Project description:We analyzed 1042 meningiomas with whole-genome microarray including 12 meningiomas with multifocal sampling to characterize how CNV thresholds influence their molecular classification and outcome.
Project description:Copy number alteration (CNA) is a good signpost to identify cancer related genes. CNAs were analyzed using the Agilent 244K array comparative genomic hybridization (aCGH) in fresh-frozen tumor and matched normal tissues from 10 gastric cancer patients.
Project description:Copy number alteration (CNA) is a good signpost to identify cancer related genes. CNAs were analyzed using the Agilent 400K array comparative genomic hybridization (aCGH) in fresh-frozen tumor and matched normal tissues from 30 gastric cancer patients.
Project description:Copy number alteration (CNA) is a good signpost to identify cancer related genes. CNAs were analyzed using the Agilent 400K array comparative genomic hybridization (aCGH) in fresh-frozen tumor and matched normal tissues from 30 gastric cancer patients. Whole genomic CNAs in 30 human gastric cancers were analyzed using the Agilent aCGH-400K arrays. Matched normal tissues were used as the reference.
Project description:In order to evaluate the performance of CNV detection in next-generation sequencing platform in varied sample types, we employed chromosomal microarray analysis (CMA) for validation of the samples with NGS-based detection results (NCBI Sequence Read Archive with accession number SRA296708). Besides snp-array, we used a customized array Comparative Genomics Hybridization (aCGH, Agilent) approach for a cohort of clinical samples including early abortus, induced termination, prenatal samples and postnatal samples. CMA results were compared with NGS-based detection results. 100% consistency was obtained between NGS-based approach and CMA in pathogenic or likely pathogenic CNVs detection.