Evidence map›Paper›PMID 21414477›Full record

ArticleCell2011

Informing biological design by integration of systems and synthetic biology.

Christina D Smolke, Pamela A Silver

Abstract read
In one paragraph

Article in Cell, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed.

  1. Review
  2. Modeling the Th17 and Tregs Paradigm: Implications for Cancer Immunotherapy.Frontiers in cell and developmental biology · 2021
    Review
  3. Article
  4. In vivo biosensors: mechanisms, development, and applications.Journal of industrial microbiology & biotechnology · 2018
    Article
  5. Review
  6. Biological production of L-malate: recent advances and future prospects.World journal of microbiology & biotechnology · 2017
    Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Mechanistic links between cellular trade-offs, gene expression, and growth.Proceedings of the National Academy of Sciences of the United States of America · 2015
    Article
  12. Review
  13. Article
  14. Article
  15. Realizing the potential of synthetic biology.Nature reviews. Molecular cell biology · 2014
    Review
  16. Article
  17. RNA modularity for synthetic biology.F1000prime reports · 2013
    Review
  18. Article
  19. Article
  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.

Christina D SmolkeDepartment of Bioengineering, Stanford University, 473 Via Ortega, Stanford, CA 94305-4201, USA. csmolke@stanford.edu
Pamela A Silver

Funding

Transport of Proteins In and Out of the NucleusR37GM036373 · NIGMS · HARVARD MEDICAL SCHOOL · PI SILVER, PAMELA A · 2003 to 2012
$4.3M
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 R37 GM036373NIGMS NIH HHS RC1 GM091298
6 · The paper itself

Abstract

Synthetic biology aims to make the engineering of biology faster and more predictable. In contrast, systems biology focuses on the interaction of myriad components and how these give rise to the dynamic and complex behavior of biological systems. Here, we examine the synergies between these two fields.

Indexed as

Synthetic BiologySystems BiologyComputer Simulation

Identifiers

PMID21414477
PMCPMC3173940

What OpenQuestion 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 OpenQuestion graph.