Retinoic acid (RA) is a key morphogen in human retinal development, activating transcriptional programs that drive retinal progenitor differentiation and photoreceptor development, ensuring proper spatial organisation within the neural retina, essential for vision. Despite its well-established role in retinal patterning, the concentration-dependent effects of RA on human retinal cell fate specification and the regional definition of the primate macula and peripheral retina remain poorly understood. Here, we show that temporal and dosage-dependant modulation of RA during human retinal organoid differentiation induces distinct changes in retinal cell abundance, maturation, and organisation. Single-cell transcriptomics and protein analysis reveal that RA dosage influences the relative abundance and maturation of photoreceptors and retinal interneurons. Spatial transcriptomics analyses demonstrates that low RA levels biases retinal organoids toward a macular-like regional identity, whereas high RA levels promotes peripheral-like development. Collectively, our findings emphasise the critical role of RA signalling in retinal maturation and regional specification. This study elucidates mechanisms involved in human retinal development and we anticipate that controlled RA modulation in retinal organoids provides a strategy to refine disease modelling of inherited retinal disorders and enhance the specific generation of photoreceptors suitable for transplantation and regenerative therapies.
DNA methylation (5mC) is an epigenetic mark that plays a critical role in defining cell fate. Following fertilisation, DNA methylation inherited from gametes must be reprogrammed to establish totipotency and enable the parental-to-zygotic transition. To accomplish this, non-mammalian vertebrates such as zebrafish and medaka subtly reprogramme maternal 5mC profiles while maintaining high methylation levels throughout embryogenesis. In contrast, eutherian mammals such as mouse and human undergo global 5mC erasure in both embryonic and extraembryonic lineages. However, while embryonic 5mC is rapidly re-established to high levels upon implantation, the trophectoderm, which gives rise to the placenta, displays sustained and conserved DNA hypomethylation, suggesting that this drastic 5mC erasure may be functionally linked to complex placentation in mammals. To clarify whether extensive post-fertilisation 5mC erasure co-evolved with placentation, we explored embryonic methylation dynamics in marsupials, a lineage of therian mammals with a short-lived placenta. We produced a near complete telomere-to-telomere (T2T) genome and generated detailed epigenome maps of embryonic development for an Australian marsupial, the fat-tailed dunnart (Sminthopsis crassicaudata). We found the dunnart embryo exhibits genome wide DNA demethylation at the blastocyst stage, but these changes occur in the trophectoderm only, suggesting that 5mC erasure in the placenta is an ancestral state in therian mammals. Furthermore, the T2T-level dunnart genome assembly enabled identification of sex chromosomes, uncovering extensive hypomethylation of the paternally-inherited inactive X chromosome in females and revealing the previously unannotated master regulator of X chromosome inactivation, lncRNA RSX. Our data indicate that while the use of genome-wide 5mC erasure differs between eutherian and marsupial lineages, 5mC erasure in extraembryonic tissue is ancestral to therian mammals and may be necessary to support placental development.
Identifying chemical compounds that target trans-regulatory networks (TRNs) underlying molecular programs of cells for directed cellular conversion (i.e. differentiation, reprogramming, transdifferentiation, and dedifferentiation) is a key step towards advancing regenerative medicine. Recent innovations in single-cell omics technologies enabled high-resolution profiling of TRNs that govern cell identity and cell-fate decisions. Here, we introduce Refate, a computational framework that integrates large-scale multimodal single-cell atlas data to quantify cell propensity of genes, together with six drug databases, to identify chemical compounds that target TRNs for directed cellular conversion. The reconstructed TRNs, including protein-protein interactions and gene regulatory networks, alongside chemical compounds that drive the cellular conversion provide greater biological interpretability and improve efficiency and efficacy. We evaluated Refate by testing its ability to uncover known transcription factors and chemical compounds validated in experimental conversions of various cell types. Furthermore, we experimentally validated the attribute of several novel chemical compounds identified by Refate for enhancing the conversion of human embryonic stem cells to human cranial neural crest cells. Together, these findings demonstrate Refate as an effective tool for discovering chemical compounds that target TRNs to enable cellular conversion, advancing efforts towards regenerative medicine.
Pluripotent stem cells provide a scalable approach to analyse molecular regulation of cell differentiation across developmental lineages. Here, we engineer barcoded induced pluripotent stem cells to generate an atlas of multilineage differentiation from pluripotency, encompassing an eight-day time course with modulation of WNT, BMP, and VEGF signalling pathways. Annotation of in vitro cell types with reference to in vivo development reveals diverse mesendoderm lineage cell types including lateral plate and paraxial mesoderm, neural crest, and primitive gut. Interrogation of temporal and signalling-specific gene expression in this atlas, evaluated against cell type-specific gene expression in human complex trait data highlights the WNT-inhibitor gene TMEM88 as a regulator of mesendodermal lineages influencing cardiovascular and anthropometric traits. Genetic TMEM88 loss of function models show impaired differentiation of endodermal and mesodermal derivatives in vitro and dysregulated arterial blood pressure in vivo. Together, this study provides an atlas of multilineage stem cell differentiation and analysis pipelines to dissect genetic determinants of mammalian developmental physiology.
Human induced pluripotent stem cells (hiPSCs) possess the ability to differentiate into a multitude of cell and tissue types but display heterogeneous propensity of differentiation into specific lineage. Characterization of the transcriptome of 11 hiPSC lines showed that activation of MIXL1 at the early stage of stem cell differentiation correlated with higher efficacy in generating definitive endoderm and advancing differentiation and maturation of endoderm derivatives. Enforced expression of MIXL1 in the endoderm-inefficient hiPSCs enhanced the propensity of endoderm differentiation, suggesting that modulation of key drivers of lineage differentiation can re-wire hiPSC to the desired lineage propensity to generate the requisite stem cell products.
Analyzing the impact of genetic mutations on early neurogenesis of mammalian embryos in conventional mouse mutant models is laborious and time-consuming. To overcome these constraints and to fast-track the phenotypic analysis, we developed a protocol that harnesses the amenability of engineering genetic modifications in embryonic stem cells from which mid-gestation mouse chimeras and in vitro neuruloids are generated. These stem cell-based chimera and neuruloid experimental models allow phenotyping at early developmental time points of neurogenesis.
Wnt signaling is a critical determinant of cell lineage development. This study used Wnt dose-dependent induction programs to gain insights into molecular regulation of stem cell differentiation. We performed single-cell RNA sequencing of hiPSCs responding to a dose escalation protocol with Wnt agonist CHIR-99021 during the exit from pluripotency to identify cell types and genetic activity driven by Wnt stimulation. Results of activated gene sets and cell types were used to build a multiple regression model that predicts the efficiency of cardiomyocyte differentiation. Cross-referencing Wnt-associated gene expression profiles to the Connectivity Map database, we identified the small-molecule drug, tranilast. We found that tranilast synergistically activates Wnt signaling to promote cardiac lineage differentiation, which we validate by in vitro analysis of hiPSC differentiation and in vivo analysis of developing quail embryos. Our study provides an integrated workflow that links experimental datasets, prediction models, and small-molecule databases to identify drug-like compounds that control cell differentiation.
Spatiotemporal coordination of cellular and molecular events is crucial for cell fate commitment during mouse gastrulation. However, the high-precision mechanisms governing the timing and spatial dynamics remain poorly understood. Here, we present a time-series single-cell multi-omic dataset from the mouse gastrulating embryos and construct a hierarchical gene regulatory landscape. Integrating this with real three-dimensional transcriptomic coordinate, we created ST-MAGIC and ST-MAGIC (+) atlas, dissecting the spatiotemporal logics of regulatory networks and signaling responsiveness underpinning the lineage commitment at gastrulation. Specifically, we delineated the multi-omic basis for left-right symmetry breaking events in the gastrula and also revealed the spatiotemporal molecular relay for axial mesendoderm lineage, where early and intermediate transcription factors first open the chromatin regions and setup the responsiveness to signaling, followed by terminal factors to consolidate the transcriptomic architecture. In summary, our study presents a spatiotemporal regulatory logic framework of mouse gastrulation, that advances our understanding of mammalian embryogenesis. ### Competing Interest Statement The authors have declared no competing interest.
Pluripotent stem cells are being used to generate models of early embryogenesis that are promising for discovery and translational research. To be useful, these models require critical consideration of their level of efficiency and fidelity to natural embryos. Here we propose criteria with which to raise the standards of stem-cell-based embryo models of human embryogenesis.
A population of putative mesendoderm progenitor cells that can contribute cellular descendants to both mesoderm and endoderm lineages is identified. These progenitor cells are localized to the anterior primitive streak and the adjacent epiblast of E7.0-E7.5 mid-to late-gastrula stage embryos. Lineage tracing in vivo revealed that putative mesendoderm progenitors that are marked by Mixl1 and Mesp1 activity contribute descendants to the endoderm layer. Analysis of the role of Mixl1 transcription factor in endoderm differentiation of the mouse epiblast stem cells revealed the choice for endoderm or mesoderm cell fate depends on the timing of activation of Mixl1 upon exit from pluripotency, suggesting Mixl1 function may underpin the divergence of the mesendoderm progenitor to mesoderm and endoderm lineages. The knowledge gained on the spatial, temporal, and lineage attribute of mesendoderm progenitors enriches our mechanistic understanding of germ layer allocation and endoderm differentiation of mesendoderm progenitor in embryonic development and lineage allocation of primed state pluripotent stem cells in vitro. ### Competing Interest Statement The authors have declared no competing interest.
In the companion Perspective 'Past and future of human developmental biology' (Hopwood, 2024), historian Nick Hopwood proposes that the field of human developmental biology has gone through periods of attention and neglect. Development invited researchers from the field to respond to this idea. In this article, published to coincide with the 10th anniversary of Development's 'From Stem Cells to Human Development' meeting, researchers from eight countries comment on how they believe their local legal, political, regulatory, societal and technological frameworks are influencing the field's trajectory.
Defining the molecular networks orchestrating human brain formation is crucial for understanding neurodevelopment and neurological disorders. Challenges in acquiring early brain tissue have incentivized the use of three-dimensional human pluripotent stem cell (hPSC)-derived neural organoids to recapitulate neurodevelopment. To elucidate the molecular programs that drive this highly dynamic process, here, we generate a comprehensive trans-omic map of the phosphoproteome, proteome, and transcriptome of the exit of pluripotency and neural differentiation toward human cerebral organoids (hCOs). These data reveal key phospho-signaling events and their convergence on transcriptional factors to regulate hCO formation. Comparative analysis with developing human and mouse embryos demonstrates the fidelity of our hCOs in modeling embryonic brain development. Finally, we demonstrate that biochemical modulation of AKT signaling can control hCO differentiation. Together, our data provide a comprehensive resource to study molecular controls in human embryonic brain development and provide a guide for the future development of hCO differentiation protocols.
Recent advances of single-cell transcriptomics technologies and allied computational methodologies have revolutionized molecular cell biology. Meanwhile, pioneering explorations in spatial transcriptomics have opened up avenues to address fundamental biological questions in health and diseases. Here, we review the technical attributes of single-cell RNA sequencing and spatial transcriptomics, and the core concepts of computational data analysis. We further highlight the challenges in the application of data integration methodologies and the interpretation of the biological context of the findings.
Understanding of the molecular drivers of lineage diversification and tissue patterning during primary germ layer development requires in-depth knowledge of the dynamic molecular trajectories of cell lineages across a series of developmental stages of gastrulation. Through computational modeling, we constructed at single-cell resolution, a spatio-temporal transcriptome of cell populations in the germ-layers of gastrula-stage mouse embryos. This molecular atlas enables the inference of molecular network activity underpinning the specification and differentiation of the germ-layer tissue lineages. Heterogeneity analysis of cellular composition at defined positions in the epiblast revealed progressive diversification of cell types. The single-cell transcriptome revealed an enhanced BMP signaling activity in the right-side mesoderm of late-gastrulation embryo. Perturbation of asymmetric BMP signaling activity at late gastrulation led to randomization of left-right molecular asymmetry in the lateral mesoderm of early-somite-stage embryo. These findings indicate the asymmetric BMP activity during gastrulation may be critical for the symmetry breaking process.
Recent years have seen exciting progress across human embryo research, including new methods for culturing embryos, transcriptional profiling of embryogenesis and gastrulation, mapping lineage trajectories, and experimenting on stem cell-based embryo models. These advances are beginning to define the dynamical principles of development across stages, tissues and organs, enabling a better understanding of human development before birth in health and disease, and potentially leading to improved treatments for infertility and developmental disorders. However, there are still significant roadblocks en route to this goal. Here, we highlight technical challenges to studying early human development and propose ways and means to overcome some of these constraints.
Iwatsuki and colleagues have generated self-renewing pluripotent stem cells from the pre-gastrulation epiblast of the rat embryo and from other cellular sources: rat embryonic stem cells (rESCs) and epiblast-like cells derived from the rESCs. These rat epiblast-derived stem cells (rEpiSCs) display germ-line competence that is characteristic of mouse formative stem cells and early signature of specification of germ layer lineages typical of primed state mouse epiblast stem cells.
Contribution of the mammalian epiblast to fetal organs during embryogenesis has been investigated using reporters of marker genes, or through single cell or spatial RNA sequencing to infer differentiation trajectories. However, much remains to be learned about the clonal fate of mammalian epiblast cells in vivo . Here we develop a high diversity, high throughput, Cre recombinase-driven DNA LoxCode barcoding technology for in vivo clonal lineage tracing. Using this LoxCode mouse model, cells in E5.5 pre-gastrulation embryos were barcoded in utero and assessed in bulk via PCR or via single-cell RNA sequencing for their contribution to a comprehensive range of tissues and cell types in the E12.5 organogenesis-stage embryo. While a few typically large clones contributed to a diverse range of cell types of multiple germ layer derivatives, many clones displayed reproducible patterns of lineage restriction. Most prominent were clonal fate biases towards either blood, ectoderm lineages, mesenchymal tissues or limbs, likely reflecting branch points during development. In the context of a stochastic agent-based model of tissue development, clonal fate biases could be explained by early differentiation events occurring shortly after barcoding, and clonal similarities between tissues arose as a consequence of shared differentiation paths. At the single-cell level, clones exhibited heterogeneity in terms of tissue contributions, gene expression profiles, and in some instances left-right asymmetries and/or anterior-posterior segregation. Our study demonstrates the power and versatility of LoxCode barcoding in investigating native clonal fate and provides a deep clonal interrogation of the contribution of the mammalian epiblast to fetal organs.
Multicellular patterning of stem-cell-derived tissue models is commonly achieved via self-organizing activities triggered by exogenous morphogenetic stimuli. However, such tissue models are prone to stochastic behavior, limiting the reproducibility of cellular composition and forming non-physiological architectures. To enhance multicellular patterning in stem cell-derived tissues, a method for creating complex tissue microenvironments endowed with programmable multimodal mechano-chemical cues, including conjugated peptides, proteins, morphogens, and Young's moduli defined over a range of stiffnesses is developed. The ability of these cues to spatially guide tissue patterning processes, including mechanosensing and the biochemically driven differentiation of selected cell types, is demonstrated. By rationally designing niches, the authors engineered a bone-fat assembly from stromal mesenchyme cells and regionalized germ layer tissues from pluripotent stem cells. Through defined niche-material interactions, mechano-chemically microstructured niches enable the spatial programming of tissue patterning processes. Mechano-chemically microstructured cell niches thereby offer an entry point for enhancing the organization and composition of engineered tissues, potentiating structures that better recapitulate their native counterparts.
Here we describe a method to engraft epiblast stem cells (EpiSC) into the epiblast of gastrulation-stage mouse embryo to test the lineage propensity acquired by the EpiSCs during in vitro culture under different signaling conditions. After dissection and grafting, the recipient embryos can be grown in whole-embryo culture for up to 48 h and the contribution of the EpiSC-derived cells to tissues in the recipient embryo is assessed by light sheet 3D microscopy.
The interplay of signalling input and downstream transcriptional activity is the key molecular attribute driving the differentiation of germ layer tissue and the specification of cell lineages within each germ layer during gastrulation. This review delves into the current understanding of signalling and transcriptional control of lineage development in the germ layers of mouse embryo and non-human primate embryos during gastrulation and highlights the inter-species conservation and divergence of the cellular and molecular mechanisms of germ layer development in the human embryo.