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Quantitative proteomic dataset of the moss Physcomitrium patens PSEP3 KO and OE mutant lines
Small open reading frames (<100 codons) that are located on long noncoding RNAs (lncRNAs) can encode functional microproteins. These microproteins are shown to play important roles in different cellular processes, such as cell proliferation, development and disease response [1], [2], [3], [4], [5...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8688553/ https://www.ncbi.nlm.nih.gov/pubmed/34977300 http://dx.doi.org/10.1016/j.dib.2021.107715 |
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author | Mamaeva, Anna Knyazev, Andrey Glushkevich, Anna Fesenko, Igor |
author_facet | Mamaeva, Anna Knyazev, Andrey Glushkevich, Anna Fesenko, Igor |
author_sort | Mamaeva, Anna |
collection | PubMed |
description | Small open reading frames (<100 codons) that are located on long noncoding RNAs (lncRNAs) can encode functional microproteins. These microproteins are shown to play important roles in different cellular processes, such as cell proliferation, development and disease response [1], [2], [3], [4], [5], [6]. However, there are only a few known lncRNA-encoded functional microproteins in plants. One such microprotein that was named PSEP3, was identified in the moss Physcomitrium patens by mass-spectrometry analysis. 57-aa PSEP3 contains Low Complexity Region (LCR) enriched with proline. We have previously shown that PSEP3 is translated in protonemata and gametophores of P. patens, and its knockout (KO line) or overexpression (OE line) affects protonemata growth [7]. We performed a quantitative proteomic analysis of the mutant lines with PSEP3 knockout and overexpression. 7-days old protonemata of wild type (WT line) and both mutant lines (KO and OE) were collected and used for iTRAQ-based proteomic experiments. LC-MS/MS data were processed using PEAKS Studio v.8 software with protein identification based on a Phytozome protein database. More analysis of PSEP3 effects on plant growth can be obtained in the paper published in Nucleic Acid Research [8]. |
format | Online Article Text |
id | pubmed-8688553 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-86885532021-12-30 Quantitative proteomic dataset of the moss Physcomitrium patens PSEP3 KO and OE mutant lines Mamaeva, Anna Knyazev, Andrey Glushkevich, Anna Fesenko, Igor Data Brief Data Article Small open reading frames (<100 codons) that are located on long noncoding RNAs (lncRNAs) can encode functional microproteins. These microproteins are shown to play important roles in different cellular processes, such as cell proliferation, development and disease response [1], [2], [3], [4], [5], [6]. However, there are only a few known lncRNA-encoded functional microproteins in plants. One such microprotein that was named PSEP3, was identified in the moss Physcomitrium patens by mass-spectrometry analysis. 57-aa PSEP3 contains Low Complexity Region (LCR) enriched with proline. We have previously shown that PSEP3 is translated in protonemata and gametophores of P. patens, and its knockout (KO line) or overexpression (OE line) affects protonemata growth [7]. We performed a quantitative proteomic analysis of the mutant lines with PSEP3 knockout and overexpression. 7-days old protonemata of wild type (WT line) and both mutant lines (KO and OE) were collected and used for iTRAQ-based proteomic experiments. LC-MS/MS data were processed using PEAKS Studio v.8 software with protein identification based on a Phytozome protein database. More analysis of PSEP3 effects on plant growth can be obtained in the paper published in Nucleic Acid Research [8]. Elsevier 2021-12-16 /pmc/articles/PMC8688553/ /pubmed/34977300 http://dx.doi.org/10.1016/j.dib.2021.107715 Text en © 2021 The Author(s). Published by Elsevier Inc. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Data Article Mamaeva, Anna Knyazev, Andrey Glushkevich, Anna Fesenko, Igor Quantitative proteomic dataset of the moss Physcomitrium patens PSEP3 KO and OE mutant lines |
title | Quantitative proteomic dataset of the moss Physcomitrium patens PSEP3 KO and OE mutant lines |
title_full | Quantitative proteomic dataset of the moss Physcomitrium patens PSEP3 KO and OE mutant lines |
title_fullStr | Quantitative proteomic dataset of the moss Physcomitrium patens PSEP3 KO and OE mutant lines |
title_full_unstemmed | Quantitative proteomic dataset of the moss Physcomitrium patens PSEP3 KO and OE mutant lines |
title_short | Quantitative proteomic dataset of the moss Physcomitrium patens PSEP3 KO and OE mutant lines |
title_sort | quantitative proteomic dataset of the moss physcomitrium patens psep3 ko and oe mutant lines |
topic | Data Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8688553/ https://www.ncbi.nlm.nih.gov/pubmed/34977300 http://dx.doi.org/10.1016/j.dib.2021.107715 |
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