Association between CGN expression and tumor-infiltrating immune cells

ZT Zijian Tian
LM Lingfeng Meng
XW Xin Wang
TD Tongxiang Diao
MH Maolin Hu
MW Miao Wang
YZ Yaqun Zhang
ML Ming Liu
JW Jianye Wang
request Request a Protocol
ask Ask a question
Favorite

The “CIBERSORT” R package was used to analyze the infiltrating immune components of each sample, and the Pearson correlation analysis was used to determine the linear relationship between the 22 immune cell types (naïve B cells, memory B cells, plasma cells, CD8 T cells, CD4 naïve T cells, CD4 memory resting T cells, CD4 memory activated T cells, follicular helper T cells, regulatory T cells, gamma delta T cells, resting NK cells, activated NK cells, Monocytes, M0 macrophages, M1 macrophages, M2 macrophages, resting dendritic cells, activated dendritic cells, resting mast cells, activated mast cells, eosinophils, and neutrophils) and CGN. We further divided the expression of CGN into high and low expression groups according to the median value, and the Wilcoxon test was used to detect the immune cells related to CGN. Finally, the intersection of the two results identified the immune cells that are most closely related to CGN.

Do you have any questions about this protocol?

Post your question to gather feedback from the community. We will also invite the authors of this article to respond.

post Post a Question
0 Q&A