Ontology highlight
ABSTRACT:
PROVIDER: PRJNA506218 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:The musculoskeletal system is integrated by tendons that are characterized by expression of a functionally important transcription factor Scleraxis (Scx). To date, there has been no solid culture system for tenogenic differentiation. Here we developed the tenocyte induction method using induced pluripotent stem cells established from ScxGFP transgenic mice by monitoring fluorescence that reflects a series of dynamic differentiation process. Among several developmentally relevant factors, TGF-2 was the most potent inducer for differentiation of tenocytes expressing Tenomodulin, a mature differentiation marker. Single-cell RNA sequencing (scRNA-seq) revealed 11 distinct clusters including mature tenocyte population and tenogenic differentiation trajectory, which well recapitulates in vivo developmental process. Dataset of scRNA-seq and transcriptome of Scx deficient tendon enabled identification of Scx-related genes in which tendon-related genes are enriched. Collectively, this study leads to a new opportunity for tendon research and provides further insight into mechanistic understanding of the differentiation pathway to a tenogenic fate.
2022-03-09 | GSE168451 | GEO
Project description:Our studies used scRNA-seq analysis to get a full map of transcriptional profiles of enthesis cells and also a seprate Gli1-lineage enthesis stem cells. By harvesting enthesis cells from different development stages for scRNA-seq analysis, we revealed enthesis cell heterogeneity and identified six cell sub-populations using scRNA-seq. We infered cell differentiation trajectories for enthesis stem cells differentiating into mineralizing chondrocytes. A gene regulatory network analysis combined fluorescent in situ hybridization were then used to identify a number of transcription factors coordinating tenogenesis, chondrogenesis, and osteogenesis to form an enthesis with spatially graded mineralization.To further define the enthesis stem cell population, enthesis Gli1-lineage cells were isolated and their transcriptomes were characterized at single cell resolution. These specific Gli1-responsive cells had a linear trajectory and a capacity of chondrogenesis and osteogenesis. The full characterization of transcriptional landscape of tendon enthesis stem cells demonstrates a promising therapeutic strategies using this cell source for enthesis regeneration.
2022-12-01 | GSE182997 | GEO
Project description:Aging is a universal biological phenomenon linked to many diseases, such as cancer or neurodegeneration. However, the molecular mechanisms underlying aging, or how lifestyle interventions such as cognitive stimulation can ameliorate this process, are yet to be clarified. Here, we performed a multi-omic profiling, including RNA-seq, ATAC-seq, ChIP-seq, EM-seq, SWATH-MS and single cell Multiome scRNA and scATAC-seq, in the dorsal hippocampus of young and old mouse subjects which were subject to cognitive stimulation using the paradigm of environmental enrichment. In this study we were able to describe the epigenomic landscape of aging and cognitive stimulation.
2023-09-29 | PXD045567 | Pride
Project description:Age-associated B cells are considered a homogenoeus B cell sub-population whose accumulation has been linked to a altered immune response. We used single cell RNA sequencing (scRNA-seq) to analyze the diversity ABCs from different health conditions.
2023-04-17 | GSE207475 | GEO
Project description:In this study, we assess technical differences between commonly used single-cell RNA-Sequencing (scRNA-Seq) methods. We perform scRNA-seq on a homogenous population of mouse embryonic stem cells along with two kinds of control spike-in molecules to assess sensitivity and accuracy of these specific methods. In this dataset, we perform Smart-Seq2 method on Fluidigm C1 system and generate single-cell libraries using Nextera XT kit
2017-03-29 | E-MTAB-5485 | biostudies-arrayexpress
Project description:In this study, we assess technical differences between commonly used single-cell RNA-Sequencing (scRNA-Seq) methods. We perform scRNA-seq on a homogenous population of mouse embryonic stem cells along with two kinds of control spike-in molecules to assess sensitivity and accuracy of these specific methods. In this dataset, we perform SMARTer method on Fluidigm C1 system and generate single-cell libraries using Nextera XT kit
2017-03-28 | E-MTAB-5483 | biostudies-arrayexpress
Project description:In this study, we assess technical differences between commonly used single-cell RNA-Sequencing (scRNA-Seq) methods. We perform scRNA-seq on a homogenous population of mouse embryonic stem cells along with two kinds of control spike-in molecules to assess sensitivity and accuracy of these specific methods. In this dataset, we perform a replicate of Smart-Seq2 method on Fluidigm C1 system and generate single-cell libraries using Nextera XT kit
2017-03-29 | E-MTAB-5484 | biostudies-arrayexpress
Project description:During mouse embryogenesis, progenitors within the liver known as hepatoblasts give rise to adult hepatocytes and cholangiocytes. Hepatoblasts, which are specified at E8.5-E9.0, have been regarded as a homogeneous progenitor population that initiate differentiation from E13.5. Recently, scRNA-seq analysis has identified sub- populations of transcriptionally distinct hepatoblasts at E11.5. Here, we show that hepatoblasts are not only transcriptionally but also functionally heterogeneous, and that a subpopulation of E9.5-E10.0 hepatoblasts exhibit a previously unidentified early commitment to cholangiocyte fate. Importantly, we also identify a sub-population constituting 2% of E9.5-E10.0 hepatoblasts that express the adult stem cell marker Lgr5, and generate both hepatocyte and cholangiocyte progeny that persist for the lifespan of the mouse. Combining lineage tracing and scRNA-seq, we show that Lgr5 marks E9.5-E10.0 bipotent liver progenitors residing at the apex of a hepatoblast hierarchy. Notably, isolated Lgr5+ hepatoblasts can be clonally expanded in vitro into embryonic liver organoids, which can commit to either hepatocyte or cholangiocyte fates. Our study demonstrates functional heterogeneity within E9.5 hepatoblasts and identifies Lgr5 as a marker for a sub-population of bipotent liver progenitors.
2019-05-27 | GSE123103 | GEO
Project description:Pancreatic cancer is a complex disease with a desmoplastic stroma, extreme hypoxia, and inherent resistance to therapy. Understanding the signaling and adaptive response of such an aggressive cancer is key to making advances in therapeutic efficacy and understanding disease progression. Redox factor-1 (Ref-1), a redox signaling protein, regulates the DNA binding activity of several transcription factors, including HIF-1. The conversion of HIF-1 from an oxidized to reduced state leads to enhancement of its DNA binding. In our previously published work, knockdown of Ref-1 under normoxia resulted in altered gene expression patterns on pathways including EIF2, protein kinase A, and mTOR. In this study, single cell RNA sequencing (scRNA-seq) and proteomics were used to explore the effects of Ref-1 on metabolic pathways under hypoxia.Results: We also integrated the scRNA data analysis with the proteomic analysis and found that the differentially expressed genes and pathways identified from the scRNA-seq data are highly consistent to the significant proteins observed in the proteomics data, especially for the upregulated cell cycle and transcription pathways and downregulated metabolic, apoptosis and signaling pathways under hypoxia. Conclusion: The scRNA-seq and proteomics data consistently demonstrated down-regulated central metabolism pathways in APE1/Ref-1 knockdown vs scrambled control under both normoxia and hypoxia conditions. Experimental Methods: scRNA-seq comparing pancreatic cancer cells expressing less than 20% of the Ref-1 protein was analyzed using left truncated mixture Gaussian model. Matched samples were also collected for bulk proteomic analysis of the four conditions. scRNA-seq data was validated using proteomics and qRT-PCR. Ref-1’s role in mitochondrial function was confirmed using mitochondrial function assays and qRT-PCR. Results: We also integrated the scRNA data analysis with the proteomic analysis and found that the differentially expressed genes and pathways identified from the scRNA-seq data are highly consistent to the significant proteins observed in the proteomics data, especially for the upregulated cell cycle and transcription pathways and downregulated metabolic, apoptosis and signaling pathways under hypoxia. Conclusion: The scRNA-seq and proteomics data consistently demonstrated down-regulated central metabolism pathways in APE1/Ref-1 knockdown vs scrambled control under both normoxia and hypoxia conditions.
2021-09-09 | PXD020515 | Pride
Project description:Little is understood about the roles of tendon cells during flexor tendon healing. To better understand tendon cell functions, the Scx-Cre mouse was crossed to the DTR mouse model to facilitate scleraxis lineage cell depletion prior to acute flexor tendon injury and repair. WT (cre-) and experimental (cre+) mice underwent complete transection and repair of the flexor digitorum longus tendon. Repaired tendons were harvested at 14 and 28 days post-repair for bulk RNA-Seq analysis to examine possible mechanisms driving differential healing due to Scx lineage cell depletion.
2021-02-08 | GSE156157 | GEO