Transcriptome analysis of muscle in horses suffering from recurrent exertional rhabdomyolysis revealed energetic pathway alterations and disruption in the cytosolic calcium regulation.

Recurrent exertional rhabdomyolysis (RER) is frequently observed in race horses like trotters. Some predisposing genetic factors have been described in epidemiological studies. However, the exact aetiology is still unknown. A calcium homeostasis disruption was suspected in previous experimental studies, and we suggested that a transcriptome analysis of RER muscles would be a possible way to investigate the pathway disorder. The purpose of this study was to compare the gene expression profile of RER vs. control muscles in the French Trotter to determine any metabolic or structural disruption. Total RNA was extracted from the gluteal medius and longissimus lumborum muscles after biopsies in 15 French Trotter horses, including 10 controls and 5 RER horses affected by 'tying-up' with high plasmatic muscular enzyme activities. Gene expression analysis was performed on the muscle biopsies using a 25K oligonucleotide microarray, which consisted of 24,009 mouse and 384 horse probes. Transcriptome analysis revealed 191 genes significantly modulated in RER vs. control muscles (P < 0.05). Many genes involved in fatty acid oxidation (CD36/FAT, SLC25A17), the Krebs cycle (SLC25A11, SLC25A12, MDH2) and the mitochondrial respiratory chain were severely down-regulated (tRNA, MT-ND5, MT-ND6, MT-COX1). According to the down-regulation of RYR1, SLC8A1 and UCP2 and up-regulation of APP and HSPA5, the muscle fibre calcium homeostasis seemed to be greatly affected by an increased cytosolic calcium and a depletion of the sarcoplasmic reticulum calcium. Gene expression analysis suggested an alteration of ATP synthesis, with severe mitochondrial dysfunction that could explain the disruption of cytosolic calcium homeostasis and inhibition of muscular relaxation.

DNA microarray allows molecular profiling of rheumatoid arthritis and identification of pathophysiological targets.

This study was undertaken to evaluate the possibility to obtain a molecular signature of rheumatoid arthritis (RA) comparatively osteoarthritis (OA), and to lay the bases to develop new diagnostic tools and identify new targets. Microarray technology was used for such an analysis. The gene expression profiles of synovial tissues from patients with confirmed RA, and patients with OA were established and compared. A set of 63 genes was selected, based, more specifically, on their overexpression or underexpression in RA samples compared to OA. Results for six of these genes have been verified by quantitative PCR using both samples identical to those used in the microarray experiments and entirely separate samples. Expression profile of the 48 known genes allowed the correct classification of additional RA and OA patients. Furthermore, the distinct expression of three of the selected genes was also studied by quantitative RT-PCR in cultured synovial cells. Detailed analysis of the expression profile of the selected genes provided evidence for dysregulated biological pathways, pointed out to chromosomal location and revealed novel genes potentially involved in RA. It is proposed that such an approach allows valuable diagnosis/prognostics tools in RA to be established and potential targets for combating the disease to be identified.

Automatic quantitation of hybridization signals on cDNA arrays.

Large-scale hybridization of simple or complex cDNA probes to cDNA clones arrayed on high-density filters is a method frequently used to determine systematically the expression profiles of thousands of genes. Hybridization signal intensities, which reflect the level of transcription of the corresponding genes, are captured on phosphor screens with an imaging system. We describe a high-throughput system, Xdots-Reader, that performs automatic detection and quantitation of each signal on hundreds of images. Reproducibility of spot detection and quantitation within filters and between filters has been assessed in analysis of more than 850000 hybridization signals on 436 filters. The automatic analysis success was greater than 97%, with 424 of the 436 tested filters fully analyzed without any human intervention. XdotsReader is available from the Software Library at www.BioTechniques.com or at http://www. ami. univ-evry. fr/approximately tahi/XDotsReader. It runs on SUN workstations under UNIX (SunOS or Solaris) and on PC under LINUX. No particular hardware is required, and the software is compatible with any other software. It supports the main standard image formats.

A diagnostic fluorescent marker kit for six limb girdle muscular dystrophies.

The autosomal progressive muscular dystrophies which are grouped together under the term limb girdle muscular dystrophies (LGMD) are diseases characterized by a progressive impairment of the proximal limb muscles and myopathic changes on electromyogram and muscle biopsy. Eight independent purely recessive genetic entities have been recognized in this group of diseases by genetic localization or causative gene identification. We have developed fluorescent genetic markers bracketing six of these loci (LGMD2A-LGMD2F). The marker loci were genotyped in 96 LGMD2 families leading to genetic definition of 25 of them either with a high likelihood or with a suggested localization (7 LGMD2A, 5 LGMD2B, 4 LGMD2C, 4 LGMD2D, 2 LGMD2E and 3 LGMD2F). In addition, 18 families were excluded for all six tested loci; for 45 of the 53 remaining families at least one exclusion could be demonstrated. This kit, which makes the rapid genetic testing of LGMD2 families possible, may be useful in a diagnostic process.

New susceptibility locus for rheumatoid arthritis suggested by a genome-wide linkage study.

Rheumatoid arthritis (RA), the most common autoimmune disease, is associated in families with other autoimmune diseases, including insulin-dependent diabetes mellitus (IDDM). Its genetic component has been suggested by familial aggregation (lambdas = 5), twin studies, and segregation analysis. HLA, which is the only susceptibility locus known, has been estimated to account for one-third of this component. The aim of this paper was to identify new RA loci. A genome scan was performed with 114 European Caucasian RA sib pairs from 97 nuclear families. Linkage was significant only for HLA (P < 2.5.10(-5)) and nominal for 19 markers in 14 other regions (P < 0.05). Four of the loci implicated in IDDM potentially overlap with these regions: the putative IDDM6, IDDM9, IDDM13, and DXS998 loci. The first two of these candidate regions, defined in the RA genome scan by the markers D18S68-D18S61-D18S469 (18q22-23) and D3S1267 (3q13), respectively, were studied in 194 additional RA sib pairs from 164 nuclear families. Support for linkage to chromosome 3 only was extended significantly (P = 0.002). The analysis of all 261 families provided a linkage evidence of P = 0. 001 and suggested an interaction between this putative RA locus and HLA. This locus could account for 16% of the genetic component of RA. Candidate genes include those coding for CD80 and CD86, molecules involved in antigen-specific T cell recognition. In conclusion, this first genome scan in RA Caucasian families revealed 14 candidate regions, one of which was supported further by the study of a second set of families.

European Gene Mapping Project (EUROGEM): breakpoint panels for human chromosomes based on the CEPH reference families. Centre d'Etude du Polymorphisme Humain.

Meiotic breakpoint panels for human chromosomes 2, 3, 4, 5, 6, 7, 8, 9, 10, 13, 14, 15, 17, 18, 20 and X were constructed from genotypes from the CEPH reference families. Each recombinant chromosome included has a breakpoint well-supported with reference to defined quantitative criteria. The panels were constructed at both a low-resolution, useful for a first-pass localization, and high-resolution, for a more precise placement. The availability of such panels will reduce the number of genotyping experiments necessary to order new polymorphisms with respect to existing genetic markers. This paper shows only a representative sample of the breakpoints detected. The complete data are available on the World Wide Web (URL http:/(/)www.icnet.uk/axp/hgr/eurogem++ +/HTML/data.html) or by anonymous ftp (ftp.gene.ucl.ac.uk in/pub/eurogem/maps/breakpoints).

Novel gene transcripts preferentially expressed in human muscles revealed by quantitative hybridization of a high density cDNA array.

A set of 1091 human skeletal muscle cDNA clone inserts representing more than 800 human gene transcripts were spotted as PCR products at high density on nylon membranes. Replicas of the filters were hybridized in stringent conditions with 33P-radiolabeled cDNA probes transcribed from skeletal muscle poly(A)+ RNA. Hybridization signals were collected on phosphor screens and processed using a software specifically adapted for this application to identify and quantitate each spot. Parameters likely to influence the hybridization signal intensity were assessed to eliminate artifacts. Each clone was assigned to one of four intensity classes reflecting the steady-state level of transcription of the corresponding gene in skeletal muscle. Differential expression of specific gene transcripts was detected using complex cDNA probes derived from nine different tissues, allowing assessment of their tissue specificity. This made it possible to identify 48 novel gene transcripts (including 7 homologous or related to known sequences) with a muscle-restricted pattern of expression. These results were validated through the analysis of known muscle-specific transcripts and by Northern analysis of a subset of the novel gene transcripts. All these genes have been registered in the Genexpress Index, such that sequence, map, and expression data can be used to decipher their role in the physiology and pathology of human muscles.