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Larouche JD, Laumont CM, Trofimov A, Vincent K, Hesnard L, Brochu S, Côté C, Humeau JF, Bonneil É, Lanoix J, Durette C, Gendron P, Laverdure JP, Richie ER, Lemieux S, Thibault P, Perreault C. Transposable elements regulate thymus development and function. eLife 2024; 12:RP91037. [PMID: 38635416 PMCID: PMC11026094 DOI: 10.7554/elife.91037] [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] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/20/2024] Open
Abstract
Transposable elements (TEs) are repetitive sequences representing ~45% of the human and mouse genomes and are highly expressed by medullary thymic epithelial cells (mTECs). In this study, we investigated the role of TEs on T-cell development in the thymus. We performed multiomic analyses of TEs in human and mouse thymic cells to elucidate their role in T-cell development. We report that TE expression in the human thymus is high and shows extensive age- and cell lineage-related variations. TE expression correlates with multiple transcription factors in all cell types of the human thymus. Two cell types express particularly broad TE repertoires: mTECs and plasmacytoid dendritic cells (pDCs). In mTECs, transcriptomic data suggest that TEs interact with transcription factors essential for mTEC development and function (e.g., PAX1 and REL), and immunopeptidomic data showed that TEs generate MHC-I-associated peptides implicated in thymocyte education. Notably, AIRE, FEZF2, and CHD4 regulate small yet non-redundant sets of TEs in murine mTECs. Human thymic pDCs homogenously express large numbers of TEs that likely form dsRNA, which can activate innate immune receptors, potentially explaining why thymic pDCs constitutively secrete IFN ɑ/β. This study highlights the diversity of interactions between TEs and the adaptive immune system. TEs are genetic parasites, and the two thymic cell types most affected by TEs (mTEcs and pDCs) are essential to establishing central T-cell tolerance. Therefore, we propose that orchestrating TE expression in thymic cells is critical to prevent autoimmunity in vertebrates.
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Affiliation(s)
- Jean-David Larouche
- Institute for Research in Immunology and Cancer, Université de MontréalMontrealCanada
- Department of Medicine, Université de MontréalMontréalCanada
| | - Céline M Laumont
- Deeley Research Centre, BC CancerVictoriaCanada
- Department of Medical Genetics, University of British ColumbiaVancouverCanada
| | - Assya Trofimov
- Institute for Research in Immunology and Cancer, Université de MontréalMontrealCanada
- Department of Computer Science and Operations Research, Université de MontréalMontréalCanada
- Fred Hutchinson Cancer CenterSeattleUnited States
- Department of Physics, University of WashingtonSeattleUnited States
| | - Krystel Vincent
- Institute for Research in Immunology and Cancer, Université de MontréalMontrealCanada
| | - Leslie Hesnard
- Institute for Research in Immunology and Cancer, Université de MontréalMontrealCanada
| | - Sylvie Brochu
- Institute for Research in Immunology and Cancer, Université de MontréalMontrealCanada
| | - Caroline Côté
- Institute for Research in Immunology and Cancer, Université de MontréalMontrealCanada
| | - Juliette F Humeau
- Institute for Research in Immunology and Cancer, Université de MontréalMontrealCanada
| | - Éric Bonneil
- Institute for Research in Immunology and Cancer, Université de MontréalMontrealCanada
| | - Joel Lanoix
- Institute for Research in Immunology and Cancer, Université de MontréalMontrealCanada
| | - Chantal Durette
- Institute for Research in Immunology and Cancer, Université de MontréalMontrealCanada
| | - Patrick Gendron
- Institute for Research in Immunology and Cancer, Université de MontréalMontrealCanada
| | | | - Ellen R Richie
- Department of Epigenetics and Molecular Carcinogenesis, University of Texas M.D. Anderson Cancer CenterHoustonUnited States
| | - Sébastien Lemieux
- Institute for Research in Immunology and Cancer, Université de MontréalMontrealCanada
- Department of Biochemistry and Molecular Medicine, Université de MontréalMontrealCanada
| | - Pierre Thibault
- Institute for Research in Immunology and Cancer, Université de MontréalMontrealCanada
- Department of Chemistry, Université de MontréalMontréalCanada
| | - Claude Perreault
- Institute for Research in Immunology and Cancer, Université de MontréalMontrealCanada
- Department of Medicine, Université de MontréalMontréalCanada
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Trofimov A, Agarkova D, Trofimova K, Lidji-Goryaev C, Atochin D, Bragin D. On Net Water Uptake in Posttraumatic Ischemia Foci. Adv Exp Med Biol 2023; 1425:629-634. [PMID: 37581836 DOI: 10.1007/978-3-031-31986-0_61] [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] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/16/2023]
Abstract
BACKGROUND The influence of cerebral edema and resultant secondary complications on the clinical outcome of traumatic brain injury (TBI) is well known. Clinical studies of brain water homeostasis dynamics in TBI are limited, which determines the relevance of our work. The purpose is to study changes in brain water homeostasis after TBI of varying severity compared to corresponding cerebral microcirculation parameters. MATERIALS This non-randomized retrospective single-center study complies with the Helsinki Declaration for patient's studies. The study included 128 patients with posttraumatic ischemia (PCI) after moderate-to-severe TBI in the middle cerebral artery territory who were admitted to the hospital between July 2015 and February 2022. PCI was evaluated by perfusion computed tomography (CT), and brain edema was determined using net water uptake (NWU) on baseline CT images. The patients were allocated according to Marshall's classification. Multivariate linear regression models were performed to analyze data. RESULTS NWU in PCI areas were significantly higher than in patients with its absence (8.1% vs. 4.2%, accordingly; p < 0.001). In the multivariable regression analysis, the mean transit time increase was significantly and independently associated with higher NWU (R2 = 0.089, p < 0.01). In the PCI zone, cerebral blood flow, cerebral blood volume, and time to peak were not significantly associated with NWU values (p > 0.05). No significant differences were observed between the NWU values in PCI foci in different Marshall groups (p = 0.308). CONCLUSION Marshall's classification does not predict the progression of posttraumatic ischemia. The blood passage delays through the cerebral microvascular bed is associated with brain tissue water content increase in the PCI focus.
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Affiliation(s)
- A Trofimov
- Department of Neurological Diseases, Privolzhsky Research Medical University, Nizhny Novgorod, Russia
| | - D Agarkova
- Department of Neurological Diseases, Privolzhsky Research Medical University, Nizhny Novgorod, Russia
| | - K Trofimova
- Department of Neurological Diseases, Privolzhsky Research Medical University, Nizhny Novgorod, Russia
| | - C Lidji-Goryaev
- Department of Neurological Diseases, Privolzhsky Research Medical University, Nizhny Novgorod, Russia
| | - D Atochin
- Cardiovascular Research Center, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA
| | - D Bragin
- Lovelace Biomedical Research Institute, Albuquerque, NM, USA
- Department of Neurology, University of New Mexico, School of Medicine, Albuquerque, NM, USA
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Trofimov A, Brouillard P, Larouche JD, Séguin J, Laverdure JP, Brasey A, Ehx G, Roy DC, Busque L, Lachance S, Lemieux S, Perreault C. Two types of human TCR differentially regulate reactivity to self and non-self antigens. iScience 2022; 25:104968. [PMID: 36111255 PMCID: PMC9468382 DOI: 10.1016/j.isci.2022.104968] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [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: 04/27/2022] [Revised: 06/24/2022] [Accepted: 08/12/2022] [Indexed: 11/30/2022] Open
Abstract
Based on analyses of TCR sequences from over 1,000 individuals, we report that the TCR repertoire is composed of two ontogenically and functionally distinct types of TCRs. Their production is regulated by variations in thymic output and terminal deoxynucleotidyl transferase (TDT) activity. Neonatal TCRs derived from TDT-negative progenitors persist throughout life, are highly shared among subjects, and are reported as disease-associated. Thus, 10%–30% of most frequent cord blood TCRs are associated with common pathogens and autoantigens. TDT-dependent TCRs present distinct structural features and are less shared among subjects. TDT-dependent TCRs are produced in maximal numbers during infancy when thymic output and TDT activity reach a summit, are more abundant in subjects with AIRE mutations, and seem to play a dominant role in graft-versus-host disease. Factors decreasing thymic output (age, male sex) negatively impact TCR diversity. Males compensate for their lower repertoire diversity via hyperexpansion of selected TCR clonotypes. Over 108 TCR CDR3 sequences from ∼103 individuals and 7 cohorts were analyzed The TCR repertoire is composed of two layers: neonatal and TDT-dependent layer ∼70% of frequent cord blood TCRs are associated with common pathogens Acute graft-vs-host disease correlates with a high proportion of TDT-dependent TCRs
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Affiliation(s)
- Assya Trofimov
- Institute for Research in Immunology and Cancer (IRIC), Université de Montréal, Montreal, Quebec H3C 3J7, Canada
- Department of Computer Science and Research Operations, Université de Montréal, Montreal, Quebec H3C 3J7, Canada
- Quebec Institute for Learning Algorithms (Mila), Montreal, Quebec H2S 3H1, Canada
- Currently Fred Hutchinson Cancer Center, Seattle, WA 98109, USA
- Currently Department of Physics, University of Washington, Seattle, WA 98195-1560, USA
| | - Philippe Brouillard
- Department of Computer Science and Research Operations, Université de Montréal, Montreal, Quebec H3C 3J7, Canada
- Quebec Institute for Learning Algorithms (Mila), Montreal, Quebec H2S 3H1, Canada
| | - Jean-David Larouche
- Institute for Research in Immunology and Cancer (IRIC), Université de Montréal, Montreal, Quebec H3C 3J7, Canada
- Department of Medicine, Université de Montréal, Montreal, Quebec H3C 3J7, Canada
| | - Jonathan Séguin
- Institute for Research in Immunology and Cancer (IRIC), Université de Montréal, Montreal, Quebec H3C 3J7, Canada
| | - Jean-Philippe Laverdure
- Institute for Research in Immunology and Cancer (IRIC), Université de Montréal, Montreal, Quebec H3C 3J7, Canada
| | - Ann Brasey
- Maisonneuve-Rosemont Hospital, Montreal, Quebec H1T 2M4, Canada
| | - Gregory Ehx
- Institute for Research in Immunology and Cancer (IRIC), Université de Montréal, Montreal, Quebec H3C 3J7, Canada
- Currently Interdisciplinary Cluster for Applied Geno-Proteomics (GIGA-I3), University of Liege, Liege 4000, Belgium
| | | | - Lambert Busque
- Maisonneuve-Rosemont Hospital, Montreal, Quebec H1T 2M4, Canada
| | - Silvy Lachance
- Department of Medicine, Université de Montréal, Montreal, Quebec H3C 3J7, Canada
- Maisonneuve-Rosemont Hospital, Montreal, Quebec H1T 2M4, Canada
| | - Sébastien Lemieux
- Institute for Research in Immunology and Cancer (IRIC), Université de Montréal, Montreal, Quebec H3C 3J7, Canada
- Department of Computer Science and Research Operations, Université de Montréal, Montreal, Quebec H3C 3J7, Canada
- Department of Biochemistry at University of Montreal, Université de Montréal, Montreal, Quebec H3C 3J7, Canada
- Corresponding author
| | - Claude Perreault
- Institute for Research in Immunology and Cancer (IRIC), Université de Montréal, Montreal, Quebec H3C 3J7, Canada
- Department of Medicine, Université de Montréal, Montreal, Quebec H3C 3J7, Canada
- Maisonneuve-Rosemont Hospital, Montreal, Quebec H1T 2M4, Canada
- Corresponding author
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Dumont-Lagacé M, Li Q, Tanguay M, Chagraoui J, Kientega T, Cardin GB, Brasey A, Trofimov A, Carli C, Ahmad I, Bambace NM, Bernard L, Kiss TL, Roy J, Roy DC, Lemieux S, Perreault C, Rodier F, Dufresne SF, Busque L, Lachance S, Sauvageau G, Cohen S, Delisle JS. UM171-Expanded Cord Blood Transplants Support Robust T Cell Reconstitution with Low Rates of Severe Infections. Transplant Cell Ther 2020; 27:76.e1-76.e9. [PMID: 33022376 DOI: 10.1016/j.bbmt.2020.09.031] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [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: 08/25/2020] [Revised: 09/24/2020] [Accepted: 09/28/2020] [Indexed: 10/23/2022]
Abstract
Rapid T cell reconstitution following hematopoietic stem cell transplantation (HSCT) is essential for protection against infections and has been associated with lower incidence of chronic graft-versus-host disease (cGVHD), relapse, and transplant-related mortality (TRM). While cord blood (CB) transplants are associated with lower rates of cGVHD and relapse, their low stem cell content results in slower immune reconstitution and higher risk of graft failure, severe infections, and TRM. Recently, results of a phase I/II trial revealed that single UM171-expanded CB transplant allowed the use of smaller CB units without compromising engraftment (www.clinicaltrials.gov, NCT02668315). We assessed T cell reconstitution in patients who underwent transplantation with UM171-expanded CB grafts and retrospectively compared it to that of patients receiving unmanipulated CB transplants. While median T cell dose infused was at least 2 to 3 times lower than that of unmanipulated CB, numbers and phenotype of T cells at 3, 6, and 12 months post-transplant were similar between the 2 cohorts. T cell receptor sequencing analyses revealed that UM171 patients had greater T cell diversity and higher numbers of clonotypes at 12 months post-transplant. This was associated with higher counts of naive T cells and recent thymic emigrants, suggesting active thymopoiesis and correlating with the demonstration that UM171 expands common lymphoid progenitors in vitro. UM171 patients also showed rapid virus-specific T cell reactivity and significantly reduced incidence of severe infections. These results suggest that UM171 patients benefit from rapid T cell reconstitution, which likely contributes to the absence of moderate/severe cGVHD, infection-related mortality, and late TRM observed in this cohort.
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Affiliation(s)
- Maude Dumont-Lagacé
- ExCellThera, Inc., Montreal, Quebec, Canada; Institute for Research in Immunology and Cancer (IRIC), Université de Montréal, Montreal, Quebec, Canada
| | - Qi Li
- Centre de recherche de l'Hôpital Maisonneuve-Rosemont, Montreal, Quebec, Canada
| | - Mégane Tanguay
- Institute for Research in Immunology and Cancer (IRIC), Université de Montréal, Montreal, Quebec, Canada
| | - Jalila Chagraoui
- Institute for Research in Immunology and Cancer (IRIC), Université de Montréal, Montreal, Quebec, Canada
| | - Tibila Kientega
- Centre de recherche du Centre hospitalier de l'Université de Montréal (CRCHUM) and Institut du cancer de Montréal, Montreal, Quebec, Canada
| | - Guillaume B Cardin
- Centre de recherche du Centre hospitalier de l'Université de Montréal (CRCHUM) and Institut du cancer de Montréal, Montreal, Quebec, Canada
| | - Ann Brasey
- Centre de recherche de l'Hôpital Maisonneuve-Rosemont, Montreal, Quebec, Canada
| | - Assya Trofimov
- Institute for Research in Immunology and Cancer (IRIC), Université de Montréal, Montreal, Quebec, Canada; Department of Computer Science and Operations Research, Université de Montréal, Montreal, Quebec, Canada
| | - Cédric Carli
- Centre de recherche de l'Hôpital Maisonneuve-Rosemont, Montreal, Quebec, Canada
| | - Imran Ahmad
- Department of Medicine, Université de Montréal, Montreal, Quebec, Canada; Division of Hematology-Oncology, Hôpital Maisonneuve-Rosemont, Montreal, Quebec, Canada
| | - Nadia M Bambace
- Department of Medicine, Université de Montréal, Montreal, Quebec, Canada; Division of Hematology-Oncology, Hôpital Maisonneuve-Rosemont, Montreal, Quebec, Canada
| | - Léa Bernard
- Department of Medicine, Université de Montréal, Montreal, Quebec, Canada; Division of Hematology-Oncology, Hôpital Maisonneuve-Rosemont, Montreal, Quebec, Canada
| | - Thomas L Kiss
- Department of Medicine, Université de Montréal, Montreal, Quebec, Canada; Division of Hematology-Oncology, Hôpital Maisonneuve-Rosemont, Montreal, Quebec, Canada
| | - Jean Roy
- Department of Medicine, Université de Montréal, Montreal, Quebec, Canada; Division of Hematology-Oncology, Hôpital Maisonneuve-Rosemont, Montreal, Quebec, Canada
| | - Denis-Claude Roy
- Centre de recherche de l'Hôpital Maisonneuve-Rosemont, Montreal, Quebec, Canada; Department of Medicine, Université de Montréal, Montreal, Quebec, Canada; Division of Hematology-Oncology, Hôpital Maisonneuve-Rosemont, Montreal, Quebec, Canada
| | - Sébastien Lemieux
- Institute for Research in Immunology and Cancer (IRIC), Université de Montréal, Montreal, Quebec, Canada; Department of Computer Science and Operations Research, Université de Montréal, Montreal, Quebec, Canada.; Department of Biochemistry and Molecular Medicine, Université de Montréal, Montreal, Quebec, Canada
| | - Claude Perreault
- Institute for Research in Immunology and Cancer (IRIC), Université de Montréal, Montreal, Quebec, Canada; Department of Medicine, Université de Montréal, Montreal, Quebec, Canada
| | - Francis Rodier
- Centre de recherche du Centre hospitalier de l'Université de Montréal (CRCHUM) and Institut du cancer de Montréal, Montreal, Quebec, Canada; Department of Radiology, Radio-Oncology and Nuclear Medicine, Université de Montréal, Montreal, Quebec, Canada
| | - Simon Frédéric Dufresne
- Department of Microbiology, Infectious Diseases and Immunology, Université de Montréal, Montreal, Quebec, Canada; Division of Infectious Diseases and Clinical Microbiology, Hôpital Maisonneuve-Rosemont, Montreal, Quebec, Canada
| | - Lambert Busque
- Centre de recherche de l'Hôpital Maisonneuve-Rosemont, Montreal, Quebec, Canada; Department of Medicine, Université de Montréal, Montreal, Quebec, Canada; Division of Hematology-Oncology, Hôpital Maisonneuve-Rosemont, Montreal, Quebec, Canada
| | - Silvy Lachance
- Department of Medicine, Université de Montréal, Montreal, Quebec, Canada; Division of Hematology-Oncology, Hôpital Maisonneuve-Rosemont, Montreal, Quebec, Canada
| | - Guy Sauvageau
- ExCellThera, Inc., Montreal, Quebec, Canada; Institute for Research in Immunology and Cancer (IRIC), Université de Montréal, Montreal, Quebec, Canada; Department of Medicine, Université de Montréal, Montreal, Quebec, Canada; Division of Hematology-Oncology, Hôpital Maisonneuve-Rosemont, Montreal, Quebec, Canada
| | - Sandra Cohen
- Department of Medicine, Université de Montréal, Montreal, Quebec, Canada; Division of Hematology-Oncology, Hôpital Maisonneuve-Rosemont, Montreal, Quebec, Canada
| | - Jean-Sébastien Delisle
- Centre de recherche de l'Hôpital Maisonneuve-Rosemont, Montreal, Quebec, Canada; Department of Medicine, Université de Montréal, Montreal, Quebec, Canada; Division of Hematology-Oncology, Hôpital Maisonneuve-Rosemont, Montreal, Quebec, Canada.
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Dumont-Lagacé M, Li Q, Tanguay M, Chagraoui J, Kientega T, Cardin GB, Brasey A, Trofimov A, Carli C, Ahmad I, Bambace N, Bernard L, Kiss TL, Roy J, Roy DC, Lemieux S, Perreault C, Rodier F, Dufresne SF, Busque L, Lachance S, Sauvageau G, Cohen S, Delisle JS. Single UM171-Expanded Cord Blood Transplants Support Robust T-Cell Reconstitution with Low Rates of Severe Infections. Stem Cells Transl Med 2020. [DOI: 10.1002/sctm.12813] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022] Open
Affiliation(s)
| | - Qi Li
- b Centre de Recherche de l'Hôpital Maisonneuve-Rosemont
| | | | | | - Tibila Kientega
- c Université de Montréal
- e Centre de Recherche du Centre Hospitalier de l'Université de Montréal (CRCHUM) and Institut du Cancer de Montréal
| | - Guillaume B. Cardin
- c Université de Montréal
- e Centre de Recherche du Centre Hospitalier de l'Université de Montréal (CRCHUM) and Institut du Cancer de Montréal
| | - Ann Brasey
- b Centre de Recherche de l'Hôpital Maisonneuve-Rosemont
| | | | - Cédric Carli
- b Centre de Recherche de l'Hôpital Maisonneuve-Rosemont
| | - Imran Ahmad
- c Université de Montréal
- f Hôpital Maisonneuve-Rosemont, Montréal, Quebec, Canada
| | - Nadia Bambace
- c Université de Montréal
- f Hôpital Maisonneuve-Rosemont, Montréal, Quebec, Canada
| | - Léa Bernard
- c Université de Montréal
- f Hôpital Maisonneuve-Rosemont, Montréal, Quebec, Canada
| | - Thomas L. Kiss
- c Université de Montréal
- f Hôpital Maisonneuve-Rosemont, Montréal, Quebec, Canada
| | - Jean Roy
- c Université de Montréal
- f Hôpital Maisonneuve-Rosemont, Montréal, Quebec, Canada
| | - Denis-Claude Roy
- b Centre de Recherche de l'Hôpital Maisonneuve-Rosemont
- c Université de Montréal
- f Hôpital Maisonneuve-Rosemont, Montréal, Quebec, Canada
| | | | | | - Francis Rodier
- c Université de Montréal
- e Centre de Recherche du Centre Hospitalier de l'Université de Montréal (CRCHUM) and Institut du Cancer de Montréal
| | | | - Lambert Busque
- b Centre de Recherche de l'Hôpital Maisonneuve-Rosemont
- c Université de Montréal
- f Hôpital Maisonneuve-Rosemont, Montréal, Quebec, Canada
| | - Silvy Lachance
- c Université de Montréal
- f Hôpital Maisonneuve-Rosemont, Montréal, Quebec, Canada
| | - Guy Sauvageau
- a ExCellThera Inc
- c Université de Montréal
- f Hôpital Maisonneuve-Rosemont, Montréal, Quebec, Canada
| | - Sandra Cohen
- c Université de Montréal
- f Hôpital Maisonneuve-Rosemont, Montréal, Quebec, Canada
| | - Jean-Sébastien Delisle
- b Centre de Recherche de l'Hôpital Maisonneuve-Rosemont
- c Université de Montréal
- f Hôpital Maisonneuve-Rosemont, Montréal, Quebec, Canada
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Trofimov A, Cohen JP, Bengio Y, Perreault C, Lemieux S. Factorized embeddings learns rich and biologically meaningful embedding spaces using factorized tensor decomposition. Bioinformatics 2020; 36:i417-i426. [PMID: 32657403 PMCID: PMC7355243 DOI: 10.1093/bioinformatics/btaa488] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
Abstract
MOTIVATION The recent development of sequencing technologies revolutionized our understanding of the inner workings of the cell as well as the way disease is treated. A single RNA sequencing (RNA-Seq) experiment, however, measures tens of thousands of parameters simultaneously. While the results are information rich, data analysis provides a challenge. Dimensionality reduction methods help with this task by extracting patterns from the data by compressing it into compact vector representations. RESULTS We present the factorized embeddings (FE) model, a self-supervised deep learning algorithm that learns simultaneously, by tensor factorization, gene and sample representation spaces. We ran the model on RNA-Seq data from two large-scale cohorts and observed that the sample representation captures information on single gene and global gene expression patterns. Moreover, we found that the gene representation space was organized such that tissue-specific genes, highly correlated genes as well as genes participating in the same GO terms were grouped. Finally, we compared the vector representation of samples learned by the FE model to other similar models on 49 regression tasks. We report that the representations trained with FE rank first or second in all of the tasks, surpassing, sometimes by a considerable margin, other representations. AVAILABILITY AND IMPLEMENTATION A toy example in the form of a Jupyter Notebook as well as the code and trained embeddings for this project can be found at: https://github.com/TrofimovAssya/FactorizedEmbeddings. SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.
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Affiliation(s)
- Assya Trofimov
- Department of Computer Science, Univerity of Montreal, Québec, Canada
- Institute for Research in Immunology and Cancer, Univerity of Montreal, Québec, Canada
- Mila, Univerity of Montreal, Québec, Canada
| | - Joseph Paul Cohen
- Department of Computer Science, Univerity of Montreal, Québec, Canada
- Mila, Univerity of Montreal, Québec, Canada
| | - Yoshua Bengio
- Department of Computer Science, Univerity of Montreal, Québec, Canada
- Mila, Univerity of Montreal, Québec, Canada
| | - Claude Perreault
- Institute for Research in Immunology and Cancer, Univerity of Montreal, Québec, Canada
- Department of Medicine, Univerity of Montreal, Québec, Canada
| | - Sébastien Lemieux
- Department of Computer Science, Univerity of Montreal, Québec, Canada
- Institute for Research in Immunology and Cancer, Univerity of Montreal, Québec, Canada
- Department of Biochemistry and Molecular Medicine, Univerity of Montreal, Québec, Canada
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7
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Larouche JD, Trofimov A, Hesnard L, Ehx G, Zhao Q, Vincent K, Durette C, Gendron P, Laverdure JP, Bonneil É, Côté C, Lemieux S, Thibault P, Perreault C. Widespread and tissue-specific expression of endogenous retroelements in human somatic tissues. Genome Med 2020; 12:40. [PMID: 32345368 PMCID: PMC7189544 DOI: 10.1186/s13073-020-00740-7] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2019] [Accepted: 04/13/2020] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND Endogenous retroelements (EREs) constitute about 42% of the human genome and have been implicated in common human diseases such as autoimmunity and cancer. The dominant paradigm holds that EREs are expressed in embryonic stem cells (ESCs) and germline cells but are repressed in differentiated somatic cells. Despite evidence that some EREs can be expressed at the RNA and protein levels in specific contexts, a system-level evaluation of their expression in human tissues is lacking. METHODS Using RNA sequencing data, we analyzed ERE expression in 32 human tissues and cell types, including medullary thymic epithelial cells (mTECs). A tissue specificity index was computed to identify tissue-restricted ERE families. We also analyzed the transcriptome of mTECs in wild-type and autoimmune regulator (AIRE)-deficient mice. Finally, we developed a proteogenomic workflow combining RNA sequencing and mass spectrometry (MS) in order to evaluate whether EREs might be translated and generate MHC I-associated peptides (MAP) in B-lymphoblastoid cell lines (B-LCL) from 16 individuals. RESULTS We report that all human tissues express EREs, but the breadth and magnitude of ERE expression are very heterogeneous from one tissue to another. ERE expression was particularly high in two MHC I-deficient tissues (ESCs and testis) and one MHC I-expressing tissue, mTECs. In mutant mice, we report that the exceptional expression of EREs in mTECs was AIRE-independent. MS analyses identified 103 non-redundant ERE-derived MAPs (ereMAPs) in B-LCLs. These ereMAPs preferentially derived from sense translation of intronic EREs. Notably, detailed analyses of their amino acid composition revealed that ERE-derived MAPs presented homology to viral MAPs. CONCLUSIONS This study shows that ERE expression in somatic tissues is more pervasive and heterogeneous than anticipated. The high and diversified expression of EREs in mTECs and their ability to generate MAPs suggest that EREs may play an important role in the establishment of self-tolerance. The viral-like properties of ERE-derived MAPs suggest that those not expressed in mTECs can be highly immunogenic.
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Affiliation(s)
- Jean-David Larouche
- Institute of Research in Immunology and Cancer, Université de Montréal, P.O. Box 6128, Downtown Station, Montréal, QC, H3C 3J7, Canada
- Department of Medicine, Université de Montréal, Montréal, QC, Canada
| | - Assya Trofimov
- Institute of Research in Immunology and Cancer, Université de Montréal, P.O. Box 6128, Downtown Station, Montréal, QC, H3C 3J7, Canada
- Department of Computer Science and Operations Research, Université de Montréal, Montréal, QC, Canada
| | - Leslie Hesnard
- Institute of Research in Immunology and Cancer, Université de Montréal, P.O. Box 6128, Downtown Station, Montréal, QC, H3C 3J7, Canada
- Department of Medicine, Université de Montréal, Montréal, QC, Canada
| | - Gregory Ehx
- Institute of Research in Immunology and Cancer, Université de Montréal, P.O. Box 6128, Downtown Station, Montréal, QC, H3C 3J7, Canada
- Department of Medicine, Université de Montréal, Montréal, QC, Canada
| | - Qingchuan Zhao
- Institute of Research in Immunology and Cancer, Université de Montréal, P.O. Box 6128, Downtown Station, Montréal, QC, H3C 3J7, Canada
- Department of Medicine, Université de Montréal, Montréal, QC, Canada
| | - Krystel Vincent
- Institute of Research in Immunology and Cancer, Université de Montréal, P.O. Box 6128, Downtown Station, Montréal, QC, H3C 3J7, Canada
- Department of Medicine, Université de Montréal, Montréal, QC, Canada
| | - Chantal Durette
- Institute of Research in Immunology and Cancer, Université de Montréal, P.O. Box 6128, Downtown Station, Montréal, QC, H3C 3J7, Canada
| | - Patrick Gendron
- Institute of Research in Immunology and Cancer, Université de Montréal, P.O. Box 6128, Downtown Station, Montréal, QC, H3C 3J7, Canada
| | - Jean-Philippe Laverdure
- Institute of Research in Immunology and Cancer, Université de Montréal, P.O. Box 6128, Downtown Station, Montréal, QC, H3C 3J7, Canada
| | - Éric Bonneil
- Institute of Research in Immunology and Cancer, Université de Montréal, P.O. Box 6128, Downtown Station, Montréal, QC, H3C 3J7, Canada
| | - Caroline Côté
- Institute of Research in Immunology and Cancer, Université de Montréal, P.O. Box 6128, Downtown Station, Montréal, QC, H3C 3J7, Canada
| | - Sébastien Lemieux
- Institute of Research in Immunology and Cancer, Université de Montréal, P.O. Box 6128, Downtown Station, Montréal, QC, H3C 3J7, Canada
- Department of Biochemistry and Molecular Medicine, Université de Montréal, Montréal, QC, Canada
| | - Pierre Thibault
- Institute of Research in Immunology and Cancer, Université de Montréal, P.O. Box 6128, Downtown Station, Montréal, QC, H3C 3J7, Canada.
- Department of Chemistry, Université de Montréal, Montréal, QC, Canada.
| | - Claude Perreault
- Institute of Research in Immunology and Cancer, Université de Montréal, P.O. Box 6128, Downtown Station, Montréal, QC, H3C 3J7, Canada.
- Department of Medicine, Université de Montréal, Montréal, QC, Canada.
- Division of Hematology-Oncology, Hôpital Maisonneuve-Rosemont, Montréal, QC, Canada.
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Abstract
Retinal diseases were always difficult problem for clinical ophthalmology. Modern methods of their treatment only decrease risk of complications, however in Russia was created better technology for this purpose: peptide bioregulators, which were made by sequential adding of amino acids one to another, binding with the promoter region of genes, and promoting retinoprotective effect by regulation of their expression, improving the state of the retina.
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Affiliation(s)
- V Khavinson
- Saint Petersburg Institute of Bioregulation and Gerontlogy, Saint Petersburg, Russia.,Pavlov Institute of Physiology RAS, Saint Petersburg, Russia
| | - S Trofimova
- Saint Petersburg Institute of Bioregulation and Gerontlogy, Saint Petersburg, Russia
| | - A Trofimov
- Saint Petersburg Institute of Bioregulation and Gerontlogy, Saint Petersburg, Russia
| | - I Solomin
- Saint Petersburg Institute of Bioregulation and Gerontlogy, Saint Petersburg, Russia.
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Moteabbed M, Trofimov A, Sharp GC, Wang Y, Zietman AL, Efstathiou JA, Lu HM. Proton therapy of prostate cancer by anterior-oblique beams: implications of setup and anatomy variations. Phys Med Biol 2017; 62:1644-1660. [DOI: 10.1088/1361-6560/62/5/1644] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
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Hall D, Trofimov A, Winey B, Liebsch N, Paganetti H. TH-CD-209-09: Quickly Identifying Good Candidates for Proton Therapy From Geometric Considerations. Med Phys 2016. [DOI: 10.1118/1.4958203] [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: 11/07/2022] Open
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11
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Moteabbed M, Trofimov A, Sharp G, Wang Y, Zietman A, Efstathiou J, Lu H. SU-G-JeP4-09: Impact of Interfractional Motion On Hypofractionated Pencil Beam Scanning Proton Therapy for Prostate Cancer. Med Phys 2016. [DOI: 10.1118/1.4957119] [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: 11/07/2022] Open
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12
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Moteabbed M, Sharp GC, Wang Y, Trofimov A, Efstathiou JA, Lu HM. Validation of a deformable image registration technique for cone beam CT-based dose verification. Med Phys 2015; 42:196-205. [PMID: 25563260 DOI: 10.1118/1.4903292] [Citation(s) in RCA: 42] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/20/2023] Open
Abstract
PURPOSE As radiation therapy evolves toward more adaptive techniques, image guidance plays an increasingly important role, not only in patient setup but also in monitoring the delivered dose and adapting the treatment to patient changes. This study aimed to validate a method for evaluation of delivered intensity modulated radiotherapy (IMRT) dose based on multimodal deformable image registration (dir) for prostate treatments. METHODS A pelvic phantom was scanned with CT and cone-beam computed tomography (CBCT). Both images were digitally deformed using two realistic patient-based deformation fields. The original CT was then registered to the deformed CBCT resulting in a secondary deformed CT. The registration quality was assessed as the ability of the dir method to recover the artificially induced deformations. The primary and secondary deformed CT images as well as vector fields were compared to evaluate the efficacy of the registration method and it's suitability to be used for dose calculation. plastimatch, a free and open source software was used for deformable image registration. A B-spline algorithm with optimized parameters was used to achieve the best registration quality. Geometric image evaluation was performed through voxel-based Hounsfield unit (HU) and vector field comparison. For dosimetric evaluation, IMRT treatment plans were created and optimized on the original CT image and recomputed on the two warped images to be compared. The dose volume histograms were compared for the warped structures that were identical in both warped images. This procedure was repeated for the phantom with full, half full, and empty bladder. RESULTS The results indicated mean HU differences of up to 120 between registered and ground-truth deformed CT images. However, when the CBCT intensities were calibrated using a region of interest (ROI)-based calibration curve, these differences were reduced by up to 60%. Similarly, the mean differences in average vector field lengths decreased from 10.1 to 2.5 mm when CBCT was calibrated prior to registration. The results showed no dependence on the level of bladder filling. In comparison with the dose calculated on the primary deformed CT, differences in mean dose averaged over all organs were 0.2% and 3.9% for dose calculated on the secondary deformed CT with and without CBCT calibration, respectively, and 0.5% for dose calculated directly on the calibrated CBCT, for the full-bladder scenario. Gamma analysis for the distance to agreement of 2 mm and 2% of prescribed dose indicated a pass rate of 100% for both cases involving calibrated CBCT and on average 86% without CBCT calibration. CONCLUSIONS Using deformable registration on the planning CT images to evaluate the IMRT dose based on daily CBCTs was found feasible. The proposed method will provide an accurate dose distribution using planning CT and pretreatment CBCT data, avoiding the additional uncertainties introduced by CBCT inhomogeneity and artifacts. This is a necessary initial step toward future image-guided adaptive radiotherapy of the prostate.
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Affiliation(s)
- M Moteabbed
- Massachusetts General Hospital, Boston, Massachusetts 02114 and Harvard Medical School, Boston, Massachusetts 02115
| | - G C Sharp
- Massachusetts General Hospital, Boston, Massachusetts 02114 and Harvard Medical School, Boston, Massachusetts 02115
| | - Y Wang
- Massachusetts General Hospital, Boston, Massachusetts 02114 and Harvard Medical School, Boston, Massachusetts 02115
| | - A Trofimov
- Massachusetts General Hospital, Boston, Massachusetts 02114 and Harvard Medical School, Boston, Massachusetts 02115
| | - J A Efstathiou
- Massachusetts General Hospital, Boston, Massachusetts 02114 and Harvard Medical School, Boston, Massachusetts 02115
| | - H-M Lu
- Massachusetts General Hospital, Boston, Massachusetts 02114 and Harvard Medical School, Boston, Massachusetts 02115
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St-Pierre C, Trofimov A, Brochu S, Lemieux S, Perreault C. Differential Features of AIRE-Induced and AIRE-Independent Promiscuous Gene Expression in Thymic Epithelial Cells. J Immunol 2015; 195:498-506. [PMID: 26034170 DOI: 10.4049/jimmunol.1500558] [Citation(s) in RCA: 46] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/09/2015] [Accepted: 05/04/2015] [Indexed: 12/16/2023]
Abstract
Establishment of self-tolerance in the thymus depends on promiscuous expression of tissue-restricted Ags (TRA) by thymic epithelial cells (TEC). This promiscuous gene expression (pGE) is regulated in part by the autoimmune regulator (AIRE). To evaluate the commonalities and discrepancies between AIRE-dependent and -independent pGE, we analyzed the transcriptome of the three main TEC subsets in wild-type and Aire knockout mice. We found that the impact of AIRE-dependent pGE is not limited to generation of TRA. AIRE decreases, via non-cell autonomous mechanisms, the expression of genes coding for positive regulators of cell proliferation, and it thereby reduces the number of cortical TEC. In mature medullary TEC, AIRE-driven pGE upregulates non-TRA coding genes that enhance cell-cell interactions (e.g., claudins, integrins, and selectins) and are probably of prime relevance to tolerance induction. We also found that AIRE-dependent and -independent TRA present several distinctive features. In particular, relative to AIRE-induced TRA, AIRE-independent TRA are more numerous and show greater splicing complexity. Furthermore, we report that AIRE-dependent versus -independent TRA project nonredundant representations of peripheral tissues in the thymus.
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Affiliation(s)
- Charles St-Pierre
- Institute for Research in Immunology and Cancer, University of Montreal, Montreal, Quebec H3C 3J7, Canada; Department of Medicine, University of Montreal, Montreal, Quebec H3C 3J7, Canada; and
| | - Assya Trofimov
- Institute for Research in Immunology and Cancer, University of Montreal, Montreal, Quebec H3C 3J7, Canada; Department of Medicine, University of Montreal, Montreal, Quebec H3C 3J7, Canada; and Department of Computer Science and Operations Research, University of Montreal, Montreal, Quebec H3C 3J7, Canada
| | - Sylvie Brochu
- Institute for Research in Immunology and Cancer, University of Montreal, Montreal, Quebec H3C 3J7, Canada; Department of Medicine, University of Montreal, Montreal, Quebec H3C 3J7, Canada; and
| | - Sébastien Lemieux
- Institute for Research in Immunology and Cancer, University of Montreal, Montreal, Quebec H3C 3J7, Canada; Department of Computer Science and Operations Research, University of Montreal, Montreal, Quebec H3C 3J7, Canada
| | - Claude Perreault
- Institute for Research in Immunology and Cancer, University of Montreal, Montreal, Quebec H3C 3J7, Canada; Department of Medicine, University of Montreal, Montreal, Quebec H3C 3J7, Canada; and
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Moteabbed M, Trofimov A, Sharp GC, Wang Y, Zietman AL, Efstathiou JA, Lu H. SU-E-T-457: Impact of Interfractional Variations On Anterior Vs. Lateral-Field Proton Therapy of Prostate Cancer. Med Phys 2015. [DOI: 10.1118/1.4924819] [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: 11/07/2022] Open
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15
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de Verteuil DA, Rouette A, Hardy MP, Lavallée S, Trofimov A, Gaucher É, Perreault C. Immunoproteasomes Shape the Transcriptome and Regulate the Function of Dendritic Cells. J I 2014; 193:1121-32. [DOI: 10.4049/jimmunol.1400871] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
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16
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Trofimov A. Management of Craniofacial Polytrauma Complicated by Cerebrospinal Rhinorrhea. Skull Base Surg 2014. [DOI: 10.1055/s-0034-1384151] [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: 10/20/2022]
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17
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Moteabbed M, Trofimov A, Testa M, Sharp G, Wang Y, Paganetti H, Zietman A, Efstathiou J, Lu H. SU-E-T-616: Comparison of Plan Dose Accuracy for Anterior Vs. Lateral Fields in Proton Therapy of Prostate Cancer. Med Phys 2014. [DOI: 10.1118/1.4888952] [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: 11/07/2022] Open
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18
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Deisher A, Whitaker T, Kooy H, Trofimov A, Kruse J. SU-E-T-441: Comparison of Dose Distributions for Spot-Scanned Pencil-Beam and Scattered-Beam Proton Treatments of Ocular Tumors. Med Phys 2014. [DOI: 10.1118/1.4888774] [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: 11/07/2022] Open
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19
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Trofimov A, Carpenter K, Shih HA. SU-E-CAMPUS-T-01: Analysis of the Precision of Patient Set-Up, and Fidelity of the Delivered Dose Distribution in Proton Therapy of Ocular Tumors. Med Phys 2014. [DOI: 10.1118/1.4889008] [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: 11/07/2022] Open
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20
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Rouette A, de Verteuil D, Hardy MP, Lavallée S, Trofimov A, Gaucher É, Perreault C. Immunoproteasomes shape the transcriptome and regulate the function of dendritic cells (IRM7P.476). The Journal of Immunology 2014. [DOI: 10.4049/jimmunol.192.supp.126.1] [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] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
Abstract
Abstract
Background: By regulating protein degradation, constitutive proteasomes (CPs) regulate practically all fundamental cellular processes. Vertebrates also express immunoproteasomes (IPs), but the only well-established non-redundant role for IPs is their enhanced ability to generate peptides for MHC-I presentation. Results: Here we show that IPs regulate the expression of 8,104 genes in maturing bone marrow-derived dendritic cells (DCs). IPs regulated transcription of many mRNAs and maturation of a subset of them. These genes were separated into 15 different kinetic patterns, and Gene-Ontology analysis revealed enrichment linked to immune functions and housekeeping cellular processes, highlighting the complexity of the transcriptional cascade regulated by IPs. Notably, IPs’ impact on transcription was mediated through the non-redundant regulation of critical immune-related pathways, such as Nf-kB, STATs and IRFs. Furthermore, even when loaded with optimal amounts of SIINFEKL, IP-deficient DCs were inefficient for in vivo priming of OT-1 T cells. Conclusion: Our study shows that the role of IPs is not limited to antigen processing and highlights a new and critical role for IPs in regulation of gene expression. The dramatic impact of IPs on the transcriptional landscape could explain the various immune and non-immune phenotypes observed in vertebrates with IP-deficiency or -mutation.
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Affiliation(s)
- Alexandre Rouette
- 1Institute for Research in Immunology and Cancerology, University of Montreal, Montreal, QC, Canada
| | - Danielle de Verteuil
- 1Institute for Research in Immunology and Cancerology, University of Montreal, Montreal, QC, Canada
| | - Marie-Pierre Hardy
- 1Institute for Research in Immunology and Cancerology, University of Montreal, Montreal, QC, Canada
| | - Stéphanie Lavallée
- 1Institute for Research in Immunology and Cancerology, University of Montreal, Montreal, QC, Canada
| | - Assya Trofimov
- 1Institute for Research in Immunology and Cancerology, University of Montreal, Montreal, QC, Canada
| | - Étienne Gaucher
- 1Institute for Research in Immunology and Cancerology, University of Montreal, Montreal, QC, Canada
| | - Claude Perreault
- 1Institute for Research in Immunology and Cancerology, University of Montreal, Montreal, QC, Canada
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21
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Vincent K, Hardy MP, Trofimov A, Laumont CM, Sriranganadane D, Hadj-Mimoune S, Salem Fourati I, Soudeyns H, Thibault P, Perreault C. Rejection of leukemic cells requires antigen-specific T cells with high functional avidity. Biol Blood Marrow Transplant 2013; 20:37-45. [PMID: 24161924 DOI: 10.1016/j.bbmt.2013.10.020] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.7] [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: 09/05/2013] [Accepted: 10/21/2013] [Indexed: 12/31/2022]
Abstract
In a context where injection of antigen (Ag)-specific T cells probably represents the future of leukemia immunotherapy, identification of optimal target Ags is crucial. We therefore sought to discover a reliable marker for selection of the most potent Ags. To this end, (1) we immunized mice against 8 individual Ags: 4 minor histocompatibility Ags (miHAs) and 4 leukemia-associated Ags (LAAs) that were overexpressed on leukemic relative to normal thymocytes; (2) we assessed their ability to reject EL4 leukemic cells; and (3) we correlated the properties of our Ags (and their cognate T cells) with their ability to induce protective antileukemic responses. Overall, individual miHAs instigated more potent antileukemic responses than LAAs. Three features had no influence on the ability of primed T cells to reject leukemic cells: (1) MHC-peptide affinity; (2) the stability of MHC-peptide complexes; and (3) epitope density at the surface of leukemic cells, as assessed using mass spectrometry. The cardinal feature of successful Ags is that they were recognized by high-avidity CD8 T cells that proliferated extensively in vivo. Our work suggests that in vitro evaluation of functional avidity represents the best criterion for selection of Ags, which should be prioritized in clinical trials of leukemia immunotherapy.
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Affiliation(s)
- Krystel Vincent
- Institute for Research in Immunology and Cancer, Université de Montréal, Montréal, Quebec, Canada; Department of Medicine, Université de Montréal, Montréal, Quebec, Canada
| | - Marie-Pierre Hardy
- Institute for Research in Immunology and Cancer, Université de Montréal, Montréal, Quebec, Canada; Department of Medicine, Université de Montréal, Montréal, Quebec, Canada
| | - Assya Trofimov
- Institute for Research in Immunology and Cancer, Université de Montréal, Montréal, Quebec, Canada; Department of Medicine, Université de Montréal, Montréal, Quebec, Canada
| | - Céline M Laumont
- Institute for Research in Immunology and Cancer, Université de Montréal, Montréal, Quebec, Canada; Department of Medicine, Université de Montréal, Montréal, Quebec, Canada
| | - Dev Sriranganadane
- Institute for Research in Immunology and Cancer, Université de Montréal, Montréal, Quebec, Canada; Department of Chemistry, Université de Montréal, Montréal, Quebec, Canada
| | - Sarah Hadj-Mimoune
- Institute for Research in Immunology and Cancer, Université de Montréal, Montréal, Quebec, Canada; Department of Medicine, Université de Montréal, Montréal, Quebec, Canada
| | - Insaf Salem Fourati
- Department of Microbiology, Infectiology and Immunology, Université de Montréal, Montréal, Quebec, Canada
| | - Hugo Soudeyns
- Department of Microbiology, Infectiology and Immunology, Université de Montréal, Montréal, Quebec, Canada
| | - Pierre Thibault
- Institute for Research in Immunology and Cancer, Université de Montréal, Montréal, Quebec, Canada; Department of Chemistry, Université de Montréal, Montréal, Quebec, Canada
| | - Claude Perreault
- Institute for Research in Immunology and Cancer, Université de Montréal, Montréal, Quebec, Canada; Department of Medicine, Université de Montréal, Montréal, Quebec, Canada.
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Safai S, Trofimov A, Adams JA, Engelsman M, Bortfeld T. The rationale for intensity-modulated proton therapy in geometrically challenging cases. Phys Med Biol 2013; 58:6337-53. [PMID: 23965339 DOI: 10.1088/0031-9155/58/18/6337] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
Intensity-modulated proton therapy (IMPT) delivered with beam scanning is currently available at a limited number of proton centers. However, a simplified form of IMPT, the technique of field 'patching', has long been a standard practice in proton therapy centers. In field patching, different parts of the target volume are treated from different directions, i.e., a part of the tumor gets either full dose from a radiation field, or almost no dose. Thus, patching represents a form of binary intensity modulation. This study explores the limitations of the standard binary field patching technique, and evaluates possible dosimetric advantages of continuous dose modulations in IMPT. Specifics of the beam delivery technology, i.e., pencil beam scanning versus passive scattering and modulation, are not investigated. We have identified two geometries of target volumes and organs at risk (OAR) in which the use of field patching is severely challenged. We focused our investigations on two patient cases that exhibit these geometries: a paraspinal tumor case and a skull-base case. For those cases we performed treatment planning comparisons of three-dimensional conformal proton therapy (3DCPT) with field patching versus IMPT, using commercial and in-house software, respectively. We also analyzed the robustness of the resulting plans with respect to systematic setup errors of ±1 mm and range errors of ±2.5 mm. IMPT is able to better spare OAR while providing superior dose coverage for the challenging cases identified above. Both 3DCPT and IMPT are sensitive to setup errors and range uncertainties, with IMPT showing the largest effect. Nevertheless, when delivery uncertainties are taken into account IMPT plans remain superior regarding target coverage and OAR sparing. On the other hand, some clinical goals, such as the maximum dose to OAR, are more likely to be unmet with IMPT under large range errors. IMPT can potentially improve target coverage and OAR sparing in challenging cases, even when compared with the relatively complicated and time consuming field patching technique. While IMPT plans tend to be more sensitive to delivery uncertainties, their dosimetric advantage generally holds. Robust treatment planning techniques may further reduce the sensitivity of IMPT plans.
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Affiliation(s)
- S Safai
- Francis H Burr Proton Therapy Center, Massachusetts General Hospital, Boston, MA, USA.
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Giantsoudi D, Unkelbach J, Craft D, Zeng C, Trofimov A, Paganetti H. TH-A-116-02: Radiobiological Implications of Various Target and Beam Geometry Utilization in Treatment Planning for Intensity Modulated Proton Therapy. Med Phys 2013. [DOI: 10.1118/1.4815731] [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: 11/07/2022] Open
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24
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Moteabbed M, Trofimov A, Sharp G, Lu H. MO-G-137-03: Evaluation of the Robustness of Proton Therapy Compared with IMRT Regarding Interfractional Variations for Prostate Cancer. Med Phys 2013. [DOI: 10.1118/1.4815316] [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: 11/07/2022] Open
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25
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Giantsoudi D, Grassberger C, Craft D, Niemierko A, Trofimov A, Paganetti H. TH-C-213AB-11: LET-Guided Biological Optimization in IMPT. Med Phys 2012. [DOI: 10.1118/1.4736300] [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: 11/07/2022] Open
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26
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Zeng C, Giantsoudi D, Grassberger C, Goldberg S, Niemierko A, Paganetti H, Trofimov A. SU-E-T-552: Maximizing the Biological Effect of Proton Dose Delivered with Scanned Beam. Med Phys 2012; 39:3832. [DOI: 10.1118/1.4735641] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
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27
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Chen W, Unkelbach J, Trofimov A, Madden T, Kooy H, Bortfeld T, Craft D. TH-A-213AB-08: Robust Multi-Criteria IMPT Optimization. Med Phys 2012. [DOI: 10.1118/1.4736242] [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: 11/07/2022] Open
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Bortfeld T, Craft D, Chen W, Trofimov A, Richter C, Seco J, Ramakrishnan J, Unkelbach J. SP-0021 TREATMENT PLANNING: INTEGRATING ROBUSTNESS IN OPTIMIZATION. Radiother Oncol 2012. [DOI: 10.1016/s0167-8140(12)70360-2] [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: 10/28/2022]
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Trofimov A, Song L, Wala J, Craft D, Lu H, Mutic S, Efstathiou J. Evaluation of the Utility of Parameterized Expectation Values of Dose-Volume Metrics for Quality Control in IMRT and Proton Therapy Planning for Prostate Carcinoma. Int J Radiat Oncol Biol Phys 2011. [DOI: 10.1016/j.ijrobp.2011.06.1450] [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: 11/28/2022]
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Trofimov A, Niemierko A, Efstathiou JA. SU-E-T-659: Maximizing the Therapeutic Effect of a Fractionated Treatment with Delivery of Inhomogeneous Daily Dose Distributions. Med Phys 2011. [DOI: 10.1118/1.3612622] [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: 11/07/2022] Open
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Zhang X, Zhang R, Dong L, Li Y, Trofimov A, Delaney T, Mahajan A, Mohan R. Improving Clinical Potential, Efficiency and Robustness of Planning and Delivery of IMPT for Skull-based Chordomas. Int J Radiat Oncol Biol Phys 2010. [DOI: 10.1016/j.ijrobp.2010.07.1862] [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: 10/19/2022]
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Trofimov A, Kang J, Unkelbach J, Adams J, Zhang X, Bortfeld T, Liebsch N, DeLaney T. Evaluation of Dosimetric Gain and Uncertainties in Proton Therapy Delivery with Scanned Pencil Beam in Treatment of Base-of-skull and Spinal Tumors. Int J Radiat Oncol Biol Phys 2010. [DOI: 10.1016/j.ijrobp.2010.07.334] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
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Grassberger C, Trofimov A, Paganetti H. MO-E-BRB-02: Biologically Optimized Treatment Planning for Proton Therapy: Monte Carlo Calculated Linear Energy Transfer Distributions in Patients. Med Phys 2010. [DOI: 10.1118/1.3469112] [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: 11/07/2022] Open
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Trofimov A, Wang Y, Merrick S, Wong J, Efstathiou J. WE-A-BRA-03: Considerations of Inter-Observer and Inter-Fractional Anatomical Variability in Estimating the Beam Range Uncertainty in Proton Therapy of Prostate Cancer. Med Phys 2010. [DOI: 10.1118/1.3469324] [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: 11/07/2022] Open
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Wang Y, Efstathiou J, Ciernik I, Sharp G, Lu H, Trofimov A. SU-GG-T-454: Dosimetric Impact of Inter-Fractional Variations in Proton Therapy of Prostate Cancer: Assessment of Dose Accumulation and Plan Robustness Using Daily In-Room CT Images. Med Phys 2010. [DOI: 10.1118/1.3468852] [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: 11/07/2022] Open
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Ding A, Gu J, Mille M, Xu X, Wang Y, Trofimov A. TH-C-201B-04: Methods to Account for Imaging Doses from Diagnostic MDCT or Kilovoltage CBCT in Prostate Treatment Planning: Monte Carlo Studies Using Scanner Models and Patient-Specific Anatomy. Med Phys 2010. [DOI: 10.1118/1.3469521] [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: 11/07/2022] Open
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MacDonald S, Trofimov A, Safai S, Jordan R, Ramesh J, Fullerton B, Adams J, Ebb D, Tarbell N, Yock T. Proton Radiotherapy for Pediatric Central Nervous System Germ Cell Tumors: Early Clinical Outcomes. Int J Radiat Oncol Biol Phys 2009. [DOI: 10.1016/j.ijrobp.2009.07.1162] [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: 11/16/2022]
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Kooy H, Trofimov A, Adams J, Flanz J. THE BOSTON EXPERIENCE. Radiother Oncol 2009. [DOI: 10.1016/s0167-8140(12)72846-3] [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: 10/27/2022]
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Trofimov A, Yock AD, Choi NC. WE-C-BRC-10: The Utility of Surrogates of the Distribution of Pulmonary Function in Individualizing Thoracic Radiotherapy. Med Phys 2009. [DOI: 10.1118/1.3182478] [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: 11/07/2022] Open
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Kang J, Unkelbach J, Trofimov A, Bortfeld T. SU-FF-T-185: Implementation of a Dose Delivery Model to Handle Respiratory Motion with Variability. Med Phys 2009. [DOI: 10.1118/1.3181660] [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: 11/07/2022] Open
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Safai S, MacDonald S, Lu H, Schwarz M, Trofimov A, Herrup D, Taghian A, Bortfeld T. Feasibility Study of Pencil Beam Scanning in Proton Therapy for Left-sided Post-mastectomy Chest Wall Irradiation. Int J Radiat Oncol Biol Phys 2008. [DOI: 10.1016/j.ijrobp.2008.06.039] [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: 10/21/2022]
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Trofimov A, Gansemer C, Sharp G, Bortfeld T, Choi N. SU-GG-J-115: Investigating the Utility of Dose-Functional Histograms in Risk Assessment of Thoracic Radiotherapy. Med Phys 2008. [DOI: 10.1118/1.2961664] [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: 11/07/2022] Open
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Bortfeld T, Trofimov A, Unkelbach J, Martin B, Nohadani O. WE-B-350-02: Patient Motion & 4D Inverse Planning. Med Phys 2008. [DOI: 10.1118/1.2962676] [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: 11/07/2022] Open
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Bennett GW, Bousquet B, Brown HN, Bunce G, Carey RM, Cushman P, Danby GT, Debevec PT, Deile M, Deng H, Deninger W, Dhawan SK, Druzhinin VP, Duong L, Efstathiadis E, Farley FJM, Fedotovich GV, Giron S, Gray FE, Grigoriev D, Grosse-Perdekamp M, Grossmann A, Hare MF, Hertzog DW, Huang X, Hughes VW, Iwasaki M, Jungmann K, Kawall D, Kawamura M, Khazin BI, Kindem J, Krienen F, Kronkvist I, Lam A, Larsen R, Lee YY, Logashenko I, McNabb R, Meng W, Mi J, Miller JP, Mizumachi Y, Morse WM, Nikas D, Onderwater CJG, Orlov Y, Ozben CS, Paley JM, Peng Q, Polly CC, Pretz J, Prigl R, zu Putlitz G, Qian T, Redin SI, Rind O, Roberts BL, Ryskulov N, Sedykh S, Semertzidis YK, Shagin P, Shatunov YM, Sichtermann EP, Solodov E, Sossong M, Steinmetz A, Sulak LR, Timmermans C, Trofimov A, Urner D, von Walter P, Warburton D, Winn D, Yamamoto A, Zimmerman D. Search for Lorentz and CPT violation effects in Muon spin precession. Phys Rev Lett 2008; 100:091602. [PMID: 18352695 DOI: 10.1103/physrevlett.100.091602] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/29/2007] [Indexed: 05/26/2023]
Abstract
The spin precession frequency of muons stored in the (g-2) storage ring has been analyzed for evidence of Lorentz and CPT violation. Two Lorentz and CPT violation signatures were searched for a nonzero delta omega a(=omega a mu+ - omega a mu-) and a sidereal variation of omega a mu+/-). No significant effect is found, and the following limits on the standard-model extension parameters are obtained: bZ = -(1.0+/-1.1) x 10(-23) GeV; (m mu dZ0 + HXY)=(1.8+/-6.0) x 10(-23) GeV; and the 95% confidence level limits b perpendicular mu+ <1.4 x 10(-24) GeV and b perpendicular mu- <2.6 x 10(-24) GeV.
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Affiliation(s)
- G W Bennett
- Brookhaven National Laboratory, Upton, NY 11973, USA
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Bortfeld T, Trofimov A, Unkelbach J, Chan TCY, Martin B. WE-B-BRB-02: Patient Motion: Adaptive RT. Med Phys 2007. [DOI: 10.1118/1.2761485] [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: 11/07/2022] Open
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Robertson D, Seco J, Trofimov A, Paganetti H. TH-C-AUD-06: Breathing Interplay Effects During Proton Beam Spot Scanning: Simulation and Statistical Analysis. Med Phys 2007. [DOI: 10.1118/1.2761665] [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: 11/07/2022] Open
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Sharp G, Lu H, Trofimov A, Tang X, Jiang S, Turcotte J, Gierga D, Chen G, Hong T. TU-C-M100J-01: Assessing Residual Motion for Gated Proton-Beam Radiotherapy. Med Phys 2007. [DOI: 10.1118/1.2761332] [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: 11/07/2022] Open
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Vrancic C, Trofimov A, Chan T, Sharp G, Bortfeld T. SU-FF-T-224: Experimental Evaluation of a Robust Optimization Method for IMRT of Moving Targets. Med Phys 2007. [DOI: 10.1118/1.2760885] [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: 11/07/2022] Open
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Chan TCY, Trofimov A, Vrancic C, Tsitsiklis JN, Bortfeld T. MO-E-BRA-03: Application of Robust Optimization in Lung Cancer Treatment. Med Phys 2007. [DOI: 10.1118/1.2761296] [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: 11/07/2022] Open
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Trofimov A, Vrancic C, Chan TCY, Sharp G, Bortfeld T. SU-DD-A3-06: Tumor Trailing Strategy for IMRT in the Presence of Target Motion: Preliminary Studies. Med Phys 2007. [DOI: 10.1118/1.2760337] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
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