Project description:Comparative oncology is a developing research discipline that is being used to assist our understanding of human neoplastic diseases. Companion canines are a preferred animal oncology model due to spontaneous tumor development and similarity to human disease at the pathophysiological level. We use a paired RNA sequencing (RNA-Seq)/microarray analysis of a set of four normal canine lymph nodes and ten canine lymphoma fine needle aspirates to identify technical biases and variation between the technologies and convergence on biological disease pathways. Surrogate Variable Analysis (SVA) provides a formal multivariate analysis of the combined RNA-Seq/microarray data set. Applying SVA to the data allows us to decompose variation into contributions associated with transcript abundance, differences between the technology, and latent variation within each technology. A substantial and highly statistically significant component of the variation reflects transcript abundance, and RNA-Seq proved more sensitive for detection of transcripts expressed at low levels. Latent random variation among RNA-Seq samples is also distinct in character from that impacting microarray samples. In particular, we observed variation between RNA-Seq samples that reflects transcript GC content. Platform-independent variable decomposition without a priori knowledge of the sources of variation using SVA represents a generalizable method for accomplishing cross-platform data analysis. We identified genes differentially expressed between normal lymph nodes of disease free dogs and a subset of the diseased dogs diagnosed with B-cell lymphoma using each technology. There is statistically significant overlap between the RNA-Seq and microarray sets of differentially expressed genes. Analysis of overlapping genes in the context of biological systems suggests elevated expression and activity of PI3K signaling in B-cell lymphoma biopsies compared with normal biopsies, consistent with literature describing successful use of drugs targeting this pathway in lymphomas.

Project description:Comparative oncology is a developing research discipline that is being used to assist our understanding of human neoplastic diseases. Companion canines are a preferred animal oncology model due to spontaneous tumor development and similarity to human disease at the pathophysiological level. We use a paired RNA sequencing (RNA-Seq)/microarray analysis of a set of four normal canine lymph nodes and ten canine lymphoma fine needle aspirates to identify technical biases and variation between the technologies and convergence on biological disease pathways. Surrogate Variable Analysis (SVA) provides a formal multivariate analysis of the combined RNA-Seq/microarray data set. Applying SVA to the data allows us to decompose variation into contributions associated with transcript abundance, differences between the technology, and latent variation within each technology. A substantial and highly statistically significant component of the variation reflects transcript abundance, and RNA-Seq proved more sensitive for detection of transcripts expressed at low levels. Latent random variation among RNA-Seq samples is also distinct in character from that impacting microarray samples. In particular, we observed variation between RNA-Seq samples that reflects transcript GC content. Platform-independent variable decomposition without a priori knowledge of the sources of variation using SVA represents a generalizable method for accomplishing cross-platform data analysis. We identified genes differentially expressed between normal lymph nodes of disease free dogs and a subset of the diseased dogs diagnosed with B-cell lymphoma using each technology. There is statistically significant overlap between the RNA-Seq and microarray sets of differentially expressed genes. Analysis of overlapping genes in the context of biological systems suggests elevated expression and activity of PI3K signaling in B-cell lymphoma biopsies compared with normal biopsies, consistent with literature describing successful use of drugs targeting this pathway in lymphomas. RNA was extracted from 10 lymphoma fine needle aspirates attained from companion canines. 4 normal lymph node samples were obtained from a Beagle breeding colony at Pfizer, including two samples that were taken from the same dog but different lymph nodes. This Series represents the Affymetrix gene expression only, not RNA-Seq referenced above. RNA-Seq data have been submitted to SRA as SRA059558.

Project description:C3 glomerulopathy (C3G), which encompasses C3 glomerulonephritis (C3GN) and dense deposit disease (DDD), results from dysregulation of the alternative complement pathway. Data on disease recurrence after kidney transplantation is limited, and details on histologic features of recurrent C3G are scarce. We aimed to evaluate C3G recurrence in the allograft, with a focus on histologic presentation and progression. We retrospectively analyzed 18 patients with native kidney failure attributed to C3G (12 C3GN and 6 DDD) who received a kidney transplant from January 2016 to January 2023. Demographic, genetic, clinical, and histologic data were studied. The Nanostring 770 genes immune profiling panel was used for transcriptomic analysis. Disease recurrence was the primary outcome. During a median follow-up period of 37 (18, 56) months, C3G recurrence occurred in 16 (89%) of patients (11 with C3GN and 5 with DDD), at a median of 33 (13, 141) days post-transplantation. Over a third (38%) of recurrent cases were detected in protocol biopsies, and only 31% of patients presented with >300 mg/g of proteinuria. Recurrence in index biopsies was mainly established through a combination of immunofluorescence and electron microscopy findings, while it showed only subtle histologic alterations and no characteristic transcriptomic signals. Over time, histologic chronicity indices increased, but all allografts were functioning at the end of follow-up. Patients with recurrence of C3GN and DDD showed overlapping immunofluorescence and electron microscopy findings and had similar recurrence rate and time to recurrence. The majority of patients with native kidney failure attributed to C3G developed disease recurrence very early after kidney transplantation, usually with minimal proteinuria, mild histologic alterations, and favorable short-term allograft survival. Immunofluorescence and electron microscopy played crucial role in detecting early, sub-clinical recurrence of C3GN and DDD, which showed significant overlapping features. To identify transcriptomic signals that may distinguish recurrent C3G, we utilized the 770 genes PanCancer Immune Profiling Panel in a discovery cohort of native kidney biopsies followed by a testing cohort of allograft biopsies. For the discovery cohort, we residual tissue from formalin-fixed paraffin-embedded samples (FFPE) was used from 18 native kidney biopsies with C3G (11 C3GN and 7 DDD) and 36 native biopsies with other glomerular diseases (GD controls: 15 IgA nephropathy, 14 membranous nephropathy, 7 diffuse podocytopathy). For the testing cohort, we ass essedresidual FFPE tissue was used from 13 index allograft biopsies with recurrent C3G (combining 10 from our study with enough residual tissue and 3 additional cases that were added to increase sample size) and 41 allograft glomerular disease (GD) controls. Since recurrent GD is overall more commonly encountered than de novo GD although the frequency of latter might be underestimated20, the GD controls were selected to roughly reflect this notion [15 de novo GD (5 membranous nephropathy, 6 immune complex-mediated glomerulonephritis not otherwise specified, 3 IgA nephropathy, 1 HCV-associated glomerulonephritis) and 26 recurrent GD (10 membranous nephropathy, 8 IgA nephropathy, 7 diffuse podocytopathy, 1 HCV-associated glomerulonephritis)].

			Action	DRS
	SRR5332840_1.fastq.gz	Fastqsanger.gz
	SRR5332840_2.fastq.gz	Fastqsanger.gz
	SRR5332850_1.fastq.gz	Fastqsanger.gz
	SRR5332850_2.fastq.gz	Fastqsanger.gz
	SRR5332841_1.fastq.gz	Fastqsanger.gz

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Canis lupus familiaris breed:laborador retriever mix

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