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Dive into the research topics where Jay Hesselberth is active.

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Featured researches published by Jay Hesselberth.


Analytical Biochemistry | 2003

Simultaneous detection of diverse analytes with an aptazyme ligase array

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

Optimization and optimality of a short ribozyme ligase that joins non-Watson–Crick base pairings

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

Combinatorial methods: aptamers and aptazymes

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

Switching nucleic acids for antibodies

David W. Hoffman; Jay Hesselberth; Andrew D. Ellington

Can ribozymes replace antibodies in future array formats for proteomics and metabolomics?


Nucleic Acids Research | 2002

Automated selection of aptamers against protein targets translated in vitro: from gene to aptamer

J. Colin Cox; Andrew Hayhurst; Jay Hesselberth; Travis S. Bayer; George Georgiou; Andrew D. Ellington


Reviews in Molecular Biotechnology | 2000

In vitro selection of nucleic acids for diagnostic applications.

Jay Hesselberth; Michael P. Robertson; Sulay D. Jhaveri; Andrew D. Ellington


Journal of Biological Chemistry | 2000

In Vitro Selection of RNA Molecules That Inhibit the Activity of Ricin A-chain

Jay Hesselberth; Darcie Miller; Jon D. Robertus; Andrew D. Ellington


Archive | 2001

Regulatable, catalytically active nucleic acids

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

A (ribo) switch in the paradigms of genetic regulation.

Jay Hesselberth; Andrew D. Ellington


DNA Based Computers | 1999

Designing and selecting components for nucleic acid computers.

Michael P. Robertson; Jay Hesselberth; J. Colin Cox; Andrew D. Ellington

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Michael P. Robertson

University of Texas at Austin

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J. Colin Cox

University of Texas at Austin

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Sulay D. Jhaveri

University of Texas at Austin

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Eric A. Davidson

University of Texas at Austin

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Letha J. Sooter

University of Texas at Austin

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Andrew Hayhurst

Texas Biomedical Research Institute

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Anthony Dominic Keefe

University of Texas at Austin

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Charles Wilson

University of California

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Darcie Miller

University of Texas at Austin

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