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accession-icon GSE95680
Shifting the optimal stiffness for cell migration
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

Cell migration is central to many biological processes including embryonic development, wound healing, and cancer progression. Cell migration is sensitive to environmental stiffness, and many cell types exhibit a stiffness optimum at which migration is maximal. Here we present a cell migration simulator that predicts a stiffness optimum that can be shifted by altering the number of active molecular motors and clutches. This prediction is verified experimentally by comparing cell traction and F-actin retrograde flow for two cell types with differing amounts of active motors and clutches: embryonic chick forebrain neurons (ECFNs; optimum ~1 kPa) and U251 glioma cells (optimum ~100 kPa). In addition, the model predicts, and experiments confirm, that the stiffness optimum of U251 glioma cell migration, morphology, and F-actin retrograde flow rate can be shifted to lower stiffness by simultaneous drug inhibition of myosin II motors and integrin-mediated adhesions.

Publication Title

Shifting the optimal stiffness for cell migration.

Sample Metadata Fields

Sex, Cell line

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accession-icon SRP075665
RNA seq of ventral rumen wall of Australian sheep
  • organism-icon Ovis aries
  • sample-icon 55 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Experiment to understand relationships between sheep rumen wall transcriptome and microbial methane emissions Overall design: RNA seq of ventral rumen wall of Australian sheep

Publication Title

Across-Experiment Transcriptomics of Sheep Rumen Identifies Expression of Lipid/Oxo-Acid Metabolism and Muscle Cell Junction Genes Associated With Variation in Methane-Related Phenotypes.

Sample Metadata Fields

Subject

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accession-icon SRP071635
Alternative splicing regulation by homologous Muscleblind proteins
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

We provide data showing alternative splicing regulation by Muscleblind proteins in MEFs. MEFs lacking functional Muscleblind (DKO MEFs) were stably reconstituted with Muscleblind proteins from Homo sapiens, Ciona intestinalis, Drosophila melanogaster, Caenorhabditis elegans or Trichoplax adhaerens and splicing regulation was explored using RNA-seq analysis followed by MISO (Mixture of Isoforms). Overall design: Alternative splicing was accessed using RNA-sequencing data from five DKO MEF lines reconstituted with different GFP-tagged Muscleblind homologs or GFP alone and compared to RNA-seq data from three WT MEF lines and three control DKO MEFs (no Muscleblind reconstitution). A total of 12 samples were used for high-throughput sequencing.

Publication Title

Conservation of context-dependent splicing activity in distant Muscleblind homologs.

Sample Metadata Fields

Subject

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accession-icon SRP167390
Next-gen RNA sequencing of Sleeping Beauty accelerated mouse brain tumors
  • organism-icon Mus musculus
  • sample-icon 57 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Expression profiling by high throughput sequencing Overall design: 23 Tumor samples were obtained from a Sleeping Beauty forward genetic screen and sequenced using Illumina HiSeq 2000

Publication Title

<i>Sleeping Beauty</i> Insertional Mutagenesis Reveals Important Genetic Drivers of Central Nervous System Embryonal Tumors.

Sample Metadata Fields

Specimen part, Subject

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accession-icon SRP042303
Targeting c-MYC by antagonizing PP2A inhibitors in breast cancer
  • organism-icon Homo sapiens
  • sample-icon 5 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

Inhibition of SET by siRNA or SET antagonist and CIP2A by siRNA can downregulate c-MYC and c-MYC target genes. Overall design: Cells were treated with a SET antagonist (1µMOP449) for 12 hours, or siRNA for 48 hours.

Publication Title

Targeting c-MYC by antagonizing PP2A inhibitors in breast cancer.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP115904
RNA-seq analysis of iPSC-derived heptocytes with mutations in NR1H4
  • organism-icon Homo sapiens
  • sample-icon 36 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

We discovered a rare missense mutation in NR1H4 (R436H), which encodes the farnesoid X receptor (FXR), associating with lower levels of total cholesterol in the Icelandic population. To explore the effects of R436H we used CRISPR-Cas9 to generate homozygous NR1H4 R436H and NR1H4 knockout human iPSC lines which we differentiated to hepatocytes. Hepatocytes were treated with an FXR agonist for 24 hours and transcript abundance measured by RNA-seq. The global response to FXR activation in NR1H4 R436H cells was very similar to that of wild-type cells showing that it is not a loss-of-function mutation. However, we did observe subtle gene expression differences compatible with an effect on lipids when we compared R436H agonist treated hepatocytes to wild-type agonist treated hepatocytes. Overall design: RNA-seq was performed on wild-type, NR1H4 knockout and NR1H4 R436H iPSC-derived hepatocytes treated with FXR agonist GW4064.

Publication Title

Predicted loss and gain of function mutations in ACO1 are associated with erythropoiesis.

Sample Metadata Fields

Specimen part, Treatment, Subject

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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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