Evidence map›Paper›PMID 22827439›Full record

ArticleACS nano2012

Photonic gene circuits by optically addressable siRNA-Au nanoantennas.

Somin Eunice Lee, Darryl Y Sasaki, Younggeun Park, Ren Xu, James S Brennan, Mina J Bissell, Luke P Lee

Abstract read
In one paragraph

Article in ACS nano, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

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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

7 authors.

Somin Eunice LeeUCSF/UCB Joint Graduate Group in Bioengineering, Berkeley Sensor & Actuator Center, Department of Bioengineering, University of California-Berkeley, Berkeley, California, United States.
Darryl Y Sasaki
Younggeun Park
Ren Xu
James S Brennan
Mina J Bissell
Luke P Lee

Funding

NDC for the Optical Control of Biological FunctionPN2EY018241 · NEI · UNIVERSITY OF CALIFORNIA BERKELEY · PI ISACOFF, EHUD · 2006 to 2015
$37.5M
TRANS-NETWORK PROJECTSU54CA143836 · NCI · UNIVERSITY OF CALIFORNIA BERKELEY · PI LIPHARDT, JAN T. · 2009 to 2014
$15.1M
Nanoplasmonics-enabled Quantitative Spatiotemporal Activity Mapping in EngineeredF32EB013972 · NIBIB · UNIVERSITY OF CALIF-LAWRENC BERKELEY LAB · PI LEE, SOMIN · 2011 to 2012
$103k
NCI NIH HHS NCI U54CA143836NCI NIH HHS U54 CA143836NEI NIH HHS PN2 EY018241NIBIB NIH HHS F32 EB013972
6 · The paper itself

Abstract

The precise perturbation of gene circuits and the direct observation of signaling pathways in living cells are essential for both fundamental biology and translational medicine. Current optogenetic technology offers a new paradigm of optical control for cells; however, this technology relies on permanent genomic modifications with light-responsive genes, thus limiting dynamic reconfiguration of gene circuits. Here, we report precise control of perturbation and reconfiguration of gene circuits in living cells by optically addressable siRNA-Au nanoantennas. The siRNA-Au nanoantennas fulfill dual functions as selectively addressable optical receivers and biomolecular emitters of small interfering RNA (siRNA). Using siRNA-Au nanoantennas as optical inputs to existing circuit connections, photonic gene circuits are constructed in living cells. We show that photonic gene circuits are modular, enabling subcircuits to be combined on-demand. Photonic gene circuits open new avenues for engineering functional gene circuits useful for fundamental bioscience, bioengineering, and medical applications.

Indexed as

Gene Regulatory NetworksGenetic EngineeringGoldLightMaterials TestingNanostructuresRNA, Small InterferingGoldRNA, Small Interfering

Identifiers

PMID22827439
PMCPMC3458151

What OpenQuestion holds

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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.