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accession-icon GSE71922
Loss of the proteostasis modulator AIRAPL causes myeloid transformation by deregulating IGF-1 signaling
  • organism-icon Homo sapiens
  • sample-icon 2 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 2.0 ST Array (hugene20st)

Description

Transcriptional profiling of human acute myeloid leukemia cells lines HEL and SET2 transduced with an IGF1R shRNA and miR-125a sponge.

Publication Title

Loss of the proteostasis factor AIRAPL causes myeloid transformation by deregulating IGF-1 signaling.

Sample Metadata Fields

Specimen part, Cell line, Treatment

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accession-icon SRP057713
RNA sequencing of C. elegans lsm-1(tm3585) mutants at L3 stage
  • organism-icon Caenorhabditis elegans
  • sample-icon 2 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer IIx

Description

Transcriptome analysis of a population of wild type animals and lsm-1 mutants at L3 stage Overall design: lsm-1(tm3585) mutants were backcrossed three times with wild type N2 animals. lsm-1 mutants and N2 animals were grown for 26 hours at 25C from a synchronized L1 population.

Publication Title

Cytoplasmic LSM-1 protein regulates stress responses through the insulin/IGF-1 signaling pathway in Caenorhabditis elegans.

Sample Metadata Fields

Subject

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accession-icon GSE21862
Gene expression on 144 arrays representing 125 workers exposed to a range of benzene exposures
  • organism-icon Homo sapiens
  • sample-icon 144 Downloadable Samples
  • Technology Badge IconIllumina humanRef-8 v2.0 expression beadchip

Description

Human toxicogenomic studies to date have been of limited size, have mainly addressed exposures at the upper end of typical ranges of human exposure, and have often lacked precise, individual estimates of exposure. Previously, we identified genes associated with exposure to high (>10 ppm) levels of the leukemogen, benzene, through transcriptomic analyses of blood cells from small numbers of occupationally exposed workers. Here, we have expanded the study to 125 workers exposed to a wide range of benzene levels, including <1 ppm. Study design, and analysis with a mixed effects model, removed sources of biological and experimental variability and revealed highly significant widespread perturbation of gene expression at all exposure levels. Benzene is an established cause of acute myeloid leukemia (AML), and may cause one or more lymphoid malignancies in humans. Interestingly, acute myeloid leukemia was among the most significant pathways impacted by benzene exposure in the present study. Further, at most exposure levels, immune response pathways including T cell receptor signaling, B cell receptor signaling, and Toll like receptor signaling were impacted, providing support for the biological plausibility of an association between lymphoma and benzene exposure. We also identified a 16-gene expression signature modified by all levels of benzene exposure, comprising genes with roles in immune response, inflammatory response, cell adhesion, cell-matrix adhesion, and blood coagulation. Overall, these findings support, and expand upon, our current understanding of the mechanisms by which benzene may induce hematotoxicity, leukemia and lymphoma. Furthermore, this study shows that with good study design and analysis, transcriptome profiling of the blood of chemically-exposed humans can identify relevant biomarkers across a range of exposures and inform about potential associations with disease risks.

Publication Title

Global gene expression profiling of a population exposed to a range of benzene levels.

Sample Metadata Fields

Sex, Age, Subject

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accession-icon GSE32169
Gene expression profile of phagocyticially challenged human trabecular meshwork cells under physiolgical and oxidative stress conditions
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

In theses experimetns we have analized the differential gene expression profile in human trabecular meshwork cells phagocytically challenged to E. coli and pigment under physiological and oxidative stress conditions using affymetrix microarrays

Publication Title

Up-regulated expression of extracellular matrix remodeling genes in phagocytically challenged trabecular meshwork cells.

Sample Metadata Fields

Specimen part

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accession-icon GSE6904
Expression data from mouse SCN after 30-min light pulse
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430A 2.0 Array (mouse430a2)

Description

The transmission of information about the photic environment to the circadian clock involves a complex array of neurotransmitters, receptors, and second messenger systems. Using laser capture microscopy and microarray analysis, a population of genes rapidly induced by light in the suprachiasmatic nucleus is identified.

Publication Title

Identification of novel light-induced genes in the suprachiasmatic nucleus.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP049479
Human cells contain natural double-stranded RNAs with potential regulatory capacity
  • organism-icon Homo sapiens
  • sample-icon 14 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

Although recent evidence suggests that overlapping sense/antisense transcription is a common feature in higher eukaryotes, the possibility that overlapping transcripts could interact to each other and bear a specific biological function has not been explored. Here we show that a plethora of sense/antisense transcript pairs are co-expressed from 8q24.21 within the same cell and acquire a stable double-stranded RNA conformation. Interestingly, these molecules display predominantly nuclear localization and establish specific interactions with nuclear components. A detailed characterization of a particular sense/antisense pair (ndsRNA-2a) revealed that this molecule displays differential localization throughout the cell cycle, interacts with RCC1 and RAN and through the latter with the mitotic RANGAP1-SUMO1/RANBP2 complex. Notably, an increased number of bi/multi-nucleated cells and chromatin bridges were observed upon ndsRNA-2a overexpression, whereas strand-specific ndsRNA-2a knockdown leads to mitotic catastrophe and cell death. This suggests a functional role of ndsRNA-2a in cell cycle progression that critically requires its double stranded nature. Finally, the identification of hundreds of sense/antisense transcripts pairs harboring ndsRNA profile signatures and their regulation by cellular cues suggests that ndsRNAs constitute a novel class of regulatory molecules that are likely to be involved in a plethora of biological processes. Overall design: PLB985 long (3x datasets) and small (3x datasets) strand specific RNA-Seq for captured RNAs. Global PLB985 for long (2x datasets) and small RNAs (2x datasets). Global libraries for EtOH (vehicle) treated (1x dataset) or retinoic acid induced differentiated PLB985 cells (1x dataset).

Publication Title

Human cells contain natural double-stranded RNAs with potential regulatory functions.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE1025
Hindlimb muscle, comparison of wild type and mdx mice, 7 to 112 Day (Porter lab)
  • organism-icon Mus musculus
  • sample-icon 36 Downloadable Samples
  • Technology Badge Icon Affymetrix Murine Genome U74A Version 2 Array (mgu74av2)

Description

Determination of gene expression changes in hindlimb muscle (gastrocnemius/soleus) of mdx (dystrophin-deficient) mice at postnatal ages 7, 14, 23, 28, 56, and 112.

Publication Title

Dissection of temporal gene expression signatures of affected and spared muscle groups in dystrophin-deficient (mdx) mice.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE12289
Identifying Significant Temporal Variation in Time Course Microarray Data Without Replicates
  • organism-icon Rattus norvegicus
  • sample-icon 32 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome 230 2.0 Array (rat2302)

Description

An important component of time course microarray studies is the identification of genes that demonstrate significant time-dependent variation in their expression levels. Until recently available methods for performing such significance tests required replicates of individual time points. This paper describes a replicate-free method that was developed as part of a study of the estrous cycle in the rat mammary gland in which no replicate data was collected.

Publication Title

Identifying significant temporal variation in time course microarray data without replicates.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE1008
Extraocular muscle, comparison of wild type and mdx mice, 14 to 112 Days (Porter lab)
  • organism-icon Mus musculus
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix Murine Genome U74A Version 2 Array (mgu74av2)

Description

Determination of gene expression changes in extraocular muscle of mdx (dystrophin-deficient) mice at postnatal ages 14, 28, 56, and 112 days. 3 independent replicates/age/strain.

Publication Title

Dissection of temporal gene expression signatures of affected and spared muscle groups in dystrophin-deficient (mdx) mice.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE907
Gene expression profiling of Rhesus monkey extraocular muscle and its layers (Porter lab)
  • organism-icon Macaca mulatta
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Rhesus monkey extraocular muscle. Data set includes: (a) whole medial and lateral rectus muscle and (b) global and orbital muscle layers separately microdissected using a Leica LSM. All samples were expression profiled here using the Affymetrix human U133 A&B arrays. Data form part of publication: Investigative Ophthalmology and Visual Science 45, 2004.

Publication Title

Genome-wide transcriptional profiles are consistent with functional specialization of the extraocular muscle layers.

Sample Metadata Fields

No sample metadata fields

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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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