|
| Status |
Public on Jul 14, 2023 |
| Title |
Mouse/human library mix 48hrs SGC0946 K562 cells -ChIP H3k79me2 |
| Sample type |
SRA |
| |
|
| Source name |
CML
|
| Organism |
Homo sapiens |
| Characteristics |
cell type: K562
time point: 48hrs
chip antibody: H3K79me2 Ab GR240609-1 ab3594
|
| Treatment protocol |
K562 and MLLAF9 Cas9 cells (100x10^6 per cell line) were infected with the pooled lentiviral sgRNA libraries at a multiplicity of infection of 0.3. Infected cells were selected with 2ug/ml puromycin for 72hrs, commencing 48hrs after transduction. ~ 100x10^6 cells were fixed/sonicated and ChIP performed at day 6 (H3K4me3) and day 9 (H3K79me2).
|
| Growth protocol |
Cells were cultured in RPMI-1640 supplemented with 2mM Glutamax, 100IU/ml Penicillin, 100 ug/ml Streptomycin and 10%HI-FCS in 5% CO2 37degrees.
|
| Extracted molecule |
genomic DNA |
| Extraction protocol |
Genomic DNA was extracted using Blood and tissue genomic DNA kit, Qiagen
One-step PCR was performed, containing adaptors for Illumina sequencing.
|
| |
|
| Library strategy |
OTHER |
| Library source |
genomic |
| Library selection |
other |
| Instrument model |
Illumina NextSeq 500 |
| |
|
| Description |
H3K79me2 ChIP from mouse/human mixed cells
Custom targeted epigenetic library
|
| Data processing |
Bcl2fastq (Illumina) was used to convert BCL files to Fastq files
Reads were trimmed to remove adapter with fastx clipper or cutadapt
Trimmed reads were aligned to the reference sgRNA library with bowtie2
After filtering to remove multi-aligning reads, the read counts were computed for each sgRNA.
The RSA algorithm was used to rank the genes for which targeting sgRNA were significantly enriched in the sorted populations compared to the control unsorted populations grown in parallel.
Supplementary files format and content: Guide Counts file
Library strategy: CRISPR-seq
|
| |
|
| Submission date |
Oct 12, 2022 |
| Last update date |
Jul 14, 2023 |
| Contact name |
Mark Dawson |
| E-mail(s) |
mark.dawson@petermac.org
|
| Organization name |
Peter MacCallum Cancer Centre
|
| Department |
Cancer Research
|
| Street address |
305 Grattan Street
|
| City |
Melbourne |
| ZIP/Postal code |
3000 |
| Country |
Australia |
| |
|
| Platform ID |
GPL18573 |
| Series (2) |
| GSE192544 |
CRISPR-ChIP to identify mechanisms of chromatin regulation [CRISPR-ChIP] |
| GSE192562 |
CRISPR-ChIP to identify mechanisms of chromatin regulation |
|
| Relations |
| BioSample |
SAMN31251038 |
| SRA |
SRX17858245 |
