Auswahl der wissenschaftlichen Literatur zum Thema „Immunopeptidomics“
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Zeitschriftenartikel zum Thema "Immunopeptidomics"
Ternette, Nicola, und Anthony W. Purcell. „Immunopeptidomics Special Issue“. PROTEOMICS 18, Nr. 12 (Juni 2018): 1800145. http://dx.doi.org/10.1002/pmic.201800145.
Der volle Inhalt der QuelleShapiro, Ilja E., Marco Tognetti, Tikira Temu, Oliver M. Bernhardt, Daniel Redfern, Yuehan Feng, Roland Bruderer und Lukas Reiter. „Abstract 5376: Quantitative profiling of HLA class I and class II antigens and neoantigens in tissue biopsy and PBMC samples using an optimized mass spectrometry-based workflow“. Cancer Research 84, Nr. 6_Supplement (22.03.2024): 5376. http://dx.doi.org/10.1158/1538-7445.am2024-5376.
Der volle Inhalt der QuelleMayer, Rupert L., und Karl Mechtler. „Immunopeptidomics in the Era of Single-Cell Proteomics“. Biology 12, Nr. 12 (12.12.2023): 1514. http://dx.doi.org/10.3390/biology12121514.
Der volle Inhalt der QuelleConnelley, Timothy, Annalisa Nicastri, Tara Sheldrake, Christina Vrettou, Andressa Fisch, Birkir Reynisson, Soren Buus et al. „Immunopeptidomic Analysis of BoLA-I and BoLA-DR Presented Peptides from Theileria parva Infected Cells“. Vaccines 10, Nr. 11 (11.11.2022): 1907. http://dx.doi.org/10.3390/vaccines10111907.
Der volle Inhalt der QuelleChong, Chloe, George Coukos und Michal Bassani-Sternberg. „Identification of tumor antigens with immunopeptidomics“. Nature Biotechnology 40, Nr. 2 (11.10.2021): 175–88. http://dx.doi.org/10.1038/s41587-021-01038-8.
Der volle Inhalt der QuelleMellacheruvu, Dattatreya, Rachel Pyke, Charles Abbott, Nick Phillips, Sejal Desai, Rena McClory, John West, Richard Chen und Sean Boyle. „57 Precision neoantigen discovery using novel algorithms and expanded HLA-ligandome datasets“. Journal for ImmunoTherapy of Cancer 8, Suppl 3 (November 2020): A62. http://dx.doi.org/10.1136/jitc-2020-sitc2020.0057.
Der volle Inhalt der QuelleFoster, Leonard, Queenie Chan, Charlie Kuan und Hong Bing Yu. „A framework for unbiased, robust and system-wide characterization of MHC-bound peptides and epitopes (APP5P.111)“. Journal of Immunology 194, Nr. 1_Supplement (01.05.2015): 183.13. http://dx.doi.org/10.4049/jimmunol.194.supp.183.13.
Der volle Inhalt der QuelleKochin, Vitaly, Takayuki Kanaseki, Sho Miyamoto, Daichi Morooka, Keigo Moniwa, Yutaro Ikeuchi, Akari Takaya, Yoshihiko Hirohashi, Toshihiko Torigoe und Noriyuki Sato. „Human cancer immunopeptidomics for efficient CTL immunotherapy“. Annals of Oncology 26 (November 2015): vii30. http://dx.doi.org/10.1093/annonc/mdv424.02.
Der volle Inhalt der QuelleIstrail, S., L. Florea, B. V. Halldorsson, O. Kohlbacher, R. S. Schwartz, V. B. Yap, J. W. Yewdell und S. L. Hoffman. „Comparative immunopeptidomics of humans and their pathogens“. Proceedings of the National Academy of Sciences 101, Nr. 36 (23.08.2004): 13268–72. http://dx.doi.org/10.1073/pnas.0404740101.
Der volle Inhalt der QuelleGarcia‐Moure, Marc, Andrew G. Gillard, Marta M. Alonso, Juan Fueyo und Candelaria Gomez‐Manzano. „Oncolytic adenoviruses and immunopeptidomics: a convenient marriage“. Molecular Oncology 18, Nr. 4 (April 2024): 781–84. http://dx.doi.org/10.1002/1878-0261.13648.
Der volle Inhalt der QuelleDissertationen zum Thema "Immunopeptidomics"
Ghosh, Michael [Verfasser]. „Advancing immunopeptidomics : validation of the method, improved epitope prediction, peptide-based HLA typing and discrimination of healthy and malignant tissue / Michael Ghosh“. Tübingen : Universitätsbibliothek Tübingen, 2020. http://d-nb.info/1218073012/34.
Der volle Inhalt der QuelleRijal, Jeewan Babu. „Development and optimization of high-performing quantitative proteomics methods : application to the discovery of biomarkers for the early diagnosis of multiple sclerosis“. Electronic Thesis or Diss., Strasbourg, 2024. http://www.theses.fr/2024STRAF015.
Der volle Inhalt der QuelleRecent major instrumental, analytical and computational innovations are enabling massspectrometry-based proteomics to achieve previously unmet levels of sensitivity and proteome coverage and thus hold new promises for biomarker discovery studies.This PhD work focuses on proteomics method developments and optimizations including the sample preparation and its automation, the fine tuning of MS acquisition methods using diaPASEF on a latest generation timsTOF instrument and the benchmarking of adapted data interpretation strategies. Optimized workflows were then applied to identify 46 robust biomarker candidates for Multiple Sclerosis, detected across various sample types on a mouse model and human body fluids. Eight of these biomarkers were successfully validated by orthogonal ELISA, underlining the effectiveness of our optimized MS workflows
Di, Marco Moreno [Verfasser], und Stefan [Akademischer Betreuer] Stevanović. „The immunopeptidomic landscape of clear cell renal cell carcinoma : identification and characterization of T-cell epitopes for immunotherapeutic approaches / Moreno Di Marco ; Betreuer: Stefan Stevanović“. Tübingen : Universitätsbibliothek Tübingen, 2018. http://d-nb.info/119926850X/34.
Der volle Inhalt der QuelleBuchteile zum Thema "Immunopeptidomics"
Gabriel, Wassim, Mario Picciani, Matthew The und Mathias Wilhelm. „Deep Learning-Assisted Analysis of Immunopeptidomics Data“. In Methods in Molecular Biology, 457–83. New York, NY: Springer US, 2024. http://dx.doi.org/10.1007/978-1-0716-3646-6_25.
Der volle Inhalt der QuelleBassani-Sternberg, Michal. „Mass Spectrometry Based Immunopeptidomics for the Discovery of Cancer Neoantigens“. In Methods in Molecular Biology, 209–21. New York, NY: Springer New York, 2018. http://dx.doi.org/10.1007/978-1-4939-7537-2_14.
Der volle Inhalt der QuelleMarino, Fabio, Chloe Chong, Justine Michaux und Michal Bassani-Sternberg. „High-Throughput, Fast, and Sensitive Immunopeptidomics Sample Processing for Mass Spectrometry“. In Methods in Molecular Biology, 67–79. New York, NY: Springer New York, 2019. http://dx.doi.org/10.1007/978-1-4939-8979-9_5.
Der volle Inhalt der QuelleElAbd, Hesham, und Andre Franke. „Mass Spectrometry-Based Immunopeptidomics of Peptides Presented on Human Leukocyte Antigen Proteins“. In Methods in Molecular Biology, 425–43. New York, NY: Springer US, 2024. http://dx.doi.org/10.1007/978-1-0716-3646-6_23.
Der volle Inhalt der QuelleAlvarez, Iñaki. „Purification of HLA Immunopeptidomes from Human Thymus“. In Methods in Molecular Biology, 127–36. New York, NY: Springer US, 2021. http://dx.doi.org/10.1007/978-1-0716-1936-0_10.
Der volle Inhalt der QuelleMarcilla, Miguel. „Immunopeptidomic Analysis of the Phosphopeptidome Displayed by HLA Class I Molecules“. In Methods in Molecular Biology, 149–58. New York, NY: Springer US, 2021. http://dx.doi.org/10.1007/978-1-0716-1936-0_12.
Der volle Inhalt der QuelleShao, Wenguang, Etienne Caron, Patrick Pedrioli und Ruedi Aebersold. „The SysteMHC Atlas: a Computational Pipeline, a Website, and a Data Repository for Immunopeptidomic Analyses“. In Bioinformatics for Cancer Immunotherapy, 173–81. New York, NY: Springer US, 2020. http://dx.doi.org/10.1007/978-1-0716-0327-7_12.
Der volle Inhalt der QuelleKovalchik, Kevin, David Hamelin und Etienne Caron. „Generation of HLA Allele-Specific Spectral Libraries to Identify and Quantify Immunopeptidomes by SWATH/DIA-MS“. In Methods in Molecular Biology, 137–47. New York, NY: Springer US, 2021. http://dx.doi.org/10.1007/978-1-0716-1936-0_11.
Der volle Inhalt der QuelleBhattacharjee, Bedanta, Rajashri Bezbaruah, Damanbhalang Rynjah, Arzoo Newar, Disha Valu, Nasima Ahmed und Prashant Kumar. „Proteogenomics and immunopeptidomics in the development of advanced vaccines“. In Advanced Vaccination Technologies for Infectious and Chronic Diseases, 455–75. Elsevier, 2024. http://dx.doi.org/10.1016/b978-0-443-18564-9.00019-9.
Der volle Inhalt der QuelleBarbosa, Camila R. R., und Paulo J. G. Bettencourt. „Harnessing the power of CD8+ T-cells: identification and validation of peptides bound to major histocompatibility complex class I by immunopeptidomics“. In Vaccinology and Methods in Vaccine Research, 133–61. Elsevier, 2022. http://dx.doi.org/10.1016/b978-0-323-91146-7.00008-1.
Der volle Inhalt der QuelleKonferenzberichte zum Thema "Immunopeptidomics"
Bruno, Peter, Richard Timms, Nouran Abdelfattah, Yumei Leng, Felipe Lelis, Duane Wesemann, Xu Yu und Stephen Elledge. „63 EpiScan: A synthetic biology platform for targeted immunopeptidomics“. In SITC 37th Annual Meeting (SITC 2022) Abstracts. BMJ Publishing Group Ltd, 2022. http://dx.doi.org/10.1136/jitc-2022-sitc2022.0063.
Der volle Inhalt der QuelleBassani-Sternberg, Michal, Chloe Chong, Fabio Marino, HuiSong Pak, David Gfeller, Markus Müller und George Coukos. „Abstract PL02-02: Immunopeptidomics: Accelerating the development of personalized cancer immunotherapy“. In Abstracts: AACR-NCI-EORTC International Conference: Molecular Targets and Cancer Therapeutics; October 26-30, 2017; Philadelphia, PA. American Association for Cancer Research, 2018. http://dx.doi.org/10.1158/1535-7163.targ-17-pl02-02.
Der volle Inhalt der QuelleZöhrer, Benedikt, Ákos Végvári, Johan Grunewald und Åsa M. Wheelock. „Late Breaking Abstract - HLA-DR immunopeptidomics on cells from bronchoalveolar lavage“. In ERS International Congress 2023 abstracts. European Respiratory Society, 2023. http://dx.doi.org/10.1183/13993003.congress-2023.pa2220.
Der volle Inhalt der QuelleXue, Liang, Mykola Bordyuh, Djork-Arne Clevert und Robert Stanton. „Benchmarking deep learning models and classical de novo sequencing tools for immunopeptidomics.“ In BCB '23: 14th ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics. New York, NY, USA: ACM, 2023. http://dx.doi.org/10.1145/3584371.3613055.
Der volle Inhalt der QuelleSinharay, Ricky, Andreas Neerincx, Arwen Altenburg, Jens Bauer, Mark R. Wills, Julianne S. Walz, William Gelson und Louise H. Boyle. „O02 Discovery of novel HLA class I presented hepatitis B peptides using an immunopeptidomics approach“. In Abstracts of the British Association for the Study of the Liver Annual Meeting, 20–23 September 2022. BMJ Publishing Group Ltd and British Society of Gastroenterology, 2022. http://dx.doi.org/10.1136/gutjnl-2022-basl.2.
Der volle Inhalt der QuelleMellacheruvu, Datta, Nick Phillips, Gabor Bartha, Jason Harris, Robert Power, Rena McClory, John West, Richard Chen und Sean Michael Boyle. „Abstract 4536: Applying immunopeptidomics and machine learning to improve neoantigen prediction for therapeutic and diagnostic use“. In Proceedings: AACR Annual Meeting 2019; March 29-April 3, 2019; Atlanta, GA. American Association for Cancer Research, 2019. http://dx.doi.org/10.1158/1538-7445.sabcs18-4536.
Der volle Inhalt der QuelleMellacheruvu, Datta, Nick Phillips, Gabor Bartha, Jason Harris, Robert Power, Rena McClory, John West, Richard Chen und Sean Michael Boyle. „Abstract 4536: Applying immunopeptidomics and machine learning to improve neoantigen prediction for therapeutic and diagnostic use“. In Proceedings: AACR Annual Meeting 2019; March 29-April 3, 2019; Atlanta, GA. American Association for Cancer Research, 2019. http://dx.doi.org/10.1158/1538-7445.am2019-4536.
Der volle Inhalt der QuelleFonseca, Andre, und Dinler Antunes. „1278 Crossdome: An interactive R package to predict T-cell cross-reactivity risk on immunopeptidomics databases“. In SITC 37th Annual Meeting (SITC 2022) Abstracts. BMJ Publishing Group Ltd, 2022. http://dx.doi.org/10.1136/jitc-2022-sitc2022.1278.
Der volle Inhalt der QuelleHernandez, Gabrielle M., Hannah Taylor, Eva K. Verzani, Claudia Ctortecka, David A. Berrios Nolasco, Karl R. Clauser, Namrata D. Udeshi, Jennifer G. Abelin, Elisabet Manasanch und Steven A. Carr. „1040-B Identifying tumor-associated antigens in different stages of multiple myeloma using low input HLA immunopeptidomics“. In SITC 38th Annual Meeting (SITC 2023) Abstracts Supplement 2. BMJ Publishing Group Ltd, 2023. http://dx.doi.org/10.1136/jitc-2023-sitc2023.1040-b.
Der volle Inhalt der QuelleSchöllhorn, Anna, Thorben Groß, Lucia Torres Fernandez, Jens Bauer, Ana Marcu, Juliane Walz, Reinhild Klein et al. „213 Immunopeptidomics of small cell lung cancer reveals numerous tumor-specific HLA ligands as T cell antigen candidates“. In SITC 38th Annual Meeting (SITC 2023) Abstracts. BMJ Publishing Group Ltd, 2023. http://dx.doi.org/10.1136/jitc-2023-sitc2023.0213.
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