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accession-icon GSE11236
Cooperation of two mRNA-binding proteins drives metabolic adaptation to iron deficiency
  • organism-icon Saccharomyces cerevisiae
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Yeast Genome S98 Array (ygs98)

Description

Expression of the yeast Cth2 protein stimulates degradation of mRNAs encoding proteins with Fe-dependent functions in metabolism, in iron storage and in other cellular processes. We demonstrate that in response to Fe deprivation, the Cth2-homologue, Cth1, stimulates specific degradation of mRNAs involved in mitochondrially localized activities that include respiration and amino acid biosynthesis. Furthermore, yeast cells grown under Fe deprivation accumulate mRNAs encoding proteins that function in glucose metabolism. These studies demonstrate a reprogramming of cellular metabolism during Fe-starvation dependent on the coordinated activities of two mRNA binding proteins.

Publication Title

Cooperation of two mRNA-binding proteins drives metabolic adaptation to iron deficiency.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE157931
Time course analysis of the effect of embedded metal on skeletal muscle gene expression
  • organism-icon Rattus norvegicus
  • sample-icon 50 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Clariom S Assay (clariomsrat), Illumina HiSeq 2000

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Time-course analysis of the effect of embedded metal on skeletal muscle gene expression.

Sample Metadata Fields

Sex, Specimen part, Treatment, Time

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accession-icon GSE157921
Time course analysis of the effect of embedded metal on skeletal muscle gene expression [Array]
  • organism-icon Rattus norvegicus
  • sample-icon 50 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000, Affymetrix Rat Clariom S Assay (clariomsrat)

Description

As a consequence of military operations, many veterans suffer from penetrating wounds and long-term retention of military grade heavy metal fragments. Fragments vary in size and location, and complete surgical removal may not be feasible or beneficial in all cases. Increasing evidence suggests retention of heavy metal fragments may have serious biological implications, including increased risks for malignant transformation. Previous studies assessed the tumorigenic effects of metal alloys in rats, demonstrating combinations of metals are sufficient to induce tumor formation after prolonged retention in skeletal muscle tissue. In this study, we analyzed transcriptional changes in skeletal muscle tissue in response to eight different military-relevant pure metals over 12 months. We found that most transcriptional changes occur at 1 and 3 months after metal pellets are embedded in skeletal muscle and these effects resolve at 6 and 12 months. We also report significant immunogenic effects of nickel and cobalt and suppressive effects of lead and depleted uranium on gene expression. Overall, skeletal muscle exhibits a remarkable capacity to adapt to and recover from internalized metal fragments; however, the cellular response to chronic exposure may be restricted to the metal-tissue interface. This data suggests that unless affected regions are specifically captured by biopsy, it would be difficult to reliably detect changes in muscle gene expression that would be indicative of long-term adverse health outcomes.

Publication Title

Time-course analysis of the effect of embedded metal on skeletal muscle gene expression.

Sample Metadata Fields

Sex, Specimen part, Treatment, Time

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accession-icon SRP166866
Transcriptomic analysis of the interaction of choriocarcinoma spheroids with receptive vs. non-receptive endometrial epithelium cell lines: an in vitro model for human implantation
  • organism-icon Homo sapiens
  • sample-icon 21 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

The aim of this study was to establish an in vitro model to investigate the initial stages of human implantation based on co-culture of a) immortalized cells representing the receptive (Ishikawa) or non-receptive (HEC-1-A) endometrial epithelium with b) spheroids of a trophoblastic cell line (JEG-3) modified to express green fluorescent protein. After co-culturing Ishikawa cells with trophoblast spheroids, 310 and 298 genes increased or decreased their expression compared to non-co-cultured Ishikawa control cells, respectively; only 9 genes (5 increased and 4 decreased) were differentially expressed in HEC-1-A upon co-culture with trophoblast spheroids. Compared to HEC-1-A, the trophoblast challenge to Ishikawa cells differentially regulated the expression of 495 genes. In summary, upon co-culture with the trophoblast spheroids, non-receptive epithelium is characterized by a muted transcriptional response which in turn fails to activate the full transcriptional response that trophoblast spheroids undergo when co-cultured with receptive epithelium. Overall design: GFP expressing JEG-3 spheroids were co-cultured with confluent monolayers of receptive Ishikawa or non-receptive HEC-1-A epithelia. After 48 hours of co-culture, GFP+ (trophoblast JEG-3 spheroid cells) and GFP- cell fractions (receptive Ishikawa or non-receptive HEC-1-A epithelial cells) were isolated by fluorescence-activated flow cytometry (FACS). The specific transcriptional changes of the isolated cell populations were analyzed by RNA-seq profiling. Statistical significance of gene expression differences was set at an absolute log2 fold change (log2FC) =1 and an adjusted p-value <0.05.

Publication Title

Transcriptomic analysis of the interaction of choriocarcinoma spheroids with receptive vs. non-receptive endometrial epithelium cell lines: an in vitro model for human implantation.

Sample Metadata Fields

Specimen part, Subject

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accession-icon GSE3494
An expression signature for p53 in breast cancer predicts mutation status, transcriptional effects, and patient survival
  • organism-icon Homo sapiens
  • sample-icon 501 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

The biological tumor samples (ie, breast tumor specimens) consisted of freshly frozen breast tumors from a population-based cohort of 315 women representing 65% of all breast cancers resected in Uppsala County, Sweden, from January 1, 1987 to December 31, 1989. Estrogen receptor status was determined by biochemical assay as part of the routine clinical procedure. An experienced pathologist determined the Elston-Ellis grades of the tumors, classifying the tumors into low, medium and high-grade tumors. The clinico-pathological characteristics accompanying each tumor include p53 status, ER status, tumor grade, lymph node status and patient age.

Publication Title

An expression signature for p53 status in human breast cancer predicts mutation status, transcriptional effects, and patient survival.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE140939
Virus-induced immune response during pregnancy
  • organism-icon Homo sapiens
  • sample-icon 92 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Transcriptome Array 2.0 (hta20)

Description

We evaluated transcriptional profiles in peripheral blood mononuclear cells (PBMCs) from 54 pregnant women in Kenya, 19 of whom delivered preterm.

Publication Title

Influenza-Induced Interferon Lambda Response Is Associated With Longer Time to Delivery Among Pregnant Kenyan Women.

Sample Metadata Fields

Specimen part, Treatment

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accession-icon GSE57933
Discovery and validation of a novel expression signature for recurrence in high-risk bladder cancer post-cystectomy
  • organism-icon Homo sapiens
  • sample-icon 199 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [probe set (exon) version (huex10st)

Description

Purpose: Selecting muscle-invasive bladder cancer patients for adjuvant therapy is currently based on clinical variables with limited power. We hypothesized that genomic-based signatures can outperform clinical models to identify patients at higher risk. Method:Transcriptome-wide expression profiles were generated using 1.4 million feature-arrays on archival tumors from 225 patients who underwent radical cystectomy and had muscle-invasive and/or node-positive bladder cancer. A 15-feature GC was developed on the discovery set with area under curve (AUC) of 0.77 in the validation set.

Publication Title

Discovery and validation of novel expression signature for postcystectomy recurrence in high-risk bladder cancer.

Sample Metadata Fields

Specimen part

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accession-icon SRP153906
Physiological and molecular dissection of daily variance in exercise capacity
  • organism-icon Mus musculus
  • sample-icon 18 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

Physical performance relies on the concerted action of myriad responses, many of which are under circadian clock control. Little is known, however, regarding the time-dependent effect on exercise performance at the molecular level. We found that both mice and humans exhibit day-time variance in exercise capacity between the early and late part of their active phase. The day-time variance in mice was dependent on exercise intensity and relied on the circadian clock proteins PER1/2. High throughput gene expression and metabolic profiling of skeletal muscle revealed metabolic pathways that are differently activated upon exercise in a day-time dependent manner. Remarkably, we discovered that ZMP, an endogenous AMPK activator, is induced by exercise in a time-dependent manner to regulate key steps in glycolytic and fatty acid oxidation pathways and potentially enhance exercise capacity. Overall, we propose that time of the day is a major modifier of exercise capacity and associated metabolic pathways. Overall design: basal, high intensity and moderate intensity runnig protocol at ZT14 and ZT22 in gastrocnemius muscle in C57B6 mice

Publication Title

Physiological and Molecular Dissection of Daily Variance in Exercise Capacity.

Sample Metadata Fields

Sex, Cell line, Subject, Time

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accession-icon GSE51066
A genomic classifier predicting metastatic disease progression in men with biochemical recurrence after prostatectomy
  • organism-icon Homo sapiens
  • sample-icon 85 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [probe set (exon) version (huex10st)

Description

BACKGROUND: Due to their varied outcomes, men with biochemical recurrence (BCR) following radical prostatectomy (RP) present a management dilemma. Here, we evaluate Decipher, a genomic classifier (GC), for its ability to predict metastasis following BCR.

Publication Title

A genomic classifier predicting metastatic disease progression in men with biochemical recurrence after prostatectomy.

Sample Metadata Fields

Specimen part

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accession-icon GSE46691
Discovery and validation of a prostate cancer genomic classifier that predicts early metastasis following radical prostatectomy
  • organism-icon Homo sapiens
  • sample-icon 545 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [probe set (exon) version (huex10st)

Description

Purpose: Clinicopathologic features and biochemical recurrence are sensitive, but not specific, predictors of metastatic disease and lethal prostate cancer. We hypothesize that a genomic expression signature detected in the primary tumor represents true biological potential of aggressive disease and provides improved prediction of early prostate cancer metastasis.

Publication Title

Discovery and validation of a prostate cancer genomic classifier that predicts early metastasis following radical prostatectomy.

Sample Metadata Fields

No sample metadata fields

View Samples
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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)

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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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