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E-GEOD-36729 - Identification of re-capping substrates for the cytoplasmic capping enzyme complex

Released on 20 December 2012, last updated on 7 January 2013
Homo sapiens
Samples (12)
Array (1)
Protocols (8)
The analysis of capped RNAs by massively parallel sequencing has identified a large number of previously unknown transcripts, some of which are small RNAs and others are 5’ truncated forms of RefSeq genes. The latter may be generated by endonuclease cleavage or by stalling of Xrn1 at defined sites. With the exception of promoter-proximal transcripts the caps on all of these are added post-transcriptionally by a cytoplasmic capping enzyme complex that includes capping enzyme and a kinase that converts 5’-monophosphate ends to a diphosphate capping substrate. We previously described a modified form of capping enzyme with dominant negative activity against cytoplasmic capping (DN-cCE). A tet-inducible form of this was used to identify substrates for cytoplasmic capping by treating cytoplasmic RNA from control and induced cells with and without Xrn1. Surviving RNA was analyzed on Affymetrix Human Exon 1.0 arrays and scored for changes in probe intensity as a function of its position on each RefSeq gene to derive a factor (alpha) that could be compared between sets. Notably, transcriptome-wide changes were not evident unless RNA was treated with Xrn1. This analysis identified 2,666 uncapped mRNAs in uninduced cells, 672 mRNAs that appeared in the uncapped pool in cells expressing DN-cCE, and 835 mRNAs that were in both populations. Changes in cap status of 10 re-capping targets and 5 controls were assessed by 3 independent measures; susceptibility to Xrn1, recovery with a biotin-tagged DNA primer after ligating a complementary RNA oligonucleotide to uncapped 5’ ends, and binding or exclusion from a high affinity cap-binding matrix comprised of immobilized eIF4E and the corresponding binding domain of eIF4G. 3 biological replicates of 4 different samples comparing XRN1 treatment/non-treatment and Dox induction/non-induction of K294A
Experiment type
transcription profiling by array 
Brian Alexander Kennedy <>, Baskar Bakthavachalu, Brian A Kennedy, Chandrama Mukherjee, Daniel Schoenberg, Deepak Patil, Juan Gutierrez, Ralph Bundschuh
Investigation descriptionE-GEOD-36729.idf.txt
Sample and data relationshipE-GEOD-36729.sdrf.txt
Raw data (2),
Processed data (1)
Array designA-AFFY-143.adf.txt