refine.bio
  • Search
      • Normalized Compendia
      • RNA-seq Sample Compendia
  • Docs
  • About
  • My Dataset
github link
Showing
of 1433 results
Sort by

Filters

Technology

Platform

accession-icon GSE8159
A gene expression fingerprint of C. elegans embryonic motor neurons.
  • organism-icon Caenorhabditis elegans
  • sample-icon 7 Downloadable Samples
  • Technology Badge Icon Affymetrix C. elegans Genome Array (celegans)

Description

Background: Differential gene expression specifies the highly diverse cell types that constitute the nervous system. With its sequenced genome and simple, well-defined neuroanatomy, the nematode C. elegans is a useful model system in which to correlate gene expression with neuron identity. The UNC-4 transcription factor is expressed in thirteen embryonic motor neurons where it specifies axonal morphology and synaptic function. These cells can be marked with an unc-4::GFP reporter transgene. Here we describe a powerful strategy, Micro-Array Profiling of C. elegans cells (MAPCeL), and confirm that this approach provides a comprehensive gene expression profile of unc-4::GFP motor neurons in vivo. Results: Fluorescence Activated Cell Sorting (FACS) was used to isolate unc-4::GFP neurons from primary cultures of C. elegans embryonic cells. Microarray experiments detected 6,217 unique transcripts of which ~1,000 are enriched in unc-4::GFP neurons relative to the average nematode embryonic cell. The reliability of these data was validated by the detection of known cell-specific transcripts and by expression in UNC-4 motor neurons of GFP reporters derived from the enriched data set. In addition to genes involved in neurotransmitter packaging and release, the microarray data include transcripts for receptors to a remarkably wide variety of signaling molecules. The added presence of a robust array of G-protein pathway components is indicative of complex and highly integrated mechanisms for modulating motor neuron activity. Over half of the enriched genes (537) have human homologs, a finding that could reflect substantial overlap with the gene expression repertoire of mammalian motor neurons.

Publication Title

A gene expression fingerprint of C. elegans embryonic motor neurons.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE20915
Bortezomib resistance in Mantle Cell Lymphoma (MCL) is associated with plasmacytic differentiation
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Bortezomib-induced resistant MCL cell lines (HBL2 BR and JEKO BR) were generated by continuous cultured of corresponding parental cell lines (HBL2 PT and JEKO PT) with increasing bortezomib concentrations

Publication Title

Bortezomib resistance in mantle cell lymphoma is associated with plasmacytic differentiation.

Sample Metadata Fields

Specimen part, Cell line

View Samples
accession-icon SRP131524
Synergy from Gene Expression and Network Mining (SynGeNet) method predicts genotype-specific synergistic drug combinations in melanoma
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 4000

Description

Using our computational method SynGeNet to evaluate genomic and transcriptomic data characterizing four major genomic subtypes of melanoma, we selected the top ranked drug combination for BRAF-mutation melanoma for subsequent validaiton. Here we present drug-induced gene expression data from the BRAF-mutant A375 melanoma cell line in response to four treatment conditions: vehicle control (DMSO), vemurafenib alone, tretinoin (ATRA) alone and vemurafenib+tretinoin combination. Overall design: Gene expression profiles of A375 melanoma cells were generated by RNAseq (Illumina HiSeq 4000) under the following treatment conditions: vehicle control (DMSO), vemurafenib, tretinoin and vemurafenib + tretinoin combination.

Publication Title

Synergy from gene expression and network mining (SynGeNet) method predicts synergistic drug combinations for diverse melanoma genomic subtypes.

Sample Metadata Fields

Specimen part, Subject

View Samples
accession-icon GSE32467
Expression data from wildtype and unc-37 mutant A-class motor neurons in C. elegans
  • organism-icon Caenorhabditis elegans
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix C. elegans Genome Array (celegans)

Description

In Caenorhabditis elegans, VA and VB motor neurons arise as lineal sisters but synapse with different interneurons to regulate locomotion. VA-specific inputs are defined by the UNC-4 homeoprotein and its transcriptional corepressor, UNC-37/Groucho, which function in the VAs to block the creation of chemical synapses and gap junctions with interneurons normally reserved for VBs. To reveal downstream genes that control this choice, we have employed a cell-specific microarray strategy that has now identified unc-4-regulated transcripts. One of these genes, ceh-12, a member of the HB9 family of homeoproteins, is normally restricted to VBs. We show that expression of CEH-12/HB9 in VA motor neurons in unc-4 mutants imposes VB-type inputs. Thus, this work reveals a developmental switch in which motor neuron input is defined by differential expression of transcription factors that select alternative presynaptic partners. The conservation of UNC-4, HB9, and Groucho expression in the vertebrate motor circuit argues that similar mechanisms may regulate synaptic specificity in the spinal cord.

Publication Title

UNC-4 represses CEH-12/HB9 to specify synaptic inputs to VA motor neurons in C. elegans.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE22529
Gene expression profiles in CLL
  • organism-icon Homo sapiens
  • sample-icon 104 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Evaluation of differential expression between CLL patients in a chemoimmunotherapy trial with age-matched controls

Publication Title

LEF-1 is a prosurvival factor in chronic lymphocytic leukemia and is expressed in the preleukemic state of monoclonal B-cell lymphocytosis.

Sample Metadata Fields

Specimen part, Disease, Disease stage

View Samples
accession-icon GSE41789
Senescence gene signature of radiation fibrosis
  • organism-icon Mus musculus
  • sample-icon 44 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Radiation lung injury is characterized by early inflammation and late fibrosis. The causes underlying the chronic, progressive nature of radiation injury are poorly understood. Here, we report that the gene expression of irradiated lung tissue correlates with that observed in the lungs in aged animals. We demonstrate that NOX4 expression and superoxide elaboration is increased in irradiated lungs and pneumocytes in a dose dependent fashion.

Publication Title

Role of type II pneumocyte senescence in radiation-induced lung fibrosis.

Sample Metadata Fields

Sex, Age, Specimen part, Treatment, Time

View Samples
accession-icon SRP174924
Proteasome inhibitor-induced modulation reveals the spliceosome as a specific therapeutic vulnerability in multiple myeloma
  • organism-icon Homo sapiens
  • sample-icon 36 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 4000, Illumina HiSeq 2000

Description

Resistance to proteasome inhibitors (PIs) is a ubiquitous clinical concern in multiple myeloma (MM). We proposed that signaling-level responses after PI would reveal new means to enhance efficacy. Unbiased phosphoproteomics after the PI carfilzomib surprisingly demonstrated the most prominent phosphorylation changes on spliceosome components. Spliceosome modulation was invisible to RNA or protein abundance alone. Transcriptome analysis demonstrated broad-scale intron retention suggestive of PI-specific splicing interference. Direct spliceosome inhibition synergized with carfilzomib and showed potent anti-myeloma activity. Functional genomics and exome sequencing further supported the spliceosome as a specific vulnerabilityin myeloma. Our results propose splicing interference as an unrecognized modality of PI mechanism, reveal additional modes of spliceosome modulation, and suggest spliceosome targeting as a promising therapeutic strategy in myeloma. Overall design: We examine 1) gene expression of MM cells in response to PI and 2)alternative splicing in response to PI and comparator chemotherapeutic compound. We further investigate splice factor mechanism in MM cells, by examining alternative splicing in MM with overexpression of wild type and mutant splice factor, SRSF1

Publication Title

Proteasome inhibitor-induced modulation reveals the spliceosome as a specific therapeutic vulnerability in multiple myeloma.

Sample Metadata Fields

Cell line, Subject, Compound, Time

View Samples
accession-icon GSE107297
Bone density loci identified by genome-wide association studies segregate a lineage-specific PU.1-dependent gene regulatory network in osteoclasts
  • organism-icon Mus musculus, Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Enhancer variants reveal a conserved transcription factor network governed by PU.1 during osteoclast differentiation.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE107295
Bone density loci identified by genome-wide association studies segregate a lineage-specific PU.1-dependent gene regulatory network in osteoclasts [HsMmMicroarray]
  • organism-icon Mus musculus, Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Similar temporal expression kinetics of transcription factors in human and mouse osteoclast differentiation evaluated by microarray

Publication Title

Enhancer variants reveal a conserved transcription factor network governed by PU.1 during osteoclast differentiation.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE70563
IRE1alpha is an endogenous substrate of endoplasmic reticulum-associated degradation
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Endoplasmic reticulum-associated degradation (ERAD) represents a principle quality control (QC) mechanism to clear misfolded proteins in the ER; however, its physiological significance and the nature of endogenous ERAD substrates remain largely unknown. Here we discover that IRE1alpha, the sensor of unfolded protein response (UPR), is a bona fide substrate of the Sel1L-Hrd1 ERAD complex. Mechanistically, ERAD-mediated IRE1alpha degradation occurs in a Bip-dependent manner under basal conditions and is attenuated in response to ER stress. Both intramembrane hydrophilic residues of IRE1alpha and lectin protein OS9 are required for IRE1alpha degradation. ERAD deficiency causes IRE1alpha protein stabilization, accumulation and mild activation both in vitro and in vivo, leading to cellular hypersensitivity to ER stress and inflammation. Furthermore, though enterocyte-specific Sel1L-knockout mice (Sel1LIEC) are viable and appear normal, they are more susceptible to experimental colitis in an IRE1alpha-dependent but CHOP-independent manner. Collectively, these results demonstrate that Sel1L-Hrd1 ERAD serves a distinct, essential function in restraint of IRE1alpha signaling in vivo by managing its protein turnover.

Publication Title

IRE1α is an endogenous substrate of endoplasmic-reticulum-associated degradation.

Sample Metadata Fields

Sex, Age, Specimen part

View Samples
...

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)

fund-icon Fund the CCDL

Developed by the Childhood Cancer Data Lab

Powered by Alex's Lemonade Stand Foundation

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.

BSD 3-Clause LicensePrivacyTerms of UseContact