Unknown,Transcriptomics,Genomics,Proteomics

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Pre-Collaborative Cross liver gene expression

ABSTRACT: The Collaborative Cross (CC) recombinant inbred panel was conceived as an ideal resource for mammalian system genetics. The pre-CC is a proof-of-concept experiment involving CC lines that have undergone at least five generations of inbreeding. Siblings from these lines were each involved in one of four distinct phenotyping arms, then genotyped on a high-density Affymetrix platform. The genetic profile of these emerging lines reveals high diversity, balanced allele frequencies, and well-distributed recombination – all ideal qualities for a mapping panel. We have mapped white spot, a discrete trait; body weight, a highly polygenic complex trait; and more than 11,000 liver gene expression traits. These analyses provide a glimpse of the potential mapping power and resolution of the CC. The goal of this project was to identify eQTLs for genome-wide gene expression from liver tissue in pre-CC mice. Gene expression profiling from liver tissue from pre-CC males. Pre-Collaborative Cross (CC) mice are partially inbred strains created by intercrossing eight founder (parental) strains: 129S1/SvImJ, (129S1), A/J (AJ), C57BL/6J (B6), CAST/Ei (CAST), NOD/LtJ (NOD), NZO/H1LtJ (NZO), PWK/Ph (PWK), and WSB/Ei (WSB). Sister-brother mating in 220 families was done for 4-11 generations. One animal was sampled from 157 pre-CC strain. Hybridizations were performed at the Gene Expression Core Facility at The Jackson Laboratory. Samples were divided in six batches of about 11 to 24 samples. Two batches were performed per day. Probe-level data was summarized by a custom CDF file based on Ensembl genes (NCBI 37, Ensembl 49; htttp://brainarray.mbni.med.umich.edu). The parental strains are not part of this submission.

ORGANISM(S): Mus musculus

SUBMITTER: Ricardo Verdugo

PROVIDER: E-GEOD-22297 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Project description:The collaborative cross (CC) founder strains include five classical inbred laboratory strains (129S1/SvlmJ, A/J, C57BL/6J (B6), NOD/ShiLtJ, and NZO/HILtJ) and three wild-derived strains (CAST/EiJ, PWK/PhJ (PWK) and WSB/EiJ) The strains encompass 89% of the genetic diversity available in Mus musculus and about 10 to 20 times more genetic diversity than found in Homo sapiens. For more than 60 years the B6 strain has been used as the model strain for high ethanol preference/high consumption. However, another one of the CC founder strains, PWK, was identified as a high ethanol preference/high consumption strain. The current study determined how the transcriptomes of the B6 and PWK strains differed from the 6 low preference CC strains across 3 nodes of the brain addiction circuit. RNA-Seq data were collected from the central nucleus of the amygdala, the nucleus accumbens core and the prelimbic cortex. Differential expression (DE) analysis was performed in each of these brain regions for all 28 possible pairwise comparisons of the CC founder strains. Unique genes for each strain were identified by selecting for genes that differed significantly (false discovery rate (FDR) < 0.05) from all other strains in the same direction. B6 was identified as the most distinct inbred laboratory strain, having the highest number of total differently expressed genes (DEGs) and DEGs with high log fold change, and unique genes compared to other CC strains. Less than 50 unique DEGs were identified in common between B6 and PWK within all three brain regions, indicating the strains potentially represent two distinct genetic signatures for risk for high ethanol-preference. 238 DEGs were found to be commonly different between B6, PWK and the average expression of the remaining CC strains within all three regions. The commonly different up-expressed genes were significantly enriched (FDR < 0.001) among genes associated with neuroimmune function. These data compliment the observation that neuroimmune signaling is key to understanding alcohol use disorder and and support use of these 8 strains and the highly heterogeneous mouse populations derived from them to identify alcohol-related brain mechanisms and treatment targets.

Project description:Purpose: To investigate the diet- or strain-dependence of liver transcriptome in eight Diversity Outbred (DO) founder strains [A/J, C57BL/6J (B6), 129S1/SvImJ (129), NOD/ShiLtJ (NOD), NZO/HILtJ (NZO), and three wild-derived strains CAST/EiJ (CAST), PWK/PhJ (PWK), and WSB/EiJ (WSB)] Methods: Total RNA from eight DO founder strains was extracted from snap frozen liver using Maxwell® 16 LEV simplyRNA Tissue Kit (Promega) according to the manufacturer’s protocol. The quality and amount of liver RNA was evaluated using a qubit RNA assay (Invitrogen R11490) and run on an Biorad Bioanalyzer Chip to verify RNA integrity. RNASeq library was prepared by using Illumina TruSeq RNA library construction protocol. RNA samples from 24 mice-fed AIN-93 M diet and 24 mice-fed HFCA diet were submitted to the David H. Murdock Research Institute (DHMRI) for sequencing. The RNA-seq libraries were constructed from 1 µg total RNA after poly-A library preparation. The pooled libraries were sequenced on two lanes of the Illumina HiSeq2500 Instrument. Results: Our liver transcriptomic analysis of eight mouse strains shows that diet and genetic background have a strong effect on the liver transcriptome, which may be related to differences in cardo-metabolic traits. We calculated a gene module consisting of highly correlated transcripts that enriched the biological pathway and provided a searchable database of liver transcript profiles. To further investigate the association of hepatic gene modules with cardio-metabolic traits, Fmo3, a key enzyme in the production of trimethylamine N-oxide (TMAO), and Nox4, which showed strong association with plasma TMAO and liver triglyceride, were identified as the highest expressed in the laboratory-like inbred strains (B6, 129 and NZO) and the lowest expressed transcripts in the CAST strain. We found differences in the production of TMAO and liver triglyceride, which contributes to metabolic syndrome, depending on genetic backgrounds. Conclusions: Our study provide a valuable data resource to the research community and show that liver transcriptomic analysis identified diet- or strain-specific pathways to pathogenesis of metabolic syndrome.

Project description:Endoplasmic reticulum (ER) stress occurs when misfolded proteins accumulate in the ER. The cellular response to ER stress involves complex transcriptional and translational changes, important to the survival of the cell. ER stress is a primary cause and a modifier of many human diseases. A first step to understanding how the ER stress response impacts human disease is to determine how the transcriptional response to ER stress varies among individuals. The genetic diversity of the eight mouse Collaborative Cross (CC) founder strains allowed us to determine how genetic variation impacts the ER stress transcriptional response. We used tunicamycin, a drug commonly used to induce ER stress, to elicit an ER stress response in mouse embryonic fibroblasts (MEFs) derived from the CC founder strains and measured their transcriptional responses. We identified hundreds of genes that differed in response to ER stress across these genetically diverse strains. Strikingly, inflammatory response genes differed most between strains; major canonical ER stress response genes showed relatively invariant responses across strains. To uncover the genetic architecture underlying these strain differences in ER stress response, we measured the transcriptional response to ER stress in MEFs derived from a subset of F1 crosses between the CC founder strains. We found a unique layer of regulatory variation that is only detectable under ER stress conditions. Over 80% of the regulatory variation under ER stress derives from cis-regulatory differences. This is the first study to characterize the genetic variation in ER stress transcriptional response in the laboratory mouse. Our findings indicate that the ER stress transcriptional response is highly variable among strains and arises from genetic variation in individual downstream response genes, rather than major signaling transcription factors. These results have important implications for understanding how genetic variation impacts the ER stress response, an important component of many human diseases. We investigated the genetic variation in ER stress transcriptional response in mouse embryonic fibroblasts (MEFs) across eight mouse strains: A/J, C57BL/6J, 129S1Sv/ImJ, NOD/ShiLtJ, NZO/H1LtJ, CAST/EiJ, PWK/PhJ, and WSB/EiJ. MEFs from each strain were treated with a control DMSO or ER stress-inducing drug, Tunicamycin (TM). To identify the genetic architecture underlying this genetic variation, MEFs from F1 strains were also studied. MEFs from the following F1s were evaluated: C57BL/6J X CAST/EiJ, C57BL/6J X 129S1Sv/ImJ, C57BL/6J X NOD/ShiLtJ, C57BL/6J X NZO/H1LtJ, and C57BL/6J X WSB/EiJ. Again F1 MEFS were treated with either DMSO or TM. There are two or three replicates for each sample.

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Pre-Collaborative Cross liver gene expression

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