Project description:We performed a comparison analysis of the Affymetrix arrays SNP6.0 genome wide array (SNP6.0) and cytogenetic 2.7M whole-genome array (Cyto2.7M) using nine human samples. We compared the two array types with respect to four parameters including the size and breakpoints of the alterations detected, the actual CN assigned to the CNVs as well as long stretches of loss of heterozygosity. Overall, we found very good consistency between the two types of array on all parameters compared, even in regions with very complex changes. This GEO submission contains the Cyto2.7M data. GEO submission, GSE37977 contains the SNP6.0 data.
Project description:We performed a comparison analysis of the Affymetrix arrays SNP6.0 genome wide array (SNP6.0) and cytogenetic 2.7M whole-genome array (Cyto2.7M) using nine human samples. We compared the two array types with respect to four parameters including the size and breakpoints of the alterations detected, the actual CN assigned to the CNVs as well as long stretches of loss of heterozygosity. Overall, we found very good consistency between the two types of array on all parameters compared, even in regions with very complex changes. This GEO submission contains the SNP6.0 data. GEO submission, GSE37978 contains the Cyto2.7M data.
Project description:We performed a comparison analysis of the Affymetrix arrays SNP6.0 genome wide array (SNP6.0) and cytogenetic 2.7M whole-genome array (Cyto2.7M) using nine human samples. We compared the two array types with respect to four parameters including the size and breakpoints of the alterations detected, the actual CN assigned to the CNVs as well as long stretches of loss of heterozygosity. Overall, we found very good consistency between the two types of array on all parameters compared, even in regions with very complex changes. This SuperSeries is composed of the SubSeries listed below.
Project description:CTCF ChIP-seq of 39 primary samples derived from human acute leukemias, namely AML, T-ALL and mixed myeloid/lymphoid leukemias with CpG Island Methylator Phenotype (CIMP). Due to patient confidentiality considerations, the raw data files for this dataset have been deposited to the EGA controlled-access archive under the accession numbers EGAS00001007094 (study); EGAD00001011059 (dataset).
Project description:H3K27ac ChIP-seq of 79 primary samples derived from human acute leukemias, namely AML, T-ALL and mixed myeloid/lymphoid leukemias with CpG Island Methylator Phenotype (CIMP). In addition, 4 samples derived from CD34+ cord blood cells of healthy donors were included. Due to patient confidentiality considerations, the raw data files for this dataset have been deposited to the EGA controlled-access archive under the accession numbers EGAS00001007094 (study); EGAD00001011060 (dataset).
Project description:This single cell RNA-seq experiment was performed to quantify DLL3 expression in tumor cells in small cell lung cancer patients.Tumors were rapidly dissociated after the surgical procedure using the Miltenyi Biotec Human Tumor Dissociation kit (cat# 130-095-929). Libraries were constructed using the VDJ NextGEM v1.1 10x Genomics Chromium kit according to the manufacturer's instructions. Samples were sequenced on a NextSeq 550 sequencer (Illumina). Corresponding EGA study number: EGAS50000001400, EGA dataset number: EGAD50000002034.
Project description:We obtained gene expression data and HD-SNP6.0 copy number data from PTL, PCNSL and PMLBCL samples and performed an integrative analysis on them. RNA was whole genome amplified using Nugen.
Project description:Embryonic genome activation (EGA), a pivotal transcriptional event during preimplantation development, is accompanied by post-transcriptional regulation of maternal mRNAs. Disentangling the transcriptional output of the newly activated embryonic genome from concomitant post-transcriptional processing is important for decoding EGA dynamics.Here, using optimized low-input SLAM-seq (thiol(SH)-linked alkylation for the metabolic sequencing) in mouse embryos, we delineates the temporal hierarchy of EGA nascent transcription during mouse preimplantation embryogenesis and uncovers a mechanistic link between EGA and the first lineage specification, providing new insights into the regulatory architecture of early mammalian development.
Project description:In this study, we introduce a streamlined pipeline using customized and concatenated GENCODE and neXtProt databases with controlled false discovery rate (FDR) for finding GENCODE ASVs and missing proteins while mapping onto single amino acid variants (SAAVs) from Hippocampal dataset.
