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accession-icon GSE38885
Expression data from post-transplant lymphoproliferative disorder (PTLD) patient samples
  • organism-icon Homo sapiens
  • sample-icon 61 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

In this study we focussed on malignant post-transplant lymphomas.

Publication Title

Gene expression profiling reveals clear differences between EBV-positive and EBV-negative posttransplant lymphoproliferative disorders.

Sample Metadata Fields

Specimen part

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accession-icon GSE43583
Genome wide gene expression in a patient with 15q13.3 homozygous microdeletion syndrome
  • organism-icon Homo sapiens
  • sample-icon 13 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)

Description

We identified a novel homozygous 15q13.3 microdeletion in a young boy with a complex neurodevelopmental disorder characterized by severe cerebral visual impairment with additional signs of congenital stationary night blindness (CSNB), congenital hypotonia with areflexia, profound intellectual disability, and refractory epilepsy. The mechanisms by which the genes in the deleted region exert their effect are unclear. In this paper we probed the role of downstream effects of the deletions as a contributing mechanism to the molecular basis of the observed phenotype. We analyzed gene expression of lymphoblastoid cells derived from peripheral blood of the proband and his relatives to ascertain the relative effects of the homozygous and heterozygous deletions.

Publication Title

Genome-wide gene expression in a patient with 15q13.3 homozygous microdeletion syndrome.

Sample Metadata Fields

Cell line

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accession-icon GSE19154
Exon level integration of proteomics and microarray data
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [probe set (exon) version (huex10st)

Description

Background: Previous studies comparing quantitative proteomics and microarray data have generally found poor correspondence between the two. We hypothesised that this might in part be because the different assays were targeting different parts of the expressed genome and might therefore be subjected to confounding effects from processes such as alternative splicing. Results: Using a genome database as a platform for integration, we combined quantitative protein mass spectrometry with Affymetrix Exon array data at the level of individual exons. We found significantly higher degrees of correlation than have been previously observed (r=0.808). The study was performed using cell lines in equilibrium in order to reduce a major potential source of biological variation, thus allowing the analysis to focus on the data integration methods in order to establish their performance. Conclusion: We conclude that much of the variation observed when integrating microarray and proteomics data may occur as a consequence both of the data analysis and of the high granularity to which studies have until recently been limited. The approach opens up the possibility for the first time of considering combined microarray and proteomics datasets at the level of individual exons and isoforms, important given the high proportion of alternative splicing observed in the human genome.

Publication Title

Exon level integration of proteomics and microarray data.

Sample Metadata Fields

Cell line

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accession-icon SRP014146
Molecular Rejuvenation of Gene Expression Pattern of Photoaged and Intrinsically Aged Human Skin by Broadband Light Treatment
  • organism-icon Homo sapiens
  • sample-icon 15 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer II

Description

Studies in model organisms suggest that aged cells can be functionally rejuvenated, but whether this concept applies to human skin is unclear. Here we apply deep sequencing of RNA 3'' ends ("3-seq") to discover the gene expression program associated with human photoaging and intrinsic skin aging (collectively termed "skin aging") and the impact of broadband light (BBL) treatment. We find that skin aging was associated with the significantly altered expression level of 2,265 coding and noncoding RNAs, of which 1,293 became "rejuvenated" after BBL treatment, i.e. more similar in expression level of youthful skin. Rejuvenated genes (RGs) included several known key regulators of organismal longevity and their proximal long non-coding RNAs. Skin aging is not associated with systematic changes in 3'' end mRNA processing. Hence, BBL treatment can restore the gene expression pattern of photoaged and intrinsically aged human skin to resemble young skin. In addition, our data reveals a novel set of targets that may lead to new insights into the human skin aging process. Overall design: Examination of broadband light treated and untreated human skin transcriptomes of 5 women aged 50 years or more. They were compared to the skin transcriptomes of 5 young women aged 30 years or less.

Publication Title

Rejuvenation of gene expression pattern of aged human skin by broadband light treatment: a pilot study.

Sample Metadata Fields

Sex, Specimen part, Treatment, Subject

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accession-icon GSE11196
Fibrotic Myofibroblasts Manifest Genome-Wide Derangements of Translational Control
  • organism-icon Homo sapiens
  • sample-icon 46 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

As a group, fibroproliferative disorders of the lung, liver, kidney, heart, vasculature and integument are common, progressive and refractory to therapy. They can emerge following toxic insults, but are frequently idiopathic. Their enigmatic propensity to resist therapy and progress to organ failure has focused attention on the myofibroblast the primary effector of the fibroproliferative response. A central unanswered question is whether these myofibroblasts have acquired a distinct pathological phenotype - or whether they are normal myofibroblasts with a pathological phenotype that depends upon residing in a sea of pro-fibrotic cytokines and an abnormal extracellular matrix.

Publication Title

Fibrotic myofibroblasts manifest genome-wide derangements of translational control.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE6043
Translation initiation factor 4E confers primary human cells with neoplastic properties
  • organism-icon Homo sapiens
  • sample-icon 7 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Deregulation of translational control is an obligatory step in oncogenesis; however, this step has not been addressed by prior genomic and transcriptional profiling studies of cancer biology. Here we simulate the translational deregulation found in cancer by ectopically over expressing translation initiation factor eIF4E in primary human mammary epithelial cells; and examine its impact on cell biology and the pattern of ribosomal recruitment to mRNA genome wide. Over expression of eIF4E allows cells to bypass M0 premature growth arrest, but does not confer other malignant properties. However, in concert with hTERT, eIF4E imparts cells with growth and survival autonomy - and profoundly alters the pattern of polyribosome-associated mRNA encoding cell cycle and apoptosis regulators. The translational response to increased eIF4E is not only a unidirectional activation of oncogenic drivers, but also consists of complex intrinsic translational mechanisms that mitigate the acquisition of neoplastic properties.

Publication Title

Eukaryotic translation initiation factor 4E induced progression of primary human mammary epithelial cells along the cancer pathway is associated with targeted translational deregulation of oncogenic drivers and inhibitors.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE35776
Noncoding RNA expression in myocardium from infants with tetralogy of Fallot [mRNA profiling]
  • organism-icon Homo sapiens
  • sample-icon 27 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)

Description

This is the first report characterizing noncoding RNA expression in a congenital heart defect. The striking shift in expression of noncoding RNAs reflects a fundamental change in cell biology, likely impacting expression, transcript splicing and translation of developmentally important genes and possibly contributing to the cardiac defect. The importance of noncoding RNAs (ncRNA), especially microRNAs, for maintaining stability in the developing vertebrate heart has recently become apparent. However, there is little known about the expression pattern of ncRNA in the human heart with developmental anomalies.

Publication Title

Noncoding RNA expression in myocardium from infants with tetralogy of Fallot.

Sample Metadata Fields

Specimen part

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accession-icon GSE15697
A novel extracytoplasmic function (ECF) sigma factor regulates virulence in Pseudomonas aeruginosa
  • organism-icon Pseudomonas aeruginosa
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Pseudomonas aeruginosa Array (paeg1a)

Description

Next to the two-component and quorum sensing systems, cell-surface signaling (CSS) has been recently identified as an important regulatory system in Pseudomonas aeruginosa. CSS senses signals from outside the cell and transmits them into the cytoplasm. It consists of a TonB-dependent outer membrane receptor, a cytoplasmic membrane-localized sigma factor regulator (or anti-sigma factor), and an extracytoplasmic function (ECF) sigma factor. Upon perception of the extracellular signal by the receptor the ECF sigma factor is activated and promotes the transcription of a specific set of gene(s). Although most P. aeruginosa ECF sigma factors are involved in the regulation of iron uptake, we have identified a novel ECF sigma factor (PA0675) involved in the regulation of virulence. By microarray analysis of cells overexpressing PA0675 from the pMUM3 plasmid we have identified the genes regulated by this sigma factor.

Publication Title

A Novel extracytoplasmic function (ECF) sigma factor regulates virulence in Pseudomonas aeruginosa.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE85487
Effects of IFN-a and IFN-b on ex vivo ATL patient pbmcs
  • organism-icon Homo sapiens
  • sample-icon 20 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

The data contained in this record are used to differentiate between the effects of IFN-a and IFN-b on 48h cultures of the ex vivo pbmcs of ATL patients, using Affymetrix microarrays (HuGene 1.0).

Publication Title

IFN-β induces greater antiproliferative and proapoptotic effects and increased p53 signaling compared with IFN-α in PBMCs of Adult T-cell Leukemia/Lymphoma patients.

Sample Metadata Fields

Specimen part, Subject

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accession-icon GSE112453
Expression data from myeloid progenitors derived from control and antibiotic-treated wild-type C57BL/6 mice
  • organism-icon Mus musculus
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.0 ST Array (mogene20st)

Description

Myeloid progenitors derived from antibiotic-treated mice have cell-intrinsic functional defects. In this microarray dataset, the transcriptomes of bone marrow myeloid progenitors from antibiotic-treated and control mice are compared.

Publication Title

Microbiota-dependent signals are required to sustain TLR-mediated immune responses.

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)

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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