Photoreceptor disorders are collectively known as retinal degeneration (RD), and include retinitis pigmentosa (RP), cone-rod dystrophy and age related macular degeneration (AMD). These disorders are largely genetic in origin; individual mutations in any one of >200 genes cause RD, making mutation specific therapies prohibitively expensive. A better treatment plan, particularly for late stage disease, may involve stem cell transplants into the photoreceptor or ganglion cell layers of the retina. Stem cells from young mouse retinas can be transplanted, and can form photoreceptors in adult retinas. These cells can be grown in tissue culture, but can no longer form photoreceptors. We have used microarrays to investigate differences in gene expression between cultured retinal progenitor cells (RPCs) that have lost photoreceptor potential, postnatal day 1 (pn1) retinas and the postnatal day 5 (pn5) retinas that contain transplantable photoreceptors. We have also compared FACS sorted Rho-eGFP expressing rod photoreceptors from pn5 retinas with Rho-eGFP negative cells from the same retinas. We have identified over 300 genes upregulated in rod photoreceptor development in multiple comparisons, 37 of which have been previously identified as causative of retinal disease when mutated. It is anticipated that this research should bring us closer to growing photoreceptors in culture and therefore better treatments for RD. This dataset is also a resource for those seeking to identify novel retinopathy genes in RD patients.
Gene expression changes during retinal development and rod specification.
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View SamplesLong-term dynamic compression enhanced the mechanical properties of MSC-seeded constructs only when loading was initiated after 21 days of chondrogenic differentiation. This study examined the molecular differences of chondrogenic MSCs compared to undifferentiated MSCs (TGF-beta vs no TGF-beta) and the effects of dynamic loading on MSC chondrogenesis (loading vs free-swelling).
Long-term dynamic loading improves the mechanical properties of chondrogenic mesenchymal stem cell-laden hydrogel.
Specimen part, Disease
View SamplesSpatial localization is a key determinant of cellular fate and behavior, but spatial RNA assays traditionally rely on staining for a limited number of RNA species. In contrast, single-cell RNA-seq allows for deep profiling of cellular gene expression, but established methods separate cells from their native spatial context. Here we present Seurat, a computational strategy to infer cellular localization by integrating single-cell RNA-seq data with in situ RNA patterns. We applied Seurat to spatially map 851 single cells from dissociated zebrafish (Danio rerio) embryos, inferring a transcriptome-wide map of spatial patterning. We confirmed Seurat’s accuracy using several experimental approaches, and used it to identify a set of archetypal expression patterns and spatial markers. Additionally, Seurat correctly localizes rare subpopulations, accurately mapping both spatially restricted and scattered groups. Seurat will be applicable to mapping cellular localization within complex patterned tissues in diverse systems. Overall design: We generated single-cell RNA-seq profiles from dissociated cells from developing zebrafish embryos (late blastula stage - 50% epiboly)
Spatial reconstruction of single-cell gene expression data.
Subject
View SamplesTranscriptional profile of PCSC spheres in SCM-1% KO (stem-like cells) vs adherent cultures in PCSC-Celprogen medium (differentiated-like cells)
Genomic profiling of tumor initiating prostatospheres.
Specimen part, Cell line
View SamplesThis SuperSeries is composed of the SubSeries listed below.
Reprogramming mouse fibroblasts into engraftable myeloerythroid and lymphoid progenitors.
Specimen part
View SamplesHere we show that hematopoietic transcription factors Scl, Lmo2, Runx1 and Bmi1 can convert a developmentally-distant lineage (fibroblasts) into induced hematopoietic progenitors (iHPs). We analyzed transcriptomic data for cell undergoing the transdifferentiation process at several time-points of the process.
Reprogramming mouse fibroblasts into engraftable myeloerythroid and lymphoid progenitors.
Specimen part
View SamplesSMART-seq2 was performed on single cells isolated from visually staged zebrafish embryos. Overall design: Samples were all sequenced in one batch. Some were generated with a 5'' UMI-tagged method, and others are full-length SMART-seq2.
Single-cell reconstruction of developmental trajectories during zebrafish embryogenesis.
Subject
View SamplesWild-type zebrafish embryos were mechanically dissociated and profiled using Drop-seq Overall design: Drop-seq was performed on 28 groups of 20-40 visually staged, mechanically dissociated embryos. Samples were combined and sequenced in batches DS2-DS5.
Single-cell reconstruction of developmental trajectories during zebrafish embryogenesis.
Subject
View SamplesWild-type and MZoep zebrafish embryos were mechanically dissociated and profiled using 10x Genomics pipeline. Overall design: 10x scRNA-seq was performed on visually staged, mechanically dissociated embryos. Samples were combined and sequenced in one batch.
Single-cell reconstruction of developmental trajectories during zebrafish embryogenesis.
Subject
View SamplesThe Fulani ethnic group is relatively protected from Plasmodium falciparum malaria, however a genetic basis for this is unknown. Therefore, we have performed a pilot study to examine global transcription and DNA methylation patterns in specific immune cell populations in the Fulani, compared to a sympatric ethnic group, the Mossi. When we compared uninfected and infected individuals in Fulani and Mossi, a strong transcriptional response was only detected in the monocyte fraction of Fulani, and this was not related to differences in DNA methylation. Overall design: RNA sequencing analysis of CD14+ (monocyte) and CD14- (predominantly lymphocyte), and DNA-methylation analysis of CD14+ (monocyte) fractions of PBMCs, from of Fulani and Mossi individuals, uninfected or infected with P.falciparum. This Series represents the RNA-Seq dataset.
Major transcriptional changes observed in the Fulani, an ethnic group less susceptible to malaria.
Subject
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