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Transcriptomic gene profiling of porcine muscle tissue depending on histological properties

ABSTRACT: Purpose: Next-generation sequencing (NGS) was used to select genes potentially associated with fiber-type distribution and cell size in porcine muscle tissue. Methods: The histological profile of the longissimus lumborum muscle was establish by method involving detection of NADPH dehydrogenase (diaphorase) and immunohistochemically detection of myosin chains. The muscle transcriptome sequencing was performed for 11 pigs using Illumina HiScan SQ in 50 single-end cycles. The quantifying transcript abundances was made using the RSEM supported by STAR aligner. The raw reads were aligned to the Sus scrofa reference genome (assembly Sscrofa10.2). Differentially expressed genes were detected by edgeR, baySeq and DESeq2. The RNA-seq results were validated using by qPCR. Results: The RNA-seq approach allows to identify 397 differentially expressed genes (DEGs) indicated as significant (FDR<0.05) using three software: DESeq2, edgeR and baySeq. Detected genes and pathways deregulated in muscle depend on tissue microstructure were associated with metabolic processes – 158 genes; cellular processes – 122; biological regulation – 62; localization – 51 and 35 genes with developmental processes. The detected DEGs were included in such pathways as: PI3K-Akt; FoxO and MAPK signaling pathways, regulation of actin cytoskeleton, lysine degradation and insulin signaling pathway as well as in mTOR and Hippo signaling. Conclusions: This results highlight the mainly metabolic pathways related with glucose metabolism and contraction processes of muscle cells. The comparison of whole gene expression profiles between muscles characterized by different fiber-type distribution showed that processes of growth and proliferation of different fiber types are determined by diverse molecular mechanism, which conditioned the unique histological structure of muscle tissue.

ORGANISM(S): Sus scrofa

PROVIDER: GSE75493 | GEO | 2015/12/06

SECONDARY ACCESSION(S): PRJNA304420

REPOSITORIES: GEO

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Project description:Purpose: Next-generation sequencing (NGS) was used to select genes potentially associated with fiber-type distribution and cell size in porcine muscle tissue. Methods: The histological profile of the longissimus lumborum muscle was establish by method involving detection of NADPH dehydrogenase (diaphorase) and immunohistochemically detection of myosin chains. The muscle transcriptome sequencing was performed for 11 pigs using Illumina HiScan SQ in 50 single-end cycles. The quantifying transcript abundances was made using the RSEM supported by STAR aligner. The raw reads were aligned to the Sus scrofa reference genome (assembly Sscrofa10.2). Differentially expressed genes were detected by edgeR, baySeq and DESeq2. The RNA-seq results were validated using by qPCR. Results: The RNA-seq approach allows to identify 397 differentially expressed genes (DEGs) indicated as significant (FDR<0.05) using three software: DESeq2, edgeR and baySeq. Detected genes and pathways deregulated in muscle depend on tissue microstructure were associated with metabolic processes â?? 158 genes; cellular processes â?? 122; biological regulation â?? 62; localization â?? 51 and 35 genes with developmental processes. The detected DEGs were included in such pathways as: PI3K-Akt; FoxO and MAPK signaling pathways, regulation of actin cytoskeleton, lysine degradation and insulin signaling pathway as well as in mTOR and Hippo signaling. Conclusions: This results highlight the mainly metabolic pathways related with glucose metabolism and contraction processes of muscle cells. The comparison of whole gene expression profiles between muscles characterized by different fiber-type distribution showed that processes of growth and proliferation of different fiber types are determined by diverse molecular mechanism, which conditioned the unique histological structure of muscle tissue. The muscle (longissimus lumborum) transcriptome sequencing was performed for 11 pigs using Illumina HiScan SQ in 50 single-end cycles and in five technical repetitions.

Project description:Solexa/Illumina deep sequencing was used to obtain miRNA transcriptome profiles for control (basal diet, 14.49% crude protein, 13.73 MJ/kg digestible energy, 0.86% available lysine) and traditional Chinese medicine formula (basal diet+2.5 g/kg traditional Chinese medicine formula) groups. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway analysis was performed using DAVID functional annotation to identify the biological process function of the miRNAs identified as being involved in muscle fiber regulation. We detected 269 mature miRNAs and 14 pre-miRNAs in the porcine muscle samples, of which 211 were previously unreported. Pathway analyses suggested that several independent signaling pathways were involved in the biological process, cellular component, and molecular function categories, with metabolic pathways showing the most enrichment and including some pathways involved in the regulation of muscle fiber phenotype such as mitogen-activated protein kinase (MAPK), mammalian target of rapamycin, and citrate cycle signaling pathways. Thirty-seven miRNAs exhibited normalized expression of over 10,000 reads per million, accounting for 85.91% of the overall counts of the total porcine mature miRNAs. Among these, 9 were muscle-related miRNAs involved in muscle development, including skeletal satellite cell (ssc)-miR-133a-3p, ssc-miR-486, ssc-miR-26a, ssc-miR-21, ssc-miR-1, ssc-miR-10b, ssc-miR-181a, ssc-miR-128, and ssc-miR-23a. In particular, miR-1 and miR-133 are muscle-specific miRNAs, termed myomiRs, which play an important role in muscle differentiation and development. Furthermore, porcine skeletal satellite cell transfection experiments indicated that overexpression or inhibition of ssc-miR-27a repressed or increased, respectively, MYH7 gene and protein expression through the PGC-1-MEF2C pathway, suggesting that miR-27a participated in the regulation of muscle fiber in skeletal muscle. In conclusion, these miRNAome profiles provide novel insight into the mechanism underlying muscle fiber regulation.

Project description:Introduction: The mouse skeletal muscle is composed of four distinct fiber types that differ in contractile function, number of mitochondria and metabolism. Every muscle group has a specific composition and distribution of the four fiber types. Until now, three genes (CnA, PGC1α and PPARδ) are identified that are involved in the generation of more oxidative muscle types. In the present study we searched for novel genes that are involved in specifying different muscle types. Methods: Gastrocnemius and quadriceps muscles were dissected from 20-week old C57BL/6J mice. Gene expression profiles were compared at the level of the whole-transcriptome. The diet-sensitivity of genes differentially expressed between muscle types was explored by comparing mice fed a low fat diet with mice fed a high fat diet. Results: We identified 162 differentially expressed genes in the gastrocnemius as compared with the quadriceps. Genes with the strongest regulations were markers for oxidative fiber types, Hoxd8, Hoxd9 and Hoxd10 and others involved in embryogenesis. Additionally, diet did not influence the expression levels of genes specifying muscle types. Finally, when extrapolating our data to the soleus we could not find a corresponding gene expression pattern between Hoxd8, Hoxd9 and any of the fiber-type specific markers. However, based on these gene expression patterns we could distinguish the gastrocnemius, quadriceps and soleus from each other. Conclusion: Hoxd genes and genes that are markers for the different fiber types specify muscle type in a diet-independent way The aim of the present study was to find novel genes that may play a role in specifying muscle types. Therefore we compared gene expression profiles of the gastrocnemius with the quadriceps at the level of the whole-transcriptome. Functional implications were assessed by the analyses of predefined gene sets based on Gene Ontology, biochemical, metabolic and signaling pathways. muscle-type comparison

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Transcriptomic gene profiling of porcine muscle tissue depending on histological properties

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