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Series GSE121478 Query DataSets for GSE121478
Status Public on Apr 09, 2019
Title Single-cell RNA-sequencing of murine melanoma infiltrating immune cells in wild-type and miR-155 T cell conditional knockout mice
Organism Mus musculus
Experiment type Expression profiling by high throughput sequencing
Summary miR-155 has recently emerged as an important promoter of antitumor immunity through its functions in T lymphocytes. However, the impact of T cell expressed miR-155 on immune cell dynamics in solid tumors remains unclear. In the present study, we used single-cell RNA-sequencing to define the CD45+ immune cell populations within B16F10 murine melanoma tumors growing in either wild-type (WT) or miR-155 T cell conditional knockout (TCKO) mice at different timepoints. miR-155 was required for optimal T cell activation and reinforced the T cell response at the expense of infiltrating myeloid cells. Further, myeloid cells from tumors growing in TCKO mice were defined by an increase in wound healing genes and a decreased IFNg response gene signature. Finally, we found that miR-155 expression predicted a favorable outcome in human melanoma patients and was associated with a strong immune signature. Moreover, gene expression and histological analysis of the Cancer Genome Atlas (TCGA) data revealed that miR-155 expression also correlates with an immune-enriched subtype in 29 other human solid tumor types. Together, our study provides an unprecedented analysis of the cell types and gene expression signatures by immune cells within experimental melanoma tumors and elucidates miR-155’s role in coordinating this dynamic response.
 
Overall design B16F10 murine melanoma cells expressing ovalbumin model antigen were injected subcutaneously (1e6) into wild-type (C57BL/6) and miR-155 T cell conditional knockout mice (n>4). 9 or 12 days after injection, tumors were pooled in each group, and DAPI(-)CD45(+) live tumor infiltrating immune cells were sorted via flow cytometry. Sorted immune cells were processed for single-cell RNA-sequencing via 10x platform.
 
Contributor(s) Huffaker TB, Ekiz HA, O'Connell RM
Citation(s) 30721153
Submission date Oct 18, 2018
Last update date Apr 09, 2019
Contact name Ryan O'Connell
Organization name University of Utah
Department Pathology
Lab OCONNELL
Street address PAR-16-434
City Holl
State/province UT
ZIP/Postal code 84117
Country USA
 
Platforms (1)
GPL17021 Illumina HiSeq 2500 (Mus musculus)
Samples (4)
GSM3436987 Wild-type (day 9)
GSM3436988 miR-155 TCKO (day 9)
GSM3436989 Wild-type (day 12)
Relations
BioProject PRJNA497439
SRA SRP166099

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Supplementary file Size Download File type/resource
GSE121478_RAW.tar 78.2 Mb (http)(custom) TAR (of MTX, TSV)
SRA Run SelectorHelp
Raw data are available in SRA
Processed data provided as supplementary file

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