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Quantitative proteomic dataset of the moss Physcomitrium patens SMG1 KO mutant line.
Mamaeva, Anna; Glushkevich, Anna; Fesenko, Igor.
Afiliación
  • Mamaeva A; Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry of the Russian Academy of Sciences, Moscow, Russia.
  • Glushkevich A; Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry of the Russian Academy of Sciences, Moscow, Russia.
  • Fesenko I; Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry of the Russian Academy of Sciences, Moscow, Russia.
Data Brief ; 40: 107706, 2022 Feb.
Article en En | MEDLINE | ID: mdl-34977295
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 [1,2]. 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.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: Data Brief Año: 2022 Tipo del documento: Article País de afiliación: Rusia

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: Data Brief Año: 2022 Tipo del documento: Article País de afiliación: Rusia