ScRNA-seq of 6 human FL
Follicular lymphoma (FL) is an indolent cancer of mature B-cells but carries increased risk of transformation to a more aggressive histology over time. We present here comprehensive profiling both tumor and immune compartments in 6 diagnostic FL biopsies by single-cell RNA sequencing. This confirmed results from 155 FL tumors characterized by mass cytometry (CyTOF) which revealed two distinct evolutionary trajectories with disparate risk of transformation and alternate biologies.
- 6 samples
- DAC: EGAC00000000011
- NRES DUO:0000004 (version: 2019-01-07)no restrictionThis data use permission indicates there is no restriction on use.
- RS DUO:0000012 (version: 2021-02-23)research specific restrictionsThis data use modifier indicates that use is limited to studies of a certain research type.
- TS DUO:0000025 (version: 2021-02-23)time limit on useThis data use modifier indicates that use is approved for a specific number of months.
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Access to this data is controlled. There are a number of steps that a researcher must take to obtain access to this data, including execution of a Data Access Agreement between the institutions. The process is overseen by the Technology Development Office; please contact our general email address TDOadmin@phsa.ca. Please only click the "request data" button on the EGA website after a Data Access Agreement is fully executed.
Studies are experimental investigations of a particular phenomenon, e.g., case-control studies on a particular trait or cancer research projects reporting matching cancer normal genomes from patients.
Study ID | Study Title | Study Type |
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Other |
This table displays only public information pertaining to the files in the dataset. If you wish to access this dataset, please submit a request. If you already have access to these data files, please consult the download documentation.
ID | File Type | Size | Located in | |
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EGAF00005295278 | 1620793623376 | 17.4 GB | ||
EGAF00005295279 | 1620793502888 | 19.1 GB | ||
EGAF00005295280 | 1620793983511 | 21.3 GB | ||
EGAF00005295281 | 1620794102691 | 21.5 GB | ||
EGAF00005295282 | 1620793682710 | 17.7 GB | ||
EGAF00005295283 | 1620793983511 | 19.6 GB | ||
6 Files (116.6 GB) |