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Awawdy, M.

Publications and source records attributed to Awawdy, M..

2 recordsLinked to original sources

Oligomerization enables the selective targeting of intrinsically disordered regions by small molecules

Intrinsically disordered regions (IDRs) are challenging drug targets because they lack stable interaction sites for drug-like molecules. We studied the first small molecule targeting an IDR to be evaluated in a clinical trial and found that it interacts selectively with an oligomeric form of the protein, more structured than the monomeric state, that is stabilized by interactions involving aromatic residues in regions with helical propensity. We also found that this compound alters the network of interactions defining the conformational ensemble of its target, thus affecting its condensation properties, linked to its function as a transcription factor. These findings provide a framework for developing strategies to target intrinsically disordered regions with small molecules.

biophysics↗

Expanding single-cell toolbox with a cost-effective full-length total RNA droplet-based sequencing technology

sc-rDSeq is a scalable, full-length total RNA droplet-based technology that captures both polyadenylated and non-polyadenylated RNAs, including histone-RNAs, small and long non-coding RNAs, and enhancer RNAs. It achieves a tenfold increase in UMIs per cell over inDrops while remaining simple and cost-efficient. Applied to lung cancer cells, sc-rDSeq revealed hidden heterogeneity, divergent signaling pathways, and non-polyA RNA variations undetectable with 3 end-based methods. In EGFR inhibitor-treated persister cells, it confirmed drug-induced cell cycle arrest based on histone mRNA expression, identified distinct resistance strategies. It also detected alternative splicing events and enabled single cell genotyping of SNVs linked to drug resistance. While SNVs act as drivers of drug resistance, additional layers of expression-based cellular states must be explored to fully understand and combat persister cells. These findings highlight the potential of sc-rDSeq to advance transcriptomic studies and personalized medicine by providing a comprehensive and scalable approach to cellular RNA analysis.

genetics↗