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Delgadillo D, Burch JE, Kim LJ, de Moraes LS, Niwa K, Williams J, Tang MJ, Lavallo VG, Khatri Chhetri B, Jones CG, Rodriguez IH, Signore JA, Marquez L, Bhanushali R, Woo S, Kubanek J, Quave C, Tang Y, Nelson HM. High-Throughput Identification of Crystalline Natural Products from Crude Extracts Enabled by Microarray Technology and microED. ACS CENTRAL SCIENCE 2024; 10:176-183. [PMID: 38292598 PMCID: PMC10823509 DOI: 10.1021/acscentsci.3c01365] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/03/2023] [Revised: 12/04/2023] [Accepted: 12/04/2023] [Indexed: 02/01/2024]
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.
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Affiliation(s)
- David
A. Delgadillo
- Division
of Chemistry and Chemical Engineering, California
Institute of Technology, Pasadena, California 91125, United States
| | - Jessica E. Burch
- Division
of Chemistry and Chemical Engineering, California
Institute of Technology, Pasadena, California 91125, United States
| | - Lee Joon Kim
- Department of Chemistry
and Biochemistry, and Department of Chemical and Biomolecular
Engineering, University of California, Los
Angeles, Los Angeles, California 90095, United States
| | - Lygia S. de Moraes
- Division
of Chemistry and Chemical Engineering, California
Institute of Technology, Pasadena, California 91125, United States
| | - Kanji Niwa
- Department of Chemistry
and Biochemistry, and Department of Chemical and Biomolecular
Engineering, University of California, Los
Angeles, Los Angeles, California 90095, United States
| | - Jason Williams
- Department of Chemistry
and Biochemistry, and Department of Chemical and Biomolecular
Engineering, University of California, Los
Angeles, Los Angeles, California 90095, United States
| | - Melody J. Tang
- Division
of Chemistry and Chemical Engineering, California
Institute of Technology, Pasadena, California 91125, United States
| | - Vincent G. Lavallo
- Division
of Chemistry and Chemical Engineering, California
Institute of Technology, Pasadena, California 91125, United States
| | - Bhuwan Khatri Chhetri
- School
of Biological Sciences, School of Chemistry
and Biochemistry, and Neuroscience Program, Georgia Institute of Technology, Atlanta, Georgia 30332, United States
| | - Christopher G. Jones
- Division
of Chemistry and Chemical Engineering, California
Institute of Technology, Pasadena, California 91125, United States
| | - Isabel Hernandez Rodriguez
- Division
of Chemistry and Chemical Engineering, California
Institute of Technology, Pasadena, California 91125, United States
| | - Joshua A. Signore
- Division
of Chemistry and Chemical Engineering, California
Institute of Technology, Pasadena, California 91125, United States
| | - Lewis Marquez
- Molecular
and Systems Pharmacology, Laney Graduate School, Emory University, Atlanta, Georgia 30322, United States
| | - Riya Bhanushali
- School
of Biological Sciences, School of Chemistry
and Biochemistry, and Neuroscience Program, Georgia Institute of Technology, Atlanta, Georgia 30332, United States
| | - Sunmin Woo
- Center
for the Study of Human Health, Emory University, Atlanta, Georgia 30322, United States
| | - Julia Kubanek
- School
of Biological Sciences, School of Chemistry
and Biochemistry, and Neuroscience Program, Georgia Institute of Technology, Atlanta, Georgia 30332, United States
| | - Cassandra Quave
- Molecular
and Systems Pharmacology, Laney Graduate School, Emory University, Atlanta, Georgia 30322, United States
- Center
for the Study of Human Health, Emory University, Atlanta, Georgia 30322, United States
- Department
of Dermatology, Emory University School
of Medicine, Atlanta, Georgia 30322, United
States
| | - Yi Tang
- Department of Chemistry
and Biochemistry, and Department of Chemical and Biomolecular
Engineering, University of California, Los
Angeles, Los Angeles, California 90095, United States
| | - Hosea M. Nelson
- Division
of Chemistry and Chemical Engineering, California
Institute of Technology, Pasadena, California 91125, United States
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2
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Interfacing microfluidics with information-rich detection systems for cells, bioparticles, and molecules. Anal Bioanal Chem 2022; 414:4575-4589. [PMID: 35389095 PMCID: PMC8987515 DOI: 10.1007/s00216-022-04043-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2022] [Revised: 03/01/2022] [Accepted: 03/24/2022] [Indexed: 11/16/2022]
Abstract
The development of elegant and numerous microfluidic manipulations has enabled significant advances in the processing of small volume samples and the detection of minute amounts of biomaterials. Effective isolation of single cells in a defined volume as well as manipulations of complex bioparticle or biomolecule mixtures allows for the utilization of information-rich detection methods including mass spectrometry, electron microscopy imaging, and amplification/sequencing. The art and science of translating biosamples from microfluidic platforms to highly advanced, information-rich detection system is the focus of this review, where we term the translation between the microfluidics elements to the external world “off-chipping.” When presented with the challenge of presenting sub-nanoliter volumes of manipulated sample to a detection scheme, several delivery techniques have been developed for effective analysis. These techniques include spraying (electrospray, nano-electrospray, pneumatic), meniscus-defined volumes (droplets, plugs), constrained volumes (narrow channels, containers), and phase changes (deposition, freezing). Each technique has been proven effective in delivering highly defined samples from microfluidic systems to the detection elements. This review organizes and presents selective publications that illustrate the advancements of these delivery techniques with respect to the type of sample analyzed, while introducing each strategy and providing historical perspective. The publications highlighted in this review were chosen due to their significance and relevance in the development of their respective off-chip technique.
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3
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Hauser J, Kylberg G, Colomb-Delsuc M, Stemme G, Sintorn IM, Roxhed N. A microfluidic device for TEM sample preparation. LAB ON A CHIP 2020; 20:4186-4193. [PMID: 33033812 DOI: 10.1039/d0lc00724b] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
Abstract
Transmission electron microscopy (TEM) allows for visualizing and analyzing viral particles and has become a vital tool for the development of vaccines and biopharmaceuticals. However, appropriate TEM sample preparation is typically done manually which introduces operator-based dependencies and can lead to unreliable results. Here, we present a capillary-driven microfluidic single-use device that prepares a TEM grid with minimal and non-critical user interaction. The user only initiates the sample preparation process, waits for about one minute and then collects the TEM grid, ready for imaging. Using Adeno-associated virus (AAV) particles as the sample and NanoVan® as the stain, we demonstrate microfluidic consistency and show that the sample preparation quality is sufficient for automated image analysis. We further demonstrate the versatility of the microfluidic device by preparing two protein complexes for TEM investigations using two different stain types. The presented TEM sample preparation concept could alleviate the problems associated with human inconsistency in manual preparation protocols and allow for non-specialists to prepare TEM samples.
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Affiliation(s)
- Janosch Hauser
- Division of Micro and Nanosystems, KTH Royal Institute of Technology, 10044 Stockholm, Sweden.
| | | | | | - Göran Stemme
- Division of Micro and Nanosystems, KTH Royal Institute of Technology, 10044 Stockholm, Sweden.
| | | | - Niclas Roxhed
- Division of Micro and Nanosystems, KTH Royal Institute of Technology, 10044 Stockholm, Sweden.
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4
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Arnold SA, Müller SA, Schmidli C, Syntychaki A, Rima L, Chami M, Stahlberg H, Goldie KN, Braun T. Miniaturizing EM Sample Preparation: Opportunities, Challenges, and “Visual Proteomics”. Proteomics 2018; 18:e1700176. [DOI: 10.1002/pmic.201700176] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2017] [Revised: 01/15/2018] [Indexed: 01/31/2023]
Affiliation(s)
- Stefan A. Arnold
- Center for Cellular Imaging and NanoAnalytics (C-CINA); Biozentrum; University of Basel; Basel Switzerland
- Swiss Nanoscience Institute; University of Basel; Basel Switzerland
| | - Shirley A. Müller
- Center for Cellular Imaging and NanoAnalytics (C-CINA); Biozentrum; University of Basel; Basel Switzerland
| | - Claudio Schmidli
- Center for Cellular Imaging and NanoAnalytics (C-CINA); Biozentrum; University of Basel; Basel Switzerland
- Swiss Nanoscience Institute; University of Basel; Basel Switzerland
| | - Anastasia Syntychaki
- Center for Cellular Imaging and NanoAnalytics (C-CINA); Biozentrum; University of Basel; Basel Switzerland
| | - Luca Rima
- Center for Cellular Imaging and NanoAnalytics (C-CINA); Biozentrum; University of Basel; Basel Switzerland
| | - Mohamed Chami
- BioEM Lab; Biozentrum; University of Basel; Basel Switzerland
| | - Henning Stahlberg
- Center for Cellular Imaging and NanoAnalytics (C-CINA); Biozentrum; University of Basel; Basel Switzerland
| | - Kenneth N. Goldie
- Center for Cellular Imaging and NanoAnalytics (C-CINA); Biozentrum; University of Basel; Basel Switzerland
| | - Thomas Braun
- Center for Cellular Imaging and NanoAnalytics (C-CINA); Biozentrum; University of Basel; Basel Switzerland
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5
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Wolff G, Hagen C, Grünewald K, Kaufmann R. Towards correlative super-resolution fluorescence and electron cryo-microscopy. Biol Cell 2016; 108:245-58. [PMID: 27225383 PMCID: PMC5524168 DOI: 10.1111/boc.201600008] [Citation(s) in RCA: 64] [Impact Index Per Article: 7.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2016] [Revised: 05/20/2016] [Accepted: 05/23/2016] [Indexed: 12/31/2022]
Abstract
Correlative light and electron microscopy (CLEM) has become a powerful tool in life sciences. Particularly cryo-CLEM, the combination of fluorescence cryo-microscopy (cryo-FM) permitting for non-invasive specific multi-colour labelling, with electron cryo-microscopy (cryo-EM) providing the undisturbed structural context at a resolution down to the Ångstrom range, has enabled a broad range of new biological applications. Imaging rare structures or events in crowded environments, such as inside a cell, requires specific fluorescence-based information for guiding cryo-EM data acquisition and/or to verify the identity of the structure of interest. Furthermore, cryo-CLEM can provide information about the arrangement of specific proteins in the wider structural context of their native nano-environment. However, a major obstacle of cryo-CLEM currently hindering many biological applications is the large resolution gap between cryo-FM (typically in the range of ∼400 nm) and cryo-EM (single nanometre to the Ångstrom range). Very recently, first proof of concept experiments demonstrated the feasibility of super-resolution cryo-FM imaging and the correlation with cryo-EM. This opened the door towards super-resolution cryo-CLEM, and thus towards direct correlation of structural details from both imaging modalities.
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Affiliation(s)
- Georg Wolff
- Division of Structural Biology, Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Christoph Hagen
- Division of Structural Biology, Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Kay Grünewald
- Division of Structural Biology, Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Rainer Kaufmann
- Division of Structural Biology, Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK.
- Department of Biochemistry, University of Oxford, Oxford, UK.
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6
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Arnold SA, Albiez S, Opara N, Chami M, Schmidli C, Bieri A, Padeste C, Stahlberg H, Braun T. Total Sample Conditioning and Preparation of Nanoliter Volumes for Electron Microscopy. ACS NANO 2016; 10:4981-4988. [PMID: 27074622 DOI: 10.1021/acsnano.6b01328] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/05/2023]
Abstract
Electron microscopy (EM) entered a new era with the emergence of direct electron detectors and new nanocrystal electron diffraction methods. However, sample preparation techniques have not progressed and still suffer from extensive blotting steps leading to a massive loss of sample. Here, we present a simple but versatile method for the almost lossless sample conditioning and preparation of nanoliter volumes of biological samples for EM, keeping the sample under close to physiological condition. A microcapillary is used to aspirate 3-5 nL of sample. The microcapillary tip is immersed into a reservoir of negative stain or trehalose, where the sample becomes conditioned by diffusive exchange of salt and heavy metal ions or sugar molecules, respectively, before it is deposited as a small spot onto an EM grid. We demonstrate the use of the method to prepare protein particles for imaging by transmission EM and nanocrystals for analysis by electron diffraction. Furthermore, the minute sample volume required for this method enables alternative strategies for biological experiments, such as the analysis of the content of a single cell by visual proteomics, fully exploiting the single molecule detection limit of EM.
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Affiliation(s)
| | | | - Nadia Opara
- Paul Scherrer Institute (PSI) , 5232 Villigen, Switzerland
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7
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Tan YZ, Cheng A, Potter CS, Carragher B. Automated data collection in single particle electron microscopy. Microscopy (Oxf) 2015; 65:43-56. [PMID: 26671944 DOI: 10.1093/jmicro/dfv369] [Citation(s) in RCA: 36] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2015] [Accepted: 11/06/2015] [Indexed: 11/12/2022] Open
Abstract
Automated data collection is an integral part of modern workflows in single particle electron microscopy (EM) research. This review surveys the software packages available for automated single particle EM data collection. The degree of automation at each stage of data collection is evaluated, and the capabilities of the software packages are described. Finally, future trends in automation are discussed.
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Affiliation(s)
- Yong Zi Tan
- The National Resource for Automated Molecular Microscopy, New York Structural Biology Center, New York, NY 10027, USA Simons Electron Microscopy Center, New York Structural Biology Center, 89 Convent Ave, New York, NY 10027, USA Department of Biochemistry and Molecular Biophysics, Columbia University, New York, NY 10032, USA
| | - Anchi Cheng
- The National Resource for Automated Molecular Microscopy, New York Structural Biology Center, New York, NY 10027, USA Simons Electron Microscopy Center, New York Structural Biology Center, 89 Convent Ave, New York, NY 10027, USA
| | - Clinton S Potter
- The National Resource for Automated Molecular Microscopy, New York Structural Biology Center, New York, NY 10027, USA Simons Electron Microscopy Center, New York Structural Biology Center, 89 Convent Ave, New York, NY 10027, USA Department of Biochemistry and Molecular Biophysics, Columbia University, New York, NY 10032, USA
| | - Bridget Carragher
- The National Resource for Automated Molecular Microscopy, New York Structural Biology Center, New York, NY 10027, USA Simons Electron Microscopy Center, New York Structural Biology Center, 89 Convent Ave, New York, NY 10027, USA Department of Biochemistry and Molecular Biophysics, Columbia University, New York, NY 10032, USA
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8
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Mulligan SK, Speir JA, Razinkov I, Cheng A, Crum J, Jain T, Duggan E, Liu E, Nolan JP, Carragher B, Potter CS. Multiplexed TEM Specimen Preparation and Analysis of Plasmonic Nanoparticles. MICROSCOPY AND MICROANALYSIS : THE OFFICIAL JOURNAL OF MICROSCOPY SOCIETY OF AMERICA, MICROBEAM ANALYSIS SOCIETY, MICROSCOPICAL SOCIETY OF CANADA 2015; 21:1017-1025. [PMID: 26223550 PMCID: PMC4701052 DOI: 10.1017/s1431927615014324] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/01/2023]
Abstract
We describe a system for rapidly screening hundreds of nanoparticle samples using transmission electron microscopy (TEM). The system uses a liquid handling robot to place up to 96 individual samples onto a single standard TEM grid at separate locations. The grid is then transferred into the TEM and automated software is used to acquire multiscale images of each sample. The images are then analyzed to extract metrics on the size, shape, and morphology of the nanoparticles. The system has been used to characterize plasmonically active nanomaterials.
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Affiliation(s)
- Sean K. Mulligan
- The National Resource for Automated Molecular Microscopy, La Jolla, California, 92037, USA
| | - Jeffrey A. Speir
- The National Resource for Automated Molecular Microscopy, La Jolla, California, 92037, USA
| | - Ivan Razinkov
- The National Resource for Automated Molecular Microscopy, La Jolla, California, 92037, USA
- New York Structural Biology Center, New York, New York, 10027, USA
| | - Anchi Cheng
- The National Resource for Automated Molecular Microscopy, La Jolla, California, 92037, USA
- New York Structural Biology Center, New York, New York, 10027, USA
| | - John Crum
- The National Resource for Automated Molecular Microscopy, La Jolla, California, 92037, USA
| | - Tilak Jain
- The National Resource for Automated Molecular Microscopy, La Jolla, California, 92037, USA
| | - Erika Duggan
- Scintillon Institute, San Diego, California, 92121, USA
| | - Er Liu
- La Jolla Bioengineering Institute, San Diego, California, 92121, USA
| | - John P. Nolan
- Scintillon Institute, San Diego, California, 92121, USA
| | - Bridget Carragher
- The National Resource for Automated Molecular Microscopy, La Jolla, California, 92037, USA
- New York Structural Biology Center, New York, New York, 10027, USA
| | - Clinton S. Potter
- The National Resource for Automated Molecular Microscopy, La Jolla, California, 92037, USA
- New York Structural Biology Center, New York, New York, 10027, USA
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