Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Microgenomic Analysis in Skeletal Muscle: Expression Signatures of Individual Fast and Slow Myofibers

ABSTRACT: Background: skeletal muscle is a complex, versatile tissue composed of a variety of functionally diverse fiber types. Although the biochemical, structural and functional properties of myofibers have been the subject of intense investigation for the last decades, understanding molecular processes regulating fiber type diversity is still complicated by the heterogeneity of cell types present in the whole muscle organ. Methodology/Principal Findings: we have produced a first catalogue of genes expressed in mouse slow-oxidative (type 1) and fast-glycolytic (type 2B) fibers through transcriptome analysis at the single fiber level (microgenomics). Individual fibers were obtained from murine soleus and EDL muscles and initially classified by myosin heavy chain isoform content. Gene expression profiling on high density DNA oligonucleotide microarrays showed that both qualitative and quantitative improvements were achieved, compared to results with standard muscle homogenate. First, myofiber profiles were virtually free from non-muscle transcriptional activity. Second, thousands of muscle-specific genes were identified, leading to a better definition of gene signatures in the two fiber types as well as the detection of metabolic and signaling pathways that are differentially activated in specific fiber types. Several regulatory proteins showed preferential expression in slow myofibers. Discriminant analysis revealed novel genes that could be useful for fiber type functional classification. Conclusions/Significance: as gene expression analyses at the single fiber level significantly increased the resolution power, this innovative approach would allow a better understanding of the adaptive transcriptomic transitions occurring in myofibers under physiological and pathological conditions. EDL and soleus muscles were incubated with type I collagenase to dissociate intact myofibres that were separated under stereo microscope from the bulk of hyper contracted fibres. Isolated myofibres were divided in two parts: one was immersed in Laemmli buffer for fibre typing; the other was placed in RNA extraction buffer for RNA amplification. We analyzed the transcription profiles of 10 biological replicas of type 2B single muscle fibres from EDL and 10 biological replicas of type 1 single muscle fibres from soleus. Microarray competitive hybridizations were carried out against an artificial control with a balanced composition of type 1 and type 2B fibres (20 hybridizations). Each oligonucleotide is spotted in two replicates on the glass slide, so for every data two intra-slide replicas are present. The control was created as follows: three couples of soleus and EDL muscles were removed from 3 different mice and treated with collagenase. Total RNA was extracted separately from EDL and soleus muscles. By mixing about 1/3 RNA from EDL and 2/3 RNA from soleus muscles the control had approximately the same contributions of type 1 and type 2B fibres. Purified RNA samples from single fibres and from control were amplified twice using the Amino Allyl MessageAmpM-bM-^DM-" II aRNA Amplification Kit (Ambion).

ORGANISM(S): Mus musculus

SUBMITTER: Gerolamo Lanfranchi

PROVIDER: E-GEOD-23244 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Publications

Microgenomic analysis in skeletal muscle: expression signatures of individual fast and slow myofibers.

Chemello Francesco F Bean Camilla C Cancellara Pasqua P Laveder Paolo P Reggiani Carlo C Lanfranchi Gerolamo G

PloS one 20110222 2

<h4>Background</h4>Skeletal muscle is a complex, versatile tissue composed of a variety of functionally diverse fiber types. Although the biochemical, structural and functional properties of myofibers have been the subject of intense investigation for the last decades, understanding molecular processes regulating fiber type diversity is still complicated by the heterogeneity of cell types present in the whole muscle organ.<h4>Methodology/principal findings</h4>We have produced a first catalogue ...[more]

PMID: 21364935

Similar Datasets

Project description:The genome of the gastric pathogen Helicobacter pylori harbors a remarkably low number of regulatory genes, including three and five open reading frames encoding two-component histidine kinases and response regulators, respectively, which are putatively involved in transcriptional regulation. Inactivation of the response regulator gene hp1021 resulted in a severe growth defect, as indicated by a small-colony phenotype. Recently we found that phosphorylation of the receiver domain HP1021 is not needed for its response regulator function and may not occur at all. No target genes have been identified so far. In this study we define the HP1021-dependent regulon consisting of 79 genes (51 activated, 28 repressed) by global transcriptional profiling of an HP1021-deficient H. pylori mutant. Transcriptome analyses were performed using a whole-genome microarray containing 1649 PCR products generated with specific primer pairs derived from the genome sequences of H. pylori 26695 (Tomb et al., 1997. The complete genome sequence of the gastric pathogen Helicobacter pylori. Nature 388:539-547) and J99 (Alm et al., 1999. Genomic-sequence comparison of two unrelated isolates of the human gastric pathogen Helicobacter pylori. Nature 397:176-180) which were spotted in duplicate. Microarrays were produced as described by Gressmann et al. (Gressmann et al., 2005. Gain and loss of multiple genes during the evolution of Helicobacter pylori. PLoS Genet 1(4):e43). To determine genes which are differentially expressed in the HP1021-deficient mutant 26695/1021::km, cDNA was prepared from RNA extracted from H. pylori 26695 WT and 26695/1021::km. A total of eight RNA samples from two independent RNA preparations from strain 26695 WT and 26695/HP1021::km, respectively, was used for cDNA labelling und hybridisation. Dye reversal colour swaps were performed as follows: one cDNA sample was generated using Cy3-dCTP and the other using Cy5-dCTP resulting in four labelled cDNAs per colour swap. Cy5-dCTP and Cy3-dCTP labelled cDNAs were combined and hybridized to the H. pylori microarray. The slides were scanned using ScanArray HT and analysed by using the ScanArray express software (Perkin Elmer, version 3.0). Spots were flagged and eliminated from analysis when the signal to background ratio was less then three or in obvious instances of high background or stray fluorescent signals. Median intensities of spots were background corrected and differences in dye bias were normalized by using the LOWESS algorithm (Yang et al., 2002. Normalization for cDNA microarray data: a robuste composite method addressing single and multiple slide systematic variation. Nucleic Acid Res. 30:e15). The signal ratios as measure of differential expression between the red and green channels were obtained from processed signal intensities. Ratios were further analysed with Microsoft Excel (Microsoft) and SAM software for statistic significance (Tusher et al., 2001. Significance analysis of microarrays applied to the ionizing radiation response. Proc. Natl. Acad. Sci. USA 98:5116-5121). To determine the significance of differential expression RNA was isolated from the H. pylori 26695 WT grown in BHI broth, and 20 Âµg of this RNA were labelled either with Cy3-dCTP or with Cy5-dCTP. The two cDNA probes generated were hybridized onto the same slide, and the data were analysed as mentioned above. Signal ratios < 0.5 and > 2.0 were analyzed further.

Project description:Listeria monocytogenes is able to efficiently utilize glycerol as carbon source. In a defined minimal medium the growth rate is similar (during balanced growth) in presence of glycerol as in presence of glucose or cellobiose. Comparative transcriptome analyses of L. monocytogenes showed in the presence of glycerol (compared to glucose and/or cellobiose) high transcriptional upregulation of the known genes involved in glycerol uptake and metabolism (glpFK, glpD). Expression of the genes encoding a second putative glycerol uptake facilitator (GlpF-2) and a second putative glycerol kinase (GlpK-2) was less enhanced under these conditions. GlpK-1 but not GlpK-2 was essential for glycerol catabolism in L. monocytogenes under extracellular conditions, while loss of GlpK-1 affected replication in Caco-2 cells less than loss of GlpK-2 and GlpD. Additional genes whose transcription was higher in presence of glycerol than in presence of glucose and cellobiose included those for two dihydroxyacetone (Dha) kinases and many genes that are under carbon catabolite repression (CCR) control. Transcriptional down-regulation in the presence of glycerol (compared to glucose and cellobiose) was observed for several genes and operons that are positively regulated by glucose, including genes involved in glycolysis, N-metabolism and biosynthesis of branched chain amino acids. The highest transcriptional up-regulation was observed for all PrfA-dependent genes during early and late logarithmic growth in glycerol. Under these conditions a low level of HPr-Ser-P and a high level of HPr-His-P was present in the cells, suggesting that all EIIA (B) components of the PTS permeases expressed will be phosphorylated. These and other data reported suggest that the phosphorylation state of PTS permeases correlates with PrfA activity. Keywords: Response of Listeria monocytogenes to different carbon sources A total of four independently isolated RNA samples from each condition at each growth phase were used for the analysis. RNA from two isolations were pooled and hybridized onto two microarray slides with dye swap. Another two microarray slides were hybridized using the same principle. In total, we used four RNAs and four microarray slides to generate 16 replicate expression values for each combination except for the comparison between glucose and cellobiose, phase B where data generated from three microarray slides were used for further analysis

Project description:The human gastric pathogen Helicobacter pylori is extremely well adapted to the highly acidic conditions encountered in the stomach. The pronounced acid resistance of H. pylori relies mainly on the ammonia-producing enzyme urease, however, urease-independent mechanisms are likely to contribute to acid adaptation. Acid-responsive gene regulation is mediated at least in part by the ArsRS two-component system consisting of the essential OmpR-like response regulator ArsR and the non-essential cognate histidine kinase ArsS whose autophosphorylation is triggered in response to low pH. In this study by global transcriptional profiling of an ArsS-deficient H. pylori mutant grown at pH 5.0 we define the ArsR~P- dependent regulon consisting of 110 genes including the urease gene cluster, the genes encoding the aliphatic amidases AmiE and AmiF and the rocF gene encoding arginase. Transcriptome analyses were performed using a whole-genome microarray containing 1649 PCR products generated with specific primer pairs derived from the genome sequences of H. pylori 26695 (Tomb et al., 1997. The complete genome sequence of the gastric pathogen Helicobacter pylori. Nature 388:539-547) and J99 (Alm et al., 1999. Genomic-sequence comparison of two unrelated isolates of the human gastric pathogen Helicobacter pylori. Nature 397:176-180) which were spotted in duplicate. Microarrays were produced as described by Gressmann et al. (Gressmann et al., 2005. Gain and loss of multiple genes during the evolution of Helicobacter pylori. PLoS Genet 1(4):e43). To determine genes which are differentially expressed in the ArsS-deficient mutant G27/HP165::km at pH 5.0, cDNA was prepared from RNA extracted from H. pylori G27 and G27/HP165::km after exposing the bacteria for one hour to acidic pH. A total of eight RNA samples from two independent RNA preparations from strain G27 and G27/HP165::km, respectively, was used for cDNA labelling und hybridisation. Dye reversal colour swaps were performed as follows: One cDNA sample was generated using Cy3-dCTP and the other using Cy5-dCTP resulting in four labelled cDNAs per colour swap. Cy5-dCTP and Cy3-dCTP labelled cDNAs were combined and hybridized to the H. pylori microarray. The slides were scanned using ScanArray HT and analysed by using the ScanArray express software (Perkin Elmer). Spots were flagged and eliminated from analysis when the signal to background ratio was less then three or in obvious instances of high background or stray fluorescent signals. Median intensities of spots were background corrected and differences in dye bias were normalized by using the LOWESS algorithm (Yang et al., 2002. Normalization for cDNA microarray data: a robuste composite method addressing single and multiple slide systematic variation. Nucleic Acid Res. 30:e15). The signal ratios as measure of differential expression between the red and green channels were obtained from processed signal intensities. Ratios were further analysed with Microsoft Excel (Microsoft) and SAM software for statistic significance (Tusher et al., 2001. Significance analysis of microarrays applied to the ionizing radiation response. Proc. Natl. Acad. Sci. USA 98:5116-5121). To determine the significance of differential expression RNA was isolated from the H. pylori G27 wild-type grown in BHI broth (pH 5.0), and 20 Âµg of this RNA were labelled either with Cy3-dCTP or with Cy5-dCTP. The two cDNA probes generated were hybridized onto the same slide, and the data were analysed as mentioned above. Signal ratios < 0.5 and > 2.0 were analyzed further.

Project description:Perfluorooctanoic acid (PFOA) is a potent hepatocarcinogen and peroxisome proliferator (PP) in rodents. Humans are not susceptible to peroxisome proliferation and are thought to be refractory to carcinogenesis by PFOA and other PPs. However, previous studies with rainbow trout have shown that they are also insensitive to peroxisome proliferation by the PP, dehydroepiandrosterone (DHEA), but are still susceptible to enhanced hepatocarcinogenesis after chronic exposure. In this study, we determined whether PFOA is also a tumor promotor in trout and then examined hepatic gene expression profiles to further investigate possible mechanisms of action. Trout were initiated as fry to the hepatocarcinogen, aflatoxin B1, and then fed 200-1800 ppm PFOA in the diet for 30 weeks. Two structurally diverse PPs, clofibrate (CLOF) and DHEA, were included for comparison. Hepatic gene expression profiles were subsequently examined in animals exposed to similar doses of PFOA, DHEA and CLOF along with 5 ppm 17β-estradiol (E2; a known tumor promotor) in the diet. PFOA (1800 ppm) and DHEA treatments resulted in enhanced liver tumor incidence and multiplicity while CLOF showed no effect. Carcinogenesis seemed independent of peroxisome proliferation as no induction of peroxisomal β-oxidation and catalase activity were observed. Alternately, plasma VTG was elevated in fish fed PFOA and DHEA suggesting that estrogenic mechanisms may play a role. Both tumor promotors, PFOA and DHEA, resulted in strong correlation of transcriptional profiles with E2 by Pearson correlation (R=0.81 and 0.78, respectively). In comparison, CLOF regulated no genes in common with E2. Overall, these data suggest that the tumor promoting activities of DHEA and PFOA in trout are independent of peroxisome proliferation and may involve estrogenic mechanisms. Juvenile trout, 12-18 months old, were fed experimental diets containing 500 or 1800 ppm PFOA, 1800 ppm CLOF, 750 ppm DHEA, 5 ppm E2 or 0.15 % dimethyl sulfoxide vehicle control for 14 days. Liver samples were collected for microarray analysis. Hybridizations were performed using standard reference design with dye-swapping. For each sample, equal amounts of RNA (µg) were pooled from five fish per tank for every treatment (n=3 biological replicates per treatment). cDNA from two of the three biological replicates was dye-swapped and hybridized to two slides as technical replicates (5 arrays per treatment).

Dataset Information

Microgenomic Analysis in Skeletal Muscle: Expression Signatures of Individual Fast and Slow Myofibers

Publications

Microgenomic analysis in skeletal muscle: expression signatures of individual fast and slow myofibers.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets