J
Jörg Vogel
Researcher at University of Würzburg
Publications - 244
Citations - 31250
Jörg Vogel is an academic researcher from University of Würzburg. The author has contributed to research in topics: RNA & Gene. The author has an hindex of 89, co-authored 216 publications receiving 26988 citations. Previous affiliations of Jörg Vogel include Humboldt State University & Uppsala University.
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Design and off-target prediction for antisense oligomers targeting bacterial mRNAs with the MASON web server
TL;DR: MASON (Make AntiSense Oligomers Now), a webserver for the design of PNAs that target bacterial mRNAs, based on off-target predictions on experiments in which Salmonella enterica serovar Typhimurium was treated with a series of 10mer PnAs derived from a PNA targeting the essential gene acpP but carrying two serial mismatches.
Posted ContentDOI
Improved bacterial single-cell RNA-seq through automated MATQ-seq and Cas9-based removal of rRNA reads
TL;DR: In this paper , the authors reported an improved bacterial single-cell RNA-sequencing protocol based on MATQ-seq, achieving a higher throughput through the integration of automation, which led to reduced cell loss and higher workflow robustness.
Book ChapterDOI
Hfq-associated Regulatory Small RNAs
TL;DR: The majority of regulatory RNAs characterized to date act by basepairing with target messenger RNAs (mRNAs) to modulate their stability and/or translation and contain perfect sequence complementarity to the target mRNA.
Journal ArticleDOI
Microbes at their best: first Mol Micro Meeting Würzburg.
TL;DR: The first Mol Micro Meeting Würzburg hosted more than 160 scientists from 14 countries to exchange their latest ideas in this field of research, providing insight into current advances and future goals and challenges.
Journal ArticleDOI
RNA recording in single bacterial cells using reprogrammed tracrRNAs
C. Z. Jiao,Claas Reckstadt,Fabian König,C. Homberger,Jiaqi Yu,Jörg Vogel,Alexander J. Westermann,Cynthia M. Sharma,Chase L. Beisel +8 more
TL;DR: In this article , the authors leverage reprogrammed tracrRNAs (Rptrs) to record selected cellular transcripts as stored DNA edits in single living bacterial cells, which can quantify relative expression, distinguish single-nucleotide differences, record multiple transcripts simultaneously and read out single-cell phenomena.