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Biomedical subjects

Shin-ichi Hashimoto

Publications and source records attributed to Shin-ichi Hashimoto.

14 recordsLinked to original sources

A leuC mutation leading to increased L-lysine production and rel-independent global expression changes in Corynebacterium glutamicum.

We previously found by transcriptome analysis that global induction of amino acid biosynthetic genes occurs in a classically derived industrial L-lysine producer, Corynebacterium glutamicum B-6. Based on this stringent-like transcriptional profile in strain B-6, we analyzed the relevant mutations from among those identified in the genome of the strain, with special attention to the genes that are involved in amino acid biosynthesis and metabolism. Among these mutations, a Gly-456-->Asp mutation in the 3-isopropylmalate dehydratase large subunit gene (leuC) was defined as a useful mutation. Introduction of the leuC mutation into a defined L-lysine producer, AHD-2 (hom59 and lysC311), by allelic replacement led to the phenotype of a partial requirement for L-leucine and approximately 14% increased L-lysine production. Transcriptome analysis revealed that many amino acid biosynthetic genes, including lysC-asd operon, were significantly upregulated in the leuC mutant in a rel-independent manner.

Corynebacterium glutamicum↗

Adult T-cell leukemia in a liver transplant recipient that did not progress after onset of graft rejection.

A liver allograft recipient developed acute-type adult T-cell leukemia (ATL) during tacrolimus treatment, 2 years after undergoing transplantation for subacute fulminant hepatitis. Both donor and recipient were asymptomatic carriers of human T-cell lymphotropic virus type I (HTLV-I), but the ATL cells originated from the recipient. Tacrolimus treatment was discontinued, and combination chemotherapy was administered. The patient achieved complete remission, but the transplanted liver was acutely and chronically rejected. The patient did not respond to rescue therapy with tacrolimus, prednisolone, and mycophenolate mofetil and died of hepatic failure. Liver biopsies showed CD4+ ATL cell infiltration at the onset of ATL but not at the terminal stage. Moreover, Southern blotting revealed clonal integration of HTLV-I into the host genome of lymphoma cells at onset but not at the terminal stage. ATL after liver transplantation has not been previously described. The clinical course of the posttransplantational ATL was atypical, because it did not progress after the onset of rejection.

Fatal Outcome↗

5'SAGE: 5'-end Serial Analysis of Gene Expression database.

To comprehensively identify transcription start sites and the frequencies of individual mRNAs in human cell libraries, a method of 5' end Serial Analysis of Gene Expression (SAGE) was developed recently, which makes it possible to collect a large amount of start site information, and subsequently, we have established a related database server called 5'SAGE. This database displays the observed frequencies of individual 5' end SAGE tags and previously unknown transcription start sites in the promoter regions, introns and intergenic regions of known genes. 5'SAGE will be useful for analyzing promoter regions and start site variation in different tissues, and is freely available at http://5sage.gi.k.u-tokyo.ac.jp/.

5' Flanking Region↗

Microarray analysis of cytokine and chemokine gene expression after prednisolone treatment in murine experimental autoimmune uveoretinitis.

PURPOSE: The purpose of this study was to investigate changes in gene expression of cytokines and chemokines and their receptors after systemic prednisolone treatment in experimental autoimmune uveoretinitis (EAU). METHODS: EAU mice received one intravenous injection of 7.5 mg/kg prednisolone (PDS) sodium phosphate at the peak of inflammation. EAU mice treated with only solvent served as the control. Total RNA was extracted from the whole eyes 1, 2, and 3 days after treatment. Gene expression analysis was conducted with a cDNA microarray, which contains 117 individual transcripts encoding the genes of the cytokines and chemokines and their receptors (29 cytokines and 34 cytokine receptors; 33 chemokines and 21 chemokine receptors). Comparisons of expression between PDS-treated and placebo-treated EAU mice at each time point were performed. The genes were sorted into clusters based on expression profiles, to clarify the gene regulation pattern after treatment. RESULTS: Forty-seven genes had a significant decrease in expression 1 day after treatment, 10 genes on day 2, and 46 genes on day 3. Ten genes were upregulated on day 1, but no gene was upregulated thereafter. Hierarchical cluster analysis of the microarray demonstrated that gene expression changes in EAU after treatment with PDS showed four patterns: flat, mountain, steep downhill, and less steep downhill. CONCLUSIONS: The implications of the clusters after treatment with PDS remain unclear. The results showed that hierarchical cluster analysis based on comprehensive gene expression profiles may provide a powerful tool for identifying genes not previously associated with the therapeutic targets in ocular inflammation.

Animals↗

Methods of analysis for chemicals that disrupt cellular signaling pathways: risk assessment for potential endocrine disruptors.

Here we present a basic concept and several examples of methods of analysis for chemicals that disrupt cellular signaling pathways, in view of risk assessment for potential endocrine disrupting chemicals (EDCs). The key cellular signaling pathways include 1) ER/coactivator interaction, 2) AR translocation into the nucleus, 3) ER/NO/sGC/cGMP, 4) ER/Akt, 5) ER/Src, 6)ER/Src/Grb2, and 7) ER/Ca2+/CaM/CaMK pathways. These were visualized in relevant live cells using newly developed fluorescent and bioluminescent probes. Changes in cellular signals were thereby observed in nongenomic pathways of steroid hormones upon treatment of the target cells with steroid hormones and related chemicals. This method of analysis appears to be a rational approach to high-throughput prescreening (HTPS) of biohazardous chemicals, EDCs, in particular. Also described was the screening of gene expression by serial analysis of gene expression and gene chips upon applying EDCs to breast cancer cells, mouse livers, and human neuroblastoma NB-1 cells.

Animals↗

Identification of a host gene subset related to disease prognosis of HIV-1 infected individuals.

Although plasma-virus-RNA level and CD4-positive-T-cell count are useful to monitor clinical status of the human immunodeficiency virus (HIV)-infected individuals, clinical course is often varied among patients and sometimes difficult to predict. To identify additional parameters associated with disease progression, we examined by cDNA microarray the expression profiles of 731 immune-response-related genes in the peripheral blood mononuclear cells (PBMCs) from 21 HIV-positive individuals in Uganda. The analysis enabled the patients to be classified into three distinct groups on the basis of the gene expression patterns. Notably, these groups, clusters I, II and III, were highly associated with clinical status of the patients defined by CDC classification, categories A, B, and C, respectively. Statistical analysis identified 40 genes whose expressions were significantly up- or down-regulated in the cluster III patients (p<0.05). Up- and down-regulated genes included ones involved in immature T lymphocytes differentiation, apoptosis signaling, and active HIV replication, suggesting that the levels of active destruction and regeneration of mature T lymphocytes associated with enhanced HIV-1 replication is related to the disease progression. Follow-up study showed that the cluster classification improved prediction of disease prognosis with the CDC classification. These findings provide new clues for studying perturbation of host immunity, pathogenesis, and disease prognosis of HIV-infected individuals.

Adult↗

5'-end SAGE for the analysis of transcriptional start sites.

Identification of the mRNA start site is essential in establishing the full-length cDNA sequence of a gene and analyzing its promoter region, which regulates gene expression. Here we describe the development of a 5'-end serial analysis of gene expression (5' SAGE) that can be used to globally identify transcriptional start sites and the frequency of individual mRNAs. Of the 25,684 5' SAGE tags in the HEK293 human cell library, 19,893 matched to the human genome. Among 15,448 tags in one locus of the genome, 85.8%-96.1% of the 5' SAGE tags were assigned within -500 to +200 nt of mRNA start sites using the RefSeq, UniGene and DBTSS databases. This technique should facilitate 5'-end transcriptome analysis in a variety of cells and tissues.

5' Flanking Region↗

Mobilization of dendritic cell precursors into the circulation by administration of MIP-1alpha in mice.

BACKGROUND: Dendritic cells (DCs) play a central role in immune responses and may be useful adjuvants for tumor vaccine therapy. We previously reported that F4/80(-)B220(-)CD11c(+) DC precursors expressing the CC chemokine receptors CCR1 and CCR5 are mobilized rapidly into the circulation in mice injected with Propionibacterium acnes and are recruited into inflammatory tissue by macrophage inflammatory protein 1alpha (MIP-1alpha), which binds to CCR1 and CCR5. Here we investigate the mechanisms of DC precursor mobilization and the antitumor effect of these cells in mice. METHODS: Numbers of DC precursors in peripheral blood were determined in P. acnes-treated mice (groups of 10 C57BL/B6 [B6] wild-type mice, CCR1(-/-) mice, CCR5(-/-) mice, and B6 mice treated with antibody to MIP-1alpha or control antibody) and in B6 mice injected with recombinant MIP-1alpha. MIP-1alpha-mobilized DC precursors matured by treatment with granulocyte-macrophage colony-stimulating factor, interleukin 4, and tumor necrosis factor-alpha and pulsed with B16 melanoma lysates were assayed for their ability to confer protective immunity against tumor challenge in vivo and to induce cytotoxic T lymphocytes against B16 tumor cells in vitro. RESULTS: The recruitment of DC precursors into the circulation by P. acnes administration was higher in B6 mice (12.6%, 95% confidence interval [CI] = 9.1% to 16.1%) than in CCR1(-/-) (9.0%, 95% CI = 7.5% to 10.5%), CCR5(-/-) (6.3%, 95% CI = 5.2% to 7.3%), or anti-MIP-1alpha antibody-treated (6.6%, 95% CI = 5.7% to 7.5%) mice. Injection of MIP-1alpha also mobilized DC precursors into the circulation (13.1%, 95% CI = 10.8% to 15.6%). Matured MIP-1alpha-mobilized-DC precursors pulsed with B16 tumor lysates elicited B16-specific antitumor immunity in vitro and in vivo. CONCLUSIONS: MIP-1alpha and its receptors are important in recruiting DC precursors into the circulation. DC precursors mobilized rapidly by MIP-1alpha may provide sufficient useful DC precursors for DC-based vaccination in cancer treatment.

Animals↗

Analysis of mRNA with microsomal fractionation using a SAGE-based DNA microarray system facilitates identification of the genes encoding secretory proteins.

In the regulation of host defense responses such as inflammation and immunity, the secretory proteins, including membrane proteins, play central roles. Although many secretory proteins have been identified by using methods such as differential display, random screening, or the signal sequence trap method, each method suffers from poor reproducibility, low sensitivity, or time-consuming or laborious work. Therefore, the strategy for facilitating the selection of the genes encoding the secretory proteins is desired. In this paper, we describe a system for isolating the genes encoding secretory proteins by analyzing mRNAs with microsomal fractionation on serial analysis of gene expression (SAGE)-based DNA microarray system. This system succeeded in discriminating the genes encoding secretory proteins from ones encoding nonsecretory proteins with 80% accuracy. We applied this system to human T lymphocytes. As a result, we were able to identify the genes that are not only encoding secretory proteins but also expressing selectively in a specific subset of T lymphocytes. The SAGE-based DNA microarray system is a promising system to identify the genes encoding specific secretory proteins.

Amino Acid Sequence↗

Gene expression profile in human leukocytes.

Leukocytes are classified as myelocytic or lymphocytic, and each class of leukocytes consists of several types of cells that have different phenotypes and different roles. To define the gene expression in these cells, we have performed serial analysis of gene expression (SAGE) using human leukocytes and have provided the gene database for these cells not only at the resting stage but also at the activated stage. A total of 709,990 tags from 17 libraries were analyzed for the manifestation of gene expression profiles in various types of human leukocytes. Types of leukocytes analyzed were as follows: peripheral blood monocytes, colony-stimulating factor-induced macrophages, monocyte-derived immature dendritic cells, mature/activated dendritic cells, granulocytes, natural killer (NK) cells, resting B cells, activated B cells, naive T cells, CCR4(-) memory T cells (resting T(H)1 cells), CCR4(+) memory T cells (resting T(H)2 cells), activated T(H)1 cells, and activated T(H)2 cells. Among 38,961 distinct tags that appeared more than once in the combined total libraries, 27,323 tags were found to represent unique genes in certain type(s) of leukocytes. Using probability (P) and hierarchical clustering analysis, we identified the genes selectively expressed in each type of leukocytes. Identification of the genes specifically expressed in different types of leukocytes provides not only a novel molecular signature to define different subsets of resting and activated cells but also contributes to further understanding of the biologic function of leukocytes in the host defense system.

Databases, Factual↗

Gene expression profile analysis of the mouse liver during bacteria-induced fulminant hepatitis by a cDNA microarray system.

Fulminant hepatic failure (FHF) is a disease characterized by sudden and severe impairment of liver function. To elucidate the mechanism involved in FHF, we adopted a murine model of FHF by administrating mice with heat-killed Propionibacterium acnes (P. acnes), followed by a low dose of lipopolysaccharide (LPS), and analyzed the dynamic change of gene expression profile of the murine liver using an in-house cDNA microarray system which contained most of the cDNAs encoding chemokines/cytokines and their receptors (33 chemokines/21 chemokine receptors, 28 cytokines/35 cytokine receptors) as well as 230 liver related proteins mostly selected by serial analysis of gene expression (SAGE). Among them, 335 genes were found to differ by more than 2-fold in at least one time point comparing with normal liver. Hierarchical cluster analysis revealed that except for a few genes, such as heme oxygenase (HO)-1 and nicotinamide N-methyltransferase (NNMT) of which expression increased, the expression of most of the genes encoding drug metabolizing enzymes decreased with the progress of the disease. The expression of the genes encoding chemokines/cytokines was dramatically changed, such as Mig, IP-10, RANTES, TNF-alpha, and IFN-gamma. In addition, the expression of those that were not previously linked to this murine model was also identified to be changed. These include endogenous IL-18 binding protein (IL-18BP), CXCL16 (the ligand of Bonzo, CXCR6) as well as ESTs. Taken together this study has shown the systemic and comprehensive gene expression profile during FHF and may contribute to better understanding of the mechanism of FHF.

Amino Acid Sequence↗

Identification of 2,3,7,8-tetrachlorodibenzo-p-dioxin-responsive genes in mouse liver by serial analysis of gene expression.

2,3,7,8-tetrachlorodibenzo-p-dioxin (TCDD) is one of the most toxic environmental pollutants that causes various biological effects on mammals. To identify the genes involved in hepatotoxicity and hepatocarcinogenesis induced by TCDD, we have conducted here serial analysis of gene expression of mouse liver 7 days after treatment with a single oral dose of 20 microg TCDD/kg body weight. We have sequenced total of 113,067 tags, including 56,420 tags and 56,647 tags from normal liver and TCDD-treated liver library, respectively. Statistical analysis showed that TCDD significantly altered 346 transcripts (p < 0.05) including 94 ESTs. The genes regulated by TCDD were not only the genes encoding drug metabolizing enzymes and stress response genes but also a wide variety of genes encoding cytoskeleton related proteins, signal transduction, and plasma proteins. This comprehensive gene expression analysis would provide novel genes that may help to clarify the mechanism of TCDD effects on mammalian liver, and also give a new approach for prevention and treatment.

Animals↗

Comprehensive gene expression analysis of human NK cells and CD8(+) T lymphocytes.

Cytotoxic lymphocytes, NK cells and CD8(+) T cells play a pivotal role in the host defense. To reveal the biological function of these cells through establishing a comprehensive gene expression profile, serial analysis of gene expression was performed in human peripheral blood NK cells and CD8(+) T cells. In total, 85,848 tags corresponding to >20,000 different transcripts were sequenced. The genes expressed abundantly in these libraries mostly consisted of genes encoding MHC class I and molecules related to protein synthesis. Among gene transcripts which related to cytotoxicity, granulysin, perforin, granzyme B and alpha-defensin 1 were highly expressed in NK cells. Resting CD8(+) T cells did not express the genes related to cytotoxicity, but expressed abundantly the genes encoding chemokines, tumor necrosis factor family. When CD8(+) T cells were sorted into naive, memory and effector subsets based on the expression of CD45RA and CD27, perforin and granzyme B were expressed in the CD45RA(+)CD27(-) effector subset. Alpha-defensin 1, one of the selectively expressed genes in NK cells, induced migration of naive CD8(+)CD45RA(+)CD27(+) T cells, but not memory CD8(+)CD45RA(-)CD27(+) or effector CD8(+)CD45RA(+)CD27(-) T cells. Furthermore, treatment with IL-15, a stimulator of NK cell development, differentiation, survival and cytotoxicity, rapidly enhanced the expression of alpha-defensin 1 in NK cells. The identification of the genes preferentially expressed in NK and CD8(+) T cell subsets may give important insights into the functions of these cells against virus infection and in tumor immunity.

CD8-Positive T-Lymphocytes↗

Systematic identification of human melanoma antigens using serial analysis of gene expression (SAGE).

To identify new melanoma antigens using systematic gene expression analysis combined with rapid screening of patient sera for immunogenicity, a serial analysis of gene expression (SAGE) method was applied to profile transcripts in a highly pigmented melanoma cell line SKmel23. 25,997 SAGE tags consisting of 10,382 unique transcripts were sequenced. This melanoma SAGE library was compared with a testis SAGE library and the colon SAGE database, and to the cDNA database obtained by random sequencing of a melanocyte cDNA library. Among the 15 tags finally selected with criteria of preferential expression on melanoma and melanocytes at relatively high frequency, two tags were further analyzed for their structure and immunogenicity. One was identified as PAX3, and its isoform, PAX3d, was found to be dominantly expressed in melanoma and melanocytes. The other was derived from a novel gene and its full-length cDNA clone was isolated. Preferential expression of these genes in melanoma and melanocytes was confirmed by RT-PCR and Northern blot analysis. The recombinant bacterial PAX3d protein was recognized by serum IgG from some patients with melanoma and Vogt-Koyanagi-Harada (VKH) disease but not from healthy individuals, indicating that PAX3d is a new melanocyte-specific antigen immunogenic in patients with melanoma or VKH disease. The authors report two melanocyte/melanoma-specific molecules, which may be useful for development of diagnosis or treatment of these pigment disorders. In addition, a system using SAGE and immunoscreening with patients' sera is shown to be an efficient method for the systematic identification of tumor antigens.

Amino Acid Sequence↗