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accession-icon GSE27626
Responses of Zea mays root tissue to inoculation with the necrotrophic root pathogen Phytophthora cinnamomi
  • organism-icon Zea mays
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Maize Genome Array (maize)

Description

Phytophthora cinnamomi is a devastating soil-borne oomycete with a very broad host range however there remains a major gap in the understanding of plant resistance responses to the pathogen, furthermore, necrotrophic plant-pathogen interactions, particularly those of root pathogens, remain poorly understood. Zea mays exhibits non-host resistance to the pathogen and has been well characterised as a model species. Using the maize Affymetrix GeneChip array we conducted genome-wide gene expression profiling to elucidate the defence genes and pathways which are induced in the root tissue of a resistant plant species to the pathogen.

Publication Title

Transcriptional profiling of Zea mays roots reveals roles for jasmonic acid and terpenoids in resistance against Phytophthora cinnamomi.

Sample Metadata Fields

Specimen part, Time

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accession-icon GSE76706
The impact of transgenic Uchl1 on gene expression in germinal center B-cells from ImHABCL6 mice
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

This study seeks to understand the mechanisms behind enhanced lymphomagenesis observed in ImHABCL6/Uchl1 mice compared with ImHABCL6 alone. As the lymphomas arise from germinal center (GC) B-cells, we reasoned that transgenic Uchl1 altered the gene expression patterns in GC B-cells from these animals. We therefore isolated pre-malignant GC B-cells and examined the gene expression patterns to identify pathways affected by the addition of Uchl1.

Publication Title

UCH-L1 is induced in germinal center B cells and identifies patients with aggressive germinal center diffuse large B-cell lymphoma.

Sample Metadata Fields

Specimen part

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accession-icon GSE11798
Effects of Prenatal Tobacco Exposure on Gene Expression Profiling in Umbilical Cord Tissue
  • organism-icon Homo sapiens
  • sample-icon 30 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Maternal smoking doubles the risk of delivering a low birth weight infant. The purpose of this study was to analyze differential gene expression in umbilical cord tissue as a function of maternal smoking, with an emphasis on growth-related genes. We recruited 15 pregnant smokers and 15 women who never smoked during pregnancy to participate RNA was isolated from umbilical cord tissue collected and snap frozen at the time of delivery. Microarray analysis was performed using the Affymetrix GeneChip Scanner 3000.Six hundred seventy-eight probes corresponding to 545 genes were differentially expressed (i.e., an intensity ratio that exceeded +/-1.3 and a corrected significance value p < 0.005) in tissue obtained from smokers versus nonsmokers. Genes important for fetal growth, angiogenesis, or development of connective tissue matrix were up-regulated among smokers. The most highly up-regulated gene was CSH1, a somatomammotropin gene. Two other somatomammotropin genes (CSH2 and CSH-L1) were also up-regulated. The most highly down-regulated gene was APOBEC3A; other down-regulated genes included those that may be important in immune and barrier protection. PCR validation of the three somatomammotropin genes showed a high correlation between qPCR and microarray expression. Consequently, maternal smoking may be associated with altered gene expression in the offspring.

Publication Title

Effects of prenatal tobacco exposure on gene expression profiling in umbilical cord tissue.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP059938
RNA-sequencing analysis of liver from mice overexpressing miR-30c
  • organism-icon Mus musculus
  • sample-icon 11 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

This study aims to investigate the role of microRNA-30c on hepatic and metabolic gene expression and physiology Overall design: For this experiment, we used male C57BL/6 mice. At an age of 8 weeks, we started them on Western diet for one month and then injected them with either PBS or increasing dose of Scr or miR-30c mimic (2.5, 5.0, and 7.5 mg/kg) for 6 weeks. Liver from these mice were harvested and flash frozen. RNA from the livers of these mice were extracted and RNA-seq was performed.

Publication Title

MicroRNA-30c Mimic Mitigates Hypercholesterolemia and Atherosclerosis in Mice.

Sample Metadata Fields

No sample metadata fields

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accession-icon E-MEXP-1301
Transcription profiling by array of brain from zebrafish treated with ethanol or nicotine suggests conservation of neuro-adaptation pathways
  • organism-icon Danio rerio
  • sample-icon 7 Downloadable Samples
  • Technology Badge Icon Affymetrix Zebrafish Genome Array (zebrafish)

Description

Effect of ethanol or nicotine exposure on gene expression compared to control. Duplicate arrays from ethanol or nicotine treated animals compared with triplicate arrays from paired control animals. In total 4 treatment arrays (2 ethanol, 2 nicotine) and 3 control arrays (from control animals treated in parallel with ethanol-treated fish and nicotine-treated fish.)

Publication Title

Gene expression changes in a zebrafish model of drug dependency suggest conservation of neuro-adaptation pathways.

Sample Metadata Fields

Specimen part, Compound

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accession-icon GSE70498
The histone demethylase JMJD1A is essential to prostate cancer cells through regulation of c-Myc expression
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

Analysis of gene expresssion altered upon knockdown of histone demethylase JMJD1A in human prostate cancer cells. The objective is to elucidate the transcriptional programs that are controlled by JMJD1A in human prostate cancer.

Publication Title

Regulation of c-Myc expression by the histone demethylase JMJD1A is essential for prostate cancer cell growth and survival.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon SRP161678
Deconstructing Retinal Organoids: single cell RNA-Seq reveals the cellular components of human pluripotent stem cell-derived retina
  • organism-icon Homo sapiens
  • sample-icon 69 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

The rapid improvements in single cell sequencing technologies and analyses methods afford greater scope for dissecting organoid cultures composed of multiple cell types and create an opportunity to interrogate these models to understand tissue biology, cellular behaviour and interactions. To this end, retinal organoids generated from human embryonic stem cells (hESCs) were analysed by single cell RNA-Sequencing at three time points of differentiation. Combinatorial data from all time points revealed the presence of nine clusters, five of which corresponded to key retinal cell types, namely retinal pigment epithelium (RPE), retinal ganglion cells (RGCs), cone and rod photoreceptors and Müller glia cells. The remaining four clusters expressed genes typical of mitotic cells, extracellular matrix (ECM) components and those involved in retinal homeostasis. The cell clustering analysis revealed the decreasing presence of mitotic cells and RGCs, formation of a distinct RPE cluster, the emergence of cone and rod photoreceptors from photoreceptor precursors and an increasing number of Müller Glia cells over time. The pseudotime analysis resembled the order of cell birth during retinal development, with the mitotic cluster commencing the trajectory and the large majority of Müller glia being the latest. Together, these data demonstrate the feasibility and potential of single cell RNA-Seq to dissect the inherent complexity of the organoids and the orderly birth of key retinal cell types. Overall design: A hESC (H9) cell line harbouring a CRX-GFP reporter was differentiated to retinal organoids 25. Samples were collected at 60, 90 and 200 days, dissociated, partitioned into single cells using the Fluidigm C1 Single-Cell mRNA-Seq HT IFC and processed for scRNA-Seq.

Publication Title

Deconstructing Retinal Organoids: Single Cell RNA-Seq Reveals the Cellular Components of Human Pluripotent Stem Cell-Derived Retina.

Sample Metadata Fields

Cell line, Subject, Time

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accession-icon GSE13309
Tobacco Smoke Induces Polycomb-mediated Repression of Dickkopf-1 in Lung Cancer Cells
  • organism-icon Homo sapiens
  • sample-icon 23 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Polycomb-mediated repression of Dkk-1 activates Wnt signaling and enhances tumorigenic potential of lung cancer cells following tobacco smoke exposure

Publication Title

Tobacco smoke induces polycomb-mediated repression of Dickkopf-1 in lung cancer cells.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP150929
The lncRNA and mRNA sequencing result from mouse E12.5 cerebral cortex
  • organism-icon Mus musculus
  • sample-icon 7 Downloadable Samples
  • Technology Badge IconIon Torrent Proton

Description

To obtain the highly expressed lncRNA and mRNA at E12.5 cortice of mouse Overall design: The RNAs for RNA-seq from three E12.5 mouse cerebral cortices,and have 3 replicates

Publication Title

Opposite Roles of Wnt7a and Sfrp1 in Modulating Proper Development of Neural Progenitors in the Mouse Cerebral Cortex.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon GSE47109
BreastPRS is a Gene Expression Assay that Stratifies Intermediate-Risk Oncotype DX Patients into High or Low-Risk for Disease Recurrence
  • organism-icon Homo sapiens
  • sample-icon 239 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Molecular prognostic assays, such as Oncotype DX, are increasingly incorporated into the management of patients with invasive breast carcinoma. BreastPRS is a new molecular assay developed and validated from a meta-analysis of publically available genomic datasets. We applied the assay to matched fresh-frozen (FF) and formalin-fixed paraffin embedded (FFPE) tumor samples to translate the assay to FFPE. A linear relationship of the BreastPRS prognostic score was observed between tissue preservation formats. BreastPRS recurrence scores were compared with Oncotype DX recurrence scores from 246 patients with invasive breast carcinoma and known Oncotype DX results. Using this series, a 120-gene linear discriminant algorithm (LDA) was trained to predict Oncotype DX risk groups and then applied to series of untreated, node-negative, estrogen receptor (ER) positive patients from previously published studies with known clinical outcomes. Correlation of recurrence score and risk group between Oncotype DX and BreastPRS was statistically significant (P<0.0001). 59 of 260 (23%) patients from four previously published studies were classified as intermediate-risk when the 120-gene LDA was applied. BreastPRS reclassified the 59 patients into binary risk groups (high vs. low-risk). 23 (39%) patients were classified as low-risk 36 (61%) as high-risk [P=0.029, HR: 3.64, 95% CI: 1.40 to 9.50]. At 10 years from diagnosis, the low-risk group had a 90% recurrence-free survival (RFS) rate, compared to 60% for the high-risk group. BreastPRS recurrence score is comparable to Oncotype DX and can reclassify Oncotype DX intermediate-risk patients into two groups with significant differences in RFS. Further studies are needed to validate these findings.

Publication Title

BreastPRS is a gene expression assay that stratifies intermediate-risk Oncotype DX patients into high- or low-risk for disease recurrence.

Sample Metadata Fields

Disease stage

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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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