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Maser, R. S.

Publications and source records attributed to Maser, R. S..

3 recordsLinked to original sources

Cell-type Specific Alteration of Dicer1 Accelerates Tumor Progression in Mouse Models of KRAS-driven Lung Adenocarcinoma

MicroRNAs (miRNAs) have been widely implicated in cancer initiation and progression, yet examination of the effects of global miRNA disruption on these processes has been limited. We developed novel genetically engineered mouse models of Kras-driven pulmonary adenocarcinoma (LUAD) with cell-type-specific disruption of miRNA biosynthesis via Dicer1 allele deletion, which exhibit significant differences in tumor progression rates and expected survival. Dicer1 is an RNase III enzyme that is required for the biogenesis of mature, functional miRNAs. Lung tumor progression was accelerated, and expected survival was decreased only when we initiated tumors and deleted one allele of Dicer1 in club cells and mutated Dicer1 in alveolar type 2 (AT2) cells. Reversing the cell types by inducing tumorigenesis, deleting one Dicer1 allele in AT2 cells, and mutating Dicer1 in club cells modestly accelerated tumor progression and had no effect on expected survival. Collectively, our results demonstrate that Dicer1 disruption accelerates lung cancer progression in a cell-type-dependent and non-cell-autonomous manner, and our mice represent tools for investigating the roles of miRNAs and miRNA-mediated intercellular communication in tumor progression. SummaryKras-driven mouse models show that Dicer1 mutations accelerate lung adenocarcinoma (LUAD) progression in a cell-type-dependent manner and suggest that the influence of miRNA-mediated intercellular communication is unidirectional and non-cell-autonomous.

cancer biology↗

RNA Immunoprecipitation and Sequencing of Isolated RNAs (RIP-SIR) Identifies Endogenous miRNA-Target Interactions

MicroRNAs (miRNAs) are crucial post-transcriptional regulators of gene expression in species ranging from plants to mammals. Unraveling the complex networks of miRNA-mediated regulation of gene expression requires the ability to identify the mRNA targets of individual miRNAs in native cellular contexts. Here we describe RIP-SIR, an unbiased genome-wide method for identifying interactions between endogenous miRNAs and their targets in almost any tissue or cell type.

molecular biology↗

Genetic mapping in Diversity Outbred mice identifies a Trpa1 variant influencing late phase formalin response

Identification of genetic variants that influence susceptibility to chronic pain is key to identifying molecular mechanisms and targets for effective and safe therapeutic alternatives to opioids. To identify genes and variants associated with chronic pain, we measured late phase response to formalin injection in 275 male and female Diversity Outbred (DO) mice genotyped for over 70 thousand SNPs. One quantitative trait locus (QTL) reached genome-wide significance on chromosome 1 with a support interval of 3.1 Mb. This locus, Nociq4 (nociceptive sensitivity inflammatory QTL 4; MGI:5661503), harbors the well-known pain gene Trpa1 (transient receptor potential cation channel, subfamily A, member 1). Trpa1 is a cation channel known to play an important role in acute and chronic pain in both humans and mice. Analysis of DO founder strain allele effects revealed a significant effect of the CAST/EiJ allele at Trpa1, with CAST/EiJ carrier mice showing an early, but not late, response to formalin relative to carriers of the seven other inbred founder alleles (A/J, C57BL/6J, 129S1/SvImJ, NOD/ShiLtJ, NZO/HlLtJ, PWK/PhJ, and WSB/EiJ). We characterized possible functional consequences of sequence variants in Trpa1 by assessing channel conductance, Trpa1/Trpv1 interactions, and isoform expression. The phenotypic differences observed in CAST/EiJ relative to C57BL/6J carriers were best explained by Trpa1 isoform expression differences, implicating a splice junction variant as the causal functional variant. This study demonstrates the utility of advanced, high-precision genetic mapping populations in resolving specific molecular mechanisms of variation in pain sensitivity.

bioinformatics↗