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accession-icon GSE21050
Expression data from Complex genetics sarcomas (cohort 1 and 2)
  • organism-icon Homo sapiens
  • sample-icon 303 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

For this study, we selected, from the French Sarcoma Group (FSG) database, soft tissue sarcomas with no recurrent chromosomal translocations and for which a frozen tissue of the untreated primary tumor was available. Three hundred and ten sarcomas have been studied. They are split in two cohorts.

Publication Title

Validated prediction of clinical outcome in sarcomas and multiple types of cancer on the basis of a gene expression signature related to genome complexity.

Sample Metadata Fields

Specimen part, Disease, Time

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accession-icon GSE39084
Sporadic early-onset colorectal carcinoma is a distinct clinicopathological and molecular entity
  • organism-icon Homo sapiens
  • sample-icon 69 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Sporadic early onset colorectal carcinoma (EOCRC) is a growing problem that remains poorly understood. Clinical specificities and mechanisms of tumorigenesis might be relevant to both diagnosis and treatment. In this prospective study, clinicopathological features, genomic and gene expression profiles of sporadic EOCRC were compared to other well defined groups of CRC.

Publication Title

Sporadic early-onset colorectal cancer is a specific sub-type of cancer: a morphological, molecular and genetics study.

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE18592
Estrogen Coordinates Translation and Transcription Revealing a Role for NRSF in Human Breast Cancer Cells
  • organism-icon Homo sapiens
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Analysis of estrogen receptor (ER)-positive MCF7 cell total RNA expression and polysome-assiciated RNA expression following treatment with estradiol (E2) and vehicle (etoh).

Publication Title

Estrogen coordinates translation and transcription, revealing a role for NRSF in human breast cancer cells.

Sample Metadata Fields

Cell line

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accession-icon GSE84072
Expression data from CD8+TIM-3+ and CD8+TIM-3- T cells sorted from follicular lymphoma lymph nodes
  • organism-icon Homo sapiens
  • sample-icon 3 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 2.0 ST Array (hugene20st)

Description

Exhaustion markers are expressed by T lymphocytes in Follicular Lymphoma (FL). Through these, TIM-3 has been recently identified as a poor pronostic factor when expressed by FL CD4+ T cells.

Publication Title

Impaired functional responses in follicular lymphoma CD8<sup>+</sup>TIM-3<sup>+</sup> T lymphocytes following TCR engagement.

Sample Metadata Fields

Specimen part, Subject

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accession-icon GSE1071
Expression profiling of plants overexpressing transcription factor WIN1
  • organism-icon Arabidopsis thaliana
  • sample-icon 2 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis Genome Array (ag)

Description

T2 progenies of two transgenic lines overexpressing ERF transcription factor WIN1 were grown on soil in parallel under identical conditions. mRNA was extracted from pooled leaves from multiple plants of each line for the microarray experiement.

Publication Title

WIN1, a transcriptional activator of epidermal wax accumulation in Arabidopsis.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE47676
Gene profiling of the early healing rat medial collateral ligament
  • organism-icon Rattus norvegicus
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome 230 2.0 Array (rat2302)

Description

The objective of the study was to better understand the mechanism behind scar formation by identifying ECM factors and other unique genes differentially expressed during rat ligament healing via microarray. Rat medial collateral ligaments (MCL) were surgically transected or left intact. MCLs were collected at day 3 or 7 post-injury and used for microarray analysis. Results were compared to the normal intact ligaments.

Publication Title

Gene profiling of the rat medial collateral ligament during early healing using microarray analysis.

Sample Metadata Fields

Sex, Specimen part

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accession-icon SRP059270
Transcriptome Engineering Promotes a Fermentative Transcriptional State
  • organism-icon Saccharomyces cerevisiae
  • sample-icon 83 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500, Illumina HiSeq 2000, Illumina Genome Analyzer IIx

Description

Purpose: The ability to rationally manipulate the transcriptional states of cells would be of great use in medicine and bioengineering. We have developed a novel algorithm, NetSurgeon, which utilizes genome-wide gene regulatory networks to identify interventions that force a cell toward a desired expression state. Results: We used NetSurgeon to select transcription factor deletions aimed at improving ethanol production in S. cerevisiae cultures that are catabolizing xylose. We reasoned that interventions that move the transcriptional states of cells utilizing xylose toward the fermentative state typical of cells that are producing ethanol rapidly (while utilizing glucose) might improve xylose fermentation. Some of the interventions selected by NetSurgeon successfully promoted a fermentative transcriptional state in the absence of glucose, resulting in strains with a 2.7-fold increase in xylose import rates, a 4-fold improvement in xylose integration into central carbon metabolism, or a 1.3-fold increase in ethanol production rate. Conclusions: We conclude by presenting an integrated model of transcriptional regulation and metabolic flux that will enable future metabolic engineering efforts aimed at improving xylose fermentation to prioritize functional regulators of central carbon metabolism. Overall design: Mutant and wildtype S. cerevisiae cells were put into 48 hour aerobic batch fermentations of synthetic complete medium supplmented with 2% glucose and 5% xylose and culture samples were taken at 4 hours and 24 hours for transcriptional profiling performed by RNA-Seq analysis. In addition, wildtype S. cerevisiae cells were grown in various single carbon sources for 12 hours and culture samples were taken for transcriptional profiling performed by RNA-Seq analysis.

Publication Title

Model-based transcriptome engineering promotes a fermentative transcriptional state in yeast.

Sample Metadata Fields

Subject

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accession-icon SRP072327
Anchoring of Heterochromatin to the Nuclear Lamina Reinforces Dosage Compensation-Mediated Gene Repression
  • organism-icon Caenorhabditis elegans
  • sample-icon 26 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Higher order chromosome structure and nuclear architecture can have profound effects on gene regulation. We analyzed how compartmentalizing the genome by tethering heterochromatic regions to the nuclear lamina affects dosage compensation in the nematode C. elegans. In this organism, the dosage compensation complex (DCC) binds both X chromosomes of hermaphrodites to repress transcription two-fold, thus balancing gene expression between XX hermaphrodites and XO males. X chromosome structure is disrupted by mutations in DCC subunits. Using X chromosome paint fluorescence microscopy, we found that X chromosome structure and subnuclear localization are also disrupted when the mechanisms that anchor heterochromatin to the nuclear lamina are defective. Strikingly, the heterochromatic left end of the X chromosome is less affected than the gene-rich middle region, which lacks heterochromatic anchors. These changes in X chromosome structure and subnuclear localization are accompanied by small, but significant levels of derepression of X-linked genes as measured by RNA-seq, without any observable defects in DCC localization and DCC-mediated changes in histone modifications. We propose a model in which heterochromatic tethers on the left arm of the X cooperate with the DCC to compact and peripherally relocate the X chromosomes, contributing to gene repression. Overall design: RNA-seq profiles of C. elegans L1 wild type hermaphrodites, cec-4, met-2 set-25, and DPY-27 RNAi. RNA-seq profiles or C. elegans. Strains are N2 Bristol strain (wild type), RB2301 cec-4(ok3124) IV, and EKM99 met-2(n4256) set-25(n5021) III. Biological replicates for each strain/stage listed separately.

Publication Title

Anchoring of Heterochromatin to the Nuclear Lamina Reinforces Dosage Compensation-Mediated Gene Repression.

Sample Metadata Fields

Specimen part, Subject

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accession-icon SRP145457
In situ transcriptome characteristics are lost following culture adaptation of adult cardiac stem cells (Smart-Seq2 scRNA-seq)
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

Single-cell RNA-seq (Smart-Seq2) to profile of cardiac progenitor cells Overall design: Transcriptional profiling of cultured CPCs was performed by scRNA-Seq approaches using Smart-Seq2 technology

Publication Title

In situ transcriptome characteristics are lost following culture adaptation of adult cardiac stem cells.

Sample Metadata Fields

Specimen part, Subject

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accession-icon SRP175072
Safety profiling of genetically engineered Pim-1 kinase overexpression for oncogenicity risk in human c-kit+ cardiac interstitial cells
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 4000

Description

Bulk RNA-seq to profile of c-kit+ cardiac interstitial cells, comparing the transcriptomes of Pim-1 enhanced cardiac progenitor cells and transfection control Overall design: Transcriptional profiling of Pim-1 enhanced human derived cardiac interstitial cells by bulk RNA-Seq

Publication Title

Safety profiling of genetically engineered Pim-1 kinase overexpression for oncogenicity risk in human c-kit+ cardiac interstitial cells.

Sample Metadata Fields

Specimen part, Subject

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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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