Base de dados : LILACS
Pesquisa : G02.111.873.750 [Categoria DeCS]
Referências encontradas : 49 [refinar]
Mostrando: 1 .. 10   no formato [Detalhado]

página 1 de 5 ir para página              

  1 / 49 LILACS  
              next record last record
seleciona
para imprimir
Fotocópia
Texto completo
Id: biblio-1024852
Autor: Millar, Angela D; Tapia, Paz; Gómez, Fernando A; Marshall, Sergio H; Fuentes, Derie E; Valdes, Jorge H.
Título: Draft genomes and reference transcriptomes extend the coding potential of the fish pathogen Piscirickettsia salmonis
Fonte: Electron. j. biotechnol;33:36-38, May. 2018. tab.
Idioma: en.
Projeto: InnovaChile-CORFO; . FONDECYT INICIACION; . FONDECYT; . CONICYT-PAI.
Resumo: Background: Draft and complete genome sequences from bacteria are key tools to understand genetic determinants involved in pathogenesis in several disease models. Piscirickettsia salmonis is a Gram-negative bacterium responsible for the Salmon Rickettsial Syndrome (SRS), a bacterial disease that threatens the sustainability of the Chilean salmon industry. In previous reports, complete and draft genome sequences have been generated and annotated. However, the lack of transcriptome data underestimates the genetic potential, does not provide information about transcriptional units and contributes to disseminate annotation errors. Results: Here we present the draft genome and transcriptome sequences of four P. salmonis strains. We have identified the transcriptional architecture of previously characterized virulence factors and trait-specific genes associated to cation uptake, metal efflux, antibiotic resistance, secretion systems and other virulence factors. Conclusions: This data has provided a refined genome annotation and also new insights on the transcriptional structures and coding potential of this fish pathogen.
Descritores: Salmonidae
Infecções por Piscirickettsiaceae/veterinária
Piscirickettsia/genética
Doenças dos Peixes/microbiologia
-Genoma Bacteriano
Piscirickettsia/patogenicidade
Transcriptoma
Limites: Animais
Responsável: CL1.1 - Biblioteca Central


  2 / 49 LILACS  
              first record previous record next record last record
seleciona
para imprimir
Fotocópia
Texto completo
Id: biblio-1047771
Autor: Yan, Xia; Qian, Chaoju; Yin, Xiaoyue; Fan, Xingke; Zhao, Xueyong; Gu, Menghe; Wang, Tao; Ma, Xiao-Fei.
Título: A whole-transcriptome approach to evaluate reference genes for quantitative diurnal gene expression studies under natural field conditions in Tamarix ramosissima leaves
Fonte: Electron. j. biotechnol;35:48-56, sept. 2018. tab, graf.
Idioma: en.
Projeto: National Key Research and Development Program of China; . Natural Science Foundation of China; . Gansu Science and Technology Supporting Project.
Resumo: Background: Tamarix ramosissima is a desert forest tree species that is widely distributed in the drought-stricken areas to sustain the fragile ecosystem. Owing to its wide usage in the desert restoration of Asia, it can be used as an ecophysiological model plant. To obtain reliable and accurate results, a set of reference genes should be screened before gene expression. However, up to date, systematical evaluation of reference genes has not been conducted in T. ramosissima. Results: In this study, we used eigenvalues derived from principal component analysis to identify stable expressed genes from 72,035 unigenes from diurnal transcriptomes under natural field conditions. With combined criteria of read counts above 900 and CV of FPKM below 0.3, a total of 7385 unigenes could be qualified as candidate reference genes in T. ramosissima. By using three statistical algorithm packages, geNorm, NormFinder, and BestKeeper, the stabilities of these novel reference genes were further compared with a panel of traditional reference genes. The expression patterns of three aquaporins (AQPs) suggested that at least UBQ (high expression), EIF4A2 (low expression), and GAPDH (moderate expression) could be qualified as ideal reference genes in both RT-PCR and RNA-seq analysis of T. ramosissima. Conclusions: This work will not only facilitate future studies on gene expression and functional analysis of genetic resources of desert plants but also improve our understanding of the molecular regulation of water transport in this plant, which could provide a new clue to further investigate the drought adaptation mechanism of desert plant species under harsh environments.
Descritores: Tamaricaceae/genética
Transcriptoma
-Padrões de Referência
Adaptação Biológica
Expressão Gênica
Ecossistema
Folhas de Planta/genética
Deserto
Recuperação e Remediação Ambiental
Secas
Reação em Cadeia da Polimerase em Tempo Real
RNA-Seq
Responsável: CL1.1 - Biblioteca Central


  3 / 49 LILACS  
              first record previous record next record last record
seleciona
para imprimir
Fotocópia
Texto completo
Id: biblio-1254810
Autor: Wang, Sihu; Abbas Raza, Sayed Haidar; Mei, Chugang; Zhu, Kai; Garcia, Matthew; Schreurs, Nicola M; Liang, Chengcheng; Yang, Xinran; Zan, Linsen.
Título: Transcriptome profiling reveals differential expression of genes potentially involved in muscle and adipose tissue development of cattle
Fonte: Electron. j. biotechnol;48:72-77, nov. 2020. tab, ilus.
Idioma: en.
Projeto: National Key Research and Development Program of China; . National Natural Science Foundation of China; . National Key Technology Support Program; . National Beef and Yak Industrial Technology System; . Transformation Special Project of Scientific and Technological Achievements in Qinghai Province; . Agricultural Science and Technology Innovation and Transformation Project of Shaanxi Province.
Resumo: BACKGROUND: To identify differentially expressed genes (DEGs) between muscle and adipose in cattle, we analyzed the data from the RNA sequencing of three Angus×Qinchuan crossbred cattle. RESULTS: Searched the Gene Expression Omnibus (GEO) for a microarray dataset of Yan yellow cattle, GSE49992. After the DEGs were identified, we used STRING and Cytoscape to construct a protein­protein interaction (PPI) network, subsequently analyzing the major modules of key genes. In total, 340 DEGs were discovered, including 21 hub genes, which were mainly enriched in muscle contraction, skeletal muscle contraction, troponin complex, lipid particle, Z disc, tropomyosin binding, and actin filament binding. CONCLUSIONS: In summary, these genes can be regarded as candidate biomarkers for the regulation of muscle and adipose development.
Descritores: Tecido Adiposo/crescimento & desenvolvimento
Desenvolvimento Muscular/genética
Transcriptoma/genética
-Expressão Gênica
Regulação da Expressão Gênica no Desenvolvimento
Biologia Computacional
RNA-Seq
Limites: Animais
Bovinos
Responsável: CL1.1 - Biblioteca Central


  4 / 49 LILACS  
              first record previous record next record last record
seleciona
para imprimir
Fotocópia
Texto completo SciELO Chile
Texto completo
Id: biblio-838971
Autor: Thunders, Michelle; Cavanagh, Jo; Li, Yinsheng.
Título: De novo transcriptome assembly, functional annotation and differential gene expression analysis of juvenile and adult E. fetida, a model oligochaete used in ecotoxicological studies
Fonte: Biol. Res;50:7, 2017. tab, graf.
Idioma: en.
Resumo: BACKGROUND: Earthworms are sensitive to toxic chemicals present in the soil and so are useful indicator organisms for soil health. Eisenia fetida are commonly used in ecotoxicological studies; therefore the assembly of a baseline transcriptome is important for subsequent analyses exploring the impact of toxin exposure on genome wide gene expression. RESULTS: This paper reports on the de novo transcriptome assembly of E. fetida using Trinity, a freely available software tool. Trinotate was used to carry out functional annotation of the Trinity generated transcriptome file and the transdecoder generated peptide sequence file along with BLASTX, BLASTP and HMMER searches and were loaded into a Sqlite3 database. To identify differentially expressed transcripts; each of the original sequence files were aligned to the de novo assembled transcriptome using Bowtie and then RSEM was used to estimate expression values based on the alignment. EdgeR was used to calculate differential expression between the two conditions, with an FDR corrected P value cut off of 0.001, this returned six significantly differentially expressed genes. Initial BLASTX hits of these putative genes included hits with annelid ferritin and lysozyme proteins, as well as fungal NADH cytochrome b5 reductase and senescence associated proteins. At a cut off of P = 0.01 there were a further 26 differentially expressed genes. CONCLUSION: These data have been made publicly available, and to our knowledge represent the most comprehensive available transcriptome for E. fetida assembled from RNA sequencing data. This provides important groundwork for subsequent ecotoxicogenomic studies exploring the impact of the environment on global gene expression in E. fetida and other earthworm species.
Descritores: Oligoquetos/genética
Perfilação da Expressão Gênica/métodos
Ecotoxicologia
Transcriptoma
-Oligoquetos/efeitos dos fármacos
Poluentes do Solo/toxicidade
Software
Análise de Sequência de RNA/métodos
Toxicogenética/métodos
Exposição Ambiental
Ontologia Genética
Limites: Animais
Responsável: CL1.1 - Biblioteca Central


  5 / 49 LILACS  
              first record previous record next record last record
seleciona
para imprimir
Fotocópia
Texto completo
Id: biblio-1247999
Autor: Alvim, Luisa Matos do Canto.
Título: Identificação de marcadores moleculares de resposta ao tratamento neoadjuvante em pacientes com adenocarcinoma de reto / Identification of molecular markers of neoadjuvant treatment response in rectal adenocarcinoma patients.
Fonte: São Paulo; s.n; 2018. 160 p. ilust, tabelas.
Idioma: pt.
Tese: Apresentada a Fundação Antônio Prudente para obtenção do grau de Doutor.
Resumo: Pacientes com câncer de reto (CaRe) em estadio II ou III são tratados com radioquimioterapia neoadjuvante (nCRT), a qual é responsável pela diminuição de recidivas loco-regionais e amputação do esfíncter. A resposta à terapia é variável, incluindo aqueles que não respondem ao tratamento e os que apresentam resposta patológica completa - pCR (15 a 30%). O objetivo deste estudo foi identificar alterações genéticas e epigenéticas que corroborem para a elucidação dos mecanismos de resistência ao tratamento radio e quimioterápico neoadjuvante em pacientes com adenocarcinoma de reto. Foram incluídos 34 CaRe estadio II ou III, submetidos a nCRT. Onze pacientes apresentaram pCR (ypT0N0M0) e 23, resposta patológica incompleta (pIR). Foram utilizadas 10 amostras de reto normal (necrópsias) como referência. As alterações genômicas e de expressão gênica foram avaliadas pelas plataformas CytoScan HD Array e GeneChip Human Transcriptome Array (Affymetrix/Thermo Fisher), respectivamente. O sequenciamento de 105 genes (SureSelectXT Custom Panel, Agilent) relacionados ao câncer foi realizado no NextSeq 550 (Illumina). A plataforma Infinium® Human MethylationEPIC BeadChip (Illumina) foi utilizada para a análise do metiloma. Alterações genômicas identificadas em CaRe evidenciaram alta instabilidade cromossômica e um número significativo de casos com alterações na via de reparo por recombinação homóloga (HR), identificada por mutação em genes da via ou por escores de deficiência (tAI, LST e HDR-LOH). Essas alterações foram corroboradas por vias alteradas relacionadas à regulação das ciclinas e do ciclo celular, assim como do ponto de checagem de reconhecimento de quebras de dupla fita de DNA identificadas por meio do enriquecimento dos genes diferencialmente expressos. A análise integrada dos resultados do metiloma e transcriptômica permitiu a identificação de genes desregulados por metilação os quais foram confirmados com dados externos (TCGA). As diferenças moleculares entre os casos com pCR e pIR incluíram alterações genômica estruturais e um maior index de instabilidade genômica (GII) em pCR. Um maior número de casos com pIR apresentou mutações em genes relacionados à via HR. Esses resultados sugerem que platina e inibidores de PARP1 poderiam ser um tratamento alternativo nos casos com deficiência dessa via. Os perfis de metilação do DNA de cada grupo revelaram maior proporção de sondas hipermetiladas em pCR (44% vs. 18% em pIR). Com base nos dados de três sondas diferencialmente metiladas, foi possível desenvolver um classificador capaz de predizer a resposta à nCRT (100% de sensibilidade e 90% de especificidade). Usando os resultados do transcriptoma, foram identificadas diferentes vias alteradas em CaRe de acordo com a resposta à nCRT. Enquanto os casos com pCR apresentaram vias alteradas relacionadas à resposta do sistema imune e à sinalização de Wnt, o grupo de pIR revelou alterações de controle do ciclo celular e do reparo de quebras de dupla fita de DNA, além de desregulação de mecanismos epigenéticos e de níveis de transcritos. Utilizando os dados de expressão gênica, foi realizada uma análise do secretoma de acordo com a resposta à nCRT, identificando-se ASPH como potencial marcador de pCR. A mesma estratégia revelou UBE2C e CEMIP como marcadores de resistência à nCRT, os quais poderiam ser investigados em biópsias líquidas. Este estudo revelou potenciais marcadores moleculares e mutações que têm potencial para subclassificar os pacientes de acordo com a resposta à terapia atualmente utilizada. Em adição, nossos achados deram evidências de novas estratégias terapêuticas que poderiam ser aplicadas para os pacientes com CaRe

Rectal cancer patients (ReCa) stage II or III undergo neoadjuvant chemoradiotherapy (nCRT), responsible for a decrease in loco-regional recurrence and sphincter amputation. The response to treatment is varied, including patients showing partial or incomplete response to therapy (pIR) and those who achieve pathological complete response - pCR (15 to 30%). The aim of this study was to identify genetic and epigenetic alterations that can be useful to understand the mechanisms of resistance to neoadjuvant chemoradiotherapy in ReCa patients. A total of 34 patients with ReCa stage II or III submitted to nCRT were included. Eleven patients had pCR (ypT0N0M0) and 23 pIR. Ten normal rectal tissue samples (necropsies) were used as reference. Genomic alterations and gene expression profiles were evaluated using the platforms CytoScan HD Array and GeneChip Human Transcriptome Array (Affymetrix/Thermo Fisher), respectively. Targeted nextgeneration sequencing of 105 cancer related genes was performed using the NextSeq 550 (Illumina). The Infinium® Human MethylationEPIC BeadChip (Illumina) platform was used for methylome analysis. High chromosomal instability and a significant number of cases with changes in the DNA damage repair by homologous recombination pathway (HR), identified by mutation in pathway genes or by deficiency scores (tAI, LST and HDR-LOH), were detected in the genomic analysis. These alterations are corroborated by altered pathways related to the regulation of cyclins and the cell cycle, as well as the double-stranded DNA recognition checkpoint identified by the enrichment of the differentially expressed genes. The integrative analysis of differential methylation and transcriptomic results allowed the identification of genes altered by methylation, which were confirmed with external data (TCGA). Molecular differences between pCR and pIR cases included structural genomic changes and a high genomic instability index (GII) in pCR. A higher number of cases with pIR showed mutations in genes related to the HR pathway. These findings suggest that PARP-inhibitors and platinum may be alternative therapeutic approaches for these patients. The DNA methylation profiles of each group revealed a higher proportion of hypermethylated probes in pCR (44% vs. 18% in pIR). Based on data from three differentially methylated probes, a classifier was developed showing the ability of predicting the response to nCRT (100% sensitivity and 90% specificity). Using the transcriptome results, different altered pathways in ReCa were identified according to the response to nCRT. While altered pathways in pCR cases were related to immune system response and Wnt signaling, the pIR group revealed changes in cell cycle control and repair of double stranded DNA breaks, as well as dysregulation of epigenetic mechanisms and transcripts levels. Using the gene expression data, a secretome analysis was performed according to the nCRT response, identifying ASPH as a potential pCR marker. The same strategy revealed UBE2C and CEMIP as markers of nCRT resistance, which could be investigated in liquid biopsies. This study revealed molecular markers and mutations that showed the potential to subclassify the patients according to the response to therapy currently used in the clinical practice. Furthermore, our findings give evidences of novel therapeutic strategies for patients with CaRe
Descritores: Neoplasias Retais/genética
Biomarcadores Tumorais
Metilação de DNA
Terapia Neoadjuvante
Transcriptoma
Limites: Humanos
Masculino
Feminino
Adulto
Pessoa de Meia-Idade
Idoso
Idoso de 80 Anos ou mais
Responsável: BR30.1 - Biblioteca
BR30.1


  6 / 49 LILACS  
              first record previous record next record last record
seleciona
para imprimir
Fotocópia
Texto completo SciELO Chile
Texto completo
Id: biblio-950830
Autor: Zhang, Yuhong; Wu, Hongsheng; Xie, Jiaqin; Jiang, Ruixin; Deng, Congshuang; Pang, Hong.
Título: Transcriptome responses to heat- and cold-stress in ladybirds (Cryptolaemus montrouzieri Mulasnt) analyzed by deep-sequencing
Fonte: Biol. Res;48:1-14, 2015. graf, tab.
Idioma: en.
Projeto: National Basic Research Program of China; . National Natural Science Foundation of China; . National Natural Science Foundation of China; . Chinese Academy of Sciences; . Science and Technology Planning Project of Guangdong Province. Knowledge Innovation Program.
Resumo: BACKGROUND: Changed temperature not only threaten agricultural production, but they also affect individual biological behavior, population and community of many insects, and consequently reduce the stability of our ecosystem. Insect's ability to respond to temperature stress evolved through a complex adaptive process, thus resulting in varied temperature tolerance among different insects. Both high and low extreme temperatures are detrimental to insect development since they constitute an important abiotic stress capable of inducing abnormal biological responses. Many studies on heat or cold tolerance of ladybirds have focused on measurements of physiological and biochemical indexes such as supercooling point, higher/lower lethal temperatures, survival rate, dry body weight, water content, and developmental duration. And studies of the molecular mechanisms of ladybird responses to heat or cold stress have focused on single genes, such as those encoding heat shock proteins, but has not been analyzed by transcriptome profiling. RESULTS: In this study, we report the use of Digital Gene Expression (DGE) tag profiling to gain insight into transcriptional events associated with heat- and cold-stress in C. montrouzieri. About 6 million tags (49 bp in length) were sequenced in a heat stress group, a cold stress group and a negative control group. We obtained 687 and 573 genes that showed significantly altered expression levels following heat and cold shock treatments, respectively. Analysis of the global gene expression pattern suggested that 42 enzyme-encoding genes mapped to many Gene Ontology terms are associated with insect's response to heat- and cold-stress. CONCLUSIONS: These results provide a global assessment of genes and molecular mechanisms involved in heat and cold tolerance.
Descritores: Besouros/genética
Resposta ao Choque Térmico/genética
Sequenciamento de Nucleotídeos em Larga Escala/métodos
Resposta ao Choque Frio/genética
Transcriptoma
-Estresse Fisiológico/genética
Besouros/classificação
Besouros/enzimologia
Biblioteca Gênica
Análise de Sequência de DNA/métodos
Genes de Insetos/fisiologia
Temperatura Baixa
Primers do DNA
Perfilação da Expressão Gênica/métodos
Reação em Cadeia da Polimerase em Tempo Real
Ontologia Genética
Temperatura Alta
Limites: Animais
Tipo de Publ: Research Support, Non-U.S. Gov't
Responsável: CL1.1 - Biblioteca Central


  7 / 49 LILACS  
              first record previous record next record last record
seleciona
para imprimir
Fotocópia
Texto completo SciELO Chile
Texto completo
Id: biblio-950831
Autor: Oh, Kimin; Hwang, Taeho; Cha, Kihoon; Yi, Gwan-Su.
Título: Disease association and inter-connectivity analysis of human brain specific co-expressed functional modules
Fonte: Biol. Res;48:1-6, 2015. graf, tab.
Idioma: en.
Projeto: the Ministry of Science; . the Korea government.
Resumo: BACKGROUND: In the recent studies, it is suggested that the analysis of transcriptomic change of functional modules instead of individual genes would be more effective for system-wide identification of cellular functions. This could also provide a new possibility for the better understanding of difference between human and chimpanzee. RESULTS: In this study, we analyzed to find molecular characteristics of human brain functions from the difference of transcriptome between human and chimpanzee's brain using the functional module-centric co-expression analysis. We performed analysis of brain disease association and systems-level connectivity of species-specific co-expressed functional modules. CONCLUSIONS: Throughout the analyses, we found human-specific functional modules and significant overlap between their genes in known brain disease genes, suggesting that human brain disorder could be mediated by the perturbation of modular activities emerged in human brain specialization. In addition, the human-specific modules having neurobiological functions exhibited higher networking than other functional modules. This finding suggests that the expression of neural functions are more connected than other functions, and the resulting high-order brain functions could be identified as a result of consolidated inter-modular gene activities. Our result also showed that the functional module based transcriptome analysis has a potential to expand molecular understanding of high-order complex functions like cognitive abilities and brain disorders.
Descritores: Encéfalo/metabolismo
Pan troglodytes/genética
Redes Reguladoras de Genes/genética
Transcriptoma
Vias Neurais/metabolismo
-Predisposição Genética para Doença/classificação
Predisposição Genética para Doença/genética
Perfilação da Expressão Gênica/métodos
Limites: Humanos
Animais
Tipo de Publ: Research Support, Non-U.S. Gov't
Responsável: CL1.1 - Biblioteca Central


  8 / 49 LILACS  
              first record previous record next record last record
seleciona
para imprimir
Fotocópia
Texto completo SciELO Chile
Texto completo
Id: biblio-950852
Autor: Wang, Min; Yan, Jingjun; He, Xingxing; Zhong, Qiang; Zhan, Chengye; Li, Shusheng.
Título: Candidate genes and pathogenesis investigation for sepsis-related acute respiratory distress syndrome based on gene expression profile
Fonte: Biol. Res;49:1-9, 2016. ilus, graf, tab.
Idioma: en.
Resumo: BACKGROUND: Acute respiratory distress syndrome (ARDS) is a potentially devastating form of acute inflammatory lung injury as well as a major cause of acute respiratory failure. Although researchers have made significant progresses in elucidating the pathophysiology of this complex syndrome over the years, the absence of a universal detail disease mechanism up until now has led to a series of practical problems for a definitive treatment. This study aimed to predict some genes or pathways associated with sepsis-related ARDS based on a public microarray dataset and to further explore the molecular mechanism of ARDS. RESULTS: A total of 122 up-regulated DEGs and 91 down-regulated differentially expressed genes (DEGs) were obtained. The up- and down-regulated DEGs were mainly involved in functions like mitotic cell cycle and pathway like cell cycle. Protein-protein interaction network of ARDS analysis revealed 20 hub genes including cyclin B1 (CCNB1), cyclin B2 (CCNB2) and topoisomerase II alpha (TOP2A). A total of seven transcription factors including forkhead box protein M1 (FOXM1) and 30 target genes were revealed in the transcription factor-target gene regulation network. Furthermore, co-cited genes including CCNB2-CCNB1 were revealed in literature mining for the relations ARDS related genes. CONCLUSIONS: Pathways like mitotic cell cycle were closed related with the development of ARDS. Genes including CCNB1, CCNB2 and TOP2A, as well as transcription factors like FOXM1 might be used as the novel gene therapy targets for sepsis related ARDS
Descritores: Transtornos Respiratórios/genética
Sepse/complicações
Sepse/genética
Estudos de Associação Genética
Transcriptoma
-Fatores de Transcrição
Regulação para Baixo
Ciclo Celular/genética
Regulação para Cima
Marcação de Genes
Perfilação da Expressão Gênica
Bases de Dados Genéticas
Mapas de Interação de Proteínas
Limites: Humanos
Responsável: CL1.1 - Biblioteca Central


  9 / 49 LILACS  
              first record previous record next record last record
seleciona
para imprimir
Fotocópia
Texto completo SciELO Brasil
Texto completo
Id: biblio-1136274
Autor: Li, Shan-Shan; Tian, Jia-Mei; Wei, Tong-Huan; Wang, Hao-Ren.
Título: Identification of key genes for type 1 diabetes mellitus by network-based guilt by association
Fonte: Rev. Assoc. Med. Bras. (1992);66(6):778-783, June 2020. graf.
Idioma: en.
Resumo: SUMMARY OBJECTIVE This study aimed to propose a co-expression-network (CEN) based gene functional inference by extending the "Guilt by Association" (GBA) principle to predict candidate gene functions for type 1 diabetes mellitus (T1DM). METHODS Firstly, transcriptome data of T1DM were retrieved from the genomics data repository for differentially expressed gene (DEGs) analysis, and a weighted differential CEN was generated. The area under the receiver operating characteristics curve (AUC) was chosen to determine the performance metric for each Gene Ontology (GO) term. Differential expression analysis identified 325 DEGs in T1DM, and co-expression analysis generated a differential CEN of edge weight > 0.8. RESULTS A total of 282 GO annotations with DEGs > 20 remained for functional inference. By calculating the multifunctionality score of genes, gene function inference was performed to identify the optimal gene functions for T1DM based on the optimal ranking gene list. Considering an AUC > 0.7, six optimal gene functions for T1DM were identified, such as regulation of immune system process and receptor activity. CONCLUSIONS CEN-based gene functional inference by extending the GBA principle predicted 6 optimal gene functions for T1DM. The results may be potential paths for therapeutic or preventive treatments of T1DM.

RESUMO OBJETIVO O objetivo deste estudo é realizar uma inferência funcional genética baseada na rede de coexpressão (CEN), expandindo o escopo do princípio de "Culpa por Associação" (GBA - Guilt by Association) para prever as funções genéticas do diabetes mellitus tipo 1 (T1DM). MÉTODOS Primeiro, os dados transcritos do T1DM foram recuperados do repositório de dados genômicos para a análise dos genes diferenciais (DEGs), e foi gerada uma CEN diferencial ponderada. A área sob a curva ROC (AUC) foi escolhida para determinar a métrica de desempenho para cada termo de Ontologia Genética (GO). A análise da expressão diferencial identificou 325 DEGs no T1DM, e a análise de coexpressão gerou uma CEN diferencial com aresta de peso >0,8. RESULTADOS Um total de 282 anotações de GO com DEGs >20 foram mantidas para inferência funcional. Ao calcular a pontuação de multifuncionalidade dos genes, a inferência da função genética foi realizada para identificar as funções genéticas ideais para T1DM com base na lista de classificação genética ideal. Considerando um valor de AUC >0,7, foram identificadas seis funções genéticas ideais para a T1DM, tais como a regulação do processo imunológico e da atividade dos receptores. CONCLUSÕES A inferência funcional genética baseada em CEN, ao expandir o princípio de GBA, previu seis funções genéticas ideais para o T1DM. Os resultados podem ser caminhos potenciais para tratamentos terapêuticos ou preventivos do T1DM.
Descritores: Diabetes Mellitus Tipo 1/genética
-Biomarcadores
Curva ROC
Perfilação da Expressão Gênica
Transcriptoma
Limites: Humanos
Responsável: BR1.1 - BIREME


  10 / 49 LILACS  
              first record previous record
seleciona
para imprimir
Fotocópia
Texto completo SciELO Chile
Texto completo
Id: biblio-950908
Autor: Deng, Xiuling; Wang, Dong; Wang, Shenyuan; Wang, Haisheng; Zhou, Huanmin.
Título: Identification of key genes and pathways involved in response to pain in goat and sheep by transcriptome sequencing
Fonte: Biol. Res;51:25, 2018. tab, graf.
Idioma: en.
Resumo: PURPOSE: This aim of this study was to investigate the key genes and pathways involved in the response to pain in goat and sheep by transcriptome sequencing. METHODS: Chronic pain was induced with the injection of the complete Freund's adjuvant (CFA) in sheep and goats. The animals were divided into four groups: CFA-treated sheep, control sheep, CFA-treated goat, and control goat groups (n = 3 in each group). The dorsal root ganglions of these animals were isolated and used for the construction of a cDNA library and transcriptome sequencing. Differentially expressed genes (DEGs) were identified in CFA-induced sheep and goats and gene ontology (GO) enrichment analysis was performed. RESULTS: In total, 1748 and 2441 DEGs were identified in CFA-treated goat and sheep, respectively. The DEGs identified in CFA-treated goats, such as C-C motif chemokine ligand 27 (CCL27), glutamate receptor 2 (GRIA2), and sodium voltage-gated channel alpha subunit 3 (SCN3A), were mainly enriched in GO functions associated with N-methyl-D-aspartate (NMDA) receptor, inflammatory response, and immune response. The DEGs identified in CFA-treated sheep, such as gamma-aminobutyric acid (GABA)-related DEGs (gamma-aminobutyric acid type A receptor gamma 3 subunit [GABRG3], GABRB2, and GABRB1), SCN9A, and transient receptor potential cation channel subfamily V member 1 (TRPV1), were mainly enriched in GO functions related to neuroactive ligand-receptor interaction, NMDA receptor, and defense response. CONCLUSIONS: Our data indicate that NMDA receptor, inflammatory response, and immune response as well as key DEGs such as CCL27, GRIA2, and SCN3A may regulate the process of pain response during chronic pain in goats. Neuroactive ligand-receptor interaction and NMDA receptor as well as GABA-related DEGs, SCN9A, and TRPV1 may modulate the process of response to pain in sheep. These DEGs may serve as drug targets for preventing chronic pain.
Descritores: Transdução de Sinais/genética
Dor Crônica/genética
Transcriptoma/genética
Gânglios Espinais/fisiopatologia
-Cabras
Ovinos
Transdução de Sinais/fisiologia
Biblioteca Gênica
Adjuvantes Imunológicos
Adjuvante de Freund
Limiar da Dor/fisiologia
Perfilação da Expressão Gênica
Modelos Animais de Doenças
Dor Crônica/fisiopatologia
Dor Crônica/induzido quimicamente
Transcriptoma/fisiologia
Ontologia Genética
Limites: Animais
Responsável: CL1.1 - Biblioteca Central



página 1 de 5 ir para página              
   


Refinar a pesquisa
  Base de dados : Formulário avançado   

    Pesquisar no campo  
1  
2
3
 
           



Search engine: iAH v2.6 powered by WWWISIS

BIREME/OPAS/OMS - Centro Latino-Americano e do Caribe de Informação em Ciências da Saúde