Accompanying dataset for: A Multi-scale, Multiomic Atlas of Human Normal and Follicular Lymphoma Lymph Nodes

Accompanying dataset for: A Multi-scale, Multiomic Atlas of Human Normal and Follicular Lymphoma Lymph Nodes

This dataset accompanies the manuscript titled “A Multi-scale, Multiomic Atlas of Human Normal and Follicular Lymphoma Lymph Nodes”, A. Radtke et al., bioRxiv, 2022. [doi: 10.1101/2022.06.03.494716] The dataset contains the processed scRNA-seq information from human lymph nodes, both normal and from...

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Hauptverfasser: Radtke Andrea, J., Ekaterina, Postovalova, Arina, Varlamova, Alexander, Bagaev, Maria, Sorokina, Olga, Kudryashova, Mark, Meerson, Margarita, Polyakova, Ilia, Galkin, Viktor, Svekolkin, Sergey, Isaev, Perelman Grigory, Yaroslav, Lozinsky, Ziv, Yaniv, Lowekamp Bradley, C., Emily, Speranza, Li, Yao, Pittaluga Stefania, Shaffer III Arthur, L., Danny, Jonigk, Phelan James, D., Davies-Hill Theresa, Da Wei, Huang, Pavel, Ovcharov, Nomi Krystle, Ekaterina, Nuzhdina, Nikita, Kotlov, Ravshan, Ataullakhanov, Fowler Nathan, Kelly Michael, C., Jagan, Muppidi, Jeremy, Davis, Hernandez Jonathan, M., Wilson Wyndham, H., Jaffe Elaine, Staudt Louis, M., Roschewski Mark, Germain Ronald, N.
Format: Dataset
Sprache:eng
Schlagworte:
human reference atlas, follicular lymphoma, multiplexed antibody-based imaging, RNA-seq, single-cell proteogenomics, tumor heterogeneity, tumor microenvironment, multiomic profiling
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Zusammenfassung:This dataset accompanies the manuscript titled “A Multi-scale, Multiomic Atlas of Human Normal and Follicular Lymphoma Lymph Nodes”, A. Radtke et al., bioRxiv, 2022. [doi: 10.1101/2022.06.03.494716] The dataset contains the processed scRNA-seq information from human lymph nodes, both normal and from Follicular Lymphoma (FL) patients analyzed in this work as a Seurat object. The scRNA-seq information was saved in the rds format for viewing and analysis using the R programming language (to load it in R: scrna_seq_data
DOI:10.5281/zenodo.6536723