refine.bio
  • Search
      • Normalized Compendia
      • RNA-seq Sample Compendia
  • Docs
  • About
  • My Dataset
github link
Showing
of 117 results
Sort by

Filters

Technology

Platform

accession-icon GSE66463
Differentially expression profiling in a brain metastasis of a papillary thyroid carcinoma and its technical replicate vs. non-brain metastatic papillary thyroid carcinomas, and primary brain tumors
  • organism-icon Homo sapiens
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Experiment: Establishment of expression profiles in a brain metastasis from a PTC (RNA processing and hybridization to Affymetrix microarray done twice to yield a technical replicate), in non-brain metastatic, stage III and IV PTCs, and primary brain tumors. Biostatistics analysis identified genes and biofunctions related to the brain metastatic PTC.

Publication Title

Microarray expression profiling identifies genes, including cytokines, and biofunctions, as diapedesis, associated with a brain metastasis from a papillary thyroid carcinoma.

Sample Metadata Fields

Sex, Disease stage

View Samples
accession-icon GSE138198
Differentially expression profiling in Hashimoto's thyroiditis (HT), papillary thyroid carcinoma (PTC) with HT in background, PTC without HT in background, micro PTC (mPTC), and three normal thyroid samples (TN).
  • organism-icon Homo sapiens
  • sample-icon 33 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Experiment: Establishment of expression profiles in HT, PTC with HT, PTC without HT, and mPTC in comparison to TN samples. TN samples were downloaded as CEL files from the repository of the microarray vendor. Biostatistical analysis focussed in first instance on identifying genes and biofunctions related to HT and PTC with HT.

Publication Title

Genetic relationship between Hashimoto`s thyroiditis and papillary thyroid carcinoma with coexisting Hashimoto`s thyroiditis.

Sample Metadata Fields

Sex, Disease

View Samples
accession-icon GSE33892
Comparison of TEX and M9-ENL1 cell lines to HL60 and THP1 cell lines
  • organism-icon Homo sapiens
  • sample-icon 11 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

Gene regulatory networks that govern hematopoietic stem cells (HSC) and leukemiainitiating cells (L-IC) are deeply entangled. Thus, the discovery of compounds that target L-IC while sparing HSC is an attractive but difficult endeavor. Presently, most drug discovery approaches fail to counter-screen compounds against normal hematopoietic stem/progenitor cells (HSPC) to assess therapeutic index. Here, we present a combined in vitro and in vivo strategy to identify compounds specific to L-IC in acute myeloid leukemia (AML). A high-throughput screen of 4000 compounds on novel leukemia cell lines derived from human experimental leukemogenesis models yielded 80 hits, of which most were toxic to normal HSPC. Of the 10 compounds that passed this initial filter, we chose to characterize a single compound, kinetic riboside (KR), on AML L-IC and HSPC. KR demonstrated comparable efficacy to standard therapies against 63 primary AMLs. In vitro, KR effectively targeted the L-IC-enriched CD34+CD38- AML fraction, while sparing normal HSPC enriched fractions, although these effects were mitigated on HSC assayed in vivo, and highlights the importance of in vivo L-IC and HSC assays to measure function. Overall, we provide a novel approach to screen large drug libraries for the discovery of anti-L-IC compounds for human leukemias.

Publication Title

A small molecule screening strategy with validation on human leukemia stem cells uncovers the therapeutic efficacy of kinetin riboside.

Sample Metadata Fields

Cell line, Treatment

View Samples
accession-icon GSE39955
Expression data comparing Pten-, p53-, and combined deficient mouse mammary tumors
  • organism-icon Mus musculus
  • sample-icon 42 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

To model the effect of Pten loss on breast cancer, we deleted Pten using a floxed allele and the deleter lines MMTV-Cre(NLST), which targets stem/bi-potent progenitor cells, and WAP-Cre, which targets CD24-positive, pregnancy-identified stem cells/alveolar progenitors. Mammary tumors were detected in WAP-Cre:Ptenf/f females with a latency of 15.2 months. By 18 months, nearly all mice had succumbed to cancer. MMTV-Cre:Ptenf/f mice developed mammary tumors after a longer latency of 26.4 months and reduced penetrance (70%) compared to WAP-Cre:Ptenf/f mice. Tumors from both models were heterogeneous, consisting primarily of differentiated adenocarcinoma (adenomyoepithelioma; ~70%) and adenosquamous carcinoma (20-25%). In addition, a small fraction of tumors was classified as acinar and poorly differentiated adenocarcinoma (4-7%) and adenosarcoma (3-4%). To test the consequences of combined Pten and p53 gene mutation on breast cancer, we deleted both genes via MMTV-Cre or WAP-Cre. Kaplan-Meier tumor free survival curves revealed that WAP-Cre:Ptenf/f:p53f/f and MMTV-Cre:Ptenf/f:p53f/f females developed tumors with reduced latency of 11.3 and 9.8 months, compared with 15.2, 26.4, and 16.9 months for single-mutant WAP-Cre:Ptenf/f, MMTV-Cre:Ptenf/f or MMTV-Cre:p53f/f mice, respectively. In contrast to the heterogeneity of Pten tumors and small percentage of adenosarcomas in these mice, ~70% of Pten:p53 lesions were histologically classified as adeno-sacrcomatoid-like or mesenchymal-like breast cancer, with the rest exhibiting mixed mesenchymal plus adenocarcinomas and differentiated adenocarcinomas. The adeno-sacrcomatoid-like tumors expressed the mesenchymal markers vimentin, K5, SMA, N-cadherin and desmin but not ER, as well as islands of luminal-like K18 expressing cells surrounded by a layer of K14-positive cells.

Publication Title

Combined deletion of Pten and p53 in mammary epithelium accelerates triple-negative breast cancer with dependency on eEF2K.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE53658
shRNA kinome screen identifies TBK1 as therapeutic target for HER2+ breast cancer
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

Microarray analysis was performed at the UHN Microarray Centre (UHNMAC, Ontario, Canada) using Illumina HumanHT-12 v4 BeadChip with 500 ng of total RNA prepared by RNeasy mini kit (QIAGEN, Cat. No. 74104). Samples from HCC1954 cells with 3-day treatment of TBK1-II at 4 uM were used to compare with vehicle-treated controls. Microarray data was processed and normalized by lumi package from BioConductor in R with Quantile Method. Difference between the samples were calculated by Bayesian statistic using limma package from BioConductor in R to obtain Moderated T value for subsequent Pathway analysis.

Publication Title

shRNA kinome screen identifies TBK1 as a therapeutic target for HER2+ breast cancer.

Sample Metadata Fields

Cell line

View Samples
accession-icon GSE23878
Genome Wide Expression Analysis of Middle Eastern Colorectal Cancer Reveals FOXM1 as a Novel Target for Cancer Therapy
  • organism-icon Homo sapiens
  • sample-icon 58 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

In order to identify potential genes that may play an important role in progression of colorectal carcinoma, we screened and validated the global gene expression using cDNA expression array on 36 CRC tissues and compared with 24 non-cancerous colorectal tissue.

Publication Title

Genome-wide expression analysis of Middle Eastern colorectal cancer reveals FOXM1 as a novel target for cancer therapy.

Sample Metadata Fields

Sex

View Samples
accession-icon GSE100534
Expression profiling in breast cancer brain metastases compared to breast cancers and primary brain tumors
  • organism-icon Homo sapiens
  • sample-icon 33 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Experiment: Expression profiling in breast cancer brain metastases (BC) compared to breast cancers (BC) and primary brain tumors (prBT). The objectives are to identify expression profiles that are specific to BCBM in order to identify new molecular biomarkers. The characterization of the BCBM samples included adjacent genetic techniques.

Publication Title

Comprehensive molecular biomarker identification in breast cancer brain metastases.

Sample Metadata Fields

Sex, Specimen part, Disease stage

View Samples
accession-icon GSE102483
Expression data for the molecular signature of TF1a acute myeloid leukaemia cell line
  • organism-icon Homo sapiens
  • sample-icon 14 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 2.1 ST Array (hugene21st)

Description

TF1a AML cell line was selected for in vitro modelling of dormancy in AML. TF1-a were subjected to AML-niche-mimicking in vitro conditioning by culture with TGFB1 and the mTOR inhibitor rapamycin. Also TF1a cells were in vitro cultured with prolonged sublethal doses of Etoposide.

Publication Title

A molecular signature of dormancy in CD34<sup>+</sup>CD38<sup>-</sup> acute myeloid leukaemia cells.

Sample Metadata Fields

Specimen part

View Samples
accession-icon SRP018933
Small RNA profiling of human cumulus cells and oocytes
  • organism-icon Homo sapiens
  • sample-icon 2 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer II

Description

Cumulus cells are biologically distinct from other follicular cells and perform specialized roles, transmitting signals within the ovary and supporting oocyte maturation during follicular development. The bi-directional communication between the oocyte and the surrounding cumulus cells is crucial for the acquisition of oocyte competence. Using Illumina/deep-sequencing technology, we dissected the small RNAome of pooled human mature MII oocytes and cumulus cells. Overall design: Cumulus cells and MII mature oocytes small RNA profiles were generated by deep-sequencing, using Illumina 1G sequencer

Publication Title

MicroRNAs: new candidates for the regulation of the human cumulus-oocyte complex.

Sample Metadata Fields

Specimen part, Subject

View Samples
accession-icon GSE13982
Effect of CORM-2 on E. coli transcriptome
  • organism-icon Escherichia coli str. k-12 substr. mg1655
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix E. coli Genome 2.0 Array (ecoli2)

Description

We recently reported that carbon monoxide (CO) has bactericidal activity. To understand its mode of action we analysed the gene expression changes occurring when Escherichia coli, grown aerobically and anaerobically, is treated with the carbon monoxide releasing molecule, CORM-2. The E. coli microarray analysis shows that E. coli CORM-2 response is multifaceted with a high number of differentially regulated genes spread through several functional categories, namely genes involved in inorganic ion transport and metabolism, regulators, and genes implicated in posttranslational modification, such as chaperones. CORM-2 has higher impact in E. coli cells grown anaerobically, as judged by the existence of repressed genes belonging to eight functional classes which are absent in aerobically CORM-2 treated cells. In spite of the relatively stable nature of the CO molecule, our results show that CO is able to trigger a significant alteration in the transcriptome of E. coli which necessarily has effects in several key metabolic pathways.

Publication Title

Exploring the antimicrobial action of a carbon monoxide-releasing compound through whole-genome transcription profiling of Escherichia coli.

Sample Metadata Fields

No sample metadata fields

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