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accession-icon GSE86643
Comparison of infloresence transcriptome of bp er vs. bp er fil
  • organism-icon Arabidopsis thaliana
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

BP and ER encode proteins that act synergistically to regulate Arabidopsis inflorescence architecture. To search for genes/proteins that influence the BP/ER signaling pathways, we conducted mutagenesis of the bp er double mutant and found that a mutation in FILAMENTOUS FLOWER (FIL) suppresses many of the morphological/developmental defects in bp er. Given that FIL encodes a Zn-finger containing transcription factor, microarray analysis was conducted on bp er vs. the bp er fil line to identify genes that are misregulated and which might implicate specific genes/proteins/pathways that are involved in regulating inflorescence development.

Publication Title

A novel Filamentous Flower mutant suppresses brevipedicellus developmental defects and modulates glucosinolate and auxin levels.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE26456
Killer cell Ig-like receptor (KIR) 3DL1 downregulation enhances inhibition of type 1 diabetes by autoantigen-specific regulatory T cells
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Varied genes may be responsible for the functional differences of distinct subsets of T cells. As a result, it is possible that regulatory T cells and pathogenic T cells may display a different set of gene profile regulating their functional status.

Publication Title

Killer cell Ig-like receptor (KIR) 3DL1 down-regulation enhances inhibition of type 1 diabetes by autoantigen-specific regulatory T cells.

Sample Metadata Fields

Specimen part

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accession-icon SRP068845
Next generation sequencing based analysis of the embryonic (E15.5) transcriptome of wild type and ß1-integrin-cKO lenses
  • organism-icon Mus musculus
  • sample-icon 9 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

ß1-integrin is the major ß-integrin subunit expressed in both lens epithelial and fiber cells. Our previous research indicated that ß1-integrin is essential for the maintenance of lens epithelial integrity and survival in late embryonic lens development (Simirskii et al, 2009). Lack of ß1-integrin in the lens will lead to severe micropthalmia and lack of lens in adult mice. In order to study the mechanisms involved, high throughput RNA sequencing (RNAseq) was performed to determine the genes that are differentially expressed between E15.5 wild type (WT) lenses and lenses that lack ß1-integrin expression due to the action of MLR10 CRE (ß1-cKO). The methodology used here is similar to the other RNAseq experiments that were previously performed in our lab (Manthey et al., 2014a and Audette et al, 2015) (Geo accession: GSE 49949 and GSE69940) . Meanwhile, the filtering criteria and processing procedures were also published (Manthey et al., 2014b). Compared to WT, 120 genes were found to be differentially expressed in ß1-cKO lenses. Moreover, bioinformatics tools (DAVID (the database for Annotation, Visulization and Integrated Discovery), and PANTHER (Protein Analysis through Evolutionary Relationship) classification system) as well as manual literature searching was applied for further data analysis. It showed that genes involved in EMT and stress-responses were differentially expressed in ß1-cKO compared to that of WT. Description of filtering criteria: To identify the differentially expressed genes, pair-wise qCML method exact tests with a Benjamini Hochberg false discovery rate correction greater than the threshold of P<0.05 was applied, which identified 5120 genes. As previously described (Manthey et al., 2014b), most of the genes differentially expressed between inbred C57Bl/6 <har> and mice with a mixed background were below a threshold of 2.5 fold change. Therefore, all differentially expressed genes with a less than 2.5 fold change were filtered out. Further, genes whose expression level were not high enough to be biologically significant were also filtered out, based on the RPMK (Reads per Kilobase per million reads) value. Any gene in the final list has RPKM greater that 2 in either WT or ß1-cKO samples, a value that corresponds to approximately 1 mRNA molecule per cell. By applying a combination of these filtering criteria, 120 differentially expressed genes were found, which could potentially elucidate the molecular connections between conditional deletion of ß1-intergrin from the lens and the observed phenotypic abnormalities. Manthey, A. L., Lachke, S. A., FitzGerald, P. G., Mason, R. W., Scheiblin, D. A., McDonald, J. H. and Duncan, M. K. (2014a) ''Loss of Sip1 leads to migration defects and retention of ectodermal markers during lens development'', Mech Dev 131: 86-110. Manthey, A. L., Terrell, A. M., Lachke, S. A., Polson, S. W. and Duncan, M. K. (2014b) ''Development of novel filtering criteria to analyze RNA-sequencing data obtained from the murine ocular lens during embryogenesis'', Genom Data 2: 369-374. Overall design: RNA-Seq comparison of C57Bl/6 <har> wild type controls and ß1-integrin conditional knockout lenses at E15.5, three biological replicates were used in each group

Publication Title

β1-Integrin Deletion From the Lens Activates Cellular Stress Responses Leading to Apoptosis and Fibrosis.

Sample Metadata Fields

Specimen part, Subject

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accession-icon GSE20700
Multi-level Support Vector Regression analysis to identify condition-specific regulatory networks
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

The identification of gene regulatory modules is an important yet challenging problem in computational biology. While many computational methods have been proposed to identify regulatory modules, their initial success is largely compromised by a high rate of false positives, especially when applied to human cancer studies. New strategies are needed for reliable regulatory module identification.

Publication Title

Multilevel support vector regression analysis to identify condition-specific regulatory networks.

Sample Metadata Fields

Sex, Age, Cell line, Race

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accession-icon GSE35321
Gene expression changes with loss of H3f3b
  • organism-icon Mus musculus
  • sample-icon 14 Downloadable Samples
  • Technology Badge IconIllumina MouseRef-8 v2.0 expression beadchip

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Endogenous mammalian histone H3.3 exhibits chromatin-related functions during development.

Sample Metadata Fields

Specimen part

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accession-icon GSE42310
COHCAP: City of Hope CpG Island Analysis Pipeline
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

COHCAP (City of Hope CpG Island Analysis Pipeline) is an algorithm to analyze single-nucleotide resolution DNA methylation data. It provides QC metrics, differential methylation for CpG Sites, differential methylation for CpG Islands, integration with gene expression data, and visualization of methylation values. COHCAP is currently the only DNA methylation package that can handle integration with gene expression data, and the results of this study show that COHCAP can identify regions of differential methylation with ~50% concordance with gene expression. COHCAP is scalable for analysis of both cell line data and heterogeneous patient data, and it can identify known cancer biomarkers as well as intriguing new roles of epigenetic regulation in cancer (such as methylation of estrogen receptor in breast cancer patients). This study also uses cell line data to show that COHCAP is capable of analyzing Illumina methylation array and targeted bisulfite sequencing data, with either 1-group or 2-group study designs. The accuracy of COHCAP is accessed using qPCR, EpiTect, and comparison of COHCAP regions of differential methylation with MIRA peaks. This software is freely available at https://sourceforge.net/projects/cohcap/.

Publication Title

COHCAP: an integrative genomic pipeline for single-nucleotide resolution DNA methylation analysis.

Sample Metadata Fields

Disease, Cell line

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accession-icon GSE35301
Total Gene expression analysis of H3f3b conditional knockout MEFs
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIllumina MouseRef-8 v2.0 expression beadchip

Description

Total gene expression analysis was performed on CRE induced conditional knockout E12.5 MEFs relative to GFP infected control MEFs. Intent was to analyze the role of H3f3b in overall gene expression.

Publication Title

Endogenous mammalian histone H3.3 exhibits chromatin-related functions during development.

Sample Metadata Fields

Specimen part

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accession-icon GSE42307
COHCAP HCT116 Mutant Comparison [expression]
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Genome-wide expression and methylation differences are compared for a normal HCT116 cell line and a derived mutant with altered DNA methylation patterns.

Publication Title

COHCAP: an integrative genomic pipeline for single-nucleotide resolution DNA methylation analysis.

Sample Metadata Fields

Cell line

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accession-icon SRP162356
Global Long Terminal Repeat activation participates in establishing the unique gene expression program of classical Hodgkin Lymphoma [Primary RNA-Seq]
  • organism-icon Homo sapiens
  • sample-icon 10 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

Long terminal repeat (LTR) elements are wide-spread in the human genome and have the potential to act as promoters and enhancers. Their expression is therefore under tight epigenetic control. We previously reported that a member of the THE1B class of LTR elements in classical Hodgkin Lymphoma (cHL) acted as a promoter for the growth factor receptor gene CSF1R and that expression of this gene is required for tumor survival. However, to which extent and how such elements participate in globally shaping the unique cHL gene expression program is unknown. To address this question we mapped the genome-wide activation of THE1-LTRs in cHL cells using a targeted next generation sequencing approach (RACE-Seq). Integration of these data with global gene expression data from cHL and control B cell lines showed a unique pattern of LTR activation impacting on gene expression, including genes associated with the cHL phenotype. We also show that global LTR activation is induced by strong inflammatory stimuli. Together these results demonstrate that LTR activation provides an additional layer of gene deregulation in classical Hodgkin lymphoma and highlight the potential impact of genome-wide LTR activation in other inflammatory diseases. Overall design: RNA-Seq in laser capture microdissected (LCM) tumour (TU) and non tumour cells (NTC) primary HL material from patient samples

Publication Title

Global long terminal repeat activation participates in establishing the unique gene expression programme of classical Hodgkin lymphoma.

Sample Metadata Fields

Specimen part, Subject

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accession-icon SRP068078
Methylomes and Transcriptomes of Human Pluripotent-to-Cardiomyocyte Differentiation [RNA-seq]
  • organism-icon Homo sapiens
  • sample-icon 30 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2500

Description

In this report, Tompkins et al describe the derivation, differentiation stage-specific purification, and genome-wide analysis of cardiomyocytes derived from hESCs. Key features of the molecular programs that define human cardiac muscle cell differentiation were described and researchers observed that cells may harbor epigenetic DNA methylation “memories” that reflect the gene activation history of important developmental genes. Overall design: For RNA-seq. Cardiomyocyte differentiation from human embryonic stem cells (H7). 11 time point pilot time series. D3 and D4 samples FACS sorted for primitive and cardiac mesoderm isolation, respectively. Data from negatives sorts (minus) included as well.

Publication Title

Mapping Human Pluripotent-to-Cardiomyocyte Differentiation: Methylomes, Transcriptomes, and Exon DNA Methylation "Memories".

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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