Quantitative proteomic dataset of the moss Physcomitrium patens SMG1 KO mutant line

Mamaeva, Anna, Anna Glushkevich, and Igor Fesenko. “Quantitative proteomic dataset of the moss Physcomitrium patens SMG1 KO mutant line.” Data in Brief 40 (2022): 107706. https://doi.org/10.1016/j.dib.2021.107706

Abstract

Nonsense-mediated RNA decay (NMD) mechanism controls the quality of eukaryotic mRNAs by degradation of aberrant transcripts with a premature stop codon (PTC) in a pioneer round of translation. Besides aberrant transcripts, up to 10% of normal mRNA transcripts can be regulated by NMD. As NMD machinery is associated with translation, this system takes part in proteome formation in eukaryotic cells. However, no proteomic datasets of plants with deficient NMD system are currently available.

Here, we provide an isobaric tag for relative and absolute quantitation (iTRAQ)-based quantitative proteomic dataset of the moss Physcomitrium patens smg1 knockout line. The kinase SMG1 is one of the key components of the NMD system in many organisms, including plants. 8-day old protonema of wild type and mutant lines was used for the iTRAQ experiment in three biological replicates. LC-MS/MS data were processed using PEAKS Studio v.8 Software with protein identification based on a Phytozome protein database. Differentially expressed protein groups up- and down-regulated in the smg1 knockout line were found in the resulting dataset. Presented data can improve our understanding of NMD functions in plants.