Filters
Technology
Platform
GSE54484
Homo sapiens
11 Downloadable Samples
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
View Samples- Bos taurus
- 6 Downloadable Samples
- 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
View Samples- Danio rerio
- 1138 Downloadable Samples
Illumina 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
View Samples- Danio rerio
- 415 Downloadable Samples
- Illumina 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
View Samples- Danio rerio
- 28 Downloadable Samples
- NextSeq 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
View Samples- Danio rerio
- 2 Downloadable Samples
- NextSeq 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
View Samples- Mus musculus
- 12 Downloadable Samples
- Illumina 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
View Samples- Drosophila melanogaster
- 6 Downloadable Samples
- Illumina HiSeq 2000
Description
It has long been appreciated that striped pair-rule transcription factor expression is necessary for convergent extension in the early Drosophila embryo, although the mechanisms that link these transcriptional regulators to planar polarity in this tissue have long been elusive. The goal of this study was to determine the transcriptional tragets of the pair-rule transcription factors Eve and Runt in Drosophila blastoderm embryos. We compared the transcriptional profiles of late blastoderm embryos injected with either water or dsRNAs against both eve and runt to identify differentially expressed genes that may directly contribute to the establishment of planar polarity during Drosophila convergent extension. Overall design: Comparing the mRNA profiles from late blastoderm Drosophila embryos injected with either water (Water) or eve+runt dsRNAs (Eve), in triplicate, using Illumina HiSeq.
Publication Title
A positional Toll receptor code directs convergent extension in Drosophila.
Sample Metadata Fields
Subject
View Samples- Homo sapiens
- 22 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Pancreatic cancer is the fourth leading cause of cancer death. Lack of early detection technology for pancreatic cancer invariably leads to a typical clinical presentation of incurable disease at initial diagnosis. Oral fluid (saliva) meets the demand for non-invasive, accessible, and highly efficient diagnostic medium. The level of salivary analytes, such as mRNA and microflora, vary upon disease onset; thus possess valuable signatures for early detection and screening. In this study, we evaluated the performance and translational utilities of the salivary transcriptomic and microbial biomarkers for non-invasive detection of early pancreatic cancer. Two biomarker discovery technologies were used to profile transcriptome in saliva supernatant and microflora in saliva pellet. The Affymetrix Human Genome U133 Plus 2.0 Array was used to discover altered gene expression in saliva supernatant. The Human Oral Microbe Identification Microarray (HOMIM) was used to investigate microflora shift in saliva pellet. Biomarkers selected from both studies were subjected to an independent clinical validation using a cohort of 30 early pancreatic cancer, 30 chronic pancreatitis and 30 healthy matched-control saliva samples. Two panels of salivary biomarkers, including eleven mRNA biomarkers and two microbial biomarkers were discovered and validated for pancreatic cancer detection. The logistic regression model with the combination of three mRNA biomarkers (ACRV1, DMXL2 and DPM1) yielded a ROC-plot AUC value of 0.974 (95% CI, 0.896 to 0.997; P < 0.0001) with 93.3% sensitivity and 90% specificity in distinguishing pancreatic cancer patients from healthy subjects. The logistic regression model with the combination of two bacterial biomarkers (Neisseria elongata and Streptococcus mitis) yielded a ROC-plot AUC value of 0.895 (95% CI, 0.784 to 0.961; P < 0.0001) with 96.4% sensitivity and 82.1% specificity in distinguishing pancreatic cancer patients from healthy subjects. Importantly, the logistic regression model with the combination of four biomarkers (mRNA biomarkers, ACRV1, DMXL2 and DPM1; bacterial biomarker, S. mitis) could differentiate pancreatic cancer patients from all non-cancer subjects (chronic pancreatitis and healthy control), yielding a ROC-plot AUC value of 0.949 (95% CI, 0.877 to 0.985; P < 0.0001) with 92.9% sensitivity and 85.5% specificity. This study comprehensively compared the salivary transcriptome and microflora between pancreatic cancer and control subjects. We have discovered and validated eleven mRNA biomarkers and two microbial biomarkers for early detection of pancreatic cancer in saliva. The logistic regression model with four salivary biomarkers can detect pancreatic cancer specifically without the complication of chronic pancreatitis. This is the first report demonstrating the value of multiplex salivary biomarkers for the non-invasive detection of a high impact systemic cancer.
Publication Title
Salivary transcriptomic biomarkers for detection of resectable pancreatic cancer.
Sample Metadata Fields
No sample metadata fields
View Samples- Homo sapiens
- 19 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
We profiled gene expression at the maternal-fetal interface during the second trimester of pregnancy (13-22 wks) in trisomy 13 (T13; Patau syndrome, n = 4), trisomy 18 (T18; Edwards syndrome, n = 4), trisomy 21 (T21; Down syndrome, n = 8), and in euploid pregnancies (n = 4). FISH confirmed the ploidy of the samples. Global transcriptional profiling identified differentially expressed transcripts ( 2-fold) in T21 (n = 160), T18 (n = 80), and T13 (n = 125). The majority were upregulated. Unexpectedly, most of the misexpressed genes were not located on the relevant trisomic chromosome, suggesting genome-wide dysregulation. A much smaller proportion of the differentially expressed transcripts were encoded on the aneuploid chromosome, also implicating gene dosage (1-5). In T21, <10% of the genes were transcribed from that chromosome, all but one from the Down syndrome critical region (21q21-22), which is postulated to play an important role in the clinical phenotype. For T13 and T18, a higher proportion of the overexpressed genes were located on the trisomic chromosome. In T13, 15% of the upregulated genes were on the affected chromosome; 15 resided on the long arm, 13q11-14. In T18, the percentage increased to 24, 15 of which were also located on the long arm (18q11-22). Our data suggested that the placental (and possibly fetal) phenotypes that are associated with T13, T18 and T21 are driven by the combined effects of genome-wide phenomena and increased gene dosage from critical regions of the triploid chromosome.
Publication Title
Placental transcriptomes in the common aneuploidies reveal critical regions on the trisomic chromosomes and genome-wide effects.
Sample Metadata Fields
Specimen part
View Samples