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accession-icon GSE58697
Expression data from 128 Desmoids
  • organism-icon Homo sapiens
  • sample-icon 123 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

One of the main problems in managing desmoids tumors is their locoregional aggressiveness and their high ability to recur after initial treatment. In our work, with the goal to identify molecular markers that can predict Progression-Free Survival, gene-expression screening was conducted on 128 available independent untreated primary desmoid tumors using cDNA microarray. By analyzing expression profiles, we have identified, for the first time, a gene expression signature that is able to predict Progression-Free Survival. This molecular signature identified two groups with clearly distinct Progression-Free Survival in the two sets of subjects. Patients in good prognostic group had achieved a progression-free 2-year survival rate of 86% while patients in poor prognostic group had a progression-free 2-year survival rate of 44%.

Publication Title

Gene Expression Profiling of Desmoid Tumors by cDNA Microarrays and Correlation with Progression-Free Survival.

Sample Metadata Fields

Sex, Age, Specimen part

View Samples
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

View Samples
accession-icon SRP057793
RNA-seq performed on sarcomas to identify various alterations
  • organism-icon Homo sapiens
  • sample-icon 149 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

No description.

Publication Title

Genomic and transcriptomic comparison of post-radiation versus sporadic sarcomas.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP113755
Transcriptome characterization of radiation-induced sarcomas
  • organism-icon Homo sapiens
  • sample-icon 73 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

No description.

Publication Title

Genomic and transcriptomic comparison of post-radiation versus sporadic sarcomas.

Sample Metadata Fields

Sex, Age, Specimen part, Disease, Disease stage

View Samples
accession-icon GSE57479
Expression profiles of human NK cell subsets
  • organism-icon Homo sapiens
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

It is known that natural killer (NK) cells are a heterogeneous population of functionally distinct NK cell subsets. Here we report on different genomic, phenotypic and functional properties of human NK cell subsets derived from peripheral blood, thymus and bone marrow. NK cell subpopulations were defined via expression of CD56 and CD16.

Publication Title

Specific phenotype and function of CD56-expressing innate immune cell subsets in human thymus.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE45715
Genome-wide analysis of BRCA1 and PALB2
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Genome-wide analysis reveals a role for BRCA1 and PALB2 in transcriptional co-activation.

Sample Metadata Fields

Specimen part, Disease, Cell line

View Samples
accession-icon GSE45713
Genome-wide analysis of BRCA1 and PALB2 [TNF-alpha stimulation]
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

Breast and ovarian cancer susceptibility genes, BRCA1 and PALB2 have enigmatic roles in cellular growth and mammalian development. While these genes are essential for growth during early developmental programs, inactivation later in adulthood leads to increased growth and formation of tumors, leading to their designation as tumor suppressors. We performed genome-wide analysis assessing their chromatin residence and gene expression responsiveness using high throughput sequencing in breast epithelial cells. These experiments revealed a critical role for BRCA1 and PALB2 in transcriptional responsiveness to NF-kB, a crucial mediator of growth and inflammatory response during development and cancer. Importantly, we also uncovered a vital role for these proteins in response to retinoic acid (RA), a growth inhibitory signal in breast cancer cells, which may constitute the basis for their tumor suppressor activity.

Publication Title

Genome-wide analysis reveals a role for BRCA1 and PALB2 in transcriptional co-activation.

Sample Metadata Fields

Specimen part, Cell line

View Samples
accession-icon GSE45714
Genome-wide analysis of BRCA1 and PALB2 [RA stimulation]
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

Breast and ovarian cancer susceptibility genes, BRCA1 and PALB2 have enigmatic roles in cellular growth and mammalian development. While these genes are essential for growth during early developmental programs, inactivation later in adulthood leads to increased growth and formation of tumors, leading to their designation as tumor suppressors. We performed genome-wide analysis assessing their chromatin residence and gene expression responsiveness using high throughput sequencing in breast epithelial cells. These experiments revealed a critical role for BRCA1 and PALB2 in transcriptional responsiveness to NF-kB, a crucial mediator of growth and inflammatory response during development and cancer. Importantly, we also uncovered a vital role for these proteins in response to retinoic acid (RA), a growth inhibitory signal in breast cancer cells, which may constitute the basis for their tumor suppressor activity.

Publication Title

Genome-wide analysis reveals a role for BRCA1 and PALB2 in transcriptional co-activation.

Sample Metadata Fields

Specimen part, Cell line

View Samples
accession-icon GSE41529
Genome-wide analysis of the SNAPc complex
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Requirement for SNAPC1 in transcriptional responsiveness to diverse extracellular signals.

Sample Metadata Fields

Cell line, Treatment

View Samples
accession-icon GSE41528
Genome-wide analysis of the SNAPc complex [Illumina array]
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

The small nuclear RNA (snRNA)-activating protein complex (SNAPc) is a basal transcription factor that mediates the transcriptional activation of snRNAs. Here, we describe the genome-wide occupancy of the SNAPC1_and SNAPC4 subunits of SNAPc. While the SNAPC4 occupancy was in accord with the role for SNAPc in snRNA transcription, SNAPC1_displayed a broader genomic profile mirroring that of RNA polymerase II at highly active protein-coding genes. Our functional analysis revealed a role for SNAPC1_in regulation of both basal and activator-induced transcription of protein-coding genes. These studies expand the role for SNAPC1_beyond its regulation of snRNA transcription.

Publication Title

Requirement for SNAPC1 in transcriptional responsiveness to diverse extracellular signals.

Sample Metadata Fields

Cell line, Treatment

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)

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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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