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accession-icon GSE60856
Expression data of isolated motor neurons from SOD1 G93A mice, after G-CSF treatment
  • organism-icon Mus musculus
  • sample-icon 35 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Gene expression changes in spinal motor neurons of the SOD1G93A-transgenic model for ALS after treatment with G-CSF.

Publication Title

Gene expression changes in spinal motoneurons of the SOD1(G93A) transgenic model for ALS after treatment with G-CSF.

Sample Metadata Fields

Age, Specimen part

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accession-icon SRP072120
Whole transcriptome analysis of UUO mouse model of renal fibrosis reveals new molecular players in kidney diseases
  • organism-icon Mus musculus
  • sample-icon 10 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

The study demontrates differences in the transcriptome ( both of protein coding transcripts and long non-coding RNAs) in the unilateral ureteric obstruction model of renal fibrosis. Overall design: Renal tissue was studied from animals undergoing sham operation (as controls) or right ureteric ligation. Animals were sacrificed 2 and 8 days following ligation and the right kidney tissue was examined.

Publication Title

Whole-transcriptome analysis of UUO mouse model of renal fibrosis reveals new molecular players in kidney diseases.

Sample Metadata Fields

Sex, Age, Specimen part, Cell line, Subject

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accession-icon GSE144703
Human primary fetal lung fibroblasts (HFL-1) undergoing replicative senescence
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

We profiled the global gene expression of human primary fetal lung fibroblasts (HFL-1) at different stages while they were undergoing replicative senescence

Publication Title

Bioinformatic framework for analysis of transcription factor changes as the molecular link between replicative cellular senescence signaling pathways and carcinogenesis.

Sample Metadata Fields

Cell line

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accession-icon GSE15287
Transcriptomic computational analysis of mastic oil-treated Lewis lung carcinomas
  • organism-icon Mus musculus
  • sample-icon 40 Downloadable Samples
  • Technology Badge IconIllumina Mouse Ref-6 V1

Description

Mastic oil from Pistacia lentiscus variation chia, a blend of bioactive terpenes with recognized medicinal properties, has been recently shown to exert anti-tumor activity. Lewis lung carcinoma (LLC) cells are mastic oil-susceptible cells and were used in this work to study the effects of mastic oil at the transcriptomic level.

Publication Title

A transcriptomic computational analysis of mastic oil-treated Lewis lung carcinomas reveals molecular mechanisms targeting tumor cell growth and survival.

Sample Metadata Fields

Cell line

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accession-icon GSE64449
Gene expression data from Min6 cells grown in serum containing and serum free condtions following Hes3 knock down
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

The basic helix-loop-helix (bHLH) transcription factor hairy and enhancer of split (Hes3) is a member of the Hes/Hey gene family that regulates developmental processes in progenitor cells from various tissues. We demonstrated the Hes3 expression in mouse pancreatic tissue, suggesting it may have a role in modulating beta-cell function. We employed a transfection approach to address specific functions of Hes3. Hes3 RNA interference opposed the growth of the mouse insulinoma cell line Min6. Western blotting and PCR approaches specifically showed that Hes3 RNA interference opposes the expression of Pdx1 and insulin. Likewise, Hes3 knock down reduced evoked insulin release from Min6 cells.

Publication Title

Hes3 is expressed in the adult pancreatic islet and regulates gene expression, cell growth, and insulin release.

Sample Metadata Fields

Specimen part

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accession-icon GSE24581
Small Molecule Amiloride Modulates Oncogenic RNA Alternative Splicing to Devitalize Human Hepatocellular Carcinoma Huh-7 Cells
  • organism-icon Homo sapiens
  • sample-icon 5 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [probe set (exon) version (huex10st)

Description

Screening small molecules and drugs for activity to modulate alternative splicing, we found that amiloride, distinct from four other intracellular pH-affecting analogues, could normalize the splicing of BCL-X, HIPK3 and RON/MISTR1 transcripts in human hepatocellular carcinoma Huh-7 cells. To elucidate the underlying mechanisms, our proteomic analyses of amiloride-treated cells detected hypo-phosphorylation of splicing factor SF2/ASF and also decreased levels of SRp20 and two un-identified SR proteins. We further observed decreased phosphorylation of AKT, ERK1/2 and PP1, while increased phosphorylation of p38 and JNK, suggesting that amiloride treatment down-regulated kinases and up-regulated phosphatases in the signal pathways known to affect the splicing factor protein phosphorylation. The amiloride effects of splicing factor protein hypo-phosphorylation andnormalizedoncogenic RNA splicing were both abrogated by pre-treatment with a PP1 inhibitor. We then performed global exon array analysis of Huh-7 cells treated with amiloride for 24 hours. Using gene array chips (Affymetrix GeneChip Human Exon 1.0 ST Array of >518000 exons of 42974 genes) for exon array analysis (set parameters of correlation coefficient 0.7, splicing index -1.585 , and log2 ratio -1.585), we found that amiloride influenced the splicing patterns of 551 genes involving at least 584 exons, which included 495 known protein-coding genes involving 526 exons, many of which play key roles in functional networks of ion transport, extracellular matrix, cytoskeletons and genome maintenance. Cellular functional analyses revealed subsequent invasion and migration defects, cell cycle disruption, cytokinesis impairment, and lethal DNA degradation in amiloride-treated Huh-7 cells. This study thus provides mechanistic underpinnings for exploiting small molecule modulation of abnormal RNA splicing for cancer therapeutics.

Publication Title

Small molecule amiloride modulates oncogenic RNA alternative splicing to devitalize human cancer cells.

Sample Metadata Fields

Cell line

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accession-icon SRP092799
Testing the Ret and Sema3d genetic interaction in mouse enteric nervous system development
  • organism-icon Mus musculus
  • sample-icon 24 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

For most multigenic disorders, clinical manifestation (penetrance) and presentation (expressivity) are likely to be an outcome of genetic interaction between multiple susceptibility genes. Here, using gene knockouts in mice we evaluated genetic interaction between loss of Ret and loss of Sema3d, two Hirschsprung disease (HSCR) susceptibility genes. We intercrossed Ret and Sema3d double null heterozygotes to generate mice with the nine possible genotypes and assessed survival by counting various genotypes, myenteric plexus development by acetylcholinesterase (AchE) staining and embryonic day 12.5 (E12.5) gut transcriptome by RNA-sequencing. Survival rates of Ret wildtype, null heterozygote and null homozygote mice at E12.5, birth and weaning were not influenced by the genotypes at Sema3d locus and vice-versa. Loss of myenteric plexus was observed only in all Ret null homozygotes, irrespective of the genotypes at Sema3d locus, and Sema3d null heterozygote and homozygote mice had normal gut innervation. As compared to wildtype mice gut gene expression, loss of Ret in null homozygotes led to differential expression of ~300 genes, whereas loss of Sema3d in null homozygotes had no major consequence and there was no evidence supporting major interaction between the two genes influencing gut transcriptome. Overall, given the null alleles and phenotypic assays used, we did not find evidence for genetic interaction between Ret and Sema3d affecting survival, myenteric plexus formation or gut transcriptome. Overall design: poly-A RNA-seq in embryonic day 12.5 mouse gut from 3 wildtype males, 3 wildtype females, 3 Ret null homozyogote males, 3 Ret null homozyogote females, 3 Sema3d null homozyogote males, 3 Sema3d null homozyogote females, 3 Ret-Sema3d double null homozyogote males, 3 Ret-Sema3d double null homozyogote females

Publication Title

Testing the Ret and Sema3d genetic interaction in mouse enteric nervous system development.

Sample Metadata Fields

Sex, Specimen part, Cell line, Subject

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accession-icon GSE71343
Control of Peripheral Tolerance by Regulatory T Cell-Intrinsic Notch Signaling
  • organism-icon Mus musculus
  • sample-icon 15 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Notch receptors direct the differentiation of T helper (Th) cell subsets, but their influence on regulatory T (TR) cell responses is obscure. Interruption of Notch signaling in TR cells resulted in a super-regulatory phenotype, with suppression of TR cell Th1 programming and apoptosis as well as Th1 cell responses in systemic inflammation. In contrast, gain of function Notch1 signaling in TR cells resulted in lymphoproliferation, dysregulated Th1 responses and autoimmunity. To determine mechanisms by which Notch signaling may alter TR cell function, we compared the transcriptional profiles of splenic TR cells of Foxp3EGFPCre mice with those of Foxp3EGFPCreR26N1c/N1c (gain of function Notch signaling), Foxp3EGFPCreRBPJ/ (loss of function canonical Notch signaling), and Foxp3EGFPCreR26N1c/N1cRBPJ/ mice (gain of function/canonical loss of function Notch signaling).

Publication Title

Control of peripheral tolerance by regulatory T cell-intrinsic Notch signaling.

Sample Metadata Fields

Sex, Age, Specimen part

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accession-icon GSE75588
Transcriptomic analysis of Human Umbilical Vein Endothelial Cells (HUVEC) in response to compound treatment
  • organism-icon Homo sapiens
  • sample-icon 18 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

Human Umbilical Vein Endothelial Cells were treated with three newly synthesized compounds and DMSO as vehicle. Total RNA was isolated 6 and 24h after treatment and gene expression analysis was performed. Three independent experiments were performed, corresponding to rep1, rep2 and rep3. Experiment 1 (rep1) contained all substances at both time points tested. Experiment 2 (rep2) contained two of the compounds and control DMSO at both time points. Experiment 3 (rep3) contained the third compound and control DMSO at both time points.

Publication Title

Novel pyrazolopyridine derivatives as potential angiogenesis inhibitors: Synthesis, biological evaluation and transcriptome-based mechanistic analysis.

Sample Metadata Fields

Specimen part, Time

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accession-icon GSE110225
Expression data from 30 patients with colorectal cancer
  • organism-icon Homo sapiens
  • sample-icon 60 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2), Affymetrix Human Genome U133A Array (hgu133a)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Radiogenomic Analysis of F-18-Fluorodeoxyglucose Positron Emission Tomography and Gene Expression Data Elucidates the Epidemiological Complexity of Colorectal Cancer Landscape.

Sample Metadata Fields

Specimen part

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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)

fund-icon Fund the CCDL

Developed by the Childhood Cancer Data Lab

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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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