Knowledge discovery using multiple sources of biological data

The primary aim of this dissertation is to develop data mining tools for knowledge discovery in biomedical data when multiple (homogeneous or heterogeneous) sources of data are available. The central hypothesis is that, when information from multiple sources of data are used appropriately and effectively, knowledge discovery can be better achieved than what is possible from only a single source. ^ Recent advances in high-throughput technology have enabled biomedical researchers to generate large volumes of diverse types of data on a genome-wide scale. These data include DNA sequences, gene expression measurements, and much more; they provide the motivation for building analysis tools to elucidate the modular organization of the cell. The challenges include efficiently and accurately extracting information from the multiple data sources; representing the information effectively, developing analytical tools, and interpreting the results in the context of the domain. ^ The first part considers the application of feature-level integration to design classifiers that discriminate between soil types. The machine learning tools, SVM and KNN, were used to successfully distinguish between several soil samples. ^ The second part considers clustering using multiple heterogeneous data sources. The resulting Multi-Source Clustering (MSC) algorithm was shown to have a better performance than clustering methods that use only a single data source or a simple feature-level integration of heterogeneous data sources. ^ The third part proposes a new approach to effectively incorporate incomplete data into clustering analysis. Adapted from K-means algorithm, the Generalized Constrained Clustering (GCC) algorithm makes use of incomplete data in the form of constraints to perform exploratory analysis. Novel approaches for extracting constraints were proposed. For sufficiently large constraint sets, the GCC algorithm outperformed the MSC algorithm. ^ The last part considers the problem of providing a theme-specific environment for mining multi-source biomedical data. The database called PlasmoTFBM, focusing on gene regulation of Plasmodium falciparum, contains diverse information and has a simple interface to allow biologists to explore the data. It provided a framework for comparing different analytical tools for predicting regulatory elements and for designing useful data mining tools. ^ The conclusion is that the experiments reported in this dissertation strongly support the central hypothesis.^

Bioinformatic analysis for exploring relationships between genes and gene products

To carry out their specific roles in the cell, genes and gene products often work together in groups, forming many relationships among themselves and with other molecules. Such relationships include physical protein-protein interaction relationships, regulatory relationships, metabolic relationships, genetic relationships, and much more. With advances in science and technology, some high throughput technologies have been developed to simultaneously detect tens of thousands of pairwise protein-protein interactions and protein-DNA interactions. However, the data generated by high throughput methods are prone to noise. Furthermore, the technology itself has its limitations, and cannot detect all kinds of relationships between genes and their products. Thus there is a pressing need to investigate all kinds of relationships and their roles in a living system using bioinformatic approaches, and is a central challenge in Computational Biology and Systems Biology. This dissertation focuses on exploring relationships between genes and gene products using bioinformatic approaches. Specifically, we consider problems related to regulatory relationships, protein-protein interactions, and semantic relationships between genes. A regulatory element is an important pattern or "signal", often located in the promoter of a gene, which is used in the process of turning a gene "on" or "off". Predicting regulatory elements is a key step in exploring the regulatory relationships between genes and gene products. In this dissertation, we consider the problem of improving the prediction of regulatory elements by using comparative genomics data. With regard to protein-protein interactions, we have developed bioinformatics techniques to estimate support for the data on these interactions. While protein-protein interactions and regulatory relationships can be detected by high throughput biological techniques, there is another type of relationship called semantic relationship that cannot be detected by a single technique, but can be inferred using multiple sources of biological data. The contributions of this thesis involved the development and application of a set of bioinformatic approaches that address the challenges mentioned above. These included (i) an EM-based algorithm that improves the prediction of regulatory elements using comparative genomics data, (ii) an approach for estimating the support of protein-protein interaction data, with application to functional annotation of genes, (iii) a novel method for inferring functional network of genes, and (iv) techniques for clustering genes using multi-source data.

Dissecting the Functional Impacts of Non-Coding Genetic Variation

<p>A large proportion of the variation in traits between individuals can be attributed to variation in the nucleotide sequence of the genome. The most commonly studied traits in human genetics are related to disease and disease susceptibility. Although scientists have identified genetic causes for over 4,000 monogenic diseases, the underlying mechanisms of many highly prevalent multifactorial inheritance disorders such as diabetes, obesity, and cardiovascular disease remain largely unknown. Identifying genetic mechanisms for complex traits has been challenging because most of the variants are located outside of protein-coding regions, and determining the effects of such non-coding variants remains difficult. In this dissertation, I evaluate the hypothesis that such non-coding variants contribute to human traits and diseases by altering the regulation of genes rather than the sequence of those genes. I will specifically focus on studies to determine the functional impacts of genetic variation associated with two related complex traits: gestational hyperglycemia and fetal adiposity. At the genomic locus associated with maternal hyperglycemia, we found that genetic variation in regulatory elements altered the expression of the HKDC1 gene. Furthermore, we demonstrated that HKDC1 phosphorylates glucose in vitro and in vivo, thus demonstrating that HKDC1 is a fifth human hexokinase gene. At the fetal-adiposity associated locus, we identified variants that likely alter VEPH1 expression in preadipocytes during differentiation. To make such studies of regulatory variation high-throughput and routine, we developed POP-STARR, a novel high throughput reporter assay that can empirically measure the effects of regulatory variants directly from patient DNA. By combining targeted genome capture technologies with STARR-seq, we assayed thousands of haplotypes from 760 individuals in a single experiment. We subsequently used POP-STARR to identify three key features of regulatory variants: that regulatory variants typically have weak effects on gene expression; that the effects of regulatory variants are often coordinated with respect to disease-risk, suggesting a general mechanism by which the weak effects can together have phenotypic impact; and that nucleotide transversions have larger impacts on enhancer activity than transitions. Together, the findings presented here demonstrate successful strategies for determining the regulatory mechanisms underlying genetic associations with human traits and diseases, and value of doing so for driving novel biological discovery.</p>

Targeted Gene Repression Technologies for Regenerative Medicine, Genomics, and Gene Therapy

<p>Gene regulation is a complex and tightly controlled process that defines cell function in physiological and abnormal states. Programmable gene repression technologies enable loss-of-function studies for dissecting gene regulation mechanisms and represent an exciting avenue for gene therapy. Established and recently developed methods now exist to modulate gene sequence, epigenetic marks, transcriptional activity, and post-transcriptional processes, providing unprecedented genetic control over cell phenotype. Our objective was to apply and develop targeted repression technologies for regenerative medicine, genomics, and gene therapy applications. We used RNA interference to control cell cycle regulation in myogenic differentiation and enhance the proliferative capacity of tissue engineered cartilage constructs. These studies demonstrate how modulation of a single gene can be used to guide cell differentiation for regenerative medicine strategies. RNA-guided gene regulation with the CRISPR/Cas9 system has rapidly expanded the targeted repression repertoire from silencing single protein-coding genes to modulation of genes, promoters, and other distal regulatory elements. In order to facilitate its adaptation for basic research and translational applications, we demonstrated the high degree of specificity for gene targeting, gene silencing, and chromatin modification possible with Cas9 repressors. The specificity and effectiveness of RNA-guided transcriptional repressors for silencing endogenous genes are promising characteristics for mechanistic studies of gene regulation and cell phenotype. Furthermore, our results support the use of Cas9-based repressors as a platform for novel gene therapy strategies. We developed an in vivo AAV-based gene repression system for silencing endogenous genes in a mouse model. Together, these studies demonstrate the utility of gene repression tools for guiding cell phenotype and the potential of the RNA-guided CRISPR/Cas9 platform for applications such as causal studies of gene regulatory mechanisms and gene therapy.</p>

Punctuated evolution and transitional hybrid network in an ancestral cell cycle of fungi

�� Medina et al.Although cell cycle control is an ancient, conserved, and essential process, some core animal and fungal cell cycle regulators share no more sequence identity than non-homologous proteins. Here, we show that evolution along the fungal lineage was punctuated by the early acquisition and entrainment of the SBF transcription factor through horizontal gene transfer. Cell cycle evolution in the fungal ancestor then proceeded through a hybrid network containing both SBF and its ancestral animal counterpart E2F, which is still maintained in many basal fungi. We hypothesize that a virally-derived SBF may have initially hijacked cell cycle control by activating transcription via the cis-regulatory elements targeted by the ancestral cell cycle regulator E2F, much like extant viral oncogenes. Consistent with this hypothesis, we show that SBF can regulate promoters with E2F binding sites in budding yeast.

Predicting Transcript Production Rates in Yeast With Sparse Linear Models

<p>To provide biological insights into transcriptional regulation, a couple of groups have recently presented models relating the promoter DNA-bound transcription factors (TFs) to downstream gene���s mean transcript level or transcript production rates over time. However, transcript production is dynamic in response to changes of TF concentrations over time. Also, TFs are not the only factors binding to promoters; other DNA binding factors (DBFs) bind as well, especially nucleosomes, resulting in competition between DBFs for binding at same genomic location. Additionally, not only TFs, but also some other elements regulate transcription. Within core promoter, various regulatory elements influence RNAPII recruitment, PIC formation, RNAPII searching for TSS, and RNAPII initiating transcription. Moreover, it is proposed that downstream from TSS, nucleosomes resist RNAPII elongation.</p><p>Here, we provide a machine learning framework to predict transcript production rates from DNA sequences. We applied this framework in the S. cerevisiae yeast for two scenarios: a) to predict the dynamic transcript production rate during the cell cycle for native promoters; b) to predict the mean transcript production rate over time for synthetic promoters. As far as we know, our framework is the first successful attempt to have a model that can predict dynamic transcript production rates from DNA sequences only: with cell cycle data set, we got Pearson correlation coefficient Cp = 0.751 and coefficient of determination r2 = 0.564 on test set for predicting dynamic transcript production rate over time. Also, for DREAM6 Gene Promoter Expression Prediction challenge, our fitted model outperformed all participant teams, best of all teams, and a model combining best team���s k-mer based sequence features and another paper���s biologically mechanistic features, in terms of all scoring metrics.</p><p>Moreover, our framework shows its capability of identifying generalizable fea- tures by interpreting the highly predictive models, and thereby provide support for associated hypothesized mechanisms about transcriptional regulation. With the learned sparse linear models, we got results supporting the following biological insights: a) TFs govern the probability of RNAPII recruitment and initiation possibly through interactions with PIC components and transcription cofactors; b) the core promoter amplifies the transcript production probably by influencing PIC formation, RNAPII recruitment, DNA melting, RNAPII searching for and selecting TSS, releasing RNAPII from general transcription factors, and thereby initiation; c) there is strong transcriptional synergy between TFs and core promoter elements; d) the regulatory elements within core promoter region are more than TATA box and nucleosome free region, suggesting the existence of still unidentified TAF-dependent and cofactor-dependent core promoter elements in yeast S. cerevisiae; e) nucleosome occupancy is helpful for representing +1 and -1 nucleosomes��� regulatory roles on transcription.</p>

REST is a hypoxia-responsive transcriptional repressor

Cellular exposure to hypoxia results in altered gene expression in a range of physiologic and pathophysiologic states. Discrete cohorts of genes can be either up- or down-regulated in response to hypoxia. While the Hypoxia-Inducible Factor (HIF) is the primary driver of hypoxia-induced adaptive gene expression, less is known about the signalling mechanisms regulating hypoxia-dependent gene repression. Using RNA-seq, we demonstrate that equivalent numbers of genes are induced and repressed in human embryonic kidney (HEK293) cells. We demonstrate that nuclear localization of the Repressor Element 1-Silencing Transcription factor (REST) is induced in hypoxia and that REST is responsible for regulating approximately 20% of the hypoxia-repressed genes. Using chromatin immunoprecipitation assays we demonstrate that REST-dependent gene repression is at least in part mediated by direct binding to the promoters of target genes. Based on these data, we propose that REST is a key mediator of gene repression in hypoxia.

Identifica����o de genes MUTM em BACs da cana-de-a��ucar e caracteriza����o preliminar destes genes e seus promotores

Sugarcane has an importance in Brazil due to sugar and biofuel production. Considering this aspect, there is basic research being done in order to understand its physiology to improve production. The aim of this research is the Base Excision Repair pathway, in special the enzyme MUTM DNA-glycosylase (formamidopyrimidine) which recognizes oxidized guanine in DNA. The sugarcane scMUTM genes were analyzed using four BACs (Bacterial Artificial Chromosome) from a sugarcane genomic library from R570 cultivar. The resulted showed the presence in the region that had homology to scMUTM the presence of transposable elements. Comparing the similarity, it was observed a highest similarity to Sorghum bicolor sequence, both nucleotide and peptide sequences. Furthermore, promoter regions from MUTM genes in some grass showed different cis-regulatory elements, among which, most were related to oxidative stress, suggesting a gene regulation by oxidative stress

Hormone-Mediated Gene-Specific Translation Regulation

The central role of translation regulation in the control of critical cellular processes has long been recognized. Yet the systematic exploration of quantitative changes in translation at a genome-wide scale in response to specific stimuli has only recently become technically feasible. Using a genetic approach, we have identified new Arabidopsis weak-ethylene insensitive mutants that also display defects in translation, which suggested the existence of a previously unknown molecular module involved in ethylene-mediated translation regulation of components of this signaling pathway. To explore this link in detail, we implemented for Arabidopsis the ribosome-footprinting technology, which enables the study of translation at a whole-genome level at single codon resolution[1]. Using ribosome-footprinting we examined the effects of short exposure to ethylene on the Arabidopsis translatome looking for ethylene-triggered changes in translation rates that could not be explained by changes in transcript levels. The results of this research, in combination with the characterization of a subset of the aforementioned weak-ethylene insensitive mutants that are defective in the UPF genes (core-components of the nonsense-mediated mRNA decay machinery), uncovered a translation-based branch of the ethylene signaling pathway[2]. In the presence of ethylene, translation of a negative regulator of ethylene signaling EBF2 is repressed, despite induced transcription of this gene. These translational effects of ethylene require the long 3��UTR of EBF2 (3��EBF2), which is recognized by the C-terminal end of the key ethylene-signaling protein EIN2 (EIN2C) in the cytoplasm once EIN2C is released from the ER-membrane by proteolytic cleavage. EIN2C binds the 3��EBF2, recruits the UPF proteins and moves to P-bodies, where the translation of EBF2 in inhibited despite its mRNA accumulation. Once the ethylene signal is withdrawn, the translation of the stored EBF2 mRNAs is resumed, thus rapidly dampening the ethylene response. These findings represent a mechanistic paradigm of gene-specific regulation of translation in response to a key growth regulator. Translation regulatory elements can be located in both 3��� and 5��� UTRs. We are now focusing on the ead1 and ead2 mutants, another set of ethylene-signaling mutants defective in translational regulation. Ribosome-footprinting on the ead1 mutant revealed an accumulation of translating ribosomes in the 5��UTRs of uORF-containing genes and reduction in the levels of ribosomes in the main ORF. The mutant is also impaired in the translation of GFP when this reporter is fused to WT 5��UTR of potential EAD1 targets but not when GFP is fused to the uORF-less versions of the same 5��UTRs. Our hypothesis is that EAD1/2 work as a complex that is required for the efficient translation of mRNAs that have common structural (complex 5��UTR with uORFs) and functional (regulation of key cellular processes) features. We are working towards the identification of the conditions where the EAD1 regulation of translation is required. [1] Ingolia, N. et al. (2009) Genome-Wide Analysis in Vivo of Translation with Nucleotide Resolution Using Ribosome Profiling. Science, 324; 218-222 [2] Merchante, C. et al. (2015) Gene-Specific Translation Regulation Mediated by the Hormone-Signaling Molecule EIN2. Cell, 163(3): 684-697

La r��gulation de la transcription dans les cellules canc��reuses

La chromatine eucaryote, contenant l���ADN et de nombreuses prot��ines de liaison, subit une compaction dynamique et fonctionnelle �� de multiples ��chelles, n��cessaire pour la r��gulation de nombreux processus biologiques comme l���expression g��nique. Afin de d��finir et maintenir les fonctions cellulaires, les prot��ines de la r��gulation transcriptionnelle et de la r��gulation de la structure chromatinienne agissent de concert pour orchestrer les programmes d���expression g��nique des cellules. Les facteurs de transcription op��rent de mani��re combin��e et hi��rarchique au niveau de nombreux ��l��ments r��gulateurs, dont le fonctionnement est complexe et int��gr��, capables de g��n��rer de larges boucles topologiques pour r��guler sp��cifiquement un promoteur cible �� un moment pr��cis. Le co-activateur transcriptionnel Mediator sert de centre d���interpr��tation, en connectant physiquement les r��gulateurs de la transcription �� la machinerie transcriptionnelle, pour g��n��rer une r��ponse calibr��e. Le complexe de maintenance de la structure des chromosomes, Cohesin, est impliqu�� dans la formation et la stabilisation des connexions g��nomiques �� l�����chelle de nombreuses structures chromatiniennes tri-dimensionnelles dont la caract��risation fonctionnelle commence �� ��tre explor��e. Ensemble, les facteurs de transcription, Mediator et Cohesin contr��lent l���expression des programmes responsables du maintien de l���identit�� cellulaire. Les cellules canc��reuses pr��sentent de nombreuses d��r��gulations au niveau transcriptionnel, et donc un programme d���expression aberrant. Nous avons d��montr�� que les m��canismes de r��gulation qui contr��lent les cellules canc��reuses sont conserv��s, et proposons une strat��gie qui permette de r��v��ler les facteurs clefs dans la progression tumorale. Nous avons appliqu�� cette strat��gie �� la probl��matique de la r��sistance endocrinienne dans la progression du cancer du sein hormono-d��pendant. Les r��sultats obtenus sugg��rent que le complexe transcriptionnel AP-1 pourrait ��tre impliqu�� dans l���acquisition et/ou le maintien de la r��sistance, en r��ponse aux pressions de s��lection induites par les traitements hormonaux. Nous proposons une adaptation progressive et agressive des cellules canc��reuses par re-hi��rarchisation des facteurs clefs qui contr��lent sa croissance.

Characterization��of��the��cis���regulatory��regions�� governing��ojoplano��locus��

Ojoplano (opo) is a vertebrate-specific gene that was first identified in medaka fish as a recessive mutant, showing both neural crest defects and a failure of optic cup folding. In humans, this gene is associated with genetic diseases including hereditary craniofacial malformations and schizophrenia. It is localized in a 2Mb gene desert flanked by insulator sequences, between the genes SLC35B and TFAp2a. This region, syntenic between all vertebrates, represents only 2% of chromosome 6. However, it includes 23% of the all conserved cis-regulatory elements in this chromosome. Using transgenesis assays in zebrafish, we screened the enhancer activity of this locus and obtain a collection of nine enhancers. These regulatory elements were all conserved from human to teleosts and showed epigenetic marks for enhancer activity. We could associate multiple enhancers with ororfacial celfting disease and in order to explore the functionality of the enhancers, we performed a bioinformatics analysis to search for transcription factor bindings in the enhancer sequences. In terms of gene regulation we observe that H6:10137 opo enhancer has two Vsx2 binding sites and that this transcription factor regulates the expression of opo during eye development. Our findings suggest that the regulation of Vsx2 over opo is essential for optic cup folding. So far, there is no clear connection between optic cup patterning and morphogenesis. Vsx2 provides this link by controlling the expression of opo.

Ruolo di Glutaredossina-2 nella trasformazione tumorale oncocitaria

Gli oncocitomi sono tumori epiteliali caratterizzati da un accumulo di mitocondri strutturalmente e funzionalmente compromessi, a prognosi generalmente benigna. Le cause genetiche della trasformazione oncocitaria sono tuttora sconosciute; pertanto, lo studio di oncocitomi in contesti familiari sindromici �� utile nella ricerca dei determinanti genetici predisponenti il fenotipo. Diversi membri di una famiglia affetta da sindrome dell���iperparatiroidismo con tumore della mandibola (HPT-JT), dovuta ad un'ampia delezione in CDC73, hanno mostrato recidiva di tumori paratiroidei oncocitari. Il sequenziamento dell���esoma ha escluso mutazioni private della famiglia; all'interno della delezione ereditata, tuttavia, sono stati individuati elementi regolatori del gene glutaredossina 2 (GLRX2), codificante un'isoforma mitocondriale deputata alla deglutationilazione proteica reversibile -modificazione modulante l���attivit�� di numerosi target- il cui ruolo nel cancro non �� noto. La proteina �� risultata assente in tutti i tumori e dimezzata nei tessuti sani dei soggetti. Per indagare se la sua assenza alteri la deglutationilazione proteica predisponendo al fenotipo oncocitario, sono stati generati modelli cellulari TPC1 e HCT116 GLRX2 KO in cui sono stati riscontrati un ridotto tasso proliferativo ed un'alterata glutationilazione proteica, particolarmente in seguito a stress ossidativo. Un esperimento pilota in vivo ha mostrato cellule KO oncocitoidi, con mitocondri morfologicamente alterati, suggerendo che l���alterazione redox innescata dall���assenza di GLRX2 possa indurre una disfunzione metabolica mitocondriale tale da mimare quelle osservate negli oncocitomi. L���analisi proteomica ha individuato diversi target di glutationilazione nei campioni KO identificando proteine del ciclo di Krebs e della catena respiratoria mitocondriale. In particolare, una marcata glutationilazione del complesso della piruvato deidrogenasi (PDHc) �� stata correlata ad una ridotta sintesi di ATP dipendente da piruvato. Considerando l'importanza dello stress ossidativo nella fisiopatologia del cancro ed il ruolo del glutatione nella risposta antiossidante, GLRX2 rappresenta un potenziale candidato nella regolazione del metabolismo ossidativo nelle cellule tumorali esposte allo stress e nella modulazione del fenotipo tumorale.

Regulatory region in choline acetyltransferase gene directs developmental and tissue-specific expression in transgenic mice.

Acetylcholine, one of the main neurotransmitters in the nervous system, is synthesized by the enzyme choline acetyltransferase (ChAT; acetyl-CoA:choline O-acetyltransferase, EC 2.3.1.6). The molecular mechanisms controlling the establishment, maintenance, and plasticity of the cholinergic phenotype in vivo are largely unknown. A previous report showed that a 3800-bp, but not a 1450-bp, 5' flanking segment from the rat ChAT gene promoter directed cell type-specific expression of a reporter gene in cholinergic cells in vitro. Now we have characterized a distal regulatory region of the ChAT gene that confers cholinergic specificity on a heterologous downstream promoter in a cholinergic cell line and in transgenic mice. A 2342-bp segment from the 5' flanking region of the ChAT gene behaved as an enhancer in cholinergic cells but as a repressor in noncholinergic cells in an orientation-independent manner. Combined with a heterologous basal promoter, this fragment targeted transgene expression to several cholinergic regions of the central nervous system of transgenic mice, including basal forebrain, cortex, pons, and spinal cord. In eight independent transgenic lines, the pattern of transgene expression paralleled qualitatively and quantitatively that displayed by endogenous ChAT mRNA in various regions of the rat central nervous system. In the lumbar enlargement of the spinal cord, 85-90% of the transgene expression was targeted to the ventral part of the cord, where cholinergic alpha-motor neurons are located. Transgene expression in the spinal cord was developmentally regulated and responded to nerve injury in a similar way as the endogenous ChAT gene, indicating that the 2342-bp regulatory sequence contains elements controlling the plasticity of the cholinergic phenotype in developing and injured neurons.

Regulatory effects of an inhibitor from Plathymenia foliolosa seeds on the larval development of Anagasta kuehniella (Lepidoptera)

The Mediterranean flour moth, Anagasta kuehniella, is one of the most important insect pests of grains, reported worldwide, feeding on stored grains and products of rice, rye, corn and wheat. Plants synthesize a variety of molecules, including trypsin inhibitors, to defend themselves against attack by insects. In this study, a trypsin inhibitor (PFTI) was purified from Plathymenia foliolosa (Benth.) seeds and was tested for insect growth regulatory effect. The survival and mass of A. kuehniella larvae feeding on control seeds were about 82.7% and 5 ring, respectively, whereas survival on seeds containing 0.7% PFTI was about 56%, while a 66.1% reduction in the average mass of the larvae was observed. The results from dietary utilization experiments with A. kuehniella larvae showed a reduction in efficiency of conversion of ingested food and digested food, and an increase in approximate digestibility and metabolic cost. The level of trypsin was significantly decreased in larval midgut and increased in the feces of larvae reared on a diet containing 0.7% PFTI. Results indicate that PFTI possesses a toxic effect against A. kuehniella larvae. (C) 2008 Elsevier Inc. All rights reserved.

Pancreatic-specific expression of the glucose transporter type 2 gene: identification of cis-elements and islet-specific trans-acting factors.

A defect in glucose sensing of the pancreatic beta-cells has been observed in several animal models of type II diabetes and has been correlated with a reduced gene expression of the glucose transporter type 2 (Glut2). In a transgenic mouse model, expression of Glut2 antisense RNA in pancreatic beta-cells has recently been shown to be associated with an impaired glucose-induced insulin secretion and the development of diabetes. To identify factors that may be involved in the specific decrease of Glut2 in the beta-cells of the diabetic animal, an attempt was made to localize the cis-elements and trans-acting factors involved in the control of Glut2 expression in the endocrine pancreas. It was demonstrated by transient transfection studies that only 338 base pairs (bp) of the murine Glut2 proximal promoter are needed for reporter gene expression in pancreatic islet-derived cell lines, whereas no activity was detected in nonpancreatic cells. Three cis-elements, GTI, GTII, and GTIII, have been identified by DNAse I footprinting and gel retardation experiments within these 338 bp. GTI and GTIII bind distinct but ubiquitously expressed trans-acting factors. On the other hand, nuclear proteins specifically expressed in pancreatic cell lines interact with GTII, and their relative abundance correlates with endogenous Glut2 expression. These GTII-binding factors correspond to nuclear proteins of 180 and 90 kilodaltons as defined by Southwestern analysis. The 180-kilodalton factor is present in pancreatic beta-cell lines but not in an alpha-cell line. Mutation of the GTI or GTIII cis-elements decreases transcriptional activity directed by the 338-bp promoter, whereas mutation of GTII increases gene transcription. Thus negative and positive regulatory sequences are identified within the proximal 338 bp of the GLUT2 promoter and may participate in the islet-specific expression of the gene by binding beta-cell specific trans-acting factors.