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Berckmueller K, Thomas J, Taha EA, Choo S, Madhu R, Kanestrom G, Rupert PB, Strong R, Kiem HP, Radtke S. CD90-targeted lentiviral vectors for HSC gene therapy. Mol Ther 2023; 31:2901-2913. [PMID: 37550965 PMCID: PMC10556220 DOI: 10.1016/j.ymthe.2023.08.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2023] [Revised: 06/12/2023] [Accepted: 08/03/2023] [Indexed: 08/09/2023] Open
Abstract
Hematopoietic stem cell (HSC) gene therapy is currently performed on CD34+ hematopoietic stem and progenitor cells containing less than 1% true HSCs and requiring a highly specialized infrastructure for cell manufacturing and transplantation. We have previously identified the CD34+CD90+ subset to be exclusively responsible for short- and long-term engraftment. However, purification and enrichment of this subset is laborious and expensive. HSC-specific delivery agents for the direct modification of rare HSCs are currently lacking. Here, we developed novel targeted viral vectors to specifically transduce CD90-expressing HSCs. Anti-CD90 single chain variable fragments (scFvs) were engineered onto measles- and VSV-G-pseudotyped lentiviral vectors that were knocked out for native targeting. We further developed a custom hydrodynamic titration methodology to assess the loading of surface-engineered capsids, measure antigen recognition of the scFv, and predict the performance on cells. Engineered vectors formed with minimal impairment in the functional titer, maintained their ability to fuse with the target cells, and showed highly specific recognition of CD90 on cells ex vivo. Most important, targeted vectors selectively transduced human HSCs with secondary colony-forming potential. Our novel HSC-targeted viral vectors have the potential to significantly enhance the feasibility of ex vivo gene therapy and pave the way for future in vivo applications.
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Affiliation(s)
- Kurt Berckmueller
- Stem Cell and Gene Therapy Program, Translational Science and Therapeutics Division, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA
| | - Justin Thomas
- Stem Cell and Gene Therapy Program, Translational Science and Therapeutics Division, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA
| | - Eman A Taha
- Stem Cell and Gene Therapy Program, Translational Science and Therapeutics Division, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA; Department of Biochemistry, Ain Shams University Faculty of Science, Cairo 11566, Egypt
| | - Seunga Choo
- Stem Cell and Gene Therapy Program, Translational Science and Therapeutics Division, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA
| | - Ravishankar Madhu
- Stem Cell and Gene Therapy Program, Translational Science and Therapeutics Division, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA
| | - Greta Kanestrom
- Stem Cell and Gene Therapy Program, Translational Science and Therapeutics Division, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA
| | - Peter B Rupert
- Basic Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA
| | - Roland Strong
- Basic Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA
| | - Hans-Peter Kiem
- Stem Cell and Gene Therapy Program, Translational Science and Therapeutics Division, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA; Department of Medicine, University of Washington School of Medicine, Seattle, WA 98195, USA; Department of Pathology, University of Washington School of Medicine, Seattle, WA 98195, USA.
| | - Stefan Radtke
- Stem Cell and Gene Therapy Program, Translational Science and Therapeutics Division, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA.
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Van Lent J, Breukers J, Ven K, Ampofo L, Horta S, Pollet F, Imbrechts M, Geukens N, Vanhoorelbeke K, Declerck P, Lammertyn J. Miniaturized single-cell technologies for monoclonal antibody discovery. LAB ON A CHIP 2021; 21:3627-3654. [PMID: 34505611 DOI: 10.1039/d1lc00243k] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
Antibodies (Abs) are among the most important class of biologicals, showcasing a high therapeutic and diagnostic value. In the global therapeutic Ab market, fully-human monoclonal Abs (FH-mAbs) are flourishing thanks to their low immunogenicity and high specificity. The rapidly emerging field of single-cell technologies has paved the way to efficiently discover mAbs by facilitating a fast screening of the antigen (Ag)-specificity and functionality of Abs expressed by B cells. This review summarizes the principles and challenges of the four key concepts to discover mAbs using these technologies, being confinement of single cells using either droplet microfluidics or microstructure arrays, identification of the cells of interest, retrieval of those cells and single-cell sequence determination required for mAb production. This review reveals the enormous potential for mix-and-matching of the above-mentioned strategies, which is illustrated by the plethora of established, highly integrated devices. Lastly, an outlook is given on the many opportunities and challenges that still lie ahead to fully exploit miniaturized single-cell technologies for mAb discovery.
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Affiliation(s)
- Julie Van Lent
- Department of Biosystems, Biosensors Group, KU Leuven, Leuven 3001, Belgium.
| | - Jolien Breukers
- Department of Biosystems, Biosensors Group, KU Leuven, Leuven 3001, Belgium.
| | - Karen Ven
- Department of Biosystems, Biosensors Group, KU Leuven, Leuven 3001, Belgium.
| | - Louanne Ampofo
- Department of Biosystems, Biosensors Group, KU Leuven, Leuven 3001, Belgium.
- Laboratory for Therapeutic and Diagnostic Antibodies, KU Leuven, Leuven 3000, Belgium
| | - Sara Horta
- Laboratory for Thrombosis Research, IRF Life Sciences, KU Leuven Campus Kulak Kortrijk, Kortrijk 8500, Belgium
| | - Francesca Pollet
- Department of Biosystems, Biosensors Group, KU Leuven, Leuven 3001, Belgium.
| | - Maya Imbrechts
- Laboratory for Therapeutic and Diagnostic Antibodies, KU Leuven, Leuven 3000, Belgium
- PharmAbs, The KU Leuven Antibody Center, KU Leuven, Leuven 3000, Belgium
| | - Nick Geukens
- PharmAbs, The KU Leuven Antibody Center, KU Leuven, Leuven 3000, Belgium
| | - Karen Vanhoorelbeke
- Laboratory for Thrombosis Research, IRF Life Sciences, KU Leuven Campus Kulak Kortrijk, Kortrijk 8500, Belgium
- PharmAbs, The KU Leuven Antibody Center, KU Leuven, Leuven 3000, Belgium
| | - Paul Declerck
- Laboratory for Therapeutic and Diagnostic Antibodies, KU Leuven, Leuven 3000, Belgium
- PharmAbs, The KU Leuven Antibody Center, KU Leuven, Leuven 3000, Belgium
| | - Jeroen Lammertyn
- Department of Biosystems, Biosensors Group, KU Leuven, Leuven 3001, Belgium.
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Eaglesham JB, Garcia A, Berkmen M. Production of antibodies in SHuffle Escherichia coli strains. Methods Enzymol 2021; 659:105-144. [PMID: 34752282 DOI: 10.1016/bs.mie.2021.06.040] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Antibodies are globally important macromolecules, used for research, diagnostics, and as therapeutics. The common mammalian antibody immunoglobulin G (IgG) is a complex glycosylated macromolecule, composed of two heavy chains and two light chains held together by multiple disulfide bonds. For this reason, IgG and related antibody fragments are usually produced through secretion from mammalian cell lines, such as Chinese Hamster Ovary cells. However, there is growing interest in production of antibodies in prokaryotic systems due to the potential for rapid and cheap production in a highly genetically manipulable system. Research on oxidative protein folding in prokaryotes has enabled engineering of Escherichia coli strains capable of producing IgG and other disulfide bonded proteins in the cytoplasm, known as SHuffle. In this protocol, we provide a review of research on prokaryotic antibody production, guidelines on cloning of antibody expression constructs, conditions for an initial expression and purification experiment, and parameters which may be optimized for increased purification yields. Last, we discuss the limitations of prokaryotic antibody production, and highlight potential future avenues for research on antibody expression and folding.
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Kreer C, Döring M, Lehnen N, Ercanoglu MS, Gieselmann L, Luca D, Jain K, Schommers P, Pfeifer N, Klein F. openPrimeR for multiplex amplification of highly diverse templates. J Immunol Methods 2020; 480:112752. [PMID: 31991148 DOI: 10.1016/j.jim.2020.112752] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2019] [Revised: 11/19/2019] [Accepted: 01/24/2020] [Indexed: 12/28/2022]
Abstract
To study the diversity of immune receptors and pathogens, multiplex PCR has become a central approach in research and diagnostics. However, insufficient primer design against highly diverse templates often prevents amplification and therefore limits the correct understanding of biological processes. Here, we present openPrimeR, an R-based tool for evaluating and designing multiplex PCR primers. openPrimeR provides a functional and intuitive interface and uses either a greedy algorithm or an integer linear program to compute the minimal set of primers that performs full target coverage. As proof of concept, we used openPrimeR to find optimal primer sets for the amplification of highly mutated immunoglobulins. Comprehensive analyses on specifically generated immunoglobulin variable gene segment libraries resulted in the composition of highly effective primer sets (oPR-IGHV, oPR-IGKV and oPR-IGLV) that demonstrated to be particularly suitable for the isolation of novel human antibodies.
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Affiliation(s)
- Christoph Kreer
- Laboratory of Experimental Immunology, Institute of Virology, Faculty of Medicine and University Hospital Cologne, University of Cologne, 50931 Cologne, Germany; Center for Molecular Medicine Cologne (CMMC), University of Cologne, 50931 Cologne, Germany
| | - Matthias Döring
- Department of Computational Biology and Applied Algorithmics, Max Planck Institute for Informatics, Saarland Informatics Campus, 66123 Saarbrücken, Germany
| | - Nathalie Lehnen
- Laboratory of Experimental Immunology, Institute of Virology, Faculty of Medicine and University Hospital Cologne, University of Cologne, 50931 Cologne, Germany; Center for Molecular Medicine Cologne (CMMC), University of Cologne, 50931 Cologne, Germany; German Center for Infection Research (DZIF), partner site Bonn-Cologne, Cologne, Germany
| | - Meryem S Ercanoglu
- Laboratory of Experimental Immunology, Institute of Virology, Faculty of Medicine and University Hospital Cologne, University of Cologne, 50931 Cologne, Germany; Center for Molecular Medicine Cologne (CMMC), University of Cologne, 50931 Cologne, Germany
| | - Lutz Gieselmann
- Laboratory of Experimental Immunology, Institute of Virology, Faculty of Medicine and University Hospital Cologne, University of Cologne, 50931 Cologne, Germany; Center for Molecular Medicine Cologne (CMMC), University of Cologne, 50931 Cologne, Germany
| | - Domnica Luca
- Laboratory of Experimental Immunology, Institute of Virology, Faculty of Medicine and University Hospital Cologne, University of Cologne, 50931 Cologne, Germany; Center for Molecular Medicine Cologne (CMMC), University of Cologne, 50931 Cologne, Germany
| | - Kanika Jain
- Laboratory of Experimental Immunology, Institute of Virology, Faculty of Medicine and University Hospital Cologne, University of Cologne, 50931 Cologne, Germany; Center for Molecular Medicine Cologne (CMMC), University of Cologne, 50931 Cologne, Germany
| | - Philipp Schommers
- Laboratory of Experimental Immunology, Institute of Virology, Faculty of Medicine and University Hospital Cologne, University of Cologne, 50931 Cologne, Germany; German Center for Infection Research (DZIF), partner site Bonn-Cologne, Cologne, Germany; Department I of Internal Medicine, Faculty of Medicine and University Hospital Cologne, University of Cologne, 50937 Cologne, Germany
| | - Nico Pfeifer
- Department of Computational Biology and Applied Algorithmics, Max Planck Institute for Informatics, Saarland Informatics Campus, 66123 Saarbrücken, Germany; Methods in Medical Informatics, Department of Computer Science, University of Tübingen, 72076 Tübingen, Germany; Medical Faculty, University of Tübingen, 72076 Tübingen, Germany; German Center for Infection Research (DZIF), partner site Tübingen, Tübingen, Germany
| | - Florian Klein
- Laboratory of Experimental Immunology, Institute of Virology, Faculty of Medicine and University Hospital Cologne, University of Cologne, 50931 Cologne, Germany; Center for Molecular Medicine Cologne (CMMC), University of Cologne, 50931 Cologne, Germany; German Center for Infection Research (DZIF), partner site Bonn-Cologne, Cologne, Germany.
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Rettig TA, Pecaut MJ, Chapes SK. A comparison of unamplified and massively multiplexed PCR amplification for murine antibody repertoire sequencing. FASEB Bioadv 2019; 1:6-17. [PMID: 30740592 PMCID: PMC6366624] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/09/2023] Open
Abstract
Sequencing antibody repertoires has steadily become cheaper and easier. Sequencing methods usually rely on some form of amplification, often a massively multiplexed PCR prior to sequencing. To eliminate potential biases and create a data set that could be used for other studies, our lab compared unamplified sequencing results from the splenic heavy-chain repertoire in the mouse to those processed through two commercial applications. We also compared the use of mRNA vs total RNA, reverse transcriptase, and primer usage for cDNA synthesis and submission. The use of mRNA for cDNA synthesis resulted in higher read counts but reverse transcriptase and primer usage had no statistical effects on read count. Although most of the amplified data sets contained more antibody reads than the unamplified data set, we detected more unique V-gene segments in the unamplified data set. Although unique CDR3 detection was much lower in the unamplified data set, RNASeq detected 98% of the high frequency CDR3s. We have shown that unamplified profiling of the antibody repertoire is possible, detects more V-gene segments, and detects high frequency clones in the repertoire.
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Affiliation(s)
- Trisha A. Rettig
- Division of Biology, Kansas State University, Manhattan, KS, USA
| | - Michael J. Pecaut
- Division of Radiation Research, Loma Linda University, Loma Linda, CA, USA
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Rettig TA, Pecaut MJ, Chapes SK. A comparison of unamplified and massively multiplexed PCR amplification for murine antibody repertoire sequencing. FASEB Bioadv 2019; 1:6-17. [PMID: 32123808 PMCID: PMC6996338 DOI: 10.1096/fba.1017] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2018] [Revised: 08/09/2018] [Accepted: 08/17/2018] [Indexed: 11/26/2022] Open
Abstract
Sequencing antibody repertoires has steadily become cheaper and easier. Sequencing methods usually rely on some form of amplification, often a massively multiplexed PCR prior to sequencing. To eliminate potential biases and create a data set that could be used for other studies, our laboratory compared unamplified sequencing results from the splenic heavy-chain repertoire in the mouse to those processed through two commercial applications. We also compared the use of mRNA vs total RNA, reverse transcriptase, and primer usage for cDNA synthesis and submission. The use of mRNA for cDNA synthesis resulted in higher read counts but reverse transcriptase and primer usage had no statistical effects on read count. Although most of the amplified data sets contained more antibody reads than the unamplified data set, we detected more unique variable (V)-gene segments in the unamplified data set. Although unique CDR3 detection was much lower in the unamplified data set, RNASeq detected 98% of the high-frequency CDR3s. We have shown that unamplified profiling of the antibody repertoire is possible, detects more V-gene segments, and detects high-frequency clones in the repertoire.
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Affiliation(s)
| | - Michael J. Pecaut
- Division of Biomedical Engineering Sciences (BMES)Loma Linda UniversityLoma LindaCalifornia
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