Cellular and Molecular Life SciencesMolecular BiologyPeer-reviewed journal article
Ribosomal protein L24 modulates mammalian microRNA processing and transfer RNA fragment production
Yonat Tzur, Serafima DubnoviD, Nimrod MadreriD, Adi Bar, Bettina NadorpiD, Nibha Mishra, Paul A. HeppenstalliD, Estelle R. Bennett, David GreenbergiD, Katarzyna WinekiD, Hermona SoreqiD
Abstract
The evolutionary mechanism(s) underlying the expression of novel microRNAs (miRs) are still elusive. To explore this issue, we studied the expression of intronic primate-specific hsa-miR-608, located in the Semaphorin 4G (SEMA4G) gene. Engineered humanized mice carrying human miR-608 flanked by 250 bp in the murine Sema4g gene expressed miR-608 in several tissues. Moreover, miR-608 flanked by shortened fragments of its human genome region elevated miR-608 levels by 100-fold in murine and human-originated cells, identifying the 150 nucleotides 5 to pre-miR-608 as an active promoter. Surprisingly, pulldown of this 5 sequence revealed tight interaction with ribosomal protein L24 (RPL24), which inhibited miR-608 expression. Furthermore, RPL24 depletion altered the levels of 22 miRs, and we discovered that direct interaction of RPL24 with DDX5, a component of the large microprocessor complex, inhibits pri-miR processing. Moreover, RPL24 depletion resulted in Angiogenin (ANG)-mediated production of 5-half tRFs in human cells, and altered plant tRF profiles. Expanding previous reports that RPL24 regulates miR processing in Arabidopsis thaliana, we implicate RPL24 in an evolutionarily-conserved regulation of miR processing and tRF production. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=145 SRC="FIGDIR/small/539194v1_ufig1.gif" ALT="Figure 1"> View larger version (25K): org.highwire.dtl.DTLVardef@4f2058org.highwire.dtl.DTLVardef@d4a2cdorg.highwire.dtl.DTLVardef@c7786org.highwire.dtl.DTLVardef@7b1608_HPS_FORMAT_FIGEXP M_FIG C_FIG
- organism: human
- organism: mouse
- organism: Arabidopsis
- assay: bulk RNA-seq
- research focus: differential expression
- research focus: gene regulatory network inference
- research focus: cell-cell communication
- approach: statistical model
- approach: experimental assay
- Citations
- 3
- FWCI
- 0.60
- Field percentile
- top 40%
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