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accession-icon GSE110087
Gene expression profiles of primary samples of acute myeloid leukemia (AML)
  • organism-icon Homo sapiens
  • sample-icon 41 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

As part of a clinical trial of the MDM2 inhibitor DS-3032b, 41 primary tumor samples were obtained before treatment from 38 patients newly diagnosed with AML, or relapsed or refractory to standard induction chemotherapy

Publication Title

Predictive Gene Signatures Determine Tumor Sensitivity to MDM2 Inhibition.

Sample Metadata Fields

Specimen part, Disease, Disease stage

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accession-icon SRP160510
Transcription-dependent control of stem cell self-renewal and differentiation by the splicing factor U2AF1
  • organism-icon Homo sapiens
  • sample-icon 66 Downloadable Samples
  • Technology Badge Icon

Description

Purpose: Here we describe the modulation of a gene expression program involved in cell fate. Methods: We depleted U2AF1 in human induced pluripotent stem cells (hiPSCs) to the level found in differentiated cells using an inducible shRNA system, followed by high-throughput RNAseq, revealing a gene expression program involved in cell fate determination. Results: Approximately 85% of the total raw reads were mapped to the human genome sequence (GRCh37), giving an average of 200 million human reads per sample for total RNA and 15 million human reads per sample for small RNA libraries. Conclusions: Our results show that transcriptional control of gene expression in hiPSCs can be set by the CSF U2AF1, establishing a direct link between transcription and AS during cell fate determination. Overall design: hiPSCs were differentiated into the three germ layers following the described protocol in the study (Gifford et al., 2013).

Publication Title

The core spliceosomal factor U2AF1 controls cell-fate determination via the modulation of transcriptional networks.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE11770
TIS21/BTG2/PC3 and cyclin D1 are key determinants of nuclear diacylglycerol kinase-zeta-dependent cell cycle arrest
  • organism-icon Mus musculus
  • sample-icon 3 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430A 2.0 Array (mouse430a2)

Description

In addition to lipid second messengers derived from the plasma membrane, increasing evidence supports the existence of nuclear lipid-dependent signaling networks. Diacylglycerol is a key second messenger, generated at the nuclear level, which is metabolized by diacylglycerol kinases (DGKs). It has been demonstrated that nuclear DGK- negatively regulates cell cycle progression. The aim of this study was to identify key determinants of nuclear DGK--dependent cell cycle arrest in C2C12 mouse myoblasts. Using DNA microarrays, Real-Time RT-PCR and western blot, we demonstrated that nuclear DGK- downregulated the expression of cyclin D1 and increased the expression of TIS21/BTG2/PC3, a transcriptional regulator of cyclin D1 with a strong anti-proliferative function. Overexpression of TIS21/BTG2/PC3 blocked the cells in G1 phase of the cell cycle and decreased the levels of Ser807/811 phosphorylated retinoblastoma protein, similarly to overexpression of DGK-. Moreover, during myogenic differentiation of C2C12 cells, we showed an increase of TIS21/BTG2/PC3 expression and a decrease in cyclin D1 levels. siRNA downregulation of TIS21/BTG2/PC3 impaired myogenic differentiation by opposing cell cycle arrest. In summary, these data identify TIS21/BTG2/PC3 and cyclin D1 as downstream effectors of the nuclear DGK- and highlight the importance of this DGK isoform in the regulation of myoblast proliferation and differentiation.

Publication Title

TIS21/BTG2/PC3 and cyclin D1 are key determinants of nuclear diacylglycerol kinase-zeta-dependent cell cycle arrest.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP162020
Antiviral and anti-inflammatory properties of novel anti-HIV candidate ABX464 promotes specifics RNA splicing while preserving cellular RNA integrity.
  • organism-icon Homo sapiens
  • sample-icon 18 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

Purpose: To ensure that ABX464 acted specifically on HIV splicing and did not significantly or globally affect the splicing events of human genes, we used an assembly approach of HIV (YU2 strain) putative transcripts and human long non-coding sequences from paired-reads (2x75bp) captured on a NimbleGen SeqCap® EZ Developer Library (Roche/NimbleGen). Methods: Cells were infected with 80 ng of p24/106 cells of the YU-2 strain for 4 to 6 hours and then rinsed with PBS before medium renewal, followed by high-throughput RNAseq from custom SeqCap EZ capture libraries. Each raw dataset of the samples contained between 5 and 30 million paired-end reads (75 bp), with an average of approximately 12 million raw reads per sample. Results: The raw reads were then cleaned and assembled per library to generate contigs, giving an average of 930 contigs per sample for further analyses. Conclusions: Our results show that high-throughput analyses coupled with bioinformatics-specific tools offers a comprehensive and more accurate view of mRNA splicing within a cell. Overall design: We used buffy coats from HIV-negative individuals were obtained from the local blood donation center, then human peripheral blood mononuclear cells (PBMCs) were isolated by Ficoll (Histopaque, Sigma) gradient centrifugation. Cells were infected with 80 ng of p24/106 cells of the YU-2 strain for 4 to 6 hours and then rinsed with PBS before medium renewal.

Publication Title

Both anti-inflammatory and antiviral properties of novel drug candidate ABX464 are mediated by modulation of RNA splicing.

Sample Metadata Fields

Specimen part, Treatment, Subject

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accession-icon GSE29899
Long non-coding RNAs regulate adipogenesis
  • organism-icon Mus musculus
  • sample-icon 27 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430A 2.0 Array (mouse430a2)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Long noncoding RNAs regulate adipogenesis.

Sample Metadata Fields

Specimen part, Disease

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accession-icon GSE29897
Long non-coding RNAs regulate adipogenesis (Affymetrix)
  • organism-icon Mus musculus
  • sample-icon 11 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430A 2.0 Array (mouse430a2)

Description

Adipogenesis involves the regulation of hundreds of genes by several well-studied proteins, but the role of long, noncoding RNAs in this process has not been defined. We track the regulation of hundreds of lncRNAs during adipocyte differentiation, and find several that are essential for this process.

Publication Title

Long noncoding RNAs regulate adipogenesis.

Sample Metadata Fields

Specimen part, Disease

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accession-icon SRP007112
Long non-coding RNAs regulate adipogenesis (Illumina RNA-Seq)
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer

Description

Adipogenesis involves the regulation of hundreds of genes by several well-studied proteins, but the role of long, noncoding RNAs in this process has not been defined. We track the regulation of hundreds of lncRNAs during adipocyte differentiation, and find several that are essential for this process. Overall design: We extractedbrown and white primary adipocytes and pre-adipocytes and profiled lncRNA expresssion via mRNA-Seq. We also profiled cultured, differentiated adipocytes to verify that we could recapitulate the adipocyte expression profile in preparation for a loss-of-function screen for essential adipogenic lincRNAs.

Publication Title

Long noncoding RNAs regulate adipogenesis.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon GSE32609
Transcriptional profiling of liver samples from Lmna Gly609Gly knock-in mice
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Hutchinson-Gilford Progeria Syndrome (HGPS) is caused by a point mutation in the LMNA gene that activates a cryptic donor splice site and yields a truncated form of prelamin A called progerin. Small amounts of progerin are also produced during normal aging. Studies with mouse models of HGPS have allowed the recent development of the first therapeutic approaches for this disease. However, none of these earlier works have addressed the aberrant and pathogenic LMNA splicing observed in HGPS patients because of the lack of an appropriate mouse model. We report herein a genetically modified mouse strain that carries the HGPS mutation. These mice accumulate progerin, present histological and transcriptional alterations characteristic of progeroid models, and phenocopy the main clinical manifestations of human HGPS, including shortened life span and bone and cardiovascular aberrations. By using this animal model, we have developed an antisense morpholinobased therapy that prevents the pathogenic Lmna splicing, dramatically reducing the accumulation of progerin and its associated nuclear defects. Treatment of mutant mice with these morpholinos led to a marked amelioration of their progeroid phenotype and substantially extended their life span, supporting the effectiveness of antisense oligonucleotidebased therapies for treating human diseases of accelerated aging.

Publication Title

Splicing-directed therapy in a new mouse model of human accelerated aging.

Sample Metadata Fields

Sex, Age, Specimen part

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accession-icon GSE53633
Platelet-derived growth factor alpha mediates the proliferation of peripheral T-cell lymphoma cells via an autocrine regulatory pathway
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Identification of the determinants of PDGFRA activity in PTCL/NOS (Peripheral T-cell lymphoma/not otherwise specified) and to elucidate the biological consequences of its activation.

Publication Title

Platelet-derived growth factor alpha mediates the proliferation of peripheral T-cell lymphoma cells via an autocrine regulatory pathway.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon SRP136698
A CLK3-HMGA2 alternative splicing axis impacts human hematopoietic stem cell molecular identity throughout development (HPC-5F RNAseq)
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

While gene expression dynamics have been extensively catalogued during hematopoietic differentiation in the adult, less is known about transcriptome diversity of human hematopoietic stem cells (HSCs) during development. To characterize transcriptional and post-transcriptional changes in HSCs during development, we leveraged high-throughput genomic approaches to profile miRNAs, lincRNAs, and mRNAs. Our findings indicate that HSCs manifest distinct alternative splicing patterns in key hematopoietic regulators. Detailed analysis of the splicing dynamics and function of one such regulator, HMGA2, identified an alternative isoform that escapes miRNA-mediated targeting. We further identified the splicing kinase CLK3 that, by regulating HMGA2 splicing, preserves HMGA2 function in the setting of an increase in let-7 miRNA levels, delineating how CLK3 and HMGA2 form a functional axis that influences HSC properties during development. Collectively, our study highlights molecular mechanisms by which alternative splicing and miRNA-mediated post-transcriptional regulation impact the molecular identity and stage-specific developmental features of human HSCs. Overall design: RNA-seq of HPC-5F cells transduced with a control (CTRL), HMGA2-L (LONG), HMGA2-S (SHORT) or CLK3 ORF lentiviral over-expression vectors.

Publication Title

A CLK3-HMGA2 Alternative Splicing Axis Impacts Human Hematopoietic Stem Cell Molecular Identity throughout Development.

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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