Single-cell RNA sequencing reveals developmental heterogeneity among early lymphoid progenitors
- PMID: 29030486
- PMCID: PMC5730887
- DOI: 10.15252/embj.201797105
Single-cell RNA sequencing reveals developmental heterogeneity among early lymphoid progenitors
Abstract
Single-cell RNA sequencing is a powerful technology for assessing heterogeneity within defined cell populations. Here, we describe the heterogeneity of a B220+CD117intCD19-NK1.1- uncommitted hematopoietic progenitor having combined lymphoid and myeloid potential. Phenotypic and functional assays revealed four subpopulations within the progenitor with distinct lineage developmental potentials. Among them, the Ly6D+SiglecH-CD11c- fraction was lymphoid-restricted exhibiting strong B-cell potential, whereas the Ly6D-SiglecH-CD11c- fraction showed mixed lympho-myeloid potential. Single-cell RNA sequencing of these subsets revealed that the latter population comprised a mixture of cells with distinct lymphoid and myeloid transcriptional signatures and identified a subgroup as the potential precursor of Ly6D+SiglecH-CD11c- Subsequent functional assays confirmed that B220+CD117intCD19-NK1.1- single cells are, with rare exceptions, not bipotent for lymphoid and myeloid lineages. A B-cell priming gradient was observed within the Ly6D+SiglecH-CD11c- subset and we propose a herein newly identified subgroup as the direct precursor of the first B-cell committed stage. Therefore, the apparent multipotency of B220+CD117intCD19-NK1.1- progenitors results from underlying heterogeneity at the single-cell level and highlights the validity of single-cell transcriptomics for resolving cellular heterogeneity and developmental relationships among hematopoietic progenitors.
Keywords: hematopoiesis; heterogeneity; lineage priming; multipotentiality; single‐cell RNA sequencing.
© 2017 The Authors.
Figures
- A
Representative FACS plots of EPLM from the bone marrow of WT mice with the addition of Ly6D, SiglecH, and CD11c identifying four subpopulations.
- B, C
Percentages (B) and absolute numbers (C) of WT EPLM subpopulations (n = 5).
- D–F
In vitro limiting dilution analysis of Ly6D+, TN, SiglecH+, and CD11c+ for B‐cell (D), T‐cell (E), or myeloid (F) potentials.
- G, H
B‐cell reconstitution of sub‐lethally irradiated Rag2‐deficient mice with 4 × 103 Ly6D+ (n = 5) or TN (n = 4) cells from WT. (G) Representative FACS plots from spleens of reconstituted mice. (H) Quantification of CD19+IgM+ splenocytes.
- A
Representative FACS plots of EPLM from the bone marrow of Flt3Ltg mice with the addition of Ly6D, SiglecH, and CD11c identifying four subpopulations.
- B, C
Comparison of EPLM subpopulations from WT (n = 5, circles) and Flt3Ltg (n = 5, squares) mice in percentages (B) or absolute numbers (C).
- D–F
B‐cell, T‐cell, and myeloid precursor frequencies of EPLM subpopulations from Flt3Ltg mice obtained by limiting dilution performed as in Fig 1.
- A
Gene expression ratio of Ly6D+ versus TN cells from Flt3Ltg (vertical axis) plotted against the average expression intensity (horizontal axis), showing 1,008 differentially expressed genes (DEG, stars): 493 highly expressed in Ly6D+ (Up, red) and 515 highly expressed in TN (Down, blue) identified by bulk RNA‐seq (n = 4).
- B
PCA of 152 Ly6D+ and 213 TN single cells from Flt3Ltg using as gene set the DEG identified in (A) and colored according to the cell type. Average gene expression was centered to zero.
- C, D
Kinetics of CD19+ and Ly6D+ EPLM generation in vitro. (C) Ly6D/CD19 FACS plots of the in vitro progeny of Ly6D+ (upper row) and TN EPLM (lower row) at days 1–3 after initiation of culture. Cells shown are SiglecH−CD11c−NK1.1−. (D) Kinetics of Ly6D+ EPLM and CD19+ cell generation in vitro from Ly6D+ (top graph) and TN EPLM (bottom graph).
- E
Heatmap with pairwise Pearson's transcriptome correlation of Ly6D+, TN, and pro‐B averaged populations (bulk RNA‐seq, n = 4).
- A
PCA generated as in Fig 3B showing the subgroups revealed by PAM clustering method (see Materials and Methods). Circles: Ly6D+, triangles: TN. G1 Ly6D+ (n = 56), G2 Ly6D+ (n = 82), G3 TN (n = 85), G4 TN (n = 52), G5 TN (n = 56).
- B
Heatmap with pairwise Pearson's transcriptome correlation of Ly6D+ and TN subgroups. The number of cells (n) per subgroup is specified in (A).
- C–G
Violin plots with genes highly expressed in G1 Ly6D+ (C), G4 TN (D), G5 TN (E), (G1, G2) Ly6D+ and G3 TN (F), or G4 and G5 TN (G) subgroups compared to the other subgroups. The median expression level is shown with a line when more than 50% of the cells express the indicated gene.
- A
Same PCA plot as in Fig 4A summarizing the genetic signatures of the Ly6D+ and TN subgroups revealed by our in silico analysis.
- B–D
Scatter plots showing the expression levels in log2FPKM of selected B and T (B), neutrophil (Neu) and monocyte/macrophages (Mo/Mc) (C) or myeloid (Mye) and lymphoid (Lym) (D) lineage marker pairs in the Ly6D+ and TN subpopulations. Dotted vertical and horizontal lines delimit when the transcript of the indicated gene is detected (> 0). Percentages within the double‐positive area of the plot indicate the fraction of cells co‐expressing both genes to the number of cells expressing only one gene (top: gene on vertical axis; bottom: gene on horizontal axis).
- E
B‐cell, myeloid, and bipotent (B/Mye) developmental potential of the indicated single‐cell sorted populations from Flt3Ltg. Three independent experiments were performed for Ly6D+ and TN cells and one for the control pro‐B and GMP cells. Shown is mean ± SEM.
Comment in
-
Don't judge a cell by its cover: heterogeneity within early lymphoid progenitors.EMBO J. 2017 Dec 15;36(24):3552-3554. doi: 10.15252/embj.201798443. Epub 2017 Nov 30. EMBO J. 2017. PMID: 29192121 Free PMC article.
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