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Differential expression data between E15.5 outflow tracts of Gata4 G295S mutant embryos and littermate controls

ABSTRACT: E15.5 embryos were micro-disscted from Gata4 G295S mutant mice and littermate controls, RNA was isolated using Norgen total RNA isolation, and libraries were generated with the RNA TruSeq Stranded Total RNA kit. 50 base pair paired end reads were obtained on an illumina high seq 2500. Fastq files were aligned to the mouse genome using STAR aligner. QC was performed using RNASeQC and RSeQC. BAM files were processed using cufflinks pipeline.

ORGANISM(S): Mus musculus

PROVIDER: GSE117621 | GEO | 2019/05/17

REPOSITORIES: GEO

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Differential expression data between E15.5 outflow tracts of Gata4 G295S mutant embryos and littermate controls

Project description:Differential expression data between E15.5 outflow tracts of Gata4 G295S mutant embryos and littermate controls

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Gata4 regulates hedgehog signaling and Gata6 expression for outflow tract development.

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Project description:BackgroundPulmonary insufficiency is a consequence of transannular patch repair in Tetralogy of Fallot (ToF) leading to late morbidity and mortality. Transcatheter native outflow tract pulmonary valve replacement has become a reality. However, predicting a secure, atraumatic implantation of a catheter-based device remains a significant challenge due to the complex and dynamic nature of the right ventricular outflow tract (RVOT). We sought to quantify the differences in compression and volume for actual implants, and those predicted by pre-implant modeling.MethodsWe used custom software to interactively place virtual transcatheter pulmonary valves (TPVs) into RVOT models created from pre-implant and post Harmony valve implant CT scans of 5 ovine surgical models of TOF to quantify and visualize device volume and compression.ResultsVirtual device placement visually mimicked actual device placement and allowed for quantification of device volume and radius. On average, simulated proximal and distal device volumes and compression did not vary statistically throughout the cardiac cycle (P = 0.11) but assessment was limited by small sample size. In comparison to actual implants, there was no significant pairwise difference in the proximal third of the device (P > 0.80), but the simulated distal device volume was significantly underestimated relative to actual device implant volume (P = 0.06).ConclusionsThis study demonstrates that pre-implant modeling which assumes a rigid vessel wall may not accurately predict the degree of distal RVOT expansion following actual device placement. We suggest the potential for virtual modeling of TPVR to be a useful adjunct to procedural planning, but further development is needed.

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Project description:Reovirus is a nonenveloped mammalian virus that provides a useful model system for studies of viral infections in the young. Following internalization into host cells, the outermost capsid of reovirus virions is removed by endosomal cathepsin proteases. Determinants of capsid disassembly kinetics reside in the viral σ3 protein. However, the contribution of capsid stability to reovirus-induced disease is unknown. In this study, we found that mice inoculated intramuscularly with a serotype 3 reovirus containing σ3-Y354H, a mutation that reduces viral capsid stability, succumbed at a higher rate than those infected with wild-type virus. At early times after inoculation, σ3-Y354H virus reached higher titers than wild-type virus at several sites within the host. Animals inoculated perorally with a serotype 1 reassortant reovirus containing σ3-Y354H developed exaggerated myocarditis accompanied by elaboration of pro-inflammatory cytokines. Surprisingly, unchallenged littermates of mice infected with σ3-Y354H virus displayed higher titers in the intestine, heart, and brain than littermates of mice inoculated with wild-type virus. Together, these findings suggest that diminished capsid stability enhances reovirus replication, dissemination, lethality, and host-to-host spread, establishing a new virulence determinant for nonenveloped viruses.

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2019-08-31 | GSE119359 | GEO

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2020-04-12 | GSE133733 | GEO

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Quantitative Analysis of Wild Type,Ctnnb1 deltaEx3 and Ctnnb1 deltaEx2-6 Spinal Cord Transcriptomes

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