Evidence map›Paper›PMID 21685361›Full record

ReviewGenes & development2011

Biological mechanisms, one molecule at a time.

Ignacio Tinoco, Ruben L Gonzalez

Abstract readReview
In one paragraph

Review in Genes & development, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers.

0numbers the graph read from it
0cells of the map it votes in
56citing papers in PubMed
–field-weighted citation impact
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

56 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Increasing the accuracy of single-molecule data analysis using tMAVEN.bioRxiv : the preprint server for biology · 2024
    Article
  11. Review
  12. Entropic control of the free-energy landscape of an archetypal biomolecular machine.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Review
  18. Article
  19. Single-Molecule Analysis of Reverse Transcriptase Enzymes.Cold Spring Harbor perspectives in biology · 2019
    Review
  20. 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.

Ignacio TinocoDepartment of Chemistry, University of California at Berkeley, USA.
Ruben L Gonzalez

Funding

STRUCTURE AND FUNCTION OF NUCLEIC ACIDSR01GM010840 · NIGMS · UNIVERSITY OF CALIFORNIA BERKELEY · PI TINOCO, IGNACIO · 1985 to 2015
$7.1M
The Structural Dynamics of Translation InitiationR01GM084288 · NIGMS · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI GONZALEZ, RUBEN L · 2009 to 2022
$4.4M
NIGMS NIH HHS R01 GM010840NIGMS NIH HHS R01 GM084288NIGMS NIH HHS R01 GM10840
6 · The paper itself

Abstract

The last 15 years have witnessed the development of tools that allow the observation and manipulation of single molecules. The rapidly expanding application of these technologies for investigating biological systems of ever-increasing complexity is revolutionizing our ability to probe the mechanisms of biological reactions. Here, we compare the mechanistic information available from single-molecule experiments with the information typically obtained from ensemble studies and show how these two experimental approaches interface with each other. We next present a basic overview of the toolkit for observing and manipulating biology one molecule at a time. We close by presenting a case study demonstrating the impact that single-molecule approaches have had on our understanding of one of life's most fundamental biochemical reactions: the translation of a messenger RNA into its encoded protein by the ribosome.

Indexed as

Molecular BiologyAnimalsHumansProtein BiosynthesisRibosomesSpectrometry, FluorescenceSpectrum AnalysisTime Factors

Identifiers

PMID21685361
PMCPMC3127425

What OpenQuestion holds

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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.