Project description:The MYCN locus is amplified in about half of high-risk neuroblastoma tumors. To identify genomic loci occupied by MYCN protein in the MYCN-amplified neuroblastoma cell lines NGP, Kelly and NB-1643, we performed chromatin immunoprecipitation coupled with Next-Generation Sequencing (ChIP-seq) using an anti-MYCN antibody.
Project description:The global deep subsurface biosphere is one of the largest reservoirs for microbial life on our planet. This study takes advantage of new sampling technologies and couples them with improvements to DNA sequencing and associated informatics tools to reconstruct the genomes of uncultivated Bacteria and Archaea from fluids collected deep within the Juan de Fuca Ridge subseafloor. Here, we generated two metagenomes from borehole observatories located 311 meters apart and, using binning tools, retrieved 98 genomes from metagenomes (GFMs). Of the GFMs, 31 were estimated to be >90% complete, while an additional 17 were >70% complete. Phylogenomic analysis revealed 53 bacterial and 45 archaeal GFMs, of which nearly all were distantly related to known cultivated isolates. In the GFMs, abundant Bacteria included Chloroflexi, Nitrospirae, Acetothermia (OP1), EM3, Aminicenantes (OP8), Gammaproteobacteria, and Deltaproteobacteria, while abundant Archaea included Archaeoglobi, Bathyarchaeota (MCG), and Marine Benthic Group E (MBG-E). These data are the first GFMs reconstructed from the deep basaltic subseafloor biosphere, and provide a dataset available for further interrogation.
Project description:Single-cell genomics and single-cell transcriptomics have recently emerged as powerful tools to study the biology of single cells at a genome-wide scale. Here we describe a method that allows the integration of genomic DNA and mRNA sequencing from the same cell. We use this method to correlate DNA copy number variation to transcriptome variability among individual cells. First, hand-picked single cells are lysed and reverse transcribed using a poly-A primer including cell-specific barcodes, a 5' Illumina adapter and a T7 promoter overhang to convert mRNA to single stranded cDNA (ss cDNA). The gDNA and single stranded cDNA are then subjected to quasilinear whole genome amplification, as previously described, using an adapter with a defined 27 nucleotide sequence at the 5M-bM-^@M-^Y end followed by 8 random nucleotides. After 7 rounds of amplification, the gDNA and cDNA are copied to generate a variety of different short amplicon (0.5M-bM-^@M-^S2.5 kb) species, with a majority of amplicons containing adapter Ad-2 at both ends and a small fraction of cDNA derived amplicons containing Ad-2 at one end and Ad-1x at the other. Next, the sample is split into two tubes to further amplify gDNA and cDNA. The tube used to sequence gDNA is amplified using PCR. Following sonication, adapter Ad-2 removal, and cell-specific indexed Illumina library preparation, this half is used to sequence gDNA. The tube used to sequence cDNA is converted to double-stranded cDNA and amplified using in vitro transcription such that the amplified RNA (aRNA) is uniquely produced from cDNA but not gDNA. 3M-bM-^@M-^Y Illumina adapters are then ligated to the aRNA followed by reverse transcription and PCR, allowing quantification of mRNA.
Project description:Amplicon-based targeted re-sequencing analysis was performed in the patient-derived gliobastoma cell culture samples. For this purpose, genomic DNA (gDNA) was isolated and DNA libraries were prepared using the TruSeq Custom Amplicon Low Input (Illumina, Inc.) technology. By this, a pool of 375 amplicons was generated for each single sample in order to enrich for the target genes ATRX1, EGFR, IDH1, NF1, PDGFRA, PIK3CG, PIK3R1, PTEN, RB1 and TP53. Sequencing was performed on the Illumina MiSeq® next generation sequencing system (Illumina Inc.) and its 2 x 250 bp paired-end v2 read chemistry. The resulting reads were quality controlled and mapped against the human reference genome (hg19). For all samples, sequence variations of the amplified regions of interest in comparison to the human reference sequence were identified and filtered based on reliability.
Project description:Detection of genomic rearrangements from a single cell instead of a population of cells is an emerging research technique with important applications in the study of human fertility, constitutional chromosomal disorders, and tumor progression. Here, we develop a method to improve the detection of single-cell genome-wide copy number variation. At this study, 7 amplified single cell DNA samples derived from EBV-line [47,XY,+21], [46,XY,der(20),t(18;20)(p11.21;p13)], [46,XX,del(18)(p11.21->pter)], [46,X,der(X),t(X;14)(q21.1;q12.2)] were analyzed by Agilent 244K array CGH. For these single cell Agilent 244K array CGH analyses: non-amplified genomic DNA extracted from the blood of a Klinefelter patient (XXY) was used as a reference sample. As a validation, the corresponding non-amplified genomic DNA samples were analyzed by 250K Nsp I SNP arrays (platform GPL3718). Non-amplified genomic DNA extracted from the blood of a Klinefelter patient (XXY) was used as a reference sample for BAC array CGH