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Soneji, S.

Publications and source records attributed to Soneji, S..

2 recordsLinked to original sources

HSCs contribute actively to native multilineage hematopoiesis but with reduced differentiation capacity upon aging

A hallmark of adult hematopoiesis is the continuous replacement of blood cells with limited lifespans. It is well established that adult hematopoietic stem cells (HSCs) are active contributors to these processes after transplantation, yet their role in native hematopoiesis has recently been called into question. Here, we use inducible lineage tracing from genetically marked adult HSCs to explore their roles in the steady state. We show that adult HSCs contribute robustly to all lineages via intermediate progenitor cells, but with neglible production of hematopoietic cells with a known fetal origin. We further reveal that the timing for regeneration of distinct blood lineages varies substantially. Finally, HSC contribution to multilineage hematopoiesis in aged animals declines with increasing age. Therefore, while HSCs are active contributors to native adult hematopoiesis, it appears that the numerical increase of HSCs is a physiologically relevant compensatory mechanism to account for a reduced differentiation capacity with age.

developmental biology

CellexalVR: A virtual reality platform for the exploration and analysis of single-cell gene expression data

Single-cell RNAseq is a routinely used technique to explore the composition of cell populations, and they are often visualised using dimension reduction methods where the cells are represented in two or three dimensional space. Many tools are available to do this but visualising and cross-comparing these representations can be challenging, especially when cells are projected onto three dimensions which can be more informative for complex datasets. Here we present CellexalVR (www.cellexalvr.med.lu.se), a feature-rich, fully interactive virtual reality environment for the visualisation and analysis of single-cell experiments that allows researchers to intuitively and collaboratively gain an understanding of their data.

bioinformatics