Exploiting human and mouse transcriptomic data: Identification of circadian genes and pathways influencing health

The power of the application of bioinformatics across multiple publicly available transcriptomic data sets was explored. Using 19 human and mouse circadian transcriptomic data sets, we found that NR1D1 and NR1D2 which encode heme‐responsive nuclear receptors are the most rhythmic transcripts across...

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Detalles Bibliográficos
Autores principales: Laing, Emma E., Johnston, Jonathan D., Möller‐Levet, Carla S., Bucca, Giselda, Smith, Colin P., Dijk, Derk‐Jan, Archer, Simon N.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2015
Materias:
Prospects & Overviews
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5031210/
https://www.ncbi.nlm.nih.gov/pubmed/25772847
http://dx.doi.org/10.1002/bies.201400193

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5031210/
https://www.ncbi.nlm.nih.gov/pubmed/25772847
http://dx.doi.org/10.1002/bies.201400193

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