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Biomedical subjects

Jay R Hesselberth

Publications and source records attributed to Jay R Hesselberth.

4 recordsLinked to original sources

Small serine recombinases are markers for antiphage defense system discovery.

Renewed interest in phage therapy has highlighted a need to understand how bacteria subvert phage infection through antiphage defense systems. Traditionally, strategies to identify antiphage defense systems lack throughput or have limitations for bacterial species where antiphage defense systems are understudied. Herein, we developed a bioinformatic pipeline that uses a small serine recombinase to identify known and unknown antiphage defense systems. Using this approach to query reference genomes and metagenomes, we show that small serine recombinase genes are genetically linked to antiphage defense systems and serve as bait for finding these systems across diverse bacterial phyla. Using co-transcription predictions and statistical analysis of protein domain abundances, we experimentally validated our bioinformatic approach by discovering that KAP P-loop NTPases are fused to putative antiphage domains and reinforce prokaryotic Schlafen proteins as a new class of antiphage defense. Our work shows that small serine recombinases are a reliable genetic marker for the discovery of antiphage defenses across diverse bacterial phyla.

Bacteriophages↗

Aptamer database.

The aptamer database is designed to contain comprehensive sequence information on aptamers and unnatural ribozymes that have been generated by in vitro selection methods. Such data are not normally collected in 'natural' sequence databases, such as GenBank. Besides serving as a storehouse of sequences that may have diagnostic or therapeutic utility, the database serves as a valuable resource for theoretical biologists who describe and explore fitness landscapes. The database is updated monthly and is publicly available at http://aptamer. icmb.utexas.edu/.

Base Pairing↗

Simultaneous detection of diverse analytes with an aptazyme ligase array.

Allosteric ribozymes (aptazymes) can transduce the noncovalent recognition of analytes into the catalytic generation of readily observable signals. Aptazymes are easily engineered, can detect diverse classes of biologically relevant molecules, and have high signal-to-noise ratios. These features make aptazymes useful candidates for incorporation into biosensor arrays. Allosteric ribozyme ligases that can recognize a variety of analytes ranging from small organics to proteins have been generated. Upon incorporation into an array format, multiple different aptazyme ligases were able to simultaneously detect their cognate analytes with high specificity. Analyte concentrations could be accurately measured into the nanomolar range. The fact that analytes induced the formation of new covalent bonds in aptazyme ligases (as opposed to noncovalent bonds in antibodies) potentiated stringent washing of the array, leading to improved signal-to-noise ratios and limits of detection.

Biosensing Techniques↗