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accession-icon GSE6313
Comparison of Hybridization-based and Sequencing-based Gene Expression Technologies on Biological Replicates
  • organism-icon Mus musculus
  • sample-icon 7 Downloadable Samples
  • Technology Badge Icon Affymetrix Murine Genome U74A Version 2 Array (mgu74av2)

Description

High-throughput systems for gene expression profiling have been developed and matured rapidly through the past decade. Broadly, these can be divided into two categories: hybridization-based and sequencing-based approaches. With data from different technologies being accumulated, concerns and challenges are raised regarding data comparability and agreement across technologies. Within an ongoing large-scale cross-platform data comparison framework, we report here a comparison based on identical samples between one-dye DNA microarray platforms and MPSS (Massively Parallel Signature Sequencing). The DNA microarray platforms generally provided highly correlated data, while moderate correlations between microarrays and MPSS were obtained. Disagreements between the two types of technologies can be attributed to limitations inherent to both technologies. The variation found between pooled biological replicates underlines the importance of exercising caution in identification of differential expression, especially for the purposes of biomarker discovery. Based on different principles, hybridization-based and sequencing-based technologies should be considered complementary to each other, rather than competitive, and currently, both provide indispensable tools for transcriptome profiling.

Publication Title

Comparison of hybridization-based and sequencing-based gene expression technologies on biological replicates.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE10745
HDAC Inhibitors Correct Frataxin Deficiency in a Friedreich Ataxia Mouse Model
  • organism-icon Mus musculus
  • sample-icon 48 Downloadable Samples
  • Technology Badge IconIllumina mouseRef-8 v1.1 expression beadchip

Description

Background: Friedreich ataxia, an autosomal recessive neurodegenerative and cardiac disease, is caused by abnormally low levels of frataxin, an essential mitochondrial protein. All Friedreich ataxia patients carry a GAA/TTC repeat expansion in the first intron of the frataxin gene, either in the homozygous state or in compound heterozygosity with other loss-of-function mutations. The GAA expansion inhibits frataxin expression through a heterochromatin-mediated repression mechanism. Histone modifications that are characteristic of silenced genes in heterochromatic regions occur at expanded alleles in cells from Friedreich ataxia patients, including increased trimethylation of histone H3 at lysine 9 and hypoacetylation of histones H3 and H4.

Publication Title

HDAC inhibitors correct frataxin deficiency in a Friedreich ataxia mouse model.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE48125
Neonatal antibotic prophylaxis modulates intestinal immunity and prevents necrotizing enterocolitis in preterm neonates
  • organism-icon Sus scrofa
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Porcine Genome Array (porcine)

Description

Caesarean-delivered preterm pigs were fed 3 d of parenteral nutrition followed by 2 d of enteral formula feeding. Antibiotics (n=11) or control saline (n=13) were given twice daily from birth to tissue collection at d 5. NEC-lesions and intestinal structure, function, microbiology and immunity markers were recorded.

Publication Title

Antibiotics modulate intestinal immunity and prevent necrotizing enterocolitis in preterm neonatal piglets.

Sample Metadata Fields

Specimen part, Treatment

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accession-icon GSE5287
Prediction of response and survival following chemotherapy in patients with advanced bladder cancer
  • organism-icon Homo sapiens
  • sample-icon 30 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

BACKGROUND

Publication Title

Emmprin and survivin predict response and survival following cisplatin-containing chemotherapy in patients with advanced bladder cancer.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE4854
Cross-platform study
  • organism-icon Mus musculus
  • sample-icon 13 Downloadable Samples
  • Technology Badge Icon Affymetrix Murine Genome U74A Version 2 Array (mgu74av2)

Description

Gene expression microarrays have made a profound impact in biomedical research. The diversity of platforms and analytical methods has made comparison of data from multiple platforms very challenging. In this study, we describe a framework for comparisons across platforms and laboratories. We have attempted to include nearly all the available commercial and in house platforms. Using probe sequences matched at the exon level improved consistency of measurements across the different microarray platforms compared to annotation-based matches. Generally, consistency was good for highly expressed genes, and variable for genes with lower expression values as confirmed by QRT-PCR. Concordance of measurements was higher between laboratories on the same platform than across platforms. We demonstrate that, after stringent pre-processing, commercial arrays were more consistent than in-house arrays, and by most measures, one-dye platforms were more consistent than two-dye platforms.

Publication Title

A sequence-oriented comparison of gene expression measurements across different hybridization-based technologies.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE4830
Affymetrix experiments for cross-platform study including site 2 data
  • organism-icon Mus musculus
  • sample-icon 13 Downloadable Samples
  • Technology Badge Icon Affymetrix Murine Genome U74A Version 2 Array (mgu74av2)

Description

Gene expression microarrays have made a profound impact in biomedical research. The diversity of platforms and analytical methods has made comparison of data from multiple platforms very challenging. In this study, we describe a framework for comparisons across platforms and laboratories. We have attempted to include nearly all the available commercial and in-house platforms. Using probe sequences matched at the exon level improved consistency of measurements across the different microarray platforms compared to annotation-based matches. Generally, consistency was good for highly expressed genes, and variable for genes with lower expression values as confirmed by QRT-PCR. Concordance of measurements was higher between laboratories on the same platform than across platforms. We demonstrate that, after stringent pre-processing, commercial arrays were more consistent than in-house arrays, and by most measures, one-dye platforms were more consistent than two-dye platforms.

Publication Title

A sequence-oriented comparison of gene expression measurements across different hybridization-based technologies.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE101185
VTA and NAC labeled ribosome from mPFC
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.0 ST Array (mogene20st)

Description

Projection-dependent ribosome profling from mouse mPFC.

Publication Title

Molecular and Circuit-Dynamical Identification of Top-Down Neural Mechanisms for Restraint of Reward Seeking.

Sample Metadata Fields

Specimen part

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accession-icon GSE42823
Specific sequence determinants of miR-15/107 microRNA gene group targets
  • organism-icon Homo sapiens
  • sample-icon 54 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Using anti-Argonaute (anti-AGO) antibody co-immunoprecipitation, followed by microarray analyses and downstream bioinformatics, RIP-Chip experiments enable direct analyses of miRNA targets. The analyses support four major findings: (i) RIP-Chip studies correlated with total input mRNA profiling provides more comprehensive information than using either RIP-Chip or total mRNA profiling alone after miRNA transfections; (ii) new data confirm that miR-107 paralogs target coding sequence (CDS) of mRNA; (iii) biochemical and computational studies indicate that the 3 portion of miRNAs plays a role in guiding miR-103/7 to the CDS of targets; and (iv) there are major sequence-specific targeting differences between miRNAs in terms of CDS versus 3-untranslated region targeting, and stable AGO association versus mRNA knockdown. For detailed protocol and for full discussion of the results please see Nelson PT et al, Nucleic Acids Res. 2011 Oct;39(18):8163-72.

Publication Title

Specific sequence determinants of miR-15/107 microRNA gene group targets.

Sample Metadata Fields

Specimen part, Disease, Cell line

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accession-icon GSE30946
Receptor Tyrosine Kinase Activation in Infantile Fibrosarcoma/Congenital Mesoblastic Nephroma
  • organism-icon Homo sapiens
  • sample-icon 55 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

The goal of this study is to identify downstream pathways, diagnostic markers, and potential therapeutic targets for IFS/CMN.

Publication Title

Mediators of receptor tyrosine kinase activation in infantile fibrosarcoma: a Children's Oncology Group study.

Sample Metadata Fields

Specimen part

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accession-icon SRP127589
Simultaneous Measurement of Transcriptional and Post-transcriptional Parameters by 3' end RNA-seq
  • organism-icon Saccharomyces cerevisiae
  • sample-icon 26 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Cellular RNA levels are determined by transcription and decay rates, which are fundamental in understanding gene expression regulation. Measurement of these two parameters is usually performed independently, complicating analysis and introducing methodological biases that hamper direct comparison. Here, we present a simple approach of concurrent sequencing of S. cerevisiae polyA+ and polyA- RNA 3' ends to simultaneously estimate total RNA levels, transcription and decay rates from the same RNA sample. The transcription data generated correlate well with reported estimates and also reveal local RNA polymerase stalling and termination sites with high precision. Although the method by design uses brief metabolic labeling of newly synthesized RNA with 4-thiouridine, the results demonstrate that transcription estimates can also be gained from unlabeled RNA samples. These findings underscore the potential of the approach, which should be generally applicable to study a range of biological questions in diverse organisms. Overall design: RNA 3' end seq of total and 2min 4-thiouracil (4tU) labelled RNA from S. cerevisiae cells. Aliquots of RNA were directly subjected to pA+ RNA 3' end sequencing (noPap samples). A second aliquot was in vitro polyadenylated using E. coli poly(A) polymerase and ribodepleted before library preparation (xPap samples).

Publication Title

Simultaneous Measurement of Transcriptional and Post-transcriptional Parameters by 3' End RNA-Seq.

Sample Metadata Fields

Cell line, 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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