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accession-icon SRP082964
Human Osteosarcoma Transcriptome
  • organism-icon Homo sapiens
  • sample-icon 5 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Osteosarcoma (OS) is one of the most aggressive bone malignancy. Sub-optimal therapy has irretrievably compromised chances of survival of OS patients for years. Also lack of extensive research on this rare disease has hindered its therapeutic development. Cisplatin (CDDP) is an integral part of current treatment regime for OS. However, despite the proven benefits of CDDP, acquisition of resistance impedes therapy. Also, the molecular effects post CDDP insult in OS cells is poorly understood. Hence, we characterized molecular alterations associated with CDDP-exposure and resistance in OS cells. Resistance to CDDP in OS cells was developed and deep sequencing of mRNA was performed. It depicted an altered transcriptomic signature of resistant cells with enrichment of pathways regulating proliferation. Overall, a significant up-regulation of coding-RNAs and down-regulation of non-coding-RNAs were obtained. Further, analysis of immediate effect of CDDP-shock showed an increase in autophagy and JNK signaling, acting as a pro-survival strategy. Regulatory connections between MAPK signaling and autophagy favoring survival under CDDP-shock was elucidated. Taken together, this is the first study portraying not only global transcriptomic alterations in resistant OS cells but also showing key molecular changes associated with CDDP-insult in OS cells. Our results can be better utilized for future therapeutic benefit. Overall design: We analyzed 5 samples, each being the representative of stages in the acquisition of chemoresistance. Control was the parental HOS cell line with which other comparisons are/will be made in future.

Publication Title

Transcriptomic analysis associated with reversal of cisplatin sensitivity in drug resistant osteosarcoma cells after a drug holiday.

Sample Metadata Fields

Specimen part, Cell line, Treatment, Subject

View Samples
accession-icon GSE3726
Prognostic gene signatures can be measured with samples stored in RNAlater
  • organism-icon Homo sapiens
  • sample-icon 104 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

A number of breast or colon specific genes predictive of the relapse status were used in comparing the outcome from matched fresh frozen and stored in RNAlater preservative.

Publication Title

Prognostic gene expression signatures can be measured in tissues collected in RNAlater preservative.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP098580
RNA-seq analysis of gene expression in adult head of Canton-S and Bully lines
  • organism-icon Drosophila melanogaster
  • sample-icon 16 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Goal: Identify genes that are differentially expressed in hyper-aggressive Bully line. We used wildtype Canton-S flies as control. We also explored the effect of developmental temperature on gene expression. Overall design: Total RNA were extracted from 6-day-old adult heads from Canton-S or Bully lines that were raised at 19C or 25C. A total of 4 samples were obtained. For each sample, 2 independent biological replicates were included.

Publication Title

Putative transmembrane transporter modulates higher-level aggression in <i>Drosophila</i>.

Sample Metadata Fields

Age, Specimen part, Subject

View Samples
accession-icon GSE96796
Protein disulfide isomerase inhibition synergistically enhances the efficacy of sorafenib for hepatocellular carcinoma
  • organism-icon Homo sapiens
  • sample-icon 18 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip (gene symbol), Illumina HumanHT-12 V4.0 expression beadchip

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Protein disulfide isomerase inhibition synergistically enhances the efficacy of sorafenib for hepatocellular carcinoma.

Sample Metadata Fields

Specimen part, Cell line

View Samples
accession-icon GSE96792
Protein disulfide isomerase inhibition synergistically enhances the efficacy of sorafenib for hepatocellular carcinoma [Hep3B]
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

Sorafenib is the only approved targeted drug for hepatocellular carcinoma (HCC), but its effect on patients survival gain is limited and varies over a wide range depending on patho-genetic conditions. Thus, enhancing the efficacy of sorafenib and finding a reliable predictive biomarker are crucuial to achieve efficient control of HCCs. In this study, we employed a systems approach by combining transcriptome analysis of the mRNA changes in HCC cell lines in response to sorafenib with network analysis to investigate the action and resistance mechanism of sorafenib. Gene ontology and gene set analysis revealed that proteotoxic stress and apoptosis modules are activated in the presence of sorafenib. Further analysis of the endoplasmic reticulum (ER) stress network model combined with in vitro experiments showed that introducing an additional stress by treating the orally active protein disulfide isomerase (PDI) inhibitor (PACMA 31) can synergistically increase the efficacy of sorafenib in vitro and in vivo, which was confirmed using a mouse xenograft model. We also found that HCC patients with high PDI expression show resistance to sorafenib and poor clinical outcomes, compared to the low PDI expression group. These results suggest that PDI is a promising therapeutic target for enhancing the efficacy of sorafenib and can also be a biomarker for predicting sorafenib responsiveness.

Publication Title

Protein disulfide isomerase inhibition synergistically enhances the efficacy of sorafenib for hepatocellular carcinoma.

Sample Metadata Fields

Specimen part, Cell line

View Samples
accession-icon GSE96794
Protein disulfide isomerase inhibition synergistically enhances the efficacy of sorafenib for hepatocellular carcinoma [Huh7]
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

Sorafenib is the only approved targeted drug for hepatocellular carcinoma (HCC), but its effect on patients survival gain is limited and varies over a wide range depending on patho-genetic conditions. Thus, enhancing the efficacy of sorafenib and finding a reliable predictive biomarker are crucuial to achieve efficient control of HCCs. In this study, we employed a systems approach by combining transcriptome analysis of the mRNA changes in HCC cell lines in response to sorafenib with network analysis to investigate the action and resistance mechanism of sorafenib. Gene ontology and gene set analysis revealed that proteotoxic stress and apoptosis modules are activated in the presence of sorafenib. Further analysis of the endoplasmic reticulum (ER) stress network model combined with in vitro experiments showed that introducing an additional stress by treating the orally active protein disulfide isomerase (PDI) inhibitor (PACMA 31) can synergistically increase the efficacy of sorafenib in vitro and in vivo, which was confirmed using a mouse xenograft model. We also found that HCC patients with high PDI expression show resistance to sorafenib and poor clinical outcomes, compared to the low PDI expression group. These results suggest that PDI is a promising therapeutic target for enhancing the efficacy of sorafenib and can also be a biomarker for predicting sorafenib responsiveness.

Publication Title

Protein disulfide isomerase inhibition synergistically enhances the efficacy of sorafenib for hepatocellular carcinoma.

Sample Metadata Fields

Specimen part, Cell line

View Samples
accession-icon GSE96793
Protein disulfide isomerase inhibition synergistically enhances the efficacy of sorafenib for hepatocellular carcinoma [HepG2]
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

Sorafenib is the only approved targeted drug for hepatocellular carcinoma (HCC), but its effect on patients survival gain is limited and varies over a wide range depending on patho-genetic conditions. Thus, enhancing the efficacy of sorafenib and finding a reliable predictive biomarker are crucuial to achieve efficient control of HCCs. In this study, we employed a systems approach by combining transcriptome analysis of the mRNA changes in HCC cell lines in response to sorafenib with network analysis to investigate the action and resistance mechanism of sorafenib. Gene ontology and gene set analysis revealed that proteotoxic stress and apoptosis modules are activated in the presence of sorafenib. Further analysis of the endoplasmic reticulum (ER) stress network model combined with in vitro experiments showed that introducing an additional stress by treating the orally active protein disulfide isomerase (PDI) inhibitor (PACMA 31) can synergistically increase the efficacy of sorafenib in vitro and in vivo, which was confirmed using a mouse xenograft model. We also found that HCC patients with high PDI expression show resistance to sorafenib and poor clinical outcomes, compared to the low PDI expression group. These results suggest that PDI is a promising therapeutic target for enhancing the efficacy of sorafenib and can also be a biomarker for predicting sorafenib responsiveness.

Publication Title

Protein disulfide isomerase inhibition synergistically enhances the efficacy of sorafenib for hepatocellular carcinoma.

Sample Metadata Fields

Specimen part, Cell line

View Samples
accession-icon GSE57917
Expression data from E14.5 Onecut1 WT and KO animals
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

In this study, we examine the consequences of the loss of two related factors, Onecut1 and Onecut2, during mouse retinal development.

Publication Title

Onecut1 and Onecut2 play critical roles in the development of the mouse retina.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE57918
Expression data from adult Onecut2 WT and KO animals
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

In this study, we examine the consequences of the loss of two related factors, Onecut1 and Onecut2, during mouse retinal development and maturation.

Publication Title

Onecut1 and Onecut2 play critical roles in the development of the mouse retina.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE76237
Total blood monocyte gene expression from neovascular age-related macular degeneration patients and age-matched controls
  • organism-icon Homo sapiens
  • sample-icon 29 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Mononuclear phagocytes (MPs), including monocytes and macrophages, play complex roles in the pathogenesis of age-related macular degeneration (AMD). We aimed to perform global transcriptome analysis on monocytes from AMD patients to obtain additional insight to the role of MPs in AMD. Peripheral blood was taken from treatment-nave neovascular AMD (nvAMD) patients (n=14), and age-matched controls (n=15). Peripheral blood mononuclear cells (PBMCs) were separated and monocytes were isolated via negative selection. Gene expression was evaluated with Affymetrix Gene1.0 ST microarrays. Statistical/bioinformatics analysis was performed using open sourceware programs.

Publication Title

Transcriptome Analysis on Monocytes from Patients with Neovascular Age-Related Macular Degeneration.

Sample Metadata Fields

Specimen part, Disease, Disease stage

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)

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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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