MBP on epithelial cells in vitro. However, little is known about the changes of differentially expressed genes (DEGs) and transcriptome profiles in cationic protein stimulated epithelial cells. In this study, we compared the expression of DEGs and transcriptome profiles between PLA-treated airway epithelial cells NCI-H292 and control. The results showed that there were a total of 230 DEGs, of which 86 were upregulated and 144 were downregulated. These DEGs were further analyzed using gene ontology (GO) terms and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways. The results showed that the upregulated DEGs were involved in cholesterol synthesis, protein binding, and composition of cellular membranes, mainly enriched in metabolic and biosynthesis pathways. While downregulated DEGs were implicated in cell adhesion, extracellular matrix (ECM) composition and cytoskeleton and were enriched in ECM pathway. In conclusion, our research provided the mechanism of the cationic polypeptides acting on the airway epithelial cells on the basis of transcriptomic profile, and this could be regarded as important indications in unveiling the pathologic role of natural cationic proteins in the damage to epithelial cells of asthmatics.


Assuntos
Células Epiteliais/efeitos dos fármacos , Regulação da Expressão Gênica/efeitos dos fármacos , Pulmão/metabolismo , Transcriptoma/genética , Cátions/farmacologia , Adesão Celular/efeitos dos fármacos , Adesão Celular/genética , Colesterol/genética , Citoesqueleto/efeitos dos fármacos , Citoesqueleto/genética , Células Epiteliais/metabolismo , Células Epiteliais/patologia , Matriz Extracelular/efeitos dos fármacos , Matriz Extracelular/genética , Redes Reguladoras de Genes/genética , Humanos , Pulmão/efeitos dos fármacos , Peptídeos/farmacologia , Sequenciamento Completo do Exoma
13.
Nat Biotechnol ; 37(6): 632-639, 2019 06.
Artigo em Inglês | MEDLINE | ID: mdl-31061483

RESUMO

Microbiomes from every environment contain a myriad of uncultivated archaeal and bacterial viruses, but studying these viruses is hampered by the lack of a universal, scalable taxonomic framework. We present vConTACT v.2.0, a network-based application utilizing whole genome gene-sharing profiles for virus taxonomy that integrates distance-based hierarchical clustering and confidence scores for all taxonomic predictions. We report near-identical (96%) replication of existing genus-level viral taxonomy assignments from the International Committee on Taxonomy of Viruses for National Center for Biotechnology Information virus RefSeq. Application of vConTACT v.2.0 to 1,364 previously unclassified viruses deposited in virus RefSeq as reference genomes produced automatic, high-confidence genus assignments for 820 of the 1,364. We applied vConTACT v.2.0 to analyze 15,280 Global Ocean Virome genome fragments and were able to provide taxonomic assignments for 31% of these data, which shows that our algorithm is scalable to very large metagenomic datasets. Our taxonomy tool can be automated and applied to metagenomes from any environment for virus classification.


Assuntos
Redes Reguladoras de Genes/genética , Genoma Viral/genética , Metagenômica , Vírus/genética , Bacteriófagos/genética , Classificação , Metagenoma/genética , Filogenia , Células Procarióticas/virologia , Vírus/classificação
14.
Medicine (Baltimore) ; 98(18): e15498, 2019 May.
Artigo em Inglês | MEDLINE | ID: mdl-31045836

RESUMO

To perform a comprehensive analysis focusing on the biological functions and interactions of Kashin-Beck disease (KBD)-related genes to provide information towards understanding the pathogenesis of KBD.A retrospective, integrated bioinformatics analysis was designed and conducted. First, by reviewing the literature deposited in PubMed, we identified 922 genes genetically associated with KBD. Then, biological function and network analyses were conducted with Cytoscape software. Moreover, KBD specific molecular network analysis was conducted by Cytocluster using the Molecular Complex Detection Algorithm (MCODE).The biological function enrichment analysis suggested that collagen catabolic process, protein activation cascade, cellular response to growth factor stimulus, skeletal system development, and extrinsic apoptosis played important roles in KBD development. The apoptosis pathway, NF-kappa B signaling pathway, and the glutathione metabolism pathway were significantly enriched in the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway network, suggesting that these pathways may play key roles in KBD occurrence and development. MCODE clusters showed that in top 3 clusters, 54 of KBD-related genes were included in the network and 110 candidate genes were discovered might be potentially related to KBD.The 110 candidate genes discovered in the current study may be related to the development of KBD. The expression changes of apoptosis and oxidative stress-related genes might serve as biomarkers for early diagnosis and treatment of KBD.


Assuntos
Apoptose/genética , Redes Reguladoras de Genes/genética , Doença de Kashin-Bek/genética , Estresse Oxidativo/genética , Transdução de Sinais/genética , Biologia Computacional , Humanos , Estudos Retrospectivos
15.
BMC Bioinformatics ; 20(1): 237, 2019 May 14.
Artigo em Inglês | MEDLINE | ID: mdl-31088350

RESUMO

BACKGROUND: Modules of interacting components arranged in specific network topologies have evolved to perform a diverse array of cellular functions. For a network with a constant topological structure, its function within a cell may still be tuned by changing the number of instances of a particular component (e.g., gene copy number) or by modulating the intrinsic biochemical properties of a component (e.g., binding strength or catalytic efficiency). How such perturbations affect cellular response dynamics remains poorly understood. Here, we explored these effects in a common decision-making motif, cross-antagonism with autoregulation, by synthetically constructing this network in yeast. RESULTS: We employed the engineering design strategy of reuse to build this topology with a single protein building block, TetR, creating necessary components through TetR mutations and fusion partners. We then studied the impact of several topology-preserving perturbations - strength of cross-antagonism, number of operator sites in a promoter, and gene dosage - on decision-making behavior. We found that reducing TetR repression strength, which hinders cross-antagonism, resulted in a loss of mutually exclusive cell responses. Unexpectedly, increasing the number of operator sites also impeded decision-making exclusivity, which may be a consequence of the averaging effect that arises when multiple transcriptional activators and repressors are accommodated at a given locus. Stochastic simulations of this topology revealed that, even for networks with high TetR repression strength and a low number of operator sites, increasing gene dosage can reduce exclusivity in response dynamics. We further demonstrated this result experimentally by quantifying gene copy numbers in selected yeast clones with differing phenotypic responses. CONCLUSIONS: Our study illustrates how parameters that do not change the topological structure of a decision-making network can nonetheless exert significant influence on its response dynamics. These findings should further inform the study of native motifs, including the effects of topology-preserving mutations, and the robust engineering of synthetic networks.


Assuntos
Fenômenos Fisiológicos Celulares/genética , Redes Reguladoras de Genes/genética , Saccharomyces cerevisiae/genética
16.
BMC Bioinformatics ; 20(1): 238, 2019 May 14.
Artigo em Inglês | MEDLINE | ID: mdl-31088372

RESUMO

BACKGROUND: Cancer as a worldwide problem is driven by genomic alterations. With the advent of high-throughput sequencing technology, a huge amount of genomic data generates at every second which offer many valuable cancer information and meanwhile throw a big challenge to those investigators. As the major characteristic of cancer is heterogeneity and most of alterations are supposed to be useless passenger mutations that make no contribution to the cancer progress. Hence, how to dig out driver genes that have effect on a selective growth advantage in tumor cells from those tremendously and noisily data is still an urgent task. RESULTS: Considering previous network-based method ignoring some important biological properties of driver genes and the low reliability of gene interactive network, we proposed a random walk method named as Subdyquency that integrates the information of subcellular localization, variation frequency and its interaction with other dysregulated genes to improve the prediction accuracy of driver genes. We applied our model to three different cancers: lung, prostate and breast cancer. The results show our model can not only identify the well-known important driver genes but also prioritize the rare unknown driver genes. Besides, compared with other existing methods, our method can improve the precision, recall and fscore to a higher level for most of cancer types. CONCLUSIONS: The final results imply that driver genes are those prone to have higher variation frequency and impact more dysregulated genes in the common significant compartment. AVAILABILITY: The source code can be obtained at https://github.com/weiba/Subdyquency .


Assuntos
Redes Reguladoras de Genes/genética , Genômica/métodos , Humanos , Reprodutibilidade dos Testes
17.
Nat Commun ; 10(1): 2180, 2019 05 16.
Artigo em Inglês | MEDLINE | ID: mdl-31097707

RESUMO

Most combination therapies are developed based on targets of existing drugs, which only represent a small portion of the human proteome. We introduce a network controllability-based method, OptiCon, for de novo identification of synergistic regulators as candidates for combination therapy. These regulators jointly exert maximal control over deregulated genes but minimal control over unperturbed genes in a disease. Using data from three cancer types, we show that 68% of predicted regulators are either known drug targets or have a critical role in cancer development. Predicted regulators are depleted for known proteins associated with side effects. Predicted synergy is supported by disease-specific and clinically relevant synthetic lethal interactions and experimental validation. A significant portion of genes regulated by synergistic regulators participate in dense interactions between co-regulated subnetworks and contribute to therapy resistance. OptiCon represents a general framework for systemic and de novo identification of synergistic regulators underlying a cellular state transition.


Assuntos
Protocolos de Quimioterapia Combinada Antineoplásica/farmacologia , Biologia Computacional/métodos , Redes Reguladoras de Genes/efeitos dos fármacos , Neoplasias/genética , Mapas de Interação de Proteínas/efeitos dos fármacos , Células A549 , Algoritmos , Protocolos de Quimioterapia Combinada Antineoplásica/uso terapêutico , Conjuntos de Dados como Assunto , Sinergismo Farmacológico , Quimioterapia Combinada/métodos , Feminino , Perfilação da Expressão Gênica , Regulação Neoplásica da Expressão Gênica/efeitos dos fármacos , Redes Reguladoras de Genes/genética , Células HEK293 , Humanos , Células MCF-7 , Modelos Genéticos , Terapia de Alvo Molecular/métodos , Mutação , Neoplasias/tratamento farmacológico , Neoplasias/patologia , Mapas de Interação de Proteínas/genética , Transdução de Sinais/efeitos dos fármacos , Transdução de Sinais/genética
18.
Nat Cell Biol ; 21(5): 542-551, 2019 05.
Artigo em Inglês | MEDLINE | ID: mdl-31048766

RESUMO

A diverse catalog of long noncoding RNAs (lncRNAs), which lack protein-coding potential, are transcribed from the mammalian genome. They are emerging as important regulators in gene expression networks by controlling nuclear architecture and transcription in the nucleus and by modulating mRNA stability, translation and post-translational modifications in the cytoplasm. In this Review, we highlight recent progress in cellular functions of lncRNAs at the molecular level in mammalian cells.


Assuntos
Fenômenos Fisiológicos Celulares/genética , Genoma/genética , Biossíntese de Proteínas/genética , RNA Longo não Codificante/genética , Animais , Redes Reguladoras de Genes/genética , Humanos , Processamento de Proteína Pós-Traducional/genética , Estabilidade de RNA/genética
20.
Arch Virol ; 164(8): 2005-2013, 2019 Aug.
Artigo em Inglês | MEDLINE | ID: mdl-31102052

RESUMO

We previously found that genetic factors are associated with a familial predisposition for developing liver cirrhosis and hepatocellular carcinoma during chronic hepatitis B virus (HBV) infection. Autophagy has been shown to play a role in HBV replication and the course of disease. More than 190 host genes have been identified that modify the process of autophagy, but which of these genes are involved in chronicity of HBV infection and how this occurs remains unclear. Chronic hepatitis B (CHB) patients were recruited to investigate the expression of autophagy-modulating genes in peripheral blood mononuclear cells (PBMCs). mRNA prepared from PBMCs from members of two families with clustering HBV infection, including 11 CHB patients and nine healthy spouses, was hybridized to high-density oligonucleotide arrays. Immunoblot analysis was used to determine the level of autophagy. Of the 192 autophagy-modulating genes, 18 were found to be differently expressed. Of these, 11 displayed decreased expression in CHB patients, while seven displayed increased expression compared to those in healthy controls. Functional analysis showed that these genes are closely involved in initiation, nucleation, elongation of phagophores, formation of autophagosomes, transportation to lysosomes, and the process of degradation. Western blot analysis revealed inhibited autophagy in PBMCs based on decreased lipidation of LC3II. A differential expression profile of autophagy-modulating genes was observed, and decreased autophagy in PBMCs could be closely associated with chronicity of HBV infection, suggesting a novel strategy for the treatment of patients with chronic HBV infection.


Assuntos
Proteínas Relacionadas à Autofagia/genética , Autofagia/genética , Redes Reguladoras de Genes/genética , Hepatite B Crônica/genética , Leucócitos Mononucleares/fisiologia , Autofagossomos/fisiologia , Análise por Conglomerados , Feminino , Vírus da Hepatite B/patogenicidade , Hepatite B Crônica/virologia , Humanos , Lisossomos/fisiologia , Masculino , RNA Mensageiro/genética
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