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accession-icon GSE32445
Identical gene regulation patterns of triiodothyronine (T3) and selective thyroid hormone receptor modulator GC-1
  • organism-icon Mus musculus, Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Identical gene regulation patterns of T3 and selective thyroid hormone receptor modulator GC-1.

Sample Metadata Fields

Sex, Age, Specimen part, Cell line

View Samples
accession-icon GSE32443
Identical gene regulation patterns of triiodothyronine (T3) and selective thyroid hormone receptor modulator GC-1 [Affymetrix]
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

Synthetic selective thyroid hormone (TH) receptor (TR) modulators (STRMs) exhibit beneficial effects on dyslipidemias in animals and humans and reduce obesity, fatty liver and insulin resistance in preclinical animal models. STRMs differ from native THs in preferential binding to the TR subtype versus TR, increased uptake into liver and reduced uptake into other tissues. However, selective modulators of other nuclear receptors (NRs) exhibit important gene-selective actions which have been attributed to differential effects on receptor conformation and dynamics and these effects can have profound influences in animals and humans. While there are suggestions that STRMs could exhibit such gene-specific actions, the extent to which these effects are actually observed in vivo has not been explored. Here, we show that saturating concentrations of the main active form of TH, triiodothyronine (T3), and the prototype STRM GC-1 induce identical gene-sets in livers of euthyroid and hypothyroid mice and a human cultured hepatoma cell line that only expresses TR, HepG2. We find one case in which GC-1 exhibits a modest gene-specific reduction in potency versus T3, at angiopoietin-like factor 4 (ANGPTL4) in HepG2. Investigation of the latter effect confirms that GC-1 acts through TR to directly induce this gene. However, this gene-selective GC-1 activity is not related to unusual T3 response element (TRE) sequence, unlike previously documented promoter-selective STRM actions. Together, our data suggest that T3 and GC-1 exhibit almost identical gene regulation properties and that gene-selective actions of GC-1 and similar STRMs will be subtle and rare.

Publication Title

Identical gene regulation patterns of T3 and selective thyroid hormone receptor modulator GC-1.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE76353
A new 3D culture system to identify disease-relevant genes in colorectal cancer
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Three-dimensional culture system identifies a new mode of cetuximab resistance and disease-relevant genes in colorectal cancer.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE76210
A new 3D culture system to identify disease-relevant genes in colorectal cancer [Microarray expression]
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

It is increasingly appreciated that properties of cultured epithelial cells differ dramatically in 2D compared to 3D, and the latter more faithfully recapitulates in vivo behavior. By studying a battery of human colorectal cancer (CRC) cell lines in type-1 collagen, we have found that HCA-7 cells form colonies with two distinctive and persistent morphological and functional properties. We observed predominantly single-layered polarized cysts (cystic colonies, CC) and a smaller fraction displaying disorganized solid masses (spiky colonies, SC) that were highly invasive in vivo. Despite overall genomic similarity, CC and SC exhibited distinct and dynamic patterns of gene expression in 3D.

Publication Title

Three-dimensional culture system identifies a new mode of cetuximab resistance and disease-relevant genes in colorectal cancer.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE22513
Markers of Taxane Sensitivity in Breast Cancer
  • organism-icon Homo sapiens
  • sample-icon 27 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The purpose of this study was to identify molecular markers of pathologic response to neoadjuvant paclitaxel/radiation treatment, protein and gene expression profiling were done on pretreatment biopsies. Patients with high-risk, operable breast cancer were treated with three cycles of paclitaxel followed by concurrent paclitaxel/radiation. Tumor tissue from pretreatment biopsies was obtained from 19 of the 38 patients enrolled in the study. Protein and gene expression profiling were done on serial sections of the biopsies from patients that achieved a pathologic complete response (pCR) and compared to those with residual disease, non-pCR (NR). Proteomic and validation immunohistochemical analyses revealed that -defensins (DEFA) were overexpressed in tumors from patients with a pCR. Gene expression analysis revealed that MAP2, a microtubule-associated protein, had significantly higher levels of expression in patients achieving a pCR. Elevation of MAP2 in breast cancer cell lines led to increased paclitaxel sensitivity. Furthermore, expression of genes that are associated with the basal-like, triple-negative phenotype were enriched in tumors from patients with a pCR. Analysis of a larger panel of tumors from patients receiving presurgical taxane-based treatment showed that DEFA and MAP2 expression as well as histologic features of inflammation were all statistically associated with response to therapy at the time of surgery. We show the utility of molecular profiling of pretreatment biopsies to discover markers of response. Our results suggest the potential use of immune signaling molecules such as DEFA as well as MAP2, a microtubule-associated protein, as tumor markers that associate with response to neoadjuvant taxanebased therapy.

Publication Title

Identification of markers of taxane sensitivity using proteomic and genomic analyses of breast tumors from patients receiving neoadjuvant paclitaxel and radiation.

Sample Metadata Fields

Specimen part

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accession-icon GSE19123
Lactic acidosis triggers starvation response with distinct metabolic profiles
  • organism-icon Mus musculus, Homo sapiens
  • sample-icon 56 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

[1] Lactic acidosis time course: MCF7 cells were exposed to lactic acidosis for different length of time. We used microarrays to examine the genomic programs of cells incubated under lactic acidosis for different length of time

Publication Title

Lactic acidosis triggers starvation response with paradoxical induction of TXNIP through MondoA.

Sample Metadata Fields

Cell line, Treatment

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accession-icon SRP065307
Gene expression profiling of sciatic nerves from Zeb2cKO and control mice
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

We performed gene expression pofiling of Zeb2cKO and control sciatic nerves and identified significantly changed genes ZEB2 is also known as SIP1 Overall design: 4 RNA-Seq samples from P7 sciatic nerves of Ctrl and Zeb2 cKO mice (duplicatess, Ctrl and cKO)

Publication Title

Zeb2 recruits HDAC-NuRD to inhibit Notch and controls Schwann cell differentiation and remyelination.

Sample Metadata Fields

Specimen part, Subject

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accession-icon GSE62254
Molecular analysis of gastric cancer identifies discrete subtypes associated with distinct clinical characteristics and survival outcomes: the ACRG (Asian Cancer Research Group) study [gastric tumors]
  • organism-icon Homo sapiens
  • sample-icon 294 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Gastric cancer, a leading cause of cancer related deaths, is a heterogeneous disease, with little consensus on molecular subclasses and their clinical relevance. We describe four molecular subtypes linked with distinct patterns of molecular alterations, disease progression and prognosis viz. a) Microsatellite Instable: hypermutated intestinal subtype tumors occurring in antrum, best overall prognosis, lower frequency of recurrence (22%), with liver metastasis in 23% of recurred cases b) Mesenchymal-like: diffuse tumors with worst prognosis, a tendency to occur at an earlier age and highest recurrence (63%) with peritoneal seeding in 64% of recurred cases, low frequency of molecular alterations c) TP53-inactive with TP53 loss, presence of focal amplifications and chromosomal instability d) TP53-active marked by EBV infection and PIK3CA mutations. The key molecular mechanisms and associated survival patterns are validated in multiple independent cohorts, to provide a consistent and unified framework for further preclinical and clinical research.

Publication Title

Molecular analysis of gastric cancer identifies subtypes associated with distinct clinical outcomes.

Sample Metadata Fields

Specimen part, Subject

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accession-icon GSE86861
Global Gene Expression Analyses of Three BCC Subsets, Based on the Relative Level of Oct4A
  • organism-icon Homo sapiens
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Despite education and aggressive treatment, breast cancer (BC) remains a clinical problem. BC cells (BCCs) can migrate early to metastatic sites where they may exist in cellular dormancy for decades. Presently, there are no consensus markers for cancer stem cells (CSCs) that are involved in tumor initiation and progression, and drug resistance. The current designation of CSCs might comprise similar tumor initiating cells, but at different developmental phase. In order to understand these differences, we developed a working hierarchy of BCCs. We initiated the studies in which three BCC subsets were selected based on the relative expressions of the stem cell-linked genes, Octamer4A (Oct4A). The sorted BCCs were subjected to array analyses using Affymetrix gene chip. Hierarchical clustering indicated distinct gene expression among the three subsets. Differential gene expressions of membrane proteins validated three novel genes, TMEM-98, GPR64 and FAT4. These three genes, in combination of known markers for CSCs, CD44, CD24, aldehyde dehydrogenase 1 (ALDH1) and Oct4A, were used to stratify BCCs led to a working hierarchy of BCCs. The validity of the hierarchical BCCs was applied to blood samples from patients, during relapse, and before and after treatment. These studies resulted in the patients grouped with distinct BCCs in the circulation. The relevance of the latter findings are discussed with regards to prediction of treatment response and time of BC relapse. The findings require a larger cohort of patients in a prospective multi-center study. The stratification could be important to understand treatment response, strategies for alternative approaches, and an understanding of the interaction between particular BCC subsets and the tissue microenvironment.

Publication Title

Evaluation of a developmental hierarchy for breast cancer cells to assess risk-based patient selection for targeted treatment.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE17907
Molecular profiling of ERBB2-amplified breast cancers
  • organism-icon Homo sapiens
  • sample-icon 55 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

15-25% of breast cancers (BC) show ERBB2-amplification and overexpression of the encoded ERBB2 tyrosine kinase receptor. They are associated with a poor prognosis but can benefit from targeted therapy. A better knowledge of these BCs may help understand their behavior and design new therapeutic strategies. In this study, we defined the high resolution genome and gene expression profiles of 54 ERBB2-amplified BCs using 244K oligonucleotide array-comparative genomic hybridization and whole-genome DNA microarrays. We first identified the ERBB2-C17orf37-GRB7 genomic segment as the minimal common amplicon, and CRKRS and IKZF3 as the most frequent centromeric and telomeric amplicon borders, respectively. Second, we identified 17 genome regions affected by copy number aberration (CNA). The expression of 37 genes of these regions was deregulated. Third, two types of heterogeneity were observed in ERBB2-amplified BCs. The genomic profiles of estrogen receptor-postive (ER+) and negative (ER-) ERBB2-amplified BCs were different. The WNT/-catenin signaling pathway was involved in ER- ERBB2-amplified BCs, and PVT1 and TRPS1 were candidate oncogenes associated with ER+ ERBB2-amplified BCs. The size of the ERBB2-amplicon was different in inflammatory (IBC) and non inflammatory BCs. ERBB2-amplified IBCs were characterized by the downregulated and upregulated mRNA expression of ten and two genes in proportion to CNA, respectively. We have shown that ERBB2 BCs are heterogeneous and identified genomic features that may be useful in the design of therapeutical strategies

Publication Title

Genome profiling of ERBB2-amplified breast cancers.

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

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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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