Evidence map›Paper›PMID 27812193›Full record

ArticlePloS one2016

The Modular Adaptive Ribosome.

Anupama Yadav, Aparna Radhakrishnan, Anshuman Panda, Amartya Singh, Himanshu Sinha, Gyan Bhanot

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.0field-weighted citation impact, top 20% 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

10 citing papers in PubMed, 11 citations in OpenAlex.

  1. RiboScreenBiomedicines · 2026
    Review
  2. Article
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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

6 authors at 2 institutions in 2 countries.

Anupama YadavDepartment of Biological Sciences, Tata Institute of Fundamental Research, Mumbai, 400005, India.
Aparna RadhakrishnanDepartment of Biological Sciences, Tata Institute of Fundamental Research, Mumbai, 400005, India.
Anshuman PandaDepartment of Physics, Rutgers University, Piscataway, New Jersey 08854, United States of America.
Amartya SinghDepartment of Physics, Rutgers University, Piscataway, New Jersey 08854, United States of America.
Himanshu SinhaDepartment of Biological Sciences, Tata Institute of Fundamental Research, Mumbai, 400005, India.
Gyan BhanotDepartment of Physics, Rutgers University, Piscataway, New Jersey 08854, United States of America.
Rutgers, The State University of New Jersey · USTata Institute of Fundamental Research · IN

Funding

53BP1-Mediated Regulation of DNA Repair and ChemoresistanceR01CA169182 · NCI · UNIV OF MED/DENT NJ-R W JOHNSON MED SCH · PI GANESAN, SHRIDAR · 2012 to 2016
$1.6M
NCI NIH HHS R01 CA169182
6 · The paper itself

Abstract

The ribosome is an ancient machine, performing the same function across organisms. Although functionally unitary, recent experiments suggest specialized roles for some ribosomal proteins. Our central thesis is that ribosomal proteins function in a modular fashion to decode genetic information in a context dependent manner. We show through large data analyses that although many ribosomal proteins are essential with consistent effect on growth in different conditions in yeast and similar expression across cell and tissue types in mice and humans, some ribosomal proteins are used in an environment specific manner. The latter set of variable ribosomal proteins further function in a coordinated manner forming modules, which are adapted to different environmental cues in different organisms. We show that these environment specific modules of ribosomal proteins in yeast have differential genetic interactions with other pathways and their 5'UTRs show differential signatures of selection in yeast strains, presumably to facilitate adaptation. Similarly, we show that in higher metazoans such as mice and humans, different modules of ribosomal proteins are expressed in different cell types and tissues. A clear example is nervous tissue that uses a ribosomal protein module distinct from the rest of the tissues in both mice and humans. Our results suggest a novel stratification of ribosomal proteins that could have played a role in adaptation, presumably to optimize translation for adaptation to diverse ecological niches and tissue microenvironments.

Indexed as

AnimalsEvolution, MolecularHumansMicePhenotypeRibosomal ProteinsRibosomesSaccharomyces cerevisiaeRibosomal Proteins

Identifiers

PMID27812193
PMCPMC5094737
OpenAlexW2950974580

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.