Topological data analysis (TDA) of U-BIOPRED paediatric peripheral blood gene expression identified asthma phenotypes characterised by alternative splicing of glucocorticoid receptor (GR) mRNA

Author(s):  
James P. R. Schofield ◽  
Jeanette Bigler ◽  
Michael Boedigheimer ◽  
Karen Affleck ◽  
Adam Taylor ◽  
...  
2019 ◽  
Author(s):  
James P R Schofield ◽  
Fabio Strazzeri ◽  
Jeannette Bigler ◽  
Michael Boedigheimer ◽  
Ian M Adcock ◽  
...  

AbstractStratified medicine requires discretisation of disease populations for targeted treatments. We have developed and applied a discrete Morse theory clustering algorithm to a Topological Data Analysis (TDA) network model of 498 gene expression profiles of peripheral blood from asthma and healthy participants. The Morse clustering algorithm defined nine clusters, BC1-9, representing molecular phenotypes with discrete phenotypes including Type-1, 2 & 17 cytokine inflammatory pathways. The TDA network model and clusters were also characterised by activity of glucocorticoid receptor signalling associated with different expression profiles of glucocorticoid receptor (GR), according to microarray probesets targeted to the start or end of the GR mRNA’s 3’ UTR; suggesting differential GR mRNA processing as a possible driver of asthma phenotypes including steroid insensitivity.


2005 ◽  
Vol 6 (5) ◽  
pp. 388-397 ◽  
Author(s):  
F M Batliwalla ◽  
E C Baechler ◽  
X Xiao ◽  
W Li ◽  
S Balasubramanian ◽  
...  

2016 ◽  
Vol 12 ◽  
pp. P720-P721
Author(s):  
Kristy S. Hwang ◽  
Nicole Chow ◽  
Naira Goukasian ◽  
Kwangsik Nho ◽  
Andy J. Saykin ◽  
...  

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