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Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

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Next generation sequencing for patients with hypomyelinating leukodystrophies

ABSTRACT: Targeted enrichment-based next-generation sequencing or whole exome sequencing were taken for patients with hypomyelinating leukodystrophies to reveal genetic aetiologies. All genomic DNA used in the experiments was extracted from the peripheral leukocytes. A complete kit was synthetized using the Agilent SureSelect Target Enrichment technique, capturing the coding regions from 104 candidate genes, including their exons and exon-intron boundaries (11,473 probes, 383.065 kbp in total). The following NGS which included equipment and reagents was performed on an Illumina NEXTSEQ500 platform manufactured by Illumina (San Diego, California, USA) using paired-end sequencing of 110 bp. The clean paired-end reads were aligned to the human reference genome build hg19, which was previously annotated using ANNOVAR, in addition to insertion-deletion (indel) and single-nucleotide polymorphism (SNP) calling.

INSTRUMENT(S): AB 3730 Genetic Analyzer

ORGANISM(S): Homo sapiens

SUBMITTER: ji haoran

PROVIDER: E-MTAB-6054 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Next generation sequencing for patients with hypomyelinating leukodystrophies

Project description:Targeted enrichment-based next-generation sequencing or whole exome sequencing were taken for patients with hypomyelinating leukodystrophies to reveal genetic aetiologies. All genomic DNA used in the experiments was extracted from the peripheral leukocytes. A complete kit was synthetized using the Agilent SureSelect Target Enrichment technique, capturing the coding regions from 104 candidate genes, including their exons and exon-intron boundaries (11,473 probes, 383.065 kbp in total). The following NGS which included equipment and reagents was performed on an Illumina NEXTSEQ500 platform manufactured by Illumina (San Diego, California, USA) using paired-end sequencing of 110 bp. The clean paired-end reads were aligned to the human reference genome build hg19, which was previously annotated using ANNOVAR, in addition to insertion-deletion (indel) and single-nucleotide polymorphism (SNP) calling.

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Illumina Infinium HumanMethylationEPIC DNA methylation microarray of human donor whole-blood from patients with and without Age-related Macular Degeneration

Project description:DNA methylation microarray analysis was performed on human donor whole blood samples from patients with and without AMD. A total of 30 patient samples including 16 Normal, 3 AREDS grade 2 (early AMD) and 11 AREDS grade 3 (intermediate AMD) (AMD total, n = 14) were selected. Samples were obtained from individuals phenotyped according to the Age-Related Eye Disease Study (AREDS) classification. DNAm levels were measured using the EPIC-array (Illumina Inc., San Diego, CA, USA). Samples run on the EPIC-array were randomized and balanced for disease status and smoking status to minimise chip and row specific effects. The EPIC-array incorporated technical controls into the experimental design. In total, 500 ng (50 ng/μL) total peripheral whole blood-derived gDNA was bisulfite converted using the EZ-96 DNA methylation kit (Zymo Research, Irvine, CA, USA) and hybridised to the EPIC-array according to the manufacturer’s instructions. Quality control analysis was performed using GenomeStudio (v2011.1). Raw IDAT files were then read into R (version 3.31) using the read.metharray.exp function within the minfi package. DNA methylation microarray data was collected in order to assess the estimated DNA methylation age using the Horvath multi-tissue, Hannum and Skin & Blood epigenetic clocks and to identify loci of differential methylation between the experimental groups.

2021-12-31 | E-MTAB-11279 | biostudies-arrayexpress

Chromatin immunoprecipitation of yeast to identify genomic binding locations of yeast transcription machinary factors Reb1, Rpb3, Rpo21, Rsc9, Sua7 and Swr1

Project description:High-resolution genome-wide mapping of the yeast transcription machinery. ChIP-chip was performed to identify the genomic binding locations for each factor. <br><br>Processed data files are also available on the FTP server for this experiment.

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2014-03-14 | E-GEOD-55885 | biostudies-arrayexpress

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