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Seimiya, M.

Publications and source records attributed to Seimiya, M..

10 recordsLinked to original sources

Live single-molecule imaging reveals global shifts in mRNA mobility during human stem cell differentiation

Spatiotemporal regulation of mRNA localisation is fundamental to cell identity specification and function, yet tracking transcript dynamics in living differentiating cells remains technically challenging. Here, we establish a robust pipeline for MS2 tagging of endogenous transcripts in human induced pluripotent stem cells (iPSCs), coupled with single-particle tracking and Hidden Markov Modelling to map mRNA mobility landscapes during differentiation and cell state transitions. Applying this approach to different cytoskeleton-encoding transcripts in diverse contexts -- neural organoids, directly programmed neurons, and vascular organoids -- we reveal a conserved principle: Both, {beta}-actin and {beta}2b-tubulin particle dynamics progressively shift towards constrained, compartmentalised patterns as cells acquire cell type identity. Perturbation experiments demonstrate that microtubule-dependent tethering is a common, conserved mechanism controlling {beta}-actin mRNA localisation in all cell types studied, whereas translation-dependent anchoring and actin filaments contribute in a context-dependent manner. Analysis of particle dynamics in migrating blood vessel progenitors further showed that {beta}-actin mRNAs accumulating at cell edges are highly diffusive, while those in perinuclear regions show constrained movement. Together, our integrated framework provides a scalable foundation for mechanistic dissection of mRNA targeting in human developmental and disease models.

cell biology↗

Integrated cell atlas and tumoroids chart pancreatic cancer therapeutic targets

Pancreatic ductal adenocarcinoma (PDAC) is characterized by dense, fibroblast-rich stroma that actively shapes the tumor microenvironment. Most PDAC cases arise from conserved genetic transformations initiated by oncogenic KRAS mutations, developing into metastatic disease with high mortality rates. To chart universal PDAC cell states and identify therapeutic inroads, we integrated published single-cell transcriptomes from 200 patient samples, and used the atlas to define prevalent cancer cell and cancer-associated fibroblast (CAF) states, gene expression programs, and ligand-receptor interactions. We established modular tumoroids incorporating patient-derived cancer cells and CAFs that recapitulate aspects of ductal architecture and desmoplastic stroma. Single-cell and spatial transcriptomic profiling confirmed preservation of key cellular states and signaling networks in vitro. We identified Syndecan-1 (SDC1) as a CAF-responsive cancer cell receptor correlating with poor patient survival. Functional SDC1 blockade disrupted cancer growth in tumoroids, highlighting therapeutic relevance. This study provides a framework for dissecting cancer-stroma dynamics and identifying actionable targets using patient-derived tumoroid models.

cancer biology↗

Decoding morphogen patterning of human neural organoids with a multiplexed single-cell transcriptomic screen

Morphogens, secreted signalling molecules that direct cell fate and tissue development, are used to direct neuroepithelial progenitors towards discrete regional identities across the central nervous system. Neural tissues derived from pluripotent stem cells in vitro (neural organoids) provide new models for studying neural regionalization, however, we lack a comprehensive survey of how the developing human neuroepithelium responds to morphogen cues. Here, we produce a detailed map of morphogen-induced effects on the axial and regional specification of human neural organoids using a multiplexed single-cell transcriptomics screen. We find that the timing, concentration, and combination of morphogens strongly influence organoid cell type and regional composition, and that cell line and neural induction method strongly impact the response to a given morphogen condition. We apply concentration gradients in microfluidic chips or a range of static concentrations in multi-well plates to explore how human neuroepithelium interprets morphogen concentrations and observe similar dose-dependent induction of patterned domains in both scenarios. Altogether, we provide a detailed resource that supports the development of new regionalized neural organoid protocols and enhances our understanding of human central nervous system patterning.

developmental biology↗

Morphodynamics of human early brain organoid development

Brain organoids enable the mechanistic study of human brain development, and provide opportunities to explore self-organization in unconstrained developmental systems. Here, we establish long-term, live light sheet microscopy on unguided brain organoids generated from fluorescently labeled human induced pluripotent stem cells, which enables tracking of tissue morphology, cell behaviors, and subcellular features over weeks of organoid development. We provide a novel dual-channel, multi-mosaic and multi-protein labeling strategy combined with a computational demultiplexing approach to enable simultaneous quantification of distinct subcellular features during organoid development. We track Actin, Tubulin, plasma membrane, nucleus, and nuclear envelope dynamics, and quantify cell morphometric and alignment changes during tissue state transitions including neuroepithelial induction, maturation, lumenization, and brain regionalization. Based on imaging and single-cell transcriptome modalities, we find that lumenal expansion and cell morphotype composition within the developing neuroepithelium are associated with modulation of gene expression programs involving extracellular matrix (ECM) pathway regulators and mechanosensing. We show that an extrinsically provided matrix enhances lumen expansion as well as telencephalon formation, and unguided organoids grown in the absence of an extrinsic matrix have altered morphologies with increased neural crest and caudalized tissue identity. Matrixinduced regional guidance and lumen morphogenesis are linked to the WNT and Hippo (YAP1) signaling pathways, including spatially restricted induction of the Wnt Ligand Secretion Mediator (WLS) that marks the earliest emergence of nontelencephalic brain regions. Altogether, our work provides a new inroad into studying human brain morphodynamics, and supports a view that matrix-linked mechanosensing dynamics play a central role during brain regionalization.

developmental biology↗

Fate and state transitions during human blood vessel organoid development

Blood vessel organoids (BVOs) derived from human pluripotent stem cells have emerged as a novel system to understand human vascular development, model disorders, and develop regenerative therapies. However, it is unclear which molecular states constitute BVOs and how cells differentiate and self-organize within BVOs in vitro and after transplantation. Here we reconstruct BVO development over a time course using single-cell transcriptomics. We observe progenitor states that bifurcate into endothelial and mural fates, and find that BVOs do not acquire definitive arterio-venous endothelial identities in vitro. Chromatin accessibility profiling identifies gene regulatory network (GRN) features associated with endothelial and mural fate decisions, and transcriptome-coupled lineage recording reveals multipotent progenitor states within BVOs. We perform single-cell genetic perturbations within mosaic BVOs to dissect the impact of transcription factor (TF) and receptor depletion on cell differentiation, and highlight multiple TFs including MECOM and ETV2 as strong-effect regulators of human BVO development. We show that manipulation of VEGF and Notch signaling pathways alters BVO morphogenesis and endothelial GRNs, and induces arteriovenous-like state differentiation. We analyze matured BVOs after transplantation using scRNA-seq, and observe matured endothelium with clear arteriovenous specification. We also observe off-target cell fates with bone and adipocyte features, suggesting multipotent states reside within the BVOs in vitro that expand and diversify in less restrictive conditions. Finally, we map vascular disease associated genes to BVO cell states to highlight the potential of BVOs for disease modeling. Altogether, our data and analyses provide the first comprehensive cell state atlas of BVO development and illuminate both the power and limitation of BVOs for translational research.

developmental biology↗

Reconstructing cell interactions and state trajectories in pancreatic cancer stromal tumoroids

Interlineage communication within a cancer microenvironment can augment cancer cell behaviour and impact response to therapy. Patient-derived cancer organoids provide an opportunity to explore cancer cell biology, however it is a major challenge to generate a complex cancer microenvironment in vitro. Here, we established a stromal tumoroid culture system modeling pancreatic ductal adenocarcinoma (PDAC) that reconstitutes multilineage interactions between cancer, endothelial, and fibroblast cells and recapitulates several aspects of primary tumors. Whole-mount immunohistochemistry on cleared tumoroids reveals organized vessel, desmoplastic fibroblast, and glandular cancer cell phenotypes that emerge over time. Time-course scRNA-seq measurements show that tumoroid formation activates fibroblasts, altering the extracellular matrix (ECM) composition and inducing cancer cell signal-response signatures and metabolic state change. Comparison between tumoroids with normal or cancer associated fibroblasts (CAFs) reveals different ECM compositions, as well as differential effects on cancer cell behaviors and metabolism. We identify Syndecan 1 (SDC1) and Peroxisome proliferator-activated receptor gamma (PPARG) as receptor and metabolic nodes involved in cancer cell response to CAF signals, and blocking SDC1 disrupts cancer cell growth within the tumoroid. Tumoroids from multiple PDAC patients revealed co-existence of subpopulations associated with classical and basal phenotypes, and CAF-induced migration behaviors emerged in certain patient tumoroids. Comparisons between patient tumoroids revealed a multigene migration signature that develops over time reflecting a stress response mechanism that correlates with worse clinical outcome. Altogether, stromal tumoroids can be used to explore dynamic and reciprocal interactions between cancer, CAF and endothelial cell states, and our data provides new inroads into the discovery of personalized pancreatic cancer therapies.

cancer biology↗

Maturation of human intestinal epithelium from pluripotency in vitro

Methods to generate human intestinal tissue from pluripotent stem cells (PSCs) open new inroads into modeling intestine development and disease. However, current protocols require organoid transplantation into an immunocompromised mouse to achieve matured and differentiated epithelial cell states. Inspired by developmental reconstructions from primary tissues, we establish a regimen of inductive cues that enable stem cell maturation and epithelial differentiation entirely in vitro. We show that the niche factor Neuregulin1 (NRG1) promotes morphological change from proliferative epithelial cysts to matured epithelial tissue in three-dimensional cultures. Single-cell transcriptome analyses reveal differentiated epithelial cell populations, including diverse secretory and absorptive lineages. Comparison to multi-organ developmental and adult intestinal cell atlases confirm the specificity and maturation state of cell populations. Altogether, this work opens a new direction to use in vitro matured epithelium from human PSCs to study human intestinal epithelium development, disease, and evolution in controlled culture environments.

cell biology↗

Inferring and perturbing cell fate regulomes in human cerebral organoids

Self-organizing cerebral organoids grown from pluripotent stem cells combined with single-cell genomic technologies provide opportunities to explore gene regulatory networks (GRNs) underlying human brain development. Here we acquire single-cell transcriptome and accessible chromatin profiling data over a dense time course covering multiple phases of organoid development including neuroepithelial formation, patterning, brain regionalization, and neurogenesis. We identify temporally dynamic and brain region-specific regulatory regions, and cell interaction analysis reveals emergent patterning centers associated with regionalization. We develop Pando, a flexible linear model-based framework that incorporates multi-omic data and transcription binding site predictions to infer a global GRN describing organoid development. We use pooled genetic perturbation with single-cell transcriptome readout to assess transcription factor requirement for cell fate and state regulation in organoid. We find that certain factors regulate the abundance of cell fates, whereas other factors impact neuronal cell states after differentiation. We show that the zinc finger protein GLI3 is required for cortical fate establishment in humans, recapitulating previous work performed in mammalian model systems. We measure transcriptome and chromatin accessibility in normal or GLI3-perturbed cells and identify a regulome central to the dorsoventral telencephalic fate decision. This regulome suggests that Notch effectors HES4/5 are direct GLI3 targets, which together coordinate cortex and ganglionic eminence diversification. Altogether, we provide a framework for how multi-brain region model systems and single-cell technologies can be leveraged to reconstruct human brain developmental biology.

developmental biology↗

A long non-coding RNA in the let-7 complex acting as a potent and specific death effector of cancer cells

The let-7 complex in Drosophila encodes three evolutionarily conserved microRNAs: miR-100, let-7, and miR-125. These act as heterochronic genes in regulating developmental timing in response to the steroid hormone ecdysone and play important roles in cell differentiation. Here we identify two additional long non-coding RNAs in the let-7 complex, we named let-A and let-B. Both are transcribed in the large first intron of the primary RNA encoding the microRNAs. We show these RNAs to be sequentially expressed in early pupal stages in response to ecdysone signaling, albeit exhibiting a different expression pattern compared to the microRNA let-7. Surprisingly, ectopic expression of let-A in Drosophila cancer cells induces rapid cell death. Dead cells further release RNA molecules in the medium that is becoming toxic to other cancer cells. In vivo grown tumors lose their tumorigenicity after being incubated in the let-A induced medium. Moreover, feeding flies carrying transplanted tumor cells with such induced medium leads to reduced growth of tumors in a subset of hosts. Our results uncover a new lncRNA which can act as a potent and specific cell death effector for Drosophila tumor cells.

cancer biology↗

Inducing oncolytic cell death in human cancer cells by the long non-coding RNA let-A

Long non-coding (lnc) RNAs contain functional elements that play important regulatory roles in a variety of processes during development, normal physiology, as well as disease. We recently discovered a new lncRNA, we named let-A, expressed from the evolutionary conserved let-7-Complex locus in Drosophila. This RNA induces cell death in Drosophila cancer cells. Here we show that ectopic expression of Drosophila let-A is also exerting an oncolytic toxicity in several human cancer cell lines, but shows almost no effect in more differentiated or cell lines derived from normal tissue. We demonstrate that let-A RNA prepared by in vitro transcription and provided in the growth medium is sufficient to induce cell death both in human and Drosophila cancer cells. The activity of in vitro transcribed let-A is most efficient in its full length, but requires prior modification/processing to become active. let-A induces a reduction of nucleolar size in treated cells. We show exo/endocytosis and Toll signaling pathway to be necessary for let-A-induced toxicity. Our findings indicate let-A exhibits an evolutionary conserved anti-cancer function, making it a promising molecule for tumor treatments.

cancer biology↗