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accession-icon GSE50384
Comparison of transcriptomes in five varieties of citrus fruit
  • organism-icon Citrus reticulata, Citrus x paradisi, Citrus sinensis, Citrus limon
  • sample-icon 17 Downloadable Samples
  • Technology Badge Icon Affymetrix Citrus Genome Array (citrus)

Description

To identify genes associated with citrus peel development and manifestation of peel disorders, we analyzed flavedo, albedo and juice sac tissues from five types of citrus fruit including, mandarin orange, navel orange, valencia orange, grapefruit and lemon.

Publication Title

Transcriptome and metabolome analysis of citrus fruit to elucidate puffing disorder.

Sample Metadata Fields

Specimen part

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accession-icon GSE49957
Transcriptome analysis to elucidate puffing disorder in Citrus
  • organism-icon Citrus sinensis
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Citrus Genome Array (citrus)

Description

To identify genes associated with citrus peel development and manifestation of peel disorders, we analyzed flavedo, albedo and juice sac tissues from navel orange displaying, and not displaying, the puff disorder.

Publication Title

Transcriptome and metabolome analysis of citrus fruit to elucidate puffing disorder.

Sample Metadata Fields

Specimen part

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accession-icon GSE108374
Development of a 3D Bone Marrow Adipose Tissue Model
  • organism-icon Mus musculus
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Clariom S Array (clariomsmouse)

Description

Herein we compare mouse (C57B6/J background, 16 week old) adherent bone marrow stromal cell gene expression after 4 weeks of adipogenic differentiation in 3D versus 2D culture.

Publication Title

Development of a 3D bone marrow adipose tissue model.

Sample Metadata Fields

Sex, Disease

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accession-icon SRP061329
The LIN28B/let-7 axis is a novel therapeutic pathway in Multiple Myeloma
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

MYC is a major oncogenic driver of Multiple Myeloma (MM) and yet almost no therapeutic agents exist that target MYC in MM. Here we report that the let-7 biogenesis inhibitor LIN28B correlates with MYC expression in MM and is associated with adverse outcome. We also demonstrate that the LIN28B/let-7 axis modulates the expression of MYC, itself a let-7 target. Further, perturbation of the axis regulates the proliferation of MM cells in vivo in a xenograft tumor model. RNA sequencing and gene set enrichment analyses of CRISPR-engineered cells further suggest that the LIN28/let-7 axis regulates MYC and cell cycle pathways in MM. We provide proof-of-principle for therapeutic regulation of MYC through let-7 with an LNA-GapmeR containing a let-7b mimic in vivo, demonstrating that high levels of let-7 expression repress tumor growth by regulating MYC expression. These findings reveal a novel mechanism of therapeutic targeting of MYC through the LIN28B/let-7 axis in MM that may impact other MYC dependent cancers as well. Overall design: RNA sequencing of MOLP-8 cells transduced with lentiCRISPRv2 scrambled control or containing a sgRNA against LIN28B. Both control and LIN28B KO cells were sequenced in triplicate.

Publication Title

The LIN28B/let-7 axis is a novel therapeutic pathway in multiple myeloma.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE39189
GEP data from BCWM.1 cells treated with LNA antimiR-155 or scramble control
  • organism-icon Homo sapiens
  • sample-icon 2 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

microRNA-155 acts as an oncogenic miRNA in B-cell lymphoproliferative disorders including Waldenstrom Macroglobulinemia (WM) and Chronic Lymphocytic Leukemia (CLL).

Publication Title

LNA-mediated anti-miR-155 silencing in low-grade B-cell lymphomas.

Sample Metadata Fields

Cell line

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accession-icon GSE42257
Murine bone marrow gene expression profiling
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Mice have been treated with NOX-A12. Whole BM cells have been harvested, RNA isolated, and gene expression profiling was performed on cDNA using Mouse Genome 430 2.0 array. Untreated mice have been used as control.

Publication Title

SDF-1 inhibition targets the bone marrow niche for cancer therapy.

Sample Metadata Fields

Treatment

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accession-icon SRP076097
TLR2/1 ligand and IFN-g inducible genes in human monocyte-derived macrophages (MDMs)
  • organism-icon Homo sapiens
  • sample-icon 39 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Transcriptome profiles for innate and adaptive immune stimuli important for host response against mycobacteria. Human monocyte-derived macrophages were stimulated with TLR2/1 ligand and interferon-g, stimuli present during innate and adaptive immune responses, respectively. Overall design: Human monocyte-dervided macrophages from five healthy donors were stimulated with TLR2/1L, IFN-g, or media control for 2, 6, and 24 hours. RNA-sequencing was performed on a total of 45 samples.

Publication Title

S100A12 Is Part of the Antimicrobial Network against Mycobacterium leprae in Human Macrophages.

Sample Metadata Fields

Specimen part, Subject

View Samples
accession-icon GSE12831
The role of qseE, qseF and qseG in the regulation of EHEC virulence
  • organism-icon Escherichia coli
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix E. coli Genome 2.0 Array (ecoli2)

Description

Escherichia coli 8624 and the isogenic mutants in qseE, qseF and qseG are compared to determine the role that each of the genes play in regulation of the transcriptome. These results are verified by qRT-PCR and reveal the important role of this three-component signaling system.

Publication Title

The two-component system QseEF and the membrane protein QseG link adrenergic and stress sensing to bacterial pathogenesis.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE90811
Genome-wide profiling of gene expression/splicing patterns in iAs-transformed cells
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Transcriptome Array 2.0 (hta20)

Description

Chronic low dose inorganic arsenic (iAs) exposure leads to changes in gene expression and epithelial-to-mesenchymal transformation. During this transformation, cells adopt a fibroblast-like phenotype accompanied by profound gene expression changes. While many mechanisms have been implicated in this transformation, studies that focus on the role of epigenetic alterations in this process are just emerging. DNA methylation controls gene expression in physiologic and pathologic states. Several studies show alterations in DNA methylation patterns in iAs-mediated pathogenesis, but these studies focused on single genes. We present a comprehensive genome-wide DNA methylation analysis using methyl-sequencing to measure changes between normal and iAs-transformed cells. Additionally, these differential methylation changes correlated positively with changes in gene expression and alternative splicing. Interestingly, most of these differentially methylated genes function in cell adhesion and communication pathways. To gain insight into how genomic DNA methylation patterns are regulated iAs-mediated carcinogenesis, we show that iAs probably targets CTCF binding at the promoter of DNA methyltransferases, regulating their expression. These findings reveal how transcription factor binding regulates DNA methyltransferase to reprogram the methylome in response to an environmental toxin.

Publication Title

Genome-wide DNA methylation reprogramming in response to inorganic arsenic links inhibition of CTCF binding, DNMT expression and cellular transformation.

Sample Metadata Fields

Specimen part, Cell line, Treatment

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accession-icon GSE46449
Expression data from Patients with Bipolar (BP) Disorder and Matched Control Subjects
  • organism-icon Homo sapiens
  • sample-icon 84 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

There are currently no biological tests that differentiate patients with bipolar disorder (BPD) from healthy controls. While there is evidence that peripheral gene expression differences between patients and controls can be utilized as biomarkers for psychiatric illness, it is unclear whether current use or residual effects of antipsychotic and mood stabilizer medication drives much of the differential transcription. We therefore tested whether expression changes in first-episode, never-medicated bipolar patients, can contribute to a biological classifier that is less influenced by medication and could potentially form a practicable biomarker assay for BPD.

Publication Title

Utilization of never-medicated bipolar disorder patients towards development and validation of a peripheral biomarker profile.

Sample Metadata Fields

Sex, Age, Specimen part

View Samples
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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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Developed by the Childhood Cancer Data Lab

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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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