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accession-icon SRP059959
Long non-coding RNAs display higher natural expression variation than protein-coding genes in healthy humans
  • organism-icon Homo sapiens
  • sample-icon 57 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Background: Long non-coding RNAs (lncRNAs) are increasingly implicated as gene regulators and may ultimately be more numerous than protein-coding genes in the human genome. Despite large numbers of reported lncRNAs, reference annotations are likely incomplete due to their lower and tighter tissue-specific expression compared to mRNAs. An unexplored factor potentially confounding lncRNA identification is inter-individual expression variability. Here, we characterize lncRNA natural expression variability in human primary granulocytes. Results: We annotate granulocyte lncRNAs and mRNAs in RNA-seq data from ten healthy individuals, identifying multiple lncRNAs absent from reference annotations, and use this to investigate three known features (higher tissue-specificity, lower expression, and reduced splicing efficiency) of lncRNAs relative to mRNAs. Expression variability was examined in seven individuals sampled three times at one or more than one month intervals. We show that lncRNAs display significantly more inter-individual expression variability compared to mRNAs. We confirm this finding in 2 independent human datasets by analyzing multiple tissues from the GTEx project and lymphoblastoid cell lines from the GEUVADIS project. Using the latter dataset we also show that including more human donors into the transcriptome annotation pipeline allows identification of an increasing number of lncRNAs, but minimally affects mRNA gene number. Conclusions: A comprehensive annotation of lncRNAs is known to require an approach that is sensitive to low and tight tissue-specific expression. Here we show that increased inter-individual expression variability is an additional general lncRNA feature to consider when creating a comprehensive annotation of human lncRNAs or proposing their use as prognostic or disease markers. Overall design: We used PolyA+ RNA-seq data from human primary granulocytes of 10 healthy individuals to de novo annotate lncRNAs and mRNAs in this cell type and ribosomal depleted (total) RNA-seq data from seven of these individuals sampled three times to analyze lncRNA amd mRNA expression variability

Publication Title

Long non-coding RNAs display higher natural expression variation than protein-coding genes in healthy humans.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE29655
Oncostatin M effects in IMR90 cells
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

The JAK2 mutation V617F is detectable in a majority of patients with Ph-negative myeloproliferative neoplasms (MPN). Enforced expression of JAK2 V617F in mice induces myeloproliferation and bone marrow (BM) fibrosis suggesting a causal role for the JAK2 mutant in the pathogenesis of MPN. However, little is known about mechanisms and effector molecules contributing to JAK2 V617F-induced myeloproliferation and fibrosis. Here we show that JAK2 V617F promotes expression of oncostatin M (OSM) in neoplastic myeloid cells. Correspondingly, OSM was found to be overexpressed in the BM and elevated in the serum of patients with JAK2 V617F+ MPN. In addition, OSM secreted by JAK2 V617F+ cells stimulated growth of fibroblasts and microvascular endothelial cells and induced the production of angiogenic and profibrogenic cytokines (HGF, VEGF, and SDF-1) in BM fibroblasts. All effects of MPN cell-derived OSM were blocked by a neutralizing anti-OSM antibody, whereas the production of OSM in MPN cells was effectively suppressed by a pharmacologic JAK2 inhibitor or RNAi-mediated knockdown of JAK2. In summary, JAK2 V617F-mediated upregulation of OSM may contribute to fibrosis, neoangiogenesis, and the cytokine storm observed in JAK2 V617F+ MPN, suggesting that OSM could serve as a novel therapeutic target molecule in these neoplasms.

Publication Title

Identification of oncostatin M as a JAK2 V617F-dependent amplifier of cytokine production and bone marrow remodeling in myeloproliferative neoplasms.

Sample Metadata Fields

Cell line, Treatment

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accession-icon SRP075923
Next Generation Sequencing of long-term hematopoietic cells (LT-HSCs) with or without mutations in JAK2 and Ezh2
  • organism-icon Mus musculus
  • sample-icon 112 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Comparison of mRNA expression profiles of LT-HSCs with or without mutations in JAK2 and Ezh2 by RNA sequencing. LT-HSC mRNA was extracted from six different transgenic mice (SclCre, SclCre;Ezh2+/-, SclCre;Ezh2-/-, SclCre; JAK2V617F, SclCre; JAK2V617F;Ezh2+/-, SclCre; JAK2V617F;Ezh2-/-) 10 weeks after tamoxifen injection. Our study represents the first detailed analysis of mRNA expression profile of LT-HSC with or without mutations in JAK2 and Ezh2 , with biologic replicates, generated by RNA-seq technology. Our results revealed that mRNA expression profile of LT-HSC with different genotype showed specific gene expression patterns, which allows to do biological comprehensive and quantitative analysis for hematopoiesis. Overall design: LT-HSCs mRNA profiles six different transgenic mice (SclCre, SclCre;Ezh2+/-, SclCre;Ezh2-/-, SclCre; JAK2V617F, SclCre; JAK2V617F;Ezh2+/-, SclCre; JAK2V617F;Ezh2-/-) were generated by deep sequencing.

Publication Title

Loss of Ezh2 synergizes with JAK2-V617F in initiating myeloproliferative neoplasms and promoting myelofibrosis.

Sample Metadata Fields

Sex, Subject

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accession-icon SRP075921
Next Generation Sequencing of megakaryocyte-erythrocyte progenitor cells (MEPs) with or without mutations in JAK2 and Ezh2
  • organism-icon Mus musculus
  • sample-icon 28 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

Comparison of mRNA expression profiles of MEPs with or without mutations in JAK2 and Ezh2 by RNA sequencing. MEPs mRNA was extracted from six different transgenic mice (SclCre, SclCre;Ezh2+/-, SclCre;Ezh2-/-, SclCre; JAK2V617F, SclCre; JAK2V617F;Ezh2+/-, SclCre; JAK2V617F;Ezh2-/-) 10 weeks after tamoxifen injection. Our study represents the first detailed analysis of mRNA expression profile of MEP with or without mutations in JAK2 and Ezh2 , with biologic replicates, generated by RNA-seq technology. Our results revealed that mRNA expression profile of MEP with different genotype showed specific gene expression patterns, which allows to do biological comprehensive and quantitative analysis for hematopoiesis. Overall design: MEPs mRNA profiles six different transgenic mice (SclCre, SclCre;Ezh2+/-, SclCre;Ezh2-/-, SclCre; JAK2V617F, SclCre; JAK2V617F;Ezh2+/-, SclCre; JAK2V617F;Ezh2-/-) were generated by deep sequencing.

Publication Title

Loss of Ezh2 synergizes with JAK2-V617F in initiating myeloproliferative neoplasms and promoting myelofibrosis.

Sample Metadata Fields

Sex, Subject

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accession-icon SRP062722
Mapping Replication Stress-Dependent Transcriptional Events Dependent on ATM or ATMIN by RNA-seq
  • organism-icon Mus musculus
  • sample-icon 32 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

The cellular response to replication stress requires the DNA-damage responsive kinase ATM and its co-factor ATMIN, however the roles of this signaling pathway following replication stress are unclear. RNA-seq and subsequent differential expression analyses were utilized to identify the functions of ATM and ATMIN in response to replication stress induced by Aphidcolin (APH). Overall design: Mouse Embryonic Fibroblasts (MEFs) deleted for ATM or ATMIN were treated with 1µM APH or DMSO as a control. Two different wild-type MEF cell lines (wtATM, wtATMIN) served as controls. RNA-seq was performed in duplicates, in a total of 32 samples, with an average of 31.1M aligned readsobtained per group,with 15.5M reads obtained per replicate.

Publication Title

A Comprehensive Analysis of the Dynamic Response to Aphidicolin-Mediated Replication Stress Uncovers Targets for ATM and ATMIN.

Sample Metadata Fields

Specimen part, Treatment, Subject

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accession-icon SRP047459
NOTCH1 activation in breast cancer confers sensitivity to inhibition of SUMOylation
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

Breast cancer is genetically heterogeneous, and recent studies have underlined a prominent contribution of epigenetics to the development of this disease. To uncover new synthetic lethalities with known breast cancer oncogenes, we screened an epigenome-focused short hairpin RNA library on a panel of engineered breast epithelial cell lines. Here we report a selective interaction between the NOTCH1 signaling pathway and the SUMOylation cascade. Knockdown of the E2-conjugating enzyme UBC9 (UBE2I) as well as inhibition of the E1-activating complex SAE1/UBA2 using ginkgolic acid impairs the growth of NOTCH1-activated breast epithelial cells. We show that upon inhibition of SUMOylation NOTCH1-activated cells proceed slower through the cell cycle and ultimately enter apoptosis. Mechanistically, activation of NOTCH1 signaling depletes the pool of unconjugated small ubiquitin-like modifier 1 (SUMO1) and SUMO2/3 leading to increased sensitivity to perturbation of the SUMOylation cascade. Depletion of unconjugated SUMO correlates with sensitivity to inhibition of SUMOylation also in patient-derived breast cancer cell lines with constitutive NOTCH pathway activation. Our investigation suggests that SUMOylation cascade inhibitors should be further explored as targeted treatment for NOTCH-driven breast cancer. Overall design: We treated MCF10A and NOTCH1 cells with either DMSO or ginkgolic acid 30 uM for 3 days. Two replicates have been analysed for each condition.

Publication Title

NOTCH1 activation in breast cancer confers sensitivity to inhibition of SUMOylation.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP172692
RNA-seq data from VavCre;Jak2+/+; Cdk6+/+, VavCre;Jak2V617F; Cdk6+/+, VavCre;Jak2V617F; Cdk6-/-, VavCre; Jak2+/+; Cdk6-/- murine bone marrow LSK cells and VavCre; Jak2V617F; Cdk6+/+ Palbociclib treated murine bone marrow LSK cells
  • organism-icon Mus musculus
  • sample-icon 15 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 4000

Description

We describe a critical role for Cdk6 in JAK2V617F+ MPN evolution. The absence of Cdk6 ameliorates clinical symptoms and prolongs survival of JAK2V617F fl/+ vav-Cre mice. The Cdk6 protein interferes with three hallmarks of disease: besides regulating malignant stem cell quiescence, it promotes NFkB signaling and contributes to cytokine production while inhibiting apoptosis. The treatment with palbociclib did not mirror these effects, showing that the functions of Cdk6 in MPN pathogenesis are largely kinase-independent. Overall design: LSK-sorted (FACS) bone marrow cells from 8-week-old VavCre;Jak2+/+; Cdk6+/+, VavCre;Jak2V617F; Cdk6+/+, VavCre;Jak2V617F; Cdk6-/-, VavCre; Jak2+/+; Cdk6-/- mice, and the same cell type from palbociclib-treated (38mg/kg, 3x in one week) VavCre;Jak2V617F; Cdk6+/+ mice, n=3 for all genotypes

Publication Title

CDK6 coordinates <i>JAK2</i> <sup><i>V617F</i></sup> mutant MPN via NF-κB and apoptotic networks.

Sample Metadata Fields

Specimen part, Treatment, Subject

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accession-icon GSE51378
Expression data from wild type (WT) and TREM2 null alveolar macrophages (AM)
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

TREM-2 has been described to be a phagocytic receptor. We assessed the influence of TREM-2 on gene expression in alveolar macrophages (AM)

Publication Title

The triggering receptor expressed on myeloid cells 2 inhibits complement component 1q effector mechanisms and exerts detrimental effects during pneumococcal pneumonia.

Sample Metadata Fields

Specimen part

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accession-icon GSE64536
STAT3 knockdown during transformation
  • organism-icon Homo sapiens
  • sample-icon 22 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

siSTAT3 knockdown of a tamoxifen initiated, transformation inducible, breast cancer model system (MCF10A-ER-Src), with associated controls of EtOH and siNEG treatments.

Publication Title

STAT3 acts through pre-existing nucleosome-depleted regions bound by FOS during an epigenetic switch linking inflammation to cancer.

Sample Metadata Fields

Cell line, Treatment

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accession-icon GSE147231
Identification of human cytotoxic ILC3s
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Clariom S Pico Assay HT (clariomshumanht)

Description

Human ILCs are classically categorized into five subsets; cytotoxic CD127-CD94+ NK cells and non-cytotoxic CD127+CD94-, ILC1s, ILC2s, ILC3s and LTi cells. Here, we identify a novel subset within the CD127+ ILC population, characterized by the expression of the cytotoxic marker CD94. These CD94+ ILCs strongly resemble conventional ILC3s in terms of phenotype, transcriptome and cytokine production, but are highly cytotoxic. IL-15 was unable to induce differentiation of CD94+ ILCs towards mature NK cells. Instead, CD94+ ILCs retained RORγt, CD127 and CD200R expression and produced IL-22 in response to IL-15. Culturing non-cytotoxic CD127+ ILC1s or ILC3s with IL-12 induced upregulation of CD94 and cytotoxic activity, effects that were not observed with IL-15 stimulation. Thus, human helper ILCs can acquire a cytotoxic program without differentiating into NK cells.

Publication Title

Identification of human cytotoxic ILC3s.

Sample Metadata Fields

Specimen part, 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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