Cargando…
Quantitative proteome and phosphoproteome datasets of DNA replication and mitosis in Saccharomyces cerevisiae
Cell division is a highly regulated process that secures the generation of healthy progeny in all organisms, from yeast to human. Dysregulation of this process can lead to uncontrolled cell proliferation and genomic instability, both which are hallmarks of cancer. Cell cycle progression is dictated...
Autores principales: | , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9679744/ https://www.ncbi.nlm.nih.gov/pubmed/36425962 http://dx.doi.org/10.1016/j.dib.2022.108741 |
_version_ | 1784834264432377856 |
---|---|
author | Rossio, Valentina Paulo, Joao A |
author_facet | Rossio, Valentina Paulo, Joao A |
author_sort | Rossio, Valentina |
collection | PubMed |
description | Cell division is a highly regulated process that secures the generation of healthy progeny in all organisms, from yeast to human. Dysregulation of this process can lead to uncontrolled cell proliferation and genomic instability, both which are hallmarks of cancer. Cell cycle progression is dictated by a complex network of kinases and phosphatases. These enzymes act on their substrates in a highly specific temporal manner ensuring that the process of cell division is unidirectional and irreversible. Key events of the cell cycle, such as duplication of genetic material and its redistribution to daughter cells, occur in S-phase and mitosis, respectively. Deciphering the dynamics of phosphorylation/dephosphorylation events during these cell cycle phases is important. Here, we showcase a quantitative proteomic and phosphoproteomic mass spectrometry dataset that profiles both early and late phosphorylation events and associated proteome alterations that occur during S-phase and mitotic arrest in the model organism S. cerevisiae. This dataset is of broad interest as the molecular mechanisms governing cell cycle progression are conserved throughout evolution. The data has been deposited in ProteomeXchange with the dataset identifier PXD037291. |
format | Online Article Text |
id | pubmed-9679744 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-96797442022-11-23 Quantitative proteome and phosphoproteome datasets of DNA replication and mitosis in Saccharomyces cerevisiae Rossio, Valentina Paulo, Joao A Data Brief Data Article Cell division is a highly regulated process that secures the generation of healthy progeny in all organisms, from yeast to human. Dysregulation of this process can lead to uncontrolled cell proliferation and genomic instability, both which are hallmarks of cancer. Cell cycle progression is dictated by a complex network of kinases and phosphatases. These enzymes act on their substrates in a highly specific temporal manner ensuring that the process of cell division is unidirectional and irreversible. Key events of the cell cycle, such as duplication of genetic material and its redistribution to daughter cells, occur in S-phase and mitosis, respectively. Deciphering the dynamics of phosphorylation/dephosphorylation events during these cell cycle phases is important. Here, we showcase a quantitative proteomic and phosphoproteomic mass spectrometry dataset that profiles both early and late phosphorylation events and associated proteome alterations that occur during S-phase and mitotic arrest in the model organism S. cerevisiae. This dataset is of broad interest as the molecular mechanisms governing cell cycle progression are conserved throughout evolution. The data has been deposited in ProteomeXchange with the dataset identifier PXD037291. Elsevier 2022-11-09 /pmc/articles/PMC9679744/ /pubmed/36425962 http://dx.doi.org/10.1016/j.dib.2022.108741 Text en © 2022 The Author(s) https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Data Article Rossio, Valentina Paulo, Joao A Quantitative proteome and phosphoproteome datasets of DNA replication and mitosis in Saccharomyces cerevisiae |
title | Quantitative proteome and phosphoproteome datasets of DNA replication and mitosis in Saccharomyces cerevisiae |
title_full | Quantitative proteome and phosphoproteome datasets of DNA replication and mitosis in Saccharomyces cerevisiae |
title_fullStr | Quantitative proteome and phosphoproteome datasets of DNA replication and mitosis in Saccharomyces cerevisiae |
title_full_unstemmed | Quantitative proteome and phosphoproteome datasets of DNA replication and mitosis in Saccharomyces cerevisiae |
title_short | Quantitative proteome and phosphoproteome datasets of DNA replication and mitosis in Saccharomyces cerevisiae |
title_sort | quantitative proteome and phosphoproteome datasets of dna replication and mitosis in saccharomyces cerevisiae |
topic | Data Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9679744/ https://www.ncbi.nlm.nih.gov/pubmed/36425962 http://dx.doi.org/10.1016/j.dib.2022.108741 |
work_keys_str_mv | AT rossiovalentina quantitativeproteomeandphosphoproteomedatasetsofdnareplicationandmitosisinsaccharomycescerevisiae AT paulojoaoa quantitativeproteomeandphosphoproteomedatasetsofdnareplicationandmitosisinsaccharomycescerevisiae |