Aged haematopoietic stem cells (HSCs) generate more myeloid cells and fewer lymphoid cells compared with young HSCs, contributing to decreased adaptive immunity in aged individuals. However, it is not known how intrinsic changes to HSCs and shifts in the balance between biased HSC subsets each contribute to the altered lineage output. Here, by analysing HSC transcriptomes and HSC function at the single-cell level, we identify increased molecular platelet priming and functional platelet bias as the predominant age-dependent change to HSCs, including a significant increase in a previously unrecognized class of HSCs that exclusively produce platelets. Depletion of HSC platelet programming through loss of the FOG-1 transcription factor is accompanied by increased lymphoid output. Therefore, increased platelet bias may contribute to the age-associated decrease in lymphopoiesis.

Single-cell RNA sequencing (scRNA-seq) has emerged as a powerful tool for resolving transcriptional heterogeneity. However, its application to studying cancerous tissues is currently hampered by the lack of coverage across key mutation hotspots in the vast majority of cells; this lack of coverage prevents the correlation of genetic and transcriptional readouts from the same single cell. To overcome this, we developed TARGET-seq, a method for the high-sensitivity detection of multiple mutations within single cells from both genomic and coding DNA, in parallel with unbiased whole-transcriptome analysis. Applying TARGET-seq to 4,559 single cells, we demonstrate how this technique uniquely resolves transcriptional and genetic tumor heterogeneity in myeloproliferative neoplasms (MPN) stem and progenitor cells, providing insights into deregulated pathways of mutant and non-mutant cells. TARGET-seq is a powerful tool for resolving the molecular signatures of genetically distinct subclones of cancer cells.

Studying microRNA function in vivo requires genetic strategies to generate loss-of-function phenotypes. We used lentiviral vectors to stably and specifically knock down microRNA by overexpressing microRNA target sequences from polymerase II promoters. These vectors effectively inhibited regulation of reporter constructs and natural microRNA targets. We used bone marrow reconstitution with hematopoietic stem cells stably overexpressing miR-223 target sequence to phenocopy the genetic miR-223 knockout mouse, indicating robust interference of microRNA function in vivo.

Using single-cell transcriptome profiling of pre-granulocyte-macrophage progenitor cells, Nerlov and colleagues identify an early hematopoietic lineage bifurcation that segregates mast cells, eosinophils, megakaryocytes and erythroid cells from monocytes, neutrophils and lymphocytes. According to current models of hematopoiesis, lymphoid-primed multi-potent progenitors (LMPPs) (Lin−Sca-1+c-Kit+CD34+Flt3hi) and common myeloid progenitors (CMPs) (Lin−Sca-1+c-Kit+CD34+CD41hi) establish an early branch point for separate lineage-commitment pathways from hematopoietic stem cells, with the notable exception that both pathways are proposed to generate all myeloid innate immune cell types through the same myeloid-restricted pre–granulocyte-macrophage progenitor (pre-GM) (Lin−Sca-1−c-Kit+CD41−FcγRII/III−CD150−CD105−). By single-cell transcriptome profiling of pre-GMs, we identified distinct myeloid differentiation pathways: a pathway expressing the gene encoding the transcription factor GATA-1 generated mast cells, eosinophils, megakaryocytes and erythroid cells, and a pathway lacking expression of that gene generated monocytes, neutrophils and lymphocytes. These results identify an early hematopoietic-lineage bifurcation that separates the myeloid lineages before their segregation from other hematopoietic-lineage potential.