Evidence map›Paper›PMID 24794536›Full record

ReviewCurrent opinion in biotechnology2014

Synthetic analog and digital circuits for cellular computation and memory.

Oliver Purcell, Timothy K Lu

Abstract readReview
In one paragraph

Review in Current opinion in biotechnology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing 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

39 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Article
  6. A Genetic Circuit Design for Targeted Viral RNA Degradation.Bioengineering (Basel, Switzerland) · 2023
    Article
  7. Review
  8. Article
  9. Article
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  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Review
  17. Article
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  20. Review
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.

Oliver PurcellMIT Synthetic Biology Center, 500 Technology Square, Cambridge, MA 02139, USA; Department of Biological Engineering, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA 02139, USA.
Timothy K LuMIT Synthetic Biology Center, 500 Technology Square, Cambridge, MA 02139, USA; Department of Biological Engineering, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA 02139, USA; Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA 02139, USA. Electronic address: timlu@mit.edu.

Funding

MIT Center for Integrative Synthetic BiologyP50GM098792 · NIGMS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI WEISS, RON · 2013 to 2017
$11.0M
High-Throughput Nanoscale Approaches to Studying and Inhibiting Amyloid ToxicityDP2OD008435 · OD · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI LU, TIMOTHY · 2011 to 2011
$2.4M
NIGMS NIH HHS 1P50GM098792NIGMS NIH HHS P50 GM098792NIH HHS 1DP2OD008435NIH HHS DP2 OD008435
6 · The paper itself

Abstract

Biological computation is a major area of focus in synthetic biology because it has the potential to enable a wide range of applications. Synthetic biologists have applied engineering concepts to biological systems in order to construct progressively more complex gene circuits capable of processing information in living cells. Here, we review the current state of computational genetic circuits and describe artificial gene circuits that perform digital and analog computation. We then discuss recent progress in designing gene networks that exhibit memory, and how memory and computation have been integrated to yield more complex systems that can both process and record information. Finally, we suggest new directions for engineering biological circuits capable of computation.

Indexed as

Gene Regulatory NetworksAnimalsGenetic EngineeringHumansSynthetic Biology

Identifiers

PMID24794536
PMCPMC4237220

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Registered trials

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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.