Sample information curated by ChIP-Atlas

Antigen

Antigen Class
Histone
Antigen
H3K27me3

Cell type

Cell type Class
Digestive tract
Cell type
Intestines
MeSH Description
The section of the alimentary canal from the STOMACH to the ANAL CANAL. It includes the LARGE INTESTINE and SMALL INTESTINE.

Attributes by original data submitter

Sample

source_name
Intestine
tissue
Intestine
strain
C57BL/6
age
P6
chip antibody
H3K27me, Millipore #07-449

Sequenced DNA Library

library_strategy
ChIP-Seq
library_source
GENOMIC
library_selection
ChIP
library_construction_protocol
Cells were crosslinked with 0.5% formaldehyde and lysated. Lysates were clarified from sonicated nuclei and protein-DNA complexes were isolated with antibody. DNA purification with GFX Kit [GE Healthcare Life Sciences Ref.28-9034-71] Samples were digested with 0.1% collagenase and single-cell suspension was stained as described. Different subpopulations were directly sorted in a total volume of 10  ml of reaction buffer and processed for obtaining cDNA following manufacture's protocol. cDNA amplification was performed by Long Distance PCR (LD-PCR) and the PCR-amplified cDNA purified by immobilization on AMPure XP beads (Agencourt AMPure XP kit). Samples were analyzed with Agilent High Sensitivity DNA Kit (Agilent, Cat. No. 5067-4626). Covaris shearing was used for Illumina Low input sample preparation and Double last bead purification was performed to remove fragments below 200 bp. Next, samples were used to generate an Illumina sequencing library by NEBNext Ultra protocol following kit instructions. After PCR amplification of the library, the quality was checked on a Bioanalyzer and total cDNA was sequenced using an Illumina HiSeq 2000 sequencer.

Sequencing Platform

instrument_model
Illumina HiSeq 2000

mm10

Number of total reads
25615834
Reads aligned (%)
97.9
Duplicates removed (%)
9.7
Number of peaks
1479 (qval < 1E-05)

mm9

Number of total reads
25615834
Reads aligned (%)
97.7
Duplicates removed (%)
9.8
Number of peaks
1497 (qval < 1E-05)

Base call quality data from DBCLS SRA