RESUMO
BACKGROUND: A heterozygous-enriched region (HER) is a genomic region with high variability generated by factors such as balancing selection, introgression, and admixture processes. In this study, we evaluated the genomic background of HERs and the impact of different parameters (i.e., minimum number of SNPs in a HER, maximum distance between two consecutive SNPs, minimum length of a HER, maximum number of homozygous allowed in a HER) and scenarios [i.e., different SNP panel densities and whole-genome sequence (WGS)] on the detection of HERs. We also compared HERs characterized in Holstein cattle with those identified in Angus, Jersey, and Norwegian Red cattle using WGS data. RESULTS: The parameters used for the identification of HERs significantly impact their detection. The maximum distance between two consecutive SNPs did not impact HERs detection as the same average of HERs (269.31 ± 787.00) was observed across scenarios. However, the minimum number of markers, maximum homozygous markers allowed inside a HER, and the minimum length size impacted HERs detection. For the minimum length size, the 10 Kb scenario showed the highest average number of HERs (1,364.69 ± 1,483.64). The number of HERs decreased as the minimum number of markers increased (621.31 ± 1,271.83 to 6.08 ± 21.94), and an opposite pattern was observed for the maximum homozygous markers allowed inside a HER (54.47 ± 195.51 to 494.89 ± 1,169.35). Forty-five HER islands located in 23 chromosomes with high Tajima's D values and differential among the observed and estimated heterozygosity were detected in all evaluated scenarios, indicating their ability to potentially detect regions under balancing selection. In total, 3,440 markers and 28 genes previously related to fertility (e.g., TP63, ZSCAN23, NEK5, ARHGAP44), immunity (e.g., TP63, IGC, ARHGAP44), residual feed intake (e.g., MAYO9A), stress sensitivity (e.g., SERPINA6), and milk fat percentage (e.g., NOL4) were identified. When comparing HER islands among breeds, there were substantial overlaps between Holstein with Angus (95.3%), Jersey (94.3%), and Norwegian Red cattle (97.1%), indicating conserved HER across taurine breeds. CONCLUSIONS: The detection of HERs varied according to the parameters used, but some HERs were consistently identified across all scenarios. Heterozygous genotypes observed across generations and breeds appear to be conserved in HERs. The results presented could serve as a guide for defining HERs detection parameters and further investigating their biological roles in future studies.
Assuntos
Heterozigoto , Polimorfismo de Nucleotídeo Único , Sequenciamento Completo do Genoma , Animais , Bovinos/genética , Sequenciamento Completo do Genoma/métodos , Análise de Sequência com Séries de Oligonucleotídeos , Genoma , Genômica/métodosRESUMO
Among healthcare-associated infections that can affect a critically ill patient, bloodstream infections are one of the most frequent causes of mortality, especially in hospitalized patients. The objective of this work is to evaluate the performance of the XGEN Multi Sepsis Flow Chip for the rapid diagnosis of bloodstream infections compared with conventional tests. In total, 101 positive blood culture samples were included, and the results obtained by the phenotypic conventional method (culture with susceptibility profile) were compared with results obtained by the XGEN Multi Sepsis Flow Chip. This molecular assay allows the simultaneous detection of the main bloodstream infection pathogens, and their most common antibiotic resistance markers in a short period of time. It was possible to observe substantial agreement between the methods for identifying the genus of pathogens. Considering species, the agreement was excellent. In relation to susceptibility, excellent agreement was noted between the detected resistance genes and susceptibility profile obtained through conventional antibiograms. The evaluated assay presented very early and satisfactory results for identification and detection of resistance genes of the main pathogens involved in bloodstream infections.
Assuntos
Bacteriemia , Infecção Hospitalar , Sepse , Humanos , Sepse/diagnóstico , Testes de Sensibilidade Microbiana , Diagnóstico Precoce , Análise de Sequência com Séries de Oligonucleotídeos , Antibacterianos , Bacteriemia/diagnósticoRESUMO
Pterygium is a common ocular surface condition frequently associated with irritative symptoms. The precise identity of its critical triggers as well as the hierarchical relationship between all the elements involved in the pathogenesis of this disease are not yet elucidated. Meta-analysis of gene expression studies represents a novel strategy capable of identifying key pathogenic mediators and therapeutic targets in complex diseases. Samples from nine patients were collected during surgery after photo documentation and clinical characterization of pterygia. Gene expression experiments were performed using Human Clariom D Assay gene chip. Differential gene expression analysis between active and atrophic pterygia was performed using limma package after adjusting variables by age. In addition, a meta-analysis was performed including recent gene expression studies available at the Gene Expression Omnibus public repository. Two databases including samples from adults with pterygium and controls fulfilled our inclusion criteria. Meta-analysis was performed using the Rank Production algorithm of the RankProd package. Gene set analysis was performed using ClueGO and the transcription factor regulatory network prediction was performed using appropriate bioinformatics tools. Finally, miRNA-mRNA regulatory network was reconstructed using up-regulated genes identified in the gene set analysis from the meta-analysis and their interacting miRNAs from the Brazilian cohort expression data. The meta-analysis identified 154 up-regulated and 58 down-regulated genes. A gene set analysis with the top up-regulated genes evidenced an overrepresentation of pathways associated with remodeling of extracellular matrix. Other pathways represented in the network included formation of cornified envelopes and unsaturated fatty acid metabolic processes. The miRNA-mRNA target prediction network, also reconstructed based on the set of up-regulated genes presented in the gene ontology and biological pathways network, showed that 17 target genes were negatively correlated with their interacting miRNAs from the Brazilian cohort expression data. Once again, the main identified cluster involved extracellular matrix remodeling mechanisms, while the second cluster involved formation of cornified envelope, establishment of skin barrier and unsaturated fatty acid metabolic process. Differential expression comparing active pterygium with atrophic pterygium using data generated from the Brazilian cohort identified differentially expressed genes between the two forms of presentation of this condition. Our results reveal differentially expressed genes not only in pterygium, but also in active pterygium when compared to the atrophic ones. New insights in relation to pterygium's pathophysiology are suggested.
Assuntos
Perfilação da Expressão Gênica , Redes Reguladoras de Genes , MicroRNAs/genética , Pterígio/genética , RNA Mensageiro/genética , Transcriptoma , Adulto , Idoso , Bases de Dados Genéticas , Feminino , Regulação da Expressão Gênica , Humanos , Masculino , Pessoa de Meia-Idade , Análise de Sequência com Séries de Oligonucleotídeos , Pterígio/fisiopatologia , Pterígio/cirurgiaRESUMO
Identifying genes with the largest expression changes (gene selection) to characterize a given condition is a popular first step to drive exploration into molecular mechanisms and is, therefore, paramount for therapeutic development. Reproducibility in the sciences makes it necessary to emphasize objectivity and systematic repeatability in biological and informatics analyses, including gene selection. With these two characteristics in mind, in previous works our research team has proposed using multiple criteria optimization (MCO) in gene selection to analyze microarray datasets. The result of this effort is the MCO algorithm, which selects genes with the largest expression changes without user manipulation of neither informatics nor statistical parameters. Furthermore, the user is not required to choose either a preference structure among multiple measures or a predetermined quantity of genes to be deemed significant a priori. This implies that using the same datasets and performance measures (PMs), the method will converge to the same set of selected differentially expressed genes (repeatability) despite who carries out the analysis (objectivity). The present work describes the development of an open-source tool in RStudio to enable both: (1) individual analysis of single datasets with two or three PMs and (2) meta-analysis with up to five microarray datasets, using one PM from each dataset. The capabilities afforded by the code include license-free portability and the possibility to carry out analyses via modest computer hardware, such as personal laptops. The code provides affordable, repeatable, and objective detection of differentially expressed genes from microarrays. It can be used to analyze other experiments with similar experimental comparative layouts, such as microRNA arrays and protein arrays, among others. As a demonstration of the capabilities of the code, the analysis of four publicly-available microarray datasets related to Parkinson´s Disease (PD) is presented here, treating each dataset individually or as a four-way meta-analysis. These MCO-supported analyses made it possible to identify MMP9 and TUBB2A as potential PD genetic biomarkers based on their persistent appearance across each of the case studies. A literature search confirmed the importance of these genes in PD and indeed as PD biomarkers, which evidences the code´s potential.
Assuntos
Algoritmos , Bases de Dados de Ácidos Nucleicos , Perfilação da Expressão Gênica , Análise de Sequência com Séries de Oligonucleotídeos , Software , HumanosRESUMO
ABSTRACT Myoblasts fuse into multinucleated muscle fibers to form and promote the growth of skeletal muscle. In order to analyze the role of myostatin (MSTN) in body fat, skeletal muscle cell proliferation and differentiation and energy metabolism, this study will use the antisense RNA technology of gene chip technology to study it. The results showed that the MSTN gene regulated the growth and proliferation of myoblasts and affected the development of skeletal muscle by affecting the expression of Cdc42, bnip2, p38 and other genes; knockout or overexpression of the MSTN gene would lead to a trend of fat-related genes from fat synthesis to fat decomposition; after the MSTN gene was knocked down, the expression levels of cpti-b, PPARG and other genes in the cells were corresponding after MSTN overexpression, the relative expression of the PPARG gene decreased. It is suggested that the knockout or overexpression of MSTN may affect lipid accumulation, and cpti-b and PPARG may directly regulate lipid level. It is hoped that this experiment can provide a reference for the study of MSTN effect on fat deposition.
RESUMO Os mioblastos se fundem eM fibras musculares multinucleadas para formar e promover o crescimento do músculo esquelético. A fim de analisar o papel da miostatina (MSTN) na gordura corporal, proliferação de células musculares esqueléticas e diferenciação e metabolismo energético, este estudo utilizará a tecnologia anti-RNA de chips genéticos para estudá-la. Os resultados mostraram que o gene MSTN regulava o crescimento e a proliferação de mioblastos e afetava o desenvolvimento do músculo esquelético, afetando a expressão de Cdc42, bnip2, p38 e outros genes; a eliminação ou sobrexpressão do gene MSTN conduziria a uma tendência de os genes adiposos sintetizarem a gordura até sua decomposição; após a eliminação do gene MSTN, os níveis de expressão de cpti-b, PPARG e outros genes nas células mostraram-se correspondentes após a sobrexpressão do gene MSTN, e a expressão relativa do gene PPARG diminuiu. Sugere-se que a eliminação ou sobrexpressão da MSTN possa afetar a acumulação de lipídeos, e o cpti-b e o PPARG podem regular diretamente o nível lipídico. Espera-se que esta experiência possa fornecer uma referência para o estudo do efeito da MSTN sobre a deposição de gordura.
RESUMEN Los mioblastos se funden en fibras musculares multinucleadas para formar y promover el crecimiento del músculo esquelético. A fin de analizar el papel de la miostatina (MSTN) en la grasa corporal, proliferación de células musculares esqueléticas y diferenciación y metabolismo energético, este estudio utilizará la tecnología anti-RNA de chips genéticos para estudiarla. Los resultados mostraron que el gen MSTN regulaba el crecimiento y la proliferación de mioblastos y afectaba el desarrollo del músculo esquelético, afectando la expresión de Cdc42, bnip2, p38 y otros genes; la eliminación o sobreexpresión del gen MSTN conduciría a una tendencia de que los genes adiposos sinteticen la grasa hasta su descomposición; después de la eliminación del gen MSTN, los niveles de expresión de cpti-b, PPARG y otros genes en las células se mostraron correspondientes después de la sobreexpresión del gen MSTN, y la expresión relativa del gen PPARG disminuyó. Se sugiere que la eliminación o sobreexpresión de la MSTN pueda afectar la acumulación de lipídos, y el cpti-b y el PPARG pueden regular directamente el nivel lipídico. Se espera que esta experiencia pueda proveer una referencia para el estudio del efecto de la MSTN sobre el depósito de grasa.
Assuntos
Animais , Bovinos , Diferenciação Celular/fisiologia , Adipócitos/metabolismo , Mioblastos Esqueléticos/metabolismo , Proliferação de Células/fisiologia , Metabolismo Energético , Miostatina/metabolismo , Análise de Sequência com Séries de OligonucleotídeosRESUMO
Chromosomal microarray analyses (CMA) have greatly increased both the yield and diagnostic accuracy of postnatal analysis; it has been used as a first-tier cytogenetic test in patients with intellectual disability, autism spectrum disorder, and multiple congenital abnormalities. During the last 15 years, we performed CMA in approximately 8,000 patients with neurodevelopmental and/or congenital disorders, of which 13 (0.16%) genetically catastrophic complex chromosomal rearrangements were identified. These ultrarare rearrangements showed clustering of breakpoints, characteristic of chromoanagenesis events. Al1 13 complex events display underlying formation mechanisms, originating either by a synchronization of the shattering of clustered chromosome regions in which regional asynchrony of DNA replication may be one of the main causes of disruption. We provide an overview of the copy number profiling in these patients. Although several previous studies have suggested that chromoanagenesis is often a genetic disease source in postnatal diagnostic screening, due to either the challenge of clinical interpretation of these complex rearrangements or the limitation of microarray resolution relative to the small size and complexity of chromogenic induced chromosome abnormalities, bringing further attention and to study its occurrence in the clinical setting is extremely important.
Assuntos
Anormalidades Múltiplas/diagnóstico , Anormalidades Múltiplas/genética , Aberrações Cromossômicas , Transtornos Cromossômicos/diagnóstico , Transtornos Cromossômicos/genética , Análise de Sequência com Séries de Oligonucleotídeos/métodos , Anormalidades Múltiplas/epidemiologia , Adolescente , Adulto , Brasil/epidemiologia , Criança , Pré-Escolar , Transtornos Cromossômicos/epidemiologia , Hibridização Genômica Comparativa , Variações do Número de Cópias de DNA , Deficiências do Desenvolvimento/diagnóstico , Deficiências do Desenvolvimento/epidemiologia , Deficiências do Desenvolvimento/genética , Testes Diagnósticos de Rotina , Feminino , Estudos de Associação Genética , Humanos , Lactente , Masculino , Fenótipo , Polimorfismo de Nucleotídeo Único , Adulto JovemRESUMO
Clinically relevant biomarkers are useful to determine cancer patients' prognosis and treatments. To discover new putative biomarkers, we performed in silico analysis of a 325-gene panel previously associated with breast epithelial cell biology and clinical outcomes. Sixteen public datasets of microarray samples representing 8 cancer types and a total of 3,663 patients' samples were used for the analyses. Feature selection was used to identify the best subsets of the 325 genes for each classification, and linear discriminant analysis was used to quantify the accuracy of the classifications. A subset of 102 of the 325 genes were found to be housekeeping (HK) genes, and the classifications were repeated using only the 102 HK subset. The 325-gene panel and 102 HK subset were able to distinguish colon, gastric, lung, ovarian, pancreatic, and prostate tumors and leukemia from normal adjacent tissue, and classify disease subtypes of breast and lung cancers and leukemia with 70% or higher accuracy. HK genes have been overlooked as potential biomarkers due to their relative stability. This study describes a set of HK genes as putative biomarkers applicable to multiple cancer types worth following in subsequent validation studies.
Assuntos
Neoplasias da Mama , Perfilação da Expressão Gênica , Biomarcadores Tumorais/genética , Neoplasias da Mama/genética , Regulação Neoplásica da Expressão Gênica , Genes Essenciais , Humanos , Masculino , Análise de Sequência com Séries de Oligonucleotídeos , FenótipoRESUMO
The aim of this study was to evaluate the accuracy of imputation in a Gyr population using two medium-density panels (Bos taurus - Bos indicus) and to test whether the inclusion of the Nellore breed increases the imputation accuracy in the Gyr population. The database consisted of 289 Gyr females from Brazil genotyped with the GGP Bovine LDv4 chip containing 30 000 SNPs and 158 Gyr females from Colombia genotyped with the GGP indicus chip containing 35 000 SNPs. A customized chip was created that contained the information of 9109 SNPs (9K) to test the imputation accuracy in Gyr populations; 604 Nellore animals with information of LD SNPs tested in the scenarios were included in the reference population. Four scenarios were tested: LD9K_30KGIR, LD9K_35INDGIR, LD9K_30KGIR_NEL, and LD9K_35INDGIR_NEL. Principal component analysis (PCA) was computed for the genomic matrix and sample-specific imputation accuracies were calculated using Pearson's correlation (CS) and the concordance rate (CR) for imputed genotypes. The results of PCA of the Colombian and Brazilian Gyr populations demonstrated the genomic relationship between the two populations. The CS and CR ranged from 0.88 to 0.94 and from 0.93 to 0.96, respectively. Among the scenarios tested, the highest CS (0.94) was observed for the LD9K_30KGIR scenario. The present results highlight the importance of the choice of chip for imputation in the Gyr breed. However, the variation in SNPs may reduce the imputation accuracy even when the chip of the Bos indicus subspecies is used.
Assuntos
Bovinos , Genômica , Polimorfismo de Nucleotídeo Único , Animais , Cruzamento , Bovinos/genética , Feminino , Genoma , Genótipo , Análise de Sequência com Séries de Oligonucleotídeos/veterináriaRESUMO
BACKGROUND: Multiple sclerosis (MS) is a central nervous system disease with a high disability rate. Modern molecular biology techniques have identified a number of key genes and diagnostic markers to MS, but the etiology and pathogenesis of MS remain unknown. RESULTS: In this study, the integration of three peripheral blood mononuclear cell (PBMC) microarray datasets and one peripheral blood T cells microarray dataset allowed comprehensive network and pathway analyses of the biological functions of MS-related genes. Differential expression analysis identified 78 significantly aberrantly expressed genes in MS, and further functional enrichment analysis showed that these genes were associated with innate immune response-activating signal transduction (p = 0.0017), neutrophil mediated immunity (p = 0.002), positive regulation of innate immune response (p = 0.004), IL-17 signaling pathway (p < 0.035) and other immune-related signaling pathways. In addition, a network of MS-specific protein-protein interactions (PPI) was constructed based on differential genes. Subsequent analysis of network topology properties identified the up-regulated CXCR4, ITGAM, ACTB, RHOA, RPS27A, UBA52, and RPL8 genes as the hub genes of the network, and they were also potential biomarkers of MS through Rap1 signaling pathway or leukocyte transendothelial migration. RT-qPCR results demonstrated that CXCR4 was obviously up-regulated, while ACTB, RHOA, and ITGAM were down-regulated in MS patient PBMC in comparison with normal samples. Finally, support vector machine was employed to establish a diagnostic model of MS with a high prediction performance in internal and external datasets (mean AUC = 0.97) and in different chip platform datasets (AUC = (0.93). CONCLUSION: This study provides new understanding for the etiology/pathogenesis of MS, facilitating an early identification and prediction of MS.
Assuntos
Biomarcadores , Perfilação da Expressão Gênica , Leucócitos Mononucleares , Esclerose Múltipla , Biologia Computacional , Redes Reguladoras de Genes , Humanos , Esclerose Múltipla/diagnóstico , Esclerose Múltipla/genética , Análise de Sequência com Séries de OligonucleotídeosRESUMO
Well-differentiated liposarcoma/atypical lipomatous tumor (WDLS/ALT) and dedifferentiated liposarcoma (DDLS) have characteristic supernumerary ring and giant marker chromosomes involving the chromosomal region 12q13-15 which contains MDM2 (12q15), CDK4 (12q14.1), HMGA2 (12q14.3), YEATS4 (12q15), CPM (12q15), and FRS2 (12q15). Detecting MDM2 amplification by fluorescence in situ hybridization (FISH) is considered to be the gold standard for the diagnosis of WDLS/ALT and DDLS. In this study, formalin fixed paraffin embedded clinical specimens (16 liposarcomas and 19 benign lipomatous tumors) were used to detect MDM2 amplification and other chromosomal alterations in WDLS/ALT and DDLS by single nucleotide polymorphism-based chromosome microarray (CMA). All 16 liposarcomas showed MDM2 amplification with a MDM2/cep12 ratio from 2.4 to 8.4 by CMA. Ten (62.5%) of these cases had CDK4/cep12 ratio ≥2.0. All the cases without CDK4 amplification were from the thigh. The MDM2/cep12 ratio of all the benign lipomatous tumors (19/19) was within the normal limits. Twenty-one of the 35 benign lipomatous tumors and liposarcomas were also tested for MDM2 amplification by FISH. All the FISH results were consistent with the CMA results (100%). Along with MDM2 amplification, all 16 liposarcomas (100%) also showed amplification of YEATS4, CPM and FRS2. Only 11 of 16 (69%) cases showed HMGA2 amplification. In conclusion, this study demonstrated that CMA on routine formalin fixed paraffin embedded tissue is a sensitive and specific clinical test for detection of MDM2 gene amplification. Moreover, CMA allows simultaneous detection of genomic changes of interest including CDK4 and others, which provides enriched information for diagnosing lipomatous tumors.