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Zhang Z, Hug C, Tao Y, Bitsch F, Yang Y. Solving Complex Biologics Truncation Problems by Top-Down Mass Spectrometry. JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY 2021; 32:1928-1935. [PMID: 33395284 DOI: 10.1021/jasms.0c00343] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
Abstract
With increasing protein therapeutics being designed as non-mAb (non-monoclonal antibody) modalities, additional efforts and resources are required to develop and characterize such therapeutic proteins. Truncation is an emerging issue for manufacturing of non-mAb drug substances and requires sophisticated methods to investigate. In this paper, we describe two cases with complex truncation problems where traditional methods such as intact mass spectrometry led to inclusive or wrong identifications. Therefore, we developed an online top-down LC-MS (liquid chromatography-mass spectrometry) based workflow to study truncated drug substances, and we successfully identified the clipping locations. Compared to other orthogonal methods, this method provides a unique capability of solving protein clipping problems. The successful identification of truncated species and the high compatibility to routine intact MS make it a very valuable tool for resolving truncation problems during protein production in the pharmaceutical industry.
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Affiliation(s)
- Zhe Zhang
- NIBR Biologics Center, Novartis Institutes for BioMedical Research, 100 Technology Square, Cambridge, Massachusetts 02139, United States
| | - Christian Hug
- NIBR Biologics Center, Novartis Institutes for BioMedical Research, Klybeckstrasse 141, CH-4057, Basel, Switzerland
| | - Yuanqi Tao
- NIBR Biologics Center, Novartis Institutes for BioMedical Research, 100 Technology Square, Cambridge, Massachusetts 02139, United States
| | - Francis Bitsch
- NIBR Biologics Center, Novartis Institutes for BioMedical Research, Klybeckstrasse 141, CH-4057, Basel, Switzerland
| | - Yang Yang
- NIBR Biologics Center, Novartis Institutes for BioMedical Research, Klybeckstrasse 141, CH-4057, Basel, Switzerland
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Hurtado Silva M, Berry IJ, Strange N, Djordjevic SP, Padula MP. Terminomics Methodologies and the Completeness of Reductive Dimethylation: A Meta-Analysis of Publicly Available Datasets. Proteomes 2019; 7:proteomes7020011. [PMID: 30934878 PMCID: PMC6631386 DOI: 10.3390/proteomes7020011] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2019] [Revised: 03/22/2019] [Accepted: 03/25/2019] [Indexed: 12/30/2022] Open
Abstract
Methods for analyzing the terminal sequences of proteins have been refined over the previous decade; however, few studies have evaluated the quality of the data that have been produced from those methodologies. While performing global N-terminal labelling on bacteria, we observed that the labelling was not complete and investigated whether this was a common occurrence. We assessed the completeness of labelling in a selection of existing, publicly available N-terminomics datasets and empirically determined that amine-based labelling chemistry does not achieve complete labelling and potentially has issues with labelling amine groups at sequence-specific residues. This finding led us to conduct a thorough review of the historical literature that showed that this is not an unexpected finding, with numerous publications reporting incomplete labelling. These findings have implications for the quantitation of N-terminal peptides and the biological interpretations of these data.
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Affiliation(s)
- Mariella Hurtado Silva
- Proteomics Core Facility and School of Life Sciences, Faculty of Science, University of Technology Sydney, Broadway NSW 2007, Australia.
| | - Iain J Berry
- Proteomics Core Facility and School of Life Sciences, Faculty of Science, University of Technology Sydney, Broadway NSW 2007, Australia.
- The ithree Institute, Faculty of Science, University of Technology Sydney, Broadway NSW 2007, Australia.
| | - Natalie Strange
- Proteomics Core Facility and School of Life Sciences, Faculty of Science, University of Technology Sydney, Broadway NSW 2007, Australia.
| | - Steven P Djordjevic
- The ithree Institute, Faculty of Science, University of Technology Sydney, Broadway NSW 2007, Australia.
| | - Matthew P Padula
- Proteomics Core Facility and School of Life Sciences, Faculty of Science, University of Technology Sydney, Broadway NSW 2007, Australia.
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Havukainen H, Underhaug J, Wolschin F, Amdam G, Halskau Ø. A vitellogenin polyserine cleavage site: highly disordered conformation protected from proteolysis by phosphorylation. ACTA ACUST UNITED AC 2012; 215:1837-46. [PMID: 22573762 DOI: 10.1242/jeb.065623] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
Vitellogenin (Vg) is an egg-yolk precursor protein in most oviparous species. In honeybee (Apis mellifera), the protein (AmVg) also affects social behavior and life-span plasticity. Despite its manifold functions, the AmVg molecule remains poorly understood. The subject of our structure-oriented AmVg study is its polyserine tract - a little-investigated repetitive protein segment mostly found in insects. We previously reported that AmVg is tissue specifically cleaved in the vicinity of this tract. Here, we show that, despite its potential for an open, disordered structure, AmVg is unexpectedly resistant to trypsin/chymotrypsin digestion at the tract. Our findings suggest that multiple phosphorylation plays a role in this resilience. Sequence variation is highly pronounced at the polyserine region in insect Vgs. We demonstrate that sequence differences in this region can lead to structural variation, as NMR and circular dichroism (CD) evidence assign different conformational propensities to polyserine peptides from the honeybee and the jewel wasp Nasonia vitripennis; the former is extended and disordered and the latter more compact and helical. CD analysis of the polyserine region of bumblebee Bombus ignitus and wasp Pimpla nipponica supports a random coil structure in these species. The spectroscopic results strengthen our model of the AmVg polyserine tract as a flexible domain linker shielded by phosphorylation.
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Affiliation(s)
- Heli Havukainen
- Department of Chemistry, Biotechnology and Food Science, Norwegian University of Life Sciences, Aas, Norway.
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Tao L, Kiefer SE, Xie D, Bryson JW, Hefta SA, Doyle ML. Time-resolved limited proteolysis of mitogen-activated protein kinase-activated protein kinase-2 determined by LC/MS only. JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY 2008; 19:841-854. [PMID: 18400511 DOI: 10.1016/j.jasms.2008.02.014] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/10/2008] [Revised: 02/21/2008] [Accepted: 02/21/2008] [Indexed: 05/26/2023]
Abstract
Mass spectrometry has gained prominence in limited proteolysis studies largely due to its unparalleled precision in determining protein molecular mass. However, proteolytic fragments usually cannot be identified through direct mass measurement, since multiple subsequences of a protein can frequently be matched to observed masses of proteolytic fragments. Therefore, additional information from N-terminal sequencing is often needed. Here we demonstrate that mass spectrometry analysis of the time course of limited proteolysis reactions provides new information that is self-sufficient to identify all proteolytic fragments. The method uses a non-specific protease like subtilisin and exploits information contained in the time-resolved dataset such as: increased likelihood of identifying larger fragments generated during initial proteolysis solely by their masses, additivity of the masses of two mutually exclusive sequence regions that generate the full-length molecule (or an already assigned subfragment), and analyses of the proteolytic subfragment patterns that are facilitated by having established the initial cleavage sites. We show that the identities of the observed proteolytic fragments can be determined by LC/MS alone because enough constraints exist in the time-resolved dataset. For a medium-sized protein, it takes about 8 h to complete the study, a significant improvement over the traditional SDS-PAGE and N-terminal sequencing method, which usually takes several days. We illustrate this method with application to the catalytic domain of mitogen-activated protein kinase-activated protein kinase-2, and compare the results with N-terminal sequencing data and the known X-ray crystal structure.
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Affiliation(s)
- Li Tao
- Department of Gene Expression and Protein Biochemistry, Bristol-Myers Squibb Research and Development, Princeton, New Jersey 08534, USA.
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Korkin D, Davis FP, Alber F, Luong T, Shen MY, Lucic V, Kennedy MB, Sali A. Structural modeling of protein interactions by analogy: application to PSD-95. PLoS Comput Biol 2006; 2:e153. [PMID: 17096593 PMCID: PMC1635541 DOI: 10.1371/journal.pcbi.0020153] [Citation(s) in RCA: 33] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2006] [Accepted: 10/04/2006] [Indexed: 11/18/2022] Open
Abstract
We describe comparative patch analysis for modeling the structures of multidomain proteins and protein complexes, and apply it to the PSD-95 protein. Comparative patch analysis is a hybrid of comparative modeling based on a template complex and protein docking, with a greater applicability than comparative modeling and a higher accuracy than docking. It relies on structurally defined interactions of each of the complex components, or their homologs, with any other protein, irrespective of its fold. For each component, its known binding modes with other proteins of any fold are collected and expanded by the known binding modes of its homologs. These modes are then used to restrain conventional molecular docking, resulting in a set of binary domain complexes that are subsequently ranked by geometric complementarity and a statistical potential. The method is evaluated by predicting 20 binary complexes of known structure. It is able to correctly identify the binding mode in 70% of the benchmark complexes compared with 30% for protein docking. We applied comparative patch analysis to model the complex of the third PSD-95, DLG, and ZO-1 (PDZ) domain and the SH3-GK domains in the PSD-95 protein, whose structure is unknown. In the first predicted configuration of the domains, PDZ interacts with SH3, leaving both the GMP-binding site of guanylate kinase (GK) and the C-terminus binding cleft of PDZ accessible, while in the second configuration PDZ interacts with GK, burying both binding sites. We suggest that the two alternate configurations correspond to the different functional forms of PSD-95 and provide a possible structural description for the experimentally observed cooperative folding transitions in PSD-95 and its homologs. More generally, we expect that comparative patch analysis will provide useful spatial restraints for the structural characterization of an increasing number of binary and higher-order protein complexes.
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Affiliation(s)
- Dmitry Korkin
- Department of Biopharmaceutical Sciences, University of California San Francisco, San Francisco, California, United States of America
- Department of Pharmaceutical Chemistry, University of California San Francisco, San Francisco, California, United States of America
- California Institute for Quantitative Biomedical Research, University of California San Francisco, San Francisco, California, United States of America
| | - Fred P Davis
- Department of Biopharmaceutical Sciences, University of California San Francisco, San Francisco, California, United States of America
- Department of Pharmaceutical Chemistry, University of California San Francisco, San Francisco, California, United States of America
- California Institute for Quantitative Biomedical Research, University of California San Francisco, San Francisco, California, United States of America
| | - Frank Alber
- Department of Biopharmaceutical Sciences, University of California San Francisco, San Francisco, California, United States of America
- Department of Pharmaceutical Chemistry, University of California San Francisco, San Francisco, California, United States of America
- California Institute for Quantitative Biomedical Research, University of California San Francisco, San Francisco, California, United States of America
| | - Tinh Luong
- Division of Biology, California Institute of Technology, Pasadena, California, United States of America
| | - Min-Yi Shen
- Department of Biopharmaceutical Sciences, University of California San Francisco, San Francisco, California, United States of America
- Department of Pharmaceutical Chemistry, University of California San Francisco, San Francisco, California, United States of America
- California Institute for Quantitative Biomedical Research, University of California San Francisco, San Francisco, California, United States of America
| | - Vladan Lucic
- Department of Structural Biology, Max Planck Institute of Biochemistry, Martinsried, Germany
| | - Mary B Kennedy
- Division of Biology, California Institute of Technology, Pasadena, California, United States of America
| | - Andrej Sali
- Department of Biopharmaceutical Sciences, University of California San Francisco, San Francisco, California, United States of America
- Department of Pharmaceutical Chemistry, University of California San Francisco, San Francisco, California, United States of America
- California Institute for Quantitative Biomedical Research, University of California San Francisco, San Francisco, California, United States of America
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Walter TS, Meier C, Assenberg R, Au KF, Ren J, Verma A, Nettleship JE, Owens RJ, Stuart DI, Grimes JM. Lysine methylation as a routine rescue strategy for protein crystallization. Structure 2006; 14:1617-22. [PMID: 17098187 PMCID: PMC7126202 DOI: 10.1016/j.str.2006.09.005] [Citation(s) in RCA: 202] [Impact Index Per Article: 10.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2006] [Revised: 08/28/2006] [Accepted: 09/01/2006] [Indexed: 11/24/2022]
Abstract
Crystallization remains a critical step in X-ray structure determination. Because it is not generally possible to rationally predict crystallization conditions, commercial screens have been developed which sample a wide range of crystallization space. While this approach has proved successful in many cases, a significant number of proteins fail to crystallize despite being soluble and monodispersed. It is established that chemical modification can facilitate the crystallization of otherwise intractable proteins. Here we describe a method for the reductive methylation of lysine residues which is simple, inexpensive, and efficient, and report on its application to ten proteins. We describe the effect of methylation on the physico-chemical properties of these proteins, and show that it led to diffraction-quality crystals from four proteins and structures for three that had hitherto proved refractory to crystallization. The method is suited to both low- and high-throughput laboratories.
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Affiliation(s)
- Thomas S Walter
- Oxford Protein Production Facility, The Henry Wellcome Building for Genomic Medicine, Oxford University, Roosevelt Drive, Oxford OX3 7BN, United Kingdom
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