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Biomedical subjects

Benjamin C Blum

Publications and source records attributed to Benjamin C Blum.

2 recordsLinked to original sources

Proteolytic activation of c-MYC facilitated by DOT1L.

c-MYC is a key regulator of growth and metabolism. Functional and molecular cooperation between the H3K79 methyltransferase DOT1L and c-MYC has been reported in several human cancer types, but the nature of their interaction remains undefined. We demonstrate that DOT1L and MYC [Myc and Mondo-like (MML-1) in Caenorhabditis elegans] coregulate genes in the nematode model and mammalian cancer cells. Moreover, both c-MYC and MML-1 exhibit cleavage products facilitated by DOT1L function. Surprisingly, we found a similarity between a conserved sequence in DOT1 proteins and the DDI-family protease catalytic motif. We characterize a c-MYC sequence preceding the DNA-binding domain as a site of nuclear proteolytic cleavage, demonstrate its importance for transcription activation by c-MYC, and propose that c-MYC is activated by a protease, as previously reported for Nuclear factor erythroid 2-related factor (NRF) and SREBP transcription factors. Our results suggest that DOT1L may activate c-MYC and other transcription factors in the nucleus by acting as a protease.

Animals

PANAMA-enabled high-sensitivity dual nanoflow LC-MS metabolomics and proteomics analysis.

High-sensitivity nanoflow liquid chromatography (nLC) is seldom employed in untargeted metabolomics because current sample preparation techniques are inefficient at preventing nanocapillary column performance degradation. Here, we describe an nLC-based tandem mass spectrometry workflow that enables seamless joint analysis and integration of metabolomics (including lipidomics) and proteomics from the same samples without instrument duplication. This workflow is based on a robust solid-phase micro-extraction step for routine sample cleanup and bioactive molecule enrichment. Our method, termed proteomic and nanoflow metabolomic analysis (PANAMA), improves compound resolution and detection sensitivity without compromising the depth of coverage as compared with existing widely used analytical procedures. Notably, PANAMA can be applied to a broad array of specimens, including biofluids, cell lines, and tissue samples. It generates high-quality, information-rich metabolite-protein datasets while bypassing the need for specialized instrumentation.

Proteomics