{ "access": { "embargo": { "active": false, "reason": null }, "files": "public", "record": "public", "status": "open" }, "created": "2018-11-22T19:16:10.804451+00:00", "custom_fields": {}, "deletion_status": { "is_deleted": false, "status": "P" }, "files": { "count": 1, "enabled": true, "entries": { "mtechumanAll.trim.R1rc.33.jf": { "checksum": "md5:eb90457ae13711522eb548d4154de2a7", "ext": "jf", "id": "515ff0b0-15e7-463a-95e8-a081ac79c380", "key": "mtechumanAll.trim.R1rc.33.jf", "metadata": null, "mimetype": "application/octet-stream", "size": 45251855019 } }, "order": [], "total_bytes": 45251855019 }, "id": "1484490", "is_draft": false, "is_published": true, "links": { "access": "https://zenodo.org/api/records/1484490/access", "access_links": "https://zenodo.org/api/records/1484490/access/links", "access_request": "https://zenodo.org/api/records/1484490/access/request", "access_users": "https://zenodo.org/api/records/1484490/access/users", "archive": "https://zenodo.org/api/records/1484490/files-archive", "archive_media": "https://zenodo.org/api/records/1484490/media-files-archive", "communities": "https://zenodo.org/api/records/1484490/communities", "communities-suggestions": "https://zenodo.org/api/records/1484490/communities-suggestions", "doi": "https://doi.org/10.5281/zenodo.1484490", "draft": "https://zenodo.org/api/records/1484490/draft", "files": "https://zenodo.org/api/records/1484490/files", "latest": "https://zenodo.org/api/records/1484490/versions/latest", "latest_html": "https://zenodo.org/records/1484490/latest", "media_files": "https://zenodo.org/api/records/1484490/media-files", "parent": "https://zenodo.org/api/records/1484489", "parent_doi": "https://zenodo.org/doi/10.5281/zenodo.1484489", "parent_html": "https://zenodo.org/records/1484489", "requests": "https://zenodo.org/api/records/1484490/requests", "reserve_doi": "https://zenodo.org/api/records/1484490/draft/pids/doi", "self": "https://zenodo.org/api/records/1484490", "self_doi": "https://zenodo.org/doi/10.5281/zenodo.1484490", "self_html": "https://zenodo.org/records/1484490", "self_iiif_manifest": "https://zenodo.org/api/iiif/record:1484490/manifest", "self_iiif_sequence": "https://zenodo.org/api/iiif/record:1484490/sequence/default", "versions": "https://zenodo.org/api/records/1484490/versions" }, "media_files": { "count": 0, "enabled": false, "entries": {}, "order": [], "total_bytes": 0 }, "metadata": { "additional_descriptions": [ { "description": "k-mer database (k=33 nucleotides) generated from concatenated RNA-sequencing reads from human TEC (n=2) and mTEC (n=4), which was used in the following publication Laumont C.M., Vincent K. et al. Sci Trans Med (2018). If you use the data, please cite this paper.\n\nFor methodological details, see section Study design of the Materials and Methods and sections Human TEC and mTEC extraction, RNA extraction, library preparation and sequencing and Generation of cancer and normal k-mer databases of the Supplementary Materials and Methods of the article cited above.\n\nFor any questions or for assistance, please contact us using the following email address: perreault.lab@iric.ca", "type": { "id": "notes", "title": { "de": "Anmerkungen", "en": "Notes" } } } ], "creators": [ { "affiliations": [ { "name": "IRIC, Universit\u00e9 de Montr\u00e9al" } ], "person_or_org": { "family_name": "C\u00e9line M. Laumont", "name": "C\u00e9line M. Laumont", "type": "personal" } }, { "affiliations": [ { "name": "IRIC, Universit\u00e9 de Montr\u00e9al" } ], "person_or_org": { "family_name": "Krystel Vincent", "name": "Krystel Vincent", "type": "personal" } }, { "affiliations": [ { "name": "IRIC, Universit\u00e9 de Montr\u00e9al" } ], "person_or_org": { "family_name": "Leslie Hesnard", "name": "Leslie Hesnard", "type": "personal" } }, { "affiliations": [ { "name": "IRIC, Universit\u00e9 de Montr\u00e9al" } ], "person_or_org": { "family_name": "\u00c9ric Audemard", "name": "\u00c9ric Audemard", "type": "personal" } }, { "affiliations": [ { "name": "IRIC, Universit\u00e9 de Montr\u00e9al" } ], "person_or_org": { "family_name": "\u00c9ric Bonneil", "name": "\u00c9ric Bonneil", "type": "personal" } }, { "affiliations": [ { "name": "IRIC, Universit\u00e9 de Montr\u00e9al" } ], "person_or_org": { "family_name": "Jean-Philippe Laverdure", "name": "Jean-Philippe Laverdure", "type": "personal" } }, { "affiliations": [ { "name": "IRIC, Universit\u00e9 de Montr\u00e9al" } ], "person_or_org": { "family_name": "Patrick Gendron", "name": "Patrick Gendron", "type": "personal" } }, { "affiliations": [ { "name": "IRIC, Universit\u00e9 de Montr\u00e9al" } ], "person_or_org": { "family_name": "Mathieu Courcelles", "name": "Mathieu Courcelles", "type": "personal" } }, { "affiliations": [ { "name": "IRIC, Universit\u00e9 de Montr\u00e9al" } ], "person_or_org": { "family_name": "Marie-Pierre Hardy", "name": "Marie-Pierre Hardy", "type": "personal" } }, { "affiliations": [ { "name": "IRIC, Universit\u00e9 de Montr\u00e9al" } ], "person_or_org": { "family_name": "Caroline C\u00f4t\u00e9", "name": "Caroline C\u00f4t\u00e9", "type": "personal" } }, { "affiliations": [ { "name": "IRIC, Universit\u00e9 de Montr\u00e9al" } ], "person_or_org": { "family_name": "Chantal Durette", "name": "Chantal Durette", "type": "personal" } }, { "affiliations": [ { "name": "IRIC, Universit\u00e9 de Montr\u00e9al" } ], "person_or_org": { "family_name": "Charles St-Pierre", "name": "Charles St-Pierre", "type": "personal" } }, { "affiliations": [ { "name": "IRIC, Universit\u00e9 de Montr\u00e9al" } ], "person_or_org": { "family_name": "Mohamed Benhammadi", "name": "Mohamed Benhammadi", "type": "personal" } }, { "affiliations": [ { "name": "IRIC, Universit\u00e9 de Montr\u00e9al" } ], "person_or_org": { "family_name": "Jo\u00ebl Lanoix", "name": "Jo\u00ebl Lanoix", "type": "personal" } }, { "affiliations": [ { "name": "CHU Ste-Justine, Universit\u00e9 de Montr\u00e9al" } ], "person_or_org": { "family_name": "Suzanne Vobecky", "name": "Suzanne Vobecky", "type": "personal" } }, { "affiliations": [ { "name": "CHU Ste-Justine, Universit\u00e9 de Montr\u00e9al" } ], "person_or_org": { "family_name": "Elie Haddad", "name": "Elie Haddad", "type": "personal" } }, { "affiliations": [ { "name": "IRIC, Universit\u00e9 de Montr\u00e9al" } ], "person_or_org": { "family_name": "S\u00e9bastien Lemieux", "name": "S\u00e9bastien Lemieux", "type": "personal" } }, { "affiliations": [ { "name": "IRIC, Universit\u00e9 de Montr\u00e9al" } ], "person_or_org": { "family_name": "Pierre Thibault", "name": "Pierre Thibault", "type": "personal" } }, { "affiliations": [ { "name": "IRIC, Universit\u00e9 de Montr\u00e9al" } ], "person_or_org": { "family_name": "Claude Perreault", "name": "Claude Perreault", "type": "personal" } } ], "description": "
Tumor-specific antigens (TSAs) represent ideal targets for cancer immunotherapy, but few have been identified thus far. We therefore developed a proteogenomic approach to enable the high-throughput discovery of TSAs coded by potentially all genomic regions. In two murine cancer cell lines and seven human primary tumors, we identified a total of 40 TSAs, about 90% of which derived from allegedly non-coding regions and would have been missed by standard exome-based approaches. Moreover, the majority of these TSAs derived from non-mutated yet aberrantly expressed transcripts (such as endogenous retroelements) that could be shared by multiple tumor types. In mice, the efficacy of TSA vaccination was influenced by two parameters that can be estimated in humans and could serve for TSA prioritization in clinical studies: TSA expression and the frequency of TSA-responsive T cells in the pre-immune repertoire. In conclusion, the strategy reported herein could considerably facilitate the identification and prioritization of actionable human TSAs.
", "languages": [ { "id": "eng", "title": { "en": "English" } } ], "publication_date": "2018-11-22", "publisher": "Zenodo", "resource_type": { "id": "dataset", "title": { "de": "Datensatz", "en": "Dataset" } }, "rights": [ { "description": { "en": "" }, "icon": "cc-by-nc-icon", "id": "cc-by-nc-4.0", "props": { "scheme": "spdx", "url": "https://creativecommons.org/licenses/by-nc/4.0/legalcode" }, "title": { "en": "Creative Commons Attribution Non Commercial 4.0 International" } } ], "subjects": [ { "subject": "RNA-sequencing" }, { "subject": "k-mers" }, { "subject": "Mass spectrometry" }, { "subject": "Identification of tumor-specific antigens" }, { "subject": "Thymic epithelial cells" }, { "subject": "MHC class I" } ], "title": "Non-coding regions are the main source of targetable tumor-specific antigens \u2013 DATASETS (k=33)" }, "parent": { "access": { "owned_by": { "user": 55383 } }, "communities": {}, "id": "1484489", "pids": { "doi": { "client": "datacite", "identifier": "10.5281/zenodo.1484489", "provider": "datacite" } } }, "pids": { "doi": { "client": "datacite", "identifier": "10.5281/zenodo.1484490", "provider": "datacite" }, "oai": { "identifier": "oai:zenodo.org:1484490", "provider": "oai" } }, "revision_id": 6, "stats": { "all_versions": { "data_volume": 666650328139908.0, "downloads": 14732, "unique_downloads": 1066, "unique_views": 573, "views": 607 }, "this_version": { "data_volume": 666650328139908.0, "downloads": 14732, "unique_downloads": 1066, "unique_views": 572, "views": 606 } }, "status": "published", "updated": "2020-01-24T19:26:05.569824+00:00", "versions": { "index": 1, "is_latest": true } }