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Additional file 3: A) Heatmap of hierarchically clustered expression levels (median centered FPKM +1) of significantly differentially expressed transcripts based on the TMM-normalized dataset.
To determine if the genes we identified are correlated with growth rate, we divide the clustered expression profiles of the anaerobic dataset into groups of transiently and chronically responding ones and then further into repressed and induced sets.
Given the small number of time points in our experiment, we have clustered expression patterns on the basis of an algorithm specifically designed for short time-series analysis, whereby changes through the cycle are assigned to discrete blocks of expression [ 56, 57].
Thus, to identify a comprehensive set of co-regulated genes that are potentially cell cycle-related, we clustered expression data for a pool of 2000 genes in S. pombe having highly consistent cell cycle phase characteristics (see Additional file 8 for the list of the 2000 genes).
Notably, FERMT2 (MIG2), RAP1A, and TJP1 (ZO1) showed closely clustered expression levels and patterns, and all of them have been shown to be involved in a pathway related to cell adhesion functions [ 14- 16], suggesting that at least for this signaling pathway, systematic expression alteration had occurred in degenerative embryos compared to blastocysts.
For example, in a pioneering paper, Tavazoie et al. clustered expression data and used multiple local sequence alignment algorithms on the promoter regions of the co-clustered genes to discover regulatory motifs [ 19].
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However, these methods were primarily developed for clustering expression data.
We utilized 1 – Pearson correlation as distance measure and complete linkage for hierarchically clustering expression data.
Another study showed that many CT genes, including MAGE-A3, exhibited the phenomenon of clustering expression [ 24].
Here we present a simple method for clustering expression data from a diverse set of microarray experiments.
Regarding breast cancer, several independent studies showed that NAT1 expression clustered with expression of the estrogen receptor [ 1, 2].
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