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Cited by 3Genomics and Chromatin DynamicsFungal and yeast genetics researchMicrotubule and mitosis dynamics

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

TrIPP—a method for tracking the inheritance patterns of proteins in living cells—reveals retention of Tup1p, Fpr4p, and Rpd3L in the mother cell

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Auboiron, Morgane, Vasseur, Pauline, Tonazzini, Saphia, Fall, Arame, Castro, Francesc Rubert, Sučec, Iva, El Koulali, Khadija, Urbach, Serge, Radman-Livaja, Marta·2021·iScience
DOI 10.1016/j.isci.2021.102075PMC PMC7889982

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Abstract

Inheritance of chromatin-bound proteins theoretically plays a role in the epigenetic transmission of cellular phenotypes. Protein segregation during cell division is however poorly understood. We now describe TrIPP (Tracking the Inheritance Patterns of Proteins): a live cell imaging method for tracking maternal proteins during asymmetric cell divisions of budding yeast. Our analysis of the partitioning pattern of a test set of 18 chromatin-associated proteins reveals that abundant and moderately abundant maternal proteins segregate stochastically and symmetrically between the two cells with the exception of Rxt3p, Fpr4p, and Tup1p, which are preferentially retained in the mother. Low abundance proteins also tend to be retained in the mother cell with the exception of Sir2p and the linker histone H1. Our analysis of chromatin protein behavior in single cells reveals potentially general trends such as coupled protein synthesis and decay and a correlation between protein half-lives and cell-cycle duration.

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Research works printed but not linked: 27

  1. Alber, 2018, Single live cell monitoring of protein turnover reveals Intercellular variability and cell-cycle dependence of degradation rates, Mol. Cell, 71, 1079, 10.1016/j.molcel.2018.07.023 · DOI
  2. Christiano, 2014, Global proteome turnover analyses of the Yeasts S. cerevisiae and S. pombe, Cell Rep., 9, 1959, 10.1016/j.celrep.2014.10.065 · DOI · Paper page
  3. Denoth-Lippuner, 2014, Role of SAGA in the asymmetric segregation of DNA circles during yeast ageing, Elife, 3, e03790, 10.7554/eLife.03790 · DOI
  4. Garcia Del Arco, 2018, In vivo analysis of centromeric proteins reveals a stem cell-specific asymmetry and an essential role in differentiated, non-proliferating cells, Cell Rep., 22, 1982, 10.1016/j.celrep.2018.01.079 · DOI
  5. Hendrickson, 2018, A new experimental platform facilitates assessment of the transcriptional and chromatin landscapes of aging yeast, Elife, 7, e39911, 10.7554/eLife.39911 · DOI · Paper page
  6. Hotz, 2012, Spindle pole bodies exploit the mitotic exit network in metaphase to drive their age-dependent segregation, Cell, 148, 958, 10.1016/j.cell.2012.01.041 · DOI
  7. Khmelinskii, 2012, Tandem fluorescent protein timers for in vivo analysis of protein dynamics, Nat. Biotechnol., 30, 708, 10.1038/nbt.2281 · DOI
  8. Kornitzer, 2002, Monitoring protein degradation, Methods Enzymol., 351, 639, 10.1016/S0076-6879(02)51874-7 · DOI
  9. Lee, 2018, Rpd3L HDAC links H3K4me3 to transcriptional repression memory, Nucleic Acids Res., 46, 8261, 10.1093/nar/gky573 · DOI
  10. Lim, 2011, Optically sectioned in vivo imaging with speckle illumination HiLo microscopy, J. Biomed. Opt., 8, 016014
  11. Luger, 1997, Crystal structure of the nucleosome core particle at 2.8 A resolution, Nature, 389, 251, 10.1038/38444 · DOI · Paper page
  12. McShane, 2016, Kinetic analysis of protein stability reveals age-dependent degradation, Cell, 167, 803, 10.1016/j.cell.2016.09.015 · DOI
  13. Nehlin, 1991, Control of yeast GAL genes by MIG1 repressor: a transcriptional cascade in the glucose response, EMBO J., 10, 3373, 10.1002/j.1460-2075.1991.tb04901.x · DOI
  14. Nelson, 2006, Proline isomerization of histone H3 regulates lysine methylation and gene expression, Cell, 126, 905, 10.1016/j.cell.2006.07.026 · DOI
  15. Papamichos-Chronakis, 2004, The Snf1 kinase controls glucose repression in yeast by modulating interactions between the Mig1 repressor and the Cyc8-Tup1 co-repressor, EMBO Rep., 5, 368, 10.1038/sj.embor.7400120 · DOI
  16. Petruk, 2012, TrxG and PcG proteins but not methylated histones remain associated with DNA through replication, Cell, 150, 922, 10.1016/j.cell.2012.06.046 · DOI
  17. Proft, 2002, Hog1 kinase converts the Sko1-Cyc8-Tup1 repressor complex into an activator that recruits SAGA and SWI/SNF in response to osmotic stress, Mol. Cell, 9, 1307, 10.1016/S1097-2765(02)00557-9 · DOI
  18. Schwanhausser, 2013, Corrigendum: global quantification of mammalian gene expression control, Nature, 495, 126, 10.1038/nature11848 · DOI
  19. Smith, 2000, Turning genes off by Ssn6-Tup1: a conserved system of transcriptional repression in eukaryotes, Trends Biochem. Sci., 25, 325, 10.1016/S0968-0004(00)01592-9 · DOI
  20. Sood, 2017, Epigenetic transcriptional memory of GAL genes depends on growth in glucose and the Tup1 transcription factor in Saccharomyces cerevisiae, Genetics, 206, 1895, 10.1534/genetics.117.201632 · DOI
  21. Stagge, 2013, SNAP-, CLIP- and Halo-tag labelling of budding yeast cells, PLoS one, 8, e78745, 10.1371/journal.pone.0078745 · DOI
  22. Steinkraus, 2008, Replicative aging in yeast: the means to the end, Annu. Rev. Cell Dev. Biol., 24, 29, 10.1146/annurev.cellbio.23.090506.123509 · DOI
  23. Sugiyama, 2019, Distinct segregation patterns of yeast cell-peripheral proteins uncovered by a method for protein segregatome analysis, Proc. Natl. Acad. Sci. U S A, 116, 8909, 10.1073/pnas.1819715116 · DOI
  24. Thayer, 2014, Identification of long-lived proteins retained in cells undergoing repeated asymmetric divisions, Proc. Natl. Acad. Sci. U S A, 111, 14019, 10.1073/pnas.1416079111 · DOI
  25. Wang, 2017, DNA sequence-dependent epigenetic inheritance of gene silencing and histone H3K9 methylation, Science, 356, 88, 10.1126/science.aaj2114 · DOI
  26. Yang, 2015, Systematic analysis of asymmetric partitioning of yeast proteome between mother and daughter cells reveals "aging factors" and mechanism of lifespan asymmetry, Proc. Natl. Acad. Sci. U S A, 112, 11977, 10.1073/pnas.1506054112 · DOI
  27. Zacharioudakis, 2007, A yeast catabolic enzyme controls transcriptional memory, Curr. Biol., 17, 2041, 10.1016/j.cub.2007.10.044 · DOI

Metadata

Authors
Auboiron, M., Vasseur, P., Tonazzini, S., Fall, A., Castro, F. R., Sučec, I., El Koulali, K., Urbach, S., & Radman-Livaja, M.
Affiliations
Centre National de la Recherche Scientifique (FR)
ORCID
Venue
iScience
Publisher
Elsevier BV
Published
2021-02
Volume
24
Issue
2
Pages
102075
ISSN
2589-0042 (ISSN-L)
DOI
10.1016/j.isci.2021.102075
PMC
PMC7889982
OpenAlex
W3124903243
Cited by
3
References
3
Citations by year
2023: 1 · 2021: 1
FWCI
0.16
Type
journal article
Language
en
Open access
Licence
Locations
  • iScience (publishedVersion, cc-by-nc-nd)
  • bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion)
  • PubMed Central (publishedVersion, cc-by-nc-nd)
  • PubMed (publishedVersion)
  • HAL (submittedVersion, other-oa)
  • HAL (submittedVersion, cc-by-nc-nd)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
  • Labex
  • Université de Montpellier
  • Agence Nationale de la Recherche
  • LabEx ASLAN
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Chromatin Dynamics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Fungal and yeast genetics research
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Cell Biology › Microtubule and mitosis dynamics
Keywords
asymmetric cell division, chromatin proteins, epigenetic inheritance, Saccharomyces cerevisiae, live-cell imaging, Sir2p, histone H1, protein half-life, cell cycle duration

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