Jay Hesselberth
University of Texas at Austin
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Publication
Featured researches published by Jay Hesselberth.
Analytical Biochemistry | 2003
Jay Hesselberth; Michael P. Robertson; Scott M. Knudsen; Andrew D. Ellington
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.
RNA | 2001
Michael P. Robertson; Jay Hesselberth; Andrew D. Ellington
A small ribozyme ligase (L1) selected from a random sequence population appears to utilize non-Watson-Crick base pairs at its ligation junction. Mutational and selection analyses confirmed the presence of these base pairings. Randomization of the L1 core and selection of active ligases yielded highly active variants whose rates were on the order of 1 min(-1). Base-pairing covariations confirmed the general secondary structure of the ligase, and the most active ligases contained a novel pentuple sequence covariation. The optimized L1 ligases may be optimal within their sequence spaces, and minimal ligases that span less than 60 nt in length have been engineered based on these results.
Proceedings of SPIE | 1999
Andrew D. Ellington; Jay Hesselberth; Sulay D. Jhaveri; Michael P. Robertson
Combinatorial methods have been used to generate nucleic acid molecules with specific characteristics. Aptamers are nucleic acid binding species, and can be modified to directly transduce molecular recognition to optical signals. Aptazymes are allosteric or effector-activated ribyzymes. We have designed or selected aptazymes that are responsive to a variety of ligands. In particular, we have selected a ribozyme ligase that is activated 10,000-fold in the presence of an oligonucleotide effector, and have designed ligases that are up to 1,600-fold dependent on small molecule effectors. Even in those instances where designed constructs were initially unresponsive, we have been able to use selection to optimize their response characteristics.
Nature Biotechnology | 2001
David W. Hoffman; Jay Hesselberth; Andrew D. Ellington
Can ribozymes replace antibodies in future array formats for proteomics and metabolomics?
Nucleic Acids Research | 2002
J. Colin Cox; Andrew Hayhurst; Jay Hesselberth; Travis S. Bayer; George Georgiou; Andrew D. Ellington
Reviews in Molecular Biotechnology | 2000
Jay Hesselberth; Michael P. Robertson; Sulay D. Jhaveri; Andrew D. Ellington
Journal of Biological Chemistry | 2000
Jay Hesselberth; Darcie Miller; Jon D. Robertus; Andrew D. Ellington
Archive | 2001
Andrew D. Ellington; Jay Hesselberth; Kristin Thompson; Michael P. Robertson; Letha J. Sooter; Eric A. Davidson; J. Cox; Timothy Riedel; Charles Wilson; Sharon T. Cload; Anthony Dominic Keefe
Nature Structural & Molecular Biology | 2002
Jay Hesselberth; Andrew D. Ellington
DNA Based Computers | 1999
Michael P. Robertson; Jay Hesselberth; J. Colin Cox; Andrew D. Ellington