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accession-icon GSE43830
Long Noncoding RNA MALAT1 Controls Cell Cycle Progression by Regulating the Expression of Oncogenic Transcription Factor B-MYB
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [probe set (exon) version (huex10st)

Description

Transcriptome analysis of control and MALAT1 lncRNA-depleted RNA samples from human diploid lung fibroblasts [WI38]

Publication Title

Long noncoding RNA MALAT1 controls cell cycle progression by regulating the expression of oncogenic transcription factor B-MYB.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE108280
lnc-Mir100HG promotes cell proliferation by modulating the interation between HuR and its target mRNAs
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

Long non-coding RNAs (lncRNAs) regulate vital biological processes, including cell proliferation, differentiation and development. A subclass of lncRNAs is synthesized from microRNA host genes (MIRHGs) due to pre-miRNA processing, and is categorized as miRNA-host gene lncRNAs (lnc-miRHGs). Presently, it is not clear whether lnc-miRHG perform additional functions. We demonstrate a miRNA-independent role for a nuclear-enriched lnc-miRHG in cell cycle progression. MIR100HG produces spliced and stable lncRNAs (lnc-MIR100HG) that display elevated levels during the G1 phase of the cell cycle. Depletion of lnc-MIR100HG in human cells results in aberrant cell cycle progression with out altering the levels of miRNA encoded within MIR100HG. Notably, lnc-MIR100HG interacts with the HuR/Elav as well as with several of HuR-target mRNAs. Further, lnc-MIR100HG-depleted cells show reduced interaction between HuR and its target mRNAs, indicating that lnc-MIR100HG facilitates interaction between HuR and target mRNAs. Our studies have unearthed novel roles played by miRHG-encoded lncRNAs in regulating RNA binding protein activity, thereby underscoring the importance of determining the function of several hundreds of miRHG lncRNAs that are present in human genome.

Publication Title

MIR100 host gene-encoded lncRNAs regulate cell cycle by modulating the interaction between HuR and its target mRNAs.

Sample Metadata Fields

Cell line, Treatment

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accession-icon SRP125458
Differentially expressed genes in the fly brain under condtions of sugar and complete starvation
  • organism-icon Drosophila melanogaster
  • sample-icon 24 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

In order to study the transcriptional response of the fly brain to sugar and complete starvation, we first confirmed that 24 hours of sugar and complete starvation in flies is sufficient to elicit a homeostatic response. Subsequently, we used holidic medium to study effects of deficiency of a specfic macronutrient- cabohydrate in the food. To do so , we generated RNA- seq libraries from brains of 5 day old mated adult male flies maintained on different feeding regimes and used the sequencing data to identify diffrentially expressed genes in the brain under different feeding regimes. Overall design: For each condition, we used RNA prepared from 120-130 manually dissected adult fly brains maintained under complete starvation or sugar starvation regime for 24 hours.

Publication Title

Sugar Promotes Feeding in Flies via the Serine Protease Homolog scarface.

Sample Metadata Fields

Sex, Specimen part, Cell line, Subject

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accession-icon SRP034698
Characterization of the Merkel cell carcinoma miRNome
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

MicroRNAs have been implicated in various skin cancers, including melanoma, squamous cell carcinoma, and basal cell carcinoma; however, the expression of microRNAs and their role in Merkel cell carcinoma (MCC) have yet to be explored in depth. To identify microRNAs specific to MCC (MCC-miRs), next-generation sequencing (NGS) of small RNA libraries was performed on different tissue samples including MCCs, other cutaneous tumors, and normal skin. Comparison of the profiles identified several microRNAs upregulated and downregulated in MCC. For validation, their expression was measured via qRT-PCR in a larger group of MCC and in a comparison group of non-MCC cutaneous tumors and normal skin. Eight microRNAs were upregulated in MCC: miR-502-3p, miR-9, miR-7, miR-340, miR-182, miR-190b, miR-873, and miR-183. Three microRNAs were downregulated: miR-3170, miR-125b, and miR-374c. Many of these MCC-miRs, with the miR-183/182/96a cistron in particular, have connections to tumorigenic pathways implicated in MCC pathogenesis. In situ hybridization confirmed that the highly expressed MCC-miR, miR-182, is localized within tumor cells. Furthermore, NGS and qRT-PCR reveals that several of these MCC-miRs are highly expressed in the patient-derived MCC cell line, MS-1. These data indicate that we have identified a set of MCC-miRs with high implications for MCC research. Overall design: To identify microRNAs specific to Merkel cell carcinoma (MCC) next-generation sequencing (NGS) of small RNA libraries was performed on different tissue samples including MCCs, other cutaneous tumors, and normal skin

Publication Title

Characterization of the Merkel Cell Carcinoma miRNome.

Sample Metadata Fields

No sample metadata fields

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accession-icon E-MTAB-6853
Gene expression profile of microdissected mucinous cystic neoplasms of the pancreas
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Gene expression profile of laser-capture microdissected epithelium component of 6 mucinous cystic neoplasms of the pancreas were included in the study. The expression arrays were generated with Affymetrix HU133A gene chips (18,462 genes/EST transcripts).

Publication Title

Characterization of gene expression in mucinous cystic neoplasms of the pancreas using oligonucleotide microarrays.

Sample Metadata Fields

Sex, Specimen part, Disease, Subject

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accession-icon GSE37707
Effects of the long noncoding RNA Malat1 on gene expression
  • organism-icon Mus musculus
  • sample-icon 2 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

Malat1 is not an essential component of nuclear speckles in mice.

Sample Metadata Fields

Age, Specimen part

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accession-icon GSE37705
Effects of the long noncoding RNA Malat1 on gene expression [Mouse430_2]
  • organism-icon Mus musculus
  • sample-icon 2 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Malat1 is an abundant long noncoding RNA that localizes to nuclear bodies known as nuclear speckles, which contain a distinct set of pre-mRNA processing factors. Previous in vitro studies have demonstrated that Malat1 interacts with pre-mRNA splicing factors, including the serine- and arginine-rich (SR) family of proteins, and regulates a variety of biological processes, including cancer cell migration, synapse formation, cell cycle progression, and responses to serum stimulation. To address the physiological function of Malat1 in a living organism, we generated Malat1-KO (KO) mice using homologous recombination. Unexpectedly, the Malat1-KO mice were viable and fertile, showing no apparent phenotypes. Nuclear speckle markers were also correctly localized in cells that lacked Malat1. However, the cellular levels of another long noncoding RNA, Neat1, which is an architectural component of nuclear bodies known as paraspeckles, were downregulated in a particular set of tissues and cells lacking Malat1.

Publication Title

Malat1 is not an essential component of nuclear speckles in mice.

Sample Metadata Fields

Specimen part

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accession-icon GSE89923
Effects of smoke and smokeless tobacco products on gene expression and cellular pathways in oral cavity cells
  • organism-icon Homo sapiens
  • sample-icon 88 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Tobacco exposure has been established to be a major risk factor for developing oral squamous cell carcinoma (OSCC). The purpose of this study is to identify potential biomarkers to distinguish the biological effectsof combustible tobacco products from that of non-combustible tobacco products using normal human gingival epithelial cells (HGEC), non-metastatic (101A) and metastatic (101B) OSCC cell lines.

Publication Title

AKR1C1 as a Biomarker for Differentiating the Biological Effects of Combustible from Non-Combustible Tobacco Products.

Sample Metadata Fields

Cell line

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accession-icon GSE56612
Genetic deletion or pharmacologic blockade of the amino acid transporter Slc6a14 in mice suppresses breast cancer induced by Polyoma middle T oncogene
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.0 ST Array (mogene20st)

Description

Tumor cells have an increased need for amino acids. Mammalian cells cannot synthesize essential amino acids; they must obtain these amino acids via specific transporters. Glutamine, though a non-essential amino acid, is critical for tumor cells (glutamine addiction). Entry of amino acids into tumor cells is enhanced by upregulation of specific transporters. If the transporters that are specifically induced in tumor cells are identified, blockade of the induced transporters would constitute a logical strategy for cancer treatment.

Publication Title

Deletion of the amino acid transporter Slc6a14 suppresses tumour growth in spontaneous mouse models of breast cancer.

Sample Metadata Fields

Age, Specimen part

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accession-icon SRP102963
Identify novel muscle fusogenic factors for reconstitution of plasma membrane fusion in non-fusogenic cells
  • organism-icon Mus musculus
  • sample-icon 1 Downloadable Sample
  • Technology Badge IconIllumina HiSeq 2000

Description

Overall goal: To identify genes that will cause non-fusogenic fibroblasts to become fusogenic. Purpose of analysis: To generate transcriptional profile of non-fusogenic fibroblasts, using 10T1/2 fibroblasts transduced with empty retrovirus as model. Experimental structure: The profile generated from the RNAseq analysis would be compared with transcriptional profile of MyoD-expressing fibroblasts (GEO DataSet GSE34907) to identify genes regulating fusion in muscle cells. Overall design: RNAseq analysis of total RNA from 10T1/2 fibroblasts transduced with retrovirus carrying empty pBabe-X retroviral vector was carried out to generate a transcriptional profile of a model of non-fusogenic fibroblasts.

Publication Title

Myomerger induces fusion of non-fusogenic cells and is required for skeletal muscle development.

Sample Metadata Fields

Specimen part, Cell line, 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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