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Gorr, M. W.

Publications and source records attributed to Gorr, M. W..

2 recordsLinked to original sources

Molecular signature of RV cardiac remodeling associated with Polymerase Gamma mutation

Aging is associated with metabolic dysfunction and metabolic dysfunction accelerates the course of aging. This is well illustrated by aging-like phenotypes displayed in the Polymerase Gamma mutant mouse. Here, a key residue of the mitochondrial DNA polymerase is mutated (D257A) which hinders proof reading capacity, resulting in mitochondrial DNA mutation and instability. Given known cardiac phenotypes in the POLG mutant mouse, we sought to characterize the course of cardiac dysfunction in the POLG mutant to guide future intervention studies. Including both male and female animals allowed interrogation of sex-specific responses to severe metabolic dysfunction. We also conducted RNA-seq analysis on cardiac right ventricles to broadly identify mechanisms engaged by severe metabolic dysfunction that are associated with RV pathology. Several interesting sex differences were noted. Specifically, female POLG mutants died earlier than male POLG mutants and LV chamber diameters were impacted earlier in females than males. Moreover, male POLG mutants showed LV wall thinning while female POLG mutant LV walls were thicker. Both males and females displayed significant RV hypertrophy. Finally, RNA-seq analysis of the RV tissue indicated that POLG mutation significantly impacted canonical pathways associated with inflammation, fibrosis, and heart failure. Comparison of this RNA-seq dataset with other publically available datasets highlight 1) strong conservation among downregulated genes in models of accelerated cardiac aging, 2) the potential involvement of the mitochondrial unfolded protein response in the POLG mutant, and 3) the ability of zinc dependent HDAC inhibition to rescue the expression of genes downregulated in accelerated cardiac aging.

pathology↗

Detection and quantification of GPCR mRNA: An assessment and implications of data from high-content methods

G protein-coupled receptors (GPCRs) are the largest family of membrane receptors and targets for approved drugs. Analysis of GPCR expression is thus important for drug discovery and typically involves mRNA-based methods. We compared transcriptomic cDNA [Affymetrix] microarrays, RNA-seq and qPCR-based TaqMan arrays for their ability to detect and quantify expression of endoGPCRs (non-chemosensory GPCRs with endogenous agonists). In human pancreatic cancer-associated fibroblasts, RNA-seq and TaqMan arrays yielded closely correlated values for GPCR number (~100) and expression levels, as validated by independent qPCR. By contrast, the microarrays failed to identify ~30 such GPCRs and generated data poorly correlated with results from those methods. RNA-seq and TaqMan arrays also yielded comparable results for GPCRs in human cardiac fibroblasts, pancreatic stellate cells, cancer cell lines and pulmonary arterial smooth muscle cells. The magnitude of mRNA expression for several Gq/11-coupled GPCRs predicted cytosolic calcium increase and cell migration by cognate agonists. RNA-seq also revealed splice variants for endoGPCRs. Thus, RNA-seq and qPCR-based arrays are better suited than microarrays for assessing GPCR expression and can yield results predictive of functional responses--findings that have implications for GPCR biology and drug discovery.\n\nAbstract Graphic\n\nO_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=168 SRC=\"FIGDIR/small/734863v1_ufig1.gif\" ALT=\"Figure 1\">\nView larger version (21K):\norg.highwire.dtl.DTLVardef@1a47e41org.highwire.dtl.DTLVardef@5ce56corg.highwire.dtl.DTLVardef@da5330org.highwire.dtl.DTLVardef@18b8215_HPS_FORMAT_FIGEXP M_FIG C_FIG

molecular biology↗