ABSTRACT: we want to test how different diets (high energy diet HED and low energy diet LED) alter muscle methabolism in pigs. we perform different array experiments using an human platform (GPL2011) and RNA extracted from pig skelethal muscle. thank's this we also test cross-species hybridisation. extraction of RNA from pig skeletal muscle by a modification of Chomczynski protocol. cDNA was purified and labelled with Cy3 and Cy5 fluorochromes using the cDNA labeling purification module kit (Invitrogen). The HED samples were analysed in comparison to LED samples, used as reference. The labelled cDNA were appropriately coupled and used for competitive hybridisation on the same microarray at 42°C for 16h. The relative intensity of labelled cDNA in HED and LED was acquired with ScanArray LITE scanner (PerkinElmer Life Sciences, Inc). platform used for our experiments is GPL2011.
Project description:we want to test how different diets (high energy diet HED and low energy diet LED) alter muscle methabolism in pigs. we perform different array experiments using an human platform (GPL2011) and RNA extracted from pig skelethal muscle. thank's this we also test cross-species hybridisation. Keywords: comparative genomic hybridisation
Project description:a- Self –Self Hybridisation were used to set confidence 99% interval using RNA from non-tethered cell lines that is both labelled in with cy3 cy5 (theoretically identical cDNA populations) to compared technical errors associated with such experiments Keywords: comparative hybridization to access expression profiles between Cy3 and Cy5 uniformally labelled template.
Project description:Comparison of pre and post metamorphis phases of cane toad Keywords: Developmental Stages Samples were harvested at 9, 18, 28 (pre-metamorph), 30 and 53 (post-metamorph) days of age and RNA extracted using Trizol Reagent (Invitrogen). Total RNA (100 mg) was reverse transcribed (Qiagen) and labelled cDNA probes were generated using the fluorophores, Cy3 and Cy5 (Amersham Pharmacia Biotech). Prehybridization of slides, application of the probe to the microarray slides, hybridisation, and subsequent washing steps were performed according to manufacturer's instructions (Corning Microarray Technology). Slides were scanned and analysed with a GenePix 4000B laser scanner and GenePix 3.0 and 4.0 software (Axon Instruments).
Project description:Obese and lean-type pig breeds show obvious differences in adipose deposition and muscle growth; however, the molecular mechanisms underlying this phenotypic variation remains unclear. Landrace (a leaner, Western breed), Rongchang (a fatty, Chinese breed) and Tibetan (a feral, indigenous Chinese breed that has not undergone artificial selection) pig breeds were used in this study. We collected eight diverse adipose tissues and two phenotypically distinct skeletal muscle tissues from three well-defined pig models with distinct fat rates, and studied mRNA expression differences among breeds, males and females, and tissues. These results highlight some possible candidate genes for porcine adipose deposition and muscle growth and provide some data on which to base further studies of the molecular basis of energy metabolism. The mRNA expression differences of eight diverse adipose tissues and two phenotypically distinct skeletal muscle tissues from three well-defined pig models with distinct fat rates are measured.
Project description:The introduction of long oligonucleotide-based probes has led to many comparative studies of these two platforms in mammals, but remains to be performed for pig. Further, the characteristics of global gene expression in diverse porcine muscle tissues have not been yet been fully established. This is the first global gene expression study of a collection of nine porcine muscle tissues consisting of cardiac and various skeletal muscle types using both cDNA-based and long oligonucleotide-based microarray platforms. The expression profiles from the two platforms agree in differentiating between cardiac, skeletal red, skeletal intermediate and skeletal white muscle types by producing almost identical hierarchical expression clusters. The clusters from both platforms also reveal that gene expression profiles of the skeletal intermediate type are more similar to the red type than to the white type. Analysis of the ability to identify differentially expressed genes based on gene set analysis and GO term integration show a platform overlap of at least 80% for the cardiac-skeletal comparisons and a platform overlap of at least 58% for the skeletal red-white comparisons. Interestingly, the oligonucleotide platform was always able to identify more GO terms associated with differential expression than the cDNA platform. We further examined the skeletal red-white expression differences and found many GO biological processes that are known to be associated with these phenotypes including calcium ion transport, glycolysis, fatty acid beta-oxidation and muscle contraction. In addition, the expression of genes involved in differentiation between slow (red) and fast (white) muscle types such as MYBPC1, TNNI1, TNNT3 and ATP2A1 is highly regulated between red and white type muscles. Not previously shown to be associated with this tissue difference we found the biological process post-Golgi vesicle-mediated transport. Similar results were obtained with GO classes cellular components and molecular functions. Using the gene expression profiles from the oligonucleotide platform we presented and applied an approach for predicting alternatively spliced transcripts across cardiac and skeletal type muscles. One of the predicted transcripts from the gene named UBE2C has been shown to have six transcript variants in human, but they are not expressed in a cardiac-skeletal specific manner as we have observed here. We speculate that one of our oligonucleotide probes for this gene is able to detect only three of these variants whereas the other detects all six variants and that these variants are expressed in a cardiac-skeletal muscle specific manner. These results supports some of the advantages of using oligonucleotide-based microarray platforms for global gene expression profiling and the observed differences in gene expression among muscle tissues contribute to the understanding of the molecular processes behind porcine muscle biology. Keywords: tissue comparison, platform comparison Muscle tissue samples from heart (HEA), Vastus intermedius (VIN), Infraspinatus (ISP), Supraspinatus (SSP), Biceps femoris (BFE), Longissimus dorsi (LDO), Semimembranosus (SME), Semitendinosus (STE) and Triceps brachii (TBR). A common reference sample was constructed by combining all samples. The exact same tissue samples were used for expression profiling with cDNA microarrays and 70-mer long oligonucleotide microarrays.
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 µg 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: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 µg 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:Gene expression profiles in PPD-stimulated and unstimulated peripherhal blood mononuclear cells isolated from chinese cynomolgus macaques before and after BCG vaccination and before and after M. tuberculosis challenge were compared in animals able to control TB infection and those that developed TB disease in order to identify potential correlates of protection and/or biomarkers of disease. 6 macaques received BCG vaccination prior to challenge and were able to control TB infection (vaccinated controllers). 3 unvaccinated macaques were also able to control TB infection after challenge (unvaccinated controllers) and 3 other unvaccinated macaques developed TB disease and reached humane endpoint criteria (unvaccinated progressors). PBMCs isolated at 8 and 18 weeks post BCG-vaccination from the vaccinated controllers and at 6 weeks post M.tb challenge and at 2 time-points when the animals were naive in all animals were stimulated with PPD. RNA was extracted from the cells and hybridised to and Agilent rhesus macaque GE microarray in a one-colour hybridisation. Gene expression post-vaccination and/or post-challenge was compared with expression before vaccination/challenge when the animals were naive.
Project description:Comparing the gene expression of primary human B cell populations using human Lymphochip cDNA spotted arrays. Primary samples (Cy5) were compared to a reference pool of polyA+ RNA (Cy3). Keywords: cell type comparison design PolyA+ RNA was extracted from primary B cell populations (Cy5) and compared to a reference pool of polyA+ RNA (Cy3) on human Lymphochip cDNA spotted arrays. Each population was labelled and hybridized in duplicate.
Project description:Cervical cancer develops from pre-cancerous high-grade cervical intraepithelial neoplasia (CIN) lesions harbouring a transforming infection with high-risk human papillomavirus (hrHPV), which is characterised by p16INK4a overexpression. Since it takes one or more decades for these pre-cancerous lesions to progress to invasive squamous cell carcinomas (SCCs), it is obvious that they are heterogeneous in terms of duration of existence and progression risk. We performed array-based comparative genomic hybridisation (array CGH) of 46 p16INK4a immuno-positive CIN2/3 lesions to determine whether this heterogeneity is reflected in their chromosomal profiles. Chromosomal profiles of CIN2/3 lesions were related to those of invasive cervical squamous cell carcinomas (SCCs) and promoter methylation of the CADM1 gene, a tumour suppressor gene known to be functionally involved in the tumorigenic phenotype of cervical cancer cells. Frequent alterations found in CIN2/3 lesions included gains located at chromosome 1, 3, 7 and 20 and losses located at 4, 11, 16, 17 and 19. Unsupervised hierarchical clustering identified two subsets of CIN2/3 lesions, chromosomal profiles of one of which closely resembled invasive SCCs. Gains of 1, 3q and 20 were characteristic for CIN2/3 lesions with chromosomal signatures resembling carcinomas. In addition, dense promoter methylation of the CADM1 gene was significantly more frequent in these CIN2/3 lesions (p=0.004). No chromosomal alterations were detected in one p16INK4a positive and five p16INK4a negative CIN1 lesions. These findings suggest that biomarkers associated with gains at chromosomes 1, 3q and 20 are potential hallmarks of advanced p16INK4a positive CIN2/3 lesions with a high short-term risk of progression. Genomic DNA of 46 high-grade cervical lesions was hybridised to 5K CGH BAC microarrays (5K) produced at the Microarray facility of the VU Medical Center. In total 4632 BAC clones with known chromosomal location were spotted in triplicate, which included the 1Mb resolution Sanger BAC clone set and a subset of clones from the Children’s Hospital Oakland Research Institute (CHORI). All samples were labelled with Cy3 and hybridised together with a pool of normal male reference DNA labelled with Cy5. Hybridisations were essentially performed as described by Snijders et al (Nature Genetics 2001). Both pre-hybridisation and hybridisation were performed in a hybridisation station (HybStation12 – Perkin Elmer Life Sciences). Hybridised arrays were scanned using a G2505B scanner (Agilent, Wilmington, DE, USA). Spots were quantified using ImaGene 5.6.1 software (BioDiscovery Ltd, Marina del Rey, CA, USA) with default settings for the flagging of bad quality spots. Genomic DNA of 6 CIN1 lesions was hybridised on CGH oligo microarrays (44K) produced by Agilent following the manufacturer’s protocol against the same normal reference pool. Hybridised arrays were scanned using the same scanner (G2505B, Agilent). Quantification of these arrays was done using Feature Extraction software version 9.5.1 (Agilent).