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accession-icon GSE42084
Analysis of Unique and Overlapping Patterns of Gene Expression After Treatment of Zebrafish Embryos with Estradiol and/or Dioxin
  • organism-icon Danio rerio
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Zebrafish Genome Array (zebrafish)

Description

To increase the utility of the zebrafish gene expression bioassay for assessing EDC effects on multiple gene targets and tissue types, and to expand our understanding of genetic overlap between estrogen receptor (ER) and arylhydrocarbon receptor (AhR) mediated signaling pathways, we conducted microarray analysis of zebrafish embryos exposed to estradiol and dioxin alone or in combination. Of >16,000 probe sets on the array, 34 were regulated by estradiol (E2), 86 by dioxin (TCDD) and 109 by E2+TCDD (as chosen by >2-fold change and p<0.1). Of 62 genes selected for verification by QPCR, 14 genes, or 22% were reproducibly up- or down-regulated, offering potential additional target genes for screening of estrogen- and dioxin-like EDC. The majority of these successful hits, 11, were TCDD-responsive. In addition, all of the target genes routinely evaluated in this laboratory (AroB, Vtg1, and Esr1: E2-responsive; Cyp1a: TCDD- responsive; Vtg1: E2+TCDD-responsive) were verified with these arrays, testifying to the power of microarray analysis in finding reliable responsive genes. However, over two-thirds of the novel up- or down- regulated probes were not annotated as zebrafish genes, and many of the identified genes were changed only 2- to 3-fold, an effect often not reproduced by QPCR. Additional responsive genes were identified for each treatment condition, and while low levels of expression and low magnitude fold changes make those for E2 responsiveness or interaction between E2 and TCDD response unlikely to serve as robust biomarkers, their response to EDCs may assist in understanding the regulation of existing biomarkers and zebrafish endocrine systems as a whole. In addition to a source for potential EDC screening biomarkers, these studies provide an entry point to further study physiological effects of ER and AHR ligands and cross-talk between these signaling pathways, in a physiologically relevant in vivo model.

Publication Title

No associated publication

Sample Metadata Fields

Specimen part

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accession-icon E-MEXP-149
Transcription profiling of blasts from three APL patients expressing PML/RAR before and after treatment with 1 uM retinoic acid (RA) in vitro for four hours
  • organism-icon Homo sapiens
  • sample-icon 40 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133B Array (hgu133b), Affymetrix Human Genome U133A Array (hgu133a)

Description

Gene expression profiles in blasts from three APL patients expressing PML/RAR were assessed before and after treatment with 1 uM retinoic acid (RA) in vitro for four hours. We then studied a U937 clone conditionally expressing PML/RAR (U937-PR), (Grignani et al. 1993) (Alcalay et al. 2003), and compared the gene expression profile prior to and after 4 hours of treatment with 1 uM RA, to that obtained from a cell line bearing an empty vector (U937-MT). For each sample, biotinylated cRNA targets were synthesized starting from 5ug of total RNA, and hybridized to the complete set of HG-U133 Affymetrix oligonucleotide chips, which explores the expression of approximately 45,000 human transcripts. Results were analyzed using MASv5 and further elaborated with the GenePicker software. GeneChip probe sets regulated by RA in each sample were clustered into non-redundant regulated genes according to UniGene release Hs.166.

Publication Title

Molecular signature of retinoic acid treatment in acute promyelocytic leukemia.

Sample Metadata Fields

Specimen part, Disease, Cell line, Subject, Compound

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accession-icon E-MEXP-1006
Transcription profiling time series of finite life span and immortal non-malignant human mammary epithelial cell lines
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

We analyzed gene expression in 184 (finite life span) and HMT3522 S1 (immortal non-malignant) HMECs on successive days (3, 5, and 7) post-seeding in a laminin-rich extracellular matrix assay. Both HMECs underwent growth arrest in G0/G1 and differentiated into polarized acini between days 5 and 7.

Publication Title

Gene expression signature in organized and growth-arrested mammary acini predicts good outcome in breast cancer.

Sample Metadata Fields

Sex, Specimen part, Cell line, Time

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accession-icon SRP040070
Transcriptomic analysis of the Novel Middle East Respiratory Syndrome Coronavirus (MERS-CoV)
  • organism-icon Homo sapiens
  • sample-icon 134 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2500, IlluminaHiSeq2000

Description

No description.

Publication Title

No associated publication

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP039446
Genetic variability in Babesia microti, the causative agent of human babesiosis, an emerging infectious disease in the United States
  • organism-icon Mus musculus
  • sample-icon 2 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

RNA-seq of Babesia microti isolates and rodent host

Publication Title

No associated publication

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP039439
Genetic variability in Babesia microti, the causative agent of human babesiosis, an emerging infectious disease in the United States
  • organism-icon Mus musculus
  • sample-icon 2 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

RNA-seq of Babesia microti isolates and rodent host

Publication Title

No associated publication

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP039456
Genetic variability in Babesia microti, the causative agent of human babesiosis, an emerging infectious disease in the United States
  • organism-icon Mus musculus
  • sample-icon 2 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

RNA-seq of Babesia microti isolates and rodent host

Publication Title

No associated publication

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP039438
Genetic variability in Babesia microti, the causative agent of human babesiosis, an emerging infectious disease in the United States
  • organism-icon Mus musculus
  • sample-icon 2 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

RNA-seq of Babesia microti isolates and rodent host

Publication Title

No associated publication

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP039491
Genetic variability in Babesia microti, the causative agent of human babesiosis, an emerging infectious disease in the United States
  • organism-icon Mus musculus
  • sample-icon 2 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

RNA-seq of Babesia microti isolates and rodent host

Publication Title

No associated publication

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP039449
Genetic variability in Babesia microti, the causative agent of human babesiosis, an emerging infectious disease in the United States
  • organism-icon Mus musculus
  • sample-icon 1 Downloadable Sample
  • Technology Badge IconIllumina HiSeq 2500

Description

RNA-seq of Babesia microti isolates and rodent host

Publication Title

No associated publication

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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