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accession-icon SRP066481
A Mammalian Enhancer trap Resource for Discovering and Manipulating Neuronal Cell Types
  • organism-icon Mus musculus
  • sample-icon 22 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

There is a continuing need for driver strains to enable cell type-specific manipulation in the nervous system. Each cell type expresses a unique set of genes, and recapitulating expression of marker genes by BAC transgenesis or knock-in has generated useful transgenic mouse lines. However since genes are often expressed in many cell types, many of these lines have relatively broad expression patterns. We report an alternative transgenic approach capturing distal enhancers for more focused expression. We identified an enhancer trap probe often producing restricted reporter expression and developed efficient enhancer trap screening with the PiggyBac transposon. We established more than 200 lines and found many lines that label small subsets of neurons in brain substructures, including known and novel cell types. Images and other information about each line are available online (http://enhnacertrap.bio.brandeis.edu). Overall design: Examination of 6 cortical mouse neuronal cell types. 5 of which are in layer 6 in 3 different cortical regions.

Publication Title

A Mammalian enhancer trap resource for discovering and manipulating neuronal cell types.

Sample Metadata Fields

Sex, Cell line, Subject

View Samples
accession-icon GSE65095
FinHER trial : Patients with human epidermal growth factor receptor 2 (HER2)positive breast cancer
  • organism-icon Homo sapiens
  • sample-icon 203 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U219 Array (hgu219)

Description

The FinHER trial is a multicentre phase 3 randomised adjuvant breast cancer trial that enrolled 1010 patients. The women were randomly assigned to receive three cycles of docetaxel or vinorelbine, followed by three cycles of fluorouracil, epirubicin, and cyclophosphamide.

Publication Title

Integrative proteomic and gene expression analysis identify potential biomarkers for adjuvant trastuzumab resistance: analysis from the Fin-her phase III randomized trial.

Sample Metadata Fields

Age, Disease stage

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accession-icon SRP032173
Expression of ATHB17 in Maize Increases Ear Weight at Silking
  • organism-icon Zea mays
  • sample-icon 18 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Transformation of the Arabidopsis ATHB17 gene into maize results in the expression of a truncated protein (smaller by 113 amino acids) that functions as a dominant-negative regulator that can modify activity of endogenous maize HD-Zip II transcription factors. This RNASeq experiment indicates that the observed effects of ATHB17d113 on the maize ear inflorescence and ear transcriptome are very small. Expression of ATHB17delta113 protein in maize leads to changes in ear growth resulting in increased ear size at early reproductive stages and, potentially increased sink size. Overall design: Two ATHB17delta113 expressing events (Event 1 and Event 2) were compared to control plants (herein referred to as WT) in the context of Monsanto Elite Maize hybrid line NN6306. Three bioreps of both Ear inflorescence and Ear tissues were sampled for the WT and each of the two transgenic events.

Publication Title

Expression of a truncated ATHB17 protein in maize increases ear weight at silking.

Sample Metadata Fields

Specimen part, Subject

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accession-icon GSE70763
Gene profiling of naive, virus-induced and inflammatory-induced memory CD8 T lymphocytes in homeostatic condition and after stimulation.
  • organism-icon Mus musculus
  • sample-icon 40 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Transcriptome analysis comparing naive, protective and non-protective spleen memory CD8 T lymphocytes were conducted to identify key functions associated with memory CD8-mediated immune protection. Memory CD8 T cells generated in response to influenza or vaccinia infection (Flu-memory and VV-memory) were compared to inflammatory memory cells (TIM) that were generated by peptide in inflammatory context. Gene expression analysis was performed on quiescent and re-stimulated CD8 T cells.

Publication Title

Immune signatures of protective spleen memory CD8 T cells.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE27306
IRE1-dependent transcriptome remodelling upon ER stress in human glioma cells
  • organism-icon Homo sapiens
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

We investigate the contribution of IRE1 signaling to the modulation of U87 glioma cells transcriptome upon various stresses. To this end, IRE1 control and IRE1 dominant negative expressing U87 glioma cells were subjected to environmental or chemical challenges and their transcriptome monitored using Affymetrix microarrays.

Publication Title

Posttranscriptional regulation of PER1 underlies the oncogenic function of IREα.

Sample Metadata Fields

Cell line, Treatment

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accession-icon GSE93338
Feasibility of Developing Reliable Gene Expression Modules from FFPE Derived RNA Profiled on Affymetrix Arrays
  • organism-icon Homo sapiens
  • sample-icon 38 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

Feasibility of developing reliable gene expression modules from FFPE derived RNA profiled on Affymetrix arrays.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE93334
FFPE samples profiled on HG-U133plus2 array with Affymetrix's GeneChip 3' IVT Express kit
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The reliability of differential expression analysis on FFPE expression profiles from Affymetrix arrays is questionable, due to the wide range of percent-present values reported in studies which profiled FFPE samples on Affymetrix arrays. Moreover the validity of externally defined gene-modules in FFPE microarray expression profiles is unknown. Using eight breast cancer tumors with available frozen and FFPE samples, five sample-matched data sets were generated from different combination of Affymetrix arrays, amplification-and-labeling kit and sample preservation method. The reliability of differential expression analysis was investigated by developing de novo ER/HER2 pathway gene-modules from matched data sets and validating it on external data set using ROC analysis. Spearman's rank correlation coefficient of module scores between matched FFPE-frozen expression profiles was used to measure reliability of externally defined gene-modules in FFPE expression profiles. Independent of array/amplification-kit/sample preservation method used, de novo ER/HER2 gene-modules derived from all matching data sets showed similar prediction performance during independent validation (AUC range; ER: 0.92-0.95, HER2: 0.88-0.91), except for de novo HER2 gene-module derived from FFPE data set with 3'IVT kit (AUC: 0.67-0.72). Further not all gene-module based biological signals present in frozen expression profiles can be recovered from matching FFPE microarray expression profiles using the currently available FFPE specific sample preparation kits. The gene-module based biological signal extracted from FFPE RNA, using microarrays, may not be as reliable as that from their frozen counterpart, if the sample preparation protocol used with FFPE RNA failed to recover relevant genes involved in the biological signal.

Publication Title

Feasibility of developing reliable gene expression modules from FFPE derived RNA profiled on Affymetrix arrays.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE93332
Fresh-Frozen samples profiled on HG-U133plus2 array with Affymetrix's GeneChip 3' IVT Express kit
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The reliability of differential expression analysis on FFPE expression profiles from Affymetrix arrays is questionable, due to the wide range of percent-present values reported in studies which profiled FFPE samples on Affymetrix arrays. Moreover the validity of externally defined gene-modules in FFPE microarray expression profiles is unknown. Using eight breast cancer tumors with available frozen and FFPE samples, five sample-matched data sets were generated from different combination of Affymetrix arrays, amplification-and-labeling kit and sample preservation method. The reliability of differential expression analysis was investigated by developing de novo ER/HER2 pathway gene-modules from matched data sets and validating it on external data set using ROC analysis. Spearman's rank correlation coefficient of module scores between matched FFPE-frozen expression profiles was used to measure reliability of externally defined gene-modules in FFPE expression profiles. Independent of array/amplification-kit/sample preservation method used, de novo ER/HER2 gene-modules derived from all matching data sets showed similar prediction performance during independent validation (AUC range; ER: 0.92-0.95, HER2: 0.88-0.91), except for de novo HER2 gene-module derived from FFPE data set with 3'IVT kit (AUC: 0.67-0.72). Further not all gene-module based biological signals present in frozen expression profiles can be recovered from matching FFPE microarray expression profiles using the currently available FFPE specific sample preparation kits. The gene-module based biological signal extracted from FFPE RNA, using microarrays, may not be as reliable as that from their frozen counterpart, if the sample preparation protocol used with FFPE RNA failed to recover relevant genes involved in the biological signal.

Publication Title

Feasibility of developing reliable gene expression modules from FFPE derived RNA profiled on Affymetrix arrays.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE93336
FFPE samples profiled on HG-U219 array with Nugen's Ovation FFPE WTA System and EncoreTM Biotin Module
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The reliability of differential expression analysis on FFPE expression profiles from Affymetrix arrays is questionable, due to the wide range of percent-present values reported in studies which profiled FFPE samples on Affymetrix arrays. Moreover the validity of externally defined gene-modules in FFPE microarray expression profiles is unknown. Using eight breast cancer tumors with available frozen and FFPE samples, five sample-matched data sets were generated from different combination of Affymetrix arrays, amplification-and-labeling kit and sample preservation method. The reliability of differential expression analysis was investigated by developing de novo ER/HER2 pathway gene-modules from matched data sets and validating it on external data set using ROC analysis. Spearman's rank correlation coefficient of module scores between matched FFPE-frozen expression profiles was used to measure reliability of externally defined gene-modules in FFPE expression profiles. Independent of array/amplification-kit/sample preservation method used, de novo ER/HER2 gene-modules derived from all matching data sets showed similar prediction performance during independent validation (AUC range; ER: 0.92-0.95, HER2: 0.88-0.91), except for de novo HER2 gene-module derived from FFPE data set with 3'IVT kit (AUC: 0.67-0.72). Further not all gene-module based biological signals present in frozen expression profiles can be recovered from matching FFPE microarray expression profiles using the currently available FFPE specific sample preparation kits. The gene-module based biological signal extracted from FFPE RNA, using microarrays, may not be as reliable as that from their frozen counterpart, if the sample preparation protocol used with FFPE RNA failed to recover relevant genes involved in the biological signal.

Publication Title

Feasibility of developing reliable gene expression modules from FFPE derived RNA profiled on Affymetrix arrays.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE93335
Fresh-Frozen samples profiled on HG-U219 array with Nugen's Ovation FFPE WTA System and EncoreTM Biotin Module [dataset 3]
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The reliability of differential expression analysis on FFPE expression profiles from Affymetrix arrays is questionable, due to the wide range of percent-present values reported in studies which profiled FFPE samples on Affymetrix arrays. Moreover the validity of externally defined gene-modules in FFPE microarray expression profiles is unknown. Using eight breast cancer tumors with available frozen and FFPE samples, five sample-matched data sets were generated from different combination of Affymetrix arrays, amplification-and-labeling kit and sample preservation method. The reliability of differential expression analysis was investigated by developing de novo ER/HER2 pathway gene-modules from matched data sets and validating it on external data set using ROC analysis. Spearman's rank correlation coefficient of module scores between matched FFPE-frozen expression profiles was used to measure reliability of externally defined gene-modules in FFPE expression profiles. Independent of array/amplification-kit/sample preservation method used, de novo ER/HER2 gene-modules derived from all matching data sets showed similar prediction performance during independent validation (AUC range; ER: 0.92-0.95, HER2: 0.88-0.91), except for de novo HER2 gene-module derived from FFPE data set with 3'IVT kit (AUC: 0.67-0.72). Further not all gene-module based biological signals present in frozen expression profiles can be recovered from matching FFPE microarray expression profiles using the currently available FFPE specific sample preparation kits. The gene-module based biological signal extracted from FFPE RNA, using microarrays, may not be as reliable as that from their frozen counterpart, if the sample preparation protocol used with FFPE RNA failed to recover relevant genes involved in the biological signal.

Publication Title

Feasibility of developing reliable gene expression modules from FFPE derived RNA profiled on Affymetrix arrays.

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)

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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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