EQTL mapping of fetal-like pancreatic progenitor cells
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ABSTRACT:
PROVIDER: PRJNA757719 | ENA |
REPOSITORIES: ENA
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Project description:The goal of this study is to understand the effects of genetic variation on gene expression in fetal-like pancreatic progenitor cells. We generated bulk RNA-seq from 107 iPSC-derived pancreatic progenitor cells (iPSC-PPC) from iPSC lines derived from 106 individuals from the iPSCORE resource. We then conducted genome-wide expression quantitative trait loci analyses to identify genetic variants associated with gene expression and isoform usage.
2023-10-03 | GSE182758 | GEO
Project description:Mapping of expression quantitative trait loci (eQTL) is a powerful means for elucidating the genetic architecture of gene regulation. Yet, eQTL mapping has not been applied towards investigating the regulation architecture of genes involved in the process of population divergence, ultimately leading to speciation events. Here, we conducted an eQTL mapping experiment to compare the genetic architecture of transcript regulation in adaptive traits differentiating the recently evolved limnetic (dwarf) and benthic (normal) species pairs of lake whitefish. The eQTL were mapped in three data sets derived from a F1 hybrid-dwarf backcrossed family: the entire set of 66 genotyped individuals, and the two sexes treated separately. We identified strikingly more eQTL in the female dataset (174), compared to both male (54) and combined (33) data sets. The majority of these genes were not differentially expressed between male and female progeny of the backcross family, thus providing evidence for a strong pleiotropic sex-linked effect in transcriptomic regulation. The subtelomeric region of a linkage group segregating in females encompassed more than 50% of all eQTL, which exhibited the most pronounced additive effects. We also conducted a direct comparison of transcriptomic profiles between pure dwarf and normal progeny reared in controlled conditions. We detected 34 differentially expressed transcripts associated with eQTL segregating only in sex-specific data-sets, and mostly belonging to functional groups that differentiate dwarf and normal whitefish in natural populations. Therefore, these eQTL are not related to inter-individual variation, but instead to the adaptive and historical genetic divergence between dwarf and normal whitefish. This study exemplifies how the integration of genetic and transcriptomic data offers a strong means for dissecting the functional genomic response to selection by separating mapping family specific effects from genetic factors under selection, potentially involved in the phenotypic divergence of natural populations. Keywords: eQTL mapping
2008-09-01 | GSE11378 | GEO
Project description:Mapping of expression quantitative trait loci (eQTL) is a powerful means for elucidating the genetic architecture of gene regulation. Yet, eQTL mapping has not been applied towards investigating the regulation architecture of genes involved in the process of population divergence, ultimately leading to speciation events. Here, we conducted an eQTL mapping experiment to compare the genetic architecture of transcript regulation in adaptive traits differentiating the recently evolved limnetic (dwarf) and benthic (normal) species pairs of lake whitefish. The eQTL were mapped in three data sets derived from a F1 hybrid-dwarf backcrossed family: the entire set of 66 genotyped individuals, and the two sexes treated separately. We identified strikingly more eQTL in the female dataset (174), compared to both male (54) and combined (33) data sets. The majority of these genes were not differentially expressed between male and female progeny of the backcross family, thus providing evidence for a strong pleiotropic sex-linked effect in transcriptomic regulation. The subtelomeric region of a linkage group segregating in females encompassed more than 50% of all eQTL, which exhibited the most pronounced additive effects. We also conducted a direct comparison of transcriptomic profiles between pure dwarf and normal progeny reared in controlled conditions. We detected 34 differentially expressed transcripts associated with eQTL segregating only in sex-specific data-sets, and mostly belonging to functional groups that differentiate dwarf and normal whitefish in natural populations. Therefore, these eQTL are not related to inter-individual variation, but instead to the adaptive and historical genetic divergence between dwarf and normal whitefish. This study exemplifies how the integration of genetic and transcriptomic data offers a strong means for dissecting the functional genomic response to selection by separating mapping family specific effects from genetic factors under selection, potentially involved in the phenotypic divergence of natural populations. Keywords: eQTL mapping Dissected white muscle tissue (250-350 mg) was sampled for 76 individuals from the hybrid x dwarf backcross mapping family. We used a loop design (YANG and SPEED 2002; CHURCHILL 2002) to maximize the number of sampled meioses. Each of 76 samples was technically replicated on two distinct slides, while performing dye swapping (Cy3 and Alexa) to estimate the dye intensity variation bias. After correcting for local background, raw intensity values were both log2 transformed and normalized using the regional LOWESS method implemented in the R/MANOVA software (KERR et al. 2000). The design file used for the maanova analysis is linked below as a supplementary file.
2008-09-01 | E-GEOD-11378 | biostudies-arrayexpress
Project description:eQTL mapping in a F1 diversity panel generated from 111 A.thaliana natural accessions
2011-03-01 | GSE23912 | GEO
Project description:A dataset of ~600 RIL crosses using RILs from the Drosophila Synthetic Population Resource to be used for genomewide eQTL mapping. All samples are from female heads.
2013-11-06 | GSE52076 | GEO
Project description:In a previous study, we identified extensive natural variation in the response to acute ethanol treatment in three yeast strains: a lab strain derived from the commonly used S288c (DBY8268), vineyard isolate M22, and oak soil strain YPS163. Many expression differences persisted across several modules of co-regulated genes, implicating trans-acting systemic differences in ethanol sensing and/or response. To understand the genetic basis for these expression differences, we performed eQTL mapping analysis of the response to acute ethanol stress in ~100 F2 strains from two crosses: DBY8268x M22 and DBY8268 x YPS163. We measured the gene expression response to acute ethanol stress (5% for 30 min) in 6 replicates for the parental strains, and in biological duplicate for the eQTL mapping population. Dye swaps were performed in the replicates to control for dye-specific effects.
2014-10-02 | E-GEOD-54196 | biostudies-arrayexpress
Project description:Quantitative proteomic analysis of mouse fetal and adult hematopoietic progenitor cells using TMT6plex and an SPS-MS3 method.
2020-07-02 | MSV000085672 | MassIVE
Project description:A dataset of ~600 RIL crosses using RILs from the Drosophila Synthetic Population Resource to be used for genomewide eQTL mapping. All samples are from female heads. 54 arrays with 12 samples per array resulting in data for 596 RIL crosses.
2013-11-06 | E-GEOD-52076 | biostudies-arrayexpress
Project description:eQTL mapping in a F1 diversity panel generated from 111 A.thaliana natural accessions 57 F1 lines without replicates, the 5th or 6th true leaf
2011-03-01 | E-GEOD-23912 | biostudies-arrayexpress
Project description:The goal of this study is to molecularly characterize regulatory variation in pancreatic progenitor cells (PPC). Here, we derived PPC from iPSCs of nine iPSCORE individuals (DeBoever et al., 2017; Panopoulos et al., 2017), and generated RNA-seq, ATAC-seq, scRNA-seq, and snATAC-seq. We strive to understand the role of functional genetic variation during fetal pancreatic development that later give rise to adult pancreatic diseases.
2022-12-02 | GSE152610 | GEO