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Sample GSM3610237 Query DataSets for GSM3610237
Status Public on Jun 27, 2019
Title h_MeCP2_OE_CMV_E6_105
Sample type SRA
 
Source name LUHMES-derived neurons
Organism Homo sapiens
Characteristics tissue: LUHMES-derived neurons
cell line name: OE 11x
differentiation: 105
developmental stage: day9
mecp2 expression level: 9.94
Treatment protocol Cells were modified using CRISPR system for KO and infected with lentiviruses carrying MeCP2 for OE.
Growth protocol LUHMES cells were cultured and differentiated according to published protocol (Shah et al., 2016).
Extracted molecule total RNA
Extraction protocol Total RNA was isolated from all generated cell lines at day 9 of differentiation using either an RNeasy Mini kit or an AllPrep DNA/RNA Mini kit (Qiagen). Genomic DNA contamination was removed with a DNA-free kit (Ambion) and remaining DNA-free RNA was tested for purity using PCR for GAPDH genomic locus. Total RNA was tested on 2100 Bioanalyzer (Agilent Technologies) to ensure a RIN quality higher than 9 and quantified using Nanodrop.
Equal amounts of total RNA (1 µg to 2.5 µg) were taken forward for library preparation and ERCC RNA Spike-in control mixes (Ambion) were added according to manufacturer guide. Ribosomal RNA was depleted using the Ribo-Zero Gold rRNA Removal module (Epicentre, Illumina) and isolated mRNA was tested for purity on 2100 Bioanalyzer (Agilent Technologies). mRNA was quantified with Qubit and equal amounts used for cDNA synthesis and 3’ terminal tagging using ScriptSeq v2 RNA-seq library preparation kit (Epicentre, Illumina). The library was PCR amplified to add adaptors and barcodes.
ScriptSeq v2 RNA-seq library preparation kit
 
Library strategy RNA-Seq
Library source transcriptomic
Library selection cDNA
Instrument model Illumina HiSeq 2500
 
Data processing Sequenced reads were trimmed for adaptor sequence, and filtered for low-complexity or low-quality sequence using Trimmomatic v0.33 with arguments -threads 10 input.1.fastq.gz input.2.fastq.gz output.1.trimmed.fastq.gz output.1U.trimmed.fastq.gz output.2.trimmed.fastq.gz output.2U.trimmed.fastq.gz ILLUMINACLIP:TruSeq2-PE.fa:2:30:10 LEADING:3 TRAILING:3 SLIDINGWINDOW:4:30 MINLEN:30
Trimmed and high quality reads were aligned using STAR v2.4.2a on index created using hg19 genome assembly and Ensembl 74 annotation. Software parameters are as follows STAR --runThreadN 10 --runMode alignReads --genomeDir hg19 --genomeLoad LoadAndKeep --readFilesCommand zcat --outFilterIntronMoti fs RemoveNoncanonicalUnannotated --outSAMtype BAM SortedByCoordinate --limitBAMsortRAM 80000000000 --outFileNamePrefix output.STAR. --readFilesIn output.1.trimmed.fastq.gz output.2.trimmed.fastq.gz
Normalized bigwig tracks were generated using Bedtools genomeCoverageBed program with parameters genomeCoverageBed -ibam input.bam -split -bg -g hg19.fa.fai -scale no_mapped_reads > output.bg and then bedgraph files were converted to bigwig files using UCSC tools bedGraphToBigWig utility
SubRead v1.5.0 package was use to assign read pairs to genes and generate count tables. The following parameters were used: featureCounts -T 10 -p -s 1 –primary -t exon -g gene_id -a annotation.gtf -o counts.tsv input.bam
Sequenced reads were quasi-mapped and gene expression was quantified using sailfish v0.10.0 using Gencode v19 annotation as index. The following parameters were used: sailfish quant -i gencode.v19.index -o outdir -p 12 -1 input.1.fastq.gz -2 input.2.fastq.gz –enforceLibCompat -g gencode.v19.index.genes –numBootstraps 20 –biasCorrect -l IU
Genome_build: hg19
Supplementary_files_format_and_content: bigWig
 
Submission date Feb 15, 2019
Last update date Jun 27, 2019
Contact name Shaun Michael Webb
E-mail(s) shaun.webb@ed.ac.uk
Organization name University of Edinburgh
Department Wellcome Trust Centre for Cell Biology
Lab Bioinformatics Core Facility
Street address 2.21 Swann Building, Kings Buildings
City Edinburgh
ZIP/Postal code EH9 3JR
Country United Kingdom
 
Platform ID GPL16791
Series (2)
GSE125660 Study of MeCP2 in LUHMES-derived neurons
GSE126640 Investigation of transcriptional changes in cells expressing different levels of MeCP2
Relations
BioSample SAMN10954134
SRA SRX5383219

Supplementary file Size Download File type/resource
GSM3610237_h_MeCP2_OE_CMV_E6_105.bigWig 267.4 Mb (ftp)(http) BIGWIG
SRA Run SelectorHelp
Raw data are available in SRA
Processed data provided as supplementary file
Processed data are available on Series record

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