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Tcyganov EN, Sanseviero E, Marvel D, Beer T, Tang HY, Hembach P, Speicher DW, Zhang Q, Donthireddy LR, Mostafa A, Tsyganova S, Pisarev V, Laufer T, Ignatov D, Ferrone S, Meyer C, Maby-El Hajjami H, Speiser DE, Altiok S, Antonia S, Xu X, Xu W, Zheng C, Schuchter LM, Amaravadi RK, Mitchell TC, Karakousis GC, Yuan Z, Montaner LJ, Celis E, Gabrilovich DI. Peroxynitrite in the tumor microenvironment changes the profile of antigens allowing escape from cancer immunotherapy. Cancer Cell 2022; 40:1173-1189.e6. [PMID: 36220073 PMCID: PMC9566605 DOI: 10.1016/j.ccell.2022.09.001] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/05/2021] [Revised: 06/12/2022] [Accepted: 08/31/2022] [Indexed: 12/13/2022]
Abstract
Cancer immunotherapy often depends on recognition of peptide epitopes by cytotoxic T lymphocytes (CTLs). The tumor microenvironment (TME) is enriched for peroxynitrite (PNT), a potent oxidant produced by infiltrating myeloid cells and some tumor cells. We demonstrate that PNT alters the profile of MHC class I bound peptides presented on tumor cells. Only CTLs specific for PNT-resistant peptides have a strong antitumor effect in vivo, whereas CTLs specific for PNT-sensitive peptides are not effective. Therapeutic targeting of PNT in mice reduces resistance of tumor cells to CTLs. Melanoma patients with low PNT activity in their tumors demonstrate a better clinical response to immunotherapy than patients with high PNT activity. Our data suggest that intratumoral PNT activity should be considered for the design of neoantigen-based therapy and also may be an important immunotherapeutic target.
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Affiliation(s)
- Evgenii N Tcyganov
- Immunology, Microenvironment, and Metastasis Program, Wistar Institute, Philadelphia, PA 19104, USA
| | | | - Douglas Marvel
- Immunology, Microenvironment, and Metastasis Program, Wistar Institute, Philadelphia, PA 19104, USA
| | - Thomas Beer
- Molecular and Cellular Oncogenesis Program, Wistar Institute, Philadelphia, PA 19104, USA
| | - Hsin-Yao Tang
- Molecular and Cellular Oncogenesis Program, Wistar Institute, Philadelphia, PA 19104, USA
| | - Peter Hembach
- Molecular and Cellular Oncogenesis Program, Wistar Institute, Philadelphia, PA 19104, USA
| | - David W Speicher
- Molecular and Cellular Oncogenesis Program, Wistar Institute, Philadelphia, PA 19104, USA
| | - Qianfei Zhang
- AstraZeneca, ICC, Early Oncology, Gaithersburg, MD 20878, USA
| | | | - Ali Mostafa
- AstraZeneca, ICC, Early Oncology, Gaithersburg, MD 20878, USA
| | - Sabina Tsyganova
- Department of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Vladimir Pisarev
- Federal Research and Clinical Center of Intensive Care Medicine and Rehabilitology, Moscow 107031, Russia; Central Institute of Epidemiology, 111123 Moscow, Russia
| | - Terri Laufer
- Department of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Dmitriy Ignatov
- Max Planck Unit for the Science of Pathogens, Charitéplatz 1, 10117 Berlin, Germany
| | - Soldano Ferrone
- Department of Surgery, Harvard University, Boston, MA 02114, USA
| | - Christiane Meyer
- Department of Oncology, University of Lausanne, Lausanne, Switzerland
| | | | - Daniel E Speiser
- Department of Oncology, University of Lausanne, Lausanne, Switzerland
| | | | | | - Xiaowei Xu
- Abramson Cancer Center, Department of Pathology and Molecular Medicine, Perelman School of Medicine, University of Pennsylvania, PA 19104, USA
| | - Wei Xu
- Abramson Cancer Center, Department of Pathology and Molecular Medicine, Perelman School of Medicine, University of Pennsylvania, PA 19104, USA
| | - Cathy Zheng
- Abramson Cancer Center, Department of Pathology and Molecular Medicine, Perelman School of Medicine, University of Pennsylvania, PA 19104, USA
| | - Lynn M Schuchter
- Department of Medicine, Perelman School of Medicine, University of Pennsylvania, PA 19104, USA
| | - Ravi K Amaravadi
- Department of Medicine, Perelman School of Medicine, University of Pennsylvania, PA 19104, USA
| | - Tara C Mitchell
- Department of Medicine, Perelman School of Medicine, University of Pennsylvania, PA 19104, USA
| | - Giorgos C Karakousis
- Department of Surgery, Perelman School of Medicine, University of Pennsylvania, PA 19104, USA
| | - Zhe Yuan
- Georgia Cancer Center, Augusta University, Augusta, GA 30912, USA
| | - Luis J Montaner
- Immunology, Microenvironment, and Metastasis Program, Wistar Institute, Philadelphia, PA 19104, USA
| | - Esteban Celis
- Georgia Cancer Center, Augusta University, Augusta, GA 30912, USA
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Abstract
This article describes processing of protein samples using 1D SDS gels prior to protease digestion for proteomics workflows that subsequently utilize reversed-phase nanocapillary ultra-high-pressure liquid chromatography (LC) coupled to tandem mass spectrometry (MS/MS). The resulting LC-MS/MS data are used to identify peptides and thereby infer proteins present in samples ranging from simple mixtures to very complex proteomes. Bottom-up proteome studies usually involve quantitative comparisons across several or many samples. For either situation, 1D SDS gels represent a simple, widely available technique that can be used to either fractionate complex proteomes or rapidly clean up low microgram samples with minimal losses. After gel separation and staining/destaining, appropriate gel slices are excised, and in-gel reduction, alkylation, and protease digestion are performed. Digests are then processed for LC-MS/MS analysis. Protocols are described for either sample fractionation with high-throughput processing of many samples or simple cleanup without fractionation. An optional strategy is to conduct in-solution reduction and alkylation prior to running gels, which is advantageous when a large number of samples will be separated into large numbers of fractions. Optimization of trypsin digestion parameters and comparison to in-solution protease digestion are also described. © 2019 by John Wiley & Sons, Inc.
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Affiliation(s)
- Aaron R Goldman
- Proteomics and Metabolomics Facility, The Wistar Institute, Philadelphia, Pennsylvania
| | - Lynn A Beer
- Center for Systems and Computational Biology and Molecular and Cellular Oncogenesis Program, The Wistar Institute, Philadelphia, Pennsylvania
| | - Hsin-Yao Tang
- Proteomics and Metabolomics Facility, The Wistar Institute, Philadelphia, Pennsylvania
| | - Peter Hembach
- Center for Systems and Computational Biology and Molecular and Cellular Oncogenesis Program, The Wistar Institute, Philadelphia, Pennsylvania
| | - Delaine Zayas-Bazan
- Center for Systems and Computational Biology and Molecular and Cellular Oncogenesis Program, The Wistar Institute, Philadelphia, Pennsylvania.,Biochemistry and Biophysics Graduate Group, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - David W Speicher
- Center for Systems and Computational Biology and Molecular and Cellular Oncogenesis Program, The Wistar Institute, Philadelphia, Pennsylvania
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Rivera-Santiago R, Harper SL, Sriswasdi S, Hembach P, Speicher DW. Full-Length Anion Exchanger 1 Structure and Interactions with Ankyrin-1 Determined by Zero Length Crosslinking of Erythrocyte Membranes. Structure 2016; 25:132-145. [PMID: 27989623 DOI: 10.1016/j.str.2016.11.017] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2016] [Revised: 11/02/2016] [Accepted: 11/18/2016] [Indexed: 11/26/2022]
Abstract
Anion exchanger 1 (AE1) is a critical transporter and the primary structural scaffold for large macromolecular complexes responsible for erythrocyte membrane flexibility and integrity. We used zero-length crosslinking and mass spectrometry to probe AE1 structures and interactions in intact erythrocyte membranes. An experimentally verified full-length model of AE1 dimers was developed by combining crosslink-defined distance constraints with homology modeling. Previously unresolved cytoplasmic loops in the AE1 C-terminal domain are packed at the domain-domain interface on the cytoplasmic face of the membrane where they anchor the N-terminal domain's location and prevent it from occluding the ion channel. Crosslinks between AE1 dimers and ankyrin-1 indicate the likely topology for AE1 tetramers and suggest that ankyrin-1 wraps around AE1 tetramers, which may stabilize this oligomer state. This interaction and interactions of AE1 with other major erythrocyte membrane proteins show that protein-protein contacts are often substantially more extensive than previously reported.
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Affiliation(s)
- Roland Rivera-Santiago
- The Center for Systems and Computational Biology and Molecular and Cellular Oncogenesis Program, The Wistar Institute, 3601 Spruce Street, Philadelphia, PA 19104, USA
| | - Sandra L Harper
- The Center for Systems and Computational Biology and Molecular and Cellular Oncogenesis Program, The Wistar Institute, 3601 Spruce Street, Philadelphia, PA 19104, USA
| | - Sira Sriswasdi
- Department of Biological Sciences, Graduate School of Science, The University of Tokyo, Bunkyo-ku, Tokyo 113-0032, Japan
| | - Peter Hembach
- The Center for Systems and Computational Biology and Molecular and Cellular Oncogenesis Program, The Wistar Institute, 3601 Spruce Street, Philadelphia, PA 19104, USA
| | - David W Speicher
- The Center for Systems and Computational Biology and Molecular and Cellular Oncogenesis Program, The Wistar Institute, 3601 Spruce Street, Philadelphia, PA 19104, USA.
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Zuo X, Hembach P, Echan L, Speicher DW. Enhanced analysis of human breast cancer proteomes using micro-scale solution isoelectrofocusing combined with high resolution 1-D and 2-D gels. J Chromatogr B Analyt Technol Biomed Life Sci 2002; 782:253-65. [PMID: 12458011 DOI: 10.1016/s1570-0232(02)00567-6] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
Current methods for quantitatively comparing proteomes (protein profiling) have inadequate resolution and dynamic range for complex proteomes such as those from mammalian cells or tissues. More extensive profiling of complex proteomes would be obtained if the proteomes could be reproducibly divided into a moderate number of well-separated pools. But the utility of any prefractionation is dependent upon the resolution obtained because extensive cross contamination of many proteins among different pools would make quantitative comparisons impractical. The current study used a recently developed microscale solution isoelectrofocusing (musol-IEF) method to separate human breast cancer cell extracts into seven well-resolved pools. High resolution fractionation could be achieved in a series of small volume tandem chambers separated by thin acrylamide partitions containing covalently bound immobilines that establish discrete pH zones to separate proteins based upon their pIs. In contrast to analytical 2-D gels, this prefractionation method was capable of separating very large proteins (up to about 500 kDa) that could be subsequently profiled and quantitated using large-pore 1-D SDS gels. The pH 4.5-6.5 region was divided into four 0.5 pH unit ranges because this region had the greatest number of proteins. By using very narrow pH range fractions, sample amounts applied to narrow pH range 2-D gels could be increased to detect lower abundance proteins. Although 1.0 pH range 2-D gels were used in these experiments, further protein resolution should be feasible by using 2-D gels with pH ranges that are only slightly wider than the pH ranges of the musol-IEF fractions. By combining musol-IEF prefractionation with subsequent large pore 1-D SDS-PAGE (>100 kDa) and narrow range 2-D gels (<100 kDa), large proteins can be reliably quantitated, many more proteins can be resolved, and lower abundance proteins can be detected.
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Affiliation(s)
- Xun Zuo
- The Wistar Institute, 3601 Spruce Street, Philadelphia, PA 19104, USA
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Zuo X, Echan L, Hembach P, Tang HY, Speicher KD, Santoli D, Speicher DW. Towards global analysis of mammalian proteomes using sample prefractionation prior to narrow pH range two-dimensional gels and using one-dimensional gels for insoluble and large proteins. Electrophoresis 2001; 22:1603-15. [PMID: 11425216 DOI: 10.1002/1522-2683(200105)22:9<1603::aid-elps1603>3.0.co;2-i] [Citation(s) in RCA: 105] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
The number of unique protein species in proteomes from a single mammalian cell type is not well defined but is likely to be at least 10000-20000. Since standard-size two-dimensional gels typically resolve only about 1500 to 3000 spots, they merely analyze a small portion of these proteomes. In addition, all insoluble proteins and typically proteins > 100 kDa are seldom resolved on two-dimensional (2-D) gels. The current study demonstrates the feasibility of an overall strategy for more comprehensive quantitative comparisons of complex proteomes derived from physiological fluids or mammalian cell extracts. A key feature of this approach is to prefractionate samples into a few well-resolved fractions based on the proteins' isoelectric points (pIs) using microscale solution isoelectric focusing. These fractions are then separated on narrow pH range two-dimensional gels approximately +/- 0.1 pH unit wider than the prefractionated pool. When this prefractionation approach is applied to complex mammalian proteomes, it improves resolution and spot recovery at high protein loads compared with use of parallel narrow pH range gels without prefractionation. The minimal cross-contamination between fractions allows quantitative comparisons in contrast to most alternative prefractionation methods. In addition, complementary data can be obtained by parallel analysis of the solubilized fraction on high-resolution large-pore-gradient one-dimensional gels followed by mass spectrometric identification to analyze proteins between 100 and approximately 500 kDa. Similarly, insoluble proteins can be analyzed using large-pore gels for large proteins and 10-12% one-dimensional sodium dodecyl sulfate (SDS) gels for smaller proteins. Together, these strategies should permit more reliable quantitative comparisons of complex mammalian proteomes where detection of at least 10000 protein spots is needed in order to analyze the majority of the unique protein species.
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Affiliation(s)
- X Zuo
- The Wistar Institute, Philadelphia, PA 19104, USA
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Speicher DW, DeSilva TM, Speicher KD, Ursitti JA, Hembach P, Weglarz L. Location of the human red cell spectrin tetramer binding site and detection of a related "closed" hairpin loop dimer using proteolytic footprinting. J Biol Chem 1993; 268:4227-35. [PMID: 8440706] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/30/2023] Open
Abstract
Head-to-head association of two spectrin alpha beta heterodimers to form tetramers involves the formation of two equivalent alpha-beta complexes. The sites on the alpha subunit N-terminal region and beta subunit C-terminal region that form these alpha beta complexes have been identified using protease footprinting and direct binding assays. The existence of a similar previously hypothesized internal head-to-head alpha beta interaction in dimers was also demonstrated. The discrete regions of both subunits that are protected from proteolysis in tetramers and dimers are not due to the laterally associated subunit since head-to-head complexes of a univalent alpha peptide with a univalent beta peptide show similar protection of the same sites. These sites are unshielded immediately after monomers assemble side-to-side to form heterodimers, demonstrating that reconstituted dimers are initially in an "open" conformation. Conversion of open dimers to a closed form through formation of the internal head-to-head alpha beta association, as demonstrated by restoration of protease protection, occurred on a time scale of hours at 0 degrees C. Analysis of peptide binding affinities as well as isolation and sequence analysis of head-to-head alpha beta noncovalent complexes further defined the regions required for association on both subunits. These regions are homologous to the 106-residue repetitive motif that comprises most of both chains. An algorithm designed to improve prediction accuracy of multiple homologous motifs was used to model the conformation of spectrin repetitive motifs as well as the contact regions. In this model, the separate alpha and beta binding sites are incomplete complementary parts of a triple stranded folding unit. Formation of the alpha beta head-to-head complex produces a triple stranded conformational unit that is slightly different from other homologous motifs in the protein. Most hemolytic anemia mutations that are known to disrupt tetramer association are located in the mapped regions, including several mutations that induce a conformational change in the paired subunit.
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Affiliation(s)
- D W Speicher
- Wistar Institute for Anatomy and Biology, Philadelphia, Pennsylvania 19104
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Abstract
Optimal conditions of electroblotting that led to high protein recovery on polyvinylidene difluoride (PVDF) membranes were determined for sodium dodecyl sulfate-polyacrylamide gel electrophoresis (SDS-PAGE). SDS concentrations in the gel and transfer buffer were found to be the most important factors affecting the amount of protein recovered on the PVDF membrane. The largest loss occurred during the first 10-30 min of transfer due to the relatively high initial SDS concentration in the gel. During this initial stage of transfer, most of the protein passed through the primary membrane and was partially retained on secondary and tertiary membranes. The value of presoaking gels prior to transfer to reduce the amount of SDS was evaluated by quantitating free SDS densitometrically and by correlating the reduced SDS concentration with increased electroblotting efficiency from presoaked gels. Transfer time was evaluated and no "overtransfer" was found even after very long transfer times. These results clearly indicate that proteins electroblotted onto PVDF membranes were tightly bound and could not be released by extending the transfer time. The effects of methanol and SDS concentrations on protein adsorption from solution to PVDF were also determined quantitatively. The results of this study strongly suggest that proteins fully saturated with SDS cannot bind efficiently to PVDF membranes. Since SDS is necessary for high protein mobility, the challenge in efficient electroblotting is to maintain an optimal SDS concentration which is high enough to permit effective removal from the gel and low enough to permit effective binding to the PVDF membrane. For 1.5 mm thick gels containing 0.2% SDS, presoaking the gel for 15-20 min in transfer buffer with 10% methanol prior to electroblotting provided the best recovery on the primary membrane.
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