Evidence map›Paper›PMID 24694115›Full record

ArticleACS synthetic biology2014

Biological 2-input decoder circuit in human cells.

Michael Guinn, Leonidas Bleris

Abstract read
In one paragraph

Article in ACS synthetic biology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
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  3. Review
  4. 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

2 authors.

Michael GuinnBioengineering Department, The University of Texas at Dallas , 800 West Campbell Road, Richardson, Texas 75080, United States.
Leonidas Bleris

Funding

BETA-TUBULIN GENE FUNCTION IN ASPERGILLUS NIDULANSF32GM009627 · NIGMS · UNIV OF MED/DENT NJ-R W JOHNSON MED SCH · PI MAY, GREGORY S. · 1985 to 1986
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NIGMS NIH HHS R15GM09627
6 · The paper itself

Abstract

Decoders are combinational circuits that convert information from n inputs to a maximum of 2(n) outputs. This operation is of major importance in computing systems yet it is vastly underexplored in synthetic biology. Here, we present a synthetic gene network architecture that operates as a biological decoder in human cells, converting 2 inputs to 4 outputs. As a proof-of-principle, we use small molecules to emulate the two inputs and fluorescent reporters as the corresponding four outputs. The experiments are performed using transient transfections in human kidney embryonic cells and the characterization by fluorescence microscopy and flow cytometry. We show a clear separation between the ON and OFF mean fluorescent intensity states. Additionally, we adopt the integrated mean fluorescence intensity for the characterization of the circuit and show that this metric is more robust to transfection conditions when compared to the mean fluorescent intensity. To conclude, we present the first implementation of a genetic decoder. This combinational system can be valuable toward engineering higher-order circuits as well as accommodate a multiplexed interface with endogenous cellular functions.

Indexed as

Gene Regulatory NetworksGenes, SyntheticCells, CulturedFluorescent DyesGreen Fluorescent ProteinsHumansKidneyModels, TheoreticalPromoter Regions, GeneticSynthetic BiologyFluorescent DyesGreen Fluorescent Proteins

Identifiers

PMID24694115
PMCPMC4165469

What OpenQuestion holds

Textmetadata
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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.