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accession-icon GSE32920
Phevalin (aureusimine B) production by Staphylococcus aureus biofilm and impacts on human keratinocyte gene expression
  • organism-icon Homo sapiens
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

Staphylococcus aureus produces the cyclic dipeptides tyrvalin and phevalin (aureusimine A and B, respectively).

Publication Title

Phevalin (aureusimine B) production by Staphylococcus aureus biofilm and impacts on human keratinocyte gene expression.

Sample Metadata Fields

Specimen part, Treatment

View Samples
accession-icon GSE7904
Expression data from human breast tissue
  • organism-icon Homo sapiens
  • sample-icon 62 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

bulk breast tumor RNA from patient

Publication Title

X chromosomal abnormalities in basal-like human breast cancer.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE3744
Human breast tumor expression
  • organism-icon Homo sapiens
  • sample-icon 45 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Gene expression for 47 human breast tumor cases;

Publication Title

X chromosomal abnormalities in basal-like human breast cancer.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE58644
The prognostic ease and difficulty of invasive breast carcinoma
  • organism-icon Homo sapiens
  • sample-icon 319 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Breast carcinoma (BC) have been extensively profiled by high-throughput technologies for over a decade, and broadly speaking, these studies can be grouped into those that seek to identify patient subtypes (studies of heterogeneity) or those that seek to identify gene signatures with prognostic or predictive capacity. The shear number of reported signatures has led to speculation that everything is prognostic in BC. Here we show that this ubiquity is an apparition caused by a poor understanding of the inter- relatedness between subtype and the molecular determinants of prognosis. Our approach constructively shows how to avoid confounding due to a patient's subtype, clinicopathological or treatment profile. The approach identifies patients who are predicted to have good outcome at time of diagnosis by all available clinical and molecular markers, but who experience a distant metastasis within five years. These inherently difficult patients (~7% of BC) are prioritized for investigations of intra-tumoral heterogeneity.

Publication Title

The prognostic ease and difficulty of invasive breast carcinoma.

Sample Metadata Fields

Age, Disease stage, Time

View Samples
accession-icon GSE14270
Central corneal thickness is a genetic dependent trait among inbred strains of mice
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Central corneal thickness (CCT) exhibits broad variability. We determined the corneal gene expression profile three mouse strains with distinct corneal thickness: C57BLKS/J (88.6 um), SJL/J (123.5 um), and C57BL/6J (100.1 um).

Publication Title

Genetic dependence of central corneal thickness among inbred strains of mice.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP073683
Guided self-organization recapitulates tissue architecture in a bioengineered brain organoid model
  • organism-icon Homo sapiens
  • sample-icon 24 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Engineered brain organoids (enCORs) exhibit reproducible neural differentiation and forebrain regionalization. Overall design: Comparison of transcriptomes from bioengineered micropatterned enCORs and spheroids at 20 days and 60 days

Publication Title

Guided self-organization and cortical plate formation in human brain organoids.

Sample Metadata Fields

Specimen part, Subject, Time

View Samples
accession-icon GSE17643
Profiling of immortalized human lung epithelial cells following oncogenic KRAS expression and TBK1 suppression
  • organism-icon Homo sapiens
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

The purpose of the dataset is to analyze expression of genes induced by KRAS and regulated by TBK1

Publication Title

Systematic RNA interference reveals that oncogenic KRAS-driven cancers require TBK1.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE134807
Etv1 controls the establishment of non-overlapping motor innervation of neighboring facial muscles during development
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

The motor neurons innervating the muscles of facial expression are organized into somatotopic hindbrain clusters termed subnuclei. Each of the medial, intermediate, dorsolateral, and lateral subnuclei gives rise to a specific branch of the facial motor nerve (cranial nerve VII). How subnucleus-specific gene expression could mediate the accurate development of facial nerve projections was not well understood.

Publication Title

Etv1 Controls the Establishment of Non-overlapping Motor Innervation of Neighboring Facial Muscles during Development.

Sample Metadata Fields

Sex, Specimen part

View Samples
accession-icon GSE105288
Integrative Epigenetic and Gene Expression Analysis of Renal Tumor Progression to Metastasis
  • organism-icon Homo sapiens
  • sample-icon 44 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

Renal cell carcinoma (RCC) is among the ten most common malignancies. By far, the most common histology is clear cell (ccRCC). The Cancer Genome Atlas and other large scale sequencing studies of ccRCC have been integral to the current understanding of molecular events underlying RCC and its biology. However, these data sets have focused on primary RCC which often demonstrates indolent behavior. In contrast, metastatic disease is the major cause of mortality associated with ccRCC. However, data sets examining metastatic tumor are sparse. We therefore undertook an integrative analysis of gene expression and DNA methylome profiling of metastatic ccRCC in addition to primary RCC and normal kidney. Integrative analysis of the methylome and transcriptome identified over 30 RCC specific genes whose mRNA expression inversely correlated with promoter methylation including several known targets of hypoxia inducible factors (HIFs). Notably, genes encoding several metabolism-related proteins were identified as differentially regulated via methylation. Collectively, our data provide novel insight into biology of aggressive RCC. Furthermore, they demonstrate a clear role for epigenetics in the promotion of HIF signaling and invasive phenotypes in renal cancer.

Publication Title

Integrative Epigenetic and Gene Expression Analysis of Renal Tumor Progression to Metastasis.

Sample Metadata Fields

Specimen part

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accession-icon GSE105261
Transcriptome analysis of normal kidney, primary and metastasis ccRCC
  • organism-icon Homo sapiens
  • sample-icon 44 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

Understanding gene expression changes during transformation from normal tissue to primary RCC and then to metastasis is important. Such analysis is pivotal for undertanding biology in renal cancer and also to unearth novel gene targets.

Publication Title

Integrative Epigenetic and Gene Expression Analysis of Renal Tumor Progression to Metastasis.

Sample Metadata Fields

Specimen part

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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