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accession-icon GSE11303
Transcriptional responses of Escherichia coli k12 TPEN
  • organism-icon Escherichia coli
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix E. coli Genome 2.0 Array (ecoli2)

Description

DNA microarrays were conducted on E. coli K12 cells stressed with 10 M in N,N,N',N'-tetrakis(2-pyridylmethyl)ethylenediamine (TPEN). Overall, 260 genes varied in expression, 114 up-regulated and 146 down-regulated by Zn deprivation

Publication Title

Characterization of Zn(II)-responsive ribosomal proteins YkgM and L31 in E. coli.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE99070
Comprehensive immunoproteogenomic analyses of malignant pleural mesothelioma
  • organism-icon Homo sapiens
  • sample-icon 22 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

We characterized tumor and immune microenvironment (TiME) of malignant pleural mesothelioma (MPM) using immunoproteomic approach to comprehensively understand the landscape to affect prognosis and possibly to predict response to immunotherapy. Time-of-Flight Mass Cytometry (CyTOF) was performed on the tumors of 12 MPM patients. We comprehensively analyzed TiME by developing intuitive models for visualizing single-cell data with statistical inference and performed unsupervised clustering of cell frequency. A clinically relevant protein signature through mass spectrometry and mRNA transcriptome array was tested for its ability to reflect prognosis in three independent cohorts (n=330) and to predict response to immune checkpoint inhibitor therapy in publicly available data and in 10 patients of MPM treated with anti-PD1 therapy. A systematic understanding of antitumor immunity by immunoproteomic characterization of TiME envisions significant progress in developing rational immunotherapeutic strategies in MPM.

Publication Title

Comprehensive immunoproteogenomic analyses of malignant pleural mesothelioma.

Sample Metadata Fields

Disease, Disease stage, Treatment

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accession-icon GSE83227
caArray_meyer-00191: Classification of human lung carcinomas by mRNA expression profiling reveals distinct adenocarcinoma subclasses
  • organism-icon Homo sapiens
  • sample-icon 254 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U95 Version 2 Array (hgu95av2)

Description

We have generated a molecular taxonomy of lung carcinoma, the leading cause of cancer death in the United States and worldwide. Using oligonucleotide microarrays, we analyzed mRNA expression levels corresponding to 12,600 transcript sequences in 186 lung tumor samples, including 139 adenocarcinomas resected from the lung. Hierarchical and probabilistic clustering of expression data defined distinct subclasses of lung adenocarcinoma. Among these were tumors with high relative expression of neuroendocrine genes and of type II pneumocyte genes, respectively. Retrospective analysis revealed a less favorable outcome for the adenocarcinomas with neuroendocrine gene expression. The diagnostic potential of expression profiling is emphasized by its ability to discriminate primary lung adenocarcinomas from metastases of extra-pulmonary origin. These results suggest that integration of expression profile data with clinical parameters could aid in diagnosis of lung cancer patients.

Publication Title

Classification of human lung carcinomas by mRNA expression profiling reveals distinct adenocarcinoma subclasses.

Sample Metadata Fields

Sex, Age, Specimen part, Disease, Disease stage

View Samples
accession-icon GSE55857
Comprehensive Analysis of Recurrence-Associated Small Non-Coding RNAs in Esophageal Cancer
  • organism-icon Homo sapiens
  • sample-icon 255 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Integrated genomic analysis of recurrence-associated small non-coding RNAs in oesophageal cancer.

Sample Metadata Fields

Specimen part, Cell line, Treatment, Time

View Samples
accession-icon GSE66258
Comprehensive Analysis of Recurrence-Associated Small Non-Coding RNAs in Esophageal Cancer [clinical study, Illumina]
  • organism-icon Homo sapiens
  • sample-icon 21 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

Targeted cancer therapy for squamous cell carcinoma (SCC) has made little progress largely due to a lack of knowledge of the driving genomic alterations. Small non-coding RNAs (sncRNAs) as a potential biomarker and therapeutic target to SCC remain a challenge. We analyzed sncRNAs microarray in 108 fresh frozen specimens of esophageal squamous cell carcinoma (ESCC) as discovery set and assessed associations between sncRNAs and recurrence-free survival. SncRNA signature identified was externally validated in two independent cohorts. We investigated the functional consequences of sncRNA identified and its integrative analysis of complex cancer genomics. We identified 3 recurrence-associated sncRNAs (miR-223, miR-1269a and nc886) from discovery set and proved risk prediction model externally in high and low volume centers. We uncovered through in vitro experiment that nc886 was down-regulated by hypermethylation of its promoter region and influences splicing of pre-mRNAs with minor introns by regulating expression of minor spliceosomal small nuclear RNAs (snRNAs) such as RNU4atac. Integrative analysis from lung SCC data in The Cancer Genome Atlas revealed that patients with lower expression of nc886 had more genetic alterations of TP53, DNA damage response and cell cycle genes. nc886 inhibits minor splicing to suppress expression of certain oncogenes such as PARP1 and E2F family containing minor introns. We present risk prediction model with sncRNAs for ESCC. Among them, nc886 may contribute to complete minor splicing via regulation of minor spliceosomal snRNAs supporting the notion that aberrant alteration in minor splicing might be a key driver of ESCC.

Publication Title

Integrated genomic analysis of recurrence-associated small non-coding RNAs in oesophageal cancer.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE55854
Comprehensive Analysis of Recurrence-Associated Small Non-Coding RNAs in Esophageal Cancer [Illumina]
  • organism-icon Homo sapiens
  • sample-icon 18 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

Targeted cancer therapy for squamous cell carcinoma (SCC) has made little progress largely due to a lack of knowledge of the driving genomic alterations. Small non-coding RNAs (sncRNAs) as a potential biomarker and therapeutic target to SCC remain a challenge. We analyzed sncRNAs microarray in 108 fresh frozen specimens of esophageal squamous cell carcinoma (ESCC) as discovery set and assessed associations between sncRNAs and recurrence-free survival. SncRNA signature identified was externally validated in two independent cohorts. We investigated the functional consequences of sncRNA identified and its integrative analysis of complex cancer genomics. We identified 3 recurrence-associated sncRNAs (miR-223, miR-1269a and nc886) from discovery set and proved risk prediction model externally in high and low volume centers. We uncovered through in vitro experiment that nc886 was down-regulated by hypermethylation of its promoter region and influences splicing of pre-mRNAs with minor introns by regulating expression of minor spliceosomal small nuclear RNAs (snRNAs) such as RNU4atac. Integrative analysis from lung SCC data in The Cancer Genome Atlas revealed that patients with lower expression of nc886 had more genetic alterations of TP53, DNA damage response and cell cycle genes. nc886 inhibits minor splicing to suppress expression of certain oncogenes such as PARP1 and E2F family containing minor introns. We present risk prediction model with sncRNAs for ESCC. Among them, nc886 may contribute to complete minor splicing via regulation of minor spliceosomal snRNAs supporting the notion that aberrant alteration in minor splicing might be a key driver of ESCC.

Publication Title

Integrated genomic analysis of recurrence-associated small non-coding RNAs in oesophageal cancer.

Sample Metadata Fields

Cell line, Treatment, Time

View Samples
accession-icon GSE29859
Expression data from hypervitaminosis A rat diaphyseal bone
  • organism-icon Rattus norvegicus
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome 230 2.0 Array (rat2302)

Description

Vitamin A is the only known compound that produces spontaneous fractures in rats. In an effort to resolve the molecular mechanism behind this effect, we fed young rats high doses of vitamin A and performed a global transcriptional analysis of diaphyseal bone after one week, i.e. just before the first fractures appeared. Microarray gene expression analysis revealed that 68 transcripts were differentially expressed in hypervitaminotic cortical bone and 118 transcripts were found when the bone marrow was also included. 98% of the differentially expressed genes in the bone marrow sample were up-regulated. In contrast, hypervitaminotic cortical bone without marrow showed reduced expression of 37% of differentially expressed genes. Gene Ontology (GO) analysis revealed that only samples containing bone marrow were associated to a GO term, which principally represented extracellular matrix (ECM). This is consistent with the histological findings of increased endosteal bone formation. Four of the genes in this ECM cluster and four other genes, including Cyp26b1 which is known to be up-regulated by vitamin A, were selected and verified by real-time PCR. In addition, immunohistochemical staining of bone sections confirmed that the bone-specific molecule, osteoadherin (Omd) was up-regulated. Further analysis of the major gene expression changes revealed distinct differences between cortical bone and bone marrow, e.g. there appeared to be augmented Wnt signaling in the bone marrow but reduced Wnt signaling in cortical bone. Moreover, induced expression of hypoxia-associated genes was only found in samples containing bone marrow. Together, these results corroborate our previous observations of compartment-specific effects of vitamin A, with reduced periosteal but increased endosteal bone formation, and suggest important roles for Wnt signaling and hypoxia in the processes leading to spontaneous fractures.

Publication Title

Microarray profiling of diaphyseal bone of rats suffering from hypervitaminosis A.

Sample Metadata Fields

Sex, Age, Specimen part, Disease

View Samples
accession-icon GSE50738
Expression data from human induced pluripotent stem cells derived retinal pigment epithelium (hiPSC-RPE)
  • organism-icon Homo sapiens
  • sample-icon 39 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

We generated hiPSCs from patients fibloblast with retinitis pigmentosa (RP) using retrovirus and Sendai virus vectors, which we differentiated into hiPSC derived retinal pigment epithelium using two different methods (SDIA and SFEB methods).

Publication Title

Characterization of human induced pluripotent stem cell-derived retinal pigment epithelium cell sheets aiming for clinical application.

Sample Metadata Fields

Cell line

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accession-icon GSE31434
Expression data from HeLa cells transfected with SLC44A5
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

We identified SLC44A5 as a gene associated with birth weight in cattle based on genome wide association studies.

Publication Title

The molecular effects of a polymorphism in the 5'UTR of solute carrier family 44, member 5 that is associated with birth weight in Holsteins.

Sample Metadata Fields

Cell line

View Samples
accession-icon GSE5231
IGF1R Mediates Mammalian Immune Function in Response to FEZL
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Evidence that bovine forebrain embryonic zinc finger-like gene influences immune response associated with mastitis resistance.

Sample Metadata Fields

No sample metadata fields

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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