Ontology highlight
ABSTRACT:
PROVIDER: PRJNA1100451 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Temperature-dependence of spontaneous mutation rates
| PRJEB44550 | ENA
Project description:Pancreatic cancer is among the deadliest cancers that affects almost 54,000 patients in United States alone, with 90% of them succumbing to the disease. Lack of early detection is considered to be the foremost reason for such dismal survival rates. Our study shows that resident gut microbiota is altered at the early stages of tumorigenesis much before development of observable tumors in a spontaneous, genetically engineered mouse model for pancreatic cancer. In the current study, we analyzed the microbiome of in a genetic mouse model for PDAC (KRASG12DTP53R172HPdxCre or KPC) and age-matched controls using WGS at very early time points of tumorigenesis. During these time points, the KPC mice do not show any detectable tumors in their pancreas. Our results show that at these early time points, the histological changes in the pancreas correspond to a significant change in certain gut microbial population. Our predictive metabolomic analysis on the identified bacterial species reveal that the primary microbial metabolites involved in progression and development of PDAC tumors are involved in polyamine metabolism.
2019-07-07 | E-MTAB-6921 | biostudies-arrayexpress
Project description:We harvested and sequenced the spontaneous pancreatic tumor generated by a 6-month-old KPC mouse (KrasLSL-G12D; Trp53LSL-R172H; Ptf1a-Cre).
2022-10-04 | GSE202651 | GEO
Project description:We have conducted a genome-wide analysis of spontaneous copy number variation (CNV) in the laboratory mouse. We used high resolution microarrays to identify 38 CNVs between 14 colonies of the C57BL/6 strain spanning ~967 generations of inbreeding, and examined these loci in 12 additional strains. It is clear from our results that many CNVs arise through a highly non-random process: 18 of 38 were the product of recurrent mutation, and rates of change vary roughly four orders of magnitude across different loci. These recurrent CNVs are distributed throughout the genome, affect 43 genes, and fluctuate in copy number over mere hundreds of generations, observations that raise questions about their contribution to natural variation. Keywords: comparative genomic hybridization, DNA copy number variation, structural variation, inbred mice, spontaneous mutation rate
2007-10-28 | GSE8885 | GEO
Project description:We have conducted a genome-wide analysis of spontaneous copy number variation (CNV) in the laboratory mouse. We used high resolution microarrays to identify 38 CNVs between 14 colonies of the C57BL/6 strain spanning ~967 generations of inbreeding, and examined these loci in 12 additional strains. It is clear from our results that many CNVs arise through a highly non-random process: 18 of 38 were the product of recurrent mutation, and rates of change vary roughly four orders of magnitude across different loci. These recurrent CNVs are distributed throughout the genome, affect 43 genes, and fluctuate in copy number over mere hundreds of generations, observations that raise questions about their contribution to natural variation. Keywords: Representational oligonucleotide microarray analysis, comparative genomic hybridization, DNA copy number variation, structural variation, inbred mice, spontaneous mutation rate
2007-10-28 | GSE8980 | GEO
Project description:To investigate the transcriptomic effects of iASPP deletion or p53 mutation in the KRASG12D background Pdx1-Cre was used to delete iASPP in oncogenic KRASG12D expressing (KC) background to generate KC;iASPPΔ8/Δ8 mice. KC and KC;iASPPΔ8/Δ8 mice were then crossed with mice containing a p53R172H allele (equivalent to human p53 hotspot mutation R175H) to generate KPC and KPC;iASPPΔ8/Δ8 cohorts. Primary cell cultures were then derived from pancreatic ductal adenocarcinoma tissue for RNA-seq.
2023-07-06 | GSE226595 | GEO