|
| Status |
Public on Mar 01, 2019 |
| Title |
Defining transcription factor networks that govers SCC growth [ChIP_seq_mm10] |
| Organism |
Mus musculus |
| Experiment type |
Genome binding/occupancy profiling by high throughput sequencing
|
| Summary |
ChIP-seq analyses were perform to define the distribution of Pitx1, Sox2, Trp63 and Klf4 through the genome and define their interactions in SCC.
|
| |
|
| Overall design |
ChIP-seq sequencing was done on TPC issolated from tumors or cultures cells in un differentiated or differentiated conditions. ChIPs for shPitx1 experimentes were performed 48 hours after Pitx1 depletion in replicates
|
| |
|
| Contributor(s) |
Ana S, Markus S |
| Citation(s) |
30713093 |
| |
| Submission date |
Sep 22, 2017 |
| Last update date |
Jul 25, 2021 |
| Contact name |
Markus Schober |
| E-mail(s) |
markus.schober@nyulangone.org
|
| Organization name |
New York University School of Medicine
|
| Department |
Dermatology
|
| Street address |
550 First Ave, Smilow 407
|
| City |
New York |
| State/province |
NY |
| ZIP/Postal code |
10016 |
| Country |
USA |
| |
|
| Platforms (2) |
| GPL17021 |
Illumina HiSeq 2500 (Mus musculus) |
| GPL21103 |
Illumina HiSeq 4000 (Mus musculus) |
|
| Samples (22)
|
|
| This SubSeries is part of SuperSeries: |
| GSE104145 |
Defining transcription factor networks that govers SCC growth |
|
| Relations |
| BioProject |
PRJNA411823 |
| SRA |
SRP118688 |
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