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. 2021 Feb 13;10(2):364. doi: 10.3390/plants10020364

Table 1.

Validation of in silico target predictions of epigenetic regulators in shoots and roots. For each epigenetic regulator (1st column), the in silico targets from EpiNet (2nd column) were compared with experimentally determined targets (3rd column) to determine the size of overlap (4th column). Hypergeometric testing was used to determine whether the overlap was statistically significant compared to a random background, and the p-value is reported (5th column). A brief description of the experimental data and the citation is included in the last column.

Epigenetic Regulator No. of In Silico Targets No. of Experimental Targets No. of Overlapping Targets Overlap p-Value Sources of Experimental Data
Shoots SYD 4936 1 133 40 0.0476 DEGs in syd-2 seedlings [63]
UBC1 7239 82 19 0.7693 Salt stress-induced genes with lower expression in ubc1/ubc2 [65]
UBC2 6879 82 32 0.0032 Salt stress-induced genes with lower expression in ubc1/ubc2 [65]
JMJ30 4642 106 32 0.0004 DEGs in jmj30/jmj32 seedlings [66]
Roots HDT1 8145 90 38 0.0066 DEGs in meristem zone of hdt1/2 root tips [62]
114 48 0.0027 DEGs in elongation zone of hdt1/2 root tips [62]
42 8 0.9557 DEGs in differentiated zone of hdt1/2 root tips [62]
HDT2 8556 90 34 0.0996 DEGs in meristem zone of hdt1/2 root tips [62]
114 42 0.1041 DEGs in elongation zone of hdt1/2 root tips [62]
42 17 0.1220 DEGs in differentiated zone of hdt1/2 root tips [62]
BRM 4234 1 93 26 0.0436 Downregulated genes in brm-101 seedlings [63]
BRM 5470 4250 925 0.0003 DEGs in brm-1 leaves [67]
5278 1127 0.0008 ChIP-Seq using pBRM::BRM-GFP in brm-1 [68]
7761 1702 <0.0001 ChIP-Seq using pBRM::BRM-GFP in brm-1 [69]
4831 1032 0.0014 ChIP-chip study using BRM antibody [70]
PRMT4A 5130 5504 1082 0.0098 DEGs in prmt4a/prmt4b seedlings [71]

1: in silico targets were filtered based on microarray probes.