Unknown,Transcriptomics,Genomics,Proteomics

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Global gene expression analysis of canine cutaneous mast cell tumor

ABSTRACT: In the present study, canine mast cell tumor (MCT) transcriptome was characterized in order to identify a set of candidate genes potentially useful for MCT classification and prognosis prediction. Fifty-one canine MCT biopsies were enrolled in the study. Isolated and purified total RNAs were individually hybridized to the Agilent Canine V2 4x44k DNA microarray. The comparison of reference differentiated and undifferentiated MCT transcriptome revealed a total of 597 differentially expressed genes (450 up-regulated and 147 down-regulated). The functional analysis of this set of genes provided evidence that they were mainly involved in cell cycle, DNA replication, p53 signaling pathway, nucleotide excision repair and pyrimidine metabolism. Class prediction analysis identified 13 transcripts providing the greatest accuracy of class prediction and divided samples into two categories (differentiated and undifferentiated MCTs). The molecular classification here used was prognostically significant, as the groups were directly correlated with survival time (p = 0.0026). In this study, we analyzed the gene expression profiles of 51 mast cell tumour samples using Agilent Canine V2 4x44k (G2519F, Design ID 021193) DNA microarray platform (60 arrays, 8 replicates) based on single-colour detection (Cyanine-3 only). Microarrays are scanned with Agilent scanner G2565BA (barcode on the left, DNA on the back surface, scanned through the glass) at a resolution of 5 microns; all slides are scanned twice at two different sensitivity settings (XDRHi 100% and XDRLo 10%); the scanner software creates a unique ID for each pair of XDR scans and saves it to both scan image files. Feature Extraction 9.5 uses XDR ID to link the pairs of scans together automatically when extracting data. The signal left, after all the FE processing steps have been completed, is ProcessedSignal that contains the Multiplicatively Detrended, Background-Subtracted Signal.

ORGANISM(S): Canis lupus familiaris

SUBMITTER: Mery Giantin

PROVIDER: E-GEOD-50433 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

Global gene expression analysis of canine cutaneous mast cell tumor: could molecular profiling be useful for subtype classification and prognostication?

Giantin Mery M Granato Anna A Baratto Chiara C Marconato Laura L Vascellari Marta M Morello Emanuela M EM Vercelli Antonella A Mutinelli Franco F Dacasto Mauro M

PloS one 20140418 4

Prognosis and therapeutic management of dogs with cutaneous mast cell tumors (MCTs) depend on clinical stage and histological grade. However, the prognostic value of this latter is still questionable. In the present study, MCT transcriptome was analyzed to identify a set of candidate genes potentially useful for predicting the biological behavior of MCTs. Fifty-one canine MCT biopsies were analyzed. Isolated and purified total RNAs were individually hybridized to the Agilent Canine V2 4x44k DNA ...[more]

PMID: 24748173

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Project description:Digestive Gland Samples: A manila clam oligo microarray platform (GPL10900) was used to profile gene expression in digestive gland of R. philippinarum. Total RNA was extracted from three (3) independent biological replicates of digestive gland for each sampling site, each consisting of tissue pools of five (5) animals. Statistical analysis with SAM (Significance Analysis of Microarray) identified1,127 probes differentially expressed. Gills Samples: A manila clam oligo microarray platform (GPL10900) was used to profile gene expression in gills of R. philippinarum. Total RNA was extracted from three (3) independent biological replicates of gills for each sampling site, each consisting of tissue pools of five (5) animals. Statistical analysis with SAM (Significance Analysis of Microarray) identified1,127 probes differentially expressed. Digestive Gland Samples: In this study, we analyzed six (6) samples, three (3) pools of digestive gland of Manila clam sampled in Marghera and three(3) pools of digestive gland of Manila clam sampled in Alberoni. Gene expression profiling was performed using the Agilent-019810 Ruditapes philippinarum Oligo Microarray platform (GPL10900) based on single-colour detection (Cyanine-3 only). Microarrays were scanned with Agilent scanner G2565BA (barcode on the left, DNA on the back surface, scanned through the glass) at a resolution of 5 microns; all slides were scanned twice at two different sensitivity settings (XDRHi 100% and XDRLo 10%); the scanner software created a unique ID for each pair of XDR scans and saved it to both scan image files. Feature Extraction (FE) 9.5 used XDR ID to link the pairs of scans together automatically when extracting data. The signal left after all the FE processing steps have been completed is ProcessedSignal that contains the Multiplicatively Detrended, Background-Subtracted Signal. Gills Samples: In this study, we analyzed six (6) samples, three (3) pools of gills of Manila clam sampled in Marghera and three(3) pools of gills of Manila clam sampled in Alberoni. Gene expression profiling was performed using the Agilent-019810 Ruditapes philippinarum Oligo Microarray platform (GPL10900) based on single-colour detection (Cyanine-3 only). Microarrays were scanned with Agilent scanner G2565BA (barcode on the left, DNA on the back surface, scanned through the glass) at a resolution of 5 microns; all slides were scanned twice at two different sensitivity settings (XDRHi 100% and XDRLo 10%); the scanner software created a unique ID for each pair of XDR scans and saved it to both scan image files. Feature Extraction (FE) 9.5 used XDR ID to link the pairs of scans together automatically when extracting data. The signal left after all the FE processing steps have been completed is ProcessedSignal that contains the Multiplicatively Detrended, Background-Subtracted Signal.

Dataset Information

Global gene expression analysis of canine cutaneous mast cell tumor

Publications

Global gene expression analysis of canine cutaneous mast cell tumor: could molecular profiling be useful for subtype classification and prognostication?

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