The Experts below are selected from a list of 195771 Experts worldwide ranked by ideXlab platform

Masaya Yamaoka - One of the best experts on this subject based on the ideXlab platform.

  • Impact of visceral fat on Gene Expression Profile in peripheral blood cells in obese Japanese subjects.
    Cardiovascular diabetology, 2016
    Co-Authors: Yoshinari Obata, Norikazu Maeda, Yuya Yamada, Koji Yamamoto, Seiji Nakamura, Masaya Yamaoka, Yoshimitsu Tanaka, Shigeki Masuda, Hirofumi Nagao, Shiro Fukuda
    Abstract:

    Background Visceral fat plays a central role in the development of metabolic syndrome and atherosclerotic cardiovascular diseases. The association of visceral fat accumulation with cardio-metabolic diseases has been reported, but the impact of visceral fat on the Gene Expression Profile in peripheral blood cells remains to be determined. The aim of this study was to determine the effects of visceral fat area (VFA) and subcutaneous fat area (SFA) on the Gene Expression Profile in peripheral blood cells of obese subjects.

  • A Pilot Investigation of Visceral Fat Adiposity and Gene Expression Profile in Peripheral Blood Cells
    PloS one, 2012
    Co-Authors: Masaya Yamaoka, Norikazu Maeda, Seiji Nakamura, Susumu Kashine, Yasuhiko Nakagawa, Aki Hiuge-shimizu, Kohei Okita, Akihisa Imagawa, Yuji Matsuzawa, Kenichi Matsubara
    Abstract:

    Evidence suggests that visceral fat accumulation plays a central role in the development of metabolic syndrome. Excess visceral fat causes local chronic low-grade inflammation and dysregulation of adipocytokines, which contribute in the pathoGenesis of the metabolic syndrome. These changes may affect the Gene Expression in peripheral blood cells. This study for the first time examined the association between visceral fat adiposity and Gene Expression Profile in peripheral blood cells. The Gene Expression Profile was analyzed in peripheral blood cells from 28 obese subjects by microarray analysis. Reverse transcription-polymerase chain reaction (RT-PCR) was performed using peripheral blood cells from 57 obese subjects. Obesity was defined as body mass index (BMI) greater than 25 kg/m2 according to the Japanese criteria, and the estimated visceral fat area (eVFA) was measured by abdominal bioelectrical impedance. Analysis of Gene Expression Profile was carried out with Agilent whole human genome 4×44 K oligo-DNA microarray. The Expression of several Genes related to circadian rhythm, inflammation, and oxidative stress correlated significantly with visceral fat accumulation. Period homolog 1 (PER1) mRNA level in blood cells correlated negatively with visceral fat adiposity. Stepwise multiple regression analysis identified eVFA as a significant determinant of PER1 Expression. In conclusion, visceral fat adiposity correlated with the Expression of Genes related to circadian rhythm and inflammation in peripheral blood cells.

Li Ding - One of the best experts on this subject based on the ideXlab platform.

  • Gene Expression Profile analysis of SUDHL6 cells with siRNA-mediated BCL11A downregulation
    Cell biology international, 2014
    Co-Authors: Yangjun Gao, Li Ding
    Abstract:

    Our previous study has shown that downregulation of B-cell chronic lymphocytic leukemia (CLL)/lymphoma11A (BCL11A) Gene by small interfering RNA (siRNA) resulted in the growth inhibition and apoptosis of B cell lymphoma cell line SUDHL6. To gain further insight into the molecular mechanisms of this process and identify the differentially expressed Genes in SUDHL6 cells after BCL11A downregulation, the global Gene Expression Profile was identified and analyzed using the Affymetrix HG-U133 Plus 2.0 array. Twenty-one differentially expressed Genes were validated and analyzed from the BCL11A siRNA-treated SUDHL6 cells. There was a significant dysregulation in the global Gene Expression of the BCL11A-suppressed SUDHL6 cells. There were 1903 Genes differentially expressed with >2-fold changes between the BCL11A siRNA- and negative control-transfected cells. Of these, there were 916 upregulated Genes and 987 downregulated Genes. The differential Genes are involved in various molecular functions and signaling pathways. QRT-PCR validation of the selected differentially expressed Genes demonstrated there was a good correlation with the microarray analysis. There was a significant deregulation of Expression in the apoptosis-related Genes such as BCL-2, BCL2L11 and involved in TGFβ, MAPK, WNT signaling pathways after BCL11A was downregulated in SUDHL6 cells. Our results show that the suppression of BCL11A by RNA interference altered Gene Expression Profile of SUDHL6 cells. The apoptosis-related Genes BCL-2, BCL2L11 and the Gene alterations in TGFβ, MAPK, WNT signaling pathways might be important in BCL11A siRNA-induced apoptosis of SUDHL6 cells, suggesting BCL11A is involved in Gene networks associated with apoptosis.

Alison E Baird - One of the best experts on this subject based on the ideXlab platform.

Kenichi Matsubara - One of the best experts on this subject based on the ideXlab platform.

  • A Pilot Investigation of Visceral Fat Adiposity and Gene Expression Profile in Peripheral Blood Cells
    PloS one, 2012
    Co-Authors: Masaya Yamaoka, Norikazu Maeda, Seiji Nakamura, Susumu Kashine, Yasuhiko Nakagawa, Aki Hiuge-shimizu, Kohei Okita, Akihisa Imagawa, Yuji Matsuzawa, Kenichi Matsubara
    Abstract:

    Evidence suggests that visceral fat accumulation plays a central role in the development of metabolic syndrome. Excess visceral fat causes local chronic low-grade inflammation and dysregulation of adipocytokines, which contribute in the pathoGenesis of the metabolic syndrome. These changes may affect the Gene Expression in peripheral blood cells. This study for the first time examined the association between visceral fat adiposity and Gene Expression Profile in peripheral blood cells. The Gene Expression Profile was analyzed in peripheral blood cells from 28 obese subjects by microarray analysis. Reverse transcription-polymerase chain reaction (RT-PCR) was performed using peripheral blood cells from 57 obese subjects. Obesity was defined as body mass index (BMI) greater than 25 kg/m2 according to the Japanese criteria, and the estimated visceral fat area (eVFA) was measured by abdominal bioelectrical impedance. Analysis of Gene Expression Profile was carried out with Agilent whole human genome 4×44 K oligo-DNA microarray. The Expression of several Genes related to circadian rhythm, inflammation, and oxidative stress correlated significantly with visceral fat accumulation. Period homolog 1 (PER1) mRNA level in blood cells correlated negatively with visceral fat adiposity. Stepwise multiple regression analysis identified eVFA as a significant determinant of PER1 Expression. In conclusion, visceral fat adiposity correlated with the Expression of Genes related to circadian rhythm and inflammation in peripheral blood cells.

  • a bayesian missing value estimation method for Gene Expression Profile data
    Bioinformatics, 2003
    Co-Authors: Masaaki Sato, Kenichi Matsubara, Ichiro Takemasa, Morito Monden, Shin Ishii
    Abstract:

    Motivation: Gene Expression Profile analyses have been used in numerous studies covering a broad range of areas in biology. When unreliable measurements are excluded, missing values are introduced in Gene Expression Profiles. Although existing multivariate analysis methods have difficulty with the treatment of missing values, this problem has received little attention. There are many options for dealing with missing values, each of which reaches drastically different results. Ignoring missing values is the simplest method and is frequently applied. This approach, however, has its flaws. In this article, we propose an estimation method for missing values, which is based on Bayesian principal component analysis (BPCA). Although the methodology that a probabilistic model and latent variables are estimated simultaneously within the framework of Bayes inference is not new in principle, actual BPCA implementation that makes it possible to estimate arbitrary missing variables is new in terms of statistical methodology. Results: When applied to DNA microarray data from various experimental conditions, the BPCA method exhibited markedly better estimation ability than other recently proposed methods, such as singular value decomposition and K -nearest neighbors. While the estimation performance of existing methods depends on model parameters whose determination is difficult, our BPCA method is free from this difficulty. Accordingly, the BPCA method provides accurate and convenient estimation for missing values. Availability: The software is available at http://hawaii.aist

Seiji Nakamura - One of the best experts on this subject based on the ideXlab platform.

  • Impact of visceral fat on Gene Expression Profile in peripheral blood cells in obese Japanese subjects.
    Cardiovascular diabetology, 2016
    Co-Authors: Yoshinari Obata, Norikazu Maeda, Yuya Yamada, Koji Yamamoto, Seiji Nakamura, Masaya Yamaoka, Yoshimitsu Tanaka, Shigeki Masuda, Hirofumi Nagao, Shiro Fukuda
    Abstract:

    Background Visceral fat plays a central role in the development of metabolic syndrome and atherosclerotic cardiovascular diseases. The association of visceral fat accumulation with cardio-metabolic diseases has been reported, but the impact of visceral fat on the Gene Expression Profile in peripheral blood cells remains to be determined. The aim of this study was to determine the effects of visceral fat area (VFA) and subcutaneous fat area (SFA) on the Gene Expression Profile in peripheral blood cells of obese subjects.

  • A Pilot Investigation of Visceral Fat Adiposity and Gene Expression Profile in Peripheral Blood Cells
    PloS one, 2012
    Co-Authors: Masaya Yamaoka, Norikazu Maeda, Seiji Nakamura, Susumu Kashine, Yasuhiko Nakagawa, Aki Hiuge-shimizu, Kohei Okita, Akihisa Imagawa, Yuji Matsuzawa, Kenichi Matsubara
    Abstract:

    Evidence suggests that visceral fat accumulation plays a central role in the development of metabolic syndrome. Excess visceral fat causes local chronic low-grade inflammation and dysregulation of adipocytokines, which contribute in the pathoGenesis of the metabolic syndrome. These changes may affect the Gene Expression in peripheral blood cells. This study for the first time examined the association between visceral fat adiposity and Gene Expression Profile in peripheral blood cells. The Gene Expression Profile was analyzed in peripheral blood cells from 28 obese subjects by microarray analysis. Reverse transcription-polymerase chain reaction (RT-PCR) was performed using peripheral blood cells from 57 obese subjects. Obesity was defined as body mass index (BMI) greater than 25 kg/m2 according to the Japanese criteria, and the estimated visceral fat area (eVFA) was measured by abdominal bioelectrical impedance. Analysis of Gene Expression Profile was carried out with Agilent whole human genome 4×44 K oligo-DNA microarray. The Expression of several Genes related to circadian rhythm, inflammation, and oxidative stress correlated significantly with visceral fat accumulation. Period homolog 1 (PER1) mRNA level in blood cells correlated negatively with visceral fat adiposity. Stepwise multiple regression analysis identified eVFA as a significant determinant of PER1 Expression. In conclusion, visceral fat adiposity correlated with the Expression of Genes related to circadian rhythm and inflammation in peripheral blood cells.