Muscle transcriptome profile of Alentejano and Bísaro pig breeds
Ontology highlight
ABSTRACT:
ORGANISM(S): Sus scrofa
PROVIDER: GSE159817 | GEO | 2021/03/01
REPOSITORIES: GEO
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Project description:Purpose: The aim of present research was to identify genes potentially related with muscle growth in pig Methods: RNA-seq analysis was performed on longissimus lumborum samples collected from 13 pigs representing two sire-line breeds – Pietrain and Hampshire. Base on dissection data, pigs were selected from a larger population in terms of weight of loin muscle to obtain the most extreme groups in each breed The cDNA libraries were constructed form 300 ng of total RNA with the use TruSeq RNA Sample Prep Kit v2 kit (Illumina) according to the protocol. The quantification of obtained libraries was performed on Qubit 2.0 (Invitrogen, Life Technologies) and TapeStation 2200 (D1000 ScreenTape; Agilent). The RNA-seq was performed in 101 single-end cycles on HiScanSQ platform (Illumina) with the use of ruSeq SR Cluster Kit v3- CBOT-HS and TruSeq SBS Kit v 3 - HS (Illumina). Each library was sequences in 4 technical replications. The DEGs were detected using DESEq2 software and validation was performed by qPCR. Results: RNA-seq approach allowed to identify 627 and 416 DEGs between pig groups with different loin weight (pvalue <0.05; fold change≤1.5) for Pietrain and Hampshire; respectively. Next, the comparison of obtained genes sets showed 43 genes identified in both breeds. The Gene Ontology analysis (Panther software) confirmed that detected genes were involved in regulation of metabolic process (18 genes), developmental growth or skeletal system development (PCOLCE; BBS2; TBX2; RBBP6; ATAF5). According to David software these genes belong to PI3K-Akt signaling, Focal adhesion and ECM-receptor interaction pathways. Conclusions: Obtained results allow to propose the panel of genes, which can be related with porcine muscle growth and development. Such analysis can be the basis of future research in terms of identification of candidate genes related with important production traits in pigs.
2017-12-01 | GSE107207 | GEO
Project description:Purpose: The aim of present research was to identify miRNAs potentially related with muscle growth in pig Methods: miRNA-seq analysis was performed on longissimus lumborum samples collected from 13 pigs representing two sire-line breeds – Pietrain and Hampshire. Based on dissection data, pigs were selected from a larger population in terms of weight of loin muscle to obtain the most extreme groups in each breed The miRNA libraries were constructed form total RNA with the use Neb Next Multiplex Small RNA Library Prep Set for Illumina (New England Biolabs) according to the protocol. The quantification of obtained libraries was performed on a Qubit 2.0 spectrophotometer (Invitrogen, Life Technologies) and a TapeStation 2200 instrument (D1000 ScreenTape; Agilent). The miRNA-seq was performed in 36 single-end cycles on HiScanSQ platform (Illumina) with the use of TruSeq SR Cluster Kit v3- CBOT-HS and TruSeq SBS Kit v 3 - HS (Illumina). Differentially expressed microRNAs were detected using the DESeq2 software while validation was performed by qPCR. Results: miRNA-seq approach allowed to identify 196 known and 149 potentially novel miRNAs in both breeds. The comparison of miRNA profiles between pig groups with different loin weight showed differential expression of 57 microRNAs for Hampshire pigs and 34 miRNAs for Pietrain pigs. Furthermore, 18 common microRNAs with differential expression were identified for both breeds tested. The Gene Ontology analysis (DIANA mirPath v.3 tool) confirmed that detected genes were involved in regulation of cell cycle, fatty acid biosynthesis, regulation of actin cytoskeleton, lysine degradation and ubiquitin mediated proteolysis. According to the KEGG Database, these DE miRNAs enrich the following pathways, i.a.: the Hippo signaling pathway, TGF-beta signaling pathway and PI3K-Akt signaling pathway. Conclusions: Obtained results allow to propose the panel of miRNAs, which can be related with porcine muscle growth and development. Such analysis can be the basis of future research in terms of identification of candidate miRNAs related with important production traits in pigs.
2018-04-23 | GSE109215 | GEO
Project description:eQTL analysis of Longissimus lumborum muscle in pig
2020-12-31 | GSE145892 | GEO
Project description:Array analysis of My-bi and Ly-bi HSC identifies candidate molecules for myeloid-bias. Collectively the data show that HSC in adults are largely epigenetically fixed in differentiation and self-renewal behavior. A direct examination of the epigenetic mechanisms that imprint HSC is difficult. However, an indirect way of assessing the effects of epigenetic imprinting is to look for the expressed gene programs of different types of HSC. Therefore, we performed an array analysis in collaboration with Dr. Michael Cooke. My-bi and Ly-bi HSC were identified in clonally repopulated hosts. The analysis returned 218 differentially expressed genes (M-bM-^IM-% Log2 M-bM-^IM-%2, p< 0.05) of which 36 were found to be overexpressed in My-bi HSC and the rest was overexpressed in Ly-bi HSC (Appendix A). There was no difference in expression levels for genes known to be involved in fate decisions during differentiation. This agrees well with our data that lineage bias is a stable function of a HSC, and does not reflect a differentiated type of cell. Gene expression profiles of myeloid-biased (My-bi) and lymphoid-biased (Ly-bi) stem cells were analyzed. Clonally repopulated hosts were generated by limiting dilution of bone marrow into ablated hosts and lineage bias was determined. Single My-bi (Tenor) and Ly-bi (Mort) repopulated hosts were sacrificed and Donor type HSC were enriched for Sca-1+, Lin- cells. Two technical replicates of RNA extract were run from each clone.
2013-05-01 | E-GEOD-41702 | biostudies-arrayexpress
Project description:Background: Skeletal muscle growth and development is highly orchestrated in gene expressions. Understanding the location-specific and breed-specific genes and pathways are agriculturally important on meat products and meat quality. In the present study, RNA-Seq was performed to elucidate the difference of muscle deposition between locations and breeds for functional genomics studies. To achieve those goals, skeletal muscle samples were collected for pectoral muscle (PM) and leg muscle (LM) of two genetically different duck breeds, Heiwu duck (H) and Peking duck (P), at embryonic 15 days. Functional genomics studies were performed in two experiments: Experiment 1 directly compared location-specific genes between PM and LM, while Experiment 2 compared the two breeds (H and P) at the same development stage (embryonic 15 days). Results: Almost 13 million clean reads was generated using Illumina technology on each library, and more than 70% reads mapped to Anas platyrhynchos breed Peking duck genome. We identified 246, 258, 20 and 54 differentially expressed genes (DEGs) (log2.fold-change >0.5, and P-value <0.05) for H-PM vs H-LM, P-PM vs P-LM, H-LM vs P-LM and H-PM vs P-PM library, separately. A total of 168 genes were differentially expressed by over locations in experiment 1, while only 8 genes were differentially expressed by over breeds in experiment 2. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes pathways (KEGG) were used to functionally annotate DGEs. In experiment 1, DEGs mainly involved in Focal adhesion, PI3K-Akt signaling pathway and ECM-receptor interaction pathways (corrected P-value<0.05). In experiment 2, DEGs only associated with ribosome signal pathway (corrected P-value<0.05). In addition, quantitative real-time PCR was employed to confirm 15 differentially expressed genes detected by RNA-Seq. Conclusions: Comparative transcript analysis of leg muscle and pectoral muscle of two duck breeds not only improves our understanding of those location-specific and breed-specific genes and pathways, but also provides some candidate molecular targets for increase muscle products and meat quality by genetic control. Conclusions: Our study represents the first detailed analysis of duck breed muscle transcriptomes generated by RNA-seq technology. The optimized data analysis workflows reported here should provide a framework for comparative investigations of expression profiles. Our results show that NGS offers a comprehensive and more accurate quantitative and qualitative evaluation of mRNA content within a cell or tissue. We conclude that RNA-seq based transcriptome characterization would expedite genetic network analyses and permit the dissection of complex biologic functions.
2015-12-30 | GSE65628 | GEO
Project description:Array analysis of My-bi and Ly-bi HSC identifies candidate molecules for myeloid-bias. Collectively the data show that HSC in adults are largely epigenetically fixed in differentiation and self-renewal behavior. A direct examination of the epigenetic mechanisms that imprint HSC is difficult. However, an indirect way of assessing the effects of epigenetic imprinting is to look for the expressed gene programs of different types of HSC. Therefore, we performed an array analysis in collaboration with Dr. Michael Cooke. My-bi and Ly-bi HSC were identified in clonally repopulated hosts. The analysis returned 218 differentially expressed genes (≥ Log2 ≥2, p< 0.05) of which 36 were found to be overexpressed in My-bi HSC and the rest was overexpressed in Ly-bi HSC (Appendix A). There was no difference in expression levels for genes known to be involved in fate decisions during differentiation. This agrees well with our data that lineage bias is a stable function of a HSC, and does not reflect a differentiated type of cell.
2013-05-01 | GSE41702 | GEO
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.
2015-12-06 | E-GEOD-75493 | biostudies-arrayexpress
Project description:The aim of this work was to explore the genome function of AL and BI pig breeds to better understand the underlying physiological mechanisms associated with body fat accretion and lean muscle tissue deposition and therefore, meat quality of these breeds. Dorsal subcutaneous fat samples were collected at slaughter from adult AL and BI pigs (n=4 for each genotype) with ~150kg body weight. Total RNA was obtained and sequenced for transcriptome analysis and a bioinformatic analysis using the DESeq2 R package was implemented. A total of 458 differentially expressed genes (q-value<0.05) were identified, with 263 found overexpressed in AL and 195 in BI, including 47 novel genes. Several key genes involved in de novo fatty acid biosynthesis, elongation and desaturation were consistently found upregulated in AL such as acly, fasn, me1, elovl6 and scd. A functional enrichment analysis of the candidate genes was performed using Ingenuity Pathway Analysis, which revealed GH signalling, HOTAIR regulatory pathway, AMPK and IGF-1 signalling among the top canonical pathways associated to the BI. Potential upstream regulators such as SCAP, MED1, SREBF2 and PPARG were found activated in AL, suggesting increased adipogenesis and cholesterol synthesis. Regulators found in the BI included INSIG1, INSIG2 and FOXO1 associated with lipogenesis inhibition, and MEF2C and PDGFB, related to myogenesis, cell proliferation and differentiation.
2020-05-26 | GSE145956 | GEO
Project description:The purpose of this study was to compare the gene expression profile of recurent exercise rhabdomyolysis vs control muscles in French Trotter to determine any metabolic or structural disorder. Transcriptome analysis revealed 191 genes significantly modulated in rhabdomyolysis vs control muscles (p<0.05). Many genes involved in the fatty acid oxidation, the TCA cycle and the mitochondrial respiratory chain were severely down-regulated. The muscle fibers were under hypoxia and oxidative stress conditions which stimulated glycolysis. The muscle fiber calcium homeostasis was greatly affected towards an increase of cytoplasmic calcium and a depletion of the sarcoplasmic reticulum calcium. Gene expression analysis revealed an alteration of the aerobic ATP synthesis with a severe mitochondrial dysfunction which could explain the disruption of the cytoplasmic calcium regulation and a muscular relaxation disorder. Total RNA was extracted from the gluteal medius and longissimus lumborum muscles after biopsies in 15 French Trotter horses including 10 controls and 5 RER horses affected by rhabdomyolysis with high plasmatic muscular enzyme activities. Gene expression analysis was performed on the muscle biopsies using a 25K oligonucleotide microarray.
2010-12-15 | E-GEOD-26047 | biostudies-arrayexpress
Project description:The objective of this study was to identify key genes associated with porcine muscle growth and adipose metabolism which different expression in porcine longissimus dorsi muscle tissue among Tibetan Pig, Taihu Pig and Landrace(Month 2), among developmental phases of Tibetan Pig (Month 2,4,6,8). The gene expression analyses will increase understanding of impact factors of pork quality by identifying key genes and pathways controlling longissimus dorsi muscle development. Relative real-time RT-PCR was used to confirm differential expression of 5 different expression genes(PPARGC1A, RYR1, IGF2, IGF1R and IGFBP5) which normalized by 3 housekeep genes(ACTB, TBP and TOP2B). Keywords: breed comparison and time course
2008-05-15 | GSE7858 | GEO