Evidence map›Paper›PMID 23323846›Full record

ArticleNano letters2013

Dissecting single-molecule signal transduction in carbon nanotube circuits with protein engineering.

Yongki Choi, Tivoli J Olsen, Patrick C Sims, Issa S Moody, Brad L Corso, Mytrang N Dang, Gregory A Weiss, Philip G Collins

Abstract read
In one paragraph

Article in Nano letters, 2013. 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. Article
  2. Single-Molecule Electrical Profiling of Peptides and Proteins.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    Review
  3. Article
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  9. Review
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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

8 authors.

Yongki ChoiDepartment of Physics and Astronomy, University of California, Irvine, California 92697, USA.
Tivoli J Olsen
Patrick C Sims
Issa S Moody
Brad L Corso
Mytrang N Dang
Gregory A Weiss
Philip G Collins

Funding

CARCINOGENESIST32CA009054 · NCI · UNIVERSITY OF CALIFORNIA-IRVINE · PI EDINGER, AIMEE L, FRUMAN, DAVID ALEXANDER · 1985 to 2025
$8.6M
Single Molecule Enzymology with Carbon NanocircuitsR01CA133592 · NCI · UNIVERSITY OF CALIFORNIA-IRVINE · PI WEISS, GREGORY A. · 2008 to 2012
$1.2M
NCI NIH HHS R01 CA133592NCI NIH HHS R01 CA133592-01NCI NIH HHS T32 CA009054
6 · The paper itself

Abstract

Single-molecule experimental methods have provided new insights into biomolecular function, dynamic disorder, and transient states that are all invisible to conventional measurements. A novel, nonfluorescent single-molecule technique involves attaching single molecules to single-walled carbon nanotube field-effective transistors (SWNT FETs). These ultrasensitive electronic devices provide long-duration, label-free monitoring of biomolecules and their dynamic motions. However, generalization of the SWNT FET technique first requires design rules that can predict the success and applicability of these devices. Here, we report on the transduction mechanism linking enzymatic processivity to electrical signal generation by a SWNT FET. The interaction between SWNT FETs and the enzyme lysozyme was systematically dissected using eight different lysozyme variants synthesized by protein engineering. The data prove that effective signal generation can be accomplished using a single charged amino acid, when appropriately located, providing a foundation to widely apply SWNT FET sensitivity to other biomolecular systems.

Indexed as

Protein EngineeringSignal TransductionModels, MolecularMuramidaseNanotubes, CarbonTransistors, ElectronicMuramidaseNanotubes, Carbon

Identifiers

PMID23323846
PMCPMC3575522

What OpenQuestion holds

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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.