Epigenetic and transcriptomic characterization of pure adipocyte fractions from obese pigs identifies candidate pathways controlling metabolism
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA563583 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR10059407_1.fastq.gz | Fastqsanger.gz | |||
| SRR10059407_2.fastq.gz | Fastqsanger.gz | |||
| SRR10059408_1.fastq.gz | Fastqsanger.gz | |||
| SRR10059408_2.fastq.gz | Fastqsanger.gz | |||
| SRR10059409_1.fastq.gz | Fastqsanger.gz |
Items per page: 5 1 - 5 of 68 |
Similar Datasets
Project description:Reprogramming of adipocyte function in obesity is implicated in metabolic disorders like type 2 diabetes. Here, we used the pig, an animal model sharing many physiological and pathophysiological similarities with humans, to perform in depth epigenomic and transcriptomic characterization of pure adipocyte fractions. Using a combined DNA methylation capture sequencing and Reduced Representation bisulfite sequencing (RRBS) strategy, we identified 2479 differentially methylated regions (DMRs) located at close proximity to-, or within genes. By sequencing of the transcriptome from the same adipocyte cells, we identified 276 differentially expressed transcripts with at least one or more DMRs. These transcripts were over-represented in gene pathways related to MAPK, insulin and adipocytokine signaling. Using a candidate gene approach, we further characterized 13 genes potentially regulated by DNA methylation and identified putative transcription factor binding sites that could be affected by the differential methylation in obesity. Our data constitute a valuable resource for further investigations aiming to delineate the epigenetic etiology of metabolic disorders.
2019-12-05 | GSE136754 | GEO
Project description:Reprogramming of adipocyte function in obesity is implicated in metabolic disorders like type 2 diabetes. Here, we used the pig, an animal model sharing many physiological and pathophysiological similarities with humans, to perform in-depth epigenomic and transcriptomic characterization of pure adipocyte fractions. Using a combined DNA methylation capture sequencing and Reduced Representation bisulfite sequencing (RRBS) strategy in 11 lean and 12 obese pigs, we identified in 3529 differentially methylated regions (DMRs) located at close proximity to-, or within genes in the adipocytes. By sequencing of the transcriptome from the same fraction of isolated adipocytes, we identified 276 differentially expressed transcripts with at least one or more DMR. These transcripts were over-represented in gene pathways related to MAPK, metabolic and insulin signaling. Using a candidate gene approach, we further characterized 13 genes potentially regulated by DNA methylation and identified putative transcription factor binding sites that could be affected by the differential methylation in obesity. Our data constitute a valuable resource for further investigations aiming to delineate the epigenetic etiology of metabolic disorders.
| S-EPMC6927937 | biostudies-literature
Project description:In order to select mRNA transcripts strongly enriched in murine white adipocytes versus brown adipocytes or stromal-vascular fraction, gene expression data of the adipocyte and stromal-vascular fractions of the interscapular brown, inguinal subcutaneous as well as visceral epididymal adipose tissue depots of young adult male C57BL/6 mice housed at constant 23°C ambient temperature were obtained.
2013-04-27 | GSE44059 | GEO
Project description:In order to select mRNA transcripts strongly enriched in murine white adipocytes versus brown adipocytes or stromal-vascular fraction, gene expression data of the adipocyte and stromal-vascular fractions of the interscapular brown, inguinal subcutaneous as well as visceral epididymal adipose tissue depots of young adult male C57BL/6 mice housed at constant 23°C ambient temperature were obtained. 18 samples: 3 different adipose tissues separated into stromal-vascular fraction and adipocytes, analyzed in biological triplicates.
2013-04-27 | E-GEOD-44059 | biostudies-arrayexpress
Project description:Methylophilus sp. 'Pure River' Genome sequencing
| PRJNA1180274 | ENA
Project description:In the present study, we conducted transcriptomics on skeletal muscle from 6-month-old UCP1 KI and wild-type (WT) pigs to explore the transcriptional programs induced by adipocyte-specific UCP1 overexpression in skeletal muscle
2022-02-02 | GSE189334 | GEO
Project description:We studied the influence of genetic type (pure Iberian pigs vs crossbred with Duroc) on l.dorsi transcriptome Background: The two main genetic types in Iberian pig production show important phenotypic differences in growth, fattening and tissue composition since early developmental stages. The objective of this work was the evaluation of muscle transcriptome profile in young animals of both genetic types, in order to identify genes, pathways and transcription factors responsible of their phenotypic differences. Contemporary families coming from pure Iberian pigs (IB) or from crossing with Duroc boars (DUxIB) were generated. Piglets (14 from each genetic type) were sacrificed at weaning (28 days) and longissimus dorsi muscle was sampled for composition and gene expression studies. RNA was obtained and hybridized to Affymetrix Porcine Genechip expression arrays. Results: Loin muscle composition showed significant differences between genetic types in intramuscular fat content (6% vs. 4.2% in IB and DUxIB animals, respectively, P=0.009) and in saturated and monounsaturated fatty acid contents (P=0.019 and P=0.044, respectively). Statistical analysis of gene expression data allowed the identification of 256 differentially expressed (DE) genes between genetic types (FDR<0.10), 102 upregulated in IB and 154 upregulated in DUxIB. The size of the effects ranged between 1.2x and 7.8x. Transcript differences were validated for a subset of DE genes by qPCR. Some candidate genes with known effects on muscle growth were found among the DE genes upregulated in DUxIB (IGF2, collagens, integrins). Genes related to lipid metabolism and proteolysis were found among the genes upregulated in IB (ME1, ELOVL6, caspases, catepsins, ubiquitination proteins). We observed alteration in biological functions related to extracellular matrix organization, cellular adhesion, muscle growth and lipid metabolism. Transcription factors (TF) potentially involved in the expression differences found were identified by calculating the regulatory impact factors (RIF). Sixteen TF were found, some of them with known relationship with muscle development (MSTN, SIX4), adipogenesis (CEBPD, PPARGC1B), or extracellular matrix processes (MAX, MXI1). Correlation among the expression of these TF and DE genes show relevant differences between genetic types. Conclusion: The results contribute valuable information about molecular mechanisms determining the phenotypic differences of growth and meat quality between the genetic types studied, mainly related to the development and function of the extracellular matrix and also to some metabolic processes as proteolysis and lipid metabolism. 28 male piglets were employed. 14 animals coming for pure Iberian parents and 14 coming from the crossing of Duroc boars with Iberian sows. Animals were sacrificed at 28 d of age. At the sacrifice, longissimus dorsi muscle tissue was sampled from each animal.
2014-06-11 | E-GEOD-53029 | biostudies-arrayexpress
Project description:We studied the influence of genetic type (pure Iberian pigs vs crossbred with Duroc) on l.dorsi transcriptome Background: The two main genetic types in Iberian pig production show important phenotypic differences in growth, fattening and tissue composition since early developmental stages. The objective of this work was the evaluation of muscle transcriptome profile in young animals of both genetic types, in order to identify genes, pathways and transcription factors responsible of their phenotypic differences. Contemporary families coming from pure Iberian pigs (IB) or from crossing with Duroc boars (DUxIB) were generated. Piglets (14 from each genetic type) were sacrificed at weaning (28 days) and longissimus dorsi muscle was sampled for composition and gene expression studies. RNA was obtained and hybridized to Affymetrix Porcine Genechip expression arrays. Results: Loin muscle composition showed significant differences between genetic types in intramuscular fat content (6% vs. 4.2% in IB and DUxIB animals, respectively, P=0.009) and in saturated and monounsaturated fatty acid contents (P=0.019 and P=0.044, respectively). Statistical analysis of gene expression data allowed the identification of 256 differentially expressed (DE) genes between genetic types (FDR<0.10), 102 upregulated in IB and 154 upregulated in DUxIB. The size of the effects ranged between 1.2x and 7.8x. Transcript differences were validated for a subset of DE genes by qPCR. Some candidate genes with known effects on muscle growth were found among the DE genes upregulated in DUxIB (IGF2, collagens, integrins). Genes related to lipid metabolism and proteolysis were found among the genes upregulated in IB (ME1, ELOVL6, caspases, catepsins, ubiquitination proteins). We observed alteration in biological functions related to extracellular matrix organization, cellular adhesion, muscle growth and lipid metabolism. Transcription factors (TF) potentially involved in the expression differences found were identified by calculating the regulatory impact factors (RIF). Sixteen TF were found, some of them with known relationship with muscle development (MSTN, SIX4), adipogenesis (CEBPD, PPARGC1B), or extracellular matrix processes (MAX, MXI1). Correlation among the expression of these TF and DE genes show relevant differences between genetic types. Conclusion: The results contribute valuable information about molecular mechanisms determining the phenotypic differences of growth and meat quality between the genetic types studied, mainly related to the development and function of the extracellular matrix and also to some metabolic processes as proteolysis and lipid metabolism.
2014-06-11 | GSE53029 | GEO
Project description:Expression data derived from this analysis was used to compare expression features of pure bladder SCC and MIBC non-SD samples In this dataset, we include the expression data obtained from 16 Pure SCC and 18 MIBC non-SD samples
2022-04-13 | GSE186691 | GEO