ABSTRACT: Organoids containing 4T1 TNBC and matched splenocytes were exposed to the metabolites hippuric acid or pyocyanin and/or a-CTLA-4 and a-PD-1 for 5 days run on RT² Profiler™ PCR Array Mouse Cancer Inflammation & Immunity Crosstalk [PMAM-181Z]
Project description:mouse 4T1 breast cancer stem cell spheres were co-culutred with in vivo tumor antigen primed splenocytes, with in vivo tumor antigen primed splenocytes plus ex vivo reinforced activation via anti-CD3/CD28 beads or without co-culturing with splenocytes. Stem cell spheres were then collected and sunjected for gene expression analyses using RNA sequencing.
Project description:Goal: determine how transcriptome of immune cells within the tumor microenvironment changes as a function of CD40 agonist and/or immune checkpoint blockade (anti-PD-1 AND anti-CTLA-4; "ICB") therapy
Project description:Murine splenocytes were isolated from the spleens of C57BL/6J mice and were pretreated in vitro for three days in the presence of Pam3CSK4 (1 μg/ml), high pure LPS from E.coli O111:B4 (100 ng/ml) and R848 (5 μg/ml). PBS-treated splenocytes served as negative control. We used Qiagen Toll-like Receptor RT2 Profiler PCR Array kit to quantitate gene expression profiling of the TLR signaling pathway.
Project description:huh7.5 hepatic cell lines were infected with HCV. RNA and Protein were extract after 72 hours and The Human Adipogenesis RT² Profiler™ PCR Array was used to compare the gene expression in the two group.
Project description:A long-sought milestone in microfluidics research has been the development of integrated technology for scalable analysis of transcription in single cells. Here we present a fully integrated microfluidic device capable of performing high-precision RT-qPCR measurements of gene expression from hundreds of single cells per run. Our device executes all steps of single-cell processing, including cell capture, cell lysis, reverse transcription, and quantitative PCR. In addition to higher throughput and reduced cost, we show that nanoliter volume processing reduced measurement noise, increased sensitivity, and provided single nucleotide specificity. We apply this technology to 3,300 single-cell measurements of (i) miRNA expression in K562 cells, (ii) coregulation of a miRNA and one of its target transcripts during differentiation in embryonic stem cells, and (iii) single nucleotide variant detection in primary lobular breast cancer cells. The core functionality established here provides the foundation from which a variety of on-chip single-cell transcription analyses will be developed.