Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Multi-region copy-number analysis

ABSTRACT: Intra-tumour heterogeneity (ITH) foster tumour adaptation and hamper the efficiency of personalised medicine approaches. We investigated the extent of ITH within individual clear cell renal cell carcinomas (ccRCC) by multi-region sampling and copy number analysis. We analyzed 63 tumour regions and 8 normal samples from eight clear cell renal cell carcinomas using Affymetrix SNP6 arrays. All individual tumours were subjected to multi-region sampling and copy-number analysis using Affymetrix SNP6 arrays.

ORGANISM(S): Homo sapiens

SUBMITTER: Pierre Martinez

PROVIDER: E-GEOD-47077 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

Parallel evolution of tumour subclones mimics diversity between tumours.

Martinez Pierre P Birkbak Nicolai Juul NJ Gerlinger Marco M McGranahan Nicholas N Burrell Rebecca A RA Rowan Andrew J AJ Joshi Tejal T Fisher Rosalie R Larkin James J Szallasi Zoltan Z Swanton Charles C

The Journal of pathology 20130801 4

Intratumour heterogeneity (ITH) may foster tumour adaptation and compromise the efficacy of personalized medicine approaches. The scale of heterogeneity within a tumour (intratumour heterogeneity) relative to genetic differences between tumours (intertumour heterogeneity) is unknown. To address this, we obtained 48 biopsies from eight stage III and IV clear cell renal cell carcinomas (ccRCCs) and used DNA copy-number analyses to compare biopsies from the same tumour with 440 single tumour biopsi ...[more]

PMID: 23716380

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Project description:Methods for haplotyping and DNA copy number typing of single cells are paramount for studying genomic heterogeneity and enabling genetic diagnosis. Before analyzing the DNA of a single cell by microarray or next-generation sequencing, a whole-genome amplification (WGA) process is required that substantially distorts the frequency and composition of the cell’s alleles. As a consequence, haplotyping methods suffer from error-prone discrete SNP-genotypes (AA, AB, BB), and DNA copy number profiling remains difficult as true DNA copy number aberrations have to be discriminated from WGA-artifacts. Here, we developed a single-cell genome analysis method that reconstructs genome-wide haplotype architectures as well as the copy-number and segregational origin of those haplotypes by deciphering WGA-distorted SNP B-allele fractions, using a process we coin haplarithmisis. We demonstrate clinical precision of the method on single cells biopsied from human embryos to diagnose disease alleles genome wide, we advance and facilitate the detection of numerical and structural chromosomal anomalies in single cells, and can distinguish meiotic from mitotic segregation errors in a single assay. Here we provide two sample sets, including (1) a reference family delivering samples applied for the development and optimization of single-cell genotyping, QC-metrics, haplarithmisis and the siCHILD algorithm. Specifically, the reference family delivers genomic DNA samples isolated from peripheral blood of two siblings 'S1' and 'S2', the mother and father of these siblings, as well as of the maternal grandmother and grandfather. Of individuals ‘S1’ and ‘S2’, six EBV-transformed lymphoblastoid single cells were also isolated, of which three were whole-genome amplified using MDA and three using PicoPlex. These multi-cell genomic DNA samples and single-cell WGA-products were hybridized to Illumina HumanCytoSNP12-v2.1 SNP-arrays following: (i) the protocol as recommended by the company and/or (ii) a modified rapid protocol as described below. Subsequently, the SNP-probe signals were interpreted by two different genotyping algorithms (GenCall and GenoSNP). Based on overall performance, we decided to use GenCall for interpreting Illumina SNP-probe signals of single-cell and multi-cell DNA samples. (2) A set of 12 families undergoing genetic diagnosis (for Mendelian disorders or translocation chromosomes) of preimplantation embryos following in vitro fertilization. In general, each family delivers genomic DNA samples isolated from peripheral blood of the two parents as well as a sibling and/or other close relatives; the specific kinships for each family are given in the 'description' column. In addition, of each family single blastomeres biopsied from preimplantation embryos obtained via in vitro fertilization of the parental gametes are also provided. All single-cell genomes were amplified by MDA. All the samples were hybridized to Illumina HumanCytoSNP12-v2.1 SNP-arrays following the rapid protocol. This data was used for clinical validation of the siCHILD algorithm.

Dataset Information

Multi-region copy-number analysis

Publications

Parallel evolution of tumour subclones mimics diversity between tumours.

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