|
| Status |
Public on Apr 19, 2022 |
| Title |
Next generation sequencing quantitatively analyzes transcriptomes of primary CLL cells tranfected with non-specific control (NSC) or ZAP-70 siRNA |
| Organism |
Homo sapiens |
| Experiment type |
Expression profiling by high throughput sequencing
|
| Summary |
This SuperSeries is composed of the SubSeries listed below.
|
| |
|
| Overall design |
Refer to individual Series
|
| |
|
| Citation(s) |
33619528 |
| |
| Submission date |
Apr 21, 2020 |
| Last update date |
Apr 19, 2022 |
| Contact name |
Irina Mohorianu |
| E-mail(s) |
data-submissions@stemcells.cam.ac.uk
|
| Organization name |
University of Cambridge
|
| Department |
Wellcome-MRC Cambridge Stem Cell Institute
|
| Street address |
Puddicombe Way
|
| City |
Cambridge |
| ZIP/Postal code |
CB2 0AW |
| Country |
United Kingdom |
| |
|
| Platforms (1) |
| GPL20301 |
Illumina HiSeq 4000 (Homo sapiens) |
|
| Samples (23)
|
|
| This SuperSeries is composed of the following SubSeries: |
| GSE149020 |
Next generation sequencing quantitatively analyzes transcriptomes of primary CLL cells tranfected with non-specific control (NSC) or ZAP-70 siRNA (-anti-IgM dataset) |
| GSE149021 |
Next generation sequencing quantitatively analyzes transcriptomes of primary CLL cells tranfected with non-specific control (NSC) or ZAP-70 siRNA (+anti-IgM dataset) |
|
| Relations |
| BioProject |
PRJNA627153 |
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