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MECP2pedia: A Comprehensive Transcriptome Portal for MECP2 Disease Research

Wan, Y.-W.; Trostle, A. J.; Li, L.; Kim, S.-Y.; Wan, J.; Al-Ouran, R.; Yalamanchili, H. K.; Liu, Z.

2021-11-27 bioinformatics
10.1101/2021.11.27.470197 bioRxiv
Show abstract

Mutations in MeCP2 result in a crippling neurological disease, but we lack a lucid picture of MeCP2s molecular role. Focusing on individual transcriptomic studies yields inconsistent differentially expressed genes. We have aggregated and homogeneously processed modern public MeCP2 transcriptome data, which we present in a web portal. With this big data, we discovered a commonly perturbed core set of genes that transcends the limitations of any individual study. We then found distinct consistently up and downregulated subsets within these genes. We observe enrichment for this mouse core in other species MeCP2 models and see overlap between this core and ASD models. Analysis of signal to noise finds that many studies lack enough biological replicates. By integrating and examining transcriptomic data at scale, we have generated a valuable resource and insight on MeCP2 function.

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