Sample information curated by ChIP-Atlas

Antigen

Antigen Class
Unclassified
Antigen
Unclassified

Cell type

Cell type Class
Blood
Cell type
Dendritic Cells
MeSH Description
ANTIGEN-PRESENTING CELLS of dendritic cell morphology found in the LYMPH NODES and other lymphoid tissues.

Attributes by original data submitter

Sample

source_name
Monocyte-derived dendritic cells
condition
Non-infected
chip anitbody
H3K4me3 (CST, 9751BC, 7)

Sequenced DNA Library

library_strategy
ChIP-Seq
library_source
GENOMIC
library_selection
ChIP
library_construction_protocol
DNA from infected and non-infected DCs was extracted using the PureGene DNA extraction kit (Gentra Systems). Samples from infected and non-infected DCs from two individuals were crosslinked with 1% w/v formaldehyde for 10 min at RT and immediately quenched for 5 min with 125mM Glycine at RT. The formaldehyde fixed samples were then sonicated to 100-400 bp using a Bioruptor (Diagenode) and then ChIP-DNA prepared using the IP-Star Compact (Diagenode) Indirect method with an Antibody-Antigen incubation of 10 hr, Bead incubation of 2 hr, and 4x 20 min wash steps. Approximately 1 million cells were used for each ChIP and ~50,000 cells for the input. The following antibodies were used: H3K4me1 (Company: CST, Cat. No.: 5326P, Lot No.: 1), H3K4me3 (CST, 9751BC, 7), H3K9me3 (MABI, 0318, 13001), H3K27me3 (MABI, 0323, 13001), H3K27ac (Abcam, Ab4729, GR119051), and H3K36me3 (MABI, 0333, 12003). ChIP and Input libraries were prepared using the Illumina Truseq Nano DNA kit, with alterations including: PCR enrichment (14 cycles) prior to size selection and utilizing the PippinPrep method (SAGE Science) instead of the SPRI method for size selection (200-400 bp).

Sequencing Platform

instrument_model
Illumina HiSeq 2000

hg38

Number of total reads
30724309
Reads aligned (%)
99.2
Duplicates removed (%)
14.1
Number of peaks
35694 (qval < 1E-05)

hg19

Number of total reads
30724309
Reads aligned (%)
98.6
Duplicates removed (%)
14.8
Number of peaks
35558 (qval < 1E-05)

Base call quality data from DBCLS SRA