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Status |
Public on Jun 14, 2022 |
Title |
4T1 mouse tumour single cell dataset for virtual reality exploration |
Organism |
Mus musculus |
Experiment type |
Expression profiling by high throughput sequencing
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Summary |
50,000 cells were injected orthotopically into the inguinal fat pad of a Nod-Scid-Gamma (NSG) immuno-compromised mouse. Injected cells were 80% unlabelled 4T1 cells (parental population), and 20% ZsGreen-labelled 4T1-T cells (clone isolated in Wagenblast et Al, Nature, 2015). Tumour were allowed to develop for 20 days, and then collected during necropsy. Disaggegated cells were processed through the 10X genomics Single Cell 3' gene expression pipeline. This data is intended as an example dataset for a novel virtual reality viewer for single-cell data described in Bressan et Al, Nat. Cancer, 2021 (submitted)
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Overall design |
Two replicate animals, injected at the same time from the same pool of cells. One time point
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Contributor(s) |
Hannon GJ, Bressan D |
Citation missing |
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Submission date |
Jun 13, 2021 |
Last update date |
Jun 15, 2022 |
Contact name |
Dario Bressan |
E-mail(s) |
Dario.Bressan@cruk.cam.ac.uk
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Organization name |
University of Cambridge
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Department |
CRUK Cambridge Institute
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Lab |
IMAXT
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Street address |
Li Ka Shing Centre, Robinson Way
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City |
Cambridge |
State/province |
Cambridgeshire |
ZIP/Postal code |
CB2 0RE |
Country |
United Kingdom |
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Platforms (1) |
GPL24247 |
Illumina NovaSeq 6000 (Mus musculus) |
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Samples (2) |
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Relations |
BioProject |
PRJNA737273 |
SRA |
SRP323852 |