Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

0

Transcription profiling of light and carbon signaling interactions in Arabidopsis


ABSTRACT: A. thaliana seeds of Columbia (Col-0) ecotype were surface-sterilized, plated on designated media and vernalized for 48 hours at 8C. Plants were grown semi-hydroponically under 16-hr-light, 8-hr-dark cycles at a constant temperature of 23C on basal Murashige and Skoog medium supplemented with 2 mM KNO3, 2 mM NH4NO3 and 30 mM sucrose. Two-week-old seedlings were transferred to fresh MS media without nitrogen and sucrose and dark-adapted for 48 hours. To perform specific metabolic treatments manipulating availability of source of carbon (C) and illumination (L): -C-L, +C-L, -C+L, +C+L, two-week-old seedlings were transferred to fresh MS medium containing 0% or 1% sucrose and either placed back into the dark or illuminated with white light for an additional 8 hours. The various treatments were compared to one another using the treatment of -C-L as the background treatment to which all other treatments (-C+L, +C-L, +C+L) were compared.

ORGANISM(S): Arabidopsis thaliana

SUBMITTER: Michael Shin 

PROVIDER: E-MEXP-71 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

altmetric image

Publications

Genome-wide investigation of light and carbon signaling interactions in Arabidopsis.

Thum Karen E KE   Shin Michael J MJ   Palenchar Peter M PM   Kouranov Andrei A   Coruzzi Gloria M GM  

Genome biology 20040127 2


<h4>Background</h4>Light and carbon are two essential signals influencing plant growth and development. Little is known about how carbon and light signaling pathways intersect or influence one another to affect gene expression.<h4>Results</h4>Microarrays are used to investigate carbon and light signaling interactions at a genome-wide level in Arabidopsis thaliana. A classification system, 'InterAct Class', is used to classify genes on the basis of their expression profiles. InterAct classes and  ...[more]

Similar Datasets

2008-02-23 | E-MEXP-1112 | biostudies-arrayexpress
2013-07-27 | E-MEXP-3685 | biostudies-arrayexpress
2013-04-15 | E-GEOD-38879 | biostudies-arrayexpress
2010-08-25 | E-GEOD-21601 | biostudies-arrayexpress
2014-11-20 | E-GEOD-62537 | biostudies-arrayexpress
2015-06-10 | E-GEOD-38102 | biostudies-arrayexpress
2013-07-03 | E-GEOD-40138 | biostudies-arrayexpress
2013-11-01 | E-MTAB-1799 | biostudies-arrayexpress
2009-09-30 | E-GEOD-16971 | biostudies-arrayexpress
2008-11-13 | E-GEOD-9996 | biostudies-arrayexpress