Biomedical subjects

Kazuhisa Ota

Publications and source records attributed to Kazuhisa Ota.

8 recordsLinked to original sources

PubMed2006

A novel Cdc42-interacting domain of the yeast polarity establishment protein Bem1. Implications for modulation of mating pheromone signaling.

In Saccharomyces cerevisiae, the Rho-type small GTPase Cdc42 is activated by its guanine-nucleotide exchange factor Cdc24 to polarize the cell for budding and mating. A multidomain protein Bem1 interacts not only with Cdc42 but also with Cdc24 and the effectors of Cdc42, including the p21-activated kinase Ste20, to function as a scaffold for cell polarity establishment. Although Bem1 interacts with Cdc24 and Ste20 via its PB1 and the second SH3 domains (SH3b), respectively, it is unclear how Bem1 binds Cdc42. Here we show that a region comprising the SH3b and its C-terminal flanking segment termed CI (SH3b-CI) directly interacts with Cdc42. A dual-bait reverse two-hybrid approach revealed that the CI is critical to the interaction: N253D substitution in the CI abolishes the binding of the SH3b-CI to Cdc42 but not to the proline-rich region of Ste20, whereas W192K substitution in the SH3b has the opposite effect. Nevertheless, the SH3b-CI interacts with Ste20 proline-rich region and Cdc42 in a mutually exclusive manner. The N253D substitution renders cellular growth temperature-sensitive and suppresses mating. The W192K-induced mating defect is exacerbated by the N253D substitution and suppressed by increasing the dosage of Ste20 provided that the CI is intact. Intriguingly, Cdc42 can mediate an indirect interaction of the SH3b-CI to the CRIB domain of Ste20. These results suggest that the SH3b and the CI collaborate in tethering of Ste20 to Bem1 to ensure efficient mating pheromone signaling.

Adaptor Proteins, Signal Transducing↗

PubMed2005

The yeast eIF4E-associated protein Eap1p attenuates GCN4 translation upon TOR-inactivation.

Amino acid-starved yeast activates the eIF2alpha kinase Gcn2p to suppress general translation and to selectively derepress the transcription factor Gcn4p, which induces various biosynthetic genes to elicit general amino acid control (GAAC). Well-fed yeast activates the target of rapamycin (TOR) to stimulate translation via the eIF4F complex. A crosstalk was demonstrated between the pathways for GAAC and TOR signaling: the TOR-specific inhibitor rapamycin activates Gcn2p. Here we demonstrate that, upon TOR-inactivation, the putative TOR-regulated eIF4E-associated protein Eap1p likely functions downstream of Gcn2p to attenuate GCN4 translation via a mechanism independent of eIF4E-binding, thereby constituting another interface between the two pathways.

Amino Acid Sequence↗

PubMed2004

Analysis of gene network regulating yeast multidrug resistance by artificial activation of transcription factors: involvement of Pdr3 in salt tolerance.

We established a strategy to constitutively activate Zn(2)Cys(6)-type protein by fusing its DNA-binding domain with the VP16 trans-activation domain. To explore gene network regulating yeast multidrug resistance, the strategy was applied to Pdr1, Pdr3 and Yrr1, known to regulate multidrug resistance, as well as three uncharacterized Yrr1-related transcription factors. DNA microarray analysis revealed that all of the six mutants induce typical drug transporter genes including SNQ2 and YOR1, suggesting redundancy in regulation. On the other hand, each displays a unique spectrum of targets, which is coincident with the phylogenetic tree of the transcription factors and presumably reflects their functional specification. Indeed, careful analysis of target genes specific to each transcription factor led us to reveal an unexpected role for Pdr3 in salt tolerance. The strategy would thus contribute not only to identify target genes but to reveal redundancy and specificity in complex gene regulatory networks.

ATP-Binding Cassette Transporters↗

PubMed2004

A yeast one-hybrid system to detect methylation-dependent DNA-protein interactions.

We developed a method for site-selective CpG methylation of the budding yeast genome. The method recruits LexA-fused M.SssI DNA methyltransferase to LexA operator sequences integrated adjacent to the target site. Microarray analysis of methylated DNAs indicated that the tethered enzyme selectively methylates the region around the target site. Exploiting this method to methylate bait DNA in the one-hybrid system, we demonstrated methylation-dependent DNA binding of methyl-CpG binding proteins, MBD1 and Kaiso, in vivo. This methylation-dependent one-hybrid system would provide a versatile tool for the search and analysis of proteins that recognize methylated DNA to participate in epigenetic regulation.

Base Sequence↗

PubMed2003

Molecular recognition in dimerization between PB1 domains.

The PB1 (Phox and Bem 1) domain is a recently identified module that mediates formation of a heterodimeric complex with other PB1 domain, e.g. the complexes between the phagocyte oxidase activators p67phox and p40phox and between the yeast polarity proteins Bem1p and Cdc24p. These PB1 domains harbor either a conserved lysine residue on one side or an acidic OPCA (OPR/PC/AID) motif around the other side; the lysine of p67phox or Bem1p likely binds to the OPCA of p40phox or Cdc24p, respectively, via electrostatic interactions. To further understand molecular recognition by PB1 domains, here we investigate the interactions mediated by proteins presenting both the lysine and OPCA on a single PB1 domain, namely Par6, atypical protein kinase C (aPKC), and ZIP. Par6 and aPKC form a complex via the interaction of the Par6 lysine with aPKC-OPCA but not via that between the aPKC lysine and Par6-OPCA, thereby localizing to the tight junction of epithelial cells. aPKC also uses its OPCA to interact with ZIP, another protein that has a PB1 domain presenting both the lysine and OPCA, whereas aPKC binds via the conserved lysine to MEK5 in the same manner as ZIP interacts with MEK5. In addition, ZIP can form a homotypic complex via the conserved electrostatic interactions. Thus the PB1 domain appears to be a protein module that fully exploits its two mutually interacting elements in molecular recognition to expand its repertoire of protein-protein interactions.

Adaptor Proteins, Signal Transducing↗

PubMed2003

Rapamycin-induced translational derepression of GCN4 mRNA involves a novel mechanism for activation of the eIF2 alpha kinase GCN2.

When starved for amino acids, Saccharomyces cerevisiae accumulates uncharged tRNAs to activate its sole eukaryotic initiation factor (eIF) 2alpha kinase GCN2. Subsequent phosphorylation of eIF2alpha impedes general translation, but translationally derepresses the transcription factor GCN4, which induces expression of various biosynthetic genes to elicit general amino acid control response. By contrast, when supplied with enough nutrients, the yeast activates the target of rapamycin signaling pathway to stimulate translation initiation by facilitating the assembly of eIF4F. A cross-talk was suggested between the two pathways by rapamycin-induced translation of GCN4 mRNA. Here we show that rapamycin causes an increase in phosphorylated eIF2alpha to translationally derepress GCN4. This increment is not observed in the cells expressing mammalian non-GCN2 eIF2alpha kinases in place of GCN2. It is thus suggested that rapamycin does not inhibit dephosphorylation of eIF2alpha but rather activates the kinase GCN2. This activation seems to require an interaction between the kinase and uncharged tRNAs, because rapamycin, similar to amino acid starvation, fails to induce eIF2alpha phosphorylation in the cells with GCN2 defective in tRNA binding. However, in contrast with amino acid starvation, rapamycin activates GCN2 without increasing the amount of uncharged tRNAs, but presumably by modifying the tRNA binding affinity of GCN2.

Antifungal Agents↗

PubMed2003

A functional single-nucleotide polymorphism in the human cytidine deaminase gene contributing to ara-C sensitivity.

To test the hypothesis that analyses of drug targets for polymorphism will help to establish gene-based information for the treatment of cancer patients, we investigated the functional single-nucleotide polymorphisms in the human cytidine deaminase (HDCA) gene. The cDNAs from 52 leukaemia/lymphoma samples and 169 control blood samples were direct-sequenced and analysed for the polymorphisms. Three different polymorphisms (A79C, G208A and T435C) were identified in the coding region of the HDCA gene and displayed allelic frequencies of 20.1%, 4.3% and 70.1%, respectively. No association with susceptibility to disease was observed. A novel polymorphism, G208A produced an alanine to threonine substitution (A70T) within the conserved catalytic domain. By introduction of the polymorphic HCDA genes into the yeast CDA-null mutants, the HCDA-70T showed 40% and 32% activity of prototype for cytidine and ara-C substrates, respectively (P < 0.01). The ara-C IC50 value of the yeast transformants carrying HCDA-70T was 757 +/- 33 micromol and was significantly lower (P < 0.01) than that of prototype (941 +/- 58 micromol). This study demonstrated a population characterized with 208A genotype for, which potentially leads one more sensitive to ara-C treatment than prototype. Accumulation of polymorphisms in the genes responsible for drug metabolism and determination of polymorphism-induced biological variations could provide the additional therapeutic strategies in risk-stratified protocols for the treatment of childhood malignancies.

Child, Preschool↗

PubMed2002

Roles for the two-hybrid system in exploration of the yeast protein interactome.

Comprehensive analysis of protein-protein interactions is a challenging endeavor of functional proteomics and has been best explored in the budding yeast. The yeast protein interactome analysis was achieved first by using the yeast two-hybrid system in a proteome-wide scale and next by large-scale mass spectrometric analysis of affinity-purified protein complexes. While these interaction data have led to a number of novel findings and the emergence of a single huge network containing thousands of proteins, they suffer many false signals and fall short of grasping the entire interactome. Thus, continuous efforts are necessary in both bioinformatics and experimentation to fully exploit these data and to proceed another step forward to the goal. Computational tools to integrate existing biological knowledge buried in literature and various functional genomic data with the interactome data are required for biological interpretation of the huge protein interaction network. Novel experimental methods have to be developed to detect weak, transient interactions involving low abundance proteins as well as to obtain clues to the biological role for each interaction. Since the yeast two-hybrid system can be used for the mapping of the interaction domains and the isolation of interaction-defective mutants, it would serve as a technical basis for the latter purpose, thereby playing another important role in the next phase of protein interactome research.

Computational Biology↗