Evidence map›Paper›PMID 21925380›Full record

ReviewMolecular cell2011

Engineering biological systems with synthetic RNA molecules.

Joe C Liang, Ryan J Bloom, Christina D Smolke

Abstract readReview
In one paragraph

Review in Molecular cell, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 85 papers.

0numbers the graph read from it
0cells of the map it votes in
85citing 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

85 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Solid Phase Chemical Synthesis of RNA.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  6. Article
  7. Datasets for Benchmarking RNA Design Algorithms.Methods in molecular biology (Clifton, N.J.) · 2025
    Article
  8. Artificial dynamic structure ensemble-guided rational design of a universal RNA aptamer-based sensing tag.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Review
  14. Article
  15. Review
  16. Article
  17. Review
  18. Modular and Versatile Trans-Encoded Genetic Switches.Angewandte Chemie (International ed. in English) · 2020
    Article
  19. Article
  20. Review

25 more citing papers are in PubMed but not listed here.

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

3 authors.

Joe C LiangDivision of Chemistry and Chemical Engineering, 1200 E. California Boulevard, MC 210-41, California Institute of Technology, Pasadena, CA 91125, USA.
Ryan J Bloom
Christina D Smolke

Funding

Frameworks for programming ligand-responsive RNA regulatory systemsR01GM086663 · NIGMS · STANFORD UNIVERSITY · PI ENDY, DREW · 2009 to 2024
$3.7M
Molecular platforms for the development of intelligent therapeutics targeted to dRC1GM091298 · NIGMS · STANFORD UNIVERSITY · PI SMOLKE, CHRISTINA D · 2009 to 2010
$1000k
NIGMS NIH HHS R01 GM086663NIGMS NIH HHS RC1 GM091298
6 · The paper itself

Abstract

RNA molecules play diverse functional roles in natural biological systems. There has been growing interest in designing synthetic RNA counterparts for programming biological function. The design of synthetic RNA molecules that exhibit diverse activities, including sensing, regulatory, information processing, and scaffolding activities, has highlighted the advantages of RNA as a programmable design substrate. Recent advances in implementing these engineered RNA molecules as key control elements in synthetic genetic networks are highlighting the functional relevance of this class of synthetic elements in programming cellular behaviors.

Indexed as

BiotechnologyGene Expression RegulationGenetic EngineeringModels, BiologicalModels, MolecularRNARNA

Identifiers

PMID21925380
PMCPMC3176441

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.