In silico discovery of blood cell macromolecular associations.

ABSTRACT:

Background

Physical molecular interactions are the basis of intracellular signalling and gene regulatory networks, and comprehensive, accessible databases are needed for their discovery. Highly correlated transcripts may reflect important functional associations, but identification of such associations from primary data are cumbersome. We have constructed and adapted a user-friendly web application to discover and identify putative macromolecular associations in human peripheral blood based on significant correlations at the transcriptional level.

Methods

The blood transcriptome was characterized by quantification of 17,328 RNA species, including 341 mature microRNAs in 105 clinically well-characterized postmenopausal women. Intercorrelation of detected transcripts signal le

SUBMITTER: Gautvik KM 

PROVIDER: S-EPMC9317115 | biostudies-literature | 2022 Jul

REPOSITORIES: biostudies-literature