Thesis (Ph. D.)--West Virginia University, 2006. / Title from document title page. Document formatted into pages; contains xi, 261 p. : ill. (some col.). Vita. Includes abstract. Includes bibliographical references.

Thesis (Ph. D.)--University of Washington, 2005. / Vita. Includes bibliographical references (leaves 163-179).

Thesis (Ph. D.)--West Virginia University, 2007. / Title from document title page. Document formatted into pages; contains xiii, 127 p. : ill. (some col.). Vita. Includes abstract. Includes bibliographical references.

Thesis (Ph. D.)--West Virginia University, 2009. / Title from document title page. Document formatted into pages; contains vii, 91 p. : ill. (some col.). Includes abstract. Includes bibliographical references.

In this study, the production of monoclonal antibodies directed against the activating enzyme for an S6 kinase is examined and described. Evidence is presented for the association of an Mr. 55,000 abd Mr. 95,000 protein with the s6 kinase. These proteins are phosphorylated in the presence of Activating Enzyme. A sequence of regulatory events for insulin-stimulated phosphorylation of ribosomal protein S6 in cells is postulated as follows: insulin activates the receptor tyrosine kinase, which phosphorylates the Mr 116,000 subunit of Activating Enzyme. The Activating Enzyme then activates the S6 kniase by phosphorylation, and phosphorylation of the ribosomal protein s6 is promoted.

A signal transduction process refers to chain of highly regulated biochemical steps which results in the transfer of signal in response to a stimulus in the extracellular environment to the intracellular compartments such as nucleus. Variety of biomolecules such as proteins and lipids participate in such processes. One of the superfamilies of proteins which actively participate in signaling processes is protein kinase which transfers γ-phosphate from Adenosine Triphosphate (ATP) to the specific hydroxyl group(s) in the protein substrates. Phosphorylation and dephosphorylation events are critical in many signal transduction pathways affecting biological system as a whole. Protein phosphorylation carried out by protein kinases has emerged as pre-eminent mechanism for the regulation of variety of cellular processes such as cell growth, development, differentiation, homeostasis, apoptosis, metabolism, transcription and translation. The current thesis encompasses the investigations carried out by the author, using various bioinformatics tools and methods, to comprehend the structural and functional roles of diverse set of protein kinase subfamilies in various eukaryotic and prokaryotic organisms. The present thesis has been divided into various chapters. Chapter 1 of the thesis provides introduction to the superfamily of protein kinases and covers the relevant literature. The database of Kinases in Genomes (KinG) set-up in the author’s group a few years ago (Krupa et al, 2004a), comprises of a collection of Serine/Threonine/Tyrosine protein kinases recognized using bioinformatics approaches, from the genomic data of various eukaryotes, prokaryotes and viruses (Krupa et al, 2004a). KinG database also provides classification of protein kinases into various groups and subfamilies (Hanks et al, 1988). Information on non-kinase domains which are tethered to the catalytic kinase domains is also available for every kinase in the KinG database. KinG is periodically (annually) updated with rise in the number of genome sequence datasets of various organisms, increase in the number of known protein domain families and refinement or reannotation of genomic datasets (Anamika et al, 2008c). Author describes the work on annual update of KinG database in Chapter 2 of the thesis. Availability of an improved version of the human genomic data has provided an opportunity to re-investigate protein kinase complement of the human genome and enabled an analysis of the splice variants. This analysis is also described in Chapter 2. Chapter 3, Chapter 4 and Chapter 5 report recognition and analysis of repertoire of protein kinases in Chimpanzee, two Plasmodium species (Plasmodium falciparum and Plasmodium yoelii yoelli) and Entamoeba histolytica respectively. A detailed analysis of the non-kinase domains which are tethered to catalytic protein kinase domains in eukaryotic organisms is presented in Chapter 6. Chapter 7 discusses a systematic classification framework developed by the author to classify Serine/Threonine protein kinases in prokaryotic organisms. Investigation carried out on 3-D structural aspects of protein kinase-substrate interactions is described in Chapter 8. While identifying protein kinases from genomic data occurrence of protein kinase-like non-kinases (PKLNK), which lack aspartate in a specific position in the amino acid sequence (and hence are unlikely to function as a kinase), has also been observed. Chapter 9 presents an analysis of PKLNKs with an objective of obtaining clues to their functions. Chapter 10 summarizes the main conclusions of the thesis and provides an outlook of the current study. Chapter 1: Chapter 1 provides an introduction to cell signaling and the involvement of protein kinases in various signaling pathways compiled from author’s literature survey. This chapter provides a description of molecular events in cell signaling in prokaryotic and eukaryotic organisms. The diversity, specificity and cellular roles of protein kinases are discussed in detail. Chapter 2: Chapter 2 describes KinG (Kinases in Genomes) database which was first established by Krupa et al (2004a). The KinG database is an on-line compilation of the putative Serine/Threonine/Tyrosine protein kinases encoded in the completely sequenced genomes of archaea, eubacteria, viruses and eukaryotes. Surge in the datasets of genomes, improvements in the quality of the genomic data for various organisms and growing number of protein domain families necessitates periodic update of KinG database. The updated version of KinG holds information on protein kinases for 483 organisms (Anamika et al, 2008c). Availability of draft version of the human genome data in 2001 enabled recognition of repertoire of human protein kinases (Krupa and Srinivasan, 2002a; Manning et al, 2002; Kostich et al, 2002). Over the last 7 years human genomic data is being refined and at present the quality of the human genomic data available is much superior to the one available in 2001. By gleaning the latest version of human genome data, 46 new human protein kinase splice variants have been identified which were not recognized in the earlier studies on human kinome. Improper regulation or mutant forms of many of these newly identified protein kinase splice variants are directly involved in various diseases such as different kinds of cancer, Severe Combined Immunodeficiency Disease (SCID) and Huntington disease. In addition, abnormal forms of mouse orthologues of some of the newly identified human kinase splice variants are known to cause various diseases in mice. This raises the possibility of the human orthologues playing similar roles in the disease processes. Such observations and detailed analysis of these protein kinase splice variants would have a profound influence on drug design and development against various diseases. Chapter 3: Investigations on the identification and analysis of protein kinases encoded in the genome of chimpanzee (chimp) has been discussed in Chapter 3. Further, the kinome complement has been compared between chimp and its evolutionary close relative, human (Anamika et al, 2008b). The shared core biology between chimp and human is characterized by many orthologous protein kinases which are involved in conserved pathways. Domain architectures specific to chimp/human kinases have been observed. Chimp kinases with unique domain architectures are characterized by deletion of one or more non-kinase domains present in the human kinases. Interestingly, counterparts of some of the multi-domain human kinases in chimp are characterized by identical domain architectures but with kinase-like non-kinase domain (PKLNK). Remarkably, for 160 out of 587 chimpanzee kinases no human orthologue with sequence identity greater than 95% could be identified. Variations in chimpanzee kinases compared to human kinases are brought about also by differences in functions of domains tethered to the catalytic kinase domain. For example, the heterodimer forming PB1 domain related to the fold of ubiquitin / Ras-binding domain is seen uniquely tethered to PKC-like chimpanzee kinase. Though chimpanzee and human have close evolutionary relationship, there are chimpanzee kinases with no close counterpart in the human suggesting differences in their functions. This chapter provides a direction for experimental analysis of human and chimpanzee protein kinases in order to enhance our understanding on their specific biological roles. Chapter 4: Chapter 4 describes genome-wide comparative analysis for protein kinases encoded in the two apicomplexa namely Plasmodium falciparum (P. falciparum) (3D7 strain) and Plasmodium yoelii yoelii (P. yoelii yoelii) (17XNL strain) genomes which are causative agents of malaria in human and rodent respectively (Anamika and Srinivasan, 2007). Sensitive bioinformatics techniques enable identification of 82 and 60 putative protein kinases in P. falciparum and P. yoelii yoelii respectively. These protein kinases have been classified further into subfamilies based on the extent of sequence similarity of their catalytic domains (Hanks et al, 1988). The most populated kinase subfamilies in both the Plasmodium species correspond to CAMK and CMGC groups. Analysis of domain architectures enables detection of uncommon domain organisation in kinases of both the organisms such as kinase domain tethered to EF hands as well as pleckstrin homology domain. Components of MAPK signaling pathway are not well conserved in Plasmodium species. Such observations suggest that Plasmodium protein kinases are highly divergent from other eukaryotes. A trans-membrane kinase with 6 membrane spanning segments in P. falciparum seems to have no orthologue in P. yoelii yoelii. 19 P. falciparum kinases (Anamika et al, 2005; Anamika and Srinivasan, 2007) have been found to cluster separately from P. yoelii yoelii kinases and hence these kinases are unique to P. falciparum genome. Only 28 orthologous pairs of kinases could be identified between these two Plasmodium species. Comparative kinome analysis of the two Plasmodium species has thus provided clues to the function of many protein kinases based upon their classification and domain organisation and also implicate marked differences even between two Plasmodium species. Chapter 5: Identification and analysis of the repertoire of protein kinases in the intracellular parasite Entamoeba histolytica (E. histolytica) using sensitive sequence and profile search methods forms the basis of Chapter 5. A systematic analysis of a set of 307 protein kinases in E. histolytica genome has been carried out by classifying them into different subfamilies originally defined by Hanks and Hunter (Hanks et al, 1988) and by examining the functional domains which are tethered to the catalytic kinase domains (Anamika et al, 2008a). Compared to other eukaryotic organisms, protein kinases from E. histolytica vary in terms of their domain organisation and displays features that may have a bearing in the unusual biology of this organism. Some of the parasitic kinases show high sequence similarity in the catalytic domain region with calmodulin/calcium dependent protein kinase subfamily. However, they are unlikely to act like calcium/calmodulin dependent kinases as they lack non-catalytic domains characteristic of such kinases in other organisms. Such kinases form the largest subfamily of protein kinases in E. histolytica. Interestingly a Protein Kinase A/Protein Kinase G-like hybrid kinase subfamily member is tethered to pleckstrin homology domain. Although potential cyclins and cyclin-dependent kinases could be identified in the genome the likely absence of other cell cycle proteins suggests unusual nature of cell cycle in E. histolytica. Some of the unusual kinases recognized in the analysis include the absence of Mitogen activated protein kinase kinase (MEK) as a part of the Mitogen Activated Kinase signaling pathway and identification of trans-membraneous kinases with catalytic kinase region showing a good sequence similarity to Src kinases which are usually cytosolic. Sequences which could not be classified into known subfamilies of protein kinases have unusual domain architectures. Many such unclassified protein kinases are tethered to domains which are cysteine-rich and to domains known to be involved in protein-protein interactions. The current chapter on kinome analysis of E. histolytica suggests that the organism possesses a complex protein phosphorylation network that involves many unusual protein kinases. Chapter 6: Protein kinases phosphorylating Serine/Threonine/Tyrosine residues in several cellular proteins exert tight control over their biological functions. They constitute the largest protein family in most eukaryotic species. Classification based on sequence similarity of their catalytic domains, results in clustering of protein kinases sharing gross functional properties into various subfamilies. Many protein kinases are associated or tethered covalently to domains that serve as adapter or regulatory modules, aiding substrate recruitment, specificity, and also serve as scaffolds. Hence the modular organisation of the protein kinases serves as guidelines to their molecular interaction which has been discussed in Chapter 6. Recent studies on repertoires of protein kinases in eukaryotes have revealed wide spectrum of domain organisation in model organisms across various subfamilies. Occurrence of organism-specific novel domain combinations suggests functional diversity achieved by the protein kinase in order to regulate variety of biological processes. In addition, domain architectures of protein kinases revealed existence of hybrid protein kinase subfamilies and their emerging roles in the signaling of eukaryotic organisms. The repertoire of non-kinase domains tethered to multi-domain kinases in the higher eukaryotes is discussed in Chapter 6. Similarities and differences in the domain architectures of protein kinases in these organisms indicate conserved and unique features that are critical to functional specialization. Chapter 7: Chapter 7 describes systematic classification of Serine/Threonine protein kinases encoded in archaeal and eubacterial genomes. Majority of the Serine/Threonine protein kinases which have been identified in archaeal and eubacterial genomes could not be classified into any of the well known subfamilies (Hanks et al, 1988) of protein kinases suggesting their diversity from kinases in eukaryotes. The extensive prokaryotic Serine/Threonine protein kinase dataset obtained from KinG (Krupa et al, 2004a, Anamika et al, 2008c) has given an opportunity to classify these prokaryotic Serine/Threonine protein kinases mainly into three categories based upon sequence identity based clustering: 1) Species/Genus-specific clusters: Species/Genus-specific Serine/Threonine protein kinases contain members from a particular species or genus of the eubacteria or archaea suggesting requirement of these Serine/Threonine protein kinases for certain lineage specific function. 2) Organism-specific clusters: Organism specific clusters has members from certain specific types of organisms which suggests role of these Serine/Threonine protein kinases in some specific function being carried out by limited sets of prokaryotes. 3) Organism-diverse clusters: Organism diverse clusters suggest common function performed by such kinases in wide variety of organisms. Interestingly, occurrence of several species/genus or organism specific subfamilies of prokaryotic kinases contrasts with classification of eukaryotic protein kinases in which most of the popular subfamilies of eukaryotic protein kinases occur diversely in several eukaryotes. Function-based classification has also been proposed which shows that members of each cluster has specific function to perform. In this analysis, almost 50% of the “clusters” obtained have only one member suggesting their sequence and probably functional divergence. Many prokaryotic Serine/Threonine protein kinases exhibit a wide variety of modular organisation which indicates a degree of complexity and protein-protein interactions in the signaling pathways in these microbes. Chapter 8: A wide spectrum of protein kinases belonging to different Hanks and Hunter groups of kinases and subfamilies has been identified in various eukaryotes. However, specific biological targets (substrates) of many protein kinase subfamilies are still unknown and this is one of the active areas of research. In the current analysis reported in Chapter 8, an attempt has been made to understand protein kinase-substrate interaction and substrate consensus prediction by analyzing known 3-D structures of complexes of kinases and peptide substrates/pseudosubstrates. Considering protein kinase ternary complex structures in their active states, it has been observed that protein kinase residues which are interacting with the substrate residues having constraint are at topologically equivalent positions despite belonging to different Hanks and Hunter protein kinase subfamilies. In this analysis, it has also been observed that the residues in a given kinase subfamily interacting with consensus substrate residues are usually conserved across homologues. Interestingly, in Protein Kinase B and Phosphorylase Kinase subfamily homologues, residues interacting with substrate residue/s having no constraint are not well conserved even within the kinase subfamily suggesting different evolutionary rate of substrate interacting residues. This result is anticipated to be helpful in furthering our understanding of protein kinase-substrate relationship which is likely to be helpful in drug design. Chapter 9: Protein Kinase-Like Non-kinases (PKLNKs) are closely related to protein kinases but they lack the crucial catalytic aspartate in the catalytic loop and hence cannot function as a protein kinase. PKLNKs have been analyzed (Chapter 9) with an objective of obtaining clues about their functions. Using various sensitive sequence analysis methods, 82 PKLNKs from four higher eukaryotic organisms namely, Homo sapiens, Mus Musculus, Rattus norvegicus and Drosophila melanogaster have been recognized. On the basis of their domain combinations and functions of tethered domains, PKLNKs have been classified mainly into four categories: 1) Ligand binding PKLNKs 2) PKLNKs having extracellular protein-protein interaction domain 3) PKLNKs involved in dimerization 4) PKLNKs with cytoplasmic protein-protein interaction module. While members of the first two classes of PKLNKs have transmembrane domain tethered to the PKLNK domain, members of the other two classes of PKLNKs are entirely cytoplasmic in nature. The current classification scheme hopes to provide a convenient framework to classify the PKLNKs from other eukaryotes and it should be helpful in deciphering their roles in cellular processes. Chapter 10: This is a chapter on conclusions of the entire thesis work. Summary of the major outcomes of this thesis work is provided and implications of the work in the area of signal transduction are discussed. In addition to above mentioned work, studies on repertoire of protein kinases from two plant organisms have been carried out and the kinomes have been comparatively analyzed (Krupa et al, 2006) (Appendix 1). Comparison of plant protein kinases with other eukaryotes revealed remarkable differences. Trans-genomic comparison of the protein kinase repertoires of Arabidopsis thaliana and Oryza sativa has enabled identification of members that are uniquely conserved within the two species. Analysis on the domain organisation of plant protein kinases has also been carried out. Appendix 2 presents the work done on Entamoeba histolytica (E. histolytica) ornithine decarboxylase (ODC)-like protein which regulates the polyamine biosynthesis. DFMO (Difluoromethylornithine) is unable to inhibit the E. histolytica ODC-like protein while it inhibits the homologues of ODC in other organisms. Modelling study has suggested substitution of three amino acids in the E. histolytica ODC-like protein because of which DFMO is unable to inhibit the activity of ODC-like protein (Jhingran et al, 2008). All the computational modeling work reported in Appendix 2 was performed by the author while all the laboratory experiments were performed in the laboratory of the collaborator Prof. Madhubala of JNU, New Delhi. The supplementary data pertaining to this thesis is presented in an accompanying CD. The supplementary data in this CD is organized into different folders corresponding to various chapters.

Protein phosphorylation is an important post-translational modification of proteins, which can either activate or inhibit the function of a given protein. The enzymes, protein kinases and protein phosphatases catalyze the phosphorylation and dephosphorylation of target proteins, respectively. Protein kinases catalyze the transfer of γ-phosphate from ATP to serine, threonine or tyrosine residues in target proteins. They are traditionally classified as protein serine/threonine kinases and protein tyrosine kinases based on the amino acid to which they transfer the phosphate group. Protein tyrosine kinases play vital roles in numerous pathways that regulate growth, development and oncogenesis in animals. However, no protein tyrosine kinase has been cloned so far from plants. The sequence motif, CW(X)6RPXF of sub-domain XI is well conserved among biochemically characterized protein tyrosine kinases from human, rat, mice, worm, fruitfly and Dictyostelium. To seek plant genes encoding tyrosine kinase, we have performed extensive genome-wide analysis of Arabidopsis thaliana using the delineated tyrosine kinase from animal systems. Repetitive database mining with CW(X)6RPXF sequence motif revealed the presence of 57 different protein kinases that have tyrosine kinase motifs. Myosin light chain protein kinase was identified as false positive with this motif. Multiple sequence alignment of all the 57 kinases indicated the presence of twelve conserved sub-domains in their kinase catalytic domain. Out of the 12 sub-domains present in protein kinases, sub-domain VIb confers serine/threonine kinase Specificity and sub-domains VIII and XI confer tyrosine kinase specificity. All the 57 kinases were Verified to contain CW(X) 6RPXF in sub-domain XI. However, the catalytic domain of all the catalogued kinases contain KXXN motif in sub-domain VIb, which is indicative of serine/threonine Kinase specificity. None of the kinases had the tyrosine kinase consensus motif RAA or ARR in sub-domain VIb. Thus, the catalytic domains of all the identified Arabidopsis protein kinases have motifs for serine/threonine specificity in sub-domain VIb and tyrosine kinase motif in sub-domain XI. These results indicate that perhaps all the kinases belong to the dual-specificity kinase family. Hence, we have tentatively named these protein sequences as STY (serine/threonine/tyrosine) protein kinases. To examine the relationships of Arabidopsis STY protein kinases, a topographic cladogram was constructed. Casein kinase 1 was used as an outgroup to perceive the true class of STY protein kinase family. Neighbor joining tree was constructed with the full-length protein sequences following the alignments. Dendrogram of STY protein kinases suggested that the kinases are mainly clustered into four groups. Group I includes kinases related to ATN1-like kinases, peanut STY related kinases, soybean GmPK6-like kinases and ATMRK1-like kinases. Group II consists of MAP3K-like kinases, CTR1 and EDR1 related kinases. Group III includes protein kinases that harbor ankyrin domain repeat motifs. These kinases are related to Medicago sativa ankyrin kinase, MsAPK1. Group IV consists of light sensory kinases that are related to Ceratodon purpureus phytochrome kinase. C. purpureus light sensory kinase has both phytochrome and protein kinase domains. However, the protein kinases of group IV do not have a phytochrome domain. BLAST analysis was performed using CW(X)6RPXF motif against all the available plant sequences in the database. We retrieved 11 rice protein kinases and 14 Dictyostelium kinases. In addition, we obtained STY protein kinases from wheat, barley, soybean, tomato, beech and alfalfa. Dendrogram analysis indicated that the plant STY protein kinases are clustered in similar manner as observed for Arabidopsis. Large number of sequences were retrieved when the tyrosine kinase motif CW(X)6RPXF was used to perform BLAST analysis against all the known sequences from animals. As large numbers of protein tyrosine kinases are available in animals, we have used representative kinases of each family towards the construction of phylogenetic tree. The main difference between the animal and plant tyrosine kinases is in the consensus motif conferring the tyrosine and serine/threonine specificity in the sub-domain VIb. Animal tyrosine kinases have consensus ARR/RAA in sub-domain VIb and plant kinases have KXXN which is indicative of serine/threonine specificity. Expression analysis of Arabidopsis STY protein kinases was performed using Genevestigator online search tool Meta-Analyzer. Genes were grouped based on their relative expression levels during a specific growth stage, in a particular organ or following different environmental stresses. Various kinases are highly expressed in stamens and seeds while some kinases are expressed ubiquitously. A number of biotic and abiotic factors upregulated plant STY protein kinases. Gene expression data suggests the importance of STY protein kinases in plant growth and development. Genome-wide analysis is supported by phosphoproteomics in Arabidopsis seedlings. Evidence for tyrosine phosphorylated proteins is provided by alkaline hydrolysis, phosphoamino acid analysis and peptide mass fingerprinting. Alkaline treatment detected two proteins corresponding to 46 and 37.5 kD. Phosphoamino acids analysis confirmed their dual-specificity nature. MALDI mass spectrometry and peptide mass fingerprinting analysis identified these two proteins as ATN1 and peanut serine/threonine/tyrosine protein kinase like protein from Arabidopsis. To further support the in silico approach, we have overexpressed one of the identified Arabidopsis thaliana serine/threonine/tyrosine protein kinases (AtSTYPK) in E. coli. The recombinant kinase was induced with IPTG and purified by using nickel-nitrilotriacetic acid affinity chromatography. AtSTYPK exhibited a strong preference for manganese over magnesium for kinase activity. The autophosphorylation activity of AtSTYPK was inhibited by the addition of calcium to reaction buffer containing manganese. The rate of autophosphorylation reaction was linear with increasing time and protein concentration. The AtSTYPK phosphorylated histone H1 (type III-S), and myelin basic protein (MBP) in substrate phosphorylation reaction and it did not phosphorylate casein or enolase. To see whether calcium or magnesium inhibits phosphorylation of MBP, we have performed the reaction in the presence of combination of different metal ions. The MBP phosphorylation reaction is more efficient in the presence of Mg2++ Mn2+ than Ca2++ Mn2+ under the same conditions. The recombinant kinase autophosphorylated on serine, threonine and tyrosine residues and phosphorylated myelin basic protein on threonine and tyrosine residues. The AtSTYPK harbors a manganese-dependent serine/threonine kinase domain, COG3642. H248 and S265 on COG3642 are conserved in AtSTYPK and the site-directed mutation of H248 to alanine resulted in loss of serine/threonine kinase activity, but the mutation of S265 to alanine showed a slight increase in its kinase activity. The protein kinase activity is regulated by various mechanisms that include autophosphorylation, protein phosphorylation by other kinases and by the action of regulatory domains or subunits. The role of tyrosine residues in the regulation of peanut dual-specificity kinase activity is well documented, but the importance of serine and threonine residues in the regulation of dual-specificity protein kinase is not studied so far. The kinase activity is generally regulated by phosphorylation of one or more residues within the kinase activation loop. The role of threonine residues in the kinase activation loop and the TEY motif of AtSTYPK were investigated in the present study. Four threonine residues in the activation loop and a T208 in the TEY sequence motif were converted to alanine to study their role in the regulation of kinase activity. The protein kinase activity was abolished when T208 and T293 of the activation loop were converted to alanine. Interestingly, the conversion of T284 in the activation loop to alanine resulted in an increase in both auto- and substrate phosphorylations. The mutation of T288 and T291 to alanine had no effect on kinase activity. There are eight serine residues in the kinase catalytic domain of AtSTYPK and surprisingly there is no serine residue in the kinase activation loop. So it is worthwhile to see how phosphorylation of serine residues regulates the dual-specificity protein kinase activity. The role of each serine residue was studied individually by substituting them with alanine. Serines at positions 215, 259, 269 and 315 regulate the kinase activity both in terms of autophosphorylation and substrate phosphorylation of myelin basic protein. The mutation of serine 265 to alanine resulted in slight increase in auto- and substrate phosphorylations, suggesting that it could be autoinhibitory in function. The other serine residues at positions 165, 181 and 360 did not show any change in the phosphorylation status when compared to wild-type AtSTYPK. In conclusion, this data suggests the importance of serine and threonine residues in the regulation of dual-specificity protein kinase activity and emphasizes the complexity of regulation of dual-specificity protein kinases in plants. To summarise, this study suggests that tyrosine phosphorylation in plants could be brought about only by dual-specificity protein kinases that phosphorylate on serine, threonine and tyrosine residues. This raises an interesting possibility that plants lack classical tyrosine kinases. The results provide a first report of manganese-dependent dual-specificity kinase from plant systems. This data also suggests that plant dual-specificity kinases undergo phosphorylation at multiple amino acid residues and their activity is regulated by various mechanisms, suggesting that they could be regulated by different mechanisms at different stages of plant growth and development. However, the role of dual-specificity kinases in planta has to be understood by mutant analysis in order to assign the physiological roles to these kinases. Further studies are needed to identify the upstream kinase(s) and downstream targets. Determination of physiological functions for dual-specificity protein kinases raises an important challenge in future in the area of plant signal transduction.

Nicotinic acetylcholine receptors (nAChRs) are a major class of ligand-gated ion channels in the brain, with the α7 subtype of nAChRs playing an important role in attention, working memory and synaptic plasticity. Alterations in expression of α7 nAChRs are observed in neurological disorders including schizophrenia and Alzheimer’s disease. Therefore, understanding the fundamentals of how α7 nAChRs are regulated will increase our comprehension of how α7 nAChRs influence neuronal excitability, cognition and the pathophysiology of various neurological disorders. The purpose of this thesis was to investigate how protein kinases modulate the function and trafficking of α7 nAChRs in CNS neurons. In chapter 2, I describe a novel fast agonist applicator that I developed to reliably elicit α7 nAChR currents in both brain slices and cultured cells. In chapter 3, I examined whether an immune protein in the brain, the T-cell receptor (TCR), can modulate α7 nAChR activity. Activation of TCRs decreased α7 nAChR whole-cell recorded currents from layer 1 prefrontal cortical (PFC) neurons. TCR attenuated α7 nAChR currents through the activation of Fyn and Lck tyrosine kinases, which targeted tyrosine 442 in the M3-M4 cytoplasmic loop of α7. The mechanisms of the attenuated α7 current were contributed by a TCR mediated decrease in surface receptor expression and an attenuation of the α7 single-channel conductance. TCR stimulation also resulted in a decrease in neuronal excitability by negatively modulating α7 activity. In chapter 4, I tested whether PKA can modulate α7 nAChR function in CNS neurons. The pharmacological agents PKA agonist 8-Br-cAMP and PKA inhibitor KT-5720, as well as over-expressing dominant negative PKA and the catalytic subunit of PKA, demonstrated that activation of PKA leads to a reduction of α7 nAChR currents in HEK 293T cells and layer 1 cortical interneurons. Serine 365 of the M3-M4 cytoplasmic domain of α7 was necessary for the PKA modulation of α7. The mechanism of down-regulation in α7 receptor function was due to decreased surface receptor expression but not alterations in single-channel conductance nor gating kinetics. The results of this thesis demonstrate that α7 nAChRs constitute a major substrate for modulation via TCR activated tyrosine kinases and the cyclic AMP/PKA pathway. / Graduate / kpragya2000504@gmail.com

published_or_final_version / abstract / Chemistry / Doctoral / Doctor of Philosophy

published_or_final_version / abstract / Obstetrics and Gynaecology / Master / Master of Philosophy