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Impact of inherent biases built into proteomic techniques: Proximity labeling and affinity capture compared.
Moreira, Claudia Maria do Nascimento; Kelemen, Cristina D; Obado, Samson O; Zahedifard, Farnaz; Zhang, Ning; Holetz, Fabiola B; Gauglitz, Laura; Dallagiovanna, Bruno; Field, Mark C; Kramer, Susanne; Zoltner, Martin.
Afiliación
  • Moreira CMDN; Department of Cell and Developmental Biology, Biocenter, University of Würzburg, Würzburg, Germany; Carlos Chagas Institute (ICC), FIOCRUZ/PR, Curitiba, Brazil.
  • Kelemen CD; Department of Parasitology, Faculty of Science, Charles University in Prague, Biocev, Vestec, Czech Republic.
  • Obado SO; The Rockefeller University, Laboratory of Cellular and Structural Biology, New York, New York, USA.
  • Zahedifard F; Department of Parasitology, Faculty of Science, Charles University in Prague, Biocev, Vestec, Czech Republic.
  • Zhang N; School of Life Sciences, University of Dundee, Dundee, United Kingdom.
  • Holetz FB; Carlos Chagas Institute (ICC), FIOCRUZ/PR, Curitiba, Brazil.
  • Gauglitz L; Department of Cell and Developmental Biology, Biocenter, University of Würzburg, Würzburg, Germany.
  • Dallagiovanna B; Carlos Chagas Institute (ICC), FIOCRUZ/PR, Curitiba, Brazil.
  • Field MC; School of Life Sciences, University of Dundee, Dundee, United Kingdom; Institute of Parasitology, Biology Centre, Czech Academy of Sciences, Ceské Budejovice, Czech Republic.
  • Kramer S; Department of Cell and Developmental Biology, Biocenter, University of Würzburg, Würzburg, Germany. Electronic address: susanne.kramer@uni-wuerzburg.de.
  • Zoltner M; Department of Parasitology, Faculty of Science, Charles University in Prague, Biocev, Vestec, Czech Republic. Electronic address: zoltnerm@natur.cuni.cz.
J Biol Chem ; 299(1): 102726, 2023 01.
Article en En | MEDLINE | ID: mdl-36410438
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Proteínas / Proteómica Tipo de estudio: Prognostic_studies Idioma: En Año: 2023 Tipo del documento: Article
Texto completo
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XML
PubMed Links
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Proteínas / Proteómica Tipo de estudio: Prognostic_studies Idioma: En Año: 2023 Tipo del documento: Article