Variation in histone configurations correlates with gene expression across nine inbred strains of mice [RNA-seq]
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA883383 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Variation in histone configurations correlates with gene expression across nine inbred strains of mice
| PRJNA883381 | ENA
Project description:Variation in histone configurations correlates with gene expression across nine inbred strains of mice [RRBS]
| PRJNA883385 | ENA
Project description:Variation in histone configurations correlates with gene expression across nine inbred strains of mice [ChIP-seq]
| PRJNA883387 | ENA
Project description:It is well established that epigenetic features, such as histone modifications and DNA methylation, are associated with gene expression across cell types. However, it is not well known how variation in genotype affects epigenetic state, or to what extent such variation contributes to variation in gene expression across genetically distinct individuals. Here we investigated the relationship between heritable epigenetic variation and gene expression in hepatocytes across nine inbred mouse strains. Eight of the inbred strains were founders of the diversity outbred (DO) mice, and the ninth was DBA/2J, which, along with C57BL/6J, is one of the founders of the BxD recombinant inbred panel of mice. We surveyed four histone modifications, H3K4me1, H3K4me3, H3K27me3 and H3K27ac, as well as DNA methylation. We used ChromHMM to identify 14 chromatin states representing distinct combinations of the four measured histone modifications. We found that variation in chromatin state mirrored genetic variation across the inbred strains. Furthermore, epigenetic variation was correlated with gene expression across strains. The correspondence between epigenetic state and gene expression was replicated in an independent population of DO mice in which we imputed local epigenetic state. In contrast, we found that DNA methylation did not vary across inbred strains and was not correlated with variation in expression in DO mice. This work suggests that chromatin state is highly influenced by local genotype and may be a primary mode through which expression quantitative trait loci (eQTLs) are mediated. We further demonstrate that strain variation in chromatin state, paired with gene expression is useful for annotation of functional regions of the mouse genome. Finally, we provide a data resource that documents variation in chromatin state across genetically distinct individuals.
2022-09-25 | GSE213967 | GEO
Project description:It is well established that epigenetic features, such as histone modifications and DNA methylation, are associated with gene expression across cell types. However, it is not well known how variation in genotype affects epigenetic state, or to what extent such variation contributes to variation in gene expression across genetically distinct individuals. Here we investigated the relationship between heritable epigenetic variation and gene expression in hepatocytes across nine inbred mouse strains. Eight of the inbred strains were founders of the diversity outbred (DO) mice, and the ninth was DBA/2J, which, along with C57BL/6J, is one of the founders of the BxD recombinant inbred panel of mice. We surveyed four histone modifications, H3K4me1, H3K4me3, H3K27me3 and H3K27ac, as well as DNA methylation. We used ChromHMM to identify 14 chromatin states representing distinct combinations of the four measured histone modifications. We found that variation in chromatin state mirrored genetic variation across the inbred strains. Furthermore, epigenetic variation was correlated with gene expression across strains. The correspondence between epigenetic state and gene expression was replicated in an independent population of DO mice in which we imputed local epigenetic state. In contrast, we found that DNA methylation did not vary across inbred strains and was not correlated with variation in expression in DO mice. This work suggests that chromatin state is highly influenced by local genotype and may be a primary mode through which expression quantitative trait loci (eQTLs) are mediated. We further demonstrate that strain variation in chromatin state, paired with gene expression is useful for annotation of functional regions of the mouse genome. Finally, we provide a data resource that documents variation in chromatin state across genetically distinct individuals.
2022-09-25 | GSE213965 | GEO
Project description:It is well established that epigenetic features, such as histone modifications and DNA methylation, are associated with gene expression across cell types. However, it is not well known how variation in genotype affects epigenetic state, or to what extent such variation contributes to variation in gene expression across genetically distinct individuals. Here we investigated the relationship between heritable epigenetic variation and gene expression in hepatocytes across nine inbred mouse strains. Eight of the inbred strains were founders of the diversity outbred (DO) mice, and the ninth was DBA/2J, which, along with C57BL/6J, is one of the founders of the BxD recombinant inbred panel of mice. We surveyed four histone modifications, H3K4me1, H3K4me3, H3K27me3 and H3K27ac, as well as DNA methylation. We used ChromHMM to identify 14 chromatin states representing distinct combinations of the four measured histone modifications. We found that variation in chromatin state mirrored genetic variation across the inbred strains. Furthermore, epigenetic variation was correlated with gene expression across strains. The correspondence between epigenetic state and gene expression was replicated in an independent population of DO mice in which we imputed local epigenetic state. In contrast, we found that DNA methylation did not vary across inbred strains and was not correlated with variation in expression in DO mice. This work suggests that chromatin state is highly influenced by local genotype and may be a primary mode through which expression quantitative trait loci (eQTLs) are mediated. We further demonstrate that strain variation in chromatin state, paired with gene expression is useful for annotation of functional regions of the mouse genome. Finally, we provide a data resource that documents variation in chromatin state across genetically distinct individuals.
2022-09-25 | GSE213966 | GEO
Project description:This SuperSeries is composed of the SubSeries listed below.
2022-09-25 | GSE213968 | GEO
Project description:Variation in gene expression profiles was determined between mouse inbred strains in hindlimb muscle tissue. Strains under investigation were: C57Bl/6, C57Bl/10, CBA, DBA2, and BALB/c. Keywords: other
2003-12-10 | GSE662 | GEO
Project description:In this study expression levels of 732 genes were analyzed for European maize (Zea mays L.) inbred lines (4 Flint and 5 Dent) and nine corresponding hybrids by microarray analysis. The selection of the 732 genes was based on a previous study (Thiemann et al., Theor Appl Genet 2010, 120:401-413), which sequences were derived from the 46k microarray (platform GPL6438) (University of Arizona, USA). 558 of the 732 genes represented on the microarray were differentially expressed between the original 21 parental inbred lines and were correlated with at least one of the three characteristics MPH (mid-parent heterosis) and/or HP (hybrid performance) of the trait GY (grain yield) and/or HP of the trait grain dry matter content. Some of those correlated genes show overlapping correlations. The residual 174 non-correlated genes belong to the top 6 biological processes that were found to be enriched among the HP for GY-correlated genes (Thiemann et al., Theor Appl Genet 2010, 120:401–413). The aim of this study was the identification of the hybrid expression pattern of the subset of genes, which mid-parental expression levels were shown to be correlated with MPH for GY or showed no correlation. For the analysis total RNA of 7-day old seedlings was extracted and amino-allyl-labeled RNA was synthesized. The microarrays were scanned (AppliedPrecision ArrayWorx Scanner, Applied Precision Inc., USA) and data were evaluated using the Software GenePix Pro 4.0 (Molecular Devices, Sunnyvale, USA). Hybridizations were conducted between each pair of parental inbred lines and its corresponding hybrids. In total 4 biological replicates per genotype were analyzed. As a result 119 (22.9 %) of the 519 MPH for GY or non-correlated genes showed differential expression in at least one of the nine inbred-hybrid comparisons. These differentially expressed genes were further analyzed for hybrid expression, resulting in a mainly additive expression. Of all differential expression, additive expression of 86.21 % (with 13.79 % non-additive) of the MPH-correlated genes, and a slightly smaller contingent of 79.66 % (with 20.34 % non-additive) of the non-correlated genes was measured.
2014-04-03 | GSE52411 | GEO
Project description:Variation in gene expression profiles was determined between mouse inbred strains in hindlimb muscle tissue. Strains under investigation were: C57Bl/6, C57Bl/10, CBA, DBA2, and BALB/c.
2003-12-09 | E-GEOD-662 | biostudies-arrayexpress