Biomedical subjects

Keiichi Kojima

Publications and source records attributed to Keiichi Kojima.

8 recordsLinked to original sources

PubMed2006

Transcriptomic analysis indicates putative metabolic changes caused by manipulation of phosphorus availability in rice leaves.

Plants have developed several strategies for coping with phosphorus (P) deficiency. However, the details of the regulation of gene expression of adaptations to low P are still unclear. Using a cDNA microarray, transcriptomic analyses were carried out of the rice genes regulated by P deficiency and P re-supply to P-deficient plants. The OsPI1 gene, which was isolated as the most significant up-regulated gene under -P conditions, was also the most significant down-regulated gene following P re-supply. Many starch metabolism-related genes, as well as several genes for P(i)-liberating enzymes, were up-regulated by -P treatment, suggesting a homeostatic contribution to the P(i) concentration in leaf tissues. mRNAs for glucanases were also induced by P re-supply: these are suspected to play a role in loosening the cell wall compounds. Most of the genes up-regulated by -P treatment were down-regulated by P re-supply, suggesting that their responses were specific to -P conditions. Conversely, the number of genes up-regulated by P re-supply was also larger following P re-supply than in the -P condition. It is proposed that the genes up-regulated by P re-supply play an important role in P acquisition by P-deficient plants.

Gene Expression Profiling↗

PubMed2004

Transcriptional profiling of genes responsive to abscisic acid and gibberellin in rice: phenotyping and comparative analysis between rice and Arabidopsis.

We collected and completely sequenced 32,127 full-length complementary DNA clones from Oryza sativa L. ssp. japonica cv. "Nipponbare." Mapping of these clones to genomic DNA revealed approximately 20,500 transcriptional units (TUs) in the rice genome. For each TU, we selected 60-mers using an algorithm that took into account some DNA conditions such as base composition and sequence complexity. Using in situ synthesis technology, we constructed oligonucleotide arrays with these TUs on glass slides. We targeted RNAs prepared from normally grown rice callus and from callus treated with abscisic acid (ABA) or gibberellin (GA). We identified 200 ABA-responsive and 301 GA-responsive genes, many of which had never before been annotated as ABA or GA responsive in other expression analysis. Comparison of these genes revealed antagonistic regulation of almost all by both hormones; these had previously been annotated as being responsible for protein storage and defense against pathogens. Comparison of the cis-elements of genes responsive to one or antagonistic to both hormones revealed that the antagonistic genes had cis-elements related to ABA and GA responses. The genes responsive to only one hormone were rich in cis-elements that supported ABA and GA responses. In a search for the phenotypes of mutants in which a retrotransposon was inserted in these hormone-responsive genes, we identified phenotypes related to seed formation or plant height, including sterility, vivipary, and dwarfism. In comparison of cis-elements for hormone response genes between rice and Arabidopsis thaliana, we identified cis-elements for dehydration-stress response as Arabidopsis specific and for protein storage as rice specific.

Abscisic Acid↗

PubMed2004

The Rice PIPELINE: a unification tool for plant functional genomics.

The Rice Genome Research Project in Japan performs genome sequencing and comprehensive expression profiling, constructs genetic and physical maps, collects full-length cDNAs and generates mutant lines, all aimed at improving the breeding of the rice plant as a food source. The National Institute of Agrobiological Sciences in Tsukuba, Japan, has accumulated numerous rice biological resources and has already successfully produced a high-quality genome sequence, a high-density genetic map with 3000 markers, 30,000 full-length cDNAs, over 700 expression profiles with a 9000 cDNA microarray and 15,000 flanking sequences with Tos17 insertions in about 3765 mutant lines from about 50,000 transposon insertion lines. These resources are available in the public domain. A new unification tool for functional genomics, called Rice PIPELINE, has also been developed for the dynamic collection and compilation of genomics data (genome sequences, full-length cDNAs, gene expression profiles, mutant lines, cis elements) from various databases. The mission of Rice PIPELINE is to provide a unique scientific resource that pools publicly available rice genomic data for search by clone sequence, clone name, GenBank accession number, or keyword. The web-based form of Rice PIPELINE is available at http://cdna01.dna.affrc.go.jp/PIPE/.

Computational Biology↗

PubMed2004

Rice Proteome Database based on two-dimensional polyacrylamide gel electrophoresis: its status in 2003.

The Rice Proteome Database is the first detailed database to describe the proteome of rice. The current release contains 21 reference maps based on two-dimensional polyacrylamide gel electrophoresis (2D-PAGE) of proteins from rice tissues and subcellular compartments. These reference maps comprise 11 941 identified proteins showing tissue and subcellular localization, corresponding to 4180 separate protein entries in the database. The Rice Proteome Database contains the calculated properties of each protein such as molecular weight, isoelectric point and expression; experimentally determined properties such as amino acid sequences obtained using protein sequencers and mass spectrometry; and the results of database searches such as sequence homologies. The database is searchable by keyword, accession number, protein name, isoelectric point, molecular weight and amino acid sequence, or by selection of a spot on one of the 2D-PAGE reference maps. Cross-references are provided to tools for proteomics and to other 2D-PAGE databases, which in turn provide many links to other molecular databases. The information in the Rice Proteome Database is updated weekly, and is available on the World Wide Web at http://gene64.dna.affrc.go.jp/RPD/.

Computational Biology↗

PubMed2003

Comprehensive analysis of NAC family genes in Oryza sativa and Arabidopsis thaliana.

The NAC domain was originally characterized from consensus sequences from petunia NAM and from Arabidopsis ATAF1, ATAF2, and CUC2. Genes containing the NAC domain (NAC family genes) are plant-specific transcriptional regulators and are expressed in various developmental stages and tissues. We performed a comprehensive analysis of NAC family genes in Oryza sativa (a monocot) and Arabidopsis thaliana (a dicot). We found 75 predicted NAC proteins in full-length cDNA data sets of O. sativa (28,469 clones) and 105 in putative genes (28,581 sequences) from the A. thaliana genome. NAC domains from both predicted and known NAC family proteins were classified into two groups and 18 subgroups by sequence similarity. There were a few differences in amino acid sequences in the NAC domains between O. sativa and A. thaliana. In addition, we found 13 common sequence motifs from transcriptional activation regions in the C-terminal regions of predicted NAC proteins. These motifs probably diverged having correlations with NAC domain structures. We discuss the relationship between the structure and function of the NAC family proteins in light of our results and the published data. Our results will aid further functional analysis of NAC family genes.

Arabidopsis↗

PubMed2003

Genomics approach to abscisic acid- and gibberellin-responsive genes in rice.

We used an 8987-EST collection to construct a cDNA microarray system with various genomics information (full-length cDNA, expression profile, high accuracy genome sequence, phenotype, genetic map, and physical map) in rice. This array was used as a probe to hybridize target RNAs prepared from normally grown callus of rice and from callus treated for 6 hr or 3 days with the hormones abscisic acid (ABA) or gibberellin (GA). We identified 509 clones, including many clones that had never been annotated as ABA-or GA-responsive. These genes included not only ABA- or GA-responsive genes but also genes responsive to other physiological conditions such as pathogen infection, heat shock, and metal ion stress. Comparison of ABA- and GA-responsive genes revealed antagonistic regulation for these genes by both hormones except for one defense-related gene, thionin. The gene for thionin was up-regulated by both hormone treatments for 3 days. The upstream regions of all the genes that were regulated by both hormones had cis-elements for ABA and GA response. We performed a clustering analysis of genes regulated by both hormones and various expression profiles that showed three notable clusters (seed tissues, low temperature and sugar starvation, and thionin-gene related). A comparison of the cis-elements for hormone response genes between rice and Arabidopsis thaliana, we identified cis-elements for dehydration-stress response or for expression of amylase gene as Arabidopsis gene-specific or rice gene-specific, respectively.

Abscisic Acid↗

PubMed2003

Collection, mapping, and annotation of over 28,000 cDNA clones from japonica rice.

We collected and completely sequenced 28,469 full-length complementary DNA clones from Oryza sativa L. ssp. japonica cv. Nipponbare. Through homology searches of publicly available sequence data, we assigned tentative protein functions to 21,596 clones (75.86%). Mapping of the cDNA clones to genomic DNA revealed that there are 19,000 to 20,500 transcription units in the rice genome. Protein informatics analysis against the InterPro database revealed the existence of proteins presented in rice but not in Arabidopsis. Sixty-four percent of our cDNAs are homologous to Arabidopsis proteins.

Alternative Splicing↗

PubMed2003

Effects of phytosterol ester-enriched vegetable oil on plasma lipoproteins in healthy men.

It has been reported that phytosterol esters reduce cholesterol absorption and lower serum cholesterol concentration. There have been very few studies published on the effect of dose of phytosterol esters less than 1.0 g/day on plasma cholesterol levels in healthy subjects using commonly consumed foods. In this study, we evaluated the effect of 0.45 g/day (as free sterol) phytosterol ester-enriched dissolved in vegetable oil on plasma lipoproteins in sixty healthy males with slightly elevated total cholesterol concentration. This study was conducted in a randomized, double-blind, placebo-controlled, and arm parallel study. A total of 14 g/day of phytosterol ester-enriched vegetable oil containing 0.45 g phytosterol (as the major free sterol) was compared with a control vegetable oil containing 0.04 g phytosterol (as the major free sterol). All subjects did not change their usual dietary habit and consumed foods that included about 360 mg/day cholesterol for 12 weeks. In subjects with higher total cholesterol concentrations (>200mg/dL), the phytosterol enriched-vegetable oil significantly reduced total cholesterol (10.3%, P<0.05), very low density (VLDL) lipoprotein cholesterol (22.5%, P<0.05), and remnant-like lipoprotein (RLP) cholesterol (24.7%, P<0.01) compared with the control vegetable oil. A reduction in low density lipoprotein (LDL) cholesterol concentration was also observed. In particular, the improvement in serum lipoprotein was more pronounced in subjects with higher total cholesterol concentrations. Triglycerides and high density lipoprotein (HDL) cholesterol did not change significantly. Plasma concentration of fat-soluble vitamins (tocopherol and retinol) and beta-carotene were not statistically significantly affected by phytosterol ester-enriched vegetable oil. These findings indicate that a daily consumption of phytosterol ester as low as 0.45 g/day (as free sterol) is effective in lowering blood total cholesterol concentration and RLP cholesterol concentration. Lower total cholesterol, VLDL cholesterol and RLP cholesterol due to consumption of the phytosterol ester-enriched vegetable oil may be helpful in reducing the risk of CHD in the population.

Adult↗