Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Transcription profiling of mouse hindlimb muscle, comparison of wild type and mdx mice, 7 to 112 Day

ABSTRACT: Determination of gene expression changes in hindlimb muscle (gastrocnemius/soleus) of mdx (dystrophin-deficient) mice at postnatal ages 7, 14, 23, 28, 56, and 112.

ORGANISM(S): Mus musculus

SUBMITTER: Henry Kaminski

PROVIDER: E-GEOD-1025 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

Dissection of temporal gene expression signatures of affected and spared muscle groups in dystrophin-deficient (mdx) mice.

Porter John D JD Merriam Anita P AP Leahy Patrick P Gong Bendi B Khanna Sangeeta S

Human molecular genetics 20030801 15

Although dystrophin mutations are the proximate cause of Duchenne muscular dystrophy (DMD), interactions among heterogeneous downstream mechanisms may be key phenotypic determinants. Temporal gene expression profiling was used to identify and correlate diverse transcriptional patterns to one another and to the disease course, for both affected and spared muscle groups, in postnatal day 7-112 dystrophin-deficient (mdx) mice. While 719 transcripts were differentially expressed at one or more ages ...[more]

PMID: 12874102

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Project description:In this study, in order to minimize the genetic variability of muscle samples we have used two approaches. First, we have analyzed the gene expression profile from a single skeletal muscle, the medial gastrocnemius (MG), and not from a pool of different muscles which could have different expression profiles. Second, we have performed the temporal gene expression profiling by extracting the MG muscles of the same individual from the both legs at two different times to minimize the inter-individual genetic variability. The MG muscle represent an excellent candidate for biopsy due to its easy accessible by surgery and also because its biopsy is well tolerated by the animals allowing us to perform another later biopsy in the other leg to obtain two MG samples of the same individual at two different times. Moreover, MG muscle is composed of approximately 20-30% type I (red) fibers and 70-80% type II (white) fibers {Ariano MA, 1973}, {Simard C, 1988}, {Zhan WZ, 1992} and therefore is more representative of skeletal muscle tissue in general than a muscle composed exclusively by red or white fibers. The transcript expression profiles in MG muscles from mdx and wild-type mice were analyzed at 3 weeks, 1.5 months and 3 months of life by using the 430 2.0 gene chips from Affymetrix (n=3 for each condition). The differentially expressed transcripts which showed differences ?1.5-fold were obtained by performing three different comparisons: 1) genes differentially expressed in mdx compared with controls at each point in time (additional file 1); 2) temporal analysis of the genes differentially expressed in mdx mice between the three points in time also compared with the variations in control mice (additional file 2); and 3) temporal analysis of the genes differentially expressed in control mice between the three points in time also compared with the variations in mdx mice (additional file 3). The first comparison that we performed, by comparing the gene expression between mdx and control mice at every point in time, was similar to that performed in previous longitudinal studies {Porter JD, 2003}, {Rouger K, 2002}, {Turk R, 2005}. However, the other two comparisons were directed to elucidate the genes that are varying throughout the period of time analyzed in every mice strain, and therefore we obtained on the one hand the genes that vary in mdx mice but not in wild-type, and on the other hand the genes that vary in control animals but remain unchanged in mdx mice between the times analyzed. To present the results in a more comprehensive form, all the genes were classified in seven different categories: Cell adhesion & extracellular matrix; Proteolysis; Muscle structure & regeneration; Inflammation & immune response; Cell signaling & cell communication; Metabolism; and Others/unknown. The resulting genes from our study were classified in their functional categories using information from Affymetrix (www.affymetrix.com) and from the Gene Ontology database accessible in the Jackson Laboratory Mouse Genome Informatics website (www.informatics.jax.org).

Project description:During the course of infection, T cells are confronted with a multitude of non self epitopes but only respond to a few epitopes and neglect other potentially immunogenic peptides. Restriction of T cell responses to a small number of selected epitopes (immunodominance) is a central feature of immune responses. Immunodominance is considered to be disadvantageous to the host because it allows pathogens to escape by selectively mutating the relevant epitope(s). Using Affymetrix microarrays, we compared the gene expression profile of unprimed CD8 T cells to that of effector CD8 T cells specific for a dominant (H7a) and a nondominant (HY) Ag. Our key finding is that T cells specific for the dominant and nondominant Ags displayed similar gene expression profiles except for a few gene transcripts, such as Gzma, Sell, Il7r and Klrg1, that contribute to the fitness of effector CD8 T cells. The differences between HY- and H7a-specific CD8 T cells were validated by real-time PCR and flow cytometry analyses. We propose that, by leading to selective expansion of the fittest CD8 effector T cells, immunodominance may be beneficial to the host. Inhibition of T cell response to nondominant Ags would ensure that host resources (APCs, cytokines) for which T cells compete are devoted to T cells that have the best effector potential. One implication is that, in general, favouring expansion of the fittest effector T cells may be more important that increasing the diversity of the T cell repertoire. Experiment Overall Design: B10.H7b female mice were primed by i.p. injection of a cell mixture containing 2 x 107 B10 male splenocytes and 2 x 107 B10.H7b male splenocytes. On day 14 after priming, splenocytes were labeled with anti-CD8 Ab as well as H7a- and HY-Tet labeled with different fluorochromes. Then, three populations of splenocytes were purified using a FACS cell sorting: HYTet+ (n=4), H7aTet+ (n=4), and Tet- (n=5) CD8 T cells. RNA of sorted T cells was extracted and linearly amplified, cRNA was prepared, and Affymetrix Mouse Genome 430 2.0 oligonucleotide arrays were used to analyze gene expression.

Dataset Information

Transcription profiling of mouse hindlimb muscle, comparison of wild type and mdx mice, 7 to 112 Day

Publications

Dissection of temporal gene expression signatures of affected and spared muscle groups in dystrophin-deficient (mdx) mice.

Similar Datasets

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