Evidence map›Paper›PMID 30072377›Full record

ArticleGenetics2018

Uncovering Natural Longevity Alleles from Intercrossed Pools of Aging Fission Yeast Cells.

David A Ellis, Ville Mustonen, María Rodríguez-López, Charalampos Rallis, Michał Malecki, Daniel C Jeffares, Jürg Bähler

Open access · bronzeAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Genetics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.9field-weighted citation impact, top 33% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 11 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 1 country.

David A EllisDepartment of Genetics, Evolution and Environment and Institute of Healthy Ageing, University College London, WC1E 6BT, U.K.
Ville MustonenWellcome Trust Sanger Institute, Cambridge CB10 1SA, UK.
María Rodríguez-LópezDepartment of Genetics, Evolution and Environment and Institute of Healthy Ageing, University College London, WC1E 6BT, U.K.
Charalampos RallisDepartment of Genetics, Evolution and Environment and Institute of Healthy Ageing, University College London, WC1E 6BT, U.K.
Michał MaleckiDepartment of Genetics, Evolution and Environment and Institute of Healthy Ageing, University College London, WC1E 6BT, U.K.
Daniel C JeffaresDepartment of Genetics, Evolution and Environment and Institute of Healthy Ageing, University College London, WC1E 6BT, U.K.ORCID 0000-0001-7320-0706
Jürg BählerDepartment of Genetics, Evolution and Environment and Institute of Healthy Ageing, University College London, WC1E 6BT, U.K j.bahler@ucl.ac.uk.ORCID 0000-0003-4036-1532
University College London · GBWellcome Sanger Institute · GB

Funding

Biotechnology and Biological Sciences Research CouncilWellcome TrustWellcome Trust 095598/Z/11/Z
6 · The paper itself

Abstract

Quantitative traits often show large variation caused by multiple genetic factors . One such trait is the chronological lifespan of non-dividing yeast cells, serving as a model for cellular aging. Screens for genetic factors involved in aging typically assay mutants of protein-coding genes. To identify natural genetic variants contributing to cellular aging, we exploited two strains of the fission yeast,

Indexed as

AllelesCell Cycle ProteinsCell Growth ProcessesProtein Serine-Threonine KinasesSchizosaccharomycesSchizosaccharomyces pombe ProteinsSpermidineCell Cycle Proteinsmis12 protein, S pombeppk31 protein, S pombeProtein Serine-Threonine KinasesSchizosaccharomyces pombe ProteinsSpermidinecellular agingChronological lifespanquantitative traitSchizosaccharomyces pombespermidine metabolism

Identifiers

PMID30072377
PMCPMC6216586
OpenAlexW2809307228

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.