<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Daniele MA</submitter><funding>NIGMS NIH HHS</funding><pagination>2083-90</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC3516911</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>8(13)</volume><pubmed_abstract>The isolation of a single type of protein from a complex mixture is vital for the characterization of the function, structure, and interactions of the protein of interest and is typically the most laborious aspect of the protein purification process. In this work, a model system is utilized to show the efficacy of synthesizing a "baited" nanoparticle to capture and recycle enzymes (proteins that catalyze chemical reactions) from crude cell lysate. Enzyme trapping and recycling is illustrated with the carbazole 1,9a-dioxygenase (CARDO) system, an enzyme important in bioremediation and natural product synthesis. The enzymes are baited with azide-modified carbazolyl moieties attached to poly(propargyl acrylate) nanoparticles through a click transformation. Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF) and sodium dodecyl sulfate polyacrylamide gel electrophoresis (SDS-PAGE) analysis indicates the single-step procedure to immobilize the enzymes on the particles is capable of significantly concentrating the protein from raw lysate and sequestering all required components of the protein to maintain bioactivity. These results establish a universal model applicable to concentrating and extracting known substrate-protein pairs, but it can be an invaluable tool in recognizing unknown protein-ligand affinities.</pubmed_abstract><journal>Small (Weinheim an der Bergstrasse, Germany)</journal><pubmed_title>Substrate-baited nanoparticles: a catch and release strategy for enzyme recognition and harvesting.</pubmed_title><pmcid>PMC3516911</pmcid><funding_grant_id>R01 GM098510</funding_grant_id><funding_grant_id>R01GM098510</funding_grant_id><pubmed_authors>Bandera YP</pubmed_authors><pubmed_authors>Foulger SH</pubmed_authors><pubmed_authors>Sehorn MG</pubmed_authors><pubmed_authors>Roeder R</pubmed_authors><pubmed_authors>Daniele MA</pubmed_authors><pubmed_authors>Sharma D</pubmed_authors><pubmed_authors>Rungta P</pubmed_authors></additional><is_claimable>false</is_claimable><name>Substrate-baited nanoparticles: a catch and release strategy for enzyme recognition and harvesting.</name><description>The isolation of a single type of protein from a complex mixture is vital for the characterization of the function, structure, and interactions of the protein of interest and is typically the most laborious aspect of the protein purification process. In this work, a model system is utilized to show the efficacy of synthesizing a "baited" nanoparticle to capture and recycle enzymes (proteins that catalyze chemical reactions) from crude cell lysate. Enzyme trapping and recycling is illustrated with the carbazole 1,9a-dioxygenase (CARDO) system, an enzyme important in bioremediation and natural product synthesis. The enzymes are baited with azide-modified carbazolyl moieties attached to poly(propargyl acrylate) nanoparticles through a click transformation. Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF) and sodium dodecyl sulfate polyacrylamide gel electrophoresis (SDS-PAGE) analysis indicates the single-step procedure to immobilize the enzymes on the particles is capable of significantly concentrating the protein from raw lysate and sequestering all required components of the protein to maintain bioactivity. These results establish a universal model applicable to concentrating and extracting known substrate-protein pairs, but it can be an invaluable tool in recognizing unknown protein-ligand affinities.</description><dates><release>2012-01-01T00:00:00Z</release><publication>2012 Jul</publication><modification>2020-10-29T14:59:24Z</modification><creation>2019-03-27T01:01:34Z</creation></dates><accession>S-EPMC3516911</accession><cross_references><pubmed>22532510</pubmed><doi>10.1002/smll.201200013</doi></cross_references></HashMap>