|
Status |
Public on Jan 12, 2017 |
Title |
SEM_NascentRNASeq_Rep3 |
Sample type |
SRA |
|
|
Source name |
Leukemia cell line (SEM)
|
Organism |
Homo sapiens |
Characteristics |
cell line: Leukemia cell line; SEM cell type: Paediatric pro B-cell line derived from ALL with t(4;11)(q21;q23) translocation molecule subtype: nascent RNA
|
Growth protocol |
SEM cells were continuously grown in IMDM with 10-20% FBS, split when they reached a density of 1-2X10e6 down to 5X10e5; all other cell lines were grown in a similar manner in RPMI 1640.
|
Extracted molecule |
total RNA |
Extraction protocol |
ChIP-seq: Fixed cells were lysed in 1% SDS lysis buffer. Samples were sonicated and protein-DNA complexes were isolated with antibody. Nascent RNA-seq: 108 4sU-treated cells were lysed in 10ml Trizol. RNA was extracted using chloroform and precipitated with EtOH. 4sU RNA was biotinylated with 1mg/ml Biotin-HPDP and nascent RNA was enriched for using streptavidin-coated beads. Libraries were prepared according to Illumina's protocol accompanying the DNA Library Prep Master Mix Set (Part# E6040) or Ultra RNA Library Prep Master Mix Set (Part# E7530).
|
|
|
Library strategy |
RNA-Seq |
Library source |
transcriptomic |
Library selection |
cDNA |
Instrument model |
Illumina HiSeq 2500 |
|
|
Description |
processed data file: SEM_nascent_rpkm_table.txt
|
Data processing |
ChIP-seq reads were aligned to the hg18 genome using bowtie version 1.1.2 with following parameters: p1 m2 best strata sam Peaks were called using SeqMonk version 0.24.1 Nascent RNA-seq reads were aligned to the hg18 genome using STAR Read counts were determined using featureCounts (Subread package) Genome_build: hg18 Supplementary_files_format_and_content: bed files were generated from text files outputted directly from SeqMonk; Rpkm tables (.txt) were generated using edgeR
|
|
|
Submission date |
Jun 23, 2016 |
Last update date |
May 15, 2019 |
Contact name |
Thomas Milne |
E-mail(s) |
thomas.milne@imm.ox.ac.uk
|
Organization name |
Weatherall Institute of Molecular Medicine
|
Department |
Molecular Haematology Unit
|
Street address |
John Radcliffe Hospital
|
City |
Oxford |
ZIP/Postal code |
OX3 9DS |
Country |
United Kingdom |
|
|
Platform ID |
GPL16791 |
Series (1) |
GSE83671 |
MLL-AF4 Spreading Identifies Binding Sites that Are Distinct from Super-Enhancers and that Govern Sensitivity to DOT1L Inhibition in Leukemia. |
|
Relations |
BioSample |
SAMN05290471 |
SRA |
SRX1873459 |