Biology subjects

Dekel, B.

Publications and source records attributed to Dekel, B..

8 recordsLinked to original sources

bioRxiv2026

Robust self-organization of livestock pluripotent stem cells into post-gastrulation embryo models with advanced neuronal and mesodermal structures

Mammalian body plan formation arises from the self-organization of pluripotent cells through conserved morphogenetic processes that are difficult to study in vivo. Stem cell-based embryo models (SEMs) offer accessible three-dimensional systems to investigate these events but are currently limited to mouse and human cells and largely recapitulate posterior embryonic structures. In addition, no in-vitro models exist for post-gastrulation development in ungulate species, whose early development differs from that of rodents and primates. Here, we establish SEMs for two common ungulates, sheep and pig, using pluripotent stem cell-derived aggregates. We generate ovine and porcine gastruloids that recapitulate key features of gastrulation, including germ layer specification, symmetry breaking, and axial elongation. We further develop ovine trunk-like structures (oTLSs) that robustly model post-gastrulation trunk development, exhibiting sustained elongation, neuromesodermal progenitor maintenance, segmented somite formation, and a central neural tube-like axis. Time-resolved single-cell RNA sequencing combined with immunostaining reveals coordinated emergence of neural, mesodermal, and intermediate mesodermal lineages arranged along an anteroposterior axis. Notably, oTLSs generate dorsal neural derivatives, anterior neuronal populations, and renal primordia, representing an expansion in the lineage repertoire reported for existing trunk models. Together, this work extends SEMs to livestock species and establishes a platform for comparative mammalian developmental studies, with potential applications in fundamental research, veterinary toxicology, and agricultural biotechnology.

developmental biology↗

bioRxiv2024

Long-Read Structural and Epigenetic Profiling of a Kidney Tumor-matched Sample with Nanopore Sequencing and Optical Genome Mapping

Carcinogenesis often involves significant alterations in the cancer genome architecture, marked by large structural and copy number variations (SVs and CNVs) that are difficult to capture with short-read sequencing. Traditionally, cytogenetic techniques are applied to detect such aberrations, but they are limited in resolution and do not cover features smaller than several hundred kilobases. Optical genome mapping and nanopore sequencing are attractive technologies that bridge this resolution gap and offer enhanced performance for cytogenetic applications. These methods profile native, individual DNA molecules, thus capturing epigenetic information. We applied both techniques to characterize a clear cell renal cell carcinoma (ccRCC) tumors structural and copy number landscape, highlighting the relative strengths of each method in the context of variant size and average read length. Additionally, we assessed their utility for methylome and hydroxymethylome profiling, emphasizing differences in epigenetic analysis applicability.

genomics↗

bioRxiv2023

Characterization of alternative splicing in high-risk Wilms tumors

The significant heterogeneity of Wilms tumors between different patients is thought to arise from genetic and epigenetic distortions that occur during various stages of fetal kidney development in a way that is poorly understood. To address this, we characterized the heterogeneity of alternative mRNA splicing in Wilms tumors using a publicly available RNAseq dataset of high-risk Wilms tumors and normal kidney samples. Through Pareto task inference and cell deconvolution, we found that the tumors and normal kidney samples are organized according to progressive stages of kidney development within a triangle-shaped region in latent space, whose vertices, or "archetypes," resemble the cap mesenchyme, the nephrogenic stroma, and epithelial tubular structures of the fetal kidney. We identified a set of genes that are alternatively spliced between tumors located in different regions of latent space and found that many of these genes are associated with the Epithelial to Mesenchymal Transition (EMT) and muscle development. Using motif enrichment analysis, we identified putative splicing regulators, some of which are associated with kidney development. Our findings provide new insights into the etiology of Wilms tumors and suggest that specific splicing mechanisms in early stages of development may contribute to tumor development in different patients.

cancer biology↗

bioRxiv2022

Optical Genome and Epigenome Mapping of Clear Cell Renal Cell Carcinoma

Cancer cells display complex genomic aberrations that include large-scale genetic rearrangements and epigenetic modulation that are not easily characterized by short-read sequencing. We present a method for simultaneous profiling of long-range genetic/epigenetic changes in matched cancer samples. Clear cell renal cell carcinoma (ccRCC) is the most common subtype of kidney cancer. Most ccRCC cases demonstrate somatic genomic alterations involving the short arm of chromosome 3 (3p), most often targeting the von Hippel-Lindau (VHL) gene. Aiming to identify somatic alterations that characterize early stage ccRCC, we performed comprehensive genetic, cytogenetic and epigenetic analyses comparing ccRCC tumor to adjacent non-tumorous tissue. Optical genome mapping identified genomic aberrations such as structural and copy number variations, complementing exome-sequencing results. Single-molecule methylome and hydroxymethylome mapping revealed multiple differential regions, some of them known to be associated with ccRCC pathogenesis. Among them, metabolic pathways were significantly enriched. Moreover, significant global epigenetic differences were detected between the tumor and the adjacent non-tumorous tissue, and a correlation between epigenetic signals and gene expression was found. This is the first reported comparison of a human tumor and a matched tissue by optical genome/epigenome mapping, revealing well-established and novel somatic aberrations.

genomics↗

bioRxiv2022

Characterization of the continuous transcriptional heterogeneity in Wilms tumors using unsupervised machine learning

Wilms tumors are pediatric malignancies that are thought to arise from faulty kidney development. To date, the course of treatment depends on manual histopathological classification which is difficult since the tumors differ between patients in a continuous manner. Here, we used three computational approaches to characterize the continuous heterogeneity of Wilms tumors. We first chose a published dataset of microarray gene expression measurements from high-risk blastemal-type Wilms tumors. Then, we used Pareto Task Inference to show that the tumors form a triangle-shaped continuum in latent space that is bounded by three tumor archetypes with "stromal", "epithelial", and "blastemal" characteristics, that resemble the un-induced mesenchyme, the Cap mesenchyme, and early epithelial structures of the fetal kidney. We confirmed this by fitting a generative probabilistic "grade of membership" model whereby each tumor is represented as a unique mixture of three hidden "topics" with blastemal, stromal, and epithelial characteristics. Finally, we used cellular deconvolution to show that each tumor is composed of a unique mixture of cell populations resembling the un-induced mesenchyme, the cap mesenchyme, and the early epithelial structures of the fetal kidney. We anticipate that these methodologies will pave the way for more quantitative strategies for tumor stratification and classification.

cancer biology↗

bioRxiv2020

Molecular characterization of clonal human renal forming cells

The adult kidney replaces its parenchyma in vivo in steady state and during regeneration by segment-specific clonal cell proliferation. To understand human adult kidney clonal cell growth, we derived tissue from human nephrectomies and performed limiting dilution to establish genuine clonal cultures from one single cell. Clonal efficiency of the human kidney was x%. Remarkably, a single renal cell could give rise to up to 3.3*10(6) cells. Phenotypically, two types of clonal cultures were apparent; a stably proliferating cuboidal epithelial-like appearing (EL) and a rapidly proliferating fibroblast-like appearing (FL). RNA sequencing of all clonal cultures separated FL from EL cultures according to proximal-distal/collecting renal epithelial tubular identity, respectively. Moreover, distinct molecular features in respect to cell-cycle, epithelial-mesenchymal transition, oxidative phosphorylation, BMP signaling pathway and cell surface markers were observed for each clone type. Surprisingly, clonal expansion (>3 months) was sustained in EL clones harboring markers of mature kidney epithelia (high CD24, CDH1, EpCAM, EMA) in contrast to de-differentiated FL clones (high NCAM1, serpine1), which showed fast lineage amplification and exhausted in a few weeks. Thus, the human adult kidney harbors progenitor cell function in which segment identity and the level of epithelial differentiation dictate clonal characteristics.

cell biology↗

bioRxiv2019

Characterization of splice isoform switching during human kidney development

Nephrons are the functional units of the kidney. During kidney development, cells from the cap mesenchyme - a transient kidney-specific progenitor state - undergo a mesenchymal to epithelial transition (MET) and subsequently differentiate into the various epithelial cell types that create the tubular structures of the nephron. Faults in this transition can lead to a pediatric malignancy of the kidney called Wilms tumor that mimics normal kidney development. While kidney development has been characterized at the gene expression level, a comprehensive characterization of alternative splicing is lacking. We therefore performed RNA sequencing on cell populations representing early, intermediate, and late developmental stages of the human fetal kidney, as well as three blastemal-predominant Wilms tumor patient-derived xenografts. We identified a set of transcripts that are alternatively spliced between the different developmental stages. Moreover, we found that cells from the earliest developmental stage have a mesenchymal splice-isoform profile that is similar to that of blastemal-predominant Wilms tumors. RNA binding motif enrichment analysis suggests that the mRNA binding proteins ESRP1, ESRP2, RBFOX2, and QKI regulate mRNA splice isoform switching during human kidney development. These findings illuminate new molecular mechanisms involved in kidney development and pediatric kidney tumors.\n\nHIGHLIGHTSO_LIDuring fetal kidney development, kidney progenitor cells undergo a mesenchymal to epithelial transition (MET) and subsequently differentiate into the various epithelial cell types that create the tubular structures of the nephron.\nC_LIO_LIRNA sequencing identifies a set of transcripts that undergo splice isoform switching during the mesenchymal to epithelial transition (MET) that occurs in the course of human fetal kidney development.\nC_LIO_LICells in the early stages of kidney development have a mesenchymal splice-isoform profile that is similar to that observed in blastemal-predominant Wilms tumor patient-derived xenografts (WT-PDX) that represent an aggressive subtype of Wilms tumors.\nC_LIO_LIRNA binding motif enrichment analysis indicates that the mRNA binding proteins ESRP1, ESRP2, RBFOX2, and QKI regulate splice isoform switching during human kidney development.\nC_LI

genomics↗

bioRxiv2019

Single-cell RNA sequencing reveals mRNA splice isoform switching during kidney development

During mammalian kidney development, nephron progenitors undergo a mesenchymal to epithelial transition and eventually differentiate into the various tubular segments of the nephron. Recently, the different cell types in the developing kidney were characterized using the Dropseq single cell RNA sequencing technology for measuring gene expression from thousands of individual cells. However, many genes can also be alternatively spliced and this creates an additional layer of heterogeneity. We therefore used full transcript length single-cell RNA sequencing to obtain the transcriptomes of 544 individual cells from mouse embryonic kidneys. We first used gene expression levels to identify each cell type. Then, we comprehensively characterized the splice isoform switching that occurs during the transition between mesenchymal and epithelial cellular states and identified several putative splicing regulators, including the genes Esrp1/2 and Rbfox1/2. We anticipate that these results will improve our understanding of the molecular mechanisms involved in kidney development.

genomics↗