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1.
Bioengineered ; 10(1): 345-352, 2019 12.
Artigo em Inglês | MEDLINE | ID: mdl-31411110

RESUMO

This study aimed to detect serum miR-203 expression levels in AML and explore its potential clinical significance. Quantitative reverse transcriptase polymerase chain reaction (qRT-PCR) was performed to measure the serum miR-203 levels in 134 patients with AML and 70 healthy controls. The results demonstrated that serum miR-203 expression was significantly reduced in AML patients compared with healthy controls. Receiver operating characteristic curve (ROC) analysis revealed miR-203 could distinguish AML cases from normal controls. Low serum miR-203 levels were associated with worse clinical features, as well as poorer overall survival and relapse free survival of AML patients. Moreover, multivariate analysis confirmed low serum miR-203 expression to be an independent unfavorable prognostic predictor for AML. The bioinformatics analysis showed that the downstream genes and pathways of miR-203 was closely associated with tumorigenesis. Downregulation of miR-203 in AML cell lines upregulated the expression levels of oncogenic promoters such as CREB1, SRC and HDAC1. Thus, these findings demonstrated that serum miR-203 might be a promising biomarker for the diagnosis and prognosis of AML.


Assuntos
Biomarcadores Tumorais/genética , Carcinogênese/genética , Regulação Leucêmica da Expressão Gênica , Leucemia Mieloide Aguda/genética , MicroRNAs/genética , Proteínas de Neoplasias/genética , Antagomirs/genética , Antagomirs/metabolismo , Biomarcadores Tumorais/sangue , Carcinogênese/metabolismo , Carcinogênese/patologia , Estudos de Casos e Controles , Linhagem Celular Tumoral , Biologia Computacional/métodos , Proteína de Ligação ao Elemento de Resposta ao AMP Cíclico/sangue , Proteína de Ligação ao Elemento de Resposta ao AMP Cíclico/genética , Perfilação da Expressão Gênica , Ontologia Genética , Histona Desacetilase 1/sangue , Histona Desacetilase 1/genética , Humanos , Leucemia Mieloide Aguda/sangue , Leucemia Mieloide Aguda/mortalidade , Leucemia Mieloide Aguda/patologia , MicroRNAs/antagonistas & inibidores , MicroRNAs/sangue , Anotação de Sequência Molecular , Análise Multivariada , Proteínas de Neoplasias/sangue , Prognóstico , Curva ROC , Recidiva , Transdução de Sinais , Análise de Sobrevida , Quinases da Família src/sangue , Quinases da Família src/genética
2.
BMC Plant Biol ; 19(1): 367, 2019 Aug 20.
Artigo em Inglês | MEDLINE | ID: mdl-31429697

RESUMO

BACKGROUND: Adaptation to abiotic stresses is crucial for the survival of perennial plants in a natural environment. However, very little is known about the underlying mechanisms. Here, we adopted a liquid culture system to investigate plant adaptation to repeated salt stress in Populus trees. RESULTS: We first evaluated phenotypic responses and found that plants exhibit better stress tolerance after pre-treatment of salt stress. Time-course RNA sequencing (RNA-seq) was then performed to profile changes in gene expression over 12 h of salt treatments. Analysis of differentially expressed genes (DEGs) indicated that significant transcriptional reprogramming and adaptation to repeated salt treatment occurred. Clustering analysis identified two modules of co-expressed genes that were potentially critical for repeated salt stress adaptation, and one key module for salt stress response in general. Gene Ontology (GO) enrichment analysis identified pathways including hormone signaling, cell wall biosynthesis and modification, negative regulation of growth, and epigenetic regulation to be highly enriched in these gene modules. CONCLUSIONS: This study illustrates phenotypic and transcriptional adaptation of Populus trees to salt stress, revealing novel gene modules which are potentially critical for responding and adapting to salt stress.


Assuntos
Adaptação Fisiológica/genética , Regulação da Expressão Gênica de Plantas , Populus/genética , Estresse Salino/genética , Transcrição Genética , Ontologia Genética , Redes Reguladoras de Genes , Genoma de Planta , Fenótipo , Populus/fisiologia , RNA de Plantas , Análise de Sequência de RNA , Transcriptoma , Árvores/genética , Árvores/fisiologia
3.
Zhonghua Yi Xue Yi Chuan Xue Za Zhi ; 36(8): 769-772, 2019 Aug 10.
Artigo em Chinês | MEDLINE | ID: mdl-31400124

RESUMO

OBJECTIVE: To explore the characteristics of differentially methylated genes and gene ontology associated with neural tube defects (NTDs). METHODS: Twelve subjects from 3 NTDs pedigrees were enrolled. Patients with NTDs have served as the case group, while their family members with normal phenotypes have served as the control group. Genomic DNA was extracted from peripheral venous blood samples of the families and used for DNA methylation analysis. Pairwise comparison was carried out primarily for patient-offspring pairs, and co-segregation of methylation pattern with NTDs was analyzed. Pathway related to differentially methylated genes was predicted with DAVID software. RESULTS: Pairwise comparison indicated that VTRNA2-1 was the only gene in which all CpG sites were methylated. Co-segregation of VTRNA2-1 gene methylation with NTDs was found in all pedigrees. Pathways of hypermethylated genes included plasma membrane component, regulation of cellular protein metabolic process, and regulation of actin cytoskeleton organization, while the pathways of hypomethylated genes have included transcription regulator activity, cell adhesion, and neuronal differentiation. CONCLUSION: Methylation of the VTRNA2-1 gene has co-segregated with NTDs in the studied pedigrees. The pathways of differentially methylated genes has involved with mechanism of neural tube development.


Assuntos
Metilação de DNA , MicroRNAs/genética , Defeitos do Tubo Neural/genética , Ilhas de CpG , Ontologia Genética , Humanos , Linhagem
4.
Hum Genet ; 138(10): 1171-1182, 2019 Oct.
Artigo em Inglês | MEDLINE | ID: mdl-31367973

RESUMO

Age-related macular degeneration (AMD) is a leading cause of blindness in the world. While dozens of independent genomic variants are associated with AMD, about one-third of AMD heritability is still unexplained. To identify novel variants and loci for AMD, we analyzed Illumina HumanExome chip data from 87 Amish individuals with early or late AMD, 79 unaffected Amish individuals, and 15 related Amish individuals with unknown AMD affection status. We retained 37,428 polymorphic autosomal variants across 175 samples for association and linkage analyses. After correcting for multiple testing (n = 37,428), we identified four variants significantly associated with AMD: rs200437673 (LCN9, p = 1.50 × 10-11), rs151214675 (RTEL1, p = 3.18 × 10-8), rs140250387 (DLGAP1, p = 4.49 × 10-7), and rs115333865 (CGRRF1, p = 1.05 × 10-6). These variants have not been previously associated with AMD and are not in linkage disequilibrium with the 52 known AMD-associated variants reported by the International AMD Genomics Consortium based on physical distance. Genome-wide significant linkage peaks were observed on chromosomes 8q21.11-q21.13 (maximum recessive HLOD = 4.03) and 18q21.2-21.32 (maximum dominant HLOD = 3.87; maximum recessive HLOD = 4.27). These loci do not overlap with loci previously linked to AMD. Through gene ontology enrichment analysis with ClueGO in Cytoscape, we determined that several genes in the 1-HLOD support interval of the chromosome 8 locus are involved in fatty acid binding and triglyceride catabolic processes, and the 1-HLOD support interval of the linkage region on chromosome 18 is enriched in genes that participate in serine-type endopeptidase inhibitor activity and the positive regulation of epithelial to mesenchymal transition. These results nominate novel variants and loci for AMD that require further investigation.


Assuntos
Amish/genética , Predisposição Genética para Doença , Variação Genética , Degeneração Macular/genética , Locos de Características Quantitativas , Idoso , Idoso de 80 Anos ou mais , Alelos , Biologia Computacional , Feminino , Frequência do Gene , Ontologia Genética , Estudos de Associação Genética , Ligação Genética , Humanos , Indiana , Masculino , Ohio , Linhagem
5.
Medicine (Baltimore) ; 98(27): e16240, 2019 Jul.
Artigo em Inglês | MEDLINE | ID: mdl-31277141

RESUMO

Osteoarthritis (OA), also known as degenerative arthritis, affects millions of people all over the world. OA occurs when the cartilage wears down over time, which is a worldwide complaint. The aim of this study was to screen and verify hub genes involved in developmental chondrogenesis as well as to explore potential molecular mechanisms.The expression profiles of GSE51812 were downloaded from the Gene Expression Omnibus (GEO) database, which contained 9 samples, including 6-week pre-chondrocytes (PC, 6 independent specimens) and 17-week fetal periarticular resting chondrocytes (RC, 3 independent specimens). The raw data were integrated to obtain differentially expressed genes (DEGs) and were further analyzed with bioinformatics analysis. The Gene Ontology (GO) and pathway enrichment of DEGs were conducted via Database for Annotation, Visualization, and Integrated Discovery (DAVID). The protein-protein interaction (PPI) networks of the DEGs were constructed based on data from the search tool for the retrieval of interacting genes (STRING) database. An intersection figure was provided to show the relationship between the DEGs identified in this study and genes from any existed related studies.A total of 9486 DEGs, including 4821 upregulated genes and 4665 downregulated genes were observed. The top 30 developmental chondrogenesis associated genes were identified, including matrix metalloproteinase (MMP)1, MMP3, MMP13, prostaglandin-endoperoxide synthase 2 (PTGS2), and so on. The majority of DEGs, including PTGS2, CCL20, CHI3L1, LIF, CXCL8, and CXCL12 were intensively enriched in immune-associated biological process terms, including inflammatory, and immune responses. Additionally, the majority of DEGs were mainly enriched in NF-kappa ß (NF-kß) signaling pathway and tumor necrosis factor (TNF) signaling pathway. The hub genes identified in STRING and Cytoscape databases included MMP1, MMP3, MMP13, PTGS2 and so on. Among the top 30 upregulated and downregulated DEGs, there were 15 genes have been reported to be associated with OA or developmental chondrogenesis.This large scale gene expression study observed genes associated with human developmental chondrogenesis and their relative GO function, which may offer opportunities for the research for cartilage tissue engineering and novel insights into the prevention of OA in the near future.


Assuntos
Condrogênese/genética , Biologia Computacional/métodos , Perfilação da Expressão Gênica/métodos , Regulação da Expressão Gênica , Osteoartrite/genética , Biomarcadores/metabolismo , Bases de Dados Genéticas , Ontologia Genética , Redes Reguladoras de Genes , Humanos , Osteoartrite/patologia , Transdução de Sinais
6.
Medicine (Baltimore) ; 98(27): e16269, 2019 Jul.
Artigo em Inglês | MEDLINE | ID: mdl-31277149

RESUMO

Esophageal squamous cell carcinoma (ESCC) is a malignancy that severely threatens human health and carries a high incidence rate and a low 5-year survival rate. MicroRNAs (miRNAs) are commonly accepted as a key regulatory function in human cancer, but the potential regulatory mechanisms of miRNA-mRNA related to ESCC remain poorly understood.The GSE55857, GSE43732, and GSE6188 miRNA microarray datasets and the gene expression microarray datasets GSE70409, GSE29001, and GSE20347 were downloaded from Gene Expression Omnibus databases. The differentially expressed miRNAs (DEMs) and differentially expressed genes (DEGs) were obtained using GEO2R. Gene ontology (GO) and the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis for DEGs were performed by Database for Annotation, Visualization and Integrated Discovery (DAVID). A protein-protein interaction (PPI) network and functional modules were established using the STRING database and were visualized by Cytoscape. Kaplan-Meier analysis was constructed based on The Cancer Genome Atlas (TCGA) database.In total, 26 DEMs and 280 DEGs that consisted of 96 upregulated and 184 downregulated genes were screened out. A functional enrichment analysis showed that the DEGs were mainly enriched in the ECM-receptor interaction and cytochrome P450 metabolic pathways. In addition, MMP9, PCNA, TOP2A, MMP1, AURKA, MCM2, IVL, CYP2E1, SPRR3, FOS, FLG, TGM1, and CYP2C9 were considered to be hub genes owing to high degrees in the PPI network. MiR-183-5p was with the highest connectivity target genes in hub genes. FOS was predicted to be a common target gene of the significant DEMs. Hsa-miR-9-3p, hsa-miR-34c-3p and FOS were related to patient prognosis and higher expression of the transcripts were associated with a poor OS in patients with ESCC.Our study revealed the miRNA-mediated hub genes regulatory network as a model for predicting the molecular mechanism of ESCC. This may provide novel insights for unraveling the pathogenesis of ESCC.


Assuntos
Biologia Computacional/métodos , Neoplasias Esofágicas/genética , Carcinoma de Células Escamosas do Esôfago/genética , Perfilação da Expressão Gênica/métodos , Regulação Neoplásica da Expressão Gênica , MicroRNAs/genética , RNA Neoplásico/genética , Bases de Dados Genéticas , Neoplasias Esofágicas/metabolismo , Carcinoma de Células Escamosas do Esôfago/metabolismo , Ontologia Genética , Redes Reguladoras de Genes , Humanos , Análise em Microsséries
7.
Medicine (Baltimore) ; 98(27): e16277, 2019 Jul.
Artigo em Inglês | MEDLINE | ID: mdl-31277155

RESUMO

Kaposi sarcoma (KS) is an endothelial tumor etiologically related to Kaposi sarcoma herpesvirus (KSHV) infection. The aim of our study was to screen out candidate genes of KSHV infected endothelial cells and to elucidate the underlying molecular mechanisms by bioinformatics methods. Microarray datasets GSE16354 and GSE22522 were downloaded from Gene Expression Omnibus (GEO) database. the differentially expressed genes (DEGs) between endothelial cells and KSHV infected endothelial cells were identified. And then, functional enrichment analyses of gene ontology (GO) and Kyoto encyclopedia of genes and genomes (KEGG) pathway analysis were performed. After that, Search Tool for the Retrieval of Interacting Genes (STRING) was used to investigate the potential protein-protein interaction (PPI) network between DEGs, Cytoscape software was used to visualize the interaction network of DEGs and to screen out the hub genes. A total of 113 DEGs and 11 hub genes were identified from the 2 datasets. GO enrichment analysis revealed that most of the DEGs were enrichen in regulation of cell proliferation, extracellular region part and sequence-specific DNA binding; KEGG pathway enrichments analysis displayed that DEGs were mostly enrichen in cell cycle, Jak-STAT signaling pathway, pathways in cancer, and Insulin signaling pathway. In conclusion, the present study identified a host of DEGs and hub genes in KSHV infected endothelial cells which may serve as potential key biomarkers and therapeutic targets, helping us to have a better understanding of the molecular mechanism of KS.


Assuntos
Biomarcadores Tumorais/genética , Biologia Computacional/métodos , Células Endoteliais/metabolismo , Regulação Neoplásica da Expressão Gênica , Herpesvirus Humano 8 , Mapas de Interação de Proteínas/genética , Sarcoma de Kaposi/genética , Biomarcadores Tumorais/biossíntese , DNA de Neoplasias/genética , Células Endoteliais/patologia , Células Endoteliais/virologia , Perfilação da Expressão Gênica/métodos , Ontologia Genética , Humanos , Mapeamento de Interação de Proteínas/métodos , Sarcoma de Kaposi/metabolismo , Sarcoma de Kaposi/virologia
8.
Gene ; 714: 143984, 2019 Sep 25.
Artigo em Inglês | MEDLINE | ID: mdl-31330237

RESUMO

Intrinsically disordered proteins (IDPs) are highly abundant in eukaryotic proteomes and involved in key biological and cellular processes. Although some resources of disordered protein predictions are available from animal and plant proteomes, those related to cereals are largely unknown. Here, we present an overview of IDPomes from Oryza sativa, Zea mays, Sorghum bicolor and Brachypodium distachyon. The work includes a comparative analysis with the model plant Arabidopsis thaliana. The data show that the intrinsic disorder content increases with the proteome size. Gene Ontology analysis reveals that IDPs in the studied species are involved mainly in regulation of cellular and metabolic processes and responses to stimulus. Our findings strongly suggest that higher plants may use common cellular and regulatory mechanisms for adaptation to various environmental constraints.


Assuntos
Grão Comestível/genética , Proteínas Intrinsicamente Desordenadas/genética , Adaptação Biológica/genética , Arabidopsis/genética , Brachypodium/genética , Ontologia Genética , Genômica/métodos , Oryza/genética , Proteínas de Plantas/genética , Proteoma/genética , Sorghum/genética , Zea mays/genética
9.
Gene ; 712: 143962, 2019 Sep 05.
Artigo em Inglês | MEDLINE | ID: mdl-31288057

RESUMO

Veratrum nigrum is protected plant of Melanthiaceae family, able to synthetize unique steroidal alkaloids important for pharmacy. Transcriptomes from leaves, stems and rhizomes of in vitro maintained V. nigrum plants were sequenced and annotated for genes and markers discovery. Sequencing of samples derived from the different organs resulted in a total of 108,511 contigs with a mean length of 596 bp. Transcripts derived from leaf and stalk were annotated at 28%, and 38% in Nr nucleotide database, respectively. The sequencing revealed 949 unigenes related with lipid metabolism, including 73 transcripts involved in steroids and genus-specific steroid alkaloids biosynthesis. Additionally, 3203 candidate SSRs markers we identified in unigenes with average density of one SSR locus every 6.2 kb sequence. Unraveling of biochemical machinery of the pathway responsible for steroidal alkaloids will open possibility to design and optimize biotechnological process. The transcriptomic data provide valuable resources for biochemical, molecular genetics, comparative transcriptomics, functional genomics, ecological and evolutionary studies of V. nigrum.


Assuntos
Alcaloides/biossíntese , Regulação da Expressão Gênica de Plantas , Esteroides/biossíntese , Transcriptoma , Veratrum/metabolismo , Mapeamento de Sequências Contíguas , DNA Complementar/metabolismo , Biblioteca Gênica , Ontologia Genética , Marcadores Genéticos , Sequenciamento de Nucleotídeos em Larga Escala , Repetições de Microssatélites , Anotação de Sequência Molecular , Análise de Sequência com Séries de Oligonucleotídeos , Folhas de Planta/metabolismo , Proteínas de Plantas/metabolismo , Raízes de Plantas/metabolismo , Análise de Sequência de RNA
10.
Xi Bao Yu Fen Zi Mian Yi Xue Za Zhi ; 35(6): 481-490, 2019 Jun.
Artigo em Chinês | MEDLINE | ID: mdl-31292051

RESUMO

Objective To identify key pathogenic differentially expressed genes and pathways in neutrophils of patients with sepsis. Methods Firstly, we screened and downloaded a total of 143 experimental and 65 control neutrophil samples from Gene Expression Omnibus (GEO) gene expression profile datasets GSE6535, GSE49755, GSE49756, GSE49757. Secondly, we identified differentially expressed genes (DEGs) via corresponding packages in R software. Finally, through intersecting DEGs from every two datasets of those four GEO datasets, we had got 93 DEGs as candidate DEGs, and subsequently conducted gene ontology and pathway enrichment analysis, PPI network analysis and hub gene analysis, using multiple methods containing DAVID, STRING, Cytoscape Apps such as ReactomeFIPlugIn and Cytohubba. Results We had identified most significant hub DEGs, including TLR2, SRC, MMP9, IL1R2, ARRB1, IRAK3, IL18R1, IL18RAP, and STK17B. Besides, we found that some pathogenicity-related pathways and immune-related biological processes were involved in sepsis. The hub genes found by this study might cause sepsis through a variety of signaling pathways and be implicate in the pathogenesis of sepsis. Conclusion These genes may cause the onset and development of sepsis through a variety of signaling pathways.


Assuntos
Biologia Computacional , Neutrófilos/citologia , Sepse/genética , Perfilação da Expressão Gênica , Ontologia Genética , Humanos , Transdução de Sinais , Transcriptoma
11.
Parasit Vectors ; 12(1): 348, 2019 Jul 12.
Artigo em Inglês | MEDLINE | ID: mdl-31300064

RESUMO

BACKGROUND: In the last decade, resistance to antimonials has become a serious problem due to the emergence of drug-resistant strains. Therefore, understanding the mechanisms used by Leishmania parasites to survive under drug pressure is essential, particularly for species of medical-veterinary importance such as L. amazonensis. METHODS: Here, we used RNA-seq technology to analyse transcriptome profiles and identify global changes in gene expression between antimony-resistant and -sensitive L. amazonensis promastigotes. RESULTS: A total of 723 differentially expressed genes were identified between resistant and sensitive lines. Comparative transcriptomic analysis revealed that genes encoding proteins involved in metabolism (fatty acids) and stress response, as well as those associated with antimony resistance in other Leishmania species, were upregulated in the antimony-resistant line. Most importantly, we observed upregulation of genes encoding autophagy proteins, suggesting that in the presence of trivalent stibogluconate (SbIII) L. amazonensis can activate these genes either as a survival strategy or to induce cell death, as has been observed in other parasites. CONCLUSIONS: This work identified global transcriptomic changes in an in vitro-adapted strain in response to SbIII. Our results provide relevant information to continue understanding the mechanism used by parasites of the subgenus Leishmania (L. amazonensis) to generate an antimony-resistant phenotype.


Assuntos
Gluconato de Antimônio e Sódio/farmacologia , Antiprotozoários/farmacologia , Resistência a Medicamentos/genética , Leishmania/efeitos dos fármacos , Leishmania/genética , Transcriptoma , DNA de Protozoário/genética , Perfilação da Expressão Gênica , Ontologia Genética , Fenótipo , Análise de Sequência de RNA , Regulação para Cima
12.
BMC Bioinformatics ; 20(Suppl 8): 284, 2019 Jun 10.
Artigo em Inglês | MEDLINE | ID: mdl-31182005

RESUMO

BACKGROUND: Single cell RNA sequencing (scRNA-seq) is applied to assay the individual transcriptomes of large numbers of cells. The gene expression at single-cell level provides an opportunity for better understanding of cell function and new discoveries in biomedical areas. To ensure that the single-cell based gene expression data are interpreted appropriately, it is crucial to develop new computational methods. RESULTS: In this article, we try to re-construct a neural network based on Gene Ontology (GO) for dimension reduction of scRNA-seq data. By integrating GO with both unsupervised and supervised models, two novel methods are proposed, named GOAE (Gene Ontology AutoEncoder) and GONN (Gene Ontology Neural Network) respectively. CONCLUSIONS: The evaluation results show that the proposed models outperform some state-of-the-art dimensionality reduction approaches. Furthermore, incorporating with GO, we provide an opportunity to interpret the underlying biological mechanism behind the neural network-based model.


Assuntos
Ontologia Genética , Redes Neurais (Computação) , Análise de Sequência de RNA/métodos , Análise de Célula Única/métodos , Algoritmos , Animais , Sequência de Bases , Análise por Conglomerados , Bases de Dados Genéticas , Humanos , Camundongos , RNA/genética
13.
BMC Bioinformatics ; 20(1): 308, 2019 Jun 10.
Artigo em Inglês | MEDLINE | ID: mdl-31182027

RESUMO

BACKGROUND: Although various machine learning-based predictors have been developed for estimating protein-protein interactions, their performances vary with dataset and species, and are affected by two primary aspects: choice of learning algorithm, and the representation of protein pairs. To improve the performance of predicting protein-protein interactions, we exploit the synergy of multiple learning algorithms, and utilize the expressiveness of different protein-pair features. RESULTS: We developed a stacked generalization scheme that integrates five learning algorithms. We also designed three types of protein-pair features based on the physicochemical properties of amino acids, gene ontology annotations, and interaction network topologies. When tested on 19 published datasets collected from eight species, the proposed approach achieved a significantly higher or comparable overall performance, compared with seven competitive predictors. CONCLUSION: We introduced an ensemble learning approach for PPI prediction that integrated multiple learning algorithms and different protein-pair representations. The extensive comparisons with other state-of-the-art prediction tools demonstrated the feasibility and superiority of the proposed method.


Assuntos
Algoritmos , Mapeamento de Interação de Proteínas/métodos , Animais , Área Sob a Curva , Bases de Dados de Proteínas , Ontologia Genética , Humanos , Anotação de Sequência Molecular
14.
Parasit Vectors ; 12(1): 285, 2019 Jun 04.
Artigo em Inglês | MEDLINE | ID: mdl-31164143

RESUMO

BACKGROUND: Apicomplexan protozoans of the genus Eimeria cause coccidiosis, one of the most economically relevant parasitic diseases in chickens. The lack of a complete understanding of molecular mechanisms in the host-parasite interaction limits the development of effective control measures. In the present study, RNA sequencing (RNA-Seq) was applied to investigate the host mRNA profiles of the cecal mucosa collected at day 5 post-infection with Eimeria maxima (EM). RESULTS: Total RNA from cecal samples of the uninfected naïve control and the EM groups was used to make libraries, generating 354,924,372 and 356,229,250 usable reads, respectively, which were assembled into a total of 386,088 high-quality unigenes (transcripts) in Trinity software. RNA-Seq analysis of cecal samples in the two groups revealed 332 upregulated and 363 downregulated genes with significant differences (P ≤ 0.05), including several significant immune-related gene families, such as the major histocompatibility complex (MHC) class I alpha chain, granzyme A and immunoglobulin subtype genes among upregulated differentially expressed genes. In addition, a total of 60 clusters of differentiation (CD) molecular genes and 570 novel genes were found. The completeness of the assembled transcriptome was further assessed using the Kyoto Encyclopedia of Genes and Genomes (KEGG) database, Gene ontology (GO), eggNOG and CAZy for gene annotation. The broad gene categories represented by the highly differentiated host genes suggested enrichment in immune responses, and downregulation in the metabolic pathway, MARK signaling pathway, vascular smooth muscle contraction, and proteins processing in endoplasmic reticulum after EM infection. CONCLUSIONS: Eimeria maxima induced statistically significant differences in the cecal mucosal gene expression of infected chickens. These findings provide new insights into the host-parasite interaction and enhance our understanding of the molecular mechanism of avian coccidiosis.


Assuntos
Ceco/parasitologia , Galinhas/parasitologia , Coccidiose/veterinária , Eimeria/patogenicidade , Perfilação da Expressão Gênica , Membrana Mucosa/parasitologia , Animais , Expressão Gênica , Regulação da Expressão Gênica , Ontologia Genética , Doenças das Aves Domésticas/parasitologia , RNA Mensageiro
15.
BMC Bioinformatics ; 20(1): 346, 2019 Jun 17.
Artigo em Inglês | MEDLINE | ID: mdl-31208321

RESUMO

BACKGROUND: Acetylation on lysine is a widespread post-translational modification which is reversible and plays a crucial role in some biological activities. To better understand the mechanism, it is necessary to identify acetylation sites in proteins accurately. Computational methods are popular because they are more convenient and faster than experimental methods. In this study, we proposed a new computational method to predict acetylation sites in human by combining sequence features and structural features including physicochemical property (PCP), position specific score matrix (PSSM), auto covariation (AC), residue composition (RC), secondary structure (SS) and accessible surface area (ASA), which can well characterize the information of acetylated lysine sites. Besides, a two-step feature selection was applied, which combined mRMR and IFS. It finally trained a cascade classifier based on SVM, which successfully solved the imbalance between positive samples and negative samples and covered all negative sample information. RESULTS: The performance of this method is measured with a specificity of 72.19% and a sensibility of 76.71% on independent dataset which shows that a cascade SVM classifier outperforms single SVM classifier. CONCLUSIONS: In addition to the analysis of experimental results, we also made a systematic and comprehensive analysis of the acetylation data.


Assuntos
Biologia Computacional/métodos , Máquina de Vetores de Suporte , Acetilação , Sequência de Aminoácidos , Animais , Bases de Dados de Proteínas , Ontologia Genética , Humanos , Lisina/química , Camundongos , Anotação de Sequência Molecular , Matrizes de Pontuação de Posição Específica , Processamento de Proteína Pós-Traducional , Estrutura Secundária de Proteína , Proteínas/química , Proteínas/metabolismo , Ratos
16.
BMC Bioinformatics ; 20(1): 339, 2019 Jun 17.
Artigo em Inglês | MEDLINE | ID: mdl-31208324

RESUMO

BACKGROUND: In the era of precision oncology and publicly available datasets, the amount of information available for each patient case has dramatically increased. From clinical variables and PET-CT radiomics measures to DNA-variant and RNA expression profiles, such a wide variety of data presents a multitude of challenges. Large clinical datasets are subject to sparsely and/or inconsistently populated fields. Corresponding sequencing profiles can suffer from the problem of high-dimensionality, where making useful inferences can be difficult without correspondingly large numbers of instances. In this paper we report a novel deployment of machine learning techniques to handle data sparsity and high dimensionality, while evaluating potential biomarkers in the form of unsupervised transformations of RNA data. We apply preprocessing, MICE imputation, and sparse principal component analysis (SPCA) to improve the usability of more than 500 patient cases from the TCGA-HNSC dataset for enhancing future oncological decision support for Head and Neck Squamous Cell Carcinoma (HNSCC). RESULTS: Imputation was shown to improve prognostic ability of sparse clinical treatment variables. SPCA transformation of RNA expression variables reduced runtime for RNA-based models, though changes to classifier performance were not significant. Gene ontology enrichment analysis of gene sets associated with individual sparse principal components (SPCs) are also reported, showing that both high- and low-importance SPCs were associated with cell death pathways, though the high-importance gene sets were found to be associated with a wider variety of cancer-related biological processes. CONCLUSIONS: MICE imputation allowed us to impute missing values for clinically informative features, improving their overall importance for predicting two-year recurrence-free survival by incorporating variance from other clinical variables. Dimensionality reduction of RNA expression profiles via SPCA reduced both computation cost and model training/evaluation time without affecting classifier performance, allowing researchers to obtain experimental results much more quickly. SPCA simultaneously provided a convenient avenue for consideration of biological context via gene ontology enrichment analysis.


Assuntos
Bases de Dados Genéticas , Aprendizado de Máquina , Carcinoma de Células Escamosas de Cabeça e Pescoço/genética , Algoritmos , Área Sob a Curva , Ontologia Genética , Humanos , Análise de Componente Principal , RNA Neoplásico/genética , RNA Neoplásico/metabolismo
17.
BMC Bioinformatics ; 20(1): 338, 2019 Jun 17.
Artigo em Inglês | MEDLINE | ID: mdl-31208327

RESUMO

BACKGROUND: The advent of high-throughput experimental techniques paved the way to genome-wide computational analysis and predictive annotation studies. When considering the joint annotation of a large set of related entities, like all proteins of a certain genome, many candidate annotations could be inconsistent, or very unlikely, given the existing knowledge. A sound predictive framework capable of accounting for this type of constraints in making predictions could substantially contribute to the quality of machine-generated annotations at a genomic scale. RESULTS: We present OCELOT, a predictive pipeline which simultaneously addresses functional and interaction annotation of all proteins of a given genome. The system combines sequence-based predictors for functional and protein-protein interaction (PPI) prediction with a consistency layer enforcing (soft) constraints as fuzzy logic rules. The enforced rules represent the available prior knowledge about the classification task, including taxonomic constraints over each GO hierarchy (e.g. a protein labeled with a GO term should also be labeled with all ancestor terms) as well as rules combining interaction and function prediction. An extensive experimental evaluation on the Yeast genome shows that the integration of prior knowledge via rules substantially improves the quality of the predictions. The system largely outperforms GoFDR, the only high-ranking system at the last CAFA challenge with a readily available implementation, when GoFDR is given access to intra-genome information only (as OCELOT), and has comparable or better results (depending on the hierarchy and performance measure) when GoFDR is allowed to use information from other genomes. Our system also compares favorably to recent methods based on deep learning.


Assuntos
Genoma Fúngico , Genômica/métodos , Anotação de Sequência Molecular , Proteínas/genética , Saccharomyces cerevisiae/genética , Algoritmos , Tomada de Decisões , Ontologia Genética
18.
Int J Nanomedicine ; 14: 3297-3309, 2019.
Artigo em Inglês | MEDLINE | ID: mdl-31190794

RESUMO

Background: Cardiovascular disease (CVD) is the leading cause of mortality all over the world. Vascular stents are used to ameliorate vascular stenosis and recover vascular function. The application of nanotubular coatings has been confirmed to promote endothelial cell (EC) proliferation and function. However, the regulatory mechanisms involved in cellular responses to the nanotubular topography have not been defined. In the present study, a microarray analysis was performed to explore the expression patterns of long noncoding RNAs (lncRNAs) in human coronary artery endothelial cells (HCAECs) that were differentially expressed in response to nitinol-based nanotubular coatings. Materials and methods: First, anodization was performed to synthesize nitinol-based nanotubular coatings. Then, HCAECs were cultured on the samples for 24 h to evaluate cell cytoskeleton organization. Next, total RNA was extracted and synthesized into cRNA, which was hybridized onto the microarray. GO analysis and KEGG pathway analysis were performed to investigate the roles of differentially expressed messenger RNAs (mRNAs). Quantitative real-time reverse-transcription polymerase chain reaction (qRT-PCR) was performed to validate the expression of randomly selected lncRNAs. Coexpression networks were created to identify the interactions among lncRNAs and the protein-coding genes involved in nanotubular topography-induced biological and molecular pathways. Independent Student's t-test was applied for comparisons between two groups with statistical significance set at p<0.05. Results: 1085 lncRNAs and 227 mRNAs were significantly differentially expressed in the nitinol-based nanotubular coating group. Bioinformatics analysis revealed that extracellular matrix receptor interactions and cell adhesion molecules play critical roles in the sensing of nitinol-based nanotubular coatings by HCAECs. The TATA-binding protein (TBP) and TBP-associated transfactor 1 (TAF1) are important molecules in EC responses to substrate topography. Conclusion: This study suggests that nanotubular substrate topography regulates ECs by differentially expressed lncRNAs involved extracellular matrix receptor interactions and cell adhesion molecules.


Assuntos
Ligas/farmacologia , Materiais Revestidos Biocompatíveis/farmacologia , Vasos Coronários/citologia , Células Endoteliais/metabolismo , Regulação da Expressão Gênica/efeitos dos fármacos , Nanotubos/química , RNA Longo não Codificante/genética , Proliferação de Células/efeitos dos fármacos , Citoesqueleto/efeitos dos fármacos , Citoesqueleto/metabolismo , Células Endoteliais/efeitos dos fármacos , Perfilação da Expressão Gênica , Ontologia Genética , Redes Reguladoras de Genes/efeitos dos fármacos , Humanos , MicroRNAs/genética , MicroRNAs/metabolismo , Análise em Microsséries , Nanotubos/ultraestrutura , Fenótipo , RNA Longo não Codificante/metabolismo , RNA Mensageiro/genética , RNA Mensageiro/metabolismo , Reação em Cadeia da Polimerase em Tempo Real , Fatores de Transcrição/metabolismo
19.
Biochemistry (Mosc) ; 84(4): 380-389, 2019 Apr.
Artigo em Inglês | MEDLINE | ID: mdl-31228929

RESUMO

MicroRNAs (miRNAs), a family of ∼22-nucleotide non-coding single-stranded RNA molecules, are considered as key post-transcriptional regulators of gene expression that regulate various biological processes in living organism. Many miRNAs have been identified in animals; however, few have been reported in Hynobiidae species. The present study is aimed to identify a full repertoire of miRNAs in Batrachuperus yenyuanensis (Yenyuan stream salamander), which would significantly increase our knowledge of miRNAs in amphibians. A small RNA library was constructed from B. yenyuanensis and sequenced using deep sequencing. As a result, 1,717,751 clean reads were obtained, representing 356 known and 80 novel miRNAs. Additionally, expression levels of eight randomly selected miRNAs in B. yenyuanensis were confirmed using the stem-loop quantitative real-time reverse transcription PCR. In addition, 13,972 targets were predicted for these identified miRNAs, although the physiological functions of many of these targets remain unknown. Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis suggested that the predicted targets are involved in a variety of physiological regulatory functions in B. yenyuanensis. These results provide useful information for further research on the miRNAs involved in the growth and development of B. yenyuanensis, as well as adaptation of this species to its high-altitude habitats.


Assuntos
MicroRNAs/metabolismo , Urodelos/genética , Animais , Sequência de Bases , Biblioteca Gênica , Ontologia Genética , Sequenciamento de Nucleotídeos em Larga Escala , Masculino , MicroRNAs/análise , MicroRNAs/química , Reação em Cadeia da Polimerase , Análise de Sequência de RNA , Testículo/metabolismo , Urodelos/metabolismo
20.
Food Chem Toxicol ; 131: 110529, 2019 Sep.
Artigo em Inglês | MEDLINE | ID: mdl-31150784

RESUMO

The health promoting effects of extra virgin olive oil (EVOO) relate to its unique repertoire of phenolic compounds. Here, we used a chemoinformatics approach to computationally identify endogenous ligands and assign putative biomolecular targets to oleacein, one of the most abundant secoiridoids in EVOO. Using a structure-based virtual profiling software tool and reference databases containing more than 9000 binding sites protein cavities, we identified 996 putative oleacein targets involving more than 700 proteins. We subsequently identified the high-level functions of oleacein in terms of biomolecular interactions, signaling pathways, and protein-protein interaction (PPI) networks. Delineation of the oleacein target landscape revealed that the most significant modules affected by oleacein were associated with metabolic processes (e.g., glucose and lipid metabolism) and chromatin-modifying enzymatic activities (i.e., histone post-translational modifications). We experimentally confirmed that, in a low-micromolar physiological range (<20 µmol/l), oleacein was capable of inhibiting the catalytic activities of predicted metabolic and epigenetic targets including nicotinamide N-methyltransferase, ATP-citrate lyase, lysine-specific demethylase 6A, and N-methyltransferase 4. Our computational de-orphanization of oleacein provides new mechanisms through which EVOO biophenols might operate as chemical prototypes capable of modulating the biologic machinery of healthy aging.


Assuntos
Aldeídos/metabolismo , Fenóis/metabolismo , Proteômica/métodos , ATP Citrato (pro-S)-Liase/química , ATP Citrato (pro-S)-Liase/metabolismo , Aldeídos/química , Domínio Catalítico , Ensaios Enzimáticos , Epigenômica/métodos , Ontologia Genética/estatística & dados numéricos , Histona Desmetilases/química , Histona Desmetilases/metabolismo , Humanos , Informática/métodos , Metiltransferases/química , Metiltransferases/metabolismo , Simulação de Acoplamento Molecular , Nicotinamida N-Metiltransferase/química , Nicotinamida N-Metiltransferase/metabolismo , Olea/química , Azeite de Oliva/química , Fenóis/química , Ligação Proteica , Mapeamento de Interação de Proteínas , Software
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