Jörg Vogel

This study identifies resistance determinants to antisense antibiotics by analyzing mutations in gram-negative pathogens exposed to CPP-PNA conjugates, revealing adaptation strategies and resistance mechanisms.

This study uses ASOs to selectively inhibit mRNA translation in Prevotellaceae species, enabling functional analysis and targeted depletion in synthetic communities.

The paper identifies InvS as an RNA antagonist of PinT, revealing a post-transcriptional regulatory pair in Salmonella virulence.

The paper investigates antisense PNA conjugates against Fusobacterium nucleatum and discovers a non-targeting control PNA, FUS79, with bactericidal activity independent of antisense effects.

This paper develops an RNA toehold switch-based reporter assay to measure ASO uptake efficiency in bacteria and identifies effective cell-penetrating peptides for ASO delivery.

The paper identifies gp335, a phage protein from Churi, which inhibits Pseudomonas aeruginosa growth by interfering with protein translation through ribosome association.

This study identifies a small RNA, SrcF, essential for gut colonization of Segatella copri, regulated by complex carbohydrates and influenced by the human microbiome.

This study uses non-genetic mRNA silencing to identify essential genes in phage-host interactions, revealing new proteins critical for phage replication and host response.

The paper introduces MASON, a webserver for designing antisense oligomers targeting bacterial mRNAs, and demonstrates its off-target prediction capabilities using experimental data.

The paper introduces SEC-seq, a method for profiling RNA-protein complexes in E. coli using size exclusion chromatography, showing higher resolution than Grad-seq for smaller complexes.

This paper uses Grad-seq to identify RNA-protein complexes in Pseudomonas aeruginosa under standard and bacteriophage infection conditions, revealing new insights into RNA regulation and phage-host interactions.

ANNOgesic streamlines RNA-Seq-based annotation of bacterial and archaeal genomes by integrating data and predicting features like small non-coding RNAs.