posted on 2018-12-28, 15:51authored byChristopher L. Baker, Michael Walker, Seda Arat, Guruprasad Ananda, Pavlina Petkova, Natalie R. Powers, Hui Tian, Catrina Spruce, Bo Ji, Dylan Rausch, Kwangbom Choi, Petko M. Petkov, Gregory W. Carter, Kenneth Paigen
Table S1. Summary of sequencing
libraries..
Table S2. Biparental peakome for male
germ cells showing the genomic coordinates of each peak in both the reference (mm10)
and DBA/2J assembly.
Table S3. Mapping results for each
H3K4me3 interval in the peakome and annotations.
Table S4. Summary of WGCNA modules.
Table S5. Summary of cis/trans
test for BXD75 and BXD87 in hepatocytes, cardiomyocytes, and mESCs.
Table S6. Transcription factor
motifs enriched in module H3K4me3 peaks.
Table S7. De novo genetic map for BXD
strains.
Figure
S1. De novo
genotypes from ChIP-seq data correct inconsistency between genotype and H3K4me3
phenotypes.
Figure
S2. Genotyping
by ChIP-seq allows for hotspot level resolution for genetic mapping.
Figure
S3. Pearson Correlations
for all hepatocytes, cardiomyocytes, and ESCs.
Figure
S4. TheChr
13 QTL is genetically compound.
Figure
S5. Functional annotation
of H3K4me3 peaks.
Figure
S6. Hierarchical
clustering based on H3K4me3 levels for all Parental, F1, and BXD lines.
History
Article title
Tissue-Specific Trans Regulation of the Mouse Epigenome