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Mizrahi RA, Lin WY, Gras A, Niedecken AR, Wagner EK, Keating SM, Ikon N, Manickam VA, Asensio MA, Leong J, Medina-Cucurella AV, Benzie E, Carter KP, Chiang Y, Edgar RC, Leong R, Lim YW, Simons JF, Spindler MJ, Stadtmiller K, Wayham N, Büscher D, Terencio JV, Germanio CD, Chamow SM, Olson C, Pino PA, Park JG, Hicks A, Ye C, Garcia-Vilanova A, Martinez-Sobrido L, Torrelles JB, Johnson DS, Adler AS. GMP Manufacturing and IND-Enabling Studies of a Recombinant Hyperimmune Globulin Targeting SARS-CoV-2. Pathogens 2022; 11:806. [PMID: 35890050 PMCID: PMC9320065 DOI: 10.3390/pathogens11070806] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2022] [Revised: 07/13/2022] [Accepted: 07/15/2022] [Indexed: 11/16/2022] Open
Abstract
Conventionally, hyperimmune globulin drugs manufactured from pooled immunoglobulins from vaccinated or convalescent donors have been used in treating infections where no treatment is available. This is especially important where multi-epitope neutralization is required to prevent the development of immune-evading viral mutants that can emerge upon treatment with monoclonal antibodies. Using microfluidics, flow sorting, and a targeted integration cell line, a first-in-class recombinant hyperimmune globulin therapeutic against SARS-CoV-2 (GIGA-2050) was generated. Using processes similar to conventional monoclonal antibody manufacturing, GIGA-2050, comprising 12,500 antibodies, was scaled-up for clinical manufacturing and multiple development/tox lots were assessed for consistency. Antibody sequence diversity, cell growth, productivity, and product quality were assessed across different manufacturing sites and production scales. GIGA-2050 was purified and tested for good laboratory procedures (GLP) toxicology, pharmacokinetics, and in vivo efficacy against natural SARS-CoV-2 infection in mice. The GIGA-2050 master cell bank was highly stable, producing material at consistent yield and product quality up to >70 generations. Good manufacturing practices (GMP) and development batches of GIGA-2050 showed consistent product quality, impurity clearance, potency, and protection in an in vivo efficacy model. Nonhuman primate toxicology and pharmacokinetics studies suggest that GIGA-2050 is safe and has a half-life similar to other recombinant human IgG1 antibodies. These results supported a successful investigational new drug application for GIGA-2050. This study demonstrates that a new class of drugs, recombinant hyperimmune globulins, can be manufactured consistently at the clinical scale and presents a new approach to treating infectious diseases that targets multiple epitopes of a virus.
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Affiliation(s)
- Rena A. Mizrahi
- GigaGen, Inc., South San Francisco, CA 94080, USA; (R.A.M.); (A.G.); (A.R.N.); (E.K.W.); (S.M.K.); (N.I.); (V.A.M.); (M.A.A.); (J.L.); (A.V.M.-C.); (E.B.); (K.P.C.); (Y.C.); (R.C.E.); (R.L.); (Y.W.L.); (J.F.S.); (M.J.S.); (K.S.); (N.W.); (D.S.J.)
| | - Wendy Y. Lin
- Alira Health, Inc., Framingham, MA 01702, USA; (W.Y.L.); (S.M.C.); (C.O.)
| | - Ashley Gras
- GigaGen, Inc., South San Francisco, CA 94080, USA; (R.A.M.); (A.G.); (A.R.N.); (E.K.W.); (S.M.K.); (N.I.); (V.A.M.); (M.A.A.); (J.L.); (A.V.M.-C.); (E.B.); (K.P.C.); (Y.C.); (R.C.E.); (R.L.); (Y.W.L.); (J.F.S.); (M.J.S.); (K.S.); (N.W.); (D.S.J.)
| | - Ariel R. Niedecken
- GigaGen, Inc., South San Francisco, CA 94080, USA; (R.A.M.); (A.G.); (A.R.N.); (E.K.W.); (S.M.K.); (N.I.); (V.A.M.); (M.A.A.); (J.L.); (A.V.M.-C.); (E.B.); (K.P.C.); (Y.C.); (R.C.E.); (R.L.); (Y.W.L.); (J.F.S.); (M.J.S.); (K.S.); (N.W.); (D.S.J.)
| | - Ellen K. Wagner
- GigaGen, Inc., South San Francisco, CA 94080, USA; (R.A.M.); (A.G.); (A.R.N.); (E.K.W.); (S.M.K.); (N.I.); (V.A.M.); (M.A.A.); (J.L.); (A.V.M.-C.); (E.B.); (K.P.C.); (Y.C.); (R.C.E.); (R.L.); (Y.W.L.); (J.F.S.); (M.J.S.); (K.S.); (N.W.); (D.S.J.)
| | - Sheila M. Keating
- GigaGen, Inc., South San Francisco, CA 94080, USA; (R.A.M.); (A.G.); (A.R.N.); (E.K.W.); (S.M.K.); (N.I.); (V.A.M.); (M.A.A.); (J.L.); (A.V.M.-C.); (E.B.); (K.P.C.); (Y.C.); (R.C.E.); (R.L.); (Y.W.L.); (J.F.S.); (M.J.S.); (K.S.); (N.W.); (D.S.J.)
| | - Nikita Ikon
- GigaGen, Inc., South San Francisco, CA 94080, USA; (R.A.M.); (A.G.); (A.R.N.); (E.K.W.); (S.M.K.); (N.I.); (V.A.M.); (M.A.A.); (J.L.); (A.V.M.-C.); (E.B.); (K.P.C.); (Y.C.); (R.C.E.); (R.L.); (Y.W.L.); (J.F.S.); (M.J.S.); (K.S.); (N.W.); (D.S.J.)
| | - Vishal A. Manickam
- GigaGen, Inc., South San Francisco, CA 94080, USA; (R.A.M.); (A.G.); (A.R.N.); (E.K.W.); (S.M.K.); (N.I.); (V.A.M.); (M.A.A.); (J.L.); (A.V.M.-C.); (E.B.); (K.P.C.); (Y.C.); (R.C.E.); (R.L.); (Y.W.L.); (J.F.S.); (M.J.S.); (K.S.); (N.W.); (D.S.J.)
| | - Michael A. Asensio
- GigaGen, Inc., South San Francisco, CA 94080, USA; (R.A.M.); (A.G.); (A.R.N.); (E.K.W.); (S.M.K.); (N.I.); (V.A.M.); (M.A.A.); (J.L.); (A.V.M.-C.); (E.B.); (K.P.C.); (Y.C.); (R.C.E.); (R.L.); (Y.W.L.); (J.F.S.); (M.J.S.); (K.S.); (N.W.); (D.S.J.)
| | - Jackson Leong
- GigaGen, Inc., South San Francisco, CA 94080, USA; (R.A.M.); (A.G.); (A.R.N.); (E.K.W.); (S.M.K.); (N.I.); (V.A.M.); (M.A.A.); (J.L.); (A.V.M.-C.); (E.B.); (K.P.C.); (Y.C.); (R.C.E.); (R.L.); (Y.W.L.); (J.F.S.); (M.J.S.); (K.S.); (N.W.); (D.S.J.)
| | - Angelica V. Medina-Cucurella
- GigaGen, Inc., South San Francisco, CA 94080, USA; (R.A.M.); (A.G.); (A.R.N.); (E.K.W.); (S.M.K.); (N.I.); (V.A.M.); (M.A.A.); (J.L.); (A.V.M.-C.); (E.B.); (K.P.C.); (Y.C.); (R.C.E.); (R.L.); (Y.W.L.); (J.F.S.); (M.J.S.); (K.S.); (N.W.); (D.S.J.)
| | - Emily Benzie
- GigaGen, Inc., South San Francisco, CA 94080, USA; (R.A.M.); (A.G.); (A.R.N.); (E.K.W.); (S.M.K.); (N.I.); (V.A.M.); (M.A.A.); (J.L.); (A.V.M.-C.); (E.B.); (K.P.C.); (Y.C.); (R.C.E.); (R.L.); (Y.W.L.); (J.F.S.); (M.J.S.); (K.S.); (N.W.); (D.S.J.)
| | - Kyle P. Carter
- GigaGen, Inc., South San Francisco, CA 94080, USA; (R.A.M.); (A.G.); (A.R.N.); (E.K.W.); (S.M.K.); (N.I.); (V.A.M.); (M.A.A.); (J.L.); (A.V.M.-C.); (E.B.); (K.P.C.); (Y.C.); (R.C.E.); (R.L.); (Y.W.L.); (J.F.S.); (M.J.S.); (K.S.); (N.W.); (D.S.J.)
| | - Yao Chiang
- GigaGen, Inc., South San Francisco, CA 94080, USA; (R.A.M.); (A.G.); (A.R.N.); (E.K.W.); (S.M.K.); (N.I.); (V.A.M.); (M.A.A.); (J.L.); (A.V.M.-C.); (E.B.); (K.P.C.); (Y.C.); (R.C.E.); (R.L.); (Y.W.L.); (J.F.S.); (M.J.S.); (K.S.); (N.W.); (D.S.J.)
| | - Robert C. Edgar
- GigaGen, Inc., South San Francisco, CA 94080, USA; (R.A.M.); (A.G.); (A.R.N.); (E.K.W.); (S.M.K.); (N.I.); (V.A.M.); (M.A.A.); (J.L.); (A.V.M.-C.); (E.B.); (K.P.C.); (Y.C.); (R.C.E.); (R.L.); (Y.W.L.); (J.F.S.); (M.J.S.); (K.S.); (N.W.); (D.S.J.)
| | - Renee Leong
- GigaGen, Inc., South San Francisco, CA 94080, USA; (R.A.M.); (A.G.); (A.R.N.); (E.K.W.); (S.M.K.); (N.I.); (V.A.M.); (M.A.A.); (J.L.); (A.V.M.-C.); (E.B.); (K.P.C.); (Y.C.); (R.C.E.); (R.L.); (Y.W.L.); (J.F.S.); (M.J.S.); (K.S.); (N.W.); (D.S.J.)
| | - Yoong Wearn Lim
- GigaGen, Inc., South San Francisco, CA 94080, USA; (R.A.M.); (A.G.); (A.R.N.); (E.K.W.); (S.M.K.); (N.I.); (V.A.M.); (M.A.A.); (J.L.); (A.V.M.-C.); (E.B.); (K.P.C.); (Y.C.); (R.C.E.); (R.L.); (Y.W.L.); (J.F.S.); (M.J.S.); (K.S.); (N.W.); (D.S.J.)
| | - Jan Fredrik Simons
- GigaGen, Inc., South San Francisco, CA 94080, USA; (R.A.M.); (A.G.); (A.R.N.); (E.K.W.); (S.M.K.); (N.I.); (V.A.M.); (M.A.A.); (J.L.); (A.V.M.-C.); (E.B.); (K.P.C.); (Y.C.); (R.C.E.); (R.L.); (Y.W.L.); (J.F.S.); (M.J.S.); (K.S.); (N.W.); (D.S.J.)
| | - Matthew J. Spindler
- GigaGen, Inc., South San Francisco, CA 94080, USA; (R.A.M.); (A.G.); (A.R.N.); (E.K.W.); (S.M.K.); (N.I.); (V.A.M.); (M.A.A.); (J.L.); (A.V.M.-C.); (E.B.); (K.P.C.); (Y.C.); (R.C.E.); (R.L.); (Y.W.L.); (J.F.S.); (M.J.S.); (K.S.); (N.W.); (D.S.J.)
| | - Kacy Stadtmiller
- GigaGen, Inc., South San Francisco, CA 94080, USA; (R.A.M.); (A.G.); (A.R.N.); (E.K.W.); (S.M.K.); (N.I.); (V.A.M.); (M.A.A.); (J.L.); (A.V.M.-C.); (E.B.); (K.P.C.); (Y.C.); (R.C.E.); (R.L.); (Y.W.L.); (J.F.S.); (M.J.S.); (K.S.); (N.W.); (D.S.J.)
| | - Nicholas Wayham
- GigaGen, Inc., South San Francisco, CA 94080, USA; (R.A.M.); (A.G.); (A.R.N.); (E.K.W.); (S.M.K.); (N.I.); (V.A.M.); (M.A.A.); (J.L.); (A.V.M.-C.); (E.B.); (K.P.C.); (Y.C.); (R.C.E.); (R.L.); (Y.W.L.); (J.F.S.); (M.J.S.); (K.S.); (N.W.); (D.S.J.)
| | - Dirk Büscher
- Grifols S.A., 08174 Sant Cugat del Vallès, Spain; (D.B.); (J.V.T.)
| | | | | | - Steven M. Chamow
- Alira Health, Inc., Framingham, MA 01702, USA; (W.Y.L.); (S.M.C.); (C.O.)
| | - Charles Olson
- Alira Health, Inc., Framingham, MA 01702, USA; (W.Y.L.); (S.M.C.); (C.O.)
| | - Paula A. Pino
- Population Health Program, Texas Biomedical Research Institute, San Antonio, TX 78227, USA; (P.A.P.); (A.H.); (A.G.-V.); (L.M.-S.); (J.B.T.)
| | - Jun-Gyu Park
- Disease Intervention and Prevention Program, Texas Biomedical Research Institute, San Antonio, TX 78227, USA; (J.-G.P.); (C.Y.)
| | - Amberlee Hicks
- Population Health Program, Texas Biomedical Research Institute, San Antonio, TX 78227, USA; (P.A.P.); (A.H.); (A.G.-V.); (L.M.-S.); (J.B.T.)
| | - Chengjin Ye
- Disease Intervention and Prevention Program, Texas Biomedical Research Institute, San Antonio, TX 78227, USA; (J.-G.P.); (C.Y.)
| | - Andreu Garcia-Vilanova
- Population Health Program, Texas Biomedical Research Institute, San Antonio, TX 78227, USA; (P.A.P.); (A.H.); (A.G.-V.); (L.M.-S.); (J.B.T.)
| | - Luis Martinez-Sobrido
- Population Health Program, Texas Biomedical Research Institute, San Antonio, TX 78227, USA; (P.A.P.); (A.H.); (A.G.-V.); (L.M.-S.); (J.B.T.)
- Disease Intervention and Prevention Program, Texas Biomedical Research Institute, San Antonio, TX 78227, USA; (J.-G.P.); (C.Y.)
| | - Jordi B. Torrelles
- Population Health Program, Texas Biomedical Research Institute, San Antonio, TX 78227, USA; (P.A.P.); (A.H.); (A.G.-V.); (L.M.-S.); (J.B.T.)
- Disease Intervention and Prevention Program, Texas Biomedical Research Institute, San Antonio, TX 78227, USA; (J.-G.P.); (C.Y.)
| | - David S. Johnson
- GigaGen, Inc., South San Francisco, CA 94080, USA; (R.A.M.); (A.G.); (A.R.N.); (E.K.W.); (S.M.K.); (N.I.); (V.A.M.); (M.A.A.); (J.L.); (A.V.M.-C.); (E.B.); (K.P.C.); (Y.C.); (R.C.E.); (R.L.); (Y.W.L.); (J.F.S.); (M.J.S.); (K.S.); (N.W.); (D.S.J.)
| | - Adam S. Adler
- GigaGen, Inc., South San Francisco, CA 94080, USA; (R.A.M.); (A.G.); (A.R.N.); (E.K.W.); (S.M.K.); (N.I.); (V.A.M.); (M.A.A.); (J.L.); (A.V.M.-C.); (E.B.); (K.P.C.); (Y.C.); (R.C.E.); (R.L.); (Y.W.L.); (J.F.S.); (M.J.S.); (K.S.); (N.W.); (D.S.J.)
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Simons JF, Lim YW, Carter KP, Wagner EK, Wayham N, Adler AS, Johnson DS. Affinity maturation of antibodies by combinatorial codon mutagenesis versus error-prone PCR. MAbs 2021; 12:1803646. [PMID: 32744131 PMCID: PMC7531523 DOI: 10.1080/19420862.2020.1803646] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023] Open
Abstract
IN VITRO affinity maturation of therapeutic monoclonal antibodies is commonly applied to achieve desired properties, such as improved binding kinetics and affinity. Currently there are no universally accepted protocols for generation of variegated antibody libraries or selection thereof. Here, we performed affinity maturation using a yeast-based single-chain variable fragment (scFv) expression system to compare two mutagenesis methods: random mutagenesis across the entire V(D)J region by error-prone PCR, and a novel combinatorial mutagenesis process limited to the complementarity-determining regions (CDRs). We applied both methods of mutagenesis to four human antibodies against well-known immuno-oncology target proteins. Detailed sequence analysis showed an even mutational distribution across the entire length of the scFv for the error-prone PCR method and an almost exclusive targeting of the CDRs for the combinatorial method. Though there were distinct mutagenesis profiles for each target antibody and mutagenesis method, we found that both methods improved scFv affinity with similar efficiency. When a subset of the affinity-matured antibodies was expressed as full-length immunoglobulin, the measured affinity constants were mostly comparable to those of the respective scFv, but the full-length antibodies were inferior to their scFv counterparts for one of the targets. Furthermore, we found that improved affinity for the full-length antibody did not always translate into enhanced binding to cell-surface expressed antigen or improved immune checkpoint blocking ability, suggesting that screening with full-length antibody or antigen-binding fragment formats might be advantageous and the subject of a future study.
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Keating SM, Mizrahi RA, Adams MS, Asensio MA, Benzie E, Carter KP, Chiang Y, Edgar RC, Gautam BK, Gras A, Leong J, Leong R, Lim YW, Manickam VA, Medina-Cucurella AV, Niedecken AR, Saini J, Simons JF, Spindler MJ, Stadtmiller K, Tinsley B, Wagner EK, Wayham N, Tracy L, Lundberg CV, Büscher D, Terencio JV, Roalfe L, Pearce E, Richardson H, Goldblatt D, Ramjag AT, Carrington CVF, Simmons G, Muench MO, Chamow SM, Monroe B, Olson C, Oguin TH, Lynch H, Jeanfreau R, Mosher RA, Walch MJ, Bartley CR, Ross CA, Meyer EH, Adler AS, Johnson DS. Generation of recombinant hyperimmune globulins from diverse B-cell repertoires. Nat Biotechnol 2021; 39:989-999. [PMID: 33859400 PMCID: PMC8355030 DOI: 10.1038/s41587-021-00894-8] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2020] [Revised: 03/08/2021] [Accepted: 03/12/2021] [Indexed: 12/14/2022]
Abstract
Plasma-derived polyclonal antibody therapeutics, such as intravenous immunoglobulin, have multiple drawbacks, including low potency, impurities, insufficient supply, and batch-to-batch variation. Here we describe a microfluidics and molecular genomics strategy for capturing diverse mammalian antibody repertoires to create recombinant multivalent hyperimmune globulins. Our method generates thousands-diverse mixtures of recombinant antibodies, enriched for specificity and activity against therapeutic targets. Each hyperimmune globulin product comprised thousands to tens of thousands of antibodies derived from convalescent or vaccinated human donors, or immunized mice. Using this approach, we generated hyperimmune globulins with potent neutralizing activity against Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) in under three months, Fc-engineered hyperimmune globulins specific for Zika virus that lacked antibody-dependent enhancement of disease, and hyperimmune globulins specific for lung pathogens present in patients with primary immune deficiency. To address the limitations of rabbit-derived anti-thymocyte globulin (ATG), we generated a recombinant human version and demonstrated its efficacy in mice against graft-versus-host disease.
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Affiliation(s)
| | | | - Matthew S Adams
- GigaGen Inc., South San Francisco, CA, USA.,Department of Molecular, Cell, and Developmental Biology, University of California, Santa Cruz, Santa Cruz, CA, USA
| | | | | | | | - Yao Chiang
- GigaGen Inc., South San Francisco, CA, USA
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Lucy Roalfe
- Immunobiology Section, Great Ormond Street Institute of Child Health, University College London, London, England
| | - Emma Pearce
- Immunobiology Section, Great Ormond Street Institute of Child Health, University College London, London, England
| | - Hayley Richardson
- Immunobiology Section, Great Ormond Street Institute of Child Health, University College London, London, England
| | - David Goldblatt
- Immunobiology Section, Great Ormond Street Institute of Child Health, University College London, London, England
| | - Anushka T Ramjag
- Department of Preclinical Sciences, Faculty of Medical Sciences, The University of the West Indies, St. Augustine Campus, St. Augustine, Trinidad and Tobago
| | - Christine V F Carrington
- Department of Preclinical Sciences, Faculty of Medical Sciences, The University of the West Indies, St. Augustine Campus, St. Augustine, Trinidad and Tobago
| | | | | | | | | | | | - Thomas H Oguin
- Regional Biocontainment Laboratory, Duke University Medical Center, Durham, NC, USA
| | - Heather Lynch
- Regional Biocontainment Laboratory, Duke University Medical Center, Durham, NC, USA
| | | | - Rachel A Mosher
- Waisman Biomanufacturing, University of Wisconsin, Madison, WI, USA
| | - Matthew J Walch
- Waisman Biomanufacturing, University of Wisconsin, Madison, WI, USA
| | | | - Carl A Ross
- Waisman Biomanufacturing, University of Wisconsin, Madison, WI, USA
| | - Everett H Meyer
- Stanford Diabetes Research Center, Stanford University Medical Center, Stanford, CA, USA.,Stanford Cancer Institute, Stanford University Medical Center, Stanford, CA, USA
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Asensio MA, Lim YW, Wayham N, Stadtmiller K, Edgar RC, Leong J, Leong R, Mizrahi RA, Adams MS, Simons JF, Spindler MJ, Johnson DS, Adler AS. Antibody repertoire analysis of mouse immunization protocols using microfluidics and molecular genomics. MAbs 2019; 11:870-883. [PMID: 30898066 PMCID: PMC6601537 DOI: 10.1080/19420862.2019.1583995] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022] Open
Abstract
Immunization of mice followed by hybridoma or B-cell screening is one of the most common antibody discovery methods used to generate therapeutic monoclonal antibody (mAb) candidates. There are a multitude of different immunization protocols that can generate an immune response in animals. However, an extensive analysis of the antibody repertoires that these alternative immunization protocols can generate has not been performed. In this study, we immunized mice that transgenically express human antibodies with either programmed cell death 1 protein or cytotoxic T-lymphocyte associated protein 4 using four different immunization protocols, and then utilized a single cell microfluidic platform to generate tissue-specific, natively paired immunoglobulin (Ig) repertoires from each method and enriched for target-specific binders using yeast single-chain variable fragment (scFv) display. We deep sequenced the scFv repertoires from both the pre-sort and post-sort libraries. All methods and both targets yielded similar oligoclonality, variable (V) and joining (J) gene usage, and divergence from germline of enriched libraries. However, there were differences between targets and/or immunization protocols for overall clonal counts, complementarity-determining region 3 (CDR3) length, and antibody/CDR3 sequence diversity. Our data suggest that, although different immunization protocols may generate a response to an antigen, performing multiple immunization protocols in parallel can yield greater Ig diversity. We conclude that modern microfluidic methods, followed by an extensive molecular genomic analysis of antibody repertoires, can be used to quickly analyze new immunization protocols or mouse platforms.
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Affiliation(s)
| | | | | | | | | | | | - Renee Leong
- a GigaGen Inc ., South San Francisco , CA , USA
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5
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Medina-Cucurella AV, Mizrahi RA, Asensio MA, Edgar RC, Leong J, Leong R, Lim YW, Nelson A, Niedecken AR, Simons JF, Spindler MJ, Stadtmiller K, Wayham N, Adler AS, Johnson DS. Preferential Identification of Agonistic OX40 Antibodies by Using Cell Lysate to Pan Natively Paired, Humanized Mouse-Derived Yeast Surface Display Libraries. Antibodies (Basel) 2019; 8:antib8010017. [PMID: 31544823 PMCID: PMC6640694 DOI: 10.3390/antib8010017] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2019] [Revised: 02/12/2019] [Accepted: 02/14/2019] [Indexed: 12/18/2022] Open
Abstract
To discover therapeutically relevant antibody candidates, many groups use mouse immunization followed by hybridoma generation or B cell screening. One modern approach is to screen B cells by generating natively paired single chain variable fragment (scFv) display libraries in yeast. Such methods typically rely on soluble antigens for scFv library screening. However, many therapeutically relevant cell-surface targets are difficult to express in a soluble protein format, complicating discovery. In this study, we developed methods to screen humanized mouse-derived yeast scFv libraries using recombinant OX40 protein in cell lysate. We used deep sequencing to compare screening with cell lysate to screening with soluble OX40 protein, in the context of mouse immunizations using either soluble OX40 or OX40-expressing cells and OX40-encoding DNA vector. We found that all tested methods produce a unique diversity of scFv binders. However, when we reformatted forty-one of these scFv as full-length monoclonal antibodies (mAbs), we observed that mAbs identified using soluble antigen immunization with cell lysate sorting always bound cell surface OX40, whereas other methods had significant false positive rates. Antibodies identified using soluble antigen immunization and cell lysate sorting were also significantly more likely to activate OX40 in a cellular assay. Our data suggest that sorting with OX40 protein in cell lysate is more likely than other methods to retain the epitopes required for antibody-mediated OX40 agonism.
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Affiliation(s)
- Angélica V Medina-Cucurella
- Department of Chemical Engineering and Material Science, Michigan State University, East Lansing, MI 48824, USA.
| | - Rena A Mizrahi
- GigaGen Inc., One Tower Place, Suite 750, South San Francisco, CA 94080, USA.
| | - Michael A Asensio
- GigaGen Inc., One Tower Place, Suite 750, South San Francisco, CA 94080, USA.
| | - Robert C Edgar
- GigaGen Inc., One Tower Place, Suite 750, South San Francisco, CA 94080, USA.
| | - Jackson Leong
- GigaGen Inc., One Tower Place, Suite 750, South San Francisco, CA 94080, USA.
| | - Renee Leong
- GigaGen Inc., One Tower Place, Suite 750, South San Francisco, CA 94080, USA.
| | - Yoong Wearn Lim
- GigaGen Inc., One Tower Place, Suite 750, South San Francisco, CA 94080, USA.
| | - Ayla Nelson
- GigaGen Inc., One Tower Place, Suite 750, South San Francisco, CA 94080, USA.
| | - Ariel R Niedecken
- GigaGen Inc., One Tower Place, Suite 750, South San Francisco, CA 94080, USA.
| | - Jan Fredrik Simons
- GigaGen Inc., One Tower Place, Suite 750, South San Francisco, CA 94080, USA.
| | - Matthew J Spindler
- GigaGen Inc., One Tower Place, Suite 750, South San Francisco, CA 94080, USA.
| | - Kacy Stadtmiller
- GigaGen Inc., One Tower Place, Suite 750, South San Francisco, CA 94080, USA.
| | - Nicholas Wayham
- GigaGen Inc., One Tower Place, Suite 750, South San Francisco, CA 94080, USA.
| | - Adam S Adler
- GigaGen Inc., One Tower Place, Suite 750, South San Francisco, CA 94080, USA.
| | - David S Johnson
- GigaGen Inc., One Tower Place, Suite 750, South San Francisco, CA 94080, USA.
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Gross SJ, Stosic M, McDonald‐McGinn DM, Bassett AS, Norvez A, Dhamankar R, Kobara K, Kirkizlar E, Zimmermann B, Wayham N, Babiarz JE, Ryan A, Jinnett KN, Demko Z, Benn P. Clinical experience with single-nucleotide polymorphism-based non-invasive prenatal screening for 22q11.2 deletion syndrome. Ultrasound Obstet Gynecol 2016; 47:177-83. [PMID: 26396068 PMCID: PMC5064640 DOI: 10.1002/uog.15754] [Citation(s) in RCA: 82] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/04/2015] [Revised: 09/09/2015] [Accepted: 09/14/2015] [Indexed: 05/09/2023]
Abstract
OBJECTIVES To evaluate the performance of a single-nucleotide polymorphism (SNP)-based non-invasive prenatal test (NIPT) for the detection of fetal 22q11.2 deletion syndrome in clinical practice, assess clinical follow-up and review patient choices for women with high-risk results. METHODS In this study, 21 948 samples were submitted for screening for 22q11.2 deletion syndrome using a SNP-based NIPT and subsequently evaluated. Follow-up was conducted for all cases with a high-risk result. RESULTS Ninety-five cases were reported as high risk for fetal 22q11.2 deletion. Diagnostic testing results were available for 61 (64.2%) cases, which confirmed 11 (18.0%) true positives and identified 50 (82.0%) false positives, resulting in a positive predictive value (PPV) of 18.0%. Information regarding invasive testing was available for 84 (88.4%) high-risk cases: 57.1% (48/84) had invasive testing and 42.9% (36/84) did not. Ultrasound anomalies were present in 81.8% of true-positive and 18.0% of false-positive cases. Two additional cases were high risk for a maternal 22q11.2 deletion; one was confirmed by diagnostic testing and one had a positive family history. There were three pregnancy terminations related to screening results of 22q11.2 deletion, two of which were confirmed as true positive by invasive testing. CONCLUSIONS Clinical experience with this SNP-based non-invasive screening test for 22q11.2 deletion syndrome indicates that these deletions have a frequency of approximately 1 in 1000 in the referral population with most identifiable through this test. Use of this screening method requires the availability of counseling and other management resources for high-risk pregnancies.
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Affiliation(s)
| | | | - D. M. McDonald‐McGinn
- Division of Human Genetics, The Children's Hospital of PhiladelphiaPerelman School of Medicine at the University of PennsylvaniaPhiladelphiaPAUSA
| | - A. S. Bassett
- Clinical Genetics Research ProgramCentre for Addiction and Mental HealthTorontoOntarioCanada
| | | | | | | | | | | | | | | | | | | | | | - P. Benn
- Division of Human Genetics, Department of Genetics and Genome SciencesUniversity of Connecticut Health CenterFarmingtonCTUSA
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Kirkizlar E, Zimmermann B, Constantin T, Swenerton R, Hoang B, Wayham N, Babiarz JE, Demko Z, Pelham RJ, Kareht S, Simon AL, Jinnett KN, Rabinowitz M, Sigurjonsson S, Hill M. Detection of Clonal and Subclonal Copy-Number Variants in Cell-Free DNA from Patients with Breast Cancer Using a Massively Multiplexed PCR Methodology. Transl Oncol 2015; 8:407-416. [PMID: 26500031 PMCID: PMC4631096 DOI: 10.1016/j.tranon.2015.08.004] [Citation(s) in RCA: 39] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2015] [Revised: 07/31/2015] [Accepted: 08/10/2015] [Indexed: 12/20/2022] Open
Abstract
We demonstrate proof-of-concept for the use of massively multiplexed PCR and next-generation sequencing (mmPCR-NGS) to identify both clonal and subclonal copy-number variants (CNVs) in circulating tumor DNA. This is the first report of a targeted methodology for detection of CNVs in plasma. Using an in vitro model of cell-free DNA, we show that mmPCR-NGS can accurately detect CNVs with average allelic imbalances as low as 0.5%, an improvement over previously reported whole-genome sequencing approaches. Our method revealed differences in the spectrum of CNVs detected in tumor tissue subsections and matching plasma samples from 11 patients with stage II breast cancer. Moreover, we showed that liquid biopsies are able to detect subclonal mutations that may be missed in tumor tissue biopsies. We anticipate that this mmPCR-NGS methodology will have broad applicability for the characterization, diagnosis, and therapeutic monitoring of CNV-enriched cancers, such as breast, ovarian, and lung cancer.
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Affiliation(s)
- Eser Kirkizlar
- Natera Inc., 201 Industrial Road, Suite 410, San Carlos, CA 94070
| | | | - Tudor Constantin
- Natera Inc., 201 Industrial Road, Suite 410, San Carlos, CA 94070
| | - Ryan Swenerton
- Natera Inc., 201 Industrial Road, Suite 410, San Carlos, CA 94070
| | - Bin Hoang
- Natera Inc., 201 Industrial Road, Suite 410, San Carlos, CA 94070
| | - Nicholas Wayham
- Natera Inc., 201 Industrial Road, Suite 410, San Carlos, CA 94070
| | - Joshua E Babiarz
- Natera Inc., 201 Industrial Road, Suite 410, San Carlos, CA 94070
| | - Zachary Demko
- Natera Inc., 201 Industrial Road, Suite 410, San Carlos, CA 94070
| | - Robert J Pelham
- Natera Inc., 201 Industrial Road, Suite 410, San Carlos, CA 94070
| | - Stephanie Kareht
- Natera Inc., 201 Industrial Road, Suite 410, San Carlos, CA 94070
| | | | | | | | | | - Matthew Hill
- Natera Inc., 201 Industrial Road, Suite 410, San Carlos, CA 94070.
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Pelham RJ, Zimmermann BG, Kirkizlar E, Swenerton RK, Hoang B, Sakarya O, Babiarz JE, Wayham N, Constantin T, Sigurjonsson S, Rabinowitz M, Hill M. Abstract P4-02-03: Detection of single nucleotide variations and copy number variations in breast cancer tissue and ctDNA samples using single-nucleotide polymorphism-targeted massively multiplexed PCR. Cancer Res 2015. [DOI: 10.1158/1538-7445.sabcs14-p4-02-03] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Genomic instability, the hallmark of cancer, presents with a variety of mutation types, most commonly single nucleotide variations (SNVs) and copy number variations (CNVs), which traditionally have required different methods for identification. It has proven challenging to simultaneously achieve sufficient breadth to detect CNVs and depth to detect SNVs on samples of limited input amount. The objective of this study was to validate a new methodology for detection of SNVs and CNVs in a single assay. We used a massively multiplex PCR/NGS approach combining an SNV panel covering 585 point mutation hotspots in breast cancer (Cosmic) and a CNV panel targeting 28,000 SNPs designed to detect copy number at chromosomes 1, 2, 13, 18, 21, and X, and focal regions 4p16, 5p15, 7q11, 15q, 17p, 22q11, and 22q13. We applied these panels to breast cancer cell lines and fresh frozen (FF) breast tumor samples; the presence of CNVs in circulating cell-free tumor DNA (ctDNA) in the plasma of breast cancer patients was also investigated.
The CNV assay methodology was validated using genomic DNA isolated from 96 human samples with known karyotype; sensitivity to single region deletions or duplications was 100% (71/71) and specificity was 100% for normal regions in the same samples. Single-molecule sensitivity for the detection of CNVs was established by analyzing isolated single cells. Performance of the mutation assay was demonstrated with the analysis of 5 matched tumor and normal cell lines, with 24 out of 27 SNVs known to be present in these cell lines detected. The 3 undetected SNVs were determined to be a result of assay design failure. Also, multiple somatic CNVs (median: 13) were detected in all 5 tumor cell lines. Analysis of the normal cell lines found no cancer related SNVs or CNVs.
In 32 FF tumor samples, 78.1% (25/32) had SNVs detected; of samples with SNVs, 88% (22/25) had SNVs in TP53 or PIK3CA. Of the same 32 FF breast tumor samples, 96.9% (31/32) showed full or partial CNVs in at least 1 and up to 15 regions; of the 31 samples with detected CNVs, 93.5% had a CNV of either 1q or 17p, two of the three most prevalent breast cancer CNVs (the 16q region was not represented in this panel). Overall, a combination of SNV and CNV testing allowed identification of genetic changes in 100% of the breast tumor samples, a significant improvement in diagnostic yield than using SNV detection alone.
Of the 12 breast cancer patients with matched tumor tissue and plasma samples, 83.3% (10/12) had CNVs detected in tissue. The CNVs present in each primary tumor sample were identified in corresponding plasma ctDNA samples (1 stage IIa, 7 stage IIb, and 2 stage III). The ctDNA fractions in these samples ranged from 0.58 to 4.33%; detection required as few as 86 heterozygous SNPs per CNV.
Analysis of ctDNA for cancer-associated mutations may allow earlier, safer and more accurate profiling and monitoring of breast cancer. Thus, this targeted PCR approach offers the promise of an assay able to detect both cancer-associated SNVs and CNVs in the same sample with good sensitivity and specificity, and improved detection rates compared to assays that only detect SNVs.
Citation Format: Robert J Pelham, Bernhard G Zimmermann, Eser Kirkizlar, Ryan K Swenerton, Bin Hoang, Onur Sakarya, Joshua E Babiarz, Nicholas Wayham, Tudor Constantin, Styrmir Sigurjonsson, Matthew Rabinowitz, Matthew Hill. Detection of single nucleotide variations and copy number variations in breast cancer tissue and ctDNA samples using single-nucleotide polymorphism-targeted massively multiplexed PCR [abstract]. In: Proceedings of the Thirty-Seventh Annual CTRC-AACR San Antonio Breast Cancer Symposium: 2014 Dec 9-13; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2015;75(9 Suppl):Abstract nr P4-02-03.
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Wapner RJ, Babiarz JE, Levy B, Stosic M, Zimmermann B, Sigurjonsson S, Wayham N, Ryan A, Banjevic M, Lacroute P, Hu J, Hall MP, Demko Z, Siddiqui A, Rabinowitz M, Gross SJ, Hill M, Benn P. Expanding the scope of noninvasive prenatal testing: detection of fetal microdeletion syndromes. Am J Obstet Gynecol 2015; 212:332.e1-9. [PMID: 25479548 DOI: 10.1016/j.ajog.2014.11.041] [Citation(s) in RCA: 218] [Impact Index Per Article: 24.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2014] [Revised: 11/05/2014] [Accepted: 11/30/2014] [Indexed: 11/26/2022]
Abstract
OBJECTIVE The purpose of this study was to estimate the performance of a single-nucleotide polymorphism (SNP)-based noninvasive prenatal test for 5 microdeletion syndromes. STUDY DESIGN Four hundred sixty-nine samples (358 plasma samples from pregnant women, 111 artificial plasma mixtures) were amplified with the use of a massively multiplexed polymerase chain reaction, sequenced, and analyzed with the use of the Next-generation Aneuploidy Test Using SNPs algorithm for the presence or absence of deletions of 22q11.2, 1p36, distal 5p, and the Prader-Willi/Angelman region. RESULTS Detection rates were 97.8% for a 22q11.2 deletion (45/46) and 100% for Prader-Willi (15/15), Angelman (21/21), 1p36 deletion (1/1), and cri-du-chat syndromes (24/24). False-positive rates were 0.76% for 22q11.2 deletion syndrome (3/397) and 0.24% for cri-du-chat syndrome (1/419). No false positives occurred for Prader-Willi (0/428), Angelman (0/442), or 1p36 deletion syndromes (0/422). CONCLUSION SNP-based noninvasive prenatal microdeletion screening is highly accurate. Because clinically relevant microdeletions and duplications occur in >1% of pregnancies, regardless of maternal age, noninvasive screening for the general pregnant population should be considered.
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Babiarz JE, Zimmermann BG, Constantin T, Swenerton R, Kirkizlar E, Wayham N, Rabinowitz M, Hill M. Detection of Copy Number Variations in Breast Cancer Samples Using Single-nucleotide Polymorphism-targeted Massively Multiplexed PCR. Cancer Genet 2014. [DOI: 10.1016/j.cancergen.2014.06.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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Aizpurua J, Szlarb N, Moragues I, Ramos B, Rogel S, Li J, Yin XY, Tan K, Tan YQ, Chen F, Zhang LEI, Lin G, Jiang H, Wang W, Wells D, Kaur K, Grifo J, Anderson S, Taylor J, Fragouli E, Munne S, Levy B, Banjevic M, Hill M, Zimmermann B, Ryan A, Sigurjonsson S, Wayham N, Lacroute P, Dodd M, Hoang B, Tong J, Vu P, Hall MP, Demko Z, Rabinowitz M, Spath K, Fragouli E, Konstantinidis M, Poli M, Wells D. Session 16: Innovations in reproductive genetics. Hum Reprod 2013. [DOI: 10.1093/humrep/det143] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
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