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accession-icon GSE36526
Hes6 drives a network with therapeutic potential in castrate-resistant prostate cancer
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip, Illumina HumanHT-12 V3.0 expression beadchip

Description

Castrate-resistant prostate cancer (CRPC) is poorly characterized and heterogeneous and while the androgen receptor (AR) is of singular importance in early prostate cancer, other factors such as c-Myc and the E2F family also play a role in later stage disease. Hes6 is a transcription co-factor that has been associated with neurogenesis during gastrulation, a neuroendocrine phenotype in the prostate and metastasis in breast cancer but its role in prostate cancer remains uncertain. Here we show that Hes6 is controlled by c-Myc and AR and drives castration resistance in prostate cancer. Hes6 activates a cell-cycle enhancing transcriptional network that maintains tumour growth and nuclear AR localization in castrate conditions. We show aphysical interaction between E2F1 and both Hes6 and AR, and suggest a co-dependency of these transcription factors in castration-resistance. In the clinical setting, we have uncovered a Hes6-associated signature that predicts poor outcome in prostate cancer, which can be pharmacologically targeted. We have therefore shown for the first time the critical role of Hes6 in the development of CRPC and identified its potential in patient specific therapeutic strategies.

Publication Title

HES6 drives a critical AR transcriptional programme to induce castration-resistant prostate cancer through activation of an E2F1-mediated cell cycle network.

Sample Metadata Fields

Specimen part, Disease, Cell line

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accession-icon GSE36434
Hes6 expression is controlled by c-Myc and the AR to promote E2F1 activity and poor outcome in castrate-resistant prostate cancer (LNCaP)
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V3.0 expression beadchip

Description

Hes6 is a transcription co-factor that is associated with stem cell characteristics in neural tissue, but its role in cancer remains uncertain. Here we show that Hes6 is controlled by c-Myc and the AR and can drive castration resistance in xenografts of the androgen-dependent LNCaP prostate cancer cell line model. Hes6 activates a cell cycle enhancing transcriptional network that maintains tumour growth in the absence of circulating androgen but with maintained nuclear AR. We demonstrate interaction between E2F1, the AR and Hes6 and show the co-dependency of these factors in the castration-resistant setting. In the clinical setting, we have discovered a Hes6-associated signature that predicts poor outcome in prostate cancer, which could be pharmacologically targeted.

Publication Title

HES6 drives a critical AR transcriptional programme to induce castration-resistant prostate cancer through activation of an E2F1-mediated cell cycle network.

Sample Metadata Fields

Cell line

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accession-icon GSE4870
Expression data from T65H translocation mice
  • organism-icon Mus musculus
  • sample-icon 45 Downloadable Samples
  • Technology Badge Icon Affymetrix Murine Genome U74A Version 2 Array (mgu74av2)

Description

Tissue-specific comparison of gene expression levels in T65H translocation mice, either with or without uniparental duplications of Chrs 7 & 11. Identification of highly differentially expressed transcripts.

Publication Title

Chromosome-wide identification of novel imprinted genes using microarrays and uniparental disomies.

Sample Metadata Fields

Specimen part

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accession-icon GSE11789
Expression data from MatDp(dist2) and PatDp(dist2) mice
  • organism-icon Mus musculus
  • sample-icon 2 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Comparison of gene expression levels between MatDp(dist2) and PatDp(dist2) mice (newborn whole head). Identification of highly differentially expressed transcripts.

Publication Title

Transcript- and tissue-specific imprinting of a tumour suppressor gene.

Sample Metadata Fields

Specimen part

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accession-icon GSE30550
Temporal expression data from 17 health human subjects before and after they were challenged with live influenza (H3N2/Wisconsin) viruses
  • organism-icon Homo sapiens
  • sample-icon 268 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

The transcriptional responses of human hosts towards influenza viral pathogens are important for understanding virus-mediated immunopathology. Despite great advances gained through studies using model organisms, the complete temporal host transcriptional responses in a natural human system are poorly understood. In a human challenge study using live influenza (H3N2/Wisconsin) viruses, we conducted a clinically uninformed (unsupervised) factor analysis on gene expression profiles and established an ab initio molecular signature that strongly correlates to symptomatic clinical disease. This is followed by the identification of 42 biomarkers whose expression patterns best differentiate early from late phases of infection. In parallel, a clinically informed (supervised) analysis revealed over-stimulation of multiple viral sensing pathways in symptomatic hosts and linked their temporal trajectory with development of diverse clinical signs and symptoms. The resultant inflammatory cytokine profiles were shown to contribute to the pathogenesis because their significant increase preceded disease manifestation by 36 hours. In subclinical asymptomatic hosts, we discovered strong transcriptional regulation of genes involved in inflammasome activation, genes encoding virus interacting proteins, and evidence of active anti-oxidant and cell-mediated innate immune response. Taken together, our findings offer insights into influenza virus-induced pathogenesis and provide a valuable tool for disease monitoring and management in natural environments.

Publication Title

Temporal dynamics of host molecular responses differentiate symptomatic and asymptomatic influenza a infection.

Sample Metadata Fields

Specimen part

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accession-icon SRP063006
Gene expression analysis of TIL rich HPV driven head and neck tumours reveals a distinct B-cell signature when compared to HPV independent tumours.
  • organism-icon Homo sapiens
  • sample-icon 46 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

Purpose: Human papilloma virus (HPV) associated head and neck squamous cell carcinoma (HNSCC) has a better prognosis than HPV(-) negative cancer. This may be due, in part, to the higher number of tumour infiltrating lymphocytes (TIL) in HPV(+) tumours. We used RNAseq to evaluate whether these differences in clinical behaviour could be explained simply by a numerical difference in TILs or whether there was a fundamental difference between TILs in these two settings. Patients and methods: Twenty-three consecutive HNSCC cases with high and moderate TIL density were subjected to RNAseq analysis. Differentially expressed genes (DEG) between 10 HPV(+) and 13 HPV(-) tumours were identified with EdgeR. Immune subset analysis was performed using, FAIME (Functional Analysis of Individual Microarray Expression) and Immune gene transcript count analysis. Results: 1634 genes were differentially expressed. There was a dominant immune signature in HPV(+) tumours. After normalizing expression profiles for numerical differences in T cells and B cells, 437 significantly DEGs still remained. A B-cell associated signature emerged, which segregated HPV(+) from HPV(-) cancers and included CD200, STAG3, GGA2, SPIB and ADAM28. Differential expression of these genes was confirmed by real-time quantitative PCR and immunohistochemistry. Conclusion: In our dataset, the difference associated with T-cells between patients with HPV(+) and (-) HNSCC was predominantly numerical. However, when TIL numbers are corrected, a distinct differential B-cell signature was revealed. Overall design: mRNA profiles of 10 HPV driven (HPV+) and 13 HPV independant (HPV-) head and neck squamous cell carcinoma (HNSCC) tumours were generated by RNA-Seq, using Illumina HiSeq 2000.

Publication Title

HPV, tumour metabolism and novel target identification in head and neck squamous cell carcinoma.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE18972
E. coli BW25113 frdC vs. E. coli BW25113 HW2
  • organism-icon Escherichia coli
  • sample-icon 2 Downloadable Samples
  • Technology Badge Icon Affymetrix E. coli Genome 2.0 Array (ecoli2)

Description

Glycerol is an attractive feedstock for biofuels since it accumulates as a byproduct during biodiesel operations; hence, it is interesting to consider converting glycerol to hydrogen using the formate hydrogen lyase system of Escherichia coli which converts pyruvate to hydrogen. Starting with Escherichia coli BW25113 frdC that lacks fumarate reductase to eliminate the negative effect of accumulated hydrogen on glycerol fermentation and by using both adaptive evolution and chemical mutagenesis combined with a selection method based on increased growth on glycerol, we obtained an improved strain, HW2, that produces 20-fold more hydrogen in glycerol medium (0.68 mmol/L/h) compared to that of frdC mutant. HW2 also grows 5-fold faster (0.25 1/h) than BW25113 frdC on glycerol, so it achieves a reasonable growth rate. Corroborating the increase in hydrogen production, glycerol dehydrogenase activity in HW2 increased 4-fold compared to BW25113 frdC. In addition, a whole-transcriptome study revealed that several pathways that would decrease hydrogen yields were repressed in HW2 (fbp, focA, and gatYZ) while a beneficial pathway, eno which encodes enolase was induced.

Publication Title

An evolved Escherichia coli strain for producing hydrogen and ethanol from glycerol.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE29803
Escherichia coli BW25113 cobB/pCA24N-cobB vs. cobB/pCA24N under stress conditions
  • organism-icon Escherichia coli
  • sample-icon 2 Downloadable Samples
  • Technology Badge Icon Affymetrix E. coli Genome 2.0 Array (ecoli2)

Description

Acetylation of lysine residues is conserved in all three kingdoms; however, its role in prokaryotes is unknown. Here we demonstrate that acetylation enables the reference bacterium Escherichia coli to withstand environmental stress. Specifically, the bacterium reaches higher cell densities and becomes more resistant to heat and oxidative stress when its proteins are acetylated, as shown by deletion of the gene encoding acetyltransferase YfiQ and the gene encoding deacetylase CobB, as well as by overproducing YfiQ and CobB. Furthermore, we show that the increase in oxidative stress resistance with acetylation is due to the induction of catalase activity through enhanced katG expression. We also found that two-component system proteins CpxA, PhoP, UvrY, and BasR are associated with cell catalase activity and may be responsible as the connection between bacterial acetylation and the stress response. This is the first demonstration of a specific environmental role of acetylation in prokaryotes.

Publication Title

Protein acetylation in prokaryotes increases stress resistance.

Sample Metadata Fields

Treatment

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accession-icon GSE13871
Pseudomonas aeruginosa PA14 wild-type vs the tpbA (PA14_13660) mutant
  • organism-icon Pseudomonas aeruginosa
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Pseudomonas aeruginosa Array (paeg1a)

Description

Microarray analysis for the biofilm cells of Pseudomonas aeruginosa PA14 wild-type vs the tpbA (PA14_13660) mutant in LB medium at 4 and 7 h at 37C

Publication Title

Connecting quorum sensing, c-di-GMP, pel polysaccharide, and biofilm formation in Pseudomonas aeruginosa through tyrosine phosphatase TpbA (PA3885).

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE8618
P. aeruginosa virulent factor to barley
  • organism-icon Hordeum vulgare
  • sample-icon 3 Downloadable Samples
  • Technology Badge Icon Affymetrix Barley Genome Array (barley1)

Description

To identify the difference of gene expression in barley upon P. aeruginosa PAO1 and less pathogenic PA5021 mutant

Publication Title

Potassium and sodium transporters of Pseudomonas aeruginosa regulate virulence to barley.

Sample Metadata Fields

No sample metadata fields

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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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