{"_id":"5c9385f39bcf9d002a9e2bda","project":"5b0e13ffc4664e0003c75a66","version":{"_id":"5b0e13ffc4664e0003c75a67","project":"5b0e13ffc4664e0003c75a66","__v":4,"createdAt":"2015-09-17T16:58:03.490Z","releaseDate":"2015-09-17T16:58:03.490Z","categories":["5b0e13ffc4664e0003c75a68","5b0e13ffc4664e0003c75a69","5b0e13ffc4664e0003c75a6a","5b0e13ffc4664e0003c75a6b","5b0e13ffc4664e0003c75a6c","5b0e13ffc4664e0003c75a6d","5b0e13ffc4664e0003c75a6e","5b0e13ffc4664e0003c75a6f","5b0e13ffc4664e0003c75a70","5b0e13ffc4664e0003c75a71","5b0e13ffc4664e0003c75a72","5b0e13ffc4664e0003c75a73","5b0e13ffc4664e0003c75a74","5b0e13ffc4664e0003c75a75","5b0e13ffc4664e0003c75a76","5b0e13ffc4664e0003c75a77","5b0e13ffc4664e0003c75a89","5b0e13ffc4664e0003c75a8a","5b0e13ffc4664e0003c75a9d","5b0e13ffc4664e0003c75a9e","5b0e13ffc4664e0003c75a9f","5b0e13ffc4664e0003c75aa0","5b0e13ffc4664e0003c75aa1","5b0e13ffc4664e0003c75aa2","5b0e13ffc4664e0003c75aa3","5b0e13ffc4664e0003c75aa4","5b0e13ffc4664e0003c75aa5","5b0e13ffc4664e0003c75aa6","5b0e13ffc4664e0003c75aa7","5b0e13ffc4664e0003c75aa8","5b0e13ffc4664e0003c75aa9","5b0e13ffc4664e0003c75aaa","5b0e13ffc4664e0003c75aab","5b0e13ffc4664e0003c75aac","5b0e13ffc4664e0003c75aad","5b0e13ffc4664e0003c75aae","5b0e13ffc4664e0003c75aaf","5b0e13ffc4664e0003c75ab2","5bb3374f4306ad0003eb18e7","5bbf3c5373e72a000318362b","5bc065567d1cb0000384c649","5cbf19a5f9181f0033fbb968"],"is_deprecated":false,"is_hidden":false,"is_beta":true,"is_stable":true,"codename":"","version_clean":"1.0.0","version":"1.0"},"category":{"_id":"5b0e13ffc4664e0003c75aa5","version":"5b0e13ffc4664e0003c75a67","__v":0,"project":"5b0e13ffc4664e0003c75a66","sync":{"url":"","isSync":false},"reference":false,"createdAt":"2016-06-27T19:40:14.237Z","from_sync":false,"order":9,"slug":"public-projects","title":"PUBLIC PROJECTS"},"user":"566590c83889610d0008a253","__v":0,"parentDoc":null,"metadata":{"title":"","description":"","image":[]},"updates":[],"next":{"pages":[],"description":""},"createdAt":"2019-03-21T12:39:15.599Z","link_external":false,"link_url":"","sync_unique":"","hidden":false,"api":{"settings":"","results":{"codes":[]},"auth":"required","params":[],"url":""},"isReference":false,"order":7,"body":"## The Human Cell Atlas\n\nLaunched in 2016, the [Human Cell Atlas](https://www.humancellatlas.org/) (HCA) is an international collaborative effort to catalog all the cells in the human body in terms of their distinctive patterns of gene expression, physiological states, developmental trajectories, and location to understand how genetic variants impact disease risk, define drug toxicities, discover better therapies, and advance regenerative medicine. [Learn more](https://www.humancellatlas.org/learn-more).\n\n### The Data\nHuman Cell Atlas released the first three single-cell sequencing datasets to the research community as “Human Cell Atlas Preview Datasets”. All datasets presented in this public project are single-cell RNA sequencing datasets (scRNA-seq).\n\nA list of available datasets can be found below:\n\n1.** Census of Immune Cells** - Profiling of immunocytes by single cell RNA-seq for understanding human health and disease.\n2. **Ischaemic Sensitivity of Human Tissue** - Assessment of ischaemic sensitivity of human spleen tissue by single cell RNA-seq.\n3. **Melanoma Infiltration of Stromal and Immune Cells** - Single cell RNA-seq of CD45+ and CD45- cells isolated from tumor and lymph nodes of a mouse model of melanoma.\n\n“Census of Immune Cells” and “Ischaemic Sensitivity of Human Tissue” datasets were generated using 10X Genomics protocols, while “Melanoma Infiltration of Stromal and Immune Cells” dataset is generated using Smart-seq2 protocol.\n\nThese datasets were copied from the [Human Cell Atlas Data Portal](https://preview.data.humancellatlas.org/) to this public project and are available under the project's Files tab in the following folders:\n  * Census_of_Immune_Cells\n  * Ischaemic_Sensitivity_of_Human_Tissue\n  * Melanoma_Infiltration_of_Stromal_and_Immune_Cells \n\n## Access and use the project\n\nTo copy and use (a subset of) the files available in the **Human Cell Atlas Preview Datasets** public project:\n\n1. [Filter](doc:search-files-on-the-platform#section-filter-by-metadata-fields) or [sort](doc:search-files-on-the-platform#section-sort-by-metadata-fields) the files by available metadata fields for that dataset. We’ve also added [tags](doc:search-files-on-the-platform#section-filter-by-tags) to datasets that you can use to filter files. Please find a full list of available tags in the table below.\n2. Once you have the desired subset of the files, select the checkboxes next to them.\n3. Click **Copy** above the files list and select the target project.\n4. Select the destination within the target project (project root or subfolder).\n5. Click **Copy**. The file(s) are copied to your project.\n\nThe following tags have been applied and can be used to filter for samples of interest:\n[block:parameters]\n{\n  \"data\": {\n    \"h-0\": \"Information Category\",\n    \"h-1\": \"Tag\",\n    \"0-0\": \"Species\",\n    \"1-0\": \"Protocol\",\n    \"2-0\": \"Dataset\",\n    \"3-0\": \"Assay\",\n    \"0-1\": \"* \\\"Human\\\"\\n* \\\"Mouse\\\"\",\n    \"1-1\": \"* \\\"10X\\\"\\n* \\\"Smart-seq2\\\"\",\n    \"2-1\": \"* \\\"Census of Immune Cells\\\"\\n* \\\"Ischaemic Sensitivity of Human Tissue\\\"\\n* \\\"Melanoma Infiltration\\\"\",\n    \"3-1\": \"* \\\"RNA-seq\\\"\"\n  },\n  \"cols\": 2,\n  \"rows\": 4\n}\n[/block]\nAlternatively, you can create your own copy of the public project and use the copied project to work with dataset files:\n\n1. On the main menu bar click **Public projects**.\n2. Select **Human Cell Atlas Preview Datasets**.\n[block:image]\n{\n  \"images\": [\n    {\n      \"image\": [\n        \"https://files.readme.io/4346a36-human-cell-atlas-preview-datasets.png\",\n        \"human-cell-atlas-preview-datasets.png\",\n        728,\n        212,\n        \"#efeff0\"\n      ]\n    }\n  ]\n}\n[/block]\n3. Once in the public project, place your mouse cursor over the project title. Project information box is displayed.\n4. In the bottom-right part of the project information box, click **Copy project**.\n5. If needed, change the project name, URL, billing group or [modify execution settings](doc:modify-project-settings#section-modify-execution-settings).\n6. Click **Copy**. You are now taken to your own copy of the **Human Cell Atlas Preview Datasets** public project.\n\n## License\n<img src=\"https://files.readme.io/138df1d-creative_commons.png\" height=\"29px\" width=\"auto\" align=\"inline\" style=\"margin:1px\" />\nEach dataset in this Preview Data Release is licensed under a [Creative Commons Attribution 4.0 International License](https://creativecommons.org/licenses/by/4.0/). This is the license for these preview datasets and the license for other HCA data in the future may differ.","excerpt":"","slug":"human-cell-atlas-preview-datasets","type":"basic","title":"Human Cell Atlas Preview Datasets"}

Human Cell Atlas Preview Datasets


## The Human Cell Atlas Launched in 2016, the [Human Cell Atlas](https://www.humancellatlas.org/) (HCA) is an international collaborative effort to catalog all the cells in the human body in terms of their distinctive patterns of gene expression, physiological states, developmental trajectories, and location to understand how genetic variants impact disease risk, define drug toxicities, discover better therapies, and advance regenerative medicine. [Learn more](https://www.humancellatlas.org/learn-more). ### The Data Human Cell Atlas released the first three single-cell sequencing datasets to the research community as “Human Cell Atlas Preview Datasets”. All datasets presented in this public project are single-cell RNA sequencing datasets (scRNA-seq). A list of available datasets can be found below: 1.** Census of Immune Cells** - Profiling of immunocytes by single cell RNA-seq for understanding human health and disease. 2. **Ischaemic Sensitivity of Human Tissue** - Assessment of ischaemic sensitivity of human spleen tissue by single cell RNA-seq. 3. **Melanoma Infiltration of Stromal and Immune Cells** - Single cell RNA-seq of CD45+ and CD45- cells isolated from tumor and lymph nodes of a mouse model of melanoma. “Census of Immune Cells” and “Ischaemic Sensitivity of Human Tissue” datasets were generated using 10X Genomics protocols, while “Melanoma Infiltration of Stromal and Immune Cells” dataset is generated using Smart-seq2 protocol. These datasets were copied from the [Human Cell Atlas Data Portal](https://preview.data.humancellatlas.org/) to this public project and are available under the project's Files tab in the following folders: * Census_of_Immune_Cells * Ischaemic_Sensitivity_of_Human_Tissue * Melanoma_Infiltration_of_Stromal_and_Immune_Cells ## Access and use the project To copy and use (a subset of) the files available in the **Human Cell Atlas Preview Datasets** public project: 1. [Filter](doc:search-files-on-the-platform#section-filter-by-metadata-fields) or [sort](doc:search-files-on-the-platform#section-sort-by-metadata-fields) the files by available metadata fields for that dataset. We’ve also added [tags](doc:search-files-on-the-platform#section-filter-by-tags) to datasets that you can use to filter files. Please find a full list of available tags in the table below. 2. Once you have the desired subset of the files, select the checkboxes next to them. 3. Click **Copy** above the files list and select the target project. 4. Select the destination within the target project (project root or subfolder). 5. Click **Copy**. The file(s) are copied to your project. The following tags have been applied and can be used to filter for samples of interest: [block:parameters] { "data": { "h-0": "Information Category", "h-1": "Tag", "0-0": "Species", "1-0": "Protocol", "2-0": "Dataset", "3-0": "Assay", "0-1": "* \"Human\"\n* \"Mouse\"", "1-1": "* \"10X\"\n* \"Smart-seq2\"", "2-1": "* \"Census of Immune Cells\"\n* \"Ischaemic Sensitivity of Human Tissue\"\n* \"Melanoma Infiltration\"", "3-1": "* \"RNA-seq\"" }, "cols": 2, "rows": 4 } [/block] Alternatively, you can create your own copy of the public project and use the copied project to work with dataset files: 1. On the main menu bar click **Public projects**. 2. Select **Human Cell Atlas Preview Datasets**. [block:image] { "images": [ { "image": [ "https://files.readme.io/4346a36-human-cell-atlas-preview-datasets.png", "human-cell-atlas-preview-datasets.png", 728, 212, "#efeff0" ] } ] } [/block] 3. Once in the public project, place your mouse cursor over the project title. Project information box is displayed. 4. In the bottom-right part of the project information box, click **Copy project**. 5. If needed, change the project name, URL, billing group or [modify execution settings](doc:modify-project-settings#section-modify-execution-settings). 6. Click **Copy**. You are now taken to your own copy of the **Human Cell Atlas Preview Datasets** public project. ## License <img src="https://files.readme.io/138df1d-creative_commons.png" height="29px" width="auto" align="inline" style="margin:1px" /> Each dataset in this Preview Data Release is licensed under a [Creative Commons Attribution 4.0 International License](https://creativecommons.org/licenses/by/4.0/). This is the license for these preview datasets and the license for other HCA data in the future may differ.