Kemal Avican

HeteroTyper quantifies phenotypic heterogeneity in bacterial colonies across multiple media types, revealing tissue-specific differences and growth dynamics during infection.

This study examines mRNA-protein level correlations in bacterial pathogens under stress, finding reduced correlations and highlighting the role of post-translational modifications in stress adaptation.

This paper introduces a method to deplete host RNA from infected tissues, enabling efficient detection of bacterial transcripts in vivo with reduced sequencing depth.

This study identifies 6S RNA's role in enhancing virulence gene expression in Yersinia pseudotuberculosis during intestinal colonization.

This study shows RfaH is essential for Yersinia pseudotuberculosis virulence and adaptation, as its loss reduces virulence and impairs persistent infection.

DeepEST predicts bacterial protein functions using a multimodal deep learning framework combining gene expression, localization, and structure data, outperforming existing methods on a 25-species benchmark.

This study shows that RpoN is essential for Type III secretion in Yersinia pseudotuberculosis by regulating the expression of secretion apparatus genes through a sigma factor hierarchy involving RpoE.