Your browser doesn't support javascript.
loading
High-Throughput Identification of Crystalline Natural Products from Crude Extracts Enabled by Microarray Technology and microED.
Delgadillo, David A; Burch, Jessica E; Kim, Lee Joon; de Moraes, Lygia S; Niwa, Kanji; Williams, Jason; Tang, Melody J; Lavallo, Vincent G; Khatri Chhetri, Bhuwan; Jones, Christopher G; Rodriguez, Isabel Hernandez; Signore, Joshua A; Marquez, Lewis; Bhanushali, Riya; Woo, Sunmin; Kubanek, Julia; Quave, Cassandra; Tang, Yi; Nelson, Hosea M.
Afiliación
  • Delgadillo DA; Division of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, California 91125, United States.
  • Burch JE; Division of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, California 91125, United States.
  • Kim LJ; Department of Chemistry and Biochemistry, and Department of Chemical and Biomolecular Engineering, University of California, Los Angeles, Los Angeles, California 90095, United States.
  • de Moraes LS; Division of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, California 91125, United States.
  • Niwa K; Department of Chemistry and Biochemistry, and Department of Chemical and Biomolecular Engineering, University of California, Los Angeles, Los Angeles, California 90095, United States.
  • Williams J; Department of Chemistry and Biochemistry, and Department of Chemical and Biomolecular Engineering, University of California, Los Angeles, Los Angeles, California 90095, United States.
  • Tang MJ; Division of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, California 91125, United States.
  • Lavallo VG; Division of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, California 91125, United States.
  • Khatri Chhetri B; School of Biological Sciences, School of Chemistry and Biochemistry, and Neuroscience Program, Georgia Institute of Technology, Atlanta, Georgia 30332, United States.
  • Jones CG; Division of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, California 91125, United States.
  • Rodriguez IH; Division of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, California 91125, United States.
  • Signore JA; Division of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, California 91125, United States.
  • Marquez L; Molecular and Systems Pharmacology, Laney Graduate School, Emory University, Atlanta, Georgia 30322, United States.
  • Bhanushali R; School of Biological Sciences, School of Chemistry and Biochemistry, and Neuroscience Program, Georgia Institute of Technology, Atlanta, Georgia 30332, United States.
  • Woo S; Center for the Study of Human Health, Emory University, Atlanta, Georgia 30322, United States.
  • Kubanek J; School of Biological Sciences, School of Chemistry and Biochemistry, and Neuroscience Program, Georgia Institute of Technology, Atlanta, Georgia 30332, United States.
  • Quave C; Molecular and Systems Pharmacology, Laney Graduate School, Emory University, Atlanta, Georgia 30322, United States.
  • Tang Y; Center for the Study of Human Health, Emory University, Atlanta, Georgia 30322, United States.
  • Nelson HM; Department of Dermatology, Emory University School of Medicine, Atlanta, Georgia 30322, United States.
ACS Cent Sci ; 10(1): 176-183, 2024 Jan 24.
Article en En | MEDLINE | ID: mdl-38292598
ABSTRACT
The structural determination of natural products (NPs) can be arduous because of sample heterogeneity. This often demands iterative purification processes and characterization of complex molecules that may be available only in miniscule quantities. Microcrystal electron diffraction (microED) has recently shown promise as a method to solve crystal structures of NPs from nanogram quantities of analyte. However, its implementation in NP discovery remains hampered by sample throughput and purity requirements, akin to traditional NP-discovery workflows. In the methods described herein, we leverage the resolving power of transmission electron microscopy (TEM) and the miniaturization capabilities of deoxyribonucleic acid (DNA) microarray technology to address these challenges through the establishment of an NP screening platform, array electron diffraction (ArrayED). In this workflow, an array of high-performance liquid chromatography (HPLC) fractions taken from crude extracts was deposited onto TEM grids in picoliter-sized droplets. This multiplexing of analytes on TEM grids enables 1200 or more unique samples to be simultaneously inserted into a TEM instrument equipped with an autoloader. Selected area electron diffraction analysis of these microarrayed grids allows for the rapid identification of crystalline metabolites. In this study, ArrayED enabled structural characterization of 14 natural products, including four novel crystal structures and two novel polymorphs, from 20 crude extracts. Moreover, we identify several chemical species that would not be detected by standard mass spectrometry (MS) or ultraviolet-visible (UV/vis) spectroscopy and crystal forms that would not be characterized using traditional methods.

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Diagnostic_studies Idioma: En Revista: ACS Cent Sci Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Diagnostic_studies Idioma: En Revista: ACS Cent Sci Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos