B16-F10 RNA-Seq
Ontology highlight
ABSTRACT:
REPOSITORIES: ENA
Similar Datasets
Project description:RNA-Seq of B16-F10 mouse melanoma cell line and gene expression profiling
2014-01-31 | E-MTAB-2271 | biostudies-arrayexpress
Project description:The objective of this study was to profile B16-F10 cells grown in vitro on the extracelllular matrix generated by SMCs treated with siRNA and conditioned media
2017-09-19 | GSE96972 | GEO
Project description:To contrast and compare the transcriptomes of poorly metastatic B16 sub-clones F0 and F1 to the highly metastatic sub-clone F10.
2021-08-31 | GSE182970 | GEO
Project description:IRF4 deficient NK cells displayed more resistant to exhaustion during B16-F10 metastasis, to investigate how IRF4 deletion enhances the resistance of NK cells to exhaustion, we sorted NK cells from WT and Irf4-/- mice ingected with B16-F10 or not for RNA-seq
2023-12-05 | GSE249188 | GEO
Project description:Purpose: RNA-sequencing analysis defined a novel role for PRMT7 in melanoma cancer immunotherapy. Methods: PRMT7-deficient cells and control B16.F10 cells treated with mIFN-γ (100ng/ml) for 24 hours. B16.F10 melanoma cells mRNA profiles were generated by deep sequencing, in triplicate using TruSeq Stranded mRNA Sample Prep Kit with TruSeq Unique Dual Indexes (Illumina, Hiseq4000, SR75 platform located at San Diego, CA; UCSD IGM Genomics Facility, La Jolla, CA). Resulting libraries were multiplexed and sequenced with 100 base pair (bp) to a depth of approximately 30 million reads per sample. The sequence reads that passed quality filters were trimmed with Trimmomatic v0.39. STAR v2.7.1a was then used to align the reads to the mouse genome (mm10/GRCm38). Gene expression was quantified across all samples with HOMER v4.11.1, and the normalization was carried out through the regularized logarithm (rlog) transformation of DESeq2 v1.26.0. Differential expression between PRMT7 WT and knockdown samples were calculated through DESeq2 v1.26.0, and the gene expression was considered significantly different if the absolute value of the log-fold-change (LFC) was higher than 2, the base means larger than 10 and the false discovery rate (FDR) less than 0.05. Results: Differential expression analysis between the siLuc and siPRMT7 conditions yielded 185 and 251 genes with statistically significant differences and absolute fold change greater than 2 in the IFN– and IFN+ treatments respectively. Of these, 85% of genes are upregulated in the IFN– treatment, while 72% of genes are downregulated in the IFN+ treatment. Gene ontology analysis using the 185 and 251 lists of differentially expressed genes implies that the downregulated biological processes are enriched for the immune response pathways, while upregulated genes are more involved in the cell cycle process. Altered expression of some genes was confirmed with qRT–PCR, demonstrating the high degree of sensitivity of the RNA-seq method. Hierarchical clustering of differentially expressed genes uncovered several as yet uncharacterized genes that may contribute to better understand PRMT7 function in cancer immunotherapy. Conclusions: Our study represents the first detailed analysis of B16.F10 melanoma transcriptomes without PRMT7 expression, with biologic replicates, generated by RNA-seq technology. We conclude that RNA-seq based transcriptome characterization would expedite genetic network analyses and permit the dissection of PRMT7 biologic functions in modulating melanoma transcriptome.
2022-03-01 | GSE157141 | GEO
Project description:F-box only protein 38 (FBXO38), which belongs to SKP1-CUL1-F-box protein (SCF) family, exhibits the ability to mediate Lys48-linked poly-ubiquitination and subsequent proteasome degradations of PD-1.To investigate the effect of FBXO38 knockdown on transcription in tumor, we performed RNA-seq in control and FBXO38 knockdown B16-F10 tumor issue.
2024-02-07 | GSE246258 | GEO
Project description:The mouse melanoma cell line B16-F10 provided by American Type Culture Collection (ATCC® CRL-6475™) were treated with DMSO, G007-LK, WNT or G007-LK+WNT, done in triplicates for a total of 12 samples.
2021-07-01 | E-MTAB-8101 | biostudies-arrayexpress
Project description:B16-F10 malignant mouse melanoma cells have been frequently used as highly metastatic cells. Based on heterogenous cell surface expression of Met/HGF (hepatocyte growth factor) receptor in B16-F10 cells, the cells were divided into Met-low and Met-high cells by flow cytometry and these populations were subjected to microarray analysis. Met-low and Met-high cells showed different expression profiles in genes involved characteristics of tumors, including stem cell maintenance, pigmentation, and angiogenesis.
2016-09-25 | GSE69741 | GEO
Project description:Three types of stimuli -- heat shock, Lipofectamine 2000 and benzyl alcohol -- induce activity of some stress genes (hsp) in mouse B16-F10 cells. Besides hsp genes induction, each stimulus causes gene expression changes of different sets of genes. We used microarrays to analyze global gene expression changes in mouse B16-F10 cells treated with elevated temperature (heat shock, HS), with Lipofectamine 2000 (LA) or with 40mM benzyl alcohol (BA). In order to study how lipofection may affect cellular homeostasis, we used Affymetrix microarrays to analyze the whole transcriptome of mouse B16-F10 cells treated with Lipofectamine 2000. To find out which genes are affected, we compared the cells treated with Lipofectamine (LA1, LA2, LA3), the cells treated with 40mM benzyl alcohol (BA1, BA2, BA3), heat-shocked cells (HS1, HS2, HS3) and control, untreated cells (C1-5). RNA was extracted from cells 30 min after treatment.
2011-06-04 | E-GEOD-29743 | biostudies-arrayexpress
Project description:Characterization of the immune profile (i.e. tumor RNA) of a murine B16.F10 tumor 6 hours post a single 100 µL intratumoral injection of 2 µg NanoISD, Free D-PDB at an equivalent dose, or PBS.
2021-09-01 | GSE183144 | GEO