Single cell T cell Landscape and T Cell Receptor Repertoire Profiling of AML in Context of PD-1 Blockade Therapy

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Dataset ID	Description	Technology	Samples
EGAD00001007671	Paired-end BAM files with associated index files of 15 AML samples were generated using Agilent SureSelect XT library capture system using a custom panel as described before Takahashi et al Blood 2018. Libraries were sequenced using Illumina HiSeq 2500.	Illumina HiSeq 2500	15
EGAD00001007672	Pared-end fastq files of 22 AML and 2 normal bone marrow samples were generated using 10x Genomics 5' single cell RNA sequencing following manufacturer's protocol (CG000086 User Guide RevG) for chemistry version 1.0 and targeting 10000 cells per sample. Libraries were sequenced using Illumina HiSeq 4000 using recommended cycling parameters.	Illumina HiSeq 4000	24
EGAD00001007673	Paired-end fastq files of 22 AML and 2 normal bone marrow samples were generated using 10x Genomics single cell BCR sequencing following manufacturer's protocol (CG000086 User Guide RevG) for chemistry version 1.0 and targeting 10000 cells per sample. Libraries were sequenced using Illumina NovaSeq 6000 using recommended cycling parameters.	Illumina NovaSeq 6000	24
EGAD00001007674	Paired-end fastq files of 22 AML and 2 normal bone marrow samples were generated using 10x Genomics single cell TCR sequencing following manufacturer's protocol (CG000086 User Guide RevG) for chemistry version 1.0 and targeting 10000 cells per sample. Libraries were sequenced using Illumina NovaSeq 6000 using recommended cycling parameters.	Illumina NovaSeq 6000	24
EGAD00001007675	Paired-end fastq files of 22 AML and 2 normal bone marrow samples were generated using 10x Genomics single cell ATAC sequencing following manufacturer's protocol (CG000168 User Guide RevB) for chemistry version 1.0 and targeting 10000 nuclei per sample. Libraries were sequenced using Illumina HiSeq4000 using recommended cycling parameters.	Illumina HiSeq 4000	24

Publications	Citations
Single cell T cell landscape and T cell receptor repertoire profiling of AML in context of PD-1 blockade therapy. Abbas HA, Hao D, Tomczak K, Barrodia P, Im JS, Reville PK, Alaniz Z, Wang W, Wang R, Wang F, Al-Atrash G, Takahashi K, Ning J, Ding M, Beird HC, Mathews JT, Little L, Zhang J, Basu S, Konopleva M, Marques-Piubelli ML, Solis LM, Parra ER, Lu W, Tamegnon A, Garcia-Manero G, Green MR, Sharma P, Allison JP, Kornblau SM, Rai K, Wang L, Daver N, Futreal A. Nat Commun 12: 2021 6071	36
Single-cell chromatin accessibility profiling of acute myeloid leukemia reveals heterogeneous lineage composition upon therapy-resistance. Fan H, Wang F, Zeng A, Murison A, Tomczak K, Hao D, Jelloul FZ, Wang B, Barrodia P, Liang S, Chen K, Wang L, Zhao Z, Rai K, Jain AK, Dick J, Daver N, Futreal A, Abbas HA. Commun Biol 6: 2023 765	1

Publications

Citations

Single cell T cell landscape and T cell receptor repertoire profiling of AML in context of PD-1 blockade therapy.
Abbas HA, Hao D, Tomczak K, Barrodia P, Im JS, Reville PK, Alaniz Z, Wang W, Wang R, Wang F, Al-Atrash G, Takahashi K, Ning J, Ding M, Beird HC, Mathews JT, Little L, Zhang J, Basu S, Konopleva M, Marques-Piubelli ML, Solis LM, Parra ER, Lu W, Tamegnon A, Garcia-Manero G, Green MR, Sharma P, Allison JP, Kornblau SM, Rai K, Wang L, Daver N, Futreal A. Nat Commun 12: 2021 6071

Single-cell chromatin accessibility profiling of acute myeloid leukemia reveals heterogeneous lineage composition upon therapy-resistance.
Fan H, Wang F, Zeng A, Murison A, Tomczak K, Hao D, Jelloul FZ, Wang B, Barrodia P, Liang S, Chen K, Wang L, Zhao Z, Rai K, Jain AK, Dick J, Daver N, Futreal A, Abbas HA. Commun Biol 6: 2023 765