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Hierarchical and profile cluster analysis of the transcriptome of early and late granulomas.

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posted on 31.08.2010, 00:52 by Smriti Mehra, Bapi Pahar, Noton K. Dutta, Cecily N. Conerly, Kathrine Philippi-Falkenstein, Xavier Alvarez, Deepak Kaushal

Microarray analysis of genes expressed in a differential manner between normal lung, and granulomas from Mtb infected NHPs at week 4 and week 13, using hierarchical (A) as well as profile based (K-means) clustering (B). Clustering was performed using Spotfire DecisionSite for Functional Genomics, using data from triplicate biological samples. The coloring scheme for the hierarchical cluster is white -no change in expression, blue – lower expression in lesion samples relative to normal lung, and red – higher expression in lesion samples relative to normal lung. The hierarchical cluster is sorted by the results obtained by dividing the dataset into 10 distinct K-means clusters, with the right column showing the identical color scheme as the k-means clusters diagram.


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