Bioinformatics identification and experimental validation of m6a-related diagnostic biomarkers in the subtype classification of blood monocytes from postmenopausal osteoporosis patients

HIGHLIGHTS

SUMMARY

The authors excavated two different m6A patterns that were closely correlated with immature B cell, gamma delta T_cell, CD56dim natural killer cell, monocyte, neutrophil and regulatory T_cell immunity, indicating that m6A patterns may be used to identify PMOP and provide subsequent treatment strategies. The authors utilized principal component analysis to calculate the m6A score for each sample for quantification of the m6A patterns, with the m6A score evaluated based on the following formula: m6A score=PC1i, where PC1 denotes principal component 1, and i denotes significant m6A gene_expression. Regulatory T_cell (Treg) exerts an essential . . .

 



If you want to have access to all the content you need to log in!

Thanks :)

Username or E-mail:

If you don't have an account, you can create one here.