Visualisation of the T cell differentiation programme by Canonical Correspondence Analysis of transcriptomes.

ABSTRACT:

Background

Currently, in the era of post-genomics, immunology is facing a challenging problem to translate mutant phenotypes into gene functions based on high-throughput data, while taking into account the classifications and functions of immune cells, which requires new methods.

Results

Here we propose a novel application of a multidimensional analysis, Canonical Correspondence Analysis (CCA), to reveal the molecular characteristics of undefined cells in terms of cellular differentiation programmes by analysing two transcriptomic datasets. Using two independent datasets, whether RNA-seq or microarray data, CCA successfully visualised the cross-level relationships between genes, cells, and differentiation programmes, and thereby identified the immunological features of mutan

SUBMITTER: Ono M 

PROVIDER: S-EPMC4258272 | biostudies-literature | 2014 Nov

REPOSITORIES: biostudies-literature