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accession-icon SRP097580
Genome Wide Transcriptional Modelling of a 24hour timecourse of T-helper cell differentiation
  • organism-icon Mus musculus
  • sample-icon 24 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

In this study we used Genome Wide Transcriptional Modelling (GWTM) to investigate the temporal transcriptional changes during CD4 Th0, Th1 and Th2 differentiation in the first 24 hours after T cell activation. We measured the transcriptional response by RNA seq every four hours for a 24 hour time course. Overall design: WT CD4 T cells were isolated and purified from adult murine spleen. The purified CD4 cells were then set up in culture under three different conditions: Th0, Th1 and Th2. Cells were extracted at 4 hour timepoints during a 24hour timecourse and RNA was extracted for each timepoint under each condition. This RNA was further sequenced to analyse the genome wide transcriptional changes through time under each of the three conditions.

Publication Title

IFITM proteins drive type 2 T helper cell differentiation and exacerbate allergic airway inflammation.

Sample Metadata Fields

Cell line, Subject

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accession-icon GSE44053
Identification of heat stress-targets of translational control by large scale analysis of Arabidopsis trancriptome and translatome.
  • organism-icon Arabidopsis thaliana
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

Heat stress is one of the most prominent and deleterious environmental threads affecting plant growth and development. Upon high temperatures, plants launch specialized gene expression programs that promote stress protection and survival. These programs involve global and specific changes at the transcriptional and translational levels. However the coordination of these processes and their specific role in the establishment of the heat stress response is not fully elucidated.

Publication Title

Analysis of genome-wide changes in the translatome of Arabidopsis seedlings subjected to heat stress.

Sample Metadata Fields

Specimen part

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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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