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Single-molecule spectroscopy of amino acids and peptides by recognition tunnelling.
Zhao, Yanan; Ashcroft, Brian; Zhang, Peiming; Liu, Hao; Sen, Suman; Song, Weisi; Im, JongOne; Gyarfas, Brett; Manna, Saikat; Biswas, Sovan; Borges, Chad; Lindsay, Stuart.
Afiliação
  • Zhao Y; 1] Department of Physics, Arizona State University, PO Box 871504 Tempe, Arizona 85287, USA [2] Biodesign Institute, Arizona State University, PO Box 875001, Tempe, Arizona 85287, USA [3].
  • Ashcroft B; 1] Biodesign Institute, Arizona State University, PO Box 875001, Tempe, Arizona 85287, USA [2].
  • Zhang P; Biodesign Institute, Arizona State University, PO Box 875001, Tempe, Arizona 85287, USA.
  • Liu H; 1] Biodesign Institute, Arizona State University, PO Box 875001, Tempe, Arizona 85287, USA [2] Department of Chemistry and Biochemistry, Arizona State University, PO Box 871604, Tempe, Arizona 85287, USA.
  • Sen S; 1] Biodesign Institute, Arizona State University, PO Box 875001, Tempe, Arizona 85287, USA [2] Department of Chemistry and Biochemistry, Arizona State University, PO Box 871604, Tempe, Arizona 85287, USA.
  • Song W; 1] Biodesign Institute, Arizona State University, PO Box 875001, Tempe, Arizona 85287, USA [2] Department of Chemistry and Biochemistry, Arizona State University, PO Box 871604, Tempe, Arizona 85287, USA.
  • Im J; 1] Department of Physics, Arizona State University, PO Box 871504 Tempe, Arizona 85287, USA [2] Biodesign Institute, Arizona State University, PO Box 875001, Tempe, Arizona 85287, USA.
  • Gyarfas B; Biodesign Institute, Arizona State University, PO Box 875001, Tempe, Arizona 85287, USA.
  • Manna S; 1] Biodesign Institute, Arizona State University, PO Box 875001, Tempe, Arizona 85287, USA [2] Department of Chemistry and Biochemistry, Arizona State University, PO Box 871604, Tempe, Arizona 85287, USA.
  • Biswas S; 1] Biodesign Institute, Arizona State University, PO Box 875001, Tempe, Arizona 85287, USA [2] Department of Chemistry and Biochemistry, Arizona State University, PO Box 871604, Tempe, Arizona 85287, USA.
  • Borges C; 1] Biodesign Institute, Arizona State University, PO Box 875001, Tempe, Arizona 85287, USA [2] Department of Chemistry and Biochemistry, Arizona State University, PO Box 871604, Tempe, Arizona 85287, USA.
  • Lindsay S; 1] Department of Physics, Arizona State University, PO Box 871504 Tempe, Arizona 85287, USA [2] Biodesign Institute, Arizona State University, PO Box 875001, Tempe, Arizona 85287, USA [3] Department of Chemistry and Biochemistry, Arizona State University, PO Box 871604, Tempe, Arizona 85287, USA.
Nat Nanotechnol ; 9(6): 466-73, 2014 Jun.
Article em En | MEDLINE | ID: mdl-24705512
ABSTRACT
The human proteome has millions of protein variants due to alternative RNA splicing and post-translational modifications, and variants that are related to diseases are frequently present in minute concentrations. For DNA and RNA, low concentrations can be amplified using the polymerase chain reaction, but there is no such reaction for proteins. Therefore, the development of single-molecule protein sequencing is a critical step in the search for protein biomarkers. Here, we show that single amino acids can be identified by trapping the molecules between two electrodes that are coated with a layer of recognition molecules, then measuring the electron tunnelling current across the junction. A given molecule can bind in more than one way in the junction, and we therefore use a machine-learning algorithm to distinguish between the sets of electronic 'fingerprints' associated with each binding motif. With this recognition tunnelling technique, we are able to identify D and L enantiomers, a methylated amino acid, isobaric isomers and short peptides. The results suggest that direct electronic sequencing of single proteins could be possible by sequentially measuring the products of processive exopeptidase digestion, or by using a molecular motor to pull proteins through a tunnel junction integrated with a nanopore.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Peptídeos / Algoritmos / Mapeamento de Peptídeos / Inteligência Artificial / Proteoma / Aminoácidos Idioma: En Ano de publicação: 2014 Tipo de documento: Article
Texto completo
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Peptídeos / Algoritmos / Mapeamento de Peptídeos / Inteligência Artificial / Proteoma / Aminoácidos Idioma: En Ano de publicação: 2014 Tipo de documento: Article