Evidence map›Paper›PMID 22962635›Full record

ArticleScientific reports2012

A programmable NOR-based device for transcription profile analysis.

Tom Ran, Yehonatan Douek, Lilach Milo, Ehud Shapiro

Abstract read
In one paragraph

Article in Scientific reports, 2012. 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
  2. Article
  3. Article
  4. Transplantation of prokaryotic two-component signaling pathways into mammalian cells.Proceedings of the National Academy of Sciences of the United States of America · 2014
    Article
  5. Review
  6. Article
  7. The biological microprocessor, or how to build a computer with biological parts.Computational and structural biotechnology journal · 2013
    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

4 authors.

Tom RanDepartment of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot 76100, Israel.
Yehonatan Douek
Lilach Milo
Ehud Shapiro

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

An autonomous synthetic programmable device that can diagnose a cell's state according to predefined markers and produce a corresponding therapeutic output may be the basis of future programmable drugs. Motivated to increase diagnosis precision, devices that integrate multiple disease markers have been implemented based on various molecular tools. As simplicity is key to future in-vivo applications, we sought a molecular device that a) integrates multiple inputs without requiring pairwise interactions, and b) harnesses only mechanisms that cells natively use. Here we show a synthetic NOR-based programmable device, operating via a biochemical obstructing approach rather than on a constructive approach, capable of differentiating between prokaryotic cell strains based on their unique expression profile. To demonstrate our system's strengths we further implemented the NOT, OR and AND gates. The device's programmability allows context-dependent selection of the inputs being sensed, and of the expressed output, thus, holding great promise in future biomedical applications.

Indexed as

Escherichia coliEscherichia coli ProteinsGene Expression ProfilingGene Expression Regulation, BacterialGenes, ReporterGreen Fluorescent ProteinsPromoter Regions, GeneticReagent Kits, DiagnosticTranscription FactorsTranscriptomeEscherichia coli ProteinsGreen Fluorescent ProteinsReagent Kits, DiagnosticTranscription Factors

Identifiers

PMID22962635
PMCPMC3435560

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.