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accession-icon SRP123293
Mutational landscape of aggressive natural killer-cell leukemia and drug profiling highlight JAK-STAT signaling as a therapeutic target in NK-cell malignancies
  • organism-icon Homo sapiens
  • sample-icon 10 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Cell lines derived from NK cell neoplasms were characterized using RNA sequencing and high-throughput drug sensitivity profiling to identify therapeutically actionable drivers in malignant NK cells. Overall design: RNA sequencing data was obtained from natural killer and T cell lines for gene expression profiling and mutation detection in parallel with drug sensitivity profiling. The ''NK_cell_line_GEO_drug_sensitivity.txt'' contains drug sensitivity scores of cell lines screened using 459 compounds. Breifly, compounds were preprinted on 384-well plates (Corning) in five different concentrations covering a 10,000-fold concentration range with an acoustic liquid handling device (Echo 550, Labcyte Inc.) and dissolved in 5 l culture medium on a shaker for 10 min. 20 l of single-cell suspension of cell lines (3,000 cells per well) were dispensed using Multi-Drop Combi peristaltic dispenser (Thermo Scientific). Plates were incubated at 37 C and 5% CO2 for 72 h after which cell viability was measured using CellTiter-Glo 2.0 reagent (Promega) according to the manufacturer s instructions with a Pherastar FS plate reader (BMG Labtech). Cell viability luminescence data were normalized to DMSO-only wells (negative control) and 100 mM benzethonium chloride-containing wells (positive control). The data were quantified using the drug sensitivity score (DSS) (Yadav et al., Scientific Reports 2014).

Publication Title

Aggressive natural killer-cell leukemia mutational landscape and drug profiling highlight JAK-STAT signaling as therapeutic target.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon GSE35700
Expression data from low R:FR - JA crosstalk in Arabidopsis
  • organism-icon Arabidopsis thaliana
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

Low reduced red:far-red ratio [R:FR] signaling through phytochromes induces shade avoidance responses, including petiole elongation. Jasmonic acid-mediated defense against herbivores and pathogens is inhibited under these conditions.

Publication Title

Low red/far-red ratios reduce Arabidopsis resistance to Botrytis cinerea and jasmonate responses via a COI1-JAZ10-dependent, salicylic acid-independent mechanism.

Sample Metadata Fields

Specimen part, Treatment

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accession-icon GSE77806
Role of root-specific transcription factor MYB72 in regulation of Pseudomonas fluorescens WCS417-mediated changes in gene expression in roots of Arabidopsis thaliana
  • organism-icon Arabidopsis thaliana
  • sample-icon 17 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

Selected soil-borne rhizobacteria can trigger an induced systemic resistance (ISR) that is effective against a broad spectrum of pathogens. In Arabidopsis thaliana, the root-specific transcription factor MYB72 is required for the onset of ISR, but is also associated with plant survival under conditions of iron deficiency. Here we investigated the role of MYB72 in both processes. To identify MYB72 target genes, we analyzed the root transcriptomes of wild-type Col-0, mutant myb72, and complemented 35S:FLAG-MYB72/myb72 plants in response to ISR-inducing Pseudomonas fluorescens WCS417. Five WCS417-inducible genes were misregulated in myb72 and complemented in 35S:FLAG-MYB72/myb72. Amongst these, we uncovered -glucosidase BGLU42 as a novel component of the ISR signaling pathway. Overexpression of BGLU42 resulted in constitutive disease resistance, whereas bglu42 was defective in ISR. Furthermore, we found 195 genes to be constitutively upregulated in MYB72-overexpressing roots in the absence of WCS417. Many of these encode enzymes involved in the production of iron-mobilizing phenolic metabolites under conditions of iron deficiency. We provide evidence that BGLU42 is required for their release into the rhizosphere. Together, this work highlights a thus far unidentified link between the ability of beneficial rhizobacteria to stimulate systemic immunity and mechanisms induced by iron deficiency in host plants.

Publication Title

β-Glucosidase BGLU42 is a MYB72-dependent key regulator of rhizobacteria-induced systemic resistance and modulates iron deficiency responses in Arabidopsis roots.

Sample Metadata Fields

Specimen part

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accession-icon GSE45728
Expression data from low R:FR - SA crosstalk in Arabidopsis
  • organism-icon Arabidopsis thaliana
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

Low R:FR signaling through phytochromes induces shade avoidance responses, including petiole elongation. Salicylic acid-mediated defense against pathogens is inhibited under these conditions.

Publication Title

Perception of low red:far-red ratio compromises both salicylic acid- and jasmonic acid-dependent pathogen defences in Arabidopsis.

Sample Metadata Fields

Age, Specimen part, Treatment

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accession-icon GSE33903
Expression array of peripheral neuro-ectodermal cell lines
  • organism-icon Homo sapiens
  • sample-icon 20 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

To study differentially expressed genes in neuro-ectodermal cell lines

Publication Title

Downregulation of Axl in non-MYCN amplified neuroblastoma cell lines reduces migration.

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE15719
p73 activity and rapamycin treatment: ChIP-on-Chip and gene expression profiling studies
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Tiling 2.0R Set, Array 1 (hs35bp01r), Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

p73 is a p53 family transcription factor that plays critical roles during development and tumor suppression. We analyzed p73 activity using a combination of ChIP-on-Chip and gene expression profiling, both at baseline and after treatment with the mTOR inhibitor rapamycin.

Publication Title

Differential regulation of the p73 cistrome by mammalian target of rapamycin reveals transcriptional programs of mesenchymal differentiation and tumorigenesis.

Sample Metadata Fields

Treatment

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accession-icon GSE11673
Identification of candidate p73 target genes
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The integral role of p53 in tumor suppression has promted many laboratories to perform extensive analyses of signaling pathways downstream of the p53 family of sequence-specific DNA binding transcription factors (p53 and its homologs p63 and p73). Despite the ability of p73 to regulate many p53 family target genes, little is known about the specific pathways that modulate p73 during development, tumorigenesis and tumor therapy. In this study we present a gene signature-based approach for connecting signaling pathways to transcription factors, as exemplified by p73. We generated a p73 gene signature by integrating whole-genome chromatin immunoprecipitation and expression profiling.

Publication Title

A gene signature-based approach identifies mTOR as a regulator of p73.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE11626
Expression data from p73 over-expression in H1299 cells
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The integral role of p53 in tumor suppression has promted many laboratories to perform extensive analyses of signaling pathways downstream of the p53 family of sequence-specific DNA binding transcription factors (p53 and its homologs p63 and p73). Despite the ability of p73 to regulate many p53 family target genes, little is known about the specific pathways that modulate p73 during development, tumorigenesis and tumor therapy. In this study we present a gene signature-based approach for connecting signaling pathways to transcription factors, as exemplified by p73. We generated a p73 gene signature by integrating whole-genome chromatin immunoprecipitation and expression profiling.

Publication Title

A gene signature-based approach identifies mTOR as a regulator of p73.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE35354
Meta-analysis of global transcriptomics of Quercetin and Tannic acid exposed C. elegans
  • organism-icon Caenorhabditis elegans
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix C. elegans Genome Array (celegans)

Description

Recent research has highlighted that the polyphenols Quercetin (Q) and Tannic acid (TA) are capable of extending the lifespan of C. elegans. To gain a deep understanding of the underlying molecular genetics, we analyzed the global transcriptional patterns of nematodes exposed to Quercetin or Tannic acid concentrations that are non-effective (in lifespan extension), lifespan extending or toxic.

Publication Title

Meta-Analysis of Global Transcriptomics Suggests that Conserved Genetic Pathways are Responsible for Quercetin and Tannic Acid Mediated Longevity in C. elegans.

Sample Metadata Fields

Specimen part, Treatment

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accession-icon GSE58327
Expression data from mouse luminal mammary epithelial cells
  • organism-icon Mus musculus
  • sample-icon 2 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

We used a mouse strain in which one Tbx3 gene was replaced with the yellow fluorescent protein variant Venus. Luminal cells had either very high Tbx3 promoter activity or not at all.

Publication Title

Transcriptional repressor Tbx3 is required for the hormone-sensing cell lineage in mammary epithelium.

Sample Metadata Fields

No sample metadata fields

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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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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