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| Status |
Public on Oct 25, 2019 |
| Title |
Single-cell, multi-omic analysis identifies regulatory programs in mixed phenotype acute leukemia |
| Organism |
Homo sapiens |
| Experiment type |
Genome binding/occupancy profiling by high throughput sequencing
Other
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| Summary |
We present a single-cell framework that integrates highly multiplexed protein quantification, transcriptome profiling, and chromatin accessibility analysis. Using this approach, we establish a normal epigenetic baseline for healthy blood development, which we then use to deconvolve aberrant molecular features within blood from mixed-phenotype acute leukemia (MPAL) patients.
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| Overall design |
scATAC-seq and CITE-seq performed on healthy bone marrow, CD34+ bone marrow, peripheral blood, and MPAL donors
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| Contributor(s) |
Granja JM |
| Citation(s) |
31792411, 37597510 |
| Submission date |
Oct 24, 2019 |
| Last update date |
Aug 28, 2023 |
| Contact name |
Jeffrey Michael Granja |
| E-mail(s) |
jgranja@stanford.edu
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| Phone |
7147853914
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| Organization name |
Stanford University
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| Department |
Genetics
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| Lab |
Greenleaf
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| Street address |
87 Hulme Ct Apt 101
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| City |
Stanford |
| State/province |
California |
| ZIP/Postal code |
94305 |
| Country |
USA |
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| Platforms (2) |
| GPL21697 |
NextSeq 550 (Homo sapiens) |
| GPL24676 |
Illumina NovaSeq 6000 (Homo sapiens) |
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| Samples (38)
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| Relations |
| BioProject |
PRJNA579391 |
| SRA |
SRP226885 |
| Supplementary file |
Size |
Download |
File type/resource |
| GSE139369_RAW.tar |
20.4 Gb |
(http)(custom) |
TAR (of RDS, TSV) |
SRA Run Selector |
| Raw data are available in SRA |
| Processed data provided as supplementary file |
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