Aphelocoma
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA317781 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Aphelocoma californica Genomic Resources
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Project description:Aphelocoma woudhouseii Genomic Resources
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Project description:We used DNA content-based flow cytometry to distinguish and isolate nuclei from clonal populations in primary tissues from three disparate cancers with variable clinical histories. We then developed a methodology to adapt flow cytometrically purified nuclei samples for use with whole genome technologies including aCGH and next generation sequencing (NGS). Our results demonstrate that selected aberrations in the genomes of distinct clonal populations in each patient create clinically relevant contexts at least with respect to the cancer types profiled in this study. We applied DNA content based flow sorting to isolate the nuclei of clonal populations from tumor biopsies. Genomic DNA from each sorted population was amplified with phi29 polymerase. A 1ug aliquot of each amplified sample was digested with DNAse 1 then labeled with Cy5 using a Klenow-based commercial kit (Invitrogen). Each sample was hybridized with a pooled normal (46,XX) reference (Promega) to Agilent 244k CGH arrays. The use of highly purified objectively defined flow sorted populations provides high definition genomic profiles of clonal populations from pancreatic adenocarcinomas (PA), adrenal cortical carcinomas (ACC), and prostate adenocarcinomas (PC).
2011-07-04 | E-GEOD-21660 | biostudies-arrayexpress
Project description:Acute lymphoblastic pediatric leukemia specimens without known genetic hallmarks are examined for hidden genomic aberrancies and related gene expression profiles Integration of genomic variation and gene expression profiling identifies hidden genetic lesions and novel pathways involved in BP-ALL pathogenesis Keywords: expression data
2008-04-25 | GSE10792 | GEO
Project description:Arterial stiffness is a prevalent, independent cardiovascular risk factor, but the underlying mechanisms are not well understood. Wall shear stress and shear-sensitive genes may promote arterial stiffening through clinically important signaling pathways. Our goal was to identify how disturbed blood flow leads to arterial stiffness using the mouse partial carotid ligation model. Here we used our in vivo partial carotid ligation model to induce d-flow in the LCA while the contralateral RCA continues to experience stable laminar flow using the C57BL/6x129SvEv mice, TSP-1 knockout (KO), and C57Bl/6J mice. We compared these to aged (80 week) mice which had increased arterial stiffness due to aging. Changes in gene expression were identified using microarrays that were performed on the endothelial-enriched RNA isolated from the carotids exposed to stable flow (RCA) and compared to disturbed flow (LCA). Arterial stiffness was determined ex vivo by biaxial mechanical testing and in vivo by ultrasound techniques. Myointimal hyperplasia and immunohistochemistry were performed in sectioned carotid arteries. In vitro testing of signaling pathways utilized oscillatory and laminar wall shear stress. Human arteries were tested ex vivo to validate critical results found in the animal model.
2017-09-01 | GSE87199 | GEO
Project description:We used DNA content-based flow cytometry to distinguish and isolate nuclei from clonal populations in primary tissues from three disparate cancers with variable clinical histories. We then developed a methodology to adapt flow cytometrically purified nuclei samples for use with whole genome technologies including aCGH and next generation sequencing (NGS). Our results demonstrate that selected aberrations in the genomes of distinct clonal populations in each patient create clinically relevant contexts at least with respect to the cancer types profiled in this study.
2011-07-04 | GSE21660 | GEO