Project description:Purpose: Next-generation sequencing (NGS) has revolutionized systems-based analysis of cellular pathways. The goals of this study are to evaluate the gene expression of M2-polarized RAW264.7 cells compared with M0 RAW264.7 cells. Methods: RAW264.7 cells were polarized toward M2 using IL-4. M0 RAW264.7 cells were maintained in culture without IL-4. Total RNA of M2 and M0 RAW264.7 cells was extracted. RAW264.7 cells RNA profiles were generated by deep sequencing for two groups (M2 versus M0 RAW264.7 cells) with three samples each. Results: There were significant differences between M2 and M0 RAW264.7 cells. Conclusions: Polarization of RAW264.7 cells from M0 to M2 induces various changes at the transcription level.
Project description:Purpose: Next-generation sequencing (NGS) has revolutionized systems-based analysis of cellular pathways. The goals of this study are to evaluate the gene expression of M1-polarized RAW264.7 cells compared with M0 RAW264.7 cells. Methods: RAW264.7 cells were polarized toward M1 using LPS and IFN-γ. M0 RAW264.7 cells were maintained in culture without LPS and IFN-γ. Total RNA of M1 and M0 RAW264.7 cells was extracted. RAW264.7 cells RNA profiles were generated by deep sequencing for two groups (M1 versus M0 RAW264.7 cells) with three samples each. Results: There were significant differences between M1 and M0 RAW264.7 cells. Conclusions: Polarization of RAW264.7 cells from M0 to M1 induces various changes at the transcription level.
Project description:Metastasis is a major problem of gastric cancer. In this study, small extracellular vesicle (sEV)-derived miRNAs were sequenced to screen biomarkers for GC’s organo-tropic metastasis. Plasma from 40 treatment-naïve gastric cancer patients including 10 no metastasis (M0) and 30 distant metastasis (M1) were assessed by sEV-miRNA-sequencing. sEV miRNAs with diverse expression profiles across different metastatic patterns were combined into sigantures to characterize and predict gastric cancer metastasis.
Project description:To gain insight into the microRNA expression profile of small extracellular vesicle derived from different cell types and to verify their mechanism, we utilized the miRNA sequencing technology to analyze the miRNA profiles of different human cell derived small extracellular vesicle
Project description:SILAC based protein correlation profiling using size exclusion of protein complexes derived from Mus musculus tissues (Heart, Liver, Lung, Kidney, Skeletal Muscle, Thymus)
Project description:SILAC based protein correlation profiling using size exclusion of protein complexes derived from seven Mus musculus tissues (Heart, Brain, Liver, Lung, Kidney, Skeletal Muscle, Thymus)