Characterization of a strain-specific Cd1 reference genome reveals potential inter- and intra-strain functional variability [ATAC-seq]
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ABSTRACT:
ORGANISM(S): Mus musculus
PROVIDER: GSE209810 | GEO | 2023/06/08
REPOSITORIES: GEO
Similar Datasets
Project description:Characterization of a strain-specific Cd1 reference genome reveals potential inter- and intra-strain functional variability
2023-06-08 | GSE209815 | GEO
Project description:This SuperSeries is composed of the SubSeries listed below.
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Project description:We extracted RNA from C57BL/6 mouse neutrophils to measure inter-individual variability in gene expression. 5 of the 10 blood samples were analyzed separately, the other 5 were pooled then split into 5 technical replicates to measure technical variability. We could then measure inter-individual variability in gene expression and compare it to the amplitude of miRNA-guided repression by miR-223.
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Project description:A fundamental question in biology is how gene expression is regulated to give rise to a phenotype. However, transcriptional variability is rarely considered and could influence the relationship between genotype and phenotype. It is known in unicellular organisms that gene expression is often noisy rather than uniform and has been proposed to be beneficial when environmental conditions are unpredictable. However, little is known about transcriptional variability in multicellular organisms. Using transcriptomic approaches, we analysed gene expression variability over a 24 hours time-course between individual Arabidopsis thaliana plants growing in stable conditions. We identified hundreds of genes that exhibit high inter-individual variability and found that many are involved in environmental responses. We also identified factors that might facilitate gene expression variability, such as gene size, the number of transcription factors regulating a gene and the chromatin environment. These results will bring a new light into the impact of transcriptional variability in gene expression regulation in plants.
2018-12-06 | GSE115583 | GEO
Project description:Widespread inter-individual gene expression variability in Arabidopsis thaliana
| PRJNA475542 | ENA
Project description:Genetic variation is known to influence the amount of mRNA produced by a gene. Because molecular machines control mRNA levels of multiple genes, we expect genetic variation in components of these machines would influence multiple genes in a similar fashion. We show that this assumption is correct by using correlation of mRNA levels measured from multiple tissues in mouse strain panels to detect shared genetic influences. These correlating groups of genes (CGGs) have collective properties that on average account for 52â79% of the variability of their constituent genes and can contain genes that encode functionally related proteins. We show that the genetic influences are essentially tissue-specific and, consequently, the same genetic variations in one animal may upregulate a CGG in one tissue but downregulate the CGG in a second tissue. We further show similarly paradoxical behaviour of CGGs within the same tissues of different individuals. Thus, this class of genetic variation can result in complex inter- and intra-individual differences. This will create substantial challenges in humans, where multiple tissues are not readily available. Each sample is a single hybridisation from a given BxD strain to a C57BL/6J reference sample. Two-colour glass arrays were used. No dye swaps were employed. Data from whole brain.
2010-06-25 | E-GEOD-8355 | biostudies-arrayexpress
Project description:Genetic variation is known to influence the amount of mRNA produced by a gene. Because molecular machines control mRNA levels of multiple genes, we expect genetic variation in components of these machines would influence multiple genes in a similar fashion. We show that this assumption is correct by using correlation of mRNA levels measured from multiple tissues in mouse strain panels to detect shared genetic influences. These correlating groups of genes (CGGs) have collective properties that on average account for 52â79% of the variability of their constituent genes and can contain genes that encode functionally related proteins. We show that the genetic influences are essentially tissue-specific and, consequently, the same genetic variations in one animal may upregulate a CGG in one tissue but downregulate the CGG in a second tissue. We further show similarly paradoxical behaviour of CGGs within the same tissues of different individuals. Thus, this class of genetic variation can result in complex inter- and intra-individual differences. This will create substantial challenges in humans, where multiple tissues are not readily available. Common reference design where each hybridisation compares a single BxD strain to a common reference of C57BL/6J in the green channel. Two-colour, spotted glass arrays were used. No dye swaps were employed.
2010-06-25 | E-GEOD-8356 | biostudies-arrayexpress
Project description:Genetic variation is known to influence the amount of mRNA produced by a gene. Because molecular machines control mRNA levels of multiple genes, we expect genetic variation in components of these machines would influence multiple genes in a similar fashion. We show that this assumption is correct by using correlation of mRNA levels measured from multiple tissues in mouse strain panels to detect shared genetic influences. These correlating groups of genes (CGGs) have collective properties that on average account for 52–79% of the variability of their constituent genes and can contain genes that encode functionally related proteins. We show that the genetic influences are essentially tissue-specific and, consequently, the same genetic variations in one animal may upregulate a CGG in one tissue but downregulate the CGG in a second tissue. We further show similarly paradoxical behaviour of CGGs within the same tissues of different individuals. Thus, this class of genetic variation can result in complex inter- and intra-individual differences. This will create substantial challenges in humans, where multiple tissues are not readily available.
2009-05-19 | GSE8356 | GEO
Project description:Genetic variation is known to influence the amount of mRNA produced by a gene. Because molecular machines control mRNA levels of multiple genes, we expect genetic variation in components of these machines would influence multiple genes in a similar fashion. We show that this assumption is correct by using correlation of mRNA levels measured from multiple tissues in mouse strain panels to detect shared genetic influences. These correlating groups of genes (CGGs) have collective properties that on average account for 52–79% of the variability of their constituent genes and can contain genes that encode functionally related proteins. We show that the genetic influences are essentially tissue-specific and, consequently, the same genetic variations in one animal may upregulate a CGG in one tissue but downregulate the CGG in a second tissue. We further show similarly paradoxical behaviour of CGGs within the same tissues of different individuals. Thus, this class of genetic variation can result in complex inter- and intra-individual differences. This will create substantial challenges in humans, where multiple tissues are not readily available.
2009-05-19 | GSE8355 | GEO
Project description:Mus musculus strain:CD1 Transcriptome or Gene expression
| PRJNA178181 | ENA