Evidence map›Paper›PMID 38302088›Full record

ArticleProtein engineering, design & selection : PEDS2024

Interactive computational and experimental approaches improve the sensitivity of periplasmic binding protein-based nicotine biosensors for measurements in biofluids.

Nandan Haloi, Shan Huang, Aaron L Nichols, Eve J Fine, Nicholas J Friesenhahn, Christopher B Marotta, Dennis A Dougherty, Erik Lindahl, Rebecca J Howard, Stephen L Mayo and 1 more

Open access · bronzeAbstract read
In one paragraph

Article in Protein engineering, design & selection : PEDS, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.4field-weighted citation impact, top 22% of its field
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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Continuous Nicotine Monitors for Personal Nicotine Pharmacokinetics: A Receptor-Aware Research Agenda.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2025
    Review
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 3 institutions in 2 countries.

Nandan HaloiDepartment of Applied Physics, Science for Life Laboratory, KTH Royal Institute of Technology, Stockholm 10044, Sweden.
Shan HuangDivision of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA 91125, USA.
Aaron L NicholsDivision of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA 91125, USA.
Eve J FineDivision of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA 91125, USA.
Nicholas J FriesenhahnDivision of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, CA 91125, USA.ORCID 0000-0002-8129-0171
Christopher B MarottaDivision of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, CA 91125, USA.
Dennis A DoughertyDivision of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, CA 91125, USA.
Erik LindahlDepartment of Applied Physics, Science for Life Laboratory, KTH Royal Institute of Technology, Stockholm 10044, Sweden.
Rebecca J HowardDepartment of Biochemistry and Biophysics, Science for Life Laboratory, Stockholm University, Stockholm 10691, Sweden.
Stephen L MayoDivision of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA 91125, USA.ORCID 0000-0002-9785-5018
Henry A LesterDivision of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA 91125, USA.ORCID 0000-0002-5470-5255
California Institute of Technology · USStockholm University · SEScience for Life Laboratory · SE

Funding

Fluorescent biosensors for subcellular pharmacokineticsR01GM123582 · NIGMS · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI LESTER, HENRY A. · 2016 to 2021
$3.8M
Opioids inside OrganellesR21DA049140 · NIDA · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI LESTER, HENRY A. · 2019 to 2020
$452k
NIDA NIH HHS DA049140NIDA NIH HHS R21 DA049140NIGMS NIH HHS GM-123582NIGMS NIH HHS R01 GM123582
6 · The paper itself

Abstract

We developed fluorescent protein sensors for nicotine with improved sensitivity. For iNicSnFR12 at pH 7.4, the proportionality constant for ∆F/F0vs [nicotine] (δ-slope, 2.7 μM-1) is 6.1-fold higher than the previously reported iNicSnFR3a. The activated state of iNicSnFR12 has a fluorescence quantum yield of at least 0.6. We measured similar dose-response relations for the nicotine-induced absorbance increase and fluorescence increase, suggesting that the absorbance increase leads to the fluorescence increase via the previously described nicotine-induced conformational change, the 'candle snuffer' mechanism. Molecular dynamics (MD) simulations identified a binding pose for nicotine, previously indeterminate from experimental data. MD simulations also showed that Helix 4 of the periplasmic binding protein (PBP) domain appears tilted in iNicSnFR12 relative to iNicSnFR3a, likely altering allosteric network(s) that link the ligand binding site to the fluorophore. In thermal melt experiments, nicotine stabilized the PBP of the tested iNicSnFR variants. iNicSnFR12 resolved nicotine in diluted mouse and human serum at 100 nM, the peak [nicotine] that occurs during smoking or vaping, and possibly at the decreasing levels during intervals between sessions. NicSnFR12 was also partially activated by unidentified endogenous ligand(s) in biofluids. Improved iNicSnFR12 variants could become the molecular sensors in continuous nicotine monitors for animal and human biofluids.

Indexed as

Biosensing TechniquesPeriplasmic Binding ProteinsAnimalsBinding SitesHumansLigandsMiceNicotineLigandsNicotinePeriplasmic Binding ProteinsabsorptionbiosensorcomputationfluorescenceiNicSnFR

Identifiers

PMID38302088
PMCPMC10896302
OpenAlexW4391463604

What OpenQuestion holds

Textmetadata
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.