Recent Developments in Yeast Aging
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{"title"=>"Recent developments in yeast aging", "type"=>"generic", "authors"=>[{"first_name"=>"Matt", "last_name"=>"Kaeberlein", "scopus_author_id"=>"6602710772"}, {"first_name"=>"Christopher R.", "last_name"=>"Burtner", "scopus_author_id"=>"6602942777"}, {"first_name"=>"Brian K.", "last_name"=>"Kennedy", "scopus_author_id"=>"26643504400"}], "year"=>2007, "source"=>"PLoS Genetics", "identifiers"=>{"pui"=>"46833944", "isbn"=>"1553-7404 (Electronic)", "issn"=>"15537390", "doi"=>"10.1371/journal.pgen.0030084", "scopus"=>"2-s2.0-34249718464", "pmid"=>"17530929", "sgr"=>"34249718464"}, "id"=>"5b437c42-3e3e-3071-9840-f8a4e98845d0", "abstract"=>"In the last decade, research into the molecular determinants of aging has progressed rapidly and much of this progress can be attributed to studies in invertebrate eukaryotic model organisms. Of these, single-celled yeast is the least complicated and most amenable to genetic and molecular manipulations. Supporting the use of this organism for aging research, increasing evidence has accumulated that a subset of pathways influencing longevity in yeast are conserved in other eukaryotes, including mammals. Here we briefly outline aging in yeast and describe recent findings that continue to keep this \"simple\" eukaryote at the forefront of aging research.", "link"=>"http://www.mendeley.com/research/recent-developments-yeast-aging", "reader_count"=>291, "reader_count_by_academic_status"=>{"Unspecified"=>4, "Professor > Associate Professor"=>20, "Researcher"=>56, "Student > Doctoral Student"=>14, "Student > Ph. D. Student"=>76, "Student > Postgraduate"=>11, "Student > Master"=>52, "Other"=>6, "Student > Bachelor"=>37, "Lecturer"=>2, "Lecturer > Senior Lecturer"=>1, "Professor"=>12}, "reader_count_by_user_role"=>{"Unspecified"=>4, "Professor > Associate Professor"=>20, "Researcher"=>56, "Student > Doctoral Student"=>14, "Student > Ph. D. Student"=>76, "Student > Postgraduate"=>11, "Student > Master"=>52, "Other"=>6, "Student > Bachelor"=>37, "Lecturer"=>2, "Lecturer > Senior Lecturer"=>1, "Professor"=>12}, "reader_count_by_subject_area"=>{"Unspecified"=>8, "Agricultural and Biological Sciences"=>205, "Arts and Humanities"=>1, "Business, Management and Accounting"=>1, "Chemical Engineering"=>1, "Chemistry"=>5, "Computer Science"=>4, "Engineering"=>3, "Environmental Science"=>1, "Biochemistry, Genetics and Molecular Biology"=>44, "Nursing and Health Professions"=>1, "Mathematics"=>1, "Medicine and Dentistry"=>7, "Neuroscience"=>4, "Physics and Astronomy"=>2, "Immunology and Microbiology"=>2, "Pharmacology, Toxicology and Pharmaceutical Science"=>1}, "reader_count_by_subdiscipline"=>{"Medicine and Dentistry"=>{"Medicine and Dentistry"=>7}, "Physics and Astronomy"=>{"Physics and Astronomy"=>2}, "Mathematics"=>{"Mathematics"=>1}, "Unspecified"=>{"Unspecified"=>8}, "Environmental Science"=>{"Environmental Science"=>1}, "Pharmacology, Toxicology and Pharmaceutical Science"=>{"Pharmacology, Toxicology and Pharmaceutical Science"=>1}, "Chemical Engineering"=>{"Chemical Engineering"=>1}, "Arts and Humanities"=>{"Arts and Humanities"=>1}, "Engineering"=>{"Engineering"=>3}, "Chemistry"=>{"Chemistry"=>5}, "Neuroscience"=>{"Neuroscience"=>4}, "Immunology and Microbiology"=>{"Immunology and Microbiology"=>2}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>205}, "Computer Science"=>{"Computer Science"=>4}, "Business, Management and Accounting"=>{"Business, Management and Accounting"=>1}, "Nursing and Health Professions"=>{"Nursing and Health Professions"=>1}, "Biochemistry, Genetics and Molecular Biology"=>{"Biochemistry, Genetics and Molecular Biology"=>44}}, "reader_count_by_country"=>{"United States"=>12, "United Kingdom"=>4, "Portugal"=>1, "India"=>2, "Spain"=>2, "Canada"=>1, "Turkey"=>2, "Belgium"=>1, "China"=>1, "Brazil"=>1, "Mexico"=>2, "Italy"=>1, "Slovakia"=>1, "Israel"=>1, "France"=>1, "Germany"=>3}, "group_count"=>8}

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Figshare

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  • {"files"=>["https://ndownloader.figshare.com/files/949629"], "description"=>"<div><p>(A) RLS in yeast is measured by the number of mitotic divisions that can arise from a single mother cell. Replicative viability is calculated as the mean number of daughters produced from mothers of a particular strain background before senescence.</p><p>(B) CLS is measured by the length of time cells in a stationary culture can remain viable. Viability is calculated by the fraction of the culture able to reenter the cell cycle after an extended state of quiescence.</p></div>", "links"=>[], "tags"=>["yeast", "replicative", "chronological"], "article_id"=>619949, "categories"=>["Molecular Biology", "Medicine", "Genetics", "Cell Biology"], "users"=>["Matt Kaeberlein", "Christopher R Burtner", "Brian K Kennedy"], "doi"=>"https://dx.doi.org/10.1371/journal.pgen.0030084.g001", "stats"=>{"downloads"=>5, "page_views"=>103, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Schematic_for_Yeast_Replicative_and_Chronological_Aging_/619949", "title"=>"Schematic for Yeast Replicative and Chronological Aging", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-02-21 12:27:31"}

PMC Usage Stats | Further Information

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  • {"unique-ip"=>"35", "full-text"=>"40", "pdf"=>"7", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"4", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2018", "month"=>"9"}
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Relative Metric

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