Data lineage is about tracking the flow of information. It is necessary to guarantee the quality, usability and security of your data. For large organizations, it is also a key conformity requirement. With Linkurious, it is possible to use a graph-based approach to solve these challenges. The success of an organization depends on the quality, usability and security of its data.
The composition of cooperative systems, including animal societies, organismal bodies, and microbial groups, reflects their past and shapes their future evolution. However, genomic diversity within many multiunit systems remains uncharacterized, limiting our ability to understand and compare their evolutionary character. We have analyzed genomic and social-phenotype variation among 120 natural isolates of the cooperative bacterium Myxococcus xanthus derived from six multicellular fruiting bodies. Each fruiting body was composed of multiple lineages radiating from a unique recent ancestor. Genomic evolution was concentrated in selection hotspots associated with evolutionary change in social phenotypes.
We mapped the cellular origins of My, Er, and Mk lineages across three time points in human blood development: fetal liver (FL), neonatal cord blood (CB), and adult bone marrow (BM). Using a cell-sorting scheme based on markers linked to Er and Mk lineage specification (CD71 and CD110), we found that previously described populations of multipotent progenitors (MPPs), CMPs, and megakaryocyte-erythroid progenitors (MEPs) were heterogeneous and could be further purified. Nearly 3000 single cells from 11 cellular subsets from the CD34 compartment of FL, CB, and BM (33 subsets in total) were evaluated for their My, Er, and Mk lineage potential using an optimized single-cell assay. In FL, the ratio of cells with multilineage versus unilineage potential remained constant in both the stem cell (CD34 CD38–) and progenitor cell (CD34 CD38) enriched compartments. By contrast, in BM, nearly all multipotent cells were restricted to the stem cell compartment, whereas unilineage progenitors dominated the progenitor cell compartment.
We isolated the DC-containing population (Lineage HLA DR CD135 cells) from human blood and defined the transcriptomes of 710 individual cells using massively parallel single-cell mRNA sequencing. By combining complementary bioinformatic approaches, we identified a small cluster of cells within this population as putative DC precursors (pre-DC). We then confirmed this finding using cytometry by time-of-flight (CyTOF) to simultaneously measure the expression of a panel of 38 different proteins at the single-cell level on Lineage HLA DR cells and found that pre-DC possessed a CD123 CD33 CD45RA phenotype. We confirmed the precursor potential of pre-DC by establishing their potential to differentiate in vitro into cDC1 and cDC2, but not pDC, in the known proportions found in vivo. Interestingly, pre-DC also express classical pDC markers, including CD123, CD303, and CD304.
Prostate cancer growth is fueled by male hormones called androgens. Drugs targeting the androgen receptor (AR) are initially efficacious, but most tumors eventually become resistant (see the Perspective by Kelly and Balk). Mu et al. found that prostate cancer cells escaped the effects of androgen deprivation therapy through a change in lineage identity. Functional loss of the tumor suppressors TP53 and RB1 promoted a shift from AR-dependent luminal epithelial cells to AR-independent basal-like cells. In related work, Ku et al. found that prostate cancer metastasis, lineage switching, and drug resistance were driven by the combined loss of the same tumor suppressors and were accompanied by increased expression of the epigenetic regulator Ezh2.