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accession-icon GSE71090
Expression data from isogenic Pten WT or KO mouse T-ALLs
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
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Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Metabolic reprogramming induces resistance to anti-NOTCH1 therapies in T cell acute lymphoblastic leukemia.

Sample Metadata Fields

Specimen part

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accession-icon GSE71087
Expression data from isogenic Pten WT or KO mouse T-ALLs treated with DBZ or DMSO
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
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Description

To investigate the underlying mechanisms mediating resistance to NOTCH inhibition in Pten-null T-ALL tumor cells we performed gene expression profiling of isogenic Pten-positive and Pten-deleted leukemia lymphoblasts after acute treatment with DBZ in vivo.

Publication Title

Metabolic reprogramming induces resistance to anti-NOTCH1 therapies in T cell acute lymphoblastic leukemia.

Sample Metadata Fields

Specimen part

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accession-icon GSE38409
Expression data from mouse lungs, exposed in-utero to second-hand smoke (SHS) and challenged with ovalbumin (OVA) as adults.
  • organism-icon Mus musculus
  • sample-icon 15 Downloadable Samples
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Description

SHS exposure during pregnancy has adverse effects on offspring.

Publication Title

In utero exposure to second-hand smoke aggravates the response to ovalbumin in adult mice.

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE64761
Identification of AUF1 target mRNAs
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
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Description

Regulation of mRNA stability by RNA-protein interactions contributes significantly to quantitative aspects of gene expression. We have identified potential mRNA targets of the AU-rich element binding protein AUF1. Myc-tagged AUF1 p42 was induced in mouse NIH-3T3 cells and RNA-protein complexes isolated using anti-myc tag antibody beads. Bound mRNAs were analyzed with Affymetrix microarrays. We have identified 508 potential target mRNAs that were at least 3-fold enriched compared to control cells without myc-AUF1. 22.3% of the enriched mRNAs had an AU-rich cluster in the ARED Organism database, against 16.3% of non-enriched control mRNAs. The enrichment towards AU-rich elements was also visible by AREScore with an average value of 5.2 in the enriched mRNAs versus 4.2 in the control group. Yet, many mRNAs were enriched without a high ARE score suggesting that AUF1 has a broader binding spectrum than standard AUUUA repeats. AUF1 did not preferentially bind to unstable mRNAs. Still, some enriched mRNAs were highly unstable, as those of TNFSF11 (known as RANKL), KLF10, HES1, CCNT2, SMAD6, and BCL6. We have mapped some of the instability determinants. HES1 mRNA appeared to have a coding region determinant. Detailed analysis of the RANKL and BCL6 3UTR revealed for both that full instability required two elements, which are conserved in evolution. In RANKL mRNA both elements are AU-rich and separated by 30 bases, while in BCL6 mRNA one is AU-rich and 60 bases from a non AU-rich element that potentially forms a stem-loop structure.

Publication Title

Short-lived AUF1 p42-binding mRNAs of RANKL and BCL6 have two distinct instability elements each.

Sample Metadata Fields

Cell line

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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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