NCBI Logo
GEO Logo
   NCBI > GEO > Accession DisplayHelp Not logged in | LoginHelp
GEO help: Mouse over screen elements for information.
          Go
Sample GSM7779392 Query DataSets for GSM7779392
Status Public on May 22, 2024
Title LX-2_TEAD4_ChIPseq_rep2
Sample type SRA
 
Source name LX-2
Organism Homo sapiens
Characteristics cell line: LX-2
cell type: Hepatic Stellate Cells
treatment: DMSO
Growth protocol LX-2 cells were cultured in Dulbecco’s Modified Eagle Medium (DMEM, GibcoTM) supplemented with 5% fetal bovine serum (FBS, Deutscher).
Extracted molecule genomic DNA
Extraction protocol Cells were crosslinked for 10 min at room temperature with 1% formaldehyde (FA). Samples were processed as in Dubois V. et al Mol Syst Biol 2020.
DNBseq sequencing was performed; read Length: SE50
 
Library strategy ChIP-Seq
Library source genomic
Library selection ChIP
Instrument model DNBSEQ-T7
 
Data processing After initial quality controls of fastq files, raw data were mapped to hg38 using Chromap (v0.1.3-R256) and the following parameters: error threshold: 8, min-num-seeds: 2, max-‑seed-‑frequency: 500,1000, max-num-best-mappings: 1, max-insert-size: 1000, MAPQ‑threshold: 10, min-read-length: 30, bc-error-threshold: 1, bc-probability-threshold: 0.90.
Bam files for TEAD4 ChIP-seq data (n=3 biological replicates) were analyzed using the Irreproducible Discovery Rate (IDR), which allows to identify TF binding peaks that are reproducible and rank-concordant across replicates (Ref). This was performed using the IDR pipeline from ENCODE version 2.2.1 installed from https://github.com/ENCODE-DCC/chip-seq-pipeline2/tree/master (Ref). IDR identified that only 2 replicates were concordant enough (replicates 1 and 3), which were therefore used to re-run IDR and identify TEAD4 binding peaks and obtain a TEAD4 ChIP-seq signal track
Assembly: hg38
Supplementary files format and content: IDR identified TEAD4 peaks (bed file)
Supplementary files format and content: TEAD4 IDR issued average fold enrichment over input (bigwig file)
 
Submission date Sep 13, 2023
Last update date May 22, 2024
Contact name Jérôme Eeckhoute
E-mail(s) jerome.eeckhoute@inserm.fr
Organization name CNRS
Lab INSERM UMR 1011, Université Lille-Nord de France
Street address Bâtiment J&K, Faculté de Médecine de Lille-Pôle Recherche, Boulevard du Professeur Leclerc
City Lille
ZIP/Postal code 59045
Country France
 
Platform ID GPL29480
Series (2)
GSE243104 O-GlcNAcylation controls pro-fibrotic transcriptional regulatory signaling in hepatic stellate cells (HSCs)
GSE243107 O-GlcNAcylation controls pro-fibrotic transcriptional regulatory signaling in hepatic stellate cells
Relations
BioSample SAMN37387045
SRA SRX21773500

Supplementary data files not provided
SRA Run SelectorHelp
Raw data are available in SRA

| NLM | NIH | GEO Help | Disclaimer | Accessibility |
NCBI Home NCBI Search NCBI SiteMap