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accession-icon GSE32481
ERG deregulation induces PIM-1 over-expression and aneuploidy in prostate epitheilial cells
  • organism-icon Mus musculus
  • sample-icon 11 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

The ERG gene belongs to the ETS family of transcription factors and has been found involved in atypical chromosomal rearrangements in several cancers. To gain insight into the oncogenic activity of ERG, we compared the gene expression profile of NIH-3T3 cells stably expressing the coding regions of the three main ERG oncogenic fusions: TMPRSS2/ERG (tERG), EWS/ERG and FUS/ERG,. We found that all the three ERG fusions significantly up-regulate PIM-1 expression in the NIH-3T3 cell line. PIM-1 is a serine/threonine kinase frequently over-expressed in cancers of haematological and epithelial origin. We show here that tERG expression induces PIM-1 in the non-malignant prostate cell line RWPE-1, strengthening the relation between tERG and PIM-1 up-regulation in the initial stages of prostate carcinogenesis. Silencing of tERG reversed PIM-1 induction. A significant association between ERG and PIM-1 expression in clinical prostate carcinoma specimens was found, suggesting that such a mechanism may be relevant in vivo. Chromatin Immunoprecipitation experiments showed that tERG directly binds to PIM-1 promoter in the RWPE-1 prostate cell line, suggesting that tERG could be a direct regulator of PIM-1 expression. The up-regulation of PIM-1 induced by tERG over-expression significantly modified CyclinB1 levels and increased the percentage of aneuploid cells in the RWPE-1 cell line after 24hrs of taxane-based treatment. Here we provide the first evidence for an ERG-mediated PIM-1 up-regulation in prostate cells in vitro and in vivo, suggesting a direct effect of ERG transcriptional activity in the alteration of genetic stability.

Publication Title

ERG deregulation induces PIM1 over-expression and aneuploidy in prostate epithelial cells.

Sample Metadata Fields

Cell line

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accession-icon SRP125679
Concomitant BCORL1 and BRAF mutations in vemurafenib-resistant melanoma cells
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 3000

Description

BRAF is the most frequently mutated gene in melanoma. Constitutive activation of mutant BRAFV600E leads to aberrant Ras-independent MAPK signaling and cell transformation. Inhibition of mutant BRAF is a current front-line therapy for such cases, with improved survival compared with chemotherapy. Unfortunately, reactivation of MAPK signaling by several mechanisms has been shown to cause drug resistance and disease recurrence. In this work, we describe the co-occurrence of an in-frame deletion within an amplified BRAFV600E locus, and a missense point mutation of the transcriptional repressor BCORL1, in vemurafenib-resistant A375 melanoma cells. Functional data confirmed that truncated p47BRAFV600E and mutant BCORL1Q1076H both contribute to resistance. Interestingly, either endogenous BCORL1 silencing or ectopic BCORL1Q1076H expression mimicked the effects of a CRISPR/Cas9-edited BCORL1Q1076H locus, suggesting a change-of-function mutation. Transcriptomic data confirmed this hypothesis. Finally, we show that the pan-RAF inhibitor sorafenib is not affected by expression of BRAF deletion variant and effectively synergizes with vemurafenib to block resistant cells, suggesting a possible intervention for this class of mutants. Overall design: Nine total samples: 3 parental plus 3 BCORL1-WT and 3 BCORL1-MUT overexpressing cells

Publication Title

Concomitant BCORL1 and BRAF Mutations in Vemurafenib-Resistant Melanoma Cells.

Sample Metadata Fields

Cell line, Subject

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accession-icon SRP017138
RECURRENT SETBP1 MUTATIONS IN ATYPICAL CHRONIC MYELOID LEUKEMIA
  • organism-icon Homo sapiens
  • sample-icon 16 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer IIx

Description

RNA-Seq analysis of atypical chronic myeloid leukemia samples Overall design: We sequenced leukemic mRNA from 13 Atypical Cronic Mieloid Leukemia (aCML) samples by Illumina GAIIx. Transcriptomic profiles, differentially expressed genes and pathway enrichment analysis were obtained comparing 7 SETBP1-mutated samples and 6 non-mutated (WT) samples by using TopHat aligner and SAMMate gene expression quantifier. We focused on the gene expression profile of known coding transcripts. A dataset of 20,907 protein-coding Ensembl Genes was obtained from the RNA-Seq by using the Human Ensembl GTF annotation file vs54 dowloaded from ftp://ftp.ensembl.org/pub/release-54/gtf/homo_sapiens/.

Publication Title

Recurrent SETBP1 mutations in atypical chronic myeloid leukemia.

Sample Metadata Fields

Subject

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accession-icon SRP073181
Single cell sequencing of Dgcr8 knockout embryonic stem cells plus/minus miR-294 or let-7
  • organism-icon Mus musculus
  • sample-icon 232 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

We performed Fluidigm C1 single cell sequencing analysis of wild-type and microRNA deficient (Dgcr8 knockout) mouse embryonic stem cells mock treated or transfected with either miR-294 or let-7. Overall design: Wild-type and Dgcr8 knockout cells grown in naïve culture conditions were mock transfected or transfected with miRNA mimics for let-7b or miR-294, single cells were captured on Fluidigm C1 24 hours post-transfection and then prepared for sequencing on Illumina HiSeq1000 following manufacturer''s protocol.

Publication Title

The impact of microRNAs on transcriptional heterogeneity and gene co-expression across single embryonic stem cells.

Sample Metadata Fields

Specimen part, Subject

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accession-icon GSE94381
Global gene expression analysis highlights microgravity sensitive key genes in longissimus dorsi and tongue of 30 days space-flown mice
  • organism-icon Mus musculus
  • sample-icon 23 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430A 2.0 Array (mouse430a2)

Description

Microgravity as well as chronic muscle disuse are two causes of low back pain originated at least in part from paraspinal muscle deconditioning. At present no study investigated the complexity of the molecular changes in human or mouse paraspinal muscles exposed to microgravity. The aim of this study was to evaluate longissimus dorsi and tongue (as a new potential in-flight negative control) adaptation to microgravity at global gene expression level. C57BL/N6 male mice were flown aboard the BION-M1 biosatellite for 30 days (BF) or housed in a replicate flight habitat on ground (BG). . Global gene expression analysis identified 89 transcripts differentially regulated in longissimus dorsi of BF vs. BG mice (False Discovery Rrate < 0,05 and fold change < -2 and > +2), while only a small number of genes were found differentially regulated in tongue muscle ( BF vs. BG = 27 genes).

Publication Title

Microgravity-Induced Transcriptome Adaptation in Mouse Paraspinal &lt;i&gt;longissimus dorsi&lt;/i&gt; Muscle Highlights Insulin Resistance-Linked Genes.

Sample Metadata Fields

Specimen part

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accession-icon GSE80223
Global gene expression analysis highlights microgravity sensitive key genes in soleus and EDL of 30 days space flown mice
  • organism-icon Mus musculus
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430A 2.0 Array (mouse430a2)

Description

Microgravity exposure as well as chronic muscle disuse are two of the main causes of physiological adaptive skeletal muscle atrophy in humans and murine animals in physiological condition. The aim of this study was to investigate, at both morphological and global gene expression level, skeletal muscle adaptation to microgravity in mouse soleus and extensor digitorum longus (EDL). Adult male mice C57BL/N6 were flown aboard the BION-M1 biosatellite for 30 days on orbit (BF) or housed in a replicate flight habitat on Earth (BG) as reference flight control.

Publication Title

Gene Expression Profiling in Slow-Type Calf Soleus Muscle of 30 Days Space-Flown Mice.

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE31040
Gene expression analysis of human lymphoblastoid cell lines
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Human lymphoblastoid cell lines (EBV-immortalised B cells, LcL) obtained from subjects of different age (young 28-40 years, centenarians >95 years) were analysed for gene expression at basal culture conditions and after 48 hours of serum starvation. Lymphoid B cells from centenarians were more resistant to apoptosis induction and displayed a more developed lysosomal compartment, the most critical component of phagic machinery. In addition, cells from centenarians were capable of engulfing and digesting other cells, i.e. their siblings (even entire cells). This behavior was improved by nutrient deprivation, but strikingly, it was unaffected by the autophagy-modulating drugs rapamycin, an autophagy inducer, and 3-methyladenine, an autophagy inhibitor.

Publication Title

Survival features of EBV-stabilized cells from centenarians: morpho-functional and transcriptomic analyses.

Sample Metadata Fields

Sex, Age, Specimen part, Subject

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accession-icon SRP046327
Identification of differentially expressed genes during development of the zebrafish pineal complex using RNA sequencing
  • organism-icon Danio rerio
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

We describe a method for isolating RNA suitable for high-throughput RNA sequencing (RNA-seq) from small numbers of fluorescently labeled cells isolated from live zebrafish (Danio rerio) embryos without using costly, commercially available columns. This method ensures high cell viability after dissociation and suspension of cells and gives a very high yield of intact RNA. We demonstrate the utility of our new protocol by isolating RNA from fluorescence activated cell sorted (FAC sorted) pineal complex neurons in wild-type and tbx2b knockdown embryos at 24 hours post fertilization. Tbx2b is a transcription factor required for pineal complex formation. We describe a bioinformatics pipeline used to analyze differential expression following high-throughput sequencing and demonstrate the validity of our results using in situ hybridization of differentially expressed transcripts. This protocol brings modern transcriptome analysis to the study of small cell populations in zebrafish. Overall design: Differential expression analysis of mRNA levels in a single time-point (24 hpf) between wild-type and Tbx2b deficient FAC sorted pineal complex cells

Publication Title

Identification of differentially expressed genes during development of the zebrafish pineal complex using RNA sequencing.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE32015
Expression data from inducible ES stable cell lines
  • organism-icon Mus musculus
  • sample-icon 51 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

In order to identify the effects of the induction of the gene of interest on the mouse ES transcriptome, we performed Affymetrix Gene-Chip hybridization experiments for the different inducible cell lines

Publication Title

Reverse engineering a mouse embryonic stem cell-specific transcriptional network reveals a new modulator of neuronal differentiation.

Sample Metadata Fields

Specimen part

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accession-icon GSE31701
E130012A19Rik: Biomarker of Pluripotent Stem Cells
  • organism-icon Mus musculus
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Reverse engineering a mouse embryonic stem cell-specific transcriptional network reveals a new modulator of neuronal differentiation.

Sample Metadata Fields

Cell line

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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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