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accession-icon GSE83148
Expression data of HBV infected liver tissue
  • organism-icon Homo sapiens
  • sample-icon 120 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

We analyzed three clinical parameters with gene expression data from 122 liver tissues. Six healthy samples were used in validation.

Publication Title

Predictive model for inflammation grades of chronic hepatitis B: Large-scale analysis of clinical parameters and gene expressions.

Sample Metadata Fields

Specimen part

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accession-icon GSE61046
Expression data from mouse carotid arteries in response to wire-injury
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

IRF9 is ubiquitously expressed and mediates the effects of IFNs, previous study showed that IRF9 played an important role in immunity and cell fate decision. Our recent study revealed that IRF9 involved in cardiac hypertrophy, hepatic steatosis and insulin resistance. However, the function of IRF9 in VSMC and neointima formation was largely unknown. We found that IRF9 expression was significantly increased in the VSMCs of mouse carotid artery. More importantly, we generated SMC-specific IRF9 overexpression transgenic mice (IRF9 TG) and found that IRF9 TG significantly increased VSMC proliferation, migration and neointima formation compared with NTG mice in response to injury. To evaluate the underlying mechanism by which IRF9 promotes VSMC proliferation and migration after vascular injury, IRF9 TG and NTG mice were subjected to wire-injury and the carotid arteries were collected at 14 days post-injury. We combined 3-5 vessels for one sample, and 3 samples for each phenotype. Subsequently, a total of 400ng RNA was used following Affymetrix instruction and 10 ug of cRNA were hybridized for 16 hr at 45. GeneChips were scanned using the Scanner 7G and the data was analyzed with Expression Console using Affymetrix default analysis settings and global scaling as normalization method. RMA analysis was employed to evaluate the gene expression.

Publication Title

Interferon regulatory factor 9 is critical for neointima formation following vascular injury.

Sample Metadata Fields

Specimen part

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accession-icon SRP047481
Transcriptome analysis of Foxj3 or Zbtb18 stable expressed embryonic stem (ES) cell lines
  • organism-icon Mus musculus
  • sample-icon 7 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

To understand the specific mechanism by which Foxj3 and Zbtb18 control RA-induced neural directional differentiation of ESCs, total mRNAs of Foxj3-ES and Zbtb18-ES were extracted and used for RNA seq and transcriptome analyses. Compared with the control, 1331 genes were differentially expressed (P < 0.05) by twofold in Foxj3-ES (557 were underexpressed and 774 were overexpressed), and 1175 genes were differentially expressed (P < 0.05) by twofold in Zbtb18-ESCs (548 were underexpressed and 627 were overexpressed). Through Gene ontology and gene co-expression network analysis, we identified four critical genes in the neural regulatory networks: Olig1, Zic5, Erbb2, and Olig2. Our study shows that Foxj3 and Zbtb18 could trigger the gene regulatory networks of neurodevelopment by mediating the expression of Olig1, Zic5, Erbb2, and Olig2. Overall design: mRNA profiles of Foxj3 or Zbtb18 stable expressed embryonic stem cell lines by deep sequencing

Publication Title

Retinoic acid-induced upregulation of miR-219 promotes the differentiation of embryonic stem cells into neural cells.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE108524
Targeting the cMET pathway augments radiation response without adverse effect on hearing in NF2 schwannoma models
  • organism-icon Homo sapiens
  • sample-icon 29 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Transcriptome Array 2.0 (hta20)

Description

Neurofibromatosis type II (NF2) is a disease that needs new solutions. Vestibular schwannoma (VS) growth cause progressive hearing loss, and the standard treatment including surgery and radiotherapy, can further damage the nerve. There is an urgent need to identify an adjunct therapy that, by enhancing the efficacy of radiation, can help lower the radiation dose and preserve hearing. The mechanisms underlying deafness in NF2 are still unclear. One of the major limitations in studying tumor-induced hearing loss is the lack of mouse models that allows hearing test. Here we developed a cerebellopontine angle (CPA) schwannomas model that faithfully recapitulates the tumor-induced hearing loss. Using this model we discovered that cMET blockade by crizotinib (CRZ) enhanced schwannoma radiosensitivity by enhancing DNA damage, and CRZ treatment combined with low-dose radiation was as effective as high-dose radiation. CRZ treatment had no adverse effect on hearing; however, it did not affect tumor-induced hearing loss, presumably because cMET blockade did not change tumor HGF levels. cMET gene knockdown study independently confirmed the role of cMET pathway in mediating the effect of CRZ. Furthermore, we evaluated the translational potential of cMET blockade in human schwannomas. We found that human NF2-associated and sporadic VSs showed significantly elevated HGF expression and cMET activation compared to normal nerves, which correlated with tumor growth and cyst formation. Using organoid brain slice culture, cMET blockade inhibited the growth of patient-derived schwannomas. Our findings provide the rationale and necessary data for the clinical translation of combined cMET blockade with radiation therapy in NF2 patients.

Publication Title

Targeting the cMET pathway augments radiation response without adverse effect on hearing in NF2 schwannoma models.

Sample Metadata Fields

Sex, Age, Specimen part, Disease, Disease stage

View Samples
accession-icon GSE84044
Characterization of gene expression profile in HBV-related liver fibrosis patients
  • organism-icon Homo sapiens
  • sample-icon 121 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Hepatitis B virus (HBV) infection is a leading risk factor for liver fibrosis (LF) and hepatocellular carcinoma. Emerging evidence indicates that host genetic, virological and immunological factors will influence the fibrotic progress. Many previous studies have focused on specific pathways or genes included in LF mechanism, however global view of the whole genome expresion profile in HBV related LF patients never been studied, and the mechanisms underlying the promotion of liver fibrosis progression remain obscure. Here we collected liver biopsy samples from 124 chronic hepatitis B (CHB) patients and used Affymetrix HG U133 Plus 2.0 microarray to quantify the transcriptome of these patients. Through integrated data analysis, including geneset enrichment analysis (GSEA), weighted gene co-expression analysis (WGCNA), differential expressed gene (DEG) screening, trend test, principle component analysis (PCA) etc., we identified several key pathways and hub genes participated in the initiation and exacerbation of liver fibrotic progress. The function of these hub genes were also validated by in vitro and in vivo experiments using HepG2, Huh7 and LX-2 cell lines and transgenic mice. This is the first large-scale study investigating the gene expression profile in HBV-related LF patients which will be crucial for unlocking the gene functions and gene-gene correlations in fibrosis progess.

Publication Title

Characterization of gene expression profiles in HBV-related liver fibrosis patients and identification of ITGBL1 as a key regulator of fibrogenesis.

Sample Metadata Fields

Sex, Age, Specimen part

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accession-icon SRP112616
Expression profiling of the retina of pde6c, a zebrafish model of retinal degeneration
  • organism-icon Danio rerio
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

Retinal degeneration often affects the whole retina even though the disease-causing gene is specifically expressed in the light-sensitive photoreceptors. These retinal defects can potentially be determined by gene-expression profiling of the whole retina. In this study, we measured the gene-expression profile of retinas microdissected from a zebrafish pde6cw59 (pde6c) mutant. Its retinas display not only photoreceptor degeneration but also issues in other cell types starting from 4 days postfertilization (dpf). To capture these initial changes, we subjected pde6c and wild-type (WT) retinas at 5 dpf to RNA sequencing (RNA-Seq) on the Illumina HiSeq 2000 platform. The sequencing analyses indicate that the RNA-Seq dataset was of high quality. We also validated the RNA-Seq results by Reverse Transcription Quantitative Polymerase Chain Reaction (RT-qPCR) of seven phototransduction genes. We found that the fold changes of these genes measured by RT-qPCR highly correlated to those measured by RNA-Seq. Therefore, our RNA-Seq dataset likely captures the molecular changes in the whole pde6c retina. This dataset will facilitate the characterization of the molecular defects in the pde6c retina at the initial stage of retinal degeneration Overall design: 3 samples of pde6c mutant and 3 samples of wild type animals are analyzed.

Publication Title

Expression profiling of the retina of pde6c, a zebrafish model of retinal degeneration.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP065204
mRNA-seq Analysis of Transcriptomes of the PC9R and PC9 cells
  • organism-icon Homo sapiens
  • sample-icon 2 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

The goals of this study is to compare the whole genome transcriptome of gefitinib-resistant NSCLC cell line (PC9R) with its gefitinib-sensitive counterpart (PC9) using RNA-seq tecnology Methods: Genome-wide mRNA profiles of the PC9R and PC9 cells were generated by deep sequencing, using Illumina Hiseq2000. The sequence reads that passed quality filters were analyzed in the following steps: 1) RNA-seq reads were aligned to the hg19 genome assembly using TopHat (http://bioinformatics.oxfordjournals.org/content/25/9/1105.short) with the default parameters; 2) Expression index was generated using GFOLD V1.0.9 job count (http://bioinformatics.oxfordjournals.org/content/early/2012/08/23/bioinformatics.bts515); 3) Differential expression were calculated using GFOLD V1.0.9 job diff. Gene expression was quantified in rpkm (reads per kilobase of exon per million mapped sequence reads); 4) GFOLD, a generalized fold change, was used to rank the differentially expressed genes from the RNA-seq data. The GFOLD value can be considered as a reliable log2-fold change when only a single biological replicate is available Results: We found that hundreds of genes were either down- or up-regulated in the PC9R cells compared with the PC9 cells. Specifically, 6% of the total detected genes (1487 genes) were up-regulated in the PC9R cells, with a GFOLD value over 1, and 5% of the total detected genes (1112 genes) were down-regulated, with a GFOLD value less than -1. Conclusions: Our study reveals the differentially expressed genes in gefitinib-resistant NSCLC cells comparing with the sensitive cells in a genome-wide scale. This results help to provide the novel insight into the gefitinib-resistant mechanism. Overall design: The genome-wdie transcriptome study of gefitinib-resistant NSCLC cells (PC9R) comparing with the sensitive cells (PC9) using mRNA-seq technology

Publication Title

ERK inhibition represses gefitinib resistance in non-small cell lung cancer cells.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE185658
Rhinovirus-induced epithelial RIG-I inflammasome suppresses antiviral immunity and promotes inflammation in asthma and COVID-19
  • organism-icon Homo sapiens
  • sample-icon 48 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Balanced immune responses in airways of patients with asthma are crucial to succesful clearance of viral infection and proper asthma control.

Publication Title

Rhinovirus-induced epithelial RIG-I inflammasome suppresses antiviral immunity and promotes inflammation in asthma and COVID-19.

Sample Metadata Fields

Subject, Time

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accession-icon GSE81267
EED226, an allosteric PRC2 inhibitor, modulates gene transcription in EZH2 mutant lymphoma cell Karpas422 through PRC2 inhibition
  • organism-icon Homo sapiens
  • sample-icon 33 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Polycomb repressive complex (PRC) 2, containing minimally EZH2, EED and Suz12, is the H3 lysine 27 methyltransferase playing pivotal roles in transcriptional regulation. EZH2 is the catalytic subunit, and H3K27me3 activates PRC2 through binding EED to propagate the repressive mark. Cofactor SAM-competitive (SAM-C) PRC2 inhibitors (PRC2is) have been discovered to treat lymphoma and rhabdoid tumors. Here we report the discovery of EED226, a potent and selective PRC2i directly binding to the H3K27me3 pocket of EED. Upon binding, EED226 induces conformational change in EED protein. Interestingly, it inhibits both the basal and the H3K27me3-stimulated PRC2 activities. Furthermore, EED226 selectively pulled down the endogenous PRC2 complex from human cell lysates, specifically modulates H3K27 methylation and target genes similarly as SAM-C PRC2 inhibitors, and effectively regresses human lymphoma xenograft tumor in mouse. More importantly, EED226 potently inhibits the SAM-C inhibitor-resistant PRC2 and synergizes with SAM-C PRC2i in cell proliferation blocking. Together, EED226 is an inhibitor of PRC2 with a novel mechanism and represent a potential complementary strategy for PRC2-targeted cancer therapy.

Publication Title

An allosteric PRC2 inhibitor targeting the H3K27me3 binding pocket of EED.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon SRP067050
RNA-seq of poly(A)+, poly(A)- and poly(A)-/RNaseR RNAs from human PA1 cells
  • organism-icon Homo sapiens
  • sample-icon 3 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

We have used RNA-seq to examine circular RNAs from poly(A)- and poly(A)-/RNaseR RNAs in human PA1 cells Overall design: In order to identify novel circular RNAs from PA1 cells

Publication Title

Diverse alternative back-splicing and alternative splicing landscape of circular RNAs.

Sample Metadata Fields

No sample metadata fields

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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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