m6A peak calling and motif analysis

CM Chunhui Ma
MC Mengqi Chang
HL Hongyi Lv
ZZ Zhi-Wei Zhang
WZ Weilong Zhang
XH Xue He
GW Gaolang Wu
SZ Shunli Zhao
YZ Yao Zhang
DW Di Wang
XT Xufei Teng
CL Chunying Liu
QL Qing Li
AK Arne Klungland
YN Yamei Niu
SS Shuhui Song
WT Wei-Min Tong
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RNA m6A-modified regions, also called m6A peaks, were identified using exomePeak software (version 2.7.0) with FDR (false discovery rate) < 0.05 [66, 67]. The consensus sequence motifs enriched in m6A peaks were identified by HOMER [68]. For further comparison of m6A modification between samples, we used coverageBed of BEDToods (version 2.26.0) [69] with the “-s”, “-splited”, “-counts”, and “-F 0.50” parameters to calculate the read count of each peak. The “IP FPKM”, “input FPKM”, and “Enrichment score” of peaks were calculated as following methods:

where ai,j denotes the peak “IP FPKM” value of the ith methylation peak in the IP sample from the jth biological sample; Ai,j denotes the total reads mapped to the ith methylation peak in the IP sample from the jth biological sample; Bj denotes the total unique reads mapped to the mouse reference (mm10) in the IP sample from the jth biological sample; Ci,j denotes the length (base) of the ith methylation peak in the IP sample from the jth biological sample; bi,j denotes the peak “input FPKM” value of the ith methylation peak in the input sample from the jth biological sample; Di,j denotes the total reads mapped to the ith methylation peak in the input sample from the jth biological sample; Ej denotes the total unique reads mapped to the mouse reference (mm10) in the input sample from the jth biological sample; ci,j denotes the peak “enrichment score” value of the ith methylation peak in the IP/input sample from the jth biological sample.

M6A peaks that satisfied 1) exomePeak FDR value < 0.05, 2) m6A peak “IP FPKM” value > 1, and 3) m6A peak “enrichment score” value > 1.5 were used for further comparative analysis. The continuously methylated RNAs (CMRs) were defined as RNAs containing at least one m6A peak in all the four samples, while the temporal-specific methylated RNAs (SMRs) were the RNAs with m6A modification only in one sample, and m6A peaks of SMRs were defined as specific m6A peaks.

By merging all the m6A peaks of four developmental stages using mergeBed of BEDTools with “-s”, “-c”, and “-o” parameters, we identified “ON” or “OFF” RNA m6A switches during cerebellar development. All m6A peaks absent in the former stage but present in the later stage were called “ON” m6A switches, while all m6A peaks displaying changes in the opposite direction were called “OFF” m6A switches. In addition, the differentially methylated RNAs (DMRs) between wild-type and Alkbh5 knockout mice were further identified using exomePeak software with default parameters, and high-confidence DMR m6A peaks matching the criteria of FDR < 0.05 and log2 (fold change) > 1 or < − 1 were selected for further analysis.

For validation analysis of the distribution patterns of stage-specific m6A peaks which were obtained by using the exomePeak software, peak calling analysis was performed in parallel using the MACS2 software for the P7 and P60 samples with the default parameters [54, 70].

The integrative genomics viewer (IGV) tool was used for visualization of m6A peaks along the whole transcript [71, 72]. The heatmaps of the enrichment score for m6A peaks were plotted using the pheatmap package in R [73].

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