Evidence map›Paper›PMID 28451847›Full record

ReviewCurrent genetics2017

Ribosome profiling the cell cycle: lessons and challenges.

Rodolfo Aramayo, Michael Polymenis

Open access · greenAbstract readReview
In one paragraph

Review in Current genetics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.1field-weighted citation impact, top 23% 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

16 citing papers in PubMed, 31 citations in OpenAlex.

  1. Article
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  13. GWIPS-viz: 2018 update.Nucleic acids research · 2018
    Article
  14. Following Ribosome Footprints to Understand Translation at a Genome Wide Level.Computational and structural biotechnology journal · 2018
    Review
  15. Article
  16. Effects of Low Dose Neutron-Gamma Field on Cell Cycle and Damage of Human Lymphocytes.Dose-response : a publication of International Hormesis Society
    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

2 authors at 1 institution in 1 country.

Rodolfo AramayoDepartment of Biology, Texas A&M University, College Station, TX, 77845, USA. raramayo@tamu.edu.
Michael PolymenisDepartment of Biochemistry and Biophysics, Texas A&M University, College Station, TX, 77845, USA. polymenis@tamu.edu.
Texas A&M University · US

Funding

Coupling Of Protein Synthesis With Cell DivisionR01GM123139 · NIGMS · TEXAS A&M AGRILIFE RESEARCH · PI POLYMENIS, MICHAEL S · 2017 to 2024
$2.9M
NIGMS NIH HHS R01 GM123139
6 · The paper itself

Abstract

Understanding the causes and consequences of dynamic changes in the abundance and activity of cellular components during cell division is what most cell cycle studies are about. Here we focus on control of gene expression in the cell cycle at the level of translation. The advent of deep sequencing methodologies led to technologies that quantify the levels of all mRNAs that are bound by ribosomes and engaged in translation in the cell (Ingolia et al. Science 324:218-223, 2009). This approach has been applied recently to synchronous cell populations to find transcripts under translational control at different cell cycle phases (Blank et al. EMBO J 36:487-502, 2017; Stumpf et al. Mol Cell 52:574-582, 2013; Tanenbaum et al. Elife 4:e07957, 2015). These studies revealed new biology, but they also have limitations, pointing to challenges that need to be addressed in the future.

Indexed as

Protein BiosynthesisCell Cycle CheckpointsCell DivisionCyclinsEukaryotic CellsGene Expression ProfilingHigh-Throughput Nucleotide SequencingHumansRibosomesRNA, MessengerSaccharomyces cerevisiaeCyclinsRNA, MessengerAnotaBabelElutriationTranslational efficiency

Identifiers

PMID28451847
PMCPMC5790165
OpenAlexW2609887689

What Socratic holds

Textmetadata
LicenceTDM
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 Socratic graph.