Project description:In this study, 19 tumor samples from patients with renal cell carcinoma (RCC)-end-stage renal disease (ESRD) were analyzed by array comparative genomic hybridization (array CGH) using the Agilent Whole Human Genome 4× Array.
Project description:In this study, eighty tumor samples from 63 patients with renal cell carcinoma (RCC)-end-stage renal disease (ESRD) were analyzed by array comparative genomic hybridization (array CGH) using the Agilent Whole Human Genome 4×44K Oligo Micro Array.
Project description:In this study, 19 tumor samples from patients with renal cell carcinoma (RCC)-end-stage renal disease (ESRD) were analyzed by array comparative genomic hybridization (array CGH) using the Agilent Whole Human Genome 4× Array. 19 cystic disease samples from patients with RCC-ESRD
Project description:In this study, eighty tumor samples from 63 patients with renal cell carcinoma (RCC)-end-stage renal disease (ESRD) were analyzed by array comparative genomic hybridization (array CGH) using the Agilent Whole Human Genome 4×44K Oligo Micro Array. 79 tumor samples from 63 patients with RCC-ESRD
Project description:MicroRNAs (miRNAs), non-coding RNAs regulating gene expression, are frequently aberrantly expressed in human cancers. Next-generation deep sequencing technology enables genome-wide expression profiling of known miRNAs and discovery of novel miRNAs at unprecedented quantitative and qualitative accuracy. Deep sequencing was performed on 22 fresh frozen clear cell renal cell carcinoma (ccRCC), 11 non-tumoral renal cortex (NRC) samples and 2 ccRCC cell lines (n=35). The 22 ccRCCs patients belonged to 3 prognostic sub-groups, i.e. Those without disease recurrence, with recurrence and with metastatic disease at diagnosis Deep sequencing was performed on 22 fresh frozen clear cell renal cell carcinoma (ccRCC), 11 non-tumoral renal cortex (NRC) samples and 2 ccRCC cell lines (n=35). The 22 ccRCCs patients belonged to 3 prognostic sub-groups, i.e. Those without disease recurrence, with recurrence and with metastatic disease at diagnosis.
Project description:Biomarkers for early detection of chronic kidney disease are needed, as millions of patients suffer from chronic diseases predisposing them to kidney failure. Protein microarrays may hold utility in the discovery of auto-antibodies in other conditions not commonly considered auto-immune diseases. We hypothesized that proteins are released as a consequence of damage at a cellular level during end-organ damage from renal injury, not otherwise recognized as self-antigens, and an adaptive humoral immune response to these proteins might be detected in the blood, as a non-invasive tracker of this injury. The resultant antibodies (Ab) detected in the blood would serve as effective biomarkers for occult renal injury, enabling earlier clinical detection of chronic kidney disease than currently possible, due to the redundancy of the serum creatinine as a biomarker for early kidney injury. To screen for novel autoantibodies in chronic kidney disease, 24 protein microarrays were used to compare serum Ab from patients with chronic kidney disease against matched controls. From a panel of 38 antigens with increased Ab binding, 4 were validated in 71 individuals, with (n=50) and without (n=21) renal insufficiency. Significant elevations in the titer of novel auto-Ab were noted against Angiotensinogen (AGT) and PRKRIP1 in renal insufficiency. Current validation is underway to evaluate if these auto-Ab can provide means to follow the evolution of chronic kidney disease in patients with early stages of renal insufficiency, and if these rising titers of these auto-Ab correlate with the rate of progression of chronic kidney disease. Serum antibodies were profiled for 7 healthy individuals and 17 patients with chronic kidney disease, using the Invitrogen ProtoArray® Human Protein Microarray v3.0 platform (Invitrogen, Carlsbad, CA). This platform contains 5,056 non-redundant human proteins expressed in a baculovirus system, purified from insect cells and printed in duplicate onto a nitrocellulose-coated glass slide. Each protein is spotted twice on each array, to measure the quality of the signal intensity. Details for experiment processing and analysis follow the previous publication from our group (Li et al Proc Natl Acad Sci U S A. 2009 Mar 17;106(11):4148-53). Prospector software was used to retrieve the expression based on immune response profiling of the .gal files.
Project description:Chronic inflammation leading to pro-inflammatory macrophage infiltration contributes to the pathogenesis of type 2 diabetes and subsequently the development of diabetic nephropathy. Mesenchymal stem cells (MSCs) possess unique immunomodulatory and cytoprotective properties making them an ideal candidate for therapeutic intervention We used microarrays to detail changes in the gene expression profile of monocytes isolated from type 2 diabetic patients with end-stage renal disease and non-diabetic control subjects following co-culture with MSCs. Control blood samples were obtained from 4 donors from the Australian Red Cross Blood Service. Blood was also obtained from 5 diabetic patients with end-stage renal disease receiving haemodialysis at the Monash Medial Centre. CD14+ monocytes were isolated from blood using microbeads and co-cultured for 48 hours with and without human bone marrow-derived MSCs using an in vitro transwell system. An Affymetrix GeneChip Human Gene 2.0 ST array was used.
Project description:MicroRNAs (miRNAs), non-coding RNAs regulating gene expression, are frequently aberrantly expressed in human cancers. Next-generation deep sequencing technology enables genome-wide expression profiling of known miRNAs and discovery of novel miRNAs at unprecedented quantitative and qualitative accuracy. Deep sequencing was performed on 22 fresh frozen clear cell renal cell carcinoma (ccRCC), 11 non-tumoral renal cortex (NRC) samples and 2 ccRCC cell lines (n=35). The 22 ccRCCs patients belonged to 3 prognostic sub-groups, i.e. Those without disease recurrence, with recurrence and with metastatic disease at diagnosis