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Spectroscopy-Based Local Modeling Method for High-Throughput Quantification of Nucleic Acid Loading in Lipid Nanoparticles.
Fan, Yuchen; Shi, Zhenqi; Ma, Shengli; Razvi, Sayyeda Zeenat Anwer; Fu, Yige; Chen, Tao; Gruenhagen, Jason; Zhang, Kelly.
Afiliação
  • Fan Y; Department of Small Molecule Analytical Chemistry, Research and Early Development, Genentech Inc., 1 DNA Way, South San Francisco, California 94080, United States.
  • Shi Z; Department of Small Molecule Analytical Chemistry, Research and Early Development, Genentech Inc., 1 DNA Way, South San Francisco, California 94080, United States.
  • Ma S; Department of Small Molecule Analytical Chemistry, Research and Early Development, Genentech Inc., 1 DNA Way, South San Francisco, California 94080, United States.
  • Razvi SZA; Department of Small Molecule Analytical Chemistry, Research and Early Development, Genentech Inc., 1 DNA Way, South San Francisco, California 94080, United States.
  • Fu Y; Department of Small Molecule Analytical Chemistry, Research and Early Development, Genentech Inc., 1 DNA Way, South San Francisco, California 94080, United States.
  • Chen T; Department of Small Molecule Analytical Chemistry, Research and Early Development, Genentech Inc., 1 DNA Way, South San Francisco, California 94080, United States.
  • Gruenhagen J; Department of Small Molecule Analytical Chemistry, Research and Early Development, Genentech Inc., 1 DNA Way, South San Francisco, California 94080, United States.
  • Zhang K; Department of Small Molecule Analytical Chemistry, Research and Early Development, Genentech Inc., 1 DNA Way, South San Francisco, California 94080, United States.
Anal Chem ; 94(25): 9081-9090, 2022 06 28.
Article em En | MEDLINE | ID: mdl-35700415
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Nanopartículas / Lipídeos Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article
Texto completo
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PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Nanopartículas / Lipídeos Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article