Gotowa bibliografia na temat „Immunopeptidomics”
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Artykuły w czasopismach na temat "Immunopeptidomics"
Ternette, Nicola, i Anthony W. Purcell. "Immunopeptidomics Special Issue". PROTEOMICS 18, nr 12 (czerwiec 2018): 1800145. http://dx.doi.org/10.1002/pmic.201800145.
Pełny tekst źródłaShapiro, Ilja E., Marco Tognetti, Tikira Temu, Oliver M. Bernhardt, Daniel Redfern, Yuehan Feng, Roland Bruderer i 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.
Pełny tekst źródłaMayer, Rupert L., i 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.
Pełny tekst źródłaConnelley, Timothy, Annalisa Nicastri, Tara Sheldrake, Christina Vrettou, Andressa Fisch, Birkir Reynisson, Soren Buus i in. "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.
Pełny tekst źródłaChong, Chloe, George Coukos i 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.
Pełny tekst źródłaMellacheruvu, Dattatreya, Rachel Pyke, Charles Abbott, Nick Phillips, Sejal Desai, Rena McClory, John West, Richard Chen i Sean Boyle. "57 Precision neoantigen discovery using novel algorithms and expanded HLA-ligandome datasets". Journal for ImmunoTherapy of Cancer 8, Suppl 3 (listopad 2020): A62. http://dx.doi.org/10.1136/jitc-2020-sitc2020.0057.
Pełny tekst źródłaFoster, Leonard, Queenie Chan, Charlie Kuan i 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 (1.05.2015): 183.13. http://dx.doi.org/10.4049/jimmunol.194.supp.183.13.
Pełny tekst źródłaKochin, Vitaly, Takayuki Kanaseki, Sho Miyamoto, Daichi Morooka, Keigo Moniwa, Yutaro Ikeuchi, Akari Takaya, Yoshihiko Hirohashi, Toshihiko Torigoe i Noriyuki Sato. "Human cancer immunopeptidomics for efficient CTL immunotherapy". Annals of Oncology 26 (listopad 2015): vii30. http://dx.doi.org/10.1093/annonc/mdv424.02.
Pełny tekst źródłaIstrail, S., L. Florea, B. V. Halldorsson, O. Kohlbacher, R. S. Schwartz, V. B. Yap, J. W. Yewdell i 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.
Pełny tekst źródłaGarcia‐Moure, Marc, Andrew G. Gillard, Marta M. Alonso, Juan Fueyo i Candelaria Gomez‐Manzano. "Oncolytic adenoviruses and immunopeptidomics: a convenient marriage". Molecular Oncology 18, nr 4 (kwiecień 2024): 781–84. http://dx.doi.org/10.1002/1878-0261.13648.
Pełny tekst źródłaRozprawy doktorskie na temat "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.
Pełny tekst źródłaRijal, 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.
Pełny tekst źródłaRecent 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], i 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.
Pełny tekst źródłaCzęści książek na temat "Immunopeptidomics"
Gabriel, Wassim, Mario Picciani, Matthew The i Mathias Wilhelm. "Deep Learning-Assisted Analysis of Immunopeptidomics Data". W Methods in Molecular Biology, 457–83. New York, NY: Springer US, 2024. http://dx.doi.org/10.1007/978-1-0716-3646-6_25.
Pełny tekst źródłaBassani-Sternberg, Michal. "Mass Spectrometry Based Immunopeptidomics for the Discovery of Cancer Neoantigens". W 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.
Pełny tekst źródłaMarino, Fabio, Chloe Chong, Justine Michaux i Michal Bassani-Sternberg. "High-Throughput, Fast, and Sensitive Immunopeptidomics Sample Processing for Mass Spectrometry". W 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.
Pełny tekst źródłaElAbd, Hesham, i Andre Franke. "Mass Spectrometry-Based Immunopeptidomics of Peptides Presented on Human Leukocyte Antigen Proteins". W Methods in Molecular Biology, 425–43. New York, NY: Springer US, 2024. http://dx.doi.org/10.1007/978-1-0716-3646-6_23.
Pełny tekst źródłaAlvarez, Iñaki. "Purification of HLA Immunopeptidomes from Human Thymus". W Methods in Molecular Biology, 127–36. New York, NY: Springer US, 2021. http://dx.doi.org/10.1007/978-1-0716-1936-0_10.
Pełny tekst źródłaMarcilla, Miguel. "Immunopeptidomic Analysis of the Phosphopeptidome Displayed by HLA Class I Molecules". W Methods in Molecular Biology, 149–58. New York, NY: Springer US, 2021. http://dx.doi.org/10.1007/978-1-0716-1936-0_12.
Pełny tekst źródłaShao, Wenguang, Etienne Caron, Patrick Pedrioli i Ruedi Aebersold. "The SysteMHC Atlas: a Computational Pipeline, a Website, and a Data Repository for Immunopeptidomic Analyses". W Bioinformatics for Cancer Immunotherapy, 173–81. New York, NY: Springer US, 2020. http://dx.doi.org/10.1007/978-1-0716-0327-7_12.
Pełny tekst źródłaKovalchik, Kevin, David Hamelin i Etienne Caron. "Generation of HLA Allele-Specific Spectral Libraries to Identify and Quantify Immunopeptidomes by SWATH/DIA-MS". W Methods in Molecular Biology, 137–47. New York, NY: Springer US, 2021. http://dx.doi.org/10.1007/978-1-0716-1936-0_11.
Pełny tekst źródłaBhattacharjee, Bedanta, Rajashri Bezbaruah, Damanbhalang Rynjah, Arzoo Newar, Disha Valu, Nasima Ahmed i Prashant Kumar. "Proteogenomics and immunopeptidomics in the development of advanced vaccines". W 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.
Pełny tekst źródłaBarbosa, Camila R. R., i 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". W Vaccinology and Methods in Vaccine Research, 133–61. Elsevier, 2022. http://dx.doi.org/10.1016/b978-0-323-91146-7.00008-1.
Pełny tekst źródłaStreszczenia konferencji na temat "Immunopeptidomics"
Bruno, Peter, Richard Timms, Nouran Abdelfattah, Yumei Leng, Felipe Lelis, Duane Wesemann, Xu Yu i Stephen Elledge. "63 EpiScan: A synthetic biology platform for targeted immunopeptidomics". W SITC 37th Annual Meeting (SITC 2022) Abstracts. BMJ Publishing Group Ltd, 2022. http://dx.doi.org/10.1136/jitc-2022-sitc2022.0063.
Pełny tekst źródłaBassani-Sternberg, Michal, Chloe Chong, Fabio Marino, HuiSong Pak, David Gfeller, Markus Müller i George Coukos. "Abstract PL02-02: Immunopeptidomics: Accelerating the development of personalized cancer immunotherapy". W 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.
Pełny tekst źródłaZöhrer, Benedikt, Ákos Végvári, Johan Grunewald i Åsa M. Wheelock. "Late Breaking Abstract - HLA-DR immunopeptidomics on cells from bronchoalveolar lavage". W ERS International Congress 2023 abstracts. European Respiratory Society, 2023. http://dx.doi.org/10.1183/13993003.congress-2023.pa2220.
Pełny tekst źródłaXue, Liang, Mykola Bordyuh, Djork-Arne Clevert i Robert Stanton. "Benchmarking deep learning models and classical de novo sequencing tools for immunopeptidomics." W 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.
Pełny tekst źródłaSinharay, Ricky, Andreas Neerincx, Arwen Altenburg, Jens Bauer, Mark R. Wills, Julianne S. Walz, William Gelson i Louise H. Boyle. "O02 Discovery of novel HLA class I presented hepatitis B peptides using an immunopeptidomics approach". W 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.
Pełny tekst źródłaMellacheruvu, Datta, Nick Phillips, Gabor Bartha, Jason Harris, Robert Power, Rena McClory, John West, Richard Chen i Sean Michael Boyle. "Abstract 4536: Applying immunopeptidomics and machine learning to improve neoantigen prediction for therapeutic and diagnostic use". W 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.
Pełny tekst źródłaMellacheruvu, Datta, Nick Phillips, Gabor Bartha, Jason Harris, Robert Power, Rena McClory, John West, Richard Chen i Sean Michael Boyle. "Abstract 4536: Applying immunopeptidomics and machine learning to improve neoantigen prediction for therapeutic and diagnostic use". W 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.
Pełny tekst źródłaFonseca, Andre, i Dinler Antunes. "1278 Crossdome: An interactive R package to predict T-cell cross-reactivity risk on immunopeptidomics databases". W SITC 37th Annual Meeting (SITC 2022) Abstracts. BMJ Publishing Group Ltd, 2022. http://dx.doi.org/10.1136/jitc-2022-sitc2022.1278.
Pełny tekst źródłaHernandez, Gabrielle M., Hannah Taylor, Eva K. Verzani, Claudia Ctortecka, David A. Berrios Nolasco, Karl R. Clauser, Namrata D. Udeshi, Jennifer G. Abelin, Elisabet Manasanch i Steven A. Carr. "1040-B Identifying tumor-associated antigens in different stages of multiple myeloma using low input HLA immunopeptidomics". W 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.
Pełny tekst źródłaSchöllhorn, Anna, Thorben Groß, Lucia Torres Fernandez, Jens Bauer, Ana Marcu, Juliane Walz, Reinhild Klein i in. "213 Immunopeptidomics of small cell lung cancer reveals numerous tumor-specific HLA ligands as T cell antigen candidates". W 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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