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HTAN-TNP-SARDANA: DICOM converted cyclic immunofluorescence and H&E whole slide images from the HTAN SARDANA Trans-Network Project

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DataCite Commons2026-05-06 更新2026-05-07 收录
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https://zenodo.org/doi/10.5281/zenodo.18488944
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This dataset corresponds to a collection of images and/or image-derived data available from the National Cancer Institute Imaging Data Commons (IDC). This dataset was converted into DICOM representation and ingested by the IDC team. You can explore and visualize the corresponding images using the IDC Portal. You can use the manifests included in this Zenodo record to download the collection following the Download instructions below. The NCI Human Tumor Atlas Network (HTAN) is a multi-institutional effort to collect, analyze, and publish a database of multi-omic data for a variety of human cancers. The Shared Repositories, Data, Analysis and Access (SARDANA) trans-network project (TNP) was designed to optimize the repeatability, interpretability, and accessibility of data for the atlas. The SARDANA TNP distributed a set of common tissue samples to participating HTAN centers, allowing them to generate a spatial cell census using each center's imaging method of choice. Data generated during the TNP was used to stress-test data standards and informatics systems and compare results across experimental approaches and organizations. The main sample imaged in this study is tissue resected from a 69-year-old man with a recent history of both cutaneous melanoma and gastric marginal zone lymphoma of MALT type. He presented to medical attention following recurrent syncopal episodes and falls secondary to anemia and orthostatic hypotension. A colonoscopy identified a large mass in the right colon. Resection of a portion of the right colon and terminal ileum revealed a 6.2 cm hard, exophytic mass in the cecum immediately adjacent to the ileocecal valve. In the area of the specimen imaged, the tumor has invaded the muscularis propria of the bowel wall into the peri-colonic epithelial tissue. There is also a region of neighboring normal epithelium. The specimen underwent FFPE processing (formalin fixation and paraffin embedding) followed by serial sectioning into a collection of 5 um-thick samples for imaging. This dataset comprises one section imaged with H&E (hematoxylin and eosin brightfield imaging) and an adjacent section imaged with CyCIF (cyclic immunofluorescence). The CyCIF section was imaged with approximately 20 markers targeting immune (CD4, CD8a, CD20, CD31, CD45, CD68, CD163, FOXP3, PD1, PDL1), epithelial (E-Cadherin, CDX2, Cytokeratin), stromal (Smooth Muscle Actin, Vimentin, Desmin, Collagen IV, Lamin), and proliferation (KI67, PCNA) markers, using Bisbenzimide (DAPI), Alexa Fluor 488, and Alexa Fluor 647 fluorophores. The DICOM collection contains 3 series: 240 CyCIF slide microscopy (SM) instances, 6 H&E SM instances, and 19 presentation state (PR) instances, totaling 265 DICOM instances. The original OME-TIFF images were converted to DICOM format using the conversion tools developed by the IDC team, available at idc-wsi-conversion. Images were processed using the MCMICRO pipeline. Protocols used in this study are available at protocols.io: CHTN tissue procurement and fixation, CHTN tissue cryopreservation. Files included A manifest file's name indicates the IDC data release in which a version of collection data was first introduced. For example, htan_tnp_sardana-idc_v22-aws.s5cmd corresponds to the contents of the htan_tnp_sardana collection introduced in IDC data release v22. htan_tnp_sardana-idc_v24-aws.s5cmd: AWS download manifest htan_tnp_sardana-idc_v24-gcs.s5cmd: GCS download manifest htan_tnp_sardana-idc_v24-dcf.dcf: DCF download manifest Manifest files ending in -aws.s5cmd reference files in Amazon Web Services (AWS) buckets; -gcs.s5cmd reference files in Google Cloud Storage. The actual files are identical and mirrored between AWS and GCP. Download instructions Each manifest file includes instructions in its header on how to download the included files. To download the files using .s5cmd manifests: Install idc-index: pip install --upgrade idc-index Download the files referenced by a manifest included in this dataset: idc download manifest.s5cmd To download files using a .dcf manifest, see the manifest header. For questions or help, contact support@canceridc.dev or post on the IDC Forum.
提供机构:
Zenodo
创建时间:
2026-05-06
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