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accession-icon GSE43730
A Myc transcriptional program that is independent of EMT drives a poor prognosis tumor-propagating phenotype in HER2+ breast cancer
  • organism-icon Homo sapiens
  • sample-icon 11 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

The HER2 (ERBB2) and MYC genes are commonly amplified genes in breast cancer, yet little is known about their molecular and clinical interaction. Using a novel chimeric mammary transgenic approach and in vitro models, we demonstrate markedly increased self renewal and tumour propagating capability of cells transformed with Her2 and c-Myc. Co-expression of both oncogenes in cultured cells led to a pronounced activation of a c-Myc transcriptional signature and acquisition of a self renewing phenotype independent of an EMT programme or regulation of cancer stem cell markers. We show that HER2 and c-MYC are frequently co-amplified in a clinical breast cancer cohort and that co-amplification is strongly associated with aggressive clinical behaviour and poor outcome. Lastly, we show that in patients receiving adjuvant chemotherapy (but not targeted anti-HER2 therapy), MYC amplification is associated with a poor outcome in HER2+ breast cancer patients. These findings demonstrate the importance of molecular context in oncogenic transformation and acquisition of a malignant stem-like phenotype and have important diagnostic and therapeutic consequences for the clinical management of HER2+ breast cancer.

Publication Title

c-Myc and Her2 cooperate to drive a stem-like phenotype with poor prognosis in breast cancer.

Sample Metadata Fields

Sex, Specimen part, Cell line

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accession-icon SRP032280
MDA-MB-231 cell line transcriptome
  • organism-icon Homo sapiens
  • sample-icon 1 Downloadable Sample
  • Technology Badge IconIlluminaGenomeAnalyzerII

Description

RNAseq to determine baseline expression of kinome in MDA-MB-231 claudin-low breast cancer cell line

Publication Title

Dynamic reprogramming of the kinome in response to targeted MEK inhibition in triple-negative breast cancer.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP032344
SUM159PT cell line transcriptome
  • organism-icon Homo sapiens
  • sample-icon 1 Downloadable Sample
  • Technology Badge IconIlluminaGenomeAnalyzerII

Description

RNAseq of SUM159PT claudin-low breast cancer cell line to determine baseline kinome expression

Publication Title

Dynamic reprogramming of the kinome in response to targeted MEK inhibition in triple-negative breast cancer.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon E-MEXP-729
Transcription profiling of barley in response to nitrate, ammonium or both
  • organism-icon Hordeum vulgare
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Barley Genome Array (barley1)

Description

Comparative genomic analysis of nutrient response to NO3-, NH4+ or NH4+: NO3- in barley

Publication Title

Global transcriptional and physiological responses of Saccharomyces cerevisiae to ammonium, L-alanine, or L-glutamine limitation.

Sample Metadata Fields

Age, Specimen part, Subject, Compound

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accession-icon SRP120945
Transcriptome of Ustilago maydis during tumour formation in bundle sheath and mesophyll cells of Zea mays L.
  • organism-icon Zea mays
  • sample-icon 15 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 4000

Description

The biotrophic fungus Ustilago maydis causes smut disease on maize (Zea mays L.), which is characterized by immense plant tumours. To establish disease and reprogram organ primordia to tumours, U. maydis deploys effector proteins in an organ-specific manner. However, the cellular contribution to leaf tumours remains unknown. We investigated leaf tumour formation on the tissue- and cell type-specific level. Cytology and metabolite analysis were deployed to understand the cellular basis for tumourigenesis. Laser-capture microdissection was performed to gain a cell-type specific transcriptome of U. maydis during tumour formation. In-vivo visualization of plant DNA synthesis identified bundle sheath cells as the origin of hyperplasic tumour cells, while mesophyll cells become hypertrophic tumour cells. Cell type specific transcriptome profiling of U. maydis revealed tailored expression of fungal effector genes. Moreover, U. maydis See1 was identified the first cell type specific fungal effector, being required for induction of cell cycle reactivation in bundle sheath cells. Identification of distinct cellular mechanisms in two different leave cell types, and See1 as an effector for induction of proliferation of bundle-sheath cells, are major steps in understanding U. maydis-induced tumor formation. Moreover, the cell-type specific U. maydis transcriptome data is a valuable resource to the scientific community. Overall design: To analyze the cell type specific transcriptome of U. maydis during the indcution of plant tumors, transcriptomic profiling of U. maydis from LCM-dissected tumour cells was done. At 4 dpi, SG200 infected HTT cells, bundle sheath-derived HPT cells, and SG200?see1 infected HTT cells (?see1 HTT) were isolated. As controls, mesophyll and bundle sheath cells from mock treated leaf tissue of the same age were isolated.

Publication Title

Cell type specific transcriptional reprogramming of maize leaves during Ustilago maydis induced tumor formation.

Sample Metadata Fields

Specimen part, Subject

View Samples
accession-icon GSE10016
Expression data of Arabidopsis thaliana rosettes in an extended night
  • organism-icon Arabidopsis thaliana
  • sample-icon 14 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

Usually starch is nearly depleted at the end of the night. To induce a gradual depletion of carbon, we have analysed the global response of transcripts during an extension of the night, where carbon becomes severely limiting from about four hours onwards.

Publication Title

Global transcript levels respond to small changes of the carbon status during progressive exhaustion of carbohydrates in Arabidopsis rosettes.

Sample Metadata Fields

Specimen part

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accession-icon E-MEXP-1407
Transcription profiling by array of S. cerevisiae wild type, SNF1, SNF4, and double knock outs to investigate SNF1/4 dependent gene expression
  • organism-icon Saccharomyces cerevisiae
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Yeast Genome 2.0 Array (yeast2)

Description

The protrotophic laboratory strain CEN.PK113-7D (MAT a) and three knock-out strains snf1, snf4 and snf1snf4 were grown in laboratory fermentors with a working volume of 1 litre at dilution rate (D) of 0.10 per hour (in triplicate for each strain). At steady state, samples from each of the 12 continuous cultures were taken and cooled below 2 degree C within ten seconds by mixing 40% sample and 60% crushed ice.

Publication Title

Reconstruction of the yeast Snf1 kinase regulatory network reveals its role as a global energy regulator.

Sample Metadata Fields

Sex

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accession-icon E-MTAB-78
Transcription profiling of yeast grown in a three-factor design to study the relationship between specific growth rate and genome-wide gene expression
  • organism-icon Saccharomyces cerevisiae
  • sample-icon 36 Downloadable Samples
  • Technology Badge Icon Affymetrix Yeast Genome S98 Array (ygs98)

Description

A three-factor design was applied to study the relationship between specific growth rate and genome-wide gene expression in 36 steady-state chemostat cultures of Saccharomyces cerevisiae.

Publication Title

Transcription factor control of growth rate dependent genes in Saccharomyces cerevisiae: a three factor design.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE77153
Expression data from VND7 induction line
  • organism-icon Arabidopsis thaliana
  • sample-icon 69 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

Plants typically contain two different types of cell walls: a primary wall that is being deposited around all growing cells, and a secondary wall that is produced in cells with specialized functions once they have ceased to grow. In Arabidopsis, VND7 is a transcription factor that is sufficient to activate secondary cell wall synthesis. To artificially turn on the secondary cell wall synthesis, VND7 was fused to the activation domain of the herpes virus VP16 protein and the glucocorticoid receptor (GR) domain. Thus, the transgenic plants harbouring the constructs can then be treated with dexamethasone (DEX), a glucocorticoid derivative, to induce the secondary cell wall formation.

Publication Title

A Transcriptional and Metabolic Framework for Secondary Wall Formation in Arabidopsis.

Sample Metadata Fields

Specimen part, Treatment

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accession-icon GSE10522
Expression data of Arabidopsis thaliana rosettes during chilling
  • organism-icon Arabidopsis thaliana
  • sample-icon 21 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

To investigate the response of Arabidopsis thaliana plants to non-freezing, cool temperatures, we subjected four week old plants to various chilling temperatures at defined times during the diurnal cycle to control for diurnal effects on transcription. From the same plants, metabolites and enzyme activities were measured as well. Interestingly a gradual change could be observed over a wide range of temperatures. Some of which could be attributed to the CBF program.

Publication Title

Multilevel genomic analysis of the response of transcripts, enzyme activities and metabolites in Arabidopsis rosettes to a progressive decrease of temperature in the non-freezing range.

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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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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