Biomedical subjects

Anne West

Publications and source records attributed to Anne West.

4 recordsLinked to original sources

PubMed2005

Differential regulation of c-jun and CREB by acrolein and 4-hydroxynonenal.

In Alzheimer's disease (AD), oxidative stress-induced lipid peroxidation leads to accumulation of unsaturated aldehydes including acrolein and 4-hydroxynonenal (4HNE) in brain. In this study, we examined the effects of these lipid peroxidation products on apoptotic pathways in cultured neurons. Acrolein and 4HNE increased the levels of active phosphorylated forms of c-jun and CREB, the transcription factors that promote apoptosis and cell survival, respectively. However, they decreased the activity of CREB-dependent BDNF promoter while they increased the activity of promoters responsive to c-jun. We hypothesized that this differential regulation could be due to competition between proapoptotic c-jun and cytoprotective CREB for CBP (CREB-binding protein), a coactivator shared by several transcription factors. In support of this hypothesis, we demonstrate that the decrease of BDNF promoter activity by acrolein and 4HNE could be restored (i) by cotransfection with CBP, (ii) by cotransfection with VP 16-CREB, a constitutively active form of CREB that does not depend on CBP for its activation, or (iii) by inhibiting JNK-mediated c-jun activation. Finally, adenoviral transduction of hippocampal neurons with VP 16-CREB resulted in significant reduction in caspase-3 activation by acrolein and 4HNE. These observations suggest that lipid peroxidation-induced differential regulation of CREB and c-jun might play a role in neurodegeneration in AD.

Acrolein↗

PubMed2005

Difference in gene expression between human fetal liver and adult bone marrow mesenchymal stem cells.

BACKGROUND AND OBJECTIVES: Mesenchymal stem cells (MSC) are progenitor cells that are capable of differentiating into mesenchymal tissues. Fetal and adult MSC have similar morphology but differ in proliferative, differentiating and immunosuppressive properties. Further exploring their differences could help in choosing the right source for cellular therapy. DESIGN AND METHODS: The gene expression profiles of undifferentiated MSC derived from first trimester fetal liver and adult bone marrow were compared by serial analysis of gene expression, and validated by either reverse transcription polymerase chain reaction or immunoblotting of selected genes. The immunophenotype was compared by flow cytometry and cell ELISA. RESULTS: Seventy genes were differentially induced two-fold or more in fetal MSC compared to adult MSC. These involved transcripts regulating germ plasm and limb patterning, brain and early muscle development. Transcripts implicated in cell cycle promotion, chromatin regulation and DNA repair were also more abundant in fetal MSC. Ninety-seven genes were decreased two-fold or more in fetal MSC, including transcripts involved in smooth muscle and keratinocyte differentiation and transcripts for immunological genes. Although phenotypically largely similar, fetal MSC had a higher expression of ICAM1 and contained intracellular deposits of HLA-G while expression of HLA class I and II molecules and VCAM1 was increased in adult MSC. INTERPRETATION AND CONCLUSIONS: This study reports the first extensive investigation of the differences in gene expression profiles between fetal and adult MSC. The results suggest that fetal MSC have higher proliferative capacity and are less lineage committed than adult MSC.

Adult↗

PubMed2004

Autoimmune regulator induced changes in the gene expression profile of human monocyte-dendritic cell-lineage.

The autoimmune regulator (AIRE) is a transcriptional regulator expressed in the thymic medullary epithelial cells and in the cells of the monocyte-dendritic lineage both in the thymus and in the secondary lymphoid organs. Mutations in the AIRE gene cause autoimmune polyendocrinopathy candidiasis ectodermal dystrophy (APECED), a recessively inherited disease characterized by loss of immunological self-tolerance to multiple endocrine organs. Recent mouse knockout studies suggest that AIRE is responsible for ectopic expression of peripheral self-antigens in the thymus. In the present study, we detected an increased level of endogenous AIRE expression during the differentiation process of the human monocyte derived dendritic cells (MoDCs). We subsequently identified candidates for AIRE-regulated genes by using cDNA microarray technology to analyse the changes in the gene expression profile brought about by overexpressing the AIRE protein in the monocytic U937 cells. The changes observed resembled those previously reported to occur during the maturation of DCs, including up-regulation of the CCL22, CD25, ICAM-1 and RelB genes. In contrast, increased expression of the steroidogenic enzymes P450c17, P450c21 and P450scc, the major autoantigens in APECED, was not found either in our cell model or in the dendritic cell cultures. We also identified the ERK signal transduction pathway as a candidate for mediating the signal that results in the altered expression profile. Our findings suggest that the role of AIRE in the DCs differs from its function in the thymus.

Cell Differentiation↗

PubMed2003

Computational strategies for analyzing data in gene expression microarray experiments.

Microarray analysis has become a widely used method for generating gene expression data on a genomic scale. Microarrays have been enthusiastically applied in many fields of biological research, even though several open questions remain about the analysis of such data. A wide range of approaches are available for computational analysis, but no general consensus exists as to standard for microarray data analysis protocol. Consequently, the choice of data analysis technique is a crucial element depending both on the data and on the goals of the experiment. Therefore, basic understanding of bioinformatics is required for optimal experimental design and meaningful interpretation of the results. This review summarizes some of the common themes in DNA microarray data analysis, including data normalization and detection of differential expression. Algorithms are demonstrated by analyzing cDNA microarray data from an experiment monitoring gene expression in T helper cells. Several computational biology strategies, along with their relative merits, are overviewed and potential areas for additional research discussed. The goal of the review is to provide a computational framework for applying and evaluating such bioinformatics strategies. Solid knowledge of microarray informatics contributes to the implementation of more efficient computational protocols for the given data obtained through microarray experiments.

Algorithms↗