eLifeBioinformaticsPeer-reviewed journal article
Expanding the MECP2 network using comparative genomics reveals potential therapeutic targets for Rett syndrome
Irene UntermaniD, Idit BlochiD, Simona CazacuiD, Gila Kazimirsky, Benjamin P. BermaniD, Bruria Ben‐ZeeviD, Chaya BrodieiD, Yuval TabachiD
Abstract
Inactivating mutations in the Methyl-CpG Binding Protein 2 (MECP2) gene are the main cause of Rett syndrome (RTT). Despite extensive research into MECP2 function, no treatments for RTT are currently available. Here we use an evolutionary genomics approach to construct an unbiased MECP2 gene network, using 1,028 eukaryotic genomes to prioritize proteins with strong co-evolutionary signatures with MECP2. Focusing on proteins targeted by FDA approved drugs led to three promising candidates, two of which were previously linked to MECP2 function (IRAK, KEAP1) and one that was not (EPOR). We show that each of these compounds has the ability to rescue different phenotypes of MECP2 inactivation in cultured human neural cell types, and appear to act on Nuclear Factor Kappa B (NF-{kappa}B) signaling in inflammation. This study highlights the potential of comparative genomics to accelerate drug discovery, and yields potential new avenues for the treatment of RTT. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=113 SRC="FIGDIR/small/431162v1_ufig1.gif" ALT="Figure 1"> View larger version (31K): org.highwire.dtl.DTLVardef@1d7e0f8org.highwire.dtl.DTLVardef@1f2c602org.highwire.dtl.DTLVardef@1a5dd7dorg.highwire.dtl.DTLVardef@7071c8_HPS_FORMAT_FIGEXP M_FIG C_FIG
- Citations
- 22
- FWCI
- 2.68
- Field percentile
- top 9%
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