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Status |
Public on Apr 16, 2024 |
Title |
Unbiased profiling of clinical kinase inhibitors’ effects in activated macrophages using chromatin modifications as high-content readouts |
Organism |
Mus musculus |
Experiment type |
Expression profiling by high throughput sequencing Genome binding/occupancy profiling by high throughput sequencing Other
|
Summary |
This SuperSeries is composed of the SubSeries listed below.
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Overall design |
Refer to individual Series
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|
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Citation(s) |
38724853 |
|
Submission date |
Dec 02, 2022 |
Last update date |
Jun 26, 2024 |
Contact name |
Francesco Gualdrini |
E-mail(s) |
Francesco.gualdrini@ieo.it
|
Organization name |
European Institute of Oncology
|
Department |
Department of Experimental Oncology
|
Lab |
Transcriptional Control in Inflammation and Cancer
|
Street address |
Via Adamello, 16
|
City |
Milan |
ZIP/Postal code |
20139 |
Country |
Italy |
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Platforms (2) |
GPL19057 |
Illumina NextSeq 500 (Mus musculus) |
GPL24247 |
Illumina NovaSeq 6000 (Mus musculus) |
|
Samples (789)
|
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This SuperSeries is composed of the following SubSeries:
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GSE218966 |
Unbiased profiling of clinical kinase inhibitors’ effects in activated macrophages using chromatin modifications as high-content readouts [ATAC-Seq] |
GSE218968 |
Unbiased profiling of clinical kinase inhibitors’ effects in activated macrophages using chromatin modifications as high-content readouts [Chromatin associated RNA-seq] |
GSE219229 |
Unbiased profiling of clinical kinase inhibitors’ effects in activated macrophages using chromatin modifications as high-content readouts [RNA-Seq] |
GSE219239 |
Unbiased profiling of clinical kinase inhibitors’ effects in activated macrophages using chromatin modifications as high-content readouts [ChIP-Seq] |
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Relations |
BioProject |
PRJNA907787 |