Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

DeepCAGE and DeepSAGE with proliferating and differentiated C2C12 mouse myoblasts

ABSTRACT: We use tag-based next generation sequencing analysis to quantify gene expression levels during myogenic differentiation and focused on the identifcation of novel 3' ends with DeepSAGE and novel 5' ends with DeepCAGE. Illumina DeepCAGE and DeepSAGE with C2C12 cells at time points T0 (proliferating) and T9 (differentiated) days of differentiation.

ORGANISM(S): Mus musculus

SUBMITTER: Peter 't Hoen

PROVIDER: E-GEOD-21580 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

Tissue-specific transcript annotation and expression profiling with complementary next-generation sequencing technologies.

Hestand Matthew S MS Klingenhoff Andreas A Scherf Matthias M Ariyurek Yavuz Y Ramos Yolande Y van Workum Wilbert W Suzuki Makoto M Werner Thomas T van Ommen Gert-Jan B GJ den Dunnen Johan T JT Harbers Matthias M 't Hoen Peter A C PA

Nucleic acids research 20100707 16

Next-generation sequencing is excellently suited to evaluate the abundance of mRNAs to study gene expression. Here we compare two alternative technologies, cap analysis of gene expression (CAGE) and serial analysis of gene expression (SAGE), for the same RNA samples. Along with quantifying gene expression levels, CAGE can be used to identify tissue-specific transcription start sites, while SAGE monitors 3'-end usage. We used both methods to get more insight into the transcriptional control of my ...[more]

PMID: 20615900

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Project description:Steady-state RNA levels are a result of RNA synthesis and degradation. The importance of transcription-factor mediated induction or repression of mRNA synthesis is well established, but the role and mechanisms of RNA degradation are less well understood. We globally evaluated the RNA decay rates in proliferating and differentiated mouse myoblasts on whole-genome Affymetrix exon arrays, allowing for the assessment of directionality of RNA degradation and the detection of splice variant-specific differences in RNA decay rates. We found large differences in decay rates. mRNAs coding for proteins involved in signal transduction and transcriptional regulation have shortest half lives, whereas mRNAs coding for DNA replication enzymes and muscle contraction proteins are among the most stable. Many genes differentially expressed between proliferating and differentiated myoblasts demonstrate major differences in RNA decay rates. Quantitative PCR experiments confirmed the higher stability of transcripts with increased expression levels. RNA degradation has no apparent preferential directionality. RNA degradation appears to affect the ratio of different splice variants. For example, Itga7 isoforms with higher abundance in differentiated than in proliferating cells are more stable in differentiated cells, despite the sharing of a common 3’ untranslated region. Thus, where it was previously thought that the abundance of different splice isoforms was mainly controlled by tissue-specific splicing factors, we now demonstrate that isoforms may be produced at comparable levels but degraded with different efficiencies, depending on the differentiation status of the cells. Our results indicate that control of RNA degradation rates contributes significantly to the differentiation stage-dependent differences in abundance of transcripts and splice variants. Keywords: total RNA expression profiling; cultured cells We analyzed proliferating C2C12 cells and C2C12 cells differentiated into myotubes by serum starvation (8 days after induction of differentiation). We analyzed 7 time points after addition of actionmycin D (0, 10, 20, 30, 60, 150, 480 minutes). There were two biological replicates per condition.

Project description:High-fat diet or exposure to saturated fatty acids affects skeletal muscle growth and function. The aim of the present study was to investigate the effect of palmitate on the transcriptomic profile of mouse C2C12 myoblasts. Global gene expression was evaluated using whole mouse genome oligonucleotide microarrays, and the results were validated through real-time PCR. A total of 4047genes were identified as differentially expressed, including 3492 down-regulated and 555 up-regulated genes during 48-h-exposure to palmitate (0.1 mmol/l). Functional classification showed the involvement of PA-regulated genes in several processes which regulate cell growth. In conclusion, palmitate modifies the expression of genes associated with: i) myoblast responsiveness to hormones and growth factors, ii) cytokine and growth factor expression, and iii) regulation of cell-cell cell-matrix communication. Such alterations can affect myoblast growth and differentiation, however further studies in this field are required. To whom the correspondence should be addressed: Dr K. Grzelkowska-Kowalczyk; e-mail: k_grzel_kow@poczta.fm, tel/fax: (48 22) 847 24 52 After scanning of hybridized microarrays, quantitation of slide images was performed using Feature Extraction Software (Agilent) using default parameters and the raw data were exported to GeneSpring GX 12 (Agilent, Santa Clara, CA) and log2 transformed. For identification of genes significantly altered in cell compared with the control normal gene set. Total detected entities were filtered by flags (detected, non detected) and error (coefficient of variation: CV < 50.0 percent) to remove very low signal entities and to select reproducible signal values of entities among the replicated experiments, respectively. In statistical analysis, separated for experiment with myoblasts treated with palmitate acid was used t-test unpaired (p < 0.05) with multiple testing correction: Benjamini-Hochberg <0.05, all significant changes over fold change 1.6 were selected.

Dataset Information

DeepCAGE and DeepSAGE with proliferating and differentiated C2C12 mouse myoblasts

Publications

Tissue-specific transcript annotation and expression profiling with complementary next-generation sequencing technologies.

Similar Datasets

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