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accession-icon GSE20219
Effects of Long-term Pioglitazone Treatment on Peripheral and Central Markers of Aging
  • organism-icon Rattus norvegicus
  • sample-icon 29 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome 230 2.0 Array (rat2302)

Description

Background: Thiazolidinediones (TZDs) activate peroxisome proliferator-activated receptor gamma (PPARgamma) and are used clinically to help restore peripheral insulin sensitivity in Type 2 diabetes (T2DM). Interestingly, long-term treatment of mouse models of Alzheimers disease (AD) with TZDs also has been shown to reduce several well-established brain biomarkers of AD including inflammation, oxidative stress and Abeta accumulation. While some of the TZD actions are becoming clear in AD models and may mediate their reported beneficial impact in AD patients, little is known about the functional consequences of TZDs in animal models of normal aging. Because aging is a common risk factor for both AD and T2DM, we investigated whether the TZD, pioglitazone could alter brain aging under non-pathological conditions. Findings: The TZD pioglitazone (PIO) was incorporated into the diet to yield a final dose of approximately 2.3 mg/kg body weight/day. PIO reduced insulin levels irrespective of age. Interestingly, a significant reduction in the Ca2+-dependent afterhyperpolarization was seen in the aged animals with no significant change in LTP maintenance or learning and memory performance. Finally, a combination of microarray analyses on hippocampal tissue and serum-based multiplex cytokine assays revealed that age-dependent inflammatory changes in brain and periphery were not reversed by PIO.

Publication Title

Effects of long-term pioglitazone treatment on peripheral and central markers of aging.

Sample Metadata Fields

Sex, Age

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accession-icon GSE6043
Translation initiation factor 4E confers primary human cells with neoplastic properties
  • organism-icon Homo sapiens
  • sample-icon 7 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Deregulation of translational control is an obligatory step in oncogenesis; however, this step has not been addressed by prior genomic and transcriptional profiling studies of cancer biology. Here we simulate the translational deregulation found in cancer by ectopically over expressing translation initiation factor eIF4E in primary human mammary epithelial cells; and examine its impact on cell biology and the pattern of ribosomal recruitment to mRNA genome wide. Over expression of eIF4E allows cells to bypass M0 premature growth arrest, but does not confer other malignant properties. However, in concert with hTERT, eIF4E imparts cells with growth and survival autonomy - and profoundly alters the pattern of polyribosome-associated mRNA encoding cell cycle and apoptosis regulators. The translational response to increased eIF4E is not only a unidirectional activation of oncogenic drivers, but also consists of complex intrinsic translational mechanisms that mitigate the acquisition of neoplastic properties.

Publication Title

Eukaryotic translation initiation factor 4E induced progression of primary human mammary epithelial cells along the cancer pathway is associated with targeted translational deregulation of oncogenic drivers and inhibitors.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP125001
Multi-Omic Molecular Profiling of Lung Cancer Risk in Chronic Obstructive Pulmonary Disease
  • organism-icon Homo sapiens
  • sample-icon 60 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Chronic obstructive pulmonary disease (COPD) is a known risk factor for developing lung cancer suggesting that the COPD stroma contains factors supporting tumorigenesis. Since cancer initiation is complex we used a multi-omic approach to identify gene expression patterns that distinguish COPD stroma in patients with or without lung cancer. We obtained lung tissue from patients with COPD and lung cancer (tumor and adjacent non-malignant tissue) and those with COPD without lung cancer for proteomic and mRNA (cytoplasmic and polyribosomal) profiling. We used the joint and individual variation explained (JIVE) method to integrate and analysis across the three datasets. JIVE identified eight latent patterns that robustly distinguished and separated the three groups of tissue samples. Predictive variables that associated with the tumor, compared to adjacent stroma, were mainly represented in the transcriptomic data, whereas, predictive variables associated with adjacent tissue compared to controls was represented at the translatomic level. Kyoto Encyclopedia of Genes and Genome (KEGG) pathway analysis revealed extracellular matrix (ECM) and PI3K-Akt signaling pathways as important signals in the pre-malignant stroma. COPD stroma adjacent to lung cancer is unique and differs from non-malignant COPD tissue and is distinguished by the extracellular matrix and PI3K-Akt signaling pathways. Overall design: Polysome-profiling of lung tumor, adjacent non-cancerous lung stroma tissue samples from the same patient compared to patients without lung cancer across a range of forced expiratory volume in one second (FEV1)

Publication Title

Multi-omic molecular profiling of lung cancer in COPD.

Sample Metadata Fields

Specimen part, Subject

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accession-icon SRP116952
Distinct cancer-promoting stromal gene expression depending on lung function
  • organism-icon Homo sapiens
  • sample-icon 64 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Chronic obstructive pulmonary disease (COPD) is an independent risk factor for lung cancer, but the underlying molecular mechanisms are unknown. We hypothesized that lung stromal cells activate pathological gene expression programs supporting oncogenesis. To identify molecular mechanisms operating in the lung stroma that support development of lung cancer. Study subjects included patients with- or without- lung cancer across a spectrum of lung function. We conducted multi-omics analysis of non-malignant lung tissue to quantify the transcriptome, translatome and proteome. Cancer-associated gene expression changes predominantly manifested as alterations in the efficiency of mRNA translation modulating protein levels in the absence of corresponding changes in mRNA levels. The molecular mechanisms driving these cancer-associated translation programs differed based on lung function. In subjects with normal to mildly impaired lung-function, the mammalian target of rapamycin (mTOR) pathway served as an upstream driver; whereas in severe airflow obstruction, pathways downstream of pathological extracellular matrix (ECM) emerged. Consistent with a role during cancer initiation, both the mTOR and ECM gene expression programs paralleled activation of previously identified pro-cancer secretomes. Furthermore, in situ examination of lung tissue documented that stromal fibroblasts express cancer-associated proteins from the two pro-cancer secretomes including IL6 in mild or no airflow obstruction and BMP1 in severe airflow obstruction. Two distinct stromal gene expression programs promoting cancer initiation are activated in lung cancer patients depending on lung function. Our work has implications both for screening strategies and personalized approaches to cancer treatment. Overall design: Polysome-profiling of non-cancerous lung stroma tissue samples from patients with or without lung cancer across a range of forced expiratory volume in one second (FEV1)

Publication Title

Distinct Cancer-Promoting Stromal Gene Expression Depending on Lung Function.

Sample Metadata Fields

Specimen part, Subject

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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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