Verification of users’ identities are normally carried out via PIN-codes or ID- cards. Biometric identification, identification of unique body features, offers an alternative solution to these methods. Fingerprint scanning is the most common biometric identification method used today. It uses a simple and quick method of identification and has therefore been favored instead of other biometric identification methods such as retina scan or signature verification. In this report biometric security systems have been evaluated based on fingerprint scanners. The evaluation method focuses on copies of real fingers, artificial fingers, as intrusion method but it also mentions currently used algorithms for identification and strengths and weaknesses in hardware solutions used. The artificial fingers used in the evaluation were made of gelatin, as it resembles the surface of human skin in ways of moisture, electric resistance and texture. Artificial fingers were based on ten subjects whose real fingers and artificial counterpart were tested on three different fingerprint scanners. All scanners tested accepted artificial fingers as substitutes for real fingers. Results varied between users and scanners but the artificial fingers were accepted between about one forth and half of the times. Techniques used in image enhancement, minutiae analysis and pattern matching are analyzed. Normalization, binarization, quality markup and low pass filtering are described within image enhancement. In minutiae analysis connectivity numbers, point identification and skeletonization (thinning algorithms) are analyzed. Within pattern matching, direction field analysis and principal component analysis are described. Finally combinations of both minutiae analysis and pattern matching, hybrid models, are mentioned. Based on experiments made and analysis of used techniques a recommendation for future use and development of fingerprint scanners is made.

Os projetos genoma têm fornecido uma grande quantidade de informação sobre a arquitetura gênica e sobre a configuração física de suas respectivas regiões flanqueadoras (RF). Estas RF contêm informações com o potencial de auxiliar na elucidação de vários processos biológicos, como os mecanismos de expressão gênica e de sua regulação. Estes mecanismos são de extrema importância para a compreensão do correto funcionamento dos organismos e das patologias que os afetam. Uma parte significativa dos mecanismos de controle de expressão gênica atuam na fase transcricional. Na base destes mecanismos está o recrutamento de proteínas que se ligam às regiões promotoras da transcrição, as quais são segmentos específicos de DNA que podem estar localizados tanto próximos à região de início da transcrição (TSS) quanto a centenas ou até a milhares de pares de bases dela. Essas proteínas compõem a maquinaria transcricional e podem ativar ou inibir o processo de transcrição. Experimentalmente, os segmentos regulatórios podem ser identificadas utilizando métodos complexos de biologia molecular, tais como SELEX, ChiP-ChiP, ChIP-Seq, dentre outros. Uma estratégia alternativa aos métodos experimentais é a utilização de metodologias computacionais. Análises computacionais tendem a ser mais rápidas, baratas e flexíveis do que protocolos experimentais, além de poderem ser utilizadas em larga escala. Atualmente, os métodos computacionais disponíveis necessitam de informações experimentais para a definição de padrões globais de preferências de sequências de DNA para a ligação de fatores de transcrição (TFBS, em inglês transcription factor binding sites). Entretanto, esses métodos apresentam uma elevada taxa de falso positivos e, por vezes, apresentam também taxas significativas de falso negativos, além de serem limitados ao estudo de fatores de transcrição de espécies bem conhecidas, o que diminui a área de aplicação dos mesmos. Diante deste cenário, o uso de métodos computacionais que não necessitem da informação referente aos sítios de ligação, bem como os que utilizem parâmetros mais robustos de detecção dos resultados, em detrimento dos escores de pontuação provindos de alinhamentos, podem acrescentar uma sensível melhoria ao processos de predição de regiões regulatórias. Neste projeto, foi desenvolvido um novo modelo computacional (TFBSAnalyzer) para análise e identificação de TFBS em elementos regulatórios, que utiliza técnicas de modelagem molecular para a construção de complexos entre um fator de transcrição ancorado a estruturas de DNA com sequências variáveis de bases e, através de cálculos termodinâmicos de entalpia de ligação, determina uma função de pontuação baseada na energia de ligação e realiza a predição de sítios de ligação ao DNA para o fator de transcrição em análise. Esta abordagem foi testada com três fatores de transcrição como sistemas-modelo, pertencentes à família dos receptores nucleares, a saber: o receptor de estrógeno ER-alfa (Estrogen Receptor Alpha), o receptor de ácido retinoico RAR-beta (Retinoid Acid Receptor Beta) e o receptor X retinóico RXR (Retinoid X Receptor). Os modelos previstos computacionalmente foram comparados aos dados experimentais disponíveis para estes receptores nucleares, os quais apresentaram as seguintes taxas de FP/FN: 10%/0 para RAR-beta e RXR, 21%/6% para ER-alfa. Também simulamos um experimento de ChIP-seq do ER-alfa no genoma humano, cujos genes selecionados foram submetidos a uma análise de enriquecimento de fatores de transcrição curados experimentalmente, que fazem sua regulação, revelando que o receptor de estrógeno está realmente envolvido no processo. Para mostrar a aplicabilidade geral de nosso método, nós modelamos a distribuição de energia de ligação para o receptor NHR-28 isoforma a de Caenorhabditis elegans com DNA . Obtivemos distribuições de energia semelhantes àquelas encontradas para os NRs modelos, portanto seria possível aplicar o método para buscar possíveis TFBSs para este receptor no genoma de C. elegans. Os dados gerados e as metodologias desenvolvidas neste projeto devem acrescentar uma sensível melhoria aos processos de predição de regiões regulatórias e consequentemente auxiliar no entendimento dos mecanismos envolvidos no processo de expressão gênica e de sua regulação. / The genome projects have provided a lot of information about the genetic architecture, as well as on the physical configuration of their flanking regions (FR). These FR have the potential to aid in the elucidation of many biological processes, such as the mechanisms involved in gene expression and its regulation. These mechanisms are extremely important for undeerstanfind the correct functioning of organisms as well as the pathologies that affect them. A significant part of the control mechanisms of gene expression act during transcription. On the basis of this mechanisms is the recruitment of proteins that bind to promoter regions of transcription, which are specific segments of DNA that can be located either near the transcription start site or at hundreds or even thousands of base pairs away. These proteins form the transcription machinery, which can activate or inhibit the transcription process. The regulatory segments can be identified experimentally using complex methods of molecular biology, such as SELEX, ChIP-chip, ChIP-seq, among others. An alternative strategy to these experimental methods is the use of computational methodologies for predicting regulatory regions. Computational analysis tend to be faster, cheaper and more flexible than the experimental protocols, and can be used on a larger scale. Currently, the available computational methods require information previously obtained from experiments in order to define global standards of preference of DNA-Binding sequences for transcription factors (TFBS - Transcription Factor Binding Sites). However, these methods have a high rate of false positives and sometimes also have significant rates of false negatives, besides being limited to the study of transcription factors of well-known species, which decreases their application area. In this scenario, the use of computational methods that do not require previous information concerning the binding sites and use more robust parameters of results detection, instead of alignment scores, may add significant improvement to the processes of predicting regulatory regions. In this project, we developed a new computational model TFBSAnalyzer) for analysis and identification of regulatory elements using molecular modeling techniques for the construction of complexes between a transcription factor bound to specific DNA structures with variable sequences of bases and, by means of thermodynamic calculations of bond enthalpy, provides a scoring function based on the binding energy and predicts the DNA binding sites for the transcription factor in analysis. This approach was tested initially with three transcription factors as models, belonging to the nuclear receptor family, namely estrogen receptor ER-alpha (Estrogen Receptor Alpha), the retinoic acid receptor RAR-beta (Retinoid Acid Receptor Beta) and the retinoic X receptor RXR (Retinoid X Receptor). The computationally predicted models were compared to experimental data available for these nuclear receptors, and presented the following rates of FP/FN: 10%/0 for RAR-beta and RXR, 21%/6% for ER-alpha. We also simulated an experiment of ChIP-seq with ER-alpha with the human genome, where the selected genes were subjected to a transcription factor enrichment analysis, with curated information, revealing that the estrogen receptor is indeed involved in their regulation. To show that our method has a general applicability, we modeled the binding energy distribution for the NHR-28 receptor, isoform a, from Caenorhabditis elegans. The energy distributions obtained were similar to the ones obtained for the model NR, so it would be possible to use the method and search for possible TFBS in the C. elegans genome. The data generated and the methodologies developed in this project should add a significant improvement to the prediction processes of regulatory regions and, consequently, help to understand the mechanisms involved in the gene expression process and its regulation.

Les complexes d'or(I) tels que l'auranofine et l'aurothiomalate ont été utilisés dans le traitement de la polyarthrite rhumatoïde depuis plusieurs décennies. Plus récemment, de nombreux complexes d'or(I) et d'or(III) ont révélé des activités anti-cancéreuses in vitro importantes. Cependant, du fait de la forte affinité de l'or pour les thiols et les sélénols, ces complexes interagissent dans les cellules avec de nombreuses protéines de façon non spécifique. Ce qui explique les effets secondaires observés chez les patients soumis à des traitements prolongés de chrysothérapie et rend plus difficile la compréhension des mécanismes d'actions de ces complexes. Parmi les cibles thérapeutiques proposées, les protéines à doigts de zinc représentent des cibles très intéressantes. En effet, ces protéines sont très abondantes (environ 8 % du protéome humain) et se retrouvent dans des processus clés de la machinerie cellulaire (régulation de gènes, transcription, apoptose, réparation de l'ADN, résistance au stress oxydant…). Ces protéines possèdent un site Zn(Cys)4-x(His)x (x = 0-2) où le zinc permet d'assurer le bon repliement de la protéine et son bon fonctionnement. Nous nous sommes donc intéressés à déterminer l'interaction de complexes d'or(I) et d'or(III) avec les protéines doigts de zinc à l'aide de modèles peptidiques de ces sites à zinc. Nous avons caractérisé les produits issus de la réaction entre les peptides et l'or et déterminé les cinétiques de déplacement du zinc par l'or. / Gold(I) complexes such as auranofine and aurothiomalate have been used as therapeutic agents for the treatment of rheumatoid arthritis for several decades. More recently, several gold(I) and gold(III) complexes have shown important in vitro anticancer properties. However, because of the high affinity of gold for sulfur and selenium ligands, these complexes interact with lots of proteins in a non-specific manner. This explains some of the side effects observed in patients treated with gold complexes and also why the mechanism of action of these complexes remains misunderstood. Among all the therapeutic target of gold salts that has been proposed, zinc fingers proteins are very interesting targets. Indeed, these proteins are very abundant (ca. 8 % of human proteome) and are involved in key processes of the cell (genes regulation, transcription, apoptose, DNA repair, resistance to oxidant stress…). These proteins contains a Zn(Cys)4-x(His)x (x = 0-2) center where zinc assure the proper fold and function of the protein. We were interested to study the interaction of some gold(I) and gold(III) complexes with zinc finger proteins by using peptidic models these zinc sites. By using different spectroscopic methods, we have characterized the products obtained by reaction between the zinc fingers and the gold salts and determined the kinetics of zinc displacement by gold.

RNA-binding proteins (RBPs) are important for a wide variety of biological processes involved in gene regulation. However, the structural and dynamic contributions to their biological activity are poorly understood. The tristetraprolin (TTP) family of RBPs, including TTP, TIS11b and TIS11d, regulate the stability of mRNA transcripts encoding for key cancer-related proteins, such as tumor necrosis factor- and vascular endothelial growth factor. Biophysical studies have shown that the RNA binding domain, consisting of two CCCH zinc fingers (ZFs), is folded in the absence of RNA in TIS11d and TIS11b. In TTP, however, only ZF1 adopts a stable fold, while RNA is required to completely fold the tandem zinc finger (TZF). The focus of this research was to understand the origin and biological significance of the structural differences observed for the TZF domains of TTP and TIS11d. Three residues were shown to control the affinity for the structural Zn2+ and determine the folding of ZF2 in the absence of RNA. The partially-folded TZF domain of TTP has greater selectivity for RNA sequences than the fully folded TZF domain of TIS11d. The mRNA destabilizing activity of TTP was increased when the partially disordered RBD of TTP was replaced with the fully structured TZF domain of TIS11d. Disruption of the structure and/or dynamics of the TZF domain observed in the disease-associated mutations of TIS11d, P190L and D219E, results in aberrant cytoplasmic localization. This work demonstrates that the extent of RBD folding in the TTP family is important for differential RNA recognition, mRNA turnover, and protein localization in vivo.

No description available.

Avec le besoin de développer un organe artificiel remplaçant le doigt humain dans le cas d'un déficit et la nécessité de comprendre le fonctionnement de ce système physiologique, un modèle physique inverse du système doigt, permettant de chercher les activations neuronales à partir du mouvement, est nécessaire. Malgré le grand nombre d'études dans la modélisation de la main humaine, presque il n'existe aucun modèle physique inverse du système doigt majeur qui s'intéresse à chercher les activations neuronales. Presque tous les modèles existants se sont intéressés à la recherche des forces et des activations musculaires. L'objectif de la thèse est de présenter un modèle neuromusculo-squelettique du système doigt majeur humain permettant d'obtenir les activations neuronales, les activations musculaires et les forces musculaires des tous les muscles agissants sur le système doigt d'après l'analyse du mouvement. Le but de ce type des modèles est de représenter les caractéristiques essentielles du mouvement avec le plus de réalisme possible. Notre travail consiste à étudier, modéliser et à simuler le mouvement du doigt humain. L'innovation du modèle proposé est le couplage entre la biomécanique et les aspects neurophysiologiques afin de simuler la chaine inverse complet du mouvement en allant des données dynamiques du doigt aux intentions neuronales qui contrôlent les activations musculaires. L'autre innovation est la conception d'un protocole expérimental spécifique qui traite à la fois les données sEMG multicanal et les données cinématiques d'après une procédure de capture de mouvement. / With the need to develop an artificial organ replacing the human finger in the case of a deficiency and the need to understand how this physiological system works, an inverse physical model of the finger system for estimating neuronal activations from the movement, is necessary. Despite the large number of studies in the human hand modeling, almost there is no inverse physical model of the middle finger system that focuses on search neuronal activations. Al most all existing models have focused on the research of the muscle forces and muscle activations. The purpose of the manuscript is to present a neuromusculoskeletal model of the human middle finger system for estimating neuronal activations, muscle activations and muscle forces of all the acting muscles after movement analysis. The aim of such models is to represent the essential characteristics of the movement with the best possible realism. Our job is to study, model and simulate the movement of the human finger. The innovation of the proposed model is the coupling between the biomechanical and neurophysiological aspects to simulate the complete inverse movement chain from dynamic finger data to neuronal intents that control muscle activations. Another innovation is the design of a specific experimental protocol that treats both the multichannel sEMG and kinematic data from a data capture procedure of the movement.

No description available.

Introdução: Alterações em genes relacionados com a secreção de GH ou a organogênese hipofisária foram identificadas em pacientes com deficiência de hormônio do crescimento (DGH) congênita. Entretanto, poucos casos de DGH têm sua etiologia esclarecida. O GHRH é um candidato óbvio para explicar a deficiência isolada de GH (DIGH). Na literatura, os estudos de análise do GHRH não conseguiram identificar mutações, porém são antigos e utilizaram uma metodologia com limitações. A maioria dos pacientes com deficiência hipotálamo-hipofisária múltipla (DHHM) apresenta neuroipófise ectópica sugerindo a importância do estudo de genes que atuam no início do desenvolvimento hipofisário, com expressão inclusive no infundíbulo. O GLI2 é um fator de transcrição na sinalização Sonic Hedgehog, envolvido com o início da embriogênese hipofisária, expresso na bolsa de Rathke primordial e no diencéfalo ventral. Previamente, mutações no GLI2 foram encontradas em pacientes com holoprosencefalia, e também alterações hipofisárias. Objetivos: Analisar o GHRH em 151 pacientes com DIGH (42 brasileiros e 109 encaminhados de centros internacionais) e analisar o GLI2 em 180 pacientes brasileiros com DIGH ou DHHM por PCR e sequenciamento automático dos genes; e descrever o fenótipo dos pacientes com mutações identificadas. Resultados: No GHRH foram identificadas seis variantes em heterozigose com previsão benigna pelas análises in silico. A análise do GLI2 identificou três mutações novas em heterozigose com códon de parada prematuro (p.L788fsX794, p.L694fsX722 e p.E380X), e geração de proteínas truncadas, com perda do domínio responsável pela ativação transcricional. A mutação p.L788fsX794 foi identificada numa paciente com baixa estatura, polidactilia, epilepsia e hipoglicemias. Apresentava deficiência de GH, TSH, ACTH, prolactina, LH e FSH. Na investigação familiar foi diagnosticada DIGH em dois tios e DHHM numa prima. Estes familiares, além de sua mãe e outros parentes maternos também apresentaram a mutação e polidactilia. A mutação p.L694fsX722 foi identificada num menino com baixa estatura por deficiência de GH, além de lábio leporino e fenda palatina. Seu pai, embora saudável, também apresentou a mutação. A mutação p.E380X foi identificada numa lactente com retardo no desenvolvimento, hipoglicemias, poliúria e polidipsia. Apresentava deficiência de GH, ACTH, TSH e ADH. Sua mãe aparentemente normal também apresentou a mutação. Todos os pacientes com DGH e mutação no GLI2 apresentaram neuroipófise ectópica (não visualizada na paciente com p.E380X), adenoipófise hipoplásica e ausência de holoprosencefalia na ressonância magnética. Dezoito variantes não-sinônimas também foram identificadas no GLI2 em 24 pacientes. Dezesseis dessas variantes foram consideradas deletérias em pelo menos um programa de predição in silico e dez delas não foram encontradas em população controle. O fenótipo dos pacientes foi predominante de DHHM e com neuroipófise ectópica e sem holoprosencefalia. Variantes silenciosas, intrônicas e polimorfismos foram identificados no GLI2, mas aparentemente sem alteração funcional. Conclusão: Não identificamos mutação no GHRH e se realmente existe mutação neste gene como causa de DGH, deve ser muito rara. Variantes no GLI2 são frequentes (15%), indicando seu importante papel na etiologia da DGH congênita. Além disso, ampliamos o espectro fenotípico dos pacientes com mutações no GLI2, que foi caracterizado por DIGH ou DHHM, inclusive com diabetes insipidus, neuroipófise ectópica (maioria) e ausência de holoprosencefalia. Outras características observadas foram polidactilia, defeito de linha média facial e herança autossômica dominante com penetrância incompleta / Introduction: Alterations in genes related to GH secretion and pituitary organogenesis have been identified in patients with congenital GH deficiency (GHD). However, in only few cases of GHD the etiology has been established. GH-releasing hormone (GHRH) is an obvious candidate to explain isolated GH deficiency (IGHD). Previous reports in the literature did not identify mutations in GHRH, however, the methodology used was limited. Most patients with combined pituitary hormone deficiency (CPHD) have an ectopic posterior pituitary lobe (EPP) suggesting the study of genes involved in early pituitary development and also expressed in the infundibulum. GLI2 is a transcription factor in Sonic hedgehog signaling expressed in the primordial Rathkes pouch and ventral diencephalon during early pituitary development. Previously, GLI2 mutations were found in patients with holoprosencephaly and pituitary abnormalities. Aim: Analyse GHRH in 151 patients with IGHD (42 Brazilian and 101 from international centers) and GLI2 in 180 Brazilian patients with IGHD or CPHD by PCR and automatic sequencing, and describe the phenotype of patients with mutations. Results: In GHRH, six heterozygous variants that are benign according to in silico analysis were identified. GLI2 study revealed three novel heterozygous mutations leading to premature stop codons (p.L788fsX794, p.L694fsX722 e p.E380X) and truncated proteins, without the transcriptional activator domain. p.L788fsX794 was identified in a girl with short stature, polydactyly, epilepsy and hypoglycemia. She had GH, TSH, ACTH, prolactina, LH and FSH deficiencies. Two uncles had IGHD and one cousin CPHD. These relatives, the mother and other maternal relatives had polydactyly and carried the mutation. p.L694fsX722 was identified in a boy with short stature due to GHD who also had cleft lip and palate. His healthy father also carried the mutation. p.E380X was identified in an infant with delayed development, hypoglycemia, polyuria and polydipsia. She had GH, ACTH, TSH and ADH deficiencies. Her apparently normal mother also carried the mutation. All patients with GHD and GLI2 mutations had an EPP (not visualized in the patient with p.E380X), hypoplastic anterior pituitary lobe and absence of holoprosencephaly on MRI. Eighteen non-synonymous variants in GLI2 were identified in 24 patients. Sixteen of these were considered deleterious in at least one in silico prediction program and ten of these were not found in the control population. The phenotype was mainly of CPHD and EPP without holoprosencephaly. Several synonymous and intronic GLI2 variants and polymorphisms apparently without functional consequences were identified. Conclusions: No mutations in GHRH were identified and if mutations in this gene exist as a cause of IGHD, they must be very rare. Variants in GLI2 are frequent (15%) indicating its important role in the etiology of GHD. Furthermore, we expanded the clinical spectrum of patients with GLI2 mutations characterized by IGHD or CPHD including diabetes insipidus, ectopic posterior pituitary lobe (in most patients) and absence of holoprosencephaly. Additional features were polydactyly and midline facial defects and the inheritance was autosomal dominant with incomplete penetrance

The prevalence of diabetes is approaching epidemic proportions worldwide. There is currently no cure for type 1 diabetes, and successful treatment requires constant monitoring of blood sugars and use of exogenous insulin to prevent hyperglycemia. Diabetes will be curable when pancreatic β-islet cells can be transplanted into diabetes patients without requiring long-term immunosuppression. This will require learning more about the induction of functional tolerance, a state that maintains the competence of the immune system to most antigens but protects graft-specific antigens from immune rejection, permitting transplantation. One known mechanism of peripheral tolerance is T cell anergy, a phenotype of hypo-reponsiveness in CD4+ T cells. The focus of this thesis is a description of factors shown to be specific to the induction and maintenance of T cell anergy, whose loss reverses the anergic phenotype, restoring the ability of the cells to proliferate in response to antigen. The first of these is Egr-2, a zinc-finger transcription factor, whose presence is required for the induction of anergy induced in T cell clones by TCR stimulation in the absence of costimulation. Egr-2 is shown to be important to anergy induction but not anergy maintenance. In contrast, a negative costimulation receptor, PD-1, is shown to be necessary for the maintenance of anergy. It is possible that learning more about the genetic factors that orchestrate T cell anergy will prove useful in the development of tolerance-based protocols for organ and tissue transplantation without the use of long-term immunosuppression.

Introdução: Alterações em genes relacionados com a secreção de GH ou a organogênese hipofisária foram identificadas em pacientes com deficiência de hormônio do crescimento (DGH) congênita. Entretanto, poucos casos de DGH têm sua etiologia esclarecida. O GHRH é um candidato óbvio para explicar a deficiência isolada de GH (DIGH). Na literatura, os estudos de análise do GHRH não conseguiram identificar mutações, porém são antigos e utilizaram uma metodologia com limitações. A maioria dos pacientes com deficiência hipotálamo-hipofisária múltipla (DHHM) apresenta neuroipófise ectópica sugerindo a importância do estudo de genes que atuam no início do desenvolvimento hipofisário, com expressão inclusive no infundíbulo. O GLI2 é um fator de transcrição na sinalização Sonic Hedgehog, envolvido com o início da embriogênese hipofisária, expresso na bolsa de Rathke primordial e no diencéfalo ventral. Previamente, mutações no GLI2 foram encontradas em pacientes com holoprosencefalia, e também alterações hipofisárias. Objetivos: Analisar o GHRH em 151 pacientes com DIGH (42 brasileiros e 109 encaminhados de centros internacionais) e analisar o GLI2 em 180 pacientes brasileiros com DIGH ou DHHM por PCR e sequenciamento automático dos genes; e descrever o fenótipo dos pacientes com mutações identificadas. Resultados: No GHRH foram identificadas seis variantes em heterozigose com previsão benigna pelas análises in silico. A análise do GLI2 identificou três mutações novas em heterozigose com códon de parada prematuro (p.L788fsX794, p.L694fsX722 e p.E380X), e geração de proteínas truncadas, com perda do domínio responsável pela ativação transcricional. A mutação p.L788fsX794 foi identificada numa paciente com baixa estatura, polidactilia, epilepsia e hipoglicemias. Apresentava deficiência de GH, TSH, ACTH, prolactina, LH e FSH. Na investigação familiar foi diagnosticada DIGH em dois tios e DHHM numa prima. Estes familiares, além de sua mãe e outros parentes maternos também apresentaram a mutação e polidactilia. A mutação p.L694fsX722 foi identificada num menino com baixa estatura por deficiência de GH, além de lábio leporino e fenda palatina. Seu pai, embora saudável, também apresentou a mutação. A mutação p.E380X foi identificada numa lactente com retardo no desenvolvimento, hipoglicemias, poliúria e polidipsia. Apresentava deficiência de GH, ACTH, TSH e ADH. Sua mãe aparentemente normal também apresentou a mutação. Todos os pacientes com DGH e mutação no GLI2 apresentaram neuroipófise ectópica (não visualizada na paciente com p.E380X), adenoipófise hipoplásica e ausência de holoprosencefalia na ressonância magnética. Dezoito variantes não-sinônimas também foram identificadas no GLI2 em 24 pacientes. Dezesseis dessas variantes foram consideradas deletérias em pelo menos um programa de predição in silico e dez delas não foram encontradas em população controle. O fenótipo dos pacientes foi predominante de DHHM e com neuroipófise ectópica e sem holoprosencefalia. Variantes silenciosas, intrônicas e polimorfismos foram identificados no GLI2, mas aparentemente sem alteração funcional. Conclusão: Não identificamos mutação no GHRH e se realmente existe mutação neste gene como causa de DGH, deve ser muito rara. Variantes no GLI2 são frequentes (15%), indicando seu importante papel na etiologia da DGH congênita. Além disso, ampliamos o espectro fenotípico dos pacientes com mutações no GLI2, que foi caracterizado por DIGH ou DHHM, inclusive com diabetes insipidus, neuroipófise ectópica (maioria) e ausência de holoprosencefalia. Outras características observadas foram polidactilia, defeito de linha média facial e herança autossômica dominante com penetrância incompleta / Introduction: Alterations in genes related to GH secretion and pituitary organogenesis have been identified in patients with congenital GH deficiency (GHD). However, in only few cases of GHD the etiology has been established. GH-releasing hormone (GHRH) is an obvious candidate to explain isolated GH deficiency (IGHD). Previous reports in the literature did not identify mutations in GHRH, however, the methodology used was limited. Most patients with combined pituitary hormone deficiency (CPHD) have an ectopic posterior pituitary lobe (EPP) suggesting the study of genes involved in early pituitary development and also expressed in the infundibulum. GLI2 is a transcription factor in Sonic hedgehog signaling expressed in the primordial Rathkes pouch and ventral diencephalon during early pituitary development. Previously, GLI2 mutations were found in patients with holoprosencephaly and pituitary abnormalities. Aim: Analyse GHRH in 151 patients with IGHD (42 Brazilian and 101 from international centers) and GLI2 in 180 Brazilian patients with IGHD or CPHD by PCR and automatic sequencing, and describe the phenotype of patients with mutations. Results: In GHRH, six heterozygous variants that are benign according to in silico analysis were identified. GLI2 study revealed three novel heterozygous mutations leading to premature stop codons (p.L788fsX794, p.L694fsX722 e p.E380X) and truncated proteins, without the transcriptional activator domain. p.L788fsX794 was identified in a girl with short stature, polydactyly, epilepsy and hypoglycemia. She had GH, TSH, ACTH, prolactina, LH and FSH deficiencies. Two uncles had IGHD and one cousin CPHD. These relatives, the mother and other maternal relatives had polydactyly and carried the mutation. p.L694fsX722 was identified in a boy with short stature due to GHD who also had cleft lip and palate. His healthy father also carried the mutation. p.E380X was identified in an infant with delayed development, hypoglycemia, polyuria and polydipsia. She had GH, ACTH, TSH and ADH deficiencies. Her apparently normal mother also carried the mutation. All patients with GHD and GLI2 mutations had an EPP (not visualized in the patient with p.E380X), hypoplastic anterior pituitary lobe and absence of holoprosencephaly on MRI. Eighteen non-synonymous variants in GLI2 were identified in 24 patients. Sixteen of these were considered deleterious in at least one in silico prediction program and ten of these were not found in the control population. The phenotype was mainly of CPHD and EPP without holoprosencephaly. Several synonymous and intronic GLI2 variants and polymorphisms apparently without functional consequences were identified. Conclusions: No mutations in GHRH were identified and if mutations in this gene exist as a cause of IGHD, they must be very rare. Variants in GLI2 are frequent (15%) indicating its important role in the etiology of GHD. Furthermore, we expanded the clinical spectrum of patients with GLI2 mutations characterized by IGHD or CPHD including diabetes insipidus, ectopic posterior pituitary lobe (in most patients) and absence of holoprosencephaly. Additional features were polydactyly and midline facial defects and the inheritance was autosomal dominant with incomplete penetrance