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Stucchi, S.

Publications and source records attributed to Stucchi, S..

2 recordsLinked to original sources

High resolution multi-scale profiling of embryonic germ cell-like cells derivation reveals pluripotent state transitions in humans

Primordial germ cells (PGCs) are the embryonic precursors of the gametes. In mice and rats, PGCs can readily acquire pluripotency in vitro by forming embryonic germ cells (EGCs). To date, a comparable in vitro system has not been established in humans, despite the fact that human PGCs (hPGCs) readily undergo pluripotent conversion in the context of germ cell tumorigenesis. Here we report that hPGC-like cells (hPGCLCs) undergo conversion to human embryonic germ-like cells (hEGCLCs) upon exposure to the same inductive signals previously used to derive mouse EGCs. This defined, feeder-free culture system allows efficient derivation of human EGCLCs which can be expanded and maintained in standard human pluripotent stem cell medium. hEGCLCs are transcriptionally similar to human pluripotent stem cells (hPSCs) and can differentiate into all three germ layers, as well as giving rise to PGCLCs once more - demonstrating the interconvertibility of pluripotent states. This is also evident at the epigenetic level, as the initial DNA demethylation that occurs in hPGCLCs is largely reversed in hEGCLCs, restoring DNA methylation to the level observed in hPSCs. This new in vitro model captures the transition from the pluripotent stem cell state to a germ cell identity and back again, and therefore represents a highly tractable system to study pluripotent and epigenetic transitions, including those which occur during human germ cell tumorigenesis. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=195 HEIGHT=200 SRC="FIGDIR/small/632914v1_ufig1.gif" ALT="Figure 1"> View larger version (44K): org.highwire.dtl.DTLVardef@14572bcorg.highwire.dtl.DTLVardef@6fa7c1org.highwire.dtl.DTLVardef@6eaa99org.highwire.dtl.DTLVardef@1822307_HPS_FORMAT_FIGEXP M_FIG C_FIG In briefWe report the first fully defined system to efficiently convert hPGCLCs to a pluripotent stem cell (PSC) state. We tracked pluripotent state transitions by multi-omic analysis and provided a high-resolution map of the transcriptional and epigenomic transitions upon entry to and exit from the human germline. HighlightsO_LIEfficient derivation of hEGCLC in fully defined feeder-free conditions C_LIO_LISingle-cell transcriptomic profiling of transitions from the hPSC state to hPGCLCs and back. C_LIO_LILongitudinal DNA methylation profiling highlights the overall reversibility of epigenetic states C_LIO_LIMulti-omic gene regulatory network analysis identifies key regulators of pluripotent transitions C_LI

developmental biology↗

Multiplexing cortical brain organoids for the longitudinal dissection of developmental traits at single cell resolution

The combination of brain organoid and single cell omic technologies holds transformative potential to dissect human neurobiology at high resolution and with mechanistic precision. Delivering this promise in the context of human neurodiversity, physiological and pathological alike, requires however a major leap in scalability, given the need for experimental designs that include multiple individuals and, prospectively, population cohorts. To lay the foundation for this, we implemented and benchmarked complementary strategies to multiplex brain organoids. Following an extended longitudinal design with a uniquely informative set of timepoints, we pooled cells from different induced pluripotent stem cell lines either during organoids generation (upstream multiplexing in mosaic models) or before single cell-RNAseq library preparation (downstream multiplexing). We developed a new method, SCanSNP, and an aggregated call to deconvolve organoids cell identities, overcoming current criticalities in doublets prediction and low quality cells identification and improving accuracy over state of the art algorithms. Integrating single cell transcriptomes and analysing cell types across neurodevelopmental stages and multiplexing modalities, we validated the feasibility of both multiplexing methods in charting neurodevelopmental trajectories at high resolution, linking their specificity to genetic variation between individual lines. Together, this multiplexing suite of experimental and computational methods provides an enabling resource for disease modelling at scale and paves the way towards an in vitro epidemiology paradigm.

neuroscience↗