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Yayoi Nishida

Publications and source records attributed to Yayoi Nishida.

10 recordsLinked to original sources

Detection of aberrations of ubiquitin-conjugating enzyme E2C gene (UBE2C) in advanced colon cancer with liver metastases by DNA microarray and two-color FISH.

Using DNA microarrays, the expression profiles of 1,700 genes in the primary tumor, liver metastases and paired normal tissue obtained from nine patients with advanced colorectal cancer was studied. Twenty genes were upregulated and only one gene was downregulated in the primary tumors. In the liver metastases, 39 genes were upregulated and only three genes were downregulated. There was no significant difference in gene expression between the primary tumors and the liver metastases. The most highly overexpressed gene in both the primary tumors and the liver metastases was the ubiquitin-conjugating enzyme E2C gene (UBE2C), located at 20q13.1. Additionally, two-color FISH analysis using probes for the region 20q13.1 and the chromosome 20 centromere revealed that amplification at 20q13.1 had occurred in 5 of 10 (50%) colon cancers. Comparison between the levels of gene expression and FISH results revealed that UBE2C expression is significantly changed by amplification at 20q13.1, suggesting genomic amplification as one mechanism of increased UBE2C expression. Our results showing aberrations in levels of gene expression and locus copy number of UBE2C suggest that this gene may play an important role in tumor progression leading to advanced colon cancer with liver metastasis.

Centromere↗

Statistical validation of two sample comparison methods for oligonucleotide microarray in rat ischemia model.

In gene expression analyses using a high-density oligonucleotide array in a rat ischemia model, two comparison methods, "pair-wise comparison" and "sample average comparison", were evaluated based on statistical methods. The reliability of the elements screened with a 1.2 to 10-fold threshold was also evaluated. In pair-wise comparisons, most of the elements were significantly independent of the threshold value, with the percentage of significant elements remaining above 95%, when screened at 2.5-fold or higher threshold value. Pair-wise comparison structurally provided strict screening, which resulted in genes that were not selected despite significant alterations in expression. Screening by "sample average comparison" resulted in elements with low probability of significance, which suggested the necessity for increasing the reliability by additional statistical analyses after screening. When genes with altered expression were screened using an oligonucleotide array, marked differences in the numbers and reliability were proved to exist among elements screened by each sample comparison method.

Animals↗

Screening for control genes in mouse hippocampus after transient forebrain ischemia using high-density oligonucleotide array.

In conventional relative gene expression analysis (Northern blotting, RT-PCR, and in situ hybridization), housekeeping genes such as the glyceraldehyde-3-phosphate dehydrogenase (GAPDH) and beta-actin genes, whose expression levels are considered stable, have been used as control genes for normalization of RNA quantitation. However, it has been reported that the expression levels of these two control genes are affected by ischemia. Therefore, we have been searching for novel control genes whose expression levels are stable in a mouse model of transient forebrain ischemia. Using the GeneChip Mu6500 array set, we monitored the expression levels of approximately 6000 murine genes in the mouse hippocampus during 24 h of ischemia-reperfusion. To select stable genes, we applied the restricted criterion of a 1.5-fold change in expression level as the threshold. By adding statistical analysis with this criterion, we identified 10 genes as candidates for control genes from the GeneChip data. In this criterion, GAPDH and beta-actin genes were not included in the 10 genes as candidates for control genes. The present findings might be relevant to the use of control genes in quantitation of RNA, particularly in the study of mouse transient forebrain ischemia.

Animals↗

Monitoring expression of cytochrome P450 genes during postischemic rat liver reperfusion using DNA microarrays.

We investigated the expression of 50 cytochrome P450 (CYP) genes in the postischemic reperfused rat liver using a DNA microarray. Thirteen CYPs showed absent expression in all experiments and 2 CYPs were induced by pentobarbital, which was used as an anesthetic. Eight of the remaining 35 CYPs showed significantly decreased expression following ischemia-reperfusion. Monitoring CYP expression may be a powerful approach for elucidation of pathways regulating drug metabolism that may be involved in postischemic reperfusion liver injury.

Animals↗

Molecular genetic alterations and gene expression profile of a malignant rhabdoid tumor of the kidney.

Malignant rhabdoid tumor of the kidney (MRTK) is a rare but highly aggressive tumor in children, and knowledge about the molecular signature of this tumor is limited. We report the molecular genetic alterations and gene expression profile of an MRTK tumor that arose in a 4-month-old Japanese girl. Fluorescence in situ hybridization and Southern blot analyses revealed a homozygous deletion of an approximately 0.29-Mb genomic region bordered by the Rgr and DDT genes in these tumor cells. This deleted region encodes SMARCB1, a candidate tumor suppressor gene for MRTK. Using a high-density oligonucleotide DNA array, we found increased expression of 25 genes, including genes involved in the cell cycle (10 genes), DNA replication (3 genes), cell growth (5 genes), and cell proliferation (5 genes), in this MRTK tumor sample, compared with a noncancerous kidney (NK) sample. On the other hand, 64 genes, including 4 genes regulating apoptosis, were found to show decreased expression in this MRTK tumor sample, compared with the NK sample. Among these alterations, we found alterations of expression of some genes, such as IGF2, MDK, TP53, and TNFSF10, in this MRTK tumor, as described previously. The molecular genetic alterations and altered pattern of gene expression found in this case may have contributed to the biological characteristics of the MRTK tumor that arose in our patient.

Apoptosis↗

Screening for control genes in rat global cerebral ischemia using high-density oligonucleotide array.

From conventional relative gene expression analyses (Northern blotting, in situ hybridization, and RT-PCR), it has been reported that the expression of control genes, such as glyceraldehyde-3-phosphate dehydrogenase (GAPDH) and beta-actin, used as references may be affected by ischemia. Therefore, we extended searching and evaluation at the mRNA level of transcripts whose expression levels were not changed by cerebral ischemia, using a high-density oligonucleotide array and statistical analysis in a rat global cerebral ischemia and reperfusion model. We added a hyperthermic factor and localization factor to ischemia and identified transcripts with a stable expression level under conditions even more disadvantageous than ischemia only. Screening of more than 8,000 transcripts with the Rat Genome U34A array yielded 28 transcripts, which we listed and classified according to their expression level. Widely used control genes, GAPDH and beta-actin, were not included, although cyclophilin A was included. In addition, we conducted a functional classification based on gene ontology. Under the functional classification of the 28 transcripts, many genes tended to be associated with metabolism. In conclusion, use of several transcripts is recommended, such as those we identified, as references in the analysis of gene expression in pathological models of ischemia.

Animals↗

Alteration of serum/glucocorticoid regulated kinase-1 (sgk-1) gene expression in rat hippocampus after transient global ischemia.

Expression of the serum/glucocorticoid regulated kinase-1 (sgk-1) gene has been reported to be induced by various stress stimuli such as hyper- or hypo-osmotic stress, UV irradiation, and heat shock stress; however, its association with global ischemia in the brain has not been studied. Using high-density oligonucleotide array analysis, we found that the sgk-1 gene was one of the genes showing alteration of expression in the rat hippocampus during 1-4 h of reperfusion after 10 min of transient global cerebral ischemia. Using TaqMan RT-PCR analysis, we confirmed an increased level of sgk-1 gene expression with statistical significance in the rat hippocampus at 2 h of reperfusion after 10 min of transient global cerebral ischemia. Using in situ hybridization (ISH) analysis, the increased level of sgk-1 gene expression was found to localize in pyramidal cells of CA2 and CA3 regions of the hippocampus after 2 h of reperfusion. These results provide an insight into the alterations of sgk-1 gene expression in the rat hippocampus after transient global cerebral ischemia.

Animals↗

Profiling of genes associated with transcriptional responses in mouse hippocampus after transient forebrain ischemia using high-density oligonucleotide DNA array.

Several cascades of changes in gene expression have been shown to be involved in the neuronal injury after transient cerebral ischemia; however, little is known about the profile of genes showing alteration of expression in a mouse model of transient forebrain ischemia. We analyzed the gene expression profile in the mouse hippocampus during 24 h of reperfusion, after 20 min of transient forebrain ischemia, using a high-density oligonucleotide DNA array. Using statistical filtration (Welch's ANOVA and Welch's t-test), we identified 25 genes with a more than 3.0-fold higher or lower level of expression on average, with statistical significance set at p<0.05, in at least one ischemia-reperfusion group than in the sham group. Using unsupervised clustering methods (hierarchical clustering and k-means clustering algorithms), we identified four types of gene expression pattern that may be associated with the response of cell populations in the hippocampus to an ischemic insult in this mouse model. Functional classification of the 25 genes demonstrated alterations of expression of several kinds of biological pathways, regulating transcription (Bhlhb2, Jun, c-fos, Egr1, Egr2, Fosb, Junb, Ifrd1, Neurod6), the cell cycle (c-fos, Fosb, Jun, Junb, Dusp1), stress response (Dusp1, Dnajb1, Dnaja4), chaperone activity (Dnajb1, Dnaja4) and cell death (Ptgs2, Gadd45g, Tdag51), in the mouse hippocampus by 24 h of reperfusion. Using hierarchical clustering analysis, we also found that the same 25 genes clearly discriminated between the sham group and the ischemia-reperfusion groups. The alteration of expression of 25 genes identified in this study suggests the involvement of these genes in the transcriptional response of cell populations in the mouse hippocampus after transient forebrain ischemia.

Analysis of Variance↗

Transcriptional profiling in hepatoblastomas using high-density oligonucleotide DNA array.

Hepatoblastoma is a common hepatic tumor in children. Although evidence regarding cytogenetic and molecular genetic alterations in hepatoblastomas has been reported, the molecular events affecting the biologic characteristics of this tumor, including alterations of the gene expression profile, are largely unknown. To identify genes differentially expressed between nondiseased liver (NDL) and hepatoblastoma tumor (HBT), we analyzed the gene expression profile in 14 NDL and 16 HBT samples using a high-density oligonucleotide DNA array. Using Mann-Whitney U test followed by the k-nearest neighbor algorithm, we identified 26 genes (predictor genes) that were able to assign unknown samples derived from NDL and HBT to either the NDL group or HBT group with 100% accuracy. Using a cross-validation approach, we confirmed that the k-nearest neighbor algorithm assigned the particular samples derived from NDL and HBT to either the NDL or HBT group with 93.3% (28/30 samples) accuracy. In the 26 predictor genes, we found alteration of the expression of genes regulating cell division (NAP1L1, STMN1, CCNG2, and CDC7L1) and tumor cell growth (IGF2 and IGFBP4) in HBT. Four predictor genes (ETV3, TPR, CD34, and NR1I3) were also found to be mapped to the chromosomal region 1q21 approximately q32, which has been reported to be frequently involved in the development of hepatoblastoma. The findings obtained in this study suggest that alteration of the expression of some genes regulating cell division and tumor cell growth may be characteristics of the gene expression profile in HBT, and that alteration of the expression of the four predictor genes mapped to chromosomal region 1q21 approximately q32 may also contribute to the differences in gene expression profile between NDL and HBT.

Child↗

Profiling of genes differentially expressed between fetal liver and postnatal liver using high-density oligonucleotide DNA array.

The liver is an essential organ in humans not only for the production and storage of energy but also for detoxification of chemical compounds, but knowledge about changes in the gene expression profile in the human liver during the prenatal and postnatal periods is limited. Profiling of genes differentially expressed between the fetal liver (FL) and the postnatal liver (PNL) is one of the methods to investigate candidates affecting the difference in biological characteristics between FL and PNL. To identify genes differentially expressed between FL and PNL (childhood and adult liver), we analyzed the gene expression profiles across 9 FL and 14 PNL samples using a high-density oligonucleotide DNA array. Using Mann-Whitney U test followed by k-nearest-neighbors (supervised learning method) and hierarchical clustering (unsupervised learning method) algorithms, we found 33 genes clearly discriminating between the FL group and PNL group. The functional classification of the 33 genes identified was related to several kinds of biological pathways, regulating the cell cycle (PCNA, CDC7L1, CCND3, YWHA1, PKMYT1), DNA replication and repair (RFC4, RECQ2, PCNA, NAP1L1), cell growth (IGF2, IGFBP2, PRSS11), hormonal signals (AR, SRD5A1, NR1I3), and cellular metabolism (E2-EPF, WWP1, CYP2C9, CYP2E1, CYP2A6, CYP2A7, CYP2A13, CYP4F2, CYP3A4, DDT). The results presented herein provide evidence of a differential expression profile of genes regulating the cell cycle, DNA replication and repair, cell growth, regulation of hormonal signals, and cellular metabolism, between FL and PNL in humans. The 33 genes identified in this study are suggested to be useful markers clearly discriminating between FL and PNL using the gene expression profile.

Adult↗