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Biomedical subjects

Hideo Matsuda

Publications and source records attributed to Hideo Matsuda.

17 recordsLinked to original sources

A method for similarity search of genomic positional expression using CAGE.

With the advancement of genome research, it is becoming clear that genes are not distributed on the genome in random order. Clusters of genes distributed at localized genome positions have been reported in several eukaryotes. Various correlations have been observed between the expressions of genes in adjacent or nearby positions along the chromosomes depending on tissue type and developmental stage. Moreover, in several cases, their transcripts, which control epigenetic transcription via processes such as transcriptional interference and genomic imprinting, occur in clusters. It is reasonable that genomic regions that have similar mechanisms show similar expression patterns and that the characteristics of expression in the same genomic regions differ depending on tissue type and developmental stage. In this study, we analyzed gene expression patterns using the cap analysis gene expression (CAGE) method for exploring systematic views of the mouse transcriptome. Counting the number of mapped CAGE tags for fixed-length regions allowed us to determine genomic expression levels. These expression levels were normalized, quantified, and converted into four types of descriptors, allowing the expression patterns along the genome to be represented by character strings. We analyzed them using dynamic programming in the same manner as for sequence analysis. We have developed a novel algorithm that provides a novel view of the genome from the perspective of genomic positional expression. In a similarity search of expression patterns across chromosomes and tissues, we found regions that had clusters of genes that showed expression patterns similar to each other depending on tissue type. Our results suggest the possibility that the regions that have sense-antisense transcription show similar expression patterns between forward and reverse strands.

Algorithms↗

Cerebral edema on MRI in severe preeclamptic women developing eclampsia.

OBJECTIVE: The aim of this study is to identify suitable applications for cerebral MR (magnetic resonance) scanning in cases of severe preeclampsia and eclampsia through comparison of clinical course and easily accessible parameters. METHODS: From January 2001 to December 2003, cerebral MR scans were performed on 43 women with severe preeclampsia; of those 41 were enrolled in data analyses. Twenty clinical parameters, including age, body mass index, blood pressure, liver and renal function, and coagulation status, were compared for each patient. Data were analyzed using the SPSS program on a VAX main frame. RESULTS: Among 41 severe preeclamptic women, abnormal MR images were observed in 11 cases including six with systemic seizures. Predictive accuracy of eclampsia with abnormal cerebral MR imaging was 84.9% (P=0.00001), while only 14.3% of severe preeclampsia cases had been diagnosed radiologically. Statistical analysis suggests diastolic BP and serum AST as predictive parameters for abnormal MR images with 82.9% predictive accuracy (P=0.0007). CONCLUSIONS: Cerebral edema can be observed in preeclamptic patients developing eclampsia. Rapid delivery is indicated when diastolic BP and AST are elevated. MR scanning is useful when delivery is delayed due to fetal immaturityin cases of severe preeclampsia.

Acute Disease↗

Intrauterine therapy for parvovirus B19 infected symptomatic fetus using B19 IgG-rich high titer gammaglobulin.

Parvovirus B19-infected hydrops fetalis was treated using gammaglobulin injection into the peritoneal cavity (GIFPeC) with B19-IgG-rich immunoglobulin. Fetal anemia and hydrops resolved, and B19-DNA in fetal ascites decreased despite no change in maternal B19-IgG or B19-DNA. Gammaglobulin injection into the peritoneal cavity is thus useful for treating hydrops fetalis while avoiding intrauterine blood-transfusion risks.

Adult↗

Biased biological functions of horizontally transferred genes in prokaryotic genomes.

Horizontal gene transfer is one of the main mechanisms contributing to microbial genome diversification. To clarify the overall picture of interspecific gene flow among prokaryotes, we developed a new method for detecting horizontally transferred genes and their possible donors by Bayesian inference with training models for nucleotide composition. Our method gives the average posterior probability (horizontal transfer index) for each gene sequence, with a low horizontal transfer index indicating recent horizontal transfer. We found that 14% of open reading frames in 116 prokaryotic complete genomes were subjected to recent horizontal transfer. Based on this data set, we quantitatively determined that the biological functions of horizontally transferred genes, except mobile element genes, are biased to three categories: cell surface, DNA binding and pathogenicity-related functions. Thus, the transferability of genes seems to depend heavily on their functions.

Algorithms↗

Trisomy 1 in a case of a missed abortion.

Most chromosomal trisomies lead to miscarriages. In all trisomies, trisomy 1 is the most rare case. We herein present a patient who demonstrated a gestational sac and a yolk sac on transvaginal ultrasound. However, at 53 days of gestation, the pregnancy was lost with a diagnosis of a blighted ovum. A D&C was recommended and performed. A cytogenetic analysis from chorionic villi demonstrated a 47,XX,+1 chromosome complement in all 100 cells. Regarding full trisomy 1, there has only been one case report of a preembryo and two case reports in a clinically recognized pregnancy to date.

Abortion, Missed↗

Integrative annotation of 21,037 human genes validated by full-length cDNA clones.

The human genome sequence defines our inherent biological potential; the realization of the biology encoded therein requires knowledge of the function of each gene. Currently, our knowledge in this area is still limited. Several lines of investigation have been used to elucidate the structure and function of the genes in the human genome. Even so, gene prediction remains a difficult task, as the varieties of transcripts of a gene may vary to a great extent. We thus performed an exhaustive integrative characterization of 41,118 full-length cDNAs that capture the gene transcripts as complete functional cassettes, providing an unequivocal report of structural and functional diversity at the gene level. Our international collaboration has validated 21,037 human gene candidates by analysis of high-quality full-length cDNA clones through curation using unified criteria. This led to the identification of 5,155 new gene candidates. It also manifested the most reliable way to control the quality of the cDNA clones. We have developed a human gene database, called the H-Invitational Database (H-InvDB; http://www.h-invitational.jp/). It provides the following: integrative annotation of human genes, description of gene structures, details of novel alternative splicing isoforms, non-protein-coding RNAs, functional domains, subcellular localizations, metabolic pathways, predictions of protein three-dimensional structure, mapping of known single nucleotide polymorphisms (SNPs), identification of polymorphic microsatellite repeats within human genes, and comparative results with mouse full-length cDNAs. The H-InvDB analysis has shown that up to 4% of the human genome sequence (National Center for Biotechnology Information build 34 assembly) may contain misassembled or missing regions. We found that 6.5% of the human gene candidates (1,377 loci) did not have a good protein-coding open reading frame, of which 296 loci are strong candidates for non-protein-coding RNA genes. In addition, among 72,027 uniquely mapped SNPs and insertions/deletions localized within human genes, 13,215 nonsynonymous SNPs, 315 nonsense SNPs, and 452 indels occurred in coding regions. Together with 25 polymorphic microsatellite repeats present in coding regions, they may alter protein structure, causing phenotypic effects or resulting in disease. The H-InvDB platform represents a substantial contribution to resources needed for the exploration of human biology and pathology.

Alternative Splicing↗

Graph-based clustering for finding distant relationships in a large set of protein sequences.

MOTIVATION: Clustering of protein sequences is widely used for the functional characterization of proteins. However, it is still not easy to cluster distantly-related proteins, which have only regional similarity among their sequences. It is therefore necessary to develop an algorithm for clustering such distantly-related proteins. RESULTS: We have developed a time and space efficient clustering algorithm. It uses a graph representation where its vertices and edges denote proteins and their sequence similarities above a certain cutoff score, respectively. It repeatedly partitions the graph by removing edges that have small weights, which correspond to low sequence similarities. To find the appropriate partitions, we introduce a score combining the normalized cut and a locally minimal cut capacities. Our method is applied to the entire 40,703 human proteins in SWISS-PROT and TrEMBL. The resulting clusters shows a 76% recall (20,529 proteins) of the 26,917 classified by InterPro. It also finds relationships not found by other clustering methods. AVAILABILITY: The complete result of our algorithm for all the human proteins in SWISS-PROT and TrEMBL, and other supplementary information are available at http://motif.ics.es.osaka-u.ac.jp/Ncut-KL/

Algorithms↗

FREP: a database of functional repeats in mouse cDNAs.

The FREP database (http://facts.gsc.riken.go.jp/FREP/) contains 31 396 RepeatMasker-identified non-redundant variant repeat sequences derived from 16,527 mouse cDNAs with protein-coding potential. The repeats were computationally associated with potential effects on transcriptional variation, translation, protein function or involvement in disease to identify Functional REPeats (FREPs). FREPs are defined by the (i) occurrence of exon-exon boundaries in repeats, (ii) presence of polyadenylation sites in 3'UTR-located repeats, (iii) effect on translation, (iv) position in the protein- coding region or protein domains or (v) conditional association with disease MeSH terms. Currently the database contains 9261 (29.5%) inferred FREPs derived from 6861 (41.5%) mouse cDNAs. Integrated evidence of the functional assignments and dynamically generated sequence similarity search results support the exploration and annotation of functional, ancestral or taxon-specific repeats. Keyword and pre-selected feature searches (e.g. coding sequence-repeat or splice site-repeat relations) support intuitive database querying as well as the retrieval of repeat sequences. Integrated sequence search and alignment tools allow the analysis of known or identification of new functional repeat candidates. FREP is a unique resource for illuminating the role of transposons and repetitive sequences in shaping the coding part of the mouse transcriptome and for selecting the appropriate experimental model to study diseases with suspected repeat etiology contributions.

Animals↗

Successful management of cervical pregnancy by selective uterine artery embolization: a case report.

BACKGROUND: Cervical pregnancy is potentially associated with life-threatening hemorrhage and often requires hysterectomy to stop the bleeding. Conservative management is becoming more common as treatment of cervical pregnancy. CASE: A case of cervical pregnancy presented with a severe vaginal hemorrhage at 6 weeks' gestation. The patient was conservatively managed with selective bilateral uterine artery embolization (UAE). The vaginal bleeding stopped completely after UAE. The clinical course was uneventful and serum human chorionic gonadotropin decreased immediately. The cervical mass gradually shrank and disappeared on the 31st day after UAE. UAE. CONCLUSION: This was the second case of cervical pregnancy successfully treated with only UAE.

Adult↗

Architecture of a grid-enabled research platform with location-transparency for bioinformatics.

The recent advance in information technologies has bought about the borderlessness in every field of both science and business. The borderlessness has increasingly made activities in interdisciplinary field more important. This current situation produces a strong demand that people want to establish a virtual group, organization and society for their business and scientific purposes irrespective of the actual structure formed by organizations. Remarkably, bio sciences require a research platform that satisfies such demand for further development. In this paper, we present a research platform for bioinformatics in detail. The prominent feature of the research platform is the use of Grid and its location transparency, which means that bio scientists and researchers are able to utilize a large amount of computational power for their analysis and to access data of their interest without being aware of where data and computational resources are located. The usefulness and feasibility of the architecture of the research platform is shown as well as future issues to achieve toward the final goal of our research in this paper.

Biomedical Research↗

A method for clustering gene expression data based on graph structure.

Recently, gene expression data under various conditions have largely been obtained by the utilization of the DNA microarrays and oligonucleotide arrays. There have been emerging demands to analyze the function of genes from the gene expression profiles. For clustering genes from their expression profiles, hierarchical clustering has been widely used. The clustering method represents the relationships of genes as a tree structure by connecting genes using their similarity scores based on the Pearson correlation coefficient. But the clustering method is sensitive to experimental noise. To cope with the problem, we propose another type of clustering method (the p-quasi complete linkage clustering). We apply this method to the gene expression data of yeast cell-cycles and human lung cancer. The effectiveness of our method is demonstrated by comparing clustering results with other methods.

Algorithms↗

MaXML: mouse annotation XML.

Although the sequencing of the human genome and several model organisms is almost complete, the number of genes in the human is still in debate. cDNA (complementary DNA) is generated from mRNA that is transcribed from the genome and can be regarded as a gene itself; therefore, decoding cDNA sequences is important in characterizing genes. Recently, biologists have been able to describe more knowledge about genes in order to characterize them, and this information is generally called 'annotation.' Furthermore, annotation is important in understanding the systems of organisms in various fields of research. We therefore constructed the MaXML (Mouse annotation XML) format with which mouse cDNA annotation data can be exchanged and shared between laboratories more efficiently. Defining strict data types for annotations is difficult, but we consider XML a feasible format for describing them. We have used the MaXML format to express mouse annotation data in FANTOM DB. We have also developed tools and systems utilizing these MaXML data, including a parser and a server to provide data on-the-fly.

Animals↗

Immunological and endocrinological studies on lymphocyte subpopulation and medical treatment for infertility in patients with endometriosis.

We investigated the relationship between interleukin-6 (IL-6) levels and subset profiles of T lymphocyte (T-cell) and macrophage in peritoneal fluid (PF) with or without endometriosis (EM). IL-6 levels in PF with EM were significantly higher than those without EM. IL-6 producing cells with EM were analyzed in each activated mature T-cell (CD3+CD69+) and macrophage (CD14+) were 0.5 and 3.5%, respectively, whereas it was mostly negative in those without EM. Cytotoxic T-cell (CD8+CD11b-) profiles in PF with EM were also quiet different from those without EM. Cellular immunity in the peripheral blood did not change during the course of IVF-ET cycles, although plasma levels of ovarian steroid hormones significantly increased comparing with that in normal ovarian cycles. Cytotoxic T-cell type 1 (Tc1) profiles might be useful predictive values in the pregnancy outcome for infertile patients with EM.

Ascitic Fluid↗

Mouse proteome analysis.

A general overview of the protein sequence set for the mouse transcriptome produced during the FANTOM2 sequencing project is presented here. We applied different algorithms to characterize protein sequences derived from a nonredundant representative protein set (RPS) and a variant protein set (VPS) of the mouse transcriptome. The functional characterization and assignment of Gene Ontology terms was done by analysis of the proteome using InterPro. The Superfamily database analyses gave a detailed structural classification according to SCOP and provide additional evidence for the functional characterization of the proteome data. The MDS database analysis revealed new domains which are not presented in existing protein domain databases. Thus the transcriptome gives us a unique source of data for the detection of new functional groups. The data obtained for the RPS and VPS sets facilitated the comparison of different patterns of protein expression. A comparison of other existing mouse and human protein sequence sets (e.g., the International Protein Index) demonstrates the common patterns in mammalian proteomes. The analysis of the membrane organization within the transcriptome of multiple eukaryotes provides valuable statistics about the distribution of secretory and transmembrane proteins

Animals↗

Development and evaluation of an automated annotation pipeline and cDNA annotation system.

Manual curation has long been held to be the "gold standard" for functional annotation of DNA sequence. Our experience with the annotation of more than 20,000 full-length cDNA sequences revealed problems with this approach, including inaccurate and inconsistent assignment of gene names, as well as many good assignments that were difficult to reproduce using only computational methods. For the FANTOM2 annotation of more than 60,000 cDNA clones, we developed a number of methods and tools to circumvent some of these problems, including an automated annotation pipeline that provides high-quality preliminary annotation for each sequence by introducing an "uninformative filter" that eliminates uninformative annotations, controlled vocabularies to accurately reflect both the functional assignments and the evidence supporting them, and a highly refined, Web-based manual annotation tool that allows users to view a wide array of sequence analyses and to assign gene names and putative functions using a consistent nomenclature. The ultimate utility of our approach is reflected in the low rate of reassignment of automated assignments by manual curation. Based on these results, we propose a new standard for large-scale annotation, in which the initial automated annotations are manually investigated and then computational methods are iteratively modified and improved based on the results of manual curation.

Animals↗

Exploration of novel motifs derived from mouse cDNA sequences.

We performed a systematic maximum density subgraph (MDS) detection of conserved sequence regions to discover new, biologically relevant motifs from a set of 21,050 conceptually translated mouse cDNA (FANTOM1) sequences. A total of 3202 candidate sequences, which shared similar regions over >20 amino acid residues, were screened against known conserved regions listed in Pfam, ProDom, and InterPro. The filtering procedure resulted in 139 FANTOM1 sequences belonging to 49 new motif candidates. Using annotations and multiple sequence alignment information, we removed by visual inspection 42 candidates whose members were found to be false positives because of sequence redundancy, alternative splicing, low complexity, transcribed retroviral repeat elements contained in the region of the predicted open reading frame, and reports in the literature. The remaining seven motifs have been expanded by hidden Markov model (HMM) profile searches of SWISS-PROT/TrEMBL from 28 FANTOM1 sequences to 164 members and analyzed in detail on sequence and structure level to elucidate the possible functions of motifs and members. The novel and conserved motif MDS00105 is specific for the mammalian inhibitor of growth (ING) family. Three submotifs MDS00105.1-3 are specific for ING1/ING1L, ING1-homolog, and ING3 subfamilies. The motif MDS00105 together with a PHD finger domain constitutes a module for ING proteins. Structural motif MDS00113 represents a leucine zipper-like motif. Conserved motif MDS00145 is a novel 1-acyl-SN-glycerol-3-phosphate acyltransferase (AGPAT) submotif containing a transmembrane domain that distinguishes AGPAT3 and AGPAT4 from all other acyltransferase domain-containing proteins. Functional motif MDS00148 overlaps with the kazal-type serine protease inhibitor domain but has been detected only in an extracellular loop region of solute carrier 21 (SLC21) (organic anion transporters) family members, which may regulate the specificity of anion uptake. Our motif discovery not only aided in the functional characterization of new mouse orthologs for potential drug targets but also allowed us to predict that at least 16 other new motifs are waiting to be discovered from the current SWISS-PROT/TrEMBL database.

1-Acylglycerol-3-Phosphate O-Acyltransferase↗