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Human bone marrow assessment by single-cell RNA sequencing, mass cytometry, and flow cytometry

  • Karolyn A. Oetjen
  • , Katherine E. Lindblad
  • , Meghali Goswami
  • , Gege Gui
  • , Pradeep K. Dagur
  • , Catherine Lai
  • , Laura W. Dillon
  • , J. Philip McCoy
  • , Christopher S. Hourigan

Research output: Contribution to journalArticlepeer-review

186 Scopus citations

Abstract

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 20 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 a strong 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 data set and highlights opportunities for further refinement.

Original languageEnglish
JournalJCI insight
Volume3
Issue number23
DOIs
StatePublished - 6 Dec 2018
Externally publishedYes

Keywords

  • Adaptive immunity
  • Bone marrow
  • Bone marrow differentiation
  • Hematology
  • Immunology

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