Biomedical subjects

Jean J Léger

Publications and source records attributed to Jean J Léger.

8 recordsLinked to original sources

PubMed2006

Expression profiling of Chondrus crispus (Rhodophyta) after exposure to methyl jasmonate.

Methyl jasmonate (MeJA) is a plant hormone important for the mediation of signals for developmental processes and defence reactions in higher plants. The effects of MeJA and the signalling pathways on other photosynthetic organism groups are largely unknown, even though MeJA may have very important roles. Therefore the effects of MeJA in a red alga were studied. A medium-scale expression profiling approach to identify genes regulated by MeJA in the red seaweed Chondrus crispus is described here. The expression profiles were studied 0, 2, 4, 6, 12, and 24 h after the addition of MeJA to the seawater surrounding the algae. The changes in the transcriptome were monitored using cDNA microarrays with 1920 different cDNA representing 1295 unique genes. The responses of selected genes were verified with real-time PCR and the correlation between the two methods was generally satisfying. The study showed that 6% of genes studied showed a response to the addition of MeJA and the most dynamic response was seen after 6 h. Genes that showed up-regulation included several glutathione S-transferases, heat shock protein 20, a xenobiotic reductase, and phycocyanin lyase. Down-regulated transcripts included glucose kinase, phosphoglucose isomerase, and a ribosomal protein. A comparison between different functional groups showed an up-regulation of stress-related genes and a down-regulation of genes involved in energy conversion and general metabolism. It is concluded that MeJA, or a related compound, has a physiological role as a stress hormone in red algae. This study represents to our knowledge the first analysis of gene expression using cDNA microarrays in a red macroalga.

Acetates↗

PubMed2005

Hepatocyte iron loading capacity is associated with differentiation and repression of motility in the HepaRG cell line.

High liver iron content is a risk factor for developing hepatocellular carcinoma (HCC). However, HCC cells are always iron-poor. Therefore, an association between hepatocyte iron storage capacity and differentiation is suggested. To characterize biological processes involved in iron loading capacity, we used a cDNA microarray to study the differentiation of the human HepaRG cell line, from undifferentiated proliferative cells to hepatocyte differentiated cells. We were able to identify genes modulated along HepaRG differentiation, leading us to propose new genes not previously associated with HCC. Moreover, using Gene Ontology annotations, we demonstrated that HepaRG hepatocyte iron loading capacity occurred both with the repression of genes involved in cell motility, signal transduction, and biosynthesis and with the appearance of genes linked to lipid metabolism and immune response. These results provide new insights in the understanding of the relationship between iron and hepatocyte differentiation during iron-related hepatic diseases.

Carcinoma, Hepatocellular↗

PubMed2005

Gene expression profile associated with chronic atrial fibrillation and underlying valvular heart disease in man.

Atrial fibrillation (AF) is the most common sustained cardiac arrhythmia in humans. The pathophysiology of AF involves electrical, structural and contractile remodeling, which is associated with changes in cardiac gene expression. Previous studies of gene-expression changes in clinical AF have mostly been limited to a small number of candidate genes and have not all been well controlled for underlying heart disease. The present study assessed AF-related gene-expression changes in valve-disease patients with microarrays representing the cardiac transcriptome. Right atrial appendages from 11 patients with chronic AF and underlying valvular heart disease (AF-VHD) and seven patients in sinus rhythm with VHD (SR-VHD) were individually compared to an age-matched sinus-rhythm control group (SR-CTRL, 11 patients) using cardiac-specific microarray analysis. One-class statistical analysis was used to identify genes differentially expressed between SR-VHD and SR-CTRL patients. Two-class statistical analysis was used to identify genes differentially expressed between AF-VHD and SR-VHD patients. Out of 3863 analyzed genes, 832 genes were differentially expressed between SR-VHD and SR-CTRL patients, and 169 genes were differentially expressed between AF-VHD and SR-VHD patients. Striking AF-related changes included altered expression of nine genes pointing towards the development of fibrosis (e.g. upregulation of transforming growth factor beta1), and changes in eight genes potentially related to an increased risk of thromboembolic events (e.g. upregulation of alpha2 macroglobulin). Microarray results were confirmed by quantitative PCR. Our results suggest that AF produces a characteristic profile of gene-expression changes that may be related to the pathophysiology of the arrhythmia.

Aged↗

PubMed2005

Distinct molecular portraits of human failing hearts identified by dedicated cDNA microarrays.

AIMS: This study aimed to investigate whether a molecular profiling approach should be pursued for the classification of heart failure patients. METHODS AND RESULTS: Applying a subtraction strategy we created a cDNA library consisting of cardiac- and heart failure-relevant clones that were used to construct dedicated cDNA microarrays. We measured relative expression levels of the corresponding genes in left ventricle tissue from 17 patients (15 failing hearts and 2 nonfailing hearts). Significance analysis of microarrays was used to select 159 genes that distinguished between all patients. Two-way hierarchical clustering of the 17 patients and the 159 selected genes led to the identification of three major subgroups of patients, each with a specific molecular portrait. The two nonfailing hearts clustered closely together. Interestingly, our classification of patients based on their molecular portraits did not correspond to an identified etiological classification. Remarkably, patients with the highest medical urgency status (United Network for Organ Sharing, Status 1A) clustered together. CONCLUSION: With this pilot feasibility study we demonstrated a novel classification of end-stage heart failure patients, which encourages further development of this approach in prospective studies on heart failure patients at earlier stages of the disease.

Adolescent↗

PubMed2005

Gene expression profiling in human cardiovascular disease.

Gene expression profiling studies in human diseases have allowed better understanding of pathophysiological processes. In addition, they may lead to the development of new clinical tools to improve diagnosis and prognosis of patients. Most of these studies have been successfully performed for human cancers. Inspired by these results, researchers in the cardiovascular field have also started using large-scale transcriptional analysis to better understand and classify human cardiovascular disease. Here we provide an overview of the literature revealing new cardiac disease markers and encouraging results for further development of the expression profiling strategy for future clinical applications in cardiology.

Calcium Signaling↗

PubMed2004

Long-term amiodarone administration remodels expression of ion channel transcripts in the mouse heart.

BACKGROUND: The basis for the unique effectiveness of long-term amiodarone treatment on cardiac arrhythmias is incompletely understood. The present study investigated the pharmacogenomic profile of amiodarone on genes encoding ion-channel subunits. METHODS AND RESULTS: Adult male mice were treated for 6 weeks with vehicle or oral amiodarone at 30, 90, or 180 mg x kg(-1) x d(-1). Plasma and myocardial levels of amiodarone and N-desethylamiodarone increased dose-dependently, reaching therapeutic ranges observed in human. Plasma triiodothyronine levels decreased, whereas reverse triiodothyronine levels increased in amiodarone-treated animals. In ECG recordings, amiodarone dose-dependently prolonged the RR, PR, QRS, and corrected QT intervals. Specific microarrays containing probes for the complete ion-channel repertoire (IonChips) and real-time reverse transcription-polymerase chain reaction experiments demonstrated that amiodarone induced a dose-dependent remodeling in multiple ion-channel subunits. Genes encoding Na+ (SCN4A, SCN5A, SCN1B), connexin (GJA1), Ca2+ (CaCNA1C), and K+ channels (KCNA5, KCNB1, KCND2) were downregulated. In patch-clamp experiments, lower expression of K+ and Na+ channel genes was associated with decreased I(to,f), I(K,slow), and I(Na) currents. Inversely, other K+ channel alpha- and beta-subunits, such as KCNA4, KCNK1, KCNAB1, and KCNE3, were upregulated. CONCLUSIONS: Long-term amiodarone treatment induces a dose-dependent remodeling of ion-channel expression that is correlated with the cardiac electrophysiologic effects of the drug. This profile cannot be attributed solely to the amiodarone-induced cardiac hypothyroidism syndrome. Thus, in addition to the direct effect of the drug on membrane proteins, part of the therapeutic action of long-term amiodarone treatment is likely related to its effect on ion-channel transcripts.

Amiodarone↗

PubMed2004

A dynamic, web-accessible resource to process raw microarray scan data into consolidated gene expression values: importance of replication.

We propose a freely accessible web-based pipeline, which processes raw microarray scan data to obtain experimentally consolidated gene expression values. The tool MADSCAN, which stands for MicroArray Data Suites of Computed ANalysis, makes a practical choice among the numerous methods available for filtering, normalizing and scaling of raw microarray expression data in a dynamic and automatic way. Different statistical methods have been adapted to extract reliable information from replicate gene spots as well as from replicate microarrays for each biological situation under study. A carefully constructed experimental design thus allows to detect outlying expression values and to identify statistically significant expression values, together with a list of quality controls with proposed threshold values. The integrated processing procedure described here, based on multiple measurements per gene, is decisive for reliably monitoring subtle gene expression changes typical for most biological events.

Data Interpretation, Statistical↗

PubMed2003

Microarray analysis reveals complex remodeling of cardiac ion channel expression with altered thyroid status: relation to cellular and integrated electrophysiology.

Although electrophysiological remodeling occurs in various myocardial diseases, the underlying molecular mechanisms are poorly understood. cDNA microarrays containing probes for a large population of mouse genes encoding ion channel subunits ("IonChips") were developed and exploited to investigate remodeling of ion channel transcripts associated with altered thyroid status in adult mouse ventricle. Functional consequences of hypo- and hyperthyroidism were evaluated with patch-clamp and ECG recordings. Hypothyroidism decreased heart rate and prolonged QTc duration. Opposite changes were observed in hyperthyroidism. Microarray analysis revealed that hypothyroidism induces significant reductions in KCNA5, KCNB1, KCND2, and KCNK2 transcripts, whereas KCNQ1 and KCNE1 expression is increased. In hyperthyroidism, in contrast, KCNA5 and KCNB1 expression is increased and KCNQ1 and KCNE1 expression is decreased. Real-time RT-PCR validated these results. Consistent with microarray analysis, Western blot experiments confirmed those modifications at the protein level. Patch-clamp recordings revealed significant reductions in I(to,f) and I(K,slow) densities, and increased I(Ks) density in hypothyroid myocytes. In addition to effects on K+ channel transcripts, transcripts for the pacemaker channel HCN2 were decreased and those encoding the alpha1C Ca2+ channel (CaCNA1C) were increased in hypothyroid animals. The expression of Na+, Cl-, and inwardly rectifying K+ channel subunits, in contrast, were unaffected by thyroid hormone status. Taken together, these data demonstrate that thyroid hormone levels selectively and differentially regulate transcript expression for at least nine ion channel alpha- and beta-subunits. Our results also document the potential of cDNA microarray analysis for the simultaneous examination of ion channel transcript expression levels in the diseased/remodeled myocardium.

Animals↗