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Abstract Objective This article presents a clinical and cytogenomic approach that focuses on the diagnosis of syndromic oral clefts (OCs). Methods The inclusion criteria were individuals with OC presenting four or more minor signs and no major defects (non-syndromic oral clefts [NSOCs]) as well as individuals with OC presenting at least another major defect, regardless of the number of minor signs (syndromic oral clefts [SOCs]). The exclusion criteria included NSOC with less than four minor signs, SOC with known etiology, as well as atypical oral clefts. Results Of 1647 individuals with OC recorded in the Brazilian Database of Craniofacial Anomalies, 100 individuals were selected for chromosome microarray analysis (CMA). Among these, 44 individuals were clinically classified as NSOC and 56 as SOC. CMA was performed for both groups, and abnormal CMA was identified in 9%, all previously classified as SCO. The clinical and CMA data analyses showed a significant predominance of abnormal CMA in individuals classified as SOC (p = 0.0044); prematurity, weight, length, and head circumference at birth were significantly lower in the group with abnormal CMA. Besides, minor signs were significantly higher in this group (p = 0.0090). Conclusion The rigorous selection of cases indicates that the significant variables could help in early recognition of SOC. This study reinforces the importance of applying the CMA technique to establish the diagnosis of SOC. This is an important and universal issue in clinical practice for intervention, care, and genetic counseling.

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OBJECTIVE: This article presents a clinical and cytogenomic approach that focuses on the diagnosis of syndromic oral clefts (OCs). METHODS: The inclusion criteria were individuals with OC presenting four or more minor signs and no major defects (non-syndromic oral clefts [NSOCs]) as well as individuals with OC presenting at least another major defect, regardless of the number of minor signs (syndromic oral clefts [SOCs]). The exclusion criteria included NSOC with less than four minor signs, SOC with known etiology, as well as atypical oral clefts. RESULTS: Of 1647 individuals with OC recorded in the Brazilian Database of Craniofacial Anomalies, 100 individuals were selected for chromosome microarray analysis (CMA). Among these, 44 individuals were clinically classified as NSOC and 56 as SOC. CMA was performed for both groups, and abnormal CMA was identified in 9%, all previously classified as SCO. The clinical and CMA data analyses showed a significant predominance of abnormal CMA in individuals classified as SOC (p = 0.0044); prematurity, weight, length, and head circumference at birth were significantly lower in the group with abnormal CMA. Besides, minor signs were significantly higher in this group (p = 0.0090). CONCLUSION: The rigorous selection of cases indicates that the significant variables could help in early recognition of SOC. This study reinforces the importance of applying the CMA technique to establish the diagnosis of SOC. This is an important and universal issue in clinical practice for intervention, care, and genetic counseling.

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Background: Gene expression analysis via microarray is widely used in phytobacteria to validate differential gene expression associated with virulence or to compare biological profiles of wild type and mutant strains. Here, we employed DNA microarrays to study the early stages of the infection process (24, 72 and 120 h post-inoculation) of Xanthomonas citri subsp. citri (Xac) infecting Citrus sinensis to interrogate the expression profiles of hypothetical genes. Results: Under infective conditions, 446 genes were up- and 306 downregulated. Outstanding among genes upregulated during infection were those involved in synthesizing the Type 3 Secretion System and effectors, xanthan gum and quorum-sensing induction, and flagellum synthesis and regulation. Additionally, 161 hypothetical genes were up- and 100 were downregulated, 49 of which are known to have a significant biological role. To understand hypothetical gene co-regulation or -expression, nine expression profiles including 158 genes were identified during the three infection phases. Of these, 47 hypothetical genes were identified as having expression profiles associated with at least one connected to a gene associated with adaptation and virulence. Conclusions: Expression patterns of six differentially expressed genes were validated by quantitative reverse transcription polymerase chain reaction, thus demonstrating the effectiveness of this tool in global gene expression analysis in Xac.

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Background: The information of gene expression obtained from databases, have made possible the extraction and analysis of data related with several molecular processes involving not only in brain homeostasis but its disruption in some neuropathologies; principally in Down syndrome and the Alzheimer disease. Objective: To correlate the levels of transcription of 19 genes located in the Down Syndrome Critical Region (DSCR) with their expression in several substructures of normal human brain. Methods: There were obtained expression profiles of 19 DSCR genes in 42 brain substructures, from gene expression values available at the database of the human brain of the Brain Atlas of the Allen Institute for Brain Sciences", (http://human.brain-map.org/). The co-expression patterns of DSCR genes in brain were calculated by using multivariate statistical methods. Results: Highest levels of gene expression were registered at caudate nucleus, nucleus accumbens and putamen among central areas of cerebral cortex. Increased expression levels of RCAN1 that encode by a protein involved in signal transduction process of the CNS were recorded for PCP4 that participates in the binding to calmodulin and TTC3; a protein that is associated with differentiation of neurons. That previously identified brain structures play a crucial role in the learning process, in different class of memory and in motor skills. Conclusion: The precise regulation of DSCR gene expression is crucial to maintain the brain homeostasis, especially in those areas with high levels of gene expression associated with a remarkable process of learning and cognition.

Introducción: La información de la expresión de genes consignada en bases de datos, ha permitido extraer y analizar información acerca procesos moleculares implicados tanto en la homeostasis cerebral y su alteración en algunas neuropatologías. Objetivos: Correlacionar los niveles de transcripción de 19 genes localizados en la región crítica del cromosoma 21, asociada a Síndrome de Down (DSCR), con la localización cerebral y su coexpresión en diferentes subestructuras del cerebro humano. Métodos: A partir de valores de expresión génica disponibles en la base de datos del proyecto cerebro humano del Atlas del Cerebro del "Allen Institute for Brain Sciences" (http://human.brain-map.org/), se construyeron perfiles de expresión de 19 genes DSCR en 42 subestructuras cerebrales. Además, utilizando métodos estadísticos multivariados se analizaron los patrones de coexpresión de genes DSCR en el cerebro normal. Resultados: En el núcleo caudado, el núcleo accumbens y el putamen además de las Áreas centrales 2, 3 y 4, se determinaron los valores de expresión más elevados para los genes incluidos RCAN1, que codifica para una proteína involucrada en el proceso de transducción de señales de SNC; PCP4 cuya proteína interviene en la unión a la calmodulina y TTC3 una proteína que interviene en la diferenciación de neuronas. Las subestructuras identificadas con una elevada expresión de estos genes, están asociadas con procesos de aprendizaje, en diferentes tipos de memoria y habilidades motoras. Conclusiones: La regulación de la expresión de los genes DSCR es clave para mantener la homeostasis cerebral, especialmente en aquellas áreas de mayor expresión, las cuales están asociadas con procesos sumamente importantes.

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BACKGROUND: The information of gene expression obtained from databases, have made possible the extraction and analysis of data related with several molecular processes involving not only in brain homeostasis but its disruption in some neuropathologies; principally in Down syndrome and the Alzheimer disease. OBJECTIVE: To correlate the levels of transcription of 19 genes located in the Down Syndrome Critical Region (DSCR) with their expression in several substructures of normal human brain. METHODS: There were obtained expression profiles of 19 DSCR genes in 42 brain substructures, from gene expression values available at the database of the human brain of the Brain Atlas of the Allen Institute for Brain Sciences", (http://human.brain-map.org/). The co-expression patterns of DSCR genes in brain were calculated by using multivariate statistical methods. RESULTS: Highest levels of gene expression were registered at caudate nucleus, nucleus accumbens and putamen among central areas of cerebral cortex. Increased expression levels of RCAN1 that encode by a protein involved in signal transduction process of the CNS were recorded for PCP4 that participates in the binding to calmodulin and TTC3; a protein that is associated with differentiation of neurons. That previously identified brain structures play a crucial role in the learning process, in different class of memory and in motor skills. CONCLUSION: The precise regulation of DSCR gene expression is crucial to maintain the brain homeostasis, especially in those areas with high levels of gene expression associated with a remarkable process of learning and cognition.

INTRODUCCIÓN: La información de la expresión de genes consignada en bases de datos, ha permitido extraer y analizar información acerca procesos moleculares implicados tanto en la homeostasis cerebral y su alteración en algunas neuropatologías. OBJETIVOS: Correlacionar los niveles de transcripción de 19 genes localizados en la región crítica del cromosoma 21, asociada a Síndrome de Down (DSCR), con la localización cerebral y su coexpresión en diferentes subestructuras del cerebro humano. MÉTODOS: A partir de valores de expresión génica disponibles en la base de datos del proyecto cerebro humano del Atlas del Cerebro del "Allen Institute for Brain Sciences" (http://human.brain-map.org/), se construyeron perfiles de expresión de 19 genes DSCR en 42 subestructuras cerebrales. Además, utilizando métodos estadísticos multivariados se analizaron los patrones de coexpresión de genes DSCR en el cerebro normal. RESULTADOS: En el núcleo caudado, el núcleo accumbens y el putamen además de las Áreas centrales 2, 3 y 4, se determinaron los valores de expresión más elevados para los genes incluidos RCAN1, que codifica para una proteína involucrada en el proceso de transducción de señales de SNC; PCP4 cuya proteína interviene en la unión a la calmodulina y TTC3 una proteína que interviene en la diferenciación de neuronas. Las subestructuras identificadas con una elevada expresión de estos genes, están asociadas con procesos de aprendizaje, en diferentes tipos de memoria y habilidades motoras. CONCLUSIONES: La regulación de la expresión de los genes DSCR es clave para mantener la homeostasis cerebral, especialmente en aquellas áreas de mayor expresión, las cuales están asociadas con procesos sumamente importantes.

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As interações epitélio-mesênquima podem influenciar o desenvolvimento do tumor no sítio primário e no linfonodo comprometido de pacientes com câncer de mama. Nosso objetivo foi avaliar a taxa de proliferação e perfil gênico de fibroblastos de linfonodos comprometidos e não comprometidos obtidos de pacientes com câncer de mama e determinar a influência de células epiteliais mamárias normais (MCF10A) ou malignas (MDA-MB-231) na expressão gênica destes fibroblastos. Foram estabelecidas culturas primárias de fibroblastos de linfonodos (3 comprometidos e 3 não comprometidos) de 6 diferentes pacientes com câncer de mama e não houve diferença na taxa de proliferação destes fibroblastos. Co-culturas de células MCF10A ou MDA-MB-231 com fibroblastos, separadas fisicamente por membranas porosas, foram realizadas por 72 horas. O RNA total dos fibroblastos foi extraído, amplificado e o perfil gênico foi analisado usando-se uma lâmina de cDNA microarray. Fibroblastos de linfonodos comprometidos e não comprometidos apresentaram perfil gênico similar, pois apenas 13 genes foram modulados, sendo que maior expressão de PGBD3 e PTBP2 em fibroblastos de linfonodos comprometidos foi confirmada em ensaios de RT-PCR em tempo real. Em fibroblastos, a cocultura com células MCF10A alterou a expressão de maior número de genes que a co-cultura com células MDA-MB-231. Em fibroblastos originários de linfonodos não comprometidos mantidos em co-cultura com células MDA-MB-231 foram modulados 151 genes, em relação aos mesmos fibroblastos cultivados na ausência de células epiteliais, sendo que oito deles apresentaram variação de expressão superior a três vezes (BET1, ENTPD1, USP7, DAPK1, ERBB2 e NCF2). As células MDA-MB-231 modularam algumas vias de sinalização em fibroblastos não comprometidos, como vias do cálcio, insulina, hormônio liberador de gonadotrofina (GnRH) e da regulação do citoesqueleto de actina, mas o mesmo não ocorreu em fibroblastos de linfonodos comprometidos...

Tumor development may be influenced by epithelial-mesenchimal interactions in the primary site as well as in the involved lymph node from breast cancer patients. Our aim was to evaluate the proliferation rate and gene profile of fibroblasts obtained from involved and uninvolved lymph nodes from breast câncer patients and to determine the influence of normal (MCF10A) or malignant (MDA-MB-231) mammary epithelial cells on the gene expression of these fibroblasts. Primary culture from fibroblasts obtained from 3 involved and 3 uninvolved lymph nodes (ILF and NILF) from 6 different breast cancer patients was established and no difference in their proliferation rate was detected. These fibroblasts were co-cultured with MCF10A or MDA-MB-231 cells, physically separated by a porous membrane for 72 hours. Total RNA was extracted from the cells, amplified and the gene profile from fibroblasts cultured alone or with epithelial cells was analyzed by cDNA microarray slides. Fibroblasts from involved and uninvolved lymph nodes present a similar gene profile as only 13 genes were differentially expressed between them, including PGBD3 and PTBP2, which higher expression in fibroblasts from involved lymph nodes was confirmed by real time RT-PCR. In fibroblasts, more genes seem to be regulated upon co-cultured with MCF10A than with MDA-MB-231 cells. In fibroblasts from uninvolved lymph nodes co-cultured with MDA-MB-231 cells, 151 genes were modulated as compared with fibroblasts cultured alone, and eight of them, presented an expression variation superior to three times (BET1, ENTPD1, USP7, DAPK1, ERBB2 e NCF2). In these fibroblasts, MDA-MB-231 could modulate some signaling pathways as calcium, insulin, gonadotrophin releasing hormone (GnRH) and actin cytoskeleton regulation signaling pathways...

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