Biology subjects

Thorner, K.

Publications and source records attributed to Thorner, K..

7 recordsLinked to original sources

bioRxiv2026

Vessel Organoids Reveal FOXF1 Variant-Specific Regulation of Mesoderm and Capillary Development

How allelic variants in lineage-regulating transcription factors drive diverging human developmental outcomes remains poorly understood. This is partly due to the lack of human model systems. Here, we used vessel organoids from human induced pluripotent stem cells (hiPSCs) to resolve variant-specific functions of Forkhead Box F1 (FOXF1), a critical regulator of mesoderm and vascular development. Using three patient-derived hiPSC lines harboring unique FOXF1 variants, we show that heterozygous variants cause capillary maldevelopment of varying severity. Single-nucleus multiomic analysis revealed variant-specific mechanisms - a severe variant impairs differentiation of nascent mesoderm to lateral plate mesoderm and disrupts vascular progenitor specification, while moderate variants permit mesoderm differentiation but rewire vascular progenitor states and function. Restoration of wild-type FOXF1 via lipid nanoparticle-mediated mRNA delivery rescued capillary formation in a variant- and developmental-stage-dependent manner. Together, these findings demonstrate that different variants disrupt stage-specific FOXF1 functions in human mesoderm-to-vascular development, underscoring the importance of variant-specific therapeutic strategies. HIGHLIGHTS O_LIHuman vessel organoids reveal variant-specific roles of FOXF1 in mesoderm patterning and capillary development. C_LIO_LISevere FOXF1 variant c.253T>A (p.F85I) impairs nascent mesoderm-to-lateral plate mesoderm differentiation and disrupts vascular progenitor specification. C_LIO_LI Moderate FOXF1 variants differentially rewire endothelial and mural progenitor cell states and function. C_LIO_LILipid nanoparticle-mediated FOXF1 mRNA delivery rescues capillary formation in a variant- and developmental-stage-dependent manner. C_LI

developmental biology↗

bioRxiv2025

Bridging the gap of late-gestation nephrogenesis using a non-human primate model

BackgroundHuman nephrogenesis is complete at 34-36 weeks gestation, with 60% of nephrons forming during the third trimester through lateral branch nephrogenesis (LBN). Currently, no mechanism exists for LBN as there are no late gestation human kidney transcriptional datasets. We hypothesized that a differentiated but dividing population of nephron progenitor cells (NPCs) would contribute to the amplification of nephrons in late gestation. We used the rhesus macaque, an established model of LBN, to help identify potential mechanisms. MethodsSingle-cell RNA-sequencing (scRNA-Seq) was performed on cortically-enriched fetal rhesus kidneys (n=9) from late second trimester and third trimester during LBN. This data was integrated with publicly available human scRNA-seq datasets from 8-18 weeks gestation kidneys (n=8) using state-of-the-art bioinformatics pipelines. Differentially expressed genes and ligand-receptor interactions were assessed and validated using RNAScopeTM on human and rhesus archival tissue. ResultsscRNA-Seq of 64,782 rhesus cells revealed 37 transcriptionally distinct cell populations, including 7,879 rhesus NPCs. Pseudotime analyses identified a late gestation-specific lineage branch of differentiated NPC in rhesus that was not observed in mid-gestation humans. Differential expression analyses identified increased SFRP1, FZD4, and TLE2 and decreased FZD7, SHISA2, SHISA3, and TLE4 within the late-gestation rhesus NPC compared to mid-gestation human NPC and increased SEMA3D within the rhesus ureteric bud (UB) tip, suggesting a compositional shift in WNT and SEMA signaling components within the naive NPC population during LBN. ConclusionThe rhesus macaque uniquely enables molecular studies of late-gestation primate nephrogenesis. Our study suggests the hypothesis that a transitional state of self-renewing NPCs supported by compositional shifts in key pathways may underlie the switch from branching phase nephrogenesis to lateral branch nephrogenesis and support ongoing nephron formation in late gestation. Translational statementNo transcriptional data exists for the late-gestation human kidney, during which 60% of the nephron endowment is formed through a primate-specific process called lateral branch nephrogenesis (LBN). In this study, we used single-cell RNA sequencing the late gestation rhesus macaque as a model for this developmental stage. Our findings suggest a potential mechanism for LBN, in which a transitional state of self-renewing nephron progenitor cells (NPCs) is supported by compositional shifts in key pathways, allowing for continued nephron formation in late gestation.

developmental biology↗

bioRxiv2025

Primitive Hepatoblasts Driving Early Liver Development

The embryonic development of the liver is initiated by the emergence of hepatoblasts, originating from the ventral foregut endoderm adjacent to the heart. Here, we identify and characterize a previously unrecognized population of early hepatoblasts at the ventroposterior part of the emerging liver bud, traced from Cdx2-positive endoderm progenitors, which we term primitive hepatoblasts. Mouse and human single-cell transcriptomics reveals the expression of both canonical hepatoblast markers TBX3, FGB, and KRT8/18 and primitive-specific mesenchymal markers ID3, VIM, and GATA4. Lineage tracing revealed the notable contribution up to 12.6% of LIV2+ hepatoblasts at E11.5 but diminishes in late fetal and postnatal development. Epigenetic and functional perturbation studies further uncover that primitive hepatoblast emergence is primed by WNT-suppression on RA-permissive CDX2+FOXA2+ progenitors. Furthermore, human pluripotent stem cell-derived primitive hepatoblast-like cells secrete pleiotrophin and midkine to amplify hepatoblast populations and develop epithelial-mesenchymal hybrid tissues in vivo. Our results provide a new framework for understanding lineage heterogeneity during early hepatogenesis and offer revised insights into strategies to model normal and abnormal liver development.

developmental biology↗

bioRxiv2025

Engineering Large-Scale and Innervated Functional Human Gut for Transplantation

A confined culture system (CCS) establishes methods to generate complex functional human gastrointestinal tissues. This approach yields large-scale innervated small intestinal, colonic and gastric organoids with an elongated tubular shape for both in vitro and in vivo studies. Transcriptomic and electrophysiological data demonstrate the co-development of a functional de novo enteric nervous system, which is absent from conventional organoids. When compared to traditional methods, CCS derived small intestinal, colonic and gastric organoids reached maturation supporting transplantation in half of the time, resulting in enhanced engraftment rates and sizes. Murine luminal content exposure within CCS organoids in vivo further augmented function, supporting the potential translational benefits required to model complex intestinal diseases. In summary, the CCS methodology simplifies current protocols while adding complexity and expediting the generation of clinically relevant functional gut tissues.

bioengineering↗

bioRxiv2024

Fetal Liver-like Organoids Recapitulate Blood-Liver Niche Development and Multipotent Hematopoiesis from Human Pluripotent Stem Cells

The fetal liver is a hematopoietic organ, hosting a diverse and evolving progenitor population. While human liver organoids derived from pluripotent stem cells (PSCs) mimic aspects of embryonic and fetal development, they typically lack the complex hematopoietic niche and the interaction between hepatic and hematopoietic development. We describe the generation of human Fetal Liver-like Organoids (FLOs), that model human hepato-hematopoietic interactions previously characterized in mouse models. Developing FLOs first integrate a yolk sac-like hemogenic endothelium into hepatic endoderm and mesoderm specification. As the hepatic and hematopoietic lineages differentiate, the FLO culture model establishes an autonomous niche capable of driving subsequent progenitor differentiation without exogenous factors. Consistent with yolk sac-derived waves, hematopoietic progenitor cells (HPCs) within FLOs exhibit multipotency with a preference for myeloid lineage commitment, while retaining fetal B and T cell differentiation potential. We reconstruct in FLOs the embryonic monocyte-to-macrophage and granulocyte immune trajectories within the FLO microenvironment and assess their functional responses in the liver niche. In vivo, FLOs demonstrate a liver engraftment bias of hematopoietic cells, recapitulating a key phenomenon of human hematopoietic ontogeny. Our findings highlight the intrinsic capacity of liver organoids to support hematopoietic development, establishing FLOs as a platform for modeling and manipulating human blood-liver niche interactions during critical stages of development and disease.

developmental biology↗

bioRxiv2023

The unique function of Runx1 in skeletal muscle differentiation and regeneration is mediated by an ETS interaction domain

The conserved Runt-related (RUNX) transcription factor family are well-known master regulators of developmental and regenerative processes. Runx1 and Runx2 are both expressed in satellite cells (SC) and skeletal myotubes. Conditional deletion of Runx1 in adult SC negatively impacted self-renewal and impaired skeletal muscle maintenance. Runx1- deficient SC retain Runx2 expression but cannot support muscle regeneration in response to injury. To determine the unique molecular functions of Runx1 that cannot be compensated by Runx2 we deleted Runx1 in C2C12 that retain Runx2 expression and established that myoblasts differentiation was blocked in vitro due in part to ectopic expression of Mef2c, a target repressed by Runx1. Structure-function analysis demonstrated that the Ets-interacting MID/EID region of Runx1, absent from Runx2, is critical to regulating myoblasts proliferation, differentiation, and fusion. Analysis of in-house and published ChIP-seq datasets from Runx1 (T-cells, muscle) versus Runx2 (preosteoblasts) dependent tissue identified enrichment for a Ets:Runx composite site in Runx1-dependent tissues. Comparing ATACseq datasets from WT and Runx1KO C2C12 cells showed that the Ets:Runx composite motif was enriched in peaks open exclusively in WT cells compared to peaks unique to Runx1KO cells. Thus, engagement of a set of targets by the RUNX1/ETS complex define the non-redundant functions of Runx1.

developmental biology↗

bioRxiv2021

ELeFHAnt: A supervised machine learning approach for label harmonization and annotation of single cell RNA-seq data

Annotation of single cells has become an important step in the single cell analysis framework. With advances in sequencing technology thousands to millions of cells can be processed to understand the intricacies of the biological system in question. Annotation through manual curation of markers based on a priori knowledge is cumbersome given this exponential growth. There are currently ~200 computational tools available to help researchers automatically annotate single cells using supervised/unsupervised machine learning, cell type markers, or tissue-based markers from bulk RNA-seq. But with the expansion of publicly available data there is also a need for a tool which can help integrate multiple references into a unified atlas and understand how annotations between datasets compare. Here we present ELeFHAnt: Ensemble learning for harmonization and annotation of single cells. ELeFHAnt is an easy-to-use R package that employs support vector machine and random forest algorithms together to perform three main functions: 1) CelltypeAnnotation 2) LabelHarmonization 3) DeduceRelationship. CelltypeAnnotation is a function to annotate cells in a query Seurat object using a reference Seurat object with annotated cell types. LabelHarmonization can be utilized to integrate multiple cell atlases (references) into a unified cellular atlas with harmonized cell types. Finally, DeduceRelationship is a function that compares cell types between two scRNA-seq datasets. ELeFHAnt can be accessed from GitHub at https://github.com/praneet1988/ELeFHAnt.

bioinformatics↗