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Sample GSM5726719 Query DataSets for GSM5726719
Status Public on Jun 07, 2023
Title A99_IgG_CUT
Sample type SRA
 
Source name A99
Organism Homo sapiens
Characteristics cell line: GIS-NEC (ASCL1 positive)
antibody catalog/vendor: PP64B, Merck Millipore
antibody: IgG
Treatment protocol CUT&Tag: 100,000 cells were prepared and bound to concanavalin-coated magnetic beads. After permeabilizing the cells with digitonin, a primary antibody was added and incubated at room temperature for 2 hours. Next, a secondary antibody was added and incubated at room temperature for 1 hour. The beads were washed and CUTANA pAG-Tn5 for CUT&Tag was bound to the secondary antibody. After incubated with a solution containing Mg2+ to cleave the target DNA, the DNA was extracted and amplified by PCR. The PCR product was purified using AMPureXP magnetic beads. Sequence libraries were pooled at 5 nM.
Growth protocol ATAC-seq: 50,000 nuclei were prepared for each cell and incubated with transposition buffer containing Tagment DNA Enzyme1 and Tagment DNA Buffer. The transposed fragment was amplified by PCR and the PCR product was purified using AMPure XP beads. The sequence library was pooled at 5 nM.
Extracted molecule genomic DNA
Extraction protocol ChIP-seq: 5.0 × 107 fixed cells were lysed to prepare nuclear extracts. Chromatin was sheared by sonication and the lysates were incubated overnight at 4°C with Dynabeads protein A coupled with anti-H3K4me3 and anti-H3K27ac antibody. After immunoprecipitation, beads were recovered using a magnet and washed; next, chromatin was eluted, and cross-links were reverted overnight at 65°C. DNA was purified and quantified with the Agilent Bioanalyzer.
RNA-seq: Total RNA was extracted using a RNeasy Mini kit. Libraries were prepared using TruSeq stranded mRNA Sample Preparation Kit according to manufacturer's protocol.
 
Library strategy OTHER
Library source genomic
Library selection other
Instrument model HiSeq X Ten
 
Data processing Library strategy: CUT&Tag
ATAC-seq: Reads were aligned against GRCh38 by Bowtie2 (version 2.3.5.1) with the following parameters: --very-sensitive --local --no-mixed --no-discordant -I 10 -X 2000. Duplication reads were removed by picard MarkDuplicates (version 2.23.8) and peak calling was performed with Genrich (version 0.6, available at https://github.com/jsh58/Genrich) with default parameters.
CUT&Tag: Quality control, alignment and removal of duplication reads was performed using the same pipeline with ATAC-seq. Peak calling was performed by SEACR (version 1.4) for H3K27ac (relaxed mode with using non-normalized IgG control track), H3K4me3 (stringent mode with using non-normalized IgG control track) and ELF3 (stringent mode without IgG control track with following parameter: -c 0.01)) and SICER2 (version 1.0.3) for H3K27me3.
ChIP-seq: Reads were mapped to GRCh38 using Bowtie2. Peak calling was performed using MACS2 with the following parameters: -q 0.0001. The input DNA sequence was used as a control.
RNA-seq: STAR (version 2.7.0f) was used for alignment against GRCh38 and read counts were calculated by RSEM (version 1.2.28) with TPM normalization.
Genome_build: GRCh38
Supplementary_files_format_and_content: bed
Supplementary_files_format_and_content: gene.result
 
Submission date Dec 10, 2021
Last update date Jun 07, 2023
Contact name Masafumi Horie
E-mail(s) mhorie-tky@umin.ac.jp
Organization name University of Southern California
Street address 2011 Zonal Ave
City Los Angeles
ZIP/Postal code 90033
Country USA
 
Platform ID GPL20795
Series (1)
GSE190618 The role of ELF3 in GIS-NEC and SCLC
Relations
BioSample SAMN23845321
SRA SRX13373942

Supplementary data files not provided
SRA Run SelectorHelp
Raw data are available in SRA
Processed data not applicable for this record

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