refine.bio
  • Search
      • Normalized Compendia
      • RNA-seq Sample Compendia
  • Docs
  • About
  • My Dataset
github link
Showing
of 289 results
Sort by

Filters

Technology

Platform

accession-icon SRP150181
Comparative gene expression analysis in the Arabidopsis thaliana root apex using RNA-seq and microarray transcriptome profiles [RNA-seq]
  • organism-icon Arabidopsis thaliana
  • sample-icon 24 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

The root apex is an important section of the plant root, involved in environmental sensing and cellular development. Analyzing the gene profile of root apex in diverse environments is important and challenging, especially when the samples are limiting and precious, such as in spaceflight. The feasibility of using tiny root sections for transcriptome analysis was examined in this study.To understand the gene expression profiles of the root apex, Arabidopsis thaliana Col-0 roots were sectioned into Zone-I (0.5 mm, root cap and meristematic zone) and Zone-II (1.5 mm, transition, elongation and growth terminating zone). Gene expression was analyzed using microarray and RNA seq.Both the techniques, arrays and RNA-Seq identified 4180 common genes as differentially expressed (with > two-fold changes) between the zones. In addition, 771 unique genes and 19 novel TARs were identified by RNA-Seq as differentially expressed which were not detected in the arrays. Single root tip zones can be used for full transcriptome analysis; further, the root apex zones are functionally very distinct from each other. RNA-Seq provided novel information about the transcripts compared to the arrays. These data will help optimize transcriptome techniques for dealing with small, rare samples. Overall design: Arabidopsis thaliana var. Columbia (COL-0) seedlings were grown on sterile solid media plates containing 0.5 % phytagel. The plates were vertically placed in growth chambers with continuous light (80-100 µmol m -2) at a constant temperature of 19° C. Eight day old seedlings were harvested into RNA-later solution in a 50 mL centrifuge tubes and stored at -20 °C freezer. The root tips were dissected into zone-I: 0.5mm from the tip including the root cap and root division zones, and zone-II: 1.5mm sections including root elongation and root hair zone. Microarray and sequencing experiments were performed.

Publication Title

Comparing RNA-Seq and microarray gene expression data in two zones of the <i>Arabidopsis</i> root apex relevant to spaceflight.

Sample Metadata Fields

Age, Specimen part, Subject

View Samples
accession-icon GSE55436
Genome-wide transcriptome analysis reveals ABA mediated response in Arabidopsis during gold (Aucl4-) treatment
  • organism-icon Arabidopsis thaliana
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Arabidopsis Gene 1.0 ST Array (aragene10st)

Description

Genome-wide transcriptome analysis was carried out in root tissue of Arabidopsis seedlings treated with gold (Au) as Chloroauric acid (HAuCl4). This study demonstrated remarkable changes in root transcriptome within the 12 h exposure. Most of the genes differentially expressed were related to glutathione binding, methylations, secondary metabolism, sugar metabolism, ABA, ethylene, auxin related signalling, transport and signal-transduction pathways.

Publication Title

Genome wide transcriptome analysis reveals ABA mediated response in Arabidopsis during gold (AuCl(-) 4) treatment.

Sample Metadata Fields

Specimen part, Treatment

View Samples
accession-icon GSE115555
Comparing RNA-Seq and microarray gene expression data in two zones of the Arabidopsis root apex relevant to spaceflight
  • organism-icon Arabidopsis thaliana
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Comparing RNA-Seq and microarray gene expression data in two zones of the &lt;i&gt;Arabidopsis&lt;/i&gt; root apex relevant to spaceflight.

Sample Metadata Fields

Age, Specimen part

View Samples
accession-icon GSE115486
Comparative gene expression analysis in the Arabidopsis thaliana root apex using RNA-seq and microarray transcriptome profiles [microarray]
  • organism-icon Arabidopsis thaliana
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

The root apex is an important section of the plant root, involved in environmental sensing and cellular development. Analyzing the gene profile of root apex in diverse environments is important and challenging, especially when the samples are limiting and precious, such as in spaceflight. The feasibility of using tiny root sections for transcriptome analysis was examined in this study.To understand the gene expression profiles of the root apex, Arabidopsis thaliana Col-0 roots were sectioned into Zone-I (0.5 mm, root cap and meristematic zone) and Zone-II (1.5 mm, transition, elongation and growth terminating zone). Gene expression was analyzed using microarray and RNA seq.Both the techniques, arrays and RNA-Seq identified 4180 common genes as differentially expressed (with > two-fold changes) between the zones. In addition, 771 unique genes and 19 novel TARs were identified by RNA-Seq as differentially expressed which were not detected in the arrays.

Publication Title

Comparing RNA-Seq and microarray gene expression data in two zones of the &lt;i&gt;Arabidopsis&lt;/i&gt; root apex relevant to spaceflight.

Sample Metadata Fields

Age, Specimen part

View Samples
accession-icon GSE46528
Hepatitis C Virus Infection Activates a Novel Innate Pathway Involving IKK in Lipogenesis and Viral Assembly
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Hepatitis C virus interacts extensively with host factors not only to establish productive infection but also to trigger unique pathological processes. Our recent genome-wide siRNA screen demonstrated that IKK is a critical host factor for HCV. Here we describe a novel NF-B-independent and kinase-mediated nuclear function of IKK in HCV assembly. HCV infection, through its 3-untranslated region, interacts with DDX3X to activate IKK, which translocates to the nucleus and induces a CBP/p300-mediated transcriptional program involving SREBPs. This novel innate pathway induces lipogenic genes and enhances core-associated lipid droplet formation to facilitate viral assembly. Chemical inhibitors of IKK suppress HCV infection and IKK-induced lipogenesis, offering a proof-of-concept approach for novel HCV therapeutic development. Our results show that HCV commands a novel mechanism to its advantage by exploiting intrinsic innate response and hijacking lipid metabolism, which likely contributes to a high chronicity rate and the pathological hallmark of steatosis in HCV infection.

Publication Title

Hepatitis C virus infection activates an innate pathway involving IKK-α in lipogenesis and viral assembly.

Sample Metadata Fields

Cell line, Treatment

View Samples
accession-icon SRP142503
BET bromodomain dependency in EWS/ETS driven Ewing Sarcoma
  • organism-icon Homo sapiens
  • sample-icon 22 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

The pathognomonic EWS/ETS fusion transcription factors drive Ewing sarcoma (EWS) by orchestrating an oncogenic transcription program. Therapeutic targeting of EWS/ETS has not been successful; therefore identifying mediators of the EWS/ETS function could offer new therapeutic targets. Here we describe the dependency of chromatin reader BET bromodomain proteins in EWS/ETS driven transcription and investigate the potential of BET inhibitors in treating this lethal cancer. Similar to EWS/ETS fusions, knockdown of BET proteins BRD2/3/4 severely impaired the oncogenic phenotype of EWS cells. Notably, EWS/FLI1 and EWS/ERG was found to be in a transcriptional complex consisting of BRD4. RNA-Seq analysis upon BRD4 knockdown or its pharmacologic inhibition by the BET inhibitor JQ1 revealed an attenuated EWS/ETS transcriptional signature. In contrast to other reports, JQ1 reduced proliferation, and induced apoptosis through MYC-independent mechanism without affecting EWS/ETS protein levels, which was further confirmed by depleting BET proteins using PROTAC-BET degrader (BETd). Interestingly, polycomb repressive complex 2 (PRC2) associated factor PHF19 was downregulated by JQ1/BETd or BRD4 knockdown in multiple EWS cells. ChIP-seq analysis revealed occupancy of EWS/FLI1 at a distal regulatory element of PHF19 and its subsequent knockdown resulted in downregulation of PHF19 expression. Furthermore, deletion of PHF19 by CRISPR-Cas9 system lead to a decreased tumorigenic phenotype and increased sensitivity to JQ1. Importantly, PHF19 expression was associated with worse prognosis of Ewing sarcoma patients. In vivo, JQ1 demonstrated anti-tumor efficacy in multiple mouse xenograft models of EWS. Together, these results indicate that EWS/ETS require BET epigenetic reader proteins for its transcriptional program including PHF19 expression, which can be mitigated by BET inhibitors. Moreover, this study provides a clear rationale for the clinical utility of BET inhibitors in treating Ewing sarcoma. Overall design: Gene epxression by RNAseq in the ewing sarcoma cell lines with knockdown of EWS-FLI1, BRD4 or JQ1 treament, knockout of PHF19

Publication Title

EWS/ETS-Driven Ewing Sarcoma Requires BET Bromodomain Proteins.

Sample Metadata Fields

Specimen part, Cell line, Treatment, Subject

View Samples
accession-icon GSE109283
Expression data of OsSHMT Arabidopsis
  • organism-icon Arabidopsis thaliana
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

Plants were exposed to NaCl (150mM) stress for 24 hours

Publication Title

Heterologous Expression of Serine Hydroxymethyltransferase-3 From Rice Confers Tolerance to Salinity Stress in &lt;i&gt;E. coli&lt;/i&gt; and Arabidopsis.

Sample Metadata Fields

Age

View Samples
accession-icon GSE22597
Expression data from Fine Needle Aspiration (FNA) biopsies from breast cancer patients
  • organism-icon Homo sapiens
  • sample-icon 81 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

This is a stage-matched case control study. Cases with clinical diagnosis of Inflammatory Breast Cancer (IBC) were selected after reviewing all medical records of the 440 FNA samples. IBC was defined as signs of erythema and edema (peau dorange) involving at least one third of the skin and rapid clinical presentation. Presence of tumor emboli in the dermal lymphatics of the involved skin in the pathology report was not required for inclusion as IBC. Controls were selected to match for T stage, all T4a-c tumors in the data set were included as controls. IBC breast cancer are all T4d breast cancer.

Publication Title

Different gene expressions are associated with the different molecular subtypes of inflammatory breast cancer.

Sample Metadata Fields

Age, Disease stage

View Samples
accession-icon GSE71021
Endothelin-Mediated Changes in Gene Expression in Isolated Purified Rat Retinal Ganglion Cells
  • organism-icon Rattus norvegicus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome 230 2.0 Array (rat2302)

Description

A growing body of evidence suggests that the vasoactive peptides endothelins (ETs) and their receptors (primarily the ETB receptor) are contributors to neurodegeneration in glaucoma. However, ETs actions in retinal ganglion cells (RGCs) are not fully understood. The purpose of this study was to determine ETs effects on gene expression in primary RGCs.

Publication Title

Endothelin-Mediated Changes in Gene Expression in Isolated Purified Rat Retinal Ganglion Cells.

Sample Metadata Fields

Specimen part

View Samples
accession-icon SRP112902
O-glcnAc reprograms cellular energetics
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Dysfunctional mitochondria and generation of reactive oxygen species (ROS) promote chronic diseases, which have spurred interest in the molecular mechanisms underlying these conditions. Previously, we have demonstrated that disruption of post-translational modification of proteins with ß-linked N-acetylglucosamine (O- glcnAcylation) via overexpression of the O-glcnAc–regulating enzymes O- glcnAc transferase (OGT) or O- glcnAcase (OGA) impairs mitochondrial function. Here, we report that sustained alterations in O- glcnAcylation either by pharmacological or genetic manipulation also alters metabolic function. Sustained O-glcnAc elevation in SH-SY5Y neuroblastoma cells increased OGA expression and reduced cellular respiration and ROS generation. Cells with elevated O-glcnAc levels had elongated mitochondria and increased mitochondrial membrane potential, and RNA-Seq in SH-SY5Y cells indicated transcriptome reprogramming and down regulation of the NRF2-mediated antioxidant response. Sustained O-glcnAcylation in mice brain and liver validated the metabolic phenotypes observed in the cells, and OGT knockdown in the liver elevated ROS levels, impaired respiration, and increased the NRF2 antioxidant response. Moreover, elevated O-glcnAc levels promoted weight loss and lowered respiration in mice and skewed the mice toward carbohydrate-dependent metabolism as determined by indirect calorimetry. In summary, sustained elevation in O-glcnAcylation coupled with increased OGA expression reprograms energy metabolism, a finding that has potential implications for the etiology, development, and management of metabolic diseases. Overall design: SY5Y cells were adapted to long term O-glcnAcase (OGA) inhibition using the specific OGA inhibitor Thiamet-G (tmg) or glucosamine treatment for 3 weeks. After adaptation to the growth conditions, cells were harvest and RNA isolated for Next Generation RNA sequencing. Briefly, cDNA library was prepared using Illumina TruSeq Stranded mRNA sample preparation kit (Illumina) as manufacturer's instruction. Total RNA was isolated using the same method as previously described and 800 ng of the total RNA per reaction was used to initiate the protocol. The quality of RNA sequencing results was first assessed using FastQC (0.11.2). RSEM (1.2.22) was utilized to align the reads to the human reference genome HG38 and to calculate gene expression values. EdgeR (3.14.0) was then used to normalize the expression values using the TMM-method (weighted trimmed mean of M-values), and for differential expression analyses. First, the negative binomial conditional common likelihood was maximized to estimate a common dispersion value across all genes (estimateCommonDisp). Next, tagwise dispersion values were estimated by an empirical Bayes method based on weighted conditional maximum likelihood (estimateTagwiseDisp). Finally, the differentially gene expression was calculated by computing genewise exact tests for differences in the means between two groups of negative-binomially distributed counts. Hierarchical clustering analysis was determined using Euclidean distance. The following R-packages were utilized for calculations and visualizations: plots and edgeR.

Publication Title

Sustained <i>O-</i>GlcNAcylation reprograms mitochondrial function to regulate energy metabolism.

Sample Metadata Fields

Specimen part, Cell line, Subject

View Samples
...

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)

fund-icon Fund the CCDL

Developed by the Childhood Cancer Data Lab

Powered by Alex's Lemonade Stand Foundation

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.

BSD 3-Clause LicensePrivacyTerms of UseContact