Table3_Novel RNAseq-Informed Cell-type Markers and Their Regulation Alter Paradigms of Dictyostelium Developmental Control.XLSX
Hierarchical clustering of gene induction data The averaged data for gene induction by stimuli, standardized either as percentage of 3 uM c-di-GMP or as fold-change relative to control (no addition) are shown in the sheet "InductionAverages" Both data matrices were used for cluster analysis using "Orange" datamining software (https://orangedatamining.com/). The columns for t0, 100nM DIF + 0.3mM cAMP and 100 nM DIF+ 8Br-cAMP, which were not tested for all genes and only in 1 or 2 experiments for others, were deleted from the matrices before analysis Distances between the effects of the treatments on the different genes were determined by Pearson correlation and a hierarchical tree was computed using average linkage (the average distance between the elements of two clusters) The full induction data matrices were re-ordered to the gene positions in the hierarchical tree in the sheet "Tree-ordered" Heatmaps of the developmental expression profiles and cell-type specificity profiles of the genes were included for presentation in Figure 3 and supplemental figure S7
| Main Authors: | , , , |
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| Format: | dataset biblioteca |
| Language: | English |
| Published: |
Figshare
2022-05-05
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| Subjects: | Cyclic AMP, Cell-type specific RNAseq, Spatio-temporal gene expression, Morphogenetic signalling, Cell fate mapping, Cyclic diguanylate, Differentiation inducing factor, |
| Online Access: | http://hdl.handle.net/10261/310923 |
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