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Status |
Public on Sep 21, 2018 |
Title |
Human Bone Marrow Assessment by Single Cell RNA Sequencing, Mass Cytometry and Flow Cytometry [scRNA] |
Organism |
Homo sapiens |
Experiment type |
Expression profiling by high throughput sequencing
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Summary |
New techniques for single-cell analysis have led to insights into hematopoiesis and the immune system, but the ability of these techniques to cross-validate and reproducibly identify the biological variation in diverse human samples is currently unproven. We therefore performed a comprehensive assessment of human bone marrow cells using both single-cell RNA sequencing and multiparameter flow cytometry from twenty healthy adult human donors across a broad age range. These data characterize variation between healthy donors as well as age-associated changes in cell population frequencies. Direct comparison of techniques revealed discrepancy in the quantification of T lymphocyte and natural killer cell populations. Orthogonal validation of immunophenotyping using mass cytometry demonstrated good correlation with flow cytometry. Technical replicates using single-cell RNA sequencing matched robustly, while biological replicates showed variation. Given the increasing use of single-cell technologies in translational research, this resource serves as an important reference dataset and highlights opportunities for further refinement.
[Funding source] Project Number: 1ZIAHL006163-05 Contact PI / Project Leader: HOURIGAN, CHRISTOPHER Title: DETECTION, PREVENTION AND TREATMENT OF ACUTE MYELOID LEUKEMIA (AML) RELAPSE. Awardee Organization: NATIONAL HEART, LUNG, AND BLOOD INSTITUTE
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Overall design |
Using standard operating procedures, mononuclear cells from 20 healthy donors' bone marrow aspirates were isolated using Ficoll density gradient separation and cryopreserved in 90% FBS/ 10% DMSO for storage in 72 liquid nitrogen. scRNAseq was performed using 10X Genomics Single Cell 3’ Solution, version 2 according to manufacturer’s instructions (protocol rev A). Libraries were sequenced on HiSeq3000. Droplet-based scRNAseq of bone marrow mononuclear cells for all donor samples was performed with goal minimum sequencing depth of 50,000 reads/cell and detected a mean of 880 genes/cells (range 575-1,390 gene/cell).
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Web link |
https://doi.org/10.1101/416750
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Contributor(s) |
Oetjen KA, Gui G, Hourigan CS |
Citation(s) |
30518681 |
Submission date |
Sep 19, 2018 |
Last update date |
Dec 23, 2018 |
Contact name |
Christopher Hourigan |
E-mail(s) |
christopher.hourigan@nih.gov
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Phone |
3014510257
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Organization name |
National Heart Lung and Blood Institute, NIH
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Department |
Hematology Branch
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Lab |
Myeloid Malignancies
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Street address |
Room 10CRC 5-5130, 10 Center Drive
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City |
Bethesda |
State/province |
Maryland |
ZIP/Postal code |
20892 |
Country |
USA |
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Platforms (1) |
GPL21290 |
Illumina HiSeq 3000 (Homo sapiens) |
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Samples (25)
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This SubSeries is part of SuperSeries: |
GSE120446 |
Human Bone Marrow Assessment by Single Cell RNA Sequencing, Mass Cytometry and Flow Cytometry |
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Relations |
BioProject |
PRJNA492227 |
SRA |
SRP162214 |