Microenvironment subtypes and association with tumor cell mutations and antigen expression in follicular lymphoma

Follicular lymphoma (FL) is a B-cell lymphoma with a complex tumor microenvironment that is rich in non-malignant immune cells. We applied single-cell RNA-sequencing to characterize the immune microenvironment of FL. This provides a classification framework of the FL microenvironment, their association with FL genotypes and antigen presentation, and informs different potential immunotherapeutic strategies.

Type: Other
Archiver: European Genome-Phenome Archive (EGA)

1 Dataset 3 Publications

Click on a Dataset ID in the table below to learn more, and to find out who to contact about access to these data

Dataset ID	Description	Technology	Samples
EGAD00001008595	Fastq files for the single cell RNAseq data of Follicular lymphoma study. This dataset includes the paired single cell RNA sequencing data for 23 samples.	Illumina HiSeq 4000	23

Publications	Citations
Follicular Lymphoma Microenvironment Characteristics Associated with Tumor Cell Mutations and MHC Class II Expression. Han G, Deng Q, Marques-Piubelli ML, Dai E, Dang M, Ma MCJ, Li X, Yang H, Henderson J, Kudryashova O, Meerson M, Isaev S, Kotlov N, Nomie KJ, Bagaev A, Parra ER, Solis Soto LM, Parmar S, Hagemeister FB, Ahmed S, Ahmed S, Iyer SP, Samaniego F, Steiner R, Fayad L, Lee H, Fowler NH, Flowers CR, Strati P, Westin JR, Neelapu SS, Nastoupil LJ, Vega F, Wang L, Green MR. Blood Cancer Discov 3: 2022 428-443	32
Pan-cancer T cell atlas links a cellular stress response state to immunotherapy resistance. Chu Y, Dai E, Li Y, Han G, Pei G, Ingram DR, Thakkar K, Qin JJ, Dang M, Le X, Hu C, Deng Q, Sinjab A, Gupta P, Wang R, Hao D, Peng F, Yan X, Liu Y, Song S, Zhang S, Heymach JV, Reuben A, Elamin YY, Pizzi MP, Lu Y, Lazcano R, Hu J, Li M, Curran M, Futreal A, Maitra A, Jazaeri AA, Ajani JA, Swanton C, Cheng XD, Abbas HA, Gillison M, Bhat K, Lazar AJ, Green M, Litchfield K, Kadara H, Yee C, Wang L. Nat Med 29: 2023 1550-1562	66
Detection of PatIent-Level distances from single cell genomics and pathomics data with Optimal Transport (PILOT). Joodaki M, Shaigan M, Parra V, Bülow RD, Kuppe C, Hölscher DL, Cheng M, Nagai JS, Goedertier M, Bouteldja N, Tesar V, Barratt J, Roberts IS, Coppo R, Kramann R, Boor P, Costa IG. Mol Syst Biol 20: 2024 57-74	7