About
Circulating HSPCs - normal reference (n=148)
This Shiny App allows interactive interface with the normal reference data from our circulating HSPC study (Figs 1-3).
Abstract
With aging, deviation of human blood counts from their normal range accompanies the transition from health to disease. Hematopoietic stem and progenitor cells (HSPCs) deliver life-long multi-lineage output, but their variation across healthy humans with aging, and their diagnostic utility haven’t been characterized in depth thus far. To address this, we introduce an HSPC reference model using single-cell RNA profiling of circulating CD34+ cells (cHSPCs) from 148 healthy age- and sex-diverse individuals. We characterize physiological cHSPC composition, show that age related myeloid bias is predominant in older males and define age-related transcriptional signatures in lymphoid progenitors. We demonstrate the potential of this resource in future diagnosis of myelodysplastic syndrome (MDS) from peripheral blood without bone marrow sampling, defining classes of MDS patients with abnormal lymphocyte, basophil or granulocyte progenitor frequencies. Models defining patients’ reference ranges can therefore promote clinical applications of single-cell genomics in MDS and in various other states.
Where to start
On the left sidebar you will find a list of tabs, click on the tab to open it. See below a short description of each tab.
- QC: View QC metrics of the metacell model.
- Manifold: View the 2d projection of the manifold
- Genes: Compare gene expression and metadata over the metacells.
- Markers: View a heatmap of ‘marker genes’ over the metacell model.
- Diff expression: Compare metacells / cell types.
- Cell types: View gene expression and metadata over cell types.
- Samples: View donor data.
# of UMIs per metacell
Max inner-fold per metacell
# of metacells with significant inner-fold
Max inner-stdev per metacell
# of cells per metacell
Max zero-fold per metacell
# of cells with zero UMIs per gene
Type Projections
Projected correlation per metacell
Fitted genes per cell type
2D Projection
Gene/Gene
Gene projections
Markers Heatmap
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Diff. Expression
2D Projection
Cell types
Outliers Heatmap
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