Data · dataset · 2023
Highly multiplexed spatial analysis identifies tissue-resident memory T cells as drivers of ulcerative and immune checkpoint inhibitor induced colitis
Listed in IISH Dataverse
This paper discusses imaging mass cytometry (IMC) data and serum multiplex proteomic (Olink) data that were generated in respectively patients with immune checkpoint inhibitor (ICI) induced or ulcerative colitis and ICI-treated patients with or without immune-related adverse events (irAEs) including colitis.
Description
R script for data normalization, scaling, cell type annotation and analysis is publicly available at Zenodo (DOI: 10.5281/zenodo.7858216).
In this Verse, raw data and corresponding meta data as outlined below have been deposited. Type of dataset: restricted data (template 3b) =============================== Imaging mass cytometry data (after single-cell segmentation) -- segmented_IMC_data.Rda (restricted) This file contains the raw single-cell segmented channel data for all IMC channels including geometric cell data. -- IMC_clinical_metadata.csv (restricted) This file contains clinical metadata for the subjects included in segmented_IMC_data.Rda -- IMC_clinical_metadata_codebook.csv (unrestricted) This file contains codebook with description of all parameters included IMC_clinical_metadata.csv Serum multiplexed proteomic (Olink) data -- Olink_data.csv (restricted) This file contains raw protein data (serum protein levels) and clinical metadata. -- Olink_data_codebook.csv (unrestricted) This file contains codebook with description of all parameters included Olink_data.csv - Patient informed consent form -- PIF_v7_UNICIT.pdf (restricted) This file contains the original informed consent form that relates to the UNICIT biobank study as described in the original manuscript.
Links
Where it is published
- Dataverse dataset page dataverse.nl/dataset.xhtml?persistentId=doi%3A10.34894%2FN84F12 ↗
landing page · from datasets iisg amsterdam
- DOI doi.org/10.34894/n84f12 ↗
DOI / persistent id · from datasets iisg amsterdam
Catalogue records · 1
- Dataverse API dataverse.nl/api/datasets/:persistentId/?persistentId=doi%3A10.34894%2FN84F… ↗
metadata API · from datasets iisg amsterdam
Topics
- Stated by source
- Medicine, Health and Life Sciences
- From keywords
- Life Sciences · Medicine & Health
- Inferred from text
- Imaging 75% · Oncology and carcinogenesis 72%
Provenance · 1 source records, 11 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| IISH Dataverse | doi:10.34894/N84F12 | 10 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[field].anzsrc:group:3211 | enrichment · datasets iisg amsterdam | taxonomy-embedding@1.1.0 | title+keywords+description (72%) |
| concepts[field].dataverse_subject:medicine-health-and-life-sciences | source · datasets iisg amsterdam | connector:datasets_iisg_amsterdam@1.0.0 | /subjects |
| concepts[field].local:field:life-sciences | mapping · datasets iisg amsterdam | connector:datasets_iisg_amsterdam@1.0.0 | /subjects |
| concepts[field].local:field:medicine-health | mapping · datasets iisg amsterdam | connector:datasets_iisg_amsterdam@1.0.0 | /subjects |
| concepts[modality].local:modality:imaging | enrichment · datasets iisg amsterdam | keyword-concept-rules@1.0.0 | title+description (75%) |
| created_date | source · datasets iisg amsterdam | connector:datasets_iisg_amsterdam@1.0.0 | |
| description | source · datasets iisg amsterdam | connector:datasets_iisg_amsterdam@1.0.0 | /description |
| publication_date | source · datasets iisg amsterdam | connector:datasets_iisg_amsterdam@1.0.0 | |
| title | source · datasets iisg amsterdam | connector:datasets_iisg_amsterdam@1.0.0 | /name |
| updated_date | source · datasets iisg amsterdam | connector:datasets_iisg_amsterdam@1.0.0 | |
| version_label | source · datasets iisg amsterdam | connector:datasets_iisg_amsterdam@1.0.0 |