Self-organizing models of human trunk organogenesis recapitulate spinal cord and spine co-morphogenesis [scRNA-seq]
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ABSTRACT:
PROVIDER: PRJNA891643 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR21947448_1.fastq.gz | Fastqsanger.gz | |||
| SRR21947448_2.fastq.gz | Fastqsanger.gz | |||
| SRR21947449_1.fastq.gz | Fastqsanger.gz | |||
| SRR21947449_2.fastq.gz | Fastqsanger.gz |
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Project description:Self-organizing models of human trunk organogenesis recapitulate spinal cord and spine co-morphogenesis.
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Project description:Integrated in vitro models of human organogenesis are needed to elucidate the multi-systemic events underlying development and disease. We report the generation of human trunk-like structures that model the co-morphogenesis, patterning, and differentiation of the human spine and spinal cord. We identified differentiation conditions for human pluripotent stem cells favoring the formation of an embryo-like extending antero-posterior (AP) axis. Single cell and spatial transcriptomics show that somitic and spinal cord differentiation trajectories organize along this axis and can self-assemble into neural tubes surrounded by somites upon extracellular matrix addition. Morphogenesis is coupled with AP patterning mechanisms which results, at later stages of organogenesis, in in vivo-like arrays of neural subtypes along a neural tube surrounded by spine and muscle progenitors contacted by neuronal projections. This integrated system of trunk development indicates that in vivo-like multi-tissue morphogenesis and topographic organization of terminal cell types can be achieved in human organoids, opening windows for the development of more complex models of organogenesis.
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Project description:Integrated in vitro models of human organogenesis are needed to elucidate the multi-systemic events underlying development and disease. We report the generation of human trunk-like structures that model the co-morphogenesis, patterning, and differentiation of the human spine and spinal cord. We identified differentiation conditions for human pluripotent stem cells favoring the formation of an embryo-like extending antero-posterior (AP) axis. Single cell and spatial transcriptomics show that somitic and spinal cord differentiation trajectories organize along this axis and can self-assemble into neural tubes surrounded by somites upon extracellular matrix addition. Morphogenesis is coupled with AP patterning mechanisms which results, at later stages of organogenesis, in in vivo-like arrays of neural subtypes along a neural tube surrounded by spine and muscle progenitors contacted by neuronal projections. This integrated system of trunk development indicates that in vivo-like multi-tissue morphogenesis and topographic organization of terminal cell types can be achieved in human organoids, opening windows for the development of more complex models of organogenesis.
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Project description:Self-organizing models of human trunk organogenesis recapitulate spinal cord and spine co-morphogenesis [TOMO-seq]
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Project description:This SuperSeries is composed of the SubSeries listed below.
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Project description:Self-organizing human trunk 3D neuromuscular organoids
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Project description:Neuromuscular networks assemble during early human embryonic development and are essential for the control of body movement. Previous neuromuscular junction modeling efforts using human pluripotent stem cells (hPSCs) generated either spinal cord neurons or skeletal muscles in monolayer culture. Here, we use hPSC-derived axial stem cells, the building blocks of the posterior body, to simultaneously generate spinal cord neurons and skeletal muscle cells that self-organize to generate human neuromuscular organoids (NMOs) that can be maintained in 3D for several months. Single-cell RNA-sequencing of individual organoids revealed reproducibility across experiments and enabled the tracking of the neural and mesodermal differentiation trajectories as organoids developed and matured. NMOs contain functional neuromuscular junctions supported by terminal Schwann cells. They contract and develop central pattern generator-like neuronal circuits. Finally, we successfully use NMOs to recapitulate key aspects of myasthenia gravis pathology, thus highlighting the significant potential of NMOs for modeling neuromuscular diseases in the future.
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Project description:Liver tissue from three-spine stickleback individuals from 3 populations were tested on arrays to determine array suitability for transcriptomics experiments.
2009-08-21 | E-MEXP-2304 | biostudies-arrayexpress
Project description:Purpose: Cucumber (Cucumis sativus L.) is an economically important vegetable crop worldwide, and cucumber fruit spine density has an important impact on the commercial value. However, little is known about the regulatory mechanism for the fruit spine formation.In this study, the transcriptome analyses of ovaries and pericarps from numerous-spine parent and few-spine parent were conducted to identify the gene regulatory networks involved in the formation and development of numerous fruit spines in cucumber. Methods: Cucumber mRNA profiles of ovaries and pericarps from numerous-spine parent and few-spine parent were generated by deep sequencing, in triplicate, using Illumina HiSeq 4000. Then, clean data (clean reads) were obtained by removing reads containing adapters, reads containing poly-N sequences and low-quality reads from the raw data. Simultaneously, the Q20, Q30 and GC contents of the clean data were calculated. All of the downstream analyses were based on the high-quality clean data. Clean paired-end reads were mapped to the reference genome using TopHat v2.0.12 (Trapnell et al. 2012). Then, the FPKM (fragments per kilobase of transcript sequence per million base pairs sequenced) value of each gene was calculated to estimate gene expression levels (Trapnell et al. 2010). Genes with an adjusted P-value < 0.05 identified by DESeq were assigned as differentially expressed genes(DEGs). Results: We generated 42.96-57.53 million raw reads from each library, and 39.85-54.02 million clean reads were obtained after the removal of low-quality reads and adapter sequences. Among the clean reads, 79.03-80.94% were mapped to the gene database . Based on the KEGG database, pathway enrichment analysis was performed to identify significantly enriched metabolic pathways or signal transduction pathways in DEGs. Plant hormone signal transduction was significantly enriched in up-regulated genes in both F_6DBF compared with M_6DBF and F_0DAA compared with M_0DAA. Conclusions: Based on the transcriptome analysis, we excavated possible biological regulatory networks involved in the formation and development of numerous fruit spines in cucumber. This work will promote the exploration of molecular mechanisms that regulate cucumber fruit spine density.
2018-01-27 | GSE109615 | GEO
Project description:We here report transcriptome profiling of human embryos at six successive developmental stages (i.e., Carnegie Stages 9 to 14), representing the first comprehensive gene expression database of early human organogenesis. Through a series of data mining and comparisons with the transcriptome during mouse embryogenesis and the disparate genomic data in human embryonic stem cells, we revealed that development potential during early human organogenesis is orchestrated by two dominant categories of genes. Specifically, most gradually induced genes are largely differentiation related whereas those gradually repressed are involved in both stemness- and differentiation-relevant aspects of the developmental potential. Further through integrative mining we uncovered a molecular network that well characterizes stemness- and differentiation-relevant aspects of developmental potentials during early human organogenesis. Analysis of published data showed that the network could serve to evaluate various differentiation models. Our results make a significant step towards understanding of human embryogenesis at a molecular level and suggest that developmental potentials are under control of shared regulatory events. With the consent of subjects and of the Ethical Review Board of the Xinhua Hospital affiliated to Shanghai Jiao Tong University School of Medicine,we collected human post-implantation embryos at six successive time periods: Carnegie Stages 9 to 14 (E20 to E32), covering the first third of organogenesis. Using the Affymetrix HG-U133A Genechip microarrays, three replicates were independently profiled for each stage to minimize the influence of the embryo-to-embryo variation. Raw expression data were normalized using Robust Multi-array Averaging (RMA) with quantile normalization. The resultant expression data were imported into Extraction of Differential Gene Expression (EDGE) software for the detection of probesets exhibiting the consistent changes within the triplicates and differential expression (denoted as hORG expression matrix). The hORG expression matrix was subjected to Linear Models for Microarray Data (LIMMA) bioconductor library for identification of stage-transitive transcriptome changes, and self-organizing map combined with singular value decomposition (SOM-SVD) as well as SOM-based two-phase gene clustering for the topology-preserving extraction of temporal expression patterns. Hypergeometric distribution-based enrichment analyses were performed to explore the underlying biological relevance of gene groups of interest using diverse external annotated databases. The Cytoscape plug-in jActiveModules was modified to identify expression-active connected subnetworks in the compiled human interaction/association network.
2010-03-18 | E-GEOD-18887 | biostudies-arrayexpress