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Biomedical subjects

Yoshikazu Hasegawa

Publications and source records attributed to Yoshikazu Hasegawa.

4 recordsLinked to original sources

Spontaneous disappearance of multiple lung metastases after nephroureterectomy from sarcomatoid carcinoma of the renal pelvis: a case report.

We report a case in which lung metastases disappeared spontaneously after nephroureterectomy from sarcomatoid carcinoma of the renal pelvis. A 58-year-old man presented with gross hematuria. Computed tomography (CT) revealed a left renal tumor and multiple lung metastases. Intravenous pyelography revealed a filling defect in the upper renal calyx. Urine cytology was positive. Left renal pelvic cancer was diagnosed and nephroureterectomy performed. The resected specimen was diagnosed pathologically as sarcomatoid carcinoma of the renal pelvis. Approximately 5 months later, CT revealed that the lung metastases had disappeared. There has been no evidence of disease for 46 months postoperatively.

Carcinoma↗

A flexible representation of omic knowledge for thorough analysis of microarray data.

BACKGROUND: In order to understand microarray data reasonably in the context of other existing biological knowledge, it is necessary to conduct a thorough examination of the data utilizing every aspect of available omic knowledge libraries. So far, a number of bioinformatics tools have been developed. However, each of them is restricted to deal with one type of omic knowledge, e.g., pathways, interactions or gene ontology. Now that the varieties of omic knowledge are expanding, analysis tools need a way to deal with any type of omic knowledge. Hence, we have designed the Omic Space Markup Language (OSML) that can represent a wide range of omic knowledge, and also, we have developed a tool named GSCope3, which can statistically analyze microarray data in comparison with the OSML-formatted omic knowledge data. RESULTS: In order to test the applicability of OSML to represent a variety of omic knowledge specifically useful for analysis of Arabidopsis thaliana microarray data, we have constructed a Biological Knowledge Library (BiKLi) by converting eight different types of omic knowledge into OSML-formatted datasets. We applied GSCope3 and BiKLi to previously reported A. thaliana microarray data, so as to extract any additional insights from the data. As a result, we have discovered a new insight that lignin formation resists drought stress and activates transcription of many water channel genes to oppose drought stress; and most of the 20S proteasome subunit genes show similar expression profiles under drought stress. In addition to this novel discovery, similar findings previously reported were also quickly confirmed using GSCope3 and BiKLi. CONCLUSION: GSCope3 can statistically analyze microarray data in the context of any OSML-represented omic knowledge. OSML is not restricted to a specific data type structure, but it can represent a wide range of omic knowledge. It allows us to convert new types of omic knowledge into datasets that can be used for microarray data analysis with GSCope3. In addition to BiKLi, by collecting various types of omic knowledge as OSML libraries, it becomes possible for us to conduct detailed thorough analysis from various biological viewpoints. GSCope3 and BiKLi are available for academic users at our web site http://omicspace.riken.jp.

Journal Article↗

TraitMap: an XML-based genetic-map database combining multigenic loci and biomolecular networks.

MOTIVATION: Most ordinary traits are well described by multiple measurable parameters. Thus, in the course of elucidating the genes responsible for a given trait, it is necessary to conduct and integrate the genetic mapping of each parameter. However, the integration of multiple mapping results from different publications is prevented by the fact that they are conventionally published and accumulated in printed forms or graphics which are difficult for computers to reuse for further analyses. RESULTS: We have defined an XML-based schema as a container of genetic mapping results, and created a database named TraitMap containing curator-checked data records based on published papers of mapping results in Homosapiens, Mus musculus, and Arabidopsis thaliana. TraitMap is the first database of mapping charts in genetics, and is integrated in a web-based retrieval framework: termed Genome <--> Phenome Superhighway (GPS) system, where it is possible to combine and visualize multiple mapping records in a two-dimensional display. Since most traits are regulated by multiple genes, the system associates every combination of genetic loci to biomolecular networks, and thus helps us to estimate molecular-level candidate networks responsible for a given trait. It is demonstrated that a combined analysis of two diabetes-related traits (susceptibility to insulin resistance and non-HDL cholesterol level) suggests that molecular-level relationships such as the interaction among leptin receptor (Lepr), peroxisome proliferators-activated receptor-gamma (Pparg) and insulin receptor substrate 1 (Irs1), are candidate causal networks affecting the traits in a multigenic manner. AVAILABILITY: TraitMap database and GPS are accessible at http://omicspace.riken.jp/gps/

Chromosome Mapping↗

Enhancing effect of advanced glycation end products on serotonin-induced platelet aggregation in patients with diabetes mellitus.

Advanced glycation end products (AGEs) are thought to be responsible for some complications of diabetes mellitus (DM), including microangiopathy. Plasma serotonin is increased in diabetes mellitus patients, and this increase is related, at least in part, to platelet hyperfunction. In order to clarify the relationship between advanced glycation end products, serotonin, and thrombotic complications in diabetes mellitus patients, we examined the effect of advanced glycation end products on serotonin-induced platelet aggregation. In diabetic patients, although serotonin-induced platelet aggregation was enhanced with an increase in serum-advanced glycation end products, there was no correlation between platelet aggregation and either hemoglobin A1c or fasting blood sugar. To examine the direct effect of advanced glycation end products on platelet aggregation, we prepared advanced glycation end products by in vitro incubation of human albumin with glucose (250 mM) at 37 degrees C for 8 weeks. Serotonin-induced platelet aggregation was dose-dependently increased by advanced glycation end products. Adenosine diphosphate-induced platelet aggregation also was increased by advanced glycation end products, but this increment was diminished by addition of sarpogrelate, a selective serotonin receptor antagonist. These results suggest that advanced glycation end products enhance platelet aggregation through the serotonin receptor, and perhaps influencing the development of thrombotic complications in diabetic patients.

Diabetes Mellitus, Type 2↗