|
| Status |
Public on Dec 06, 2021 |
| Title |
BB-control for IG-6 |
| Sample type |
SRA |
| |
|
| Source name |
transduced engrafted human cells sorted from spleen of engrafted mouse
|
| Organism |
Homo sapiens |
| Characteristics |
cell type: hCD45+ GFP+ sorted cells
source: Human (sorted from mouse)
|
| Treatment protocol |
After engraftment, 4000-20000 human non T (hCD45+CD3-) transduced (GFP+/CRLF2+) cells were sorted from engrafted mice spleensdirectly into TRIzol .
|
| Growth protocol |
CB human cells from several batches were transduced with CRLF2-IL7RAins or BB control lenti viruses.
|
| Extracted molecule |
total RNA |
| Extraction protocol |
total RNA was extracted from trizol ccording to manufacturer's protocol
cDNA libraries were prepared using SMARTer v3 kit (Clontech Laboratories, Inc. A Takara Bio Company, Mountain View, CA, USA)
Nextera-XT indexing protocols (Illumina, CA, USA).
|
| |
|
| Library strategy |
RNA-Seq |
| Library source |
transcriptomic |
| Library selection |
cDNA |
| Instrument model |
Illumina NextSeq 500 |
| |
|
| Description |
IG-4
|
| Data processing |
Reads were trimmed using cutadapt
After trimming, the reads were mapped to the human genome (hg19) using STAR
Counting proceeded over genes annotated in Ensembl using htseq-count
Normalization and differential expression was performed using DESeq2
Genome_build: hg19
Supplementary_files_format_and_content: Processed file include DESeq2 normalized counts
|
| |
|
| Submission date |
Dec 02, 2021 |
| Last update date |
Dec 06, 2021 |
| Contact name |
Dan Ben-Avraham |
| E-mail(s) |
[email protected]
|
| Organization name |
Weizmann Institute of Science
|
| Department |
Grand Israel National Center for Personalized Medicine
|
| Lab |
Mantoux Institute for Bioinformnatics
|
| Street address |
Hertzel 234
|
| City |
Rehovot |
| ZIP/Postal code |
7610001 |
| Country |
Israel |
| |
|
| Platform ID |
GPL18573 |
| Series (1) |
| GSE190070 |
An instructive role for Interleukin-7 receptor α in the development of human B-cell precursor leukemia |
|
| Relations |
| BioSample |
SAMN23573933 |
| SRA |
SRX13293492 |
