Evidence map›Paper›PMID 22610697›Full record

ArticleAge (Dordrecht, Netherlands)2013

Molecular characterization of the transition to mid-life in Caenorhabditis elegans.

D Mark Eckley, Salim Rahimi, Sandra Mantilla, Nikita V Orlov, Christopher E Coletta, Mark A Wilson, Wendy B Iser, John D Delaney, Yongqing Zhang, William Wood and 3 more

Open access · bronzeAbstract readComparative Study
In one paragraph

Article in Age (Dordrecht, Netherlands), 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.2field-weighted citation impact, top 54% 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

9 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Article
  3. Transcriptome States Reflect Imaging of Aging States.The journals of gerontology. Series A, Biological sciences and medical sciences · 2018
    Article
  4. TheG3 (Bethesda, Md.) · 2017
    Article
  5. Article
  6. Cockayne syndrome group A and B proteins converge on transcription-linked resolution of non-B DNA.Proceedings of the National Academy of Sciences of the United States of America · 2016
    Article
  7. Article
  8. Article
  9. Article
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

13 authors at 2 institutions in 1 country.

D Mark EckleyImage Informatics and Computational Biology Unit, Laboratory of Genetics, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA.
Salim Rahimi
Sandra Mantilla
Nikita V Orlov
Christopher E Coletta
Mark A Wilson
Wendy B Iser
John D Delaney
Yongqing Zhang
William Wood
Kevin G Becker
Catherine A Wolkow
Ilya G Goldberg
National Institutes of Health · USNational Institute on Aging · US

Funding

Analysis of complex biological systems by microarray based gene expressionZICAG000616 · NIA · NATIONAL INSTITUTE ON AGING · PI DE, SUPRIYO · 2009 to 2025
$15.5M
Quantitative morphology of induced phenotypes in cultured cells and tissuesZIAAG000674 · NIA · NATIONAL INSTITUTE ON AGING · PI GOLDBERG, ILYA · 2012 to 2016
$1.9M
Intramural NIH HHS
6 · The paper itself

Abstract

We present an initial molecular characterization of a morphological transition between two early aging states. In previous work, an age score reflecting physiological age was developed using a machine classifier trained on images of worm populations at fixed chronological ages throughout their lifespan. The distribution of age scores identified three stable post-developmental states and transitions. The first transition occurs at day 5 post-hatching, where a significant percentage of the population exists in both state I and state II. The temperature dependence of the timing of this transition (Q 10 ~ 1.17) is too low to be explained by a stepwise process with an enzymatic or chemical rate-limiting step, potentially implicating a more complex mechanism. Individual animals at day 5 were sorted into state I and state II groups using the machine classifier and analyzed by microarray expression profiling. Despite being isogenic, grown for the same amount of time, and indistinguishable by eye, these two morphological states were confirmed to be molecularly distinct by hierarchical clustering and principal component analysis of the microarray results. These molecular differences suggest that pharynx morphology reflects the aging state of the whole organism. Our expression profiling yielded a gene set that showed significant overlap with those from three previous age-related studies and identified several genes not previously implicated in aging. A highly represented group of genes unique to this study is involved in targeted ubiquitin-mediated proteolysis, including Skp1-related (SKR), F-box-containing, and BTB motif adaptors.

Indexed as

AgingAnimalsCaenorhabditis elegansCaenorhabditis elegans ProteinsCell Cycle ProteinsCullin ProteinsOligonucleotide Array Sequence AnalysisCaenorhabditis elegans ProteinsCell Cycle ProteinsCullin Proteins

Identifiers

PMID22610697
PMCPMC3636400
OpenAlexW2065189848

What OpenQuestion holds

Textmetadata
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.