Transduction motif analysis of gastric cancer based on a human signaling network

To investigate signal regulation models of gastric cancer, databases and literature were used to construct the signaling network in humans. Topological characteristics of the network were analyzed by CytoScape. After marking gastric cancer-related genes extracted from the CancerResource, GeneRIF, and COSMIC databases, the FANMOD software was used for the mining of gastric cancer-related motifs in a network with three vertices. The significant motif difference method was adopted to identify significantly different motifs in the normal and cancer states. Finally, we conducted a series of analyses of the significantly different motifs, including gene ontology, function annotation of genes, and model classification. A human signaling network was constructed, with 1643 nodes and 5089 regulating interactions. The network was configured to have the characteristics of other biological networks. There were 57,942 motifs marked with gastric cancer-related genes out of a total of 69,492 motifs, and 264 motifs were selected as significantly different motifs by calculating the significant motif difference (SMD) scores. Genes in significantly different motifs were mainly enriched in functions associated with cancer genesis, such as regulation of cell death, amino acid phosphorylation of proteins, and intracellular signaling cascades. The top five significantly different motifs were mainly cascade and positive feedback types. Almost all genes in the five motifs were cancer related, including EPOR,MAPK14, BCL2L1, KRT18,PTPN6, CASP3, TGFBR2,AR, and CASP7. The development of cancer might be curbed by inhibiting signal transductions upstream and downstream of the selected motifs.

Expression analysis of miRNA and target mRNAs in esophageal cancer

We aimed to investigate miRNAs and related mRNAs through a network-based approach in order to learn the crucial role that they play in the biological processes of esophageal cancer. Esophageal squamous-cell carcinoma (ESCC) and adenocarcinoma (EAC)-related miRNA and gene expression data were downloaded from the Gene Expression Omnibus database, and differentially expressed miRNAs and genes were selected. Target genes of differentially expressed miRNAs were predicted and their regulatory networks were constructed. Differentially expressed miRNA analysis selected four miRNAs associated with EAC and ESCC, among which hsa-miR-21 and hsa-miR-202 were shared by both diseases. hsa-miR-202 was reported for the first time to be associated with esophageal cancer in the present study. Differentially expressed miRNA target genes were mainly involved in cancer-related and signal-transduction pathways. Functional categories of these target genes were related to transcriptional regulation. The results may indicate potential target miRNAs and genes for future investigations of esophageal cancer.

Gene expression profiling analysis of lung adenocarcinoma

The present study screened potential genes related to lung adenocarcinoma, with the aim of further understanding disease pathogenesis. The GSE2514 dataset including 20 lung adenocarcinoma and 19 adjacent normal tissue samples from 10 patients with lung adenocarcinoma aged 45-73 years was downloaded from Gene Expression Omnibus. Differentially expressed genes (DEGs) between the two groups were screened using the t-test. Potential gene functions were predicted using functional and pathway enrichment analysis, and protein-protein interaction (PPI) networks obtained from the STRING database were constructed with Cytoscape. Module analysis of PPI networks was performed through MCODE in Cytoscape. In total, 535 upregulated and 465 downregulated DEGs were identified. These included ATP5D, UQCRC2, UQCR11 and genes encoding nicotinamide adenine dinucleotide (NADH), which are mainly associated with mitochondrial ATP synthesis coupled electron transport, and which were enriched in the oxidative phosphorylation pathway. Other DEGs were associated with DNA replication (PRIM1, MCM3, and RNASEH2A), cell surface receptor-linked signal transduction and the enzyme-linked receptor protein signaling pathway (MAPK1, STAT3, RAF1, and JAK1), and regulation of the cytoskeleton and phosphatidylinositol signaling system (PIP5K1B, PIP5K1C, and PIP4K2B). Our findings suggest that DEGs encoding subunits of NADH, PRIM1, MCM3, MAPK1, STAT3, RAF1, and JAK1 might be associated with the development of lung adenocarcinoma.

Pertussis: infection, vaccination and gene polymorphisms

Pertussis or whooping cough is a human respiratory tract infection and a vaccine-preventable disease that is caused by Bordetella pertussis bacteria. Pertussis vaccination has been part of the Finnish national vaccine program since 1952. Despite extensive vaccinations, the incidence of pertussis has increased in many countries during the last decades. Large epidemics have been observed also in countries with high vaccine coverage. Inter-individual variation in immune responses is always encountered after vaccination. Low vaccine responses may cause vulnerability to pertussis even straight after vaccination. Reasons for low responses are not fully understood. The innate immune system is responsible for the initial recognition of pathogens and vaccine antigens. The role of innate immunity on pertussis immunity has not been thoroughly investigated. Mannose-binding lectin (MBL) and toll-like receptor 4 (TLR4) are important molecules of the innate immune system and in the recognition of pathogens. Cytokines form a signaling network that have a notable role in immune responses after infections as well as after vaccinations. Single nucleotide polymorphism (SNP) is common in genes encoding these molecules and the polymorphisms have been reported to affect vaccine response after viral and bacterial vaccines. This study investigated the gene polymorphisms of MBL2, TLR4 and interleukin (IL)-10 promoter and their association with vaccine responses after acellular pertussis (aP) vaccination in Finnish adolescents and infants. Cell-mediated immune responses were investigated ten years after the previous pertussis vaccinations in young adults. In addition, the role of MBL deficiency in pertussis infection susceptibility was evaluated. The results of this study show that subjects with TLR4 polymorphism had lower antibody production and persistence after aP vaccination compared with normal allele. A specific SNP in the TLR4 gene was associated with decreased antibody responses and persistence in adolescents after aP booster vaccination. Cell-mediated immune responses were partly detected ten years after the previous vaccination; booster vaccine clearly enhanced the responses. In addition, subjects with IL-10 polymorphism had altered cell-mediated immune responses. MBL deficiency was found to be more frequent in pertussis patients than healthy controls but the polymorphism of MBL2 was not associated with antibody responses after acellular pertussis vaccination. The novel finding of this study was that genetic variation in the innate immune system seems to play a role in altered pertussis vaccine responses as well as in pertussis infection. These new findings enlighten the mechanisms behind the low responses after pertussis vaccination and help to predict risk factors related to this phenomenon.

Novel cancer-related regulatory targets for the signalling sphingolipids sphingosine-1-phosphate and sphingosylphosphorylcholine

The signalling sphingolipid sphingosine-1-phosphate (S1P) is necessary for development of the immune system and vasculature and on a cellular level regulates migration, proliferation and survival. Due to these traits S1P has an important role in cancer biology. It is considered a primarily cancer-promoting factor and the enzyme which produces it, sphingosine kinase (SphK), is often over-expressed in tumours. S1P is naturally present in the blood, lymph, tissue fluids and cell cytoplasm and functions through its cell surface receptors (S1P1-5) and as an intracellular second messenger. Sphingosylphosphorylcholine (SPC) is closely related to S1P and has similar regulatory functions but has not been extensively studied. Both S1P and SPC are able to evoke either stimulatory or inhibitory effects on cancer cells depending on the context. The aim of this thesis work was to study novel regulatory targets of S1P and SPC, which mediate the effects of S1P/SPC signalling on cancer cell behaviour. The investigated targets are the transcription factor hypoxia-inducible factor 1 (HIF-1), the intermediate filament protein vimentin and components of the Hippo signalling pathway. HIF-1 has a central role in cancer biology, as it regulates a multitude of cancer-related genes and is potently activated by intratumoural hypoxia through stabilization of the regulatory subunit HIF-1α. Tumours typically harbour high HIF-1α levels and HIF-1, in turn, facilitates tumour angiogenesis and metastasis and regulates cancer cell metabolism. We found S1P to induce follicular thyroid cancer cell migration in normal oxygen conditions by increasing HIF-1α synthesis and stability and subsequently HIF-1 activity. Vimentin is a central regulator of cell motility and is also commonly over-expressed in cancers. Vimentin filaments form a cytoskeletal network in mesenchymal cells as well as epithelial cancer cells which have gone through epithelial-mesenchymal transition (EMT). Vimentin is heavily involved in cancer cell invasion and gives tumours metastatic potential. We saw both S1P and SPC induce phosphorylation of vimentin monomers and reorganization of the vimentin filament network in breast and anaplastic thyroid cancer cells. We also found vimentin to mediate the anti-migratory effect of S1P/SPC on these cells. The Hippo pathway is a novel signalling cascade which controls cancer-related processes such as cellular proliferation and survival in response to various extracellular signals. The core of the pathway consists of the transcriptional regulators YAP and TAZ, which activate predominantly cancer-promoting genes, and the tumour suppressive kinases Lats1 and Lats2 which inhibit YAP/TAZ. Increased YAP expression and activity has been reported for a wide variety of cancers. We found SPC to regulate Hippo signalling in breast cancer cells in a two-fold manner through effects on phosphorylation status, activity and/or expression of YAP and Lats2. In conclusion, this thesis reveals new details of the signalling function of S1P and SPC and regulation of the central oncogenic factors HIF-1 and vimentin as well as the novel cancer-related pathway Hippo.

Primary structure and expression studies of the dihydrofolate reductase gene (DFRI) of Saccharomyces cerevisiae

The nucleotide sequence of a genomic DNA fragment thought previously to contain the dihydrofolate reductase gene (DFR1) of Saccharomyces cerevisiae by genetic criteria was determined. This DNA fragment of 1784' basepairs contains a large open reading frame from position 800 to 1432, which encodes a enzyme with a predicted molecular weight of 24,229.8 Daltons. Analysis of the amino acid sequence of this protein revealed that the yeast polypep·tide contained 211 amino acids, compared to the 186 residues commonly found in the polypeptides of other eukaryotes. The difference in size of the gene product can be attributed mainly to an insert in the yeast gene. Within this region, several consensus sequences required for processing of yeast nuclear and class II mitochondrial introns were identified, but appear not sufficient for the RNA splicing. The primary structure of the yeast DHFR protein has considerable sequence homology with analogous polypeptides from other organisms, especially in the consensus residues involved in cofactor and/or inhibitor binding. Analysis of the nucleotide sequence also revealed the presence of a number of canonical sequences identified in yeast as having some function in the regulation of gene expression. These include UAS elements (TGACTC) required for tIle amino acid general control response, and "TATA H boxes as well as several consensus sequences thought to be required for transcriptional termination and polyadenylation. Analysis of the codon usage of the yeast DFRl coding region revealed a codon bias index of 0.0083. this valve very close to zero suggestes 3 that the gene is expressed at a relatively low level under normal physiological conditions. The information concerning the organization of the DFRl were used to construct a variety of fusions of its 5' regulatory region with the coding region of the lacZ gene of E. coli. Some of such fused genes encoded a fusion product that expressed in E.coli and/or in yeast under the control of the 5' regulatory elements of the DFR1. Further studies with these fusion constructions revealed that the beta-galactosidase activity encoded on multicopy plasmids was stimulated transiently by prior exposure of yeast host cells to UV light. This suggests that the yeast PFRl gene is indu.ced by UV light and nlay in1ply a novel function of DHFR protein in the cellular responses to DNA damage. Another novel f~ature of yeast DHFR was revealed during preliminary studies of a diploid strain containing a heterozygous DFRl null allele. The strain was constructed by insertion of a URA3 gene within the coding region of DFR1. Sporulation of this diploid revealed that meiotic products segregated 2:0 for uracil prototrophy when spore clones were germinated on medium supplemented with 5-formyltetrahydrofolate (folinic acid). This finding suggests that, in addition to its catalytic activity, the DFRl gene product nlay play some role in the anabolisln of folinic acid. Alternatively, this result may indicate that Ura+ haploid segregants were inviable and suggest that the enzyme has an essential cellular function in this species.

The influence of myosin regulatory light chain phosphorylation on the contractile performance of fatigued mammalian skeletal muscle

ABSTRACT The myosm regulatory light chain (RLC) of type II fibres is phosphorylated by Ca2+ -calmodulin dependent myosin light chain kinase (skMLCK) during muscular activation. The purpose of this study was to explore the effect of skMLCK gene ablation on the fatigability of mouse skeletal muscles during repetitive stimulation. The absence of myosin RLC phosphorylation in skMLCK knockout muscles attenuated contractile performance without a significant metabolic cost. Twitch force was potentiated to a greater extent in wildtype muscles until peak force had diminished to ~60% of baseline (37.2 ± 0.05% vs. 14.3 ± 0.02%). Despite no difference in peak force (Po) and shortening velocity (Vo), rate of force development (+dP/dt) and shortening-induced deactivation (SID) were almost two-fold greater in WT muscles. The present results demonstrate that myosin RLC phosphorylation may improve contractile performance during fatigue; providing a contractile advantage to working muscles and protecting against progressive fatigue.

Disease-Gene Association Using a Genetic Algorithm

Understanding the relationship between genetic diseases and the genes associated with them is an important problem regarding human health. The vast amount of data created from a large number of high-throughput experiments performed in the last few years has resulted in an unprecedented growth in computational methods to tackle the disease gene association problem. Nowadays, it is clear that a genetic disease is not a consequence of a defect in a single gene. Instead, the disease phenotype is a reflection of various genetic components interacting in a complex network. In fact, genetic diseases, like any other phenotype, occur as a result of various genes working in sync with each other in a single or several biological module(s). Using a genetic algorithm, our method tries to evolve communities containing the set of potential disease genes likely to be involved in a given genetic disease. Having a set of known disease genes, we first obtain a protein-protein interaction (PPI) network containing all the known disease genes. All the other genes inside the procured PPI network are then considered as candidate disease genes as they lie in the vicinity of the known disease genes in the network. Our method attempts to find communities of potential disease genes strongly working with one another and with the set of known disease genes. As a proof of concept, we tested our approach on 16 breast cancer genes and 15 Parkinson's Disease genes. We obtained comparable or better results than CIPHER, ENDEAVOUR and GPEC, three of the most reliable and frequently used disease-gene ranking frameworks.

Disease-Gene Association Using Genetic Programming

As a result of mutation in genes, which is a simple change in our DNA, we will have undesirable phenotypes which are known as genetic diseases or disorders. These small changes, which happen frequently, can have extreme results. Understanding and identifying these changes and associating these mutated genes with genetic diseases can play an important role in our health, by making us able to find better diagnosis and therapeutic strategies for these genetic diseases. As a result of years of experiments, there is a vast amount of data regarding human genome and different genetic diseases that they still need to be processed properly to extract useful information. This work is an effort to analyze some useful datasets and to apply different techniques to associate genes with genetic diseases. Two genetic diseases were studied here: Parkinson’s disease and breast cancer. Using genetic programming, we analyzed the complex network around known disease genes of the aforementioned diseases, and based on that we generated a ranking for genes, based on their relevance to these diseases. In order to generate these rankings, centrality measures of all nodes in the complex network surrounding the known disease genes of the given genetic disease were calculated. Using genetic programming, all the nodes were assigned scores based on the similarity of their centrality measures to those of the known disease genes. Obtained results showed that this method is successful at finding these patterns in centrality measures and the highly ranked genes are worthy as good candidate disease genes for being studied. Using standard benchmark tests, we tested our approach against ENDEAVOUR and CIPHER - two well known disease gene ranking frameworks - and we obtained comparable results.

The cumate gene-switch: a system for regulated expression in mammalian cells

Affiliation: Sophie Broussau, Amelie Pilotte & Bernard Massie : Départment de microbiologie et immunologie, Faculté de médecine, Université de Montréal

Dissecting cell cycle protein complexes using the pptimized yeast cytosine deaminase protein-fragment complementation assay “You too can play with an edge”

Les protéines sont les produits finaux de la machinerie génétique. Elles jouent des rôles essentiels dans la définition de la structure, de l'intégrité et de la dynamique de la cellule afin de promouvoir les diverses transformations chimiques requises dans le métabolisme et dans la transmission des signaux biochimique. Nous savons que la doctrine centrale de la biologie moléculaire: un gène = un ARN messager = une protéine, est une simplification grossière du système biologique. En effet, plusieurs ARN messagers peuvent provenir d’un seul gène grâce à l’épissage alternatif. De plus, une protéine peut adopter plusieurs fonctions au courant de sa vie selon son état de modification post-traductionelle, sa conformation et son interaction avec d’autres protéines. La formation de complexes protéiques peut, en elle-même, être déterminée par l’état de modifications des protéines influencées par le contexte génétique, les compartiments subcellulaires, les conditions environmentales ou être intrinsèque à la croissance et la division cellulaire. Les complexes protéiques impliqués dans la régulation du cycle cellulaire sont particulièrement difficiles à disséquer car ils ne se forment qu’au cours de phases spécifiques du cycle cellulaire, ils sont fortement régulés par les modifications post-traductionnelles et peuvent se produire dans tous les compartiments subcellulaires. À ce jour, aucune méthode générale n’a été développée pour permettre une dissection fine de ces complexes macromoléculaires. L'objectif de cette thèse est d'établir et de démontrer une nouvelle stratégie pour disséquer les complexes protéines formés lors du cycle cellulaire de la levure Saccharomyces cerevisiae (S. cerevisiae). Dans cette thèse, je décris le développement et l'optimisation d'une stratégie simple de sélection basée sur un essai de complémentation de fragments protéiques en utilisant la cytosine déaminase de la levure comme sonde (PCA OyCD). En outre, je décris une série d'études de validation du PCA OyCD afin de l’utiliser pour disséquer les mécanismes d'activation des facteurs de transcription et des interactions protéine-protéines (IPPs) entre les régulateurs du cycle cellulaire. Une caractéristique clé du PCA OyCD est qu'il peut être utilisé pour détecter à la fois la formation et la dissociation des IPPs et émettre un signal détectable (la croissance des cellules) pour les deux types de sélections. J'ai appliqué le PCA OyCD pour disséquer les interactions entre SBF et MBF, deux facteurs de transcription clés régulant la transition de la phase G1 à la phase S. SBF et MBF sont deux facteurs de transcription hétérodimériques composés de deux sous-unités : une protéine qui peut lier directement l’ADN (Swi4 ou Mbp1, respectivement) et une protéine commune contenant un domain d’activation de la transcription appelée Swi6. J'ai appliqué le PCA OyCD afin de générer un mutant de Swi6 qui restreint ses activités transcriptionnelles à SBF, abolissant l’activité MBF. Nous avons isolé des souches portant des mutations dans le domaine C-terminal de Swi6, préalablement identifié comme responsable dans la formation de l’interaction avec Swi4 et Mbp1, et également important pour les activités de SBF et MBF. Nos résultats appuient un modèle où Swi6 subit un changement conformationnel lors de la liaison à Swi4 ou Mbp1. De plus, ce mutant de Swi6 a été utilisé pour disséquer le mécanisme de régulation de l’entrée de la cellule dans un nouveau cycle de division cellulaire appelé « START ». Nous avons constaté que le répresseur de SBF et MBF nommé Whi5 se lie directement au domaine C-terminal de Swi6. Finalement, j'ai appliqué le PCA OyCD afin de disséquer les complexes protéiques de la kinase cycline-dépendante de la levure nommé Cdk1. Cdk1 est la kinase essentielle qui régule la progression du cycle cellulaire et peut phosphoryler un grand nombre de substrats différents en s'associant à l'une des neuf protéines cycline régulatrice (Cln1-3, Clb1-6). Je décris une stratégie à haut débit, voir à une échelle génomique, visant à identifier les partenaires d'interaction de Cdk1 et d’y associer la cycline appropriée(s) requise(s) à l’observation d’une interaction en utilisant le PCA OyCD et des souches délétées pour chacune des cyclines. Mes résultats nous permettent d’identifier la phase(s) du cycle cellulaire où Cdk1 peut phosphoryler un substrat particulier et la fonction potentielle ou connue de Cdk1 pendant cette phase. Par exemple, nous avons identifié que l’interaction entre Cdk1 et la γ-tubuline (Tub4) est dépendante de Clb3. Ce résultat est conforme au rôle de Tub4 dans la nucléation et la croissance des faisceaux mitotiques émanant des centromères. Cette stratégie peut également être appliquée à l’étude d'autres IPPs qui sont contrôlées par des sous-unités régulatrices.

A proteome-wide strategy reveals a novel mechanism of control of cell cycle progression through modulation of cyclin mRNA stability

La quantité de données générée dans le cadre d'étude à grande échelle du réseau d'interaction protéine-protéine dépasse notre capacité à les analyser et à comprendre leur sens; d'une part, par leur complexité et leur volume, et d'un autre part, par la qualité du jeu de donnée produit qui semble bondé de faux positifs et de faux négatifs. Cette dissertation décrit une nouvelle méthode de criblage des interactions physique entre protéines à haut débit chez Saccharomyces cerevisiae, la complémentation de fragments protéiques (PCA). Cette approche est accomplie dans des cellules intactes dans les conditions natives des protéines; sous leur promoteur endogène et dans le respect des contextes de modifications post-traductionnelles et de localisations subcellulaires. Une application biologique de cette méthode a permis de démontrer la capacité de ce système rapporteur à répondre aux questions d'adaptation cellulaire à des stress, comme la famine en nutriments et un traitement à une drogue. Dans le premier chapitre de cette dissertation, nous avons présenté un criblage des paires d'interactions entre les protéines résultant des quelques 6000 cadres de lecture de Saccharomyces cerevisiae. Nous avons identifié 2770 interactions entre 1124 protéines. Nous avons estimé la qualité de notre criblage en le comparant à d'autres banques d'interaction. Nous avons réalisé que la majorité de nos interactions sont nouvelles, alors que le chevauchement avec les données des autres méthodes est large. Nous avons pris cette opportunité pour caractériser les facteurs déterminants dans la détection d'une interaction par PCA. Nous avons remarqué que notre approche est sous une contrainte stérique provenant de la nécessité des fragments rapporteurs à pouvoir se rejoindre dans l'espace cellulaire afin de récupérer l'activité observable de la sonde d'interaction. L'intégration de nos résultats aux connaissances des dynamiques de régulations génétiques et des modifications protéiques nous dirigera vers une meilleure compréhension des processus cellulaires complexes orchestrés aux niveaux moléculaires et structuraux dans les cellules vivantes. Nous avons appliqué notre méthode aux réarrangements dynamiques opérant durant l'adaptation de la cellule à des stress, comme la famine en nutriments et le traitement à une drogue. Cette investigation fait le détail de notre second chapitre. Nous avons déterminé de cette manière que l'équilibre entre les formes phosphorylées et déphosphorylées de l'arginine méthyltransférase de Saccharomyces cerevisiae, Hmt1, régulait du même coup sont assemblage en hexamère et son activité enzymatique. L'activité d'Hmt1 a directement un impact dans la progression du cycle cellulaire durant un stress, stabilisant les transcrits de CLB2 et permettant la synthèse de Cln3p. Nous avons utilisé notre criblage afin de déterminer les régulateurs de la phosphorylation d'Hmt1 dans un contexte de traitement à la rapamycin, un inhibiteur de la kinase cible de la rapamycin (TOR). Nous avons identifié la sous-unité catalytique de la phosphatase PP2a, Pph22, activé par l'inhibition de la kinase TOR et la kinase Dbf2, activé durant l'entrée en mitose de la cellule, comme la phosphatase et la kinase responsable de la modification d'Hmt1 et de ses fonctions de régulations dans le cycle cellulaire. Cette approche peut être généralisée afin d'identifier et de lier mécanistiquement les gènes, incluant ceux n'ayant aucune fonction connue, à tout processus cellulaire, comme les mécanismes régulant l'ARNm.

ADRENERGIC RECEPTOR GENE EXPRESSION DURING PANCREATIC REGENERATION AND INSULIN SECRETION IN RATS –

In the present study, the changes in the brain EPI (Epinephrine), adrenergic receptors and the receptor gene expression were investigated during pancreatic regeneration and insulin secretion. The changes in the pancreatic islet EPI and adrenergic receptors were also studied in the pancreatectomised rats. The regulatory function of EPI in association with Epidermal growth factor (EGF) and glucose were investigated in rat islet cultures. In vitro studies were carried out using antagonists for adrenergic receptor subtypes to see their involvement in the islet DNA synthesis. The mechanism by which the peripheral EPI regulate insulin secretion was also investigated by studying the nuclear binding proteins in the pancreatic islets during pancreatic regeneration and diabetes. The study reveals that EPI can regulate the pancreatic islet cell proliferation by controlling the insulin synthesis and secretion. The brain adrenergic receptor gene expression and functional correlation regulate the pancreatic adrenergic receptors. The functional balance of α and β-adrenergic receptors controls the insulin secretion and pancreatic β-cell proliferation, which will have immense clinical significance in the treatment of Diabetes mellitus.

5-HT1A AND 5-HT2C RECEPTOR GENE EXPRESSION AND FUNCTIONAL REGULATION DURING RAT HEPATOCYTE PROLIFERATION AND APOPTOSIS

The work is an attempt to understand the role of 5-HT, 5-HT1A and 5-HT2C receptors in the regulation of liver cell proliferation using in vivo and in vitro models. The work also focuses on the brain serotonergic changes associated with hapatocyte proliferation and apoptosis to delineate its regulatory function. The investigation of mechanisms involving different models of hepatocyte proliferation contributes to our knowledge about serotonergic regulation of cell growth, apoptosis and carcinogenesis of liver. The study reveals that the alteration of the 5-HT1A and 5-HT2C receptor function and gene expression in the brain stem, cerebral cortex and hypothalamus play an important role in the sympathetic regulation of cell proliferation, neoplastic transformation and apoptosis. The functional balance between 5-HT1A and 5-HT2C receptor plays an important role in regulating hepatocyte proliferation, neoplastic transformation and hepatic apoptosis. The regulatory role of 5-HT1A and 5-HT2C receptor during neoplastic transformation and apoptosis could lead to possible therapeutic intervention in the treatment of cancers and have immense clinical importance.

Gaba Receptor Gene Expression during Rat Liver Cell Proliferation and Its Function in Hepatocyte Cultures

The present thesis is an attempt to understand the role of GABA, GABAA and GABAB receptors in the regulation of liver cell proliferation using in vivo and in vitro models. The work also focuses on the brain GABAergic changes associated with normal and neoplastic cell growth in liver and to delineate its regulatory function. The investigation of mechanisms involving mitogenic models without cell necrosis may contribute our knowledge about both on cell growth, carcinogenesis, liver pathology and treatment. Objectives of the present study are, to induce controlled liver cell proliferation by partial hepatectomy and lead nitrate administration and uncontrolled cell proliferation by N-nitrosodiethylamine treatment in male Wistar rats, the changes in the content of GABA, GABAA,GABAB in various rat brain regions. To study the GABAA and GABAB receptor changes in brain stem, hypothalamus, cerebellum and cerebral cortex during the active cortex during the period of active DNA synthesis in liver of different experimental groups. The changes in GABAA and GABAB receptor function of the brain stem, hypothalamus and cerebellum play an important role sympathetic regulation of cell proliferation and neoplastic growth in liver. The decrease in GABA content in brain stem, hypothalamus and cerebellum during regeneration and neoplasia in liver. The time course of brain GABAergic changes was closely correlated with that of heptic DNA synthesis. The functional significance of these changes was further explored by studying the changes in GABAA and GABAB receptors in brain.