Unknown,Transcriptomics,Genomics,Proteomics

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Affymetrix SNP 6.0 array data for single cell multiple displacement amplification

ABSTRACT: Generating sufficient DNA for high-throughput genetic analysis has always been a challenge for clinical settings where the amount of source DNA is limited. Multiple displacement amplification (MDA) has been proposed as a promising candidate for such situations. Previous work with lower-resolution arrays confirmed the utility of single-cell MDA products for large-size (~30 Mb) genome variation screening. We tested the performance of single-cell MDA products on the SNP 6.0 arrays to examine the performance of single-cell MDA in SNP genotyping, copy number polymorphism, de novo copy number variation (CNV) and loss of heterozygosity (LOH) analysis. Our data show that for SNP genotyping, single-cell MDA did not obtain complete genome coverage or high sequence fidelity. For CNV calling, single-cell MDA introduced stochastic amplification artifacts in log2 ratio profiles, reducing the robustness of CNV calling; however, by adjusting smooth window size, it is still possible to analyze large chromosomal aberrations, and homozygous deletions as small as 500 kb can still be identified from the noisy log2 ratio profiles. Our results also suggest that even with a modified protocol (reduction of reaction volume, addition of a molecular crowding reagent, minimization of reaction time), single-cell MDA presented little improvement over the unmodified protocol, but by increasing the number of cells as template to 5M-bM-^@M-^S10 cells, SNP 6.0 array results comparable to those of 10 ng genomic DNA MDA could be obtained. Algorithms like PICNIC improved the CNV calling, suggesting that better algorithms can better utilize single-cell MDA array results. Affymetrix SNP arrays were performed according to the manufacturer's directions on DNA extracted from cell line samples, and multiple displacement samples. Genotyping, Copy number and LOH analysis of Affymetrix SNP 6.0 arrays was performed for 3 samples of unamplified cell line genomic DNA, 2 samples of DNA obtained by multiple displacement amplification from 10ng genomic DNA, 3 single-cell multiple displacement amplification (MDA) products, single cell modified MDA amplification product, 5-cell modified MDA amplification product, 10-cell modified MDA amplification product.

ORGANISM(S): Homo sapiens

SUBMITTER: Yan Shea (Xie)

PROVIDER: E-GEOD-28132 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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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.

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Affymetrix SNP 6.0 array data for single cell multiple displacement amplification

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