Cell ReportsCancer BiologyPeer-reviewed journal article
Metabolic regulation of RNA methylation by the m6A-reader IGF2BP3
Gunjan SharmaiD, Martin E GutierreziD, Anthony E. JonesiD, S. S. KapooriD, Amit Kumar Jaiswal, Zachary T. NeebiD, Amy Rios, Poornima Dorairaj, Michelle L. Thaxton, Tasha Lotus LiniD, Tiffany M. TraniD, Lyna E.S. KabbaniiD, Alexander J. RitteriD, Georgia SchereriD, Jacob P. SorrentinoiD, Linsey StilesiD, Johanna ten HoeveiD, Robert D. DamoiseauxiD, Neil K. GargiD, Ajit S. DivakaruniiD, Jeremy R. SanfordiD, Dinesh S. RaoiD
Abstract
The interplay of RNA modifications - deposited by "writers", removed by "erasers" and identified by RNA binding proteins known as "readers" - forms the basis of the epitranscriptomic gene regulation hypothesis. Recent studies have identified the oncofetal RNA-binding protein IGF2BP3 as a "reader" of the N6-methyladenosine (m6A) modification and crucial for regulating gene expression. Yet, how its function as a reader overlaps with its critical oncogenic function in leukemia remains an open question. Here, we report the novel finding that the reader IGF2BP3 reprograms cellular metabolism, resulting in an altered ability of the "writers" to modify the epitranscriptome. In leukemia cells, IGF2BP3 supports increased glycolytic flux and one-carbon metabolism, leading to increased production of S-adenosyl methionine (SAM), a key substrate for methylation reactions within the cell. IGF2BP3 directly regulates the translation of MAT2B, the regulatory subunit of the methionine-adenosyltransferase complex, which is the final enzyme in a pathway leading to SAM production. This, in turn, results in increased m6A modifications on RNA, resulting in positive feedback regulation. This novel mechanism illustrates how metabolism mutually acts with epitranscriptomic modifications, underscoring the pervasive impact of IGF2BP3 in gene regulatory mechanisms governing a broad range of cancer-specific processes.
- organism: human
- assay: bulk RNA-seq
- research focus: chromatin & epigenetic regulation
- research focus: cancer & tumor microenvironment
- research focus: gene regulatory network inference
- approach: experimental assay
- approach: wet-lab / biochemical assay
- Citations
- 12
- FWCI
- 3.31
- Field percentile
- top 6%
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