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Autonomous Molecular Cascades for Evaluation of Cell Surfaces
Molecular automata are mixtures of molecules that undergo precisely defined structural changes in response to sequential interactions with inputs(1–4). Previously studied nucleic acid-based-automata include game-playing molecular devices (MAYA automata(3,5)) and finite-state automata for analysis of...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3776593/ https://www.ncbi.nlm.nih.gov/pubmed/23892986 http://dx.doi.org/10.1038/nnano.2013.142 |
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author | Rudchenko, Maria Taylor, Steven Pallavi, Payal Dechkovskaia, Alesia Khan, Safana Butler, Vincent P. Rudchenko, Sergei Stojanovic, Milan N. |
author_facet | Rudchenko, Maria Taylor, Steven Pallavi, Payal Dechkovskaia, Alesia Khan, Safana Butler, Vincent P. Rudchenko, Sergei Stojanovic, Milan N. |
author_sort | Rudchenko, Maria |
collection | PubMed |
description | Molecular automata are mixtures of molecules that undergo precisely defined structural changes in response to sequential interactions with inputs(1–4). Previously studied nucleic acid-based-automata include game-playing molecular devices (MAYA automata(3,5)) and finite-state automata for analysis of nucleic acids(6) with the latter inspiring circuits for the analysis of RNA species inside cells(7,8). Here, we describe automata based on strand-displacement(9,10) cascades directed by antibodies that can analyze cells by using their surface markers as inputs. The final output of a molecular automaton that successfully completes its analysis is the presence of a unique molecular tag on the cell surface of a specific subpopulation of lymphocytes within human blood cells. |
format | Online Article Text |
id | pubmed-3776593 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
record_format | MEDLINE/PubMed |
spelling | pubmed-37765932014-02-01 Autonomous Molecular Cascades for Evaluation of Cell Surfaces Rudchenko, Maria Taylor, Steven Pallavi, Payal Dechkovskaia, Alesia Khan, Safana Butler, Vincent P. Rudchenko, Sergei Stojanovic, Milan N. Nat Nanotechnol Article Molecular automata are mixtures of molecules that undergo precisely defined structural changes in response to sequential interactions with inputs(1–4). Previously studied nucleic acid-based-automata include game-playing molecular devices (MAYA automata(3,5)) and finite-state automata for analysis of nucleic acids(6) with the latter inspiring circuits for the analysis of RNA species inside cells(7,8). Here, we describe automata based on strand-displacement(9,10) cascades directed by antibodies that can analyze cells by using their surface markers as inputs. The final output of a molecular automaton that successfully completes its analysis is the presence of a unique molecular tag on the cell surface of a specific subpopulation of lymphocytes within human blood cells. 2013-07-28 2013-08 /pmc/articles/PMC3776593/ /pubmed/23892986 http://dx.doi.org/10.1038/nnano.2013.142 Text en Users may view, print, copy, download and text and data- mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use: http://www.nature.com/authors/editorial_policies/license.html#terms |
spellingShingle | Article Rudchenko, Maria Taylor, Steven Pallavi, Payal Dechkovskaia, Alesia Khan, Safana Butler, Vincent P. Rudchenko, Sergei Stojanovic, Milan N. Autonomous Molecular Cascades for Evaluation of Cell Surfaces |
title | Autonomous Molecular Cascades for Evaluation of Cell Surfaces |
title_full | Autonomous Molecular Cascades for Evaluation of Cell Surfaces |
title_fullStr | Autonomous Molecular Cascades for Evaluation of Cell Surfaces |
title_full_unstemmed | Autonomous Molecular Cascades for Evaluation of Cell Surfaces |
title_short | Autonomous Molecular Cascades for Evaluation of Cell Surfaces |
title_sort | autonomous molecular cascades for evaluation of cell surfaces |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3776593/ https://www.ncbi.nlm.nih.gov/pubmed/23892986 http://dx.doi.org/10.1038/nnano.2013.142 |
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