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accession-icon SRP058725
Whole transcriptome analysis of brain hippocampal tissue from young and old senescence-accelerated prone SAMP8 mice treated with control diet and J147-containing diet
  • organism-icon Mus musculus
  • sample-icon 10 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

AD drug discovery has rarely been addressed in the context of aging even though sporadic AD accounts for 99% of the cases. Phenotypic screens based upon old age-associated brain toxicities were used to develop the potent AD drug candidate J147. Here, we hypothesized that J147 would be effective against both brain aging and AD-associated pathology in rapidly aging SAMP8 mice, a model for early sporadic AD. An inclusive and integrative multi-omics approach was used to investigate protein expression, RNA expression, metabolite levels as well as cognition in old and young SAMP8 mice. J147 not only reduced the cognitive deficits and associated metabolic changes observed in old SAMP8 mice, it restored the levels of multiple markers of AD, vascular pathology, synaptic function, and inflammation to those approaching the young phenotype. Our data show that a drug candidate selected upon the basis of preventing old age-related brain toxicities also reduces AD-associated pathology. Overall design: The aim of this project was to investigate whether the AD drug candidate J147 protects SAMP8 mice from aging and AD-associated pathology and to assay the associated metabolic changes. Three three-month old male SAMP8 mice were fed with vehicle diet and three three-month old male SAMP8 mice with J147 diet until they reached ten months old. Four three-month old male SAMP8 mice were used as young control group.

Publication Title

A comprehensive multiomics approach toward understanding the relationship between aging and dementia.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE43682
Transcriptome of mouse pluripotent embryonic stem cells (mESC) cultured in R2i, 2i, PD and SB conditions
  • organism-icon Mus musculus
  • sample-icon 22 Downloadable Samples
  • Technology Badge IconIllumina MouseRef-8 v2.0 expression beadchip

Description

In this study we have analyzed the global gene expression of nave mouse embryonic stem cells in different culture conditions including R2i (PD0325901+SB431542), 2i (PD0325901+CHIR99021), and also PD0325901+LIF and SB431542+LIF to show the similarities and differences between the conditions in maintaining pluripotency.

Publication Title

Inhibition of TGFβ signaling promotes ground state pluripotency.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE18879
Effects of dynamic compressive loading on MSC chondrogenesis
  • organism-icon Bos taurus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Bovine Genome Array (bovine)

Description

Long-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).

Publication Title

Long-term dynamic loading improves the mechanical properties of chondrogenic mesenchymal stem cell-laden hydrogel.

Sample Metadata Fields

Specimen part, Disease

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accession-icon SRP055996
Spatial reconstruction of single-cell gene expression
  • organism-icon Danio rerio
  • sample-icon 1138 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Spatial 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)

Publication Title

Spatial reconstruction of single-cell gene expression data.

Sample Metadata Fields

Subject

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accession-icon SRP123526
Single-cell RNAseq (SMART-seq2) of wild-type (TLAB) and MZoep (tz57) zebrafish embryos at 50% epiboly stage
  • organism-icon Danio rerio
  • sample-icon 415 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

SMART-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.

Publication Title

Single-cell reconstruction of developmental trajectories during zebrafish embryogenesis.

Sample Metadata Fields

Subject

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accession-icon SRP124289
Drop-seq analysis of wild-type (TLAB) zebrafish embryos from high to 6-somite stage (12 timepoints)
  • organism-icon Danio rerio
  • sample-icon 28 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

Wild-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.

Publication Title

Single-cell reconstruction of developmental trajectories during zebrafish embryogenesis.

Sample Metadata Fields

Subject

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accession-icon E-MEXP-2140
Transcription profiling of Arabidopsis pickle mutants
  • organism-icon Arabidopsis thaliana
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

Wild type, pkl, pkr2 and pkl pkr2 plants were grown, and gene expression in roots was compared at the age of 5 days. <br></br>

Publication Title

CHD3 proteins and polycomb group proteins antagonistically determine cell identity in Arabidopsis.

Sample Metadata Fields

Age, Specimen part, Time

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accession-icon SRP137889
10x analysis of wild-type (TLAB) and MZoep zebrafish embryos at 6-somite stage
  • organism-icon Danio rerio
  • sample-icon 2 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

Wild-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.

Publication Title

Single-cell reconstruction of developmental trajectories during zebrafish embryogenesis.

Sample Metadata Fields

Subject

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accession-icon GSE54484
Identification of protein kinase C beta 2 regulated genes early in dendritic cell differentiation
  • organism-icon Homo sapiens
  • sample-icon 11 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Dendritic cells (DC) arise from a diverse group of hematopoietic progenitors and have marked phenotypic and functional heterogeneity. We have found previously that activation of protein kinase C beta 2 (PRKCB2) by cytokines or phorbol esters drives normal human CD34(+) hematopoietic progenitors and myeloid leukemic blasts (KG1, K562 cell lines, and primary patient blasts) to differentiate into DC, but the genetic program triggered by PRKCB2 activation that results in DC differentiation is only beginning to be characterized. Of the cPKC isoforms, only PRKCB2 was consistently activated by DC differentiation-inducing stimuli in normal and leukemic progenitors. To examine early changes in gene expression following PRKCB2 activation, we employed the following cell lines: (1) the CD34(+) human acute myeloid leukemia derived cell line KG1, which undergoes DC differentiation following phorbol ester treatment; (2) KG1a, a spontaneously arising differentiation-resistant daughter cell line of KG1 that has lost PRKCB2 expression; (3) clones established from KG1a that stably express exogenous PRKCB2-GFP fusion proteins and are once again able to undergo DC differentiation (KG1a-PRKCB2-GFP Clone E9 and Clone E11). We examined changes in gene expression in these cells following treatment with the phorbol ester PMA (phorbol 12-myristate 13-acetate) for 2 hours. Since KG1 and KG1a differ in PRKCB2 expression but have similar expression of the other protein kinase C isoforms, this protocol will allow for the identification of genes regulated by PRKCB2 activation.

Publication Title

Tumor-induced STAT3 signaling in myeloid cells impairs dendritic cell generation by decreasing PKCβII abundance.

Sample Metadata Fields

Sex, Age, Specimen part, Cell line, Treatment

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accession-icon SRP167832
The profiling of phospho-ribosomal protein S6 associated RNAs from mouse vomeronasal organ whole cell extract
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Phospho-ribosome associated RNAs were immunopurified using the antibodies against phospho-S6. The purified RNAs were converted to cDNAs, which were sequenced in Illumina HiSeq platform. Vomeronasal organs were extracted from male CD-1 animals exposed to either pup cues or fresh bedding. Overall design: Total of 6 samples, 2 conditions and 3 replicates

Publication Title

Multisensory Logic of Infant-Directed Aggression by Males.

Sample Metadata Fields

Sex, Specimen part, Cell line, Subject

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refine.bio is a repository of uniformly processed and normalized, ready-to-use transcriptome data from publicly available sources. refine.bio is a project of the Childhood Cancer Data Lab (CCDL)

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Cite refine.bio

Casey S. Greene, Dongbo Hu, Richard W. W. Jones, Stephanie Liu, David S. Mejia, Rob Patro, Stephen R. Piccolo, Ariel Rodriguez Romero, Hirak Sarkar, Candace L. Savonen, Jaclyn N. Taroni, William E. Vauclain, Deepashree Venkatesh Prasad, Kurt G. Wheeler. refine.bio: a resource of uniformly processed publicly available gene expression datasets.
URL: https://www.refine.bio

Note that the contributor list is in alphabetical order as we prepare a manuscript for submission.

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