Sample information curated by ChIP-Atlas

Antigen

Antigen Class
Input control
Antigen
Input control

Cell type

Cell type Class
Blood
Cell type
Macrophages
MeSH Description
The relatively long-lived phagocytic cell of mammalian tissues that are derived from blood MONOCYTES. Main types are PERITONEAL MACROPHAGES; ALVEOLAR MACROPHAGES; HISTIOCYTES; KUPFFER CELLS of the liver; and OSTEOCLASTS. They may further differentiate within chronic inflammatory lesions to EPITHELIOID CELLS or may fuse to form FOREIGN BODY GIANT CELLS or LANGHANS GIANT CELLS. (from The Dictionary of Cell Biology, Lackie and Dow, 3rd ed.)

Attributes by original data submitter

Sample

source_name
alveolar macrophage
strain
FVB/NJ backcross to C57BL/6 over 10 generations
tissue
lung
cell type
alveolar macrophage
age
8-12 weeks
genotype
wild-type
chip antibody
none

Sequenced DNA Library

library_strategy
ChIP-Seq
library_source
GENOMIC
library_selection
ChIP
library_construction_protocol
The CD45+CD11c+SiglecF+ lung alverolar macrophages (AMs) were sorted by FACS Aria II flow cytometer. Cell pellets from the freshly isolated AMs were directly frozen at -80°C. The samples were then submitted to EpiGentek for ChIP, library preparation, and sequencing. The cells were fixed with 1% formaldehyde and chromatin was isolated using ChromaFlashTM Chromatin Extraction Kit. Chromatin was sheared using the Episonic2000 Sonicatin System. ChIP was performed using an antibody against HDAC3, H3K27ac or H3K9ac on the chromatin and Input DNA (without immunoprecipitation) was used as background. After adapter linking, library was size-selected (100-300 bp) and PCR-amplified. Ten nanomolar of sample libraries were provided for next generation sequencing.

Sequencing Platform

instrument_model
Illumina HiSeq 4000

mm10

Number of total reads
34257758
Reads aligned (%)
38.0
Duplicates removed (%)
83.9
Number of peaks
3159 (qval < 1E-05)

mm9

Number of total reads
34257758
Reads aligned (%)
37.5
Duplicates removed (%)
84.2
Number of peaks
3206 (qval < 1E-05)

Base call quality data from DBCLS SRA