Machine learning predicts putative haematopoietic stem cells within large single-cell transcriptomics datasets

It has been over 60 years since experiments first proved the existence of bone marrow cells capable of producing the whole blood system. In the following decades, multipotent haematopoietic stem cells (HSCs) have been the subject of many studies aimed at revealing the mechanisms controlling their function [1]. Strategies to isolate blood cells were developed following the invention of techniques to sort cells based on their expression of specific proteins. By isolating and transplanting different fractions of bone marrow, sorting strategies could be refined to enrich for populations passing the gold-standard stem cell assay of repopulation upon secondary transplantation into irradiated mice (for review, see [2]).

Source: Experimental Hematology - September 8, 2019 Category: Hematology Authors: Fiona K. Hamey, Berthold G öttgens Source Type: research