Similar Datasets
Project description:Purpose: Next-generation sequencing (NGS) has revolutionized systems-based analysis of cellular pathways. The goals of this study are using transcriptome profiling (RNA-seq) to evaluate the effects of lactoferrin deficiency on the global transcriptome of the lung microenvironment of the B16 metastasis mice model. Methods: 2×10^5 B16-F10 cells were injected into WT and lactoferrin kncoutout (Lf-/-) mice (each group has 10 eight-weeks-old male mice) through tail vein. At 3 weeks post injection,the paracancerous lung tissue were isolated (not including any metastatic colonies). RNAs were extracted by Trizol and sequenced by Solexa high-throughput sequencing service (Oebiotech, Shanghai, China). Data were extracted and normalized according to the manufacturer’s standard protocol.Each group has two mice paracancerous lung tissues be tested. Results: There are significant gene expression profile changes between WT and Lf-/- tumor-bearing mice. Conclusions: Our study describes the global transciptome changes of paracancerous lung tissues from the B16 metastasis mice model under the influence of lactoferrin kncokout.
2019-12-31 | GSE120179 | GEO
Project description:Whole Genome Sequencing of the murine breast cancer cell line 4T1 and of the murine melanoma cell line B16-ova was carried out with the aim of identifying somatic mutations. We also ran deep Mass Spectrometry proteomics analysis on the same cell lines, aiming to determine which somatic mutations carry over to the protein expression level. Further, we tested these cancer specific protein epitopes (putative neoantigens) for immunogenicity using mouse models. Finally, the putative neoantigens that showed good immunogenic potential were used in tumor growth control experiments with mice engrafted with the two tumor cell lines. In these experiments we tested whether cancer vaccines based on individual neoantigen peptides (MHC-I) restricted the growth of the tumor compared to adequate controls. The overall aim of the project is to validate the ability of our multi-omics/bioinformatics pipeline to identify and deliver neoantigens that can be used to suppress tumor growth. File names Sample names P10859_101_S1_L001_R1_001_BHKWV3CCXY 4T1_S1_L001_R1_001_BHKWV3CCXY P10859_101_S1_L001_R2_001_BHKWV3CCXY 4T1_S1_L001_R2_001_BHKWV3CCXY P10859_101_S1_L002_R1_001_BHKWV3CCXY 4T1_S1_L002_R1_001_BHKWV3CCXY P10859_101_S1_L002_R2_001_BHKWV3CCXY 4T1_S1_L002_R2_001_BHKWV3CCXY P10859_102_S2_L003_R1_001_BHKWV3CCXY B16-OVA_S2_L003_R1_001_BHKWV3CCXY P10859_102_S2_L003_R2_001_BHKWV3CCXY B16-OVA_S2_L003_R2_001_BHKWV3CCXY P10859_102_S2_L004_R1_001_BHKWV3CCXY B16-OVA_S2_L004_R1_001_BHKWV3CCXY P10859_102_S2_L004_R2_001_BHKWV3CCXY B16-OVA_S2_L004_R2_001_BHKWV3CCXY
2024-01-31 | E-MTAB-13635 | biostudies-arrayexpress
Project description:Most proteogenomic approaches for mapping single amino acid polymorphisms (SAPs) require construction of a sample-specific database containing protein variants predicted from the next-generation sequencing (NGS) data. We present a new strategy for direct SAP detection without relying on NGS data. Among the 348 putative SAP peptides identified in an industrial yeast strain, 85.6% of SAP sites were validated by genomic sequencing.
2018-04-18 | PXD003101 | Pride
Project description:The goal of this study is to compare the miRNA profiles of melanoma cells B16-derived exosomes with B16 cells and normal cells JB6-derived exosomes.
2019-12-16 | GSE117912 | GEO
Project description:We wanted to correlate the protein cargo of secreted exosomes with gene expression pattern in B16-F1 and B16-F1R2. For that purpose, we performed RNA sequencing analysis of B16-F1, B16-F1R2 and B16-F1R2L (Fig.1E). We identified >3000 genes significantly up-regulated and >1000 significantly down-regulated in B16-F1R2 model compared to B16-F1, using a false discovery rate (FDR) of 0.05.
2021-07-28 | GSE150221 | GEO