Evidence map›Paper›PMID 33633410›Full record

ArticleNature methods2021

A fast, high-affinity fluorescent serotonin biosensor engineered from a tick lipocalin.

Shen Zhang, Xinyu Li, Shengyu Zhao, Mikhail Drobizhev, Hui-Wang Ai

RetractedAbstract readRetracted Publication
PubMed Publisher
In one paragraph

Article in Nature methods, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.0field-weighted citation impact, top 12% 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

4 citing papers in PubMed, 10 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 1 country.

Shen Zhang *Center for Membrane and Cell Physiology, University of Virginia, Charlottesville, VA, USA.ORCID http://orcid.org/0000-0003-1945-0450
Xinyu Li *Center for Membrane and Cell Physiology, University of Virginia, Charlottesville, VA, USA.
Shengyu ZhaoCenter for Membrane and Cell Physiology, University of Virginia, Charlottesville, VA, USA.
Mikhail DrobizhevDepartment of Microbiology and Immunology, Montana State University, Bozeman, MT, USA.
Hui-Wang AiCenter for Membrane and Cell Physiology, University of Virginia, Charlottesville, VA, USA. huiwang.ai@virginia.edu.ORCID http://orcid.org/0000-0002-5664-3270
University of Virginia · USMontana State University · US

Funding

Red and Far-Red Fluorescent Biosensors for Compartmentalized Redox SignalingR01GM129291 · NIGMS · UNIVERSITY OF VIRGINIA · PI AI, HUIWANG · 2018 to 2021
$2.1M
An Integrated Fluorescent Biosensor, Imaging, and Analysis Toolkit for Islet BiologicsR01DK122253 · NIDDK · UNIVERSITY OF VIRGINIA · PI AI, HUIWANG · 2020 to 2023
$1.6M
A Fluorescent Toolkit for Imaging Reactive Oxygen Species (ROS)R01GM118675 · NIGMS · UNIVERSITY OF VIRGINIA · PI AI, HUIWANG · 2016 to 2019
$1.4M
NIDDK NIH HHS R01 DK122253NIGMS NIH HHS R01 GM118675NIGMS NIH HHS R01 GM129291
6 · The paper itself

Abstract

Serotonin (5-HT) is an important signaling monoamine and neurotransmitter. We report structure-guided engineering of a green fluorescent, genetically encoded serotonin sensor (G-GESS) from a 5-HT-binding lipocalin in the soft tick Argas monolakensis. G-GESS shows fast response kinetics and high affinity, specificity, brightness and photostability. We used G-GESS to image 5-HT dynamics in cultured cells, brain slices and behaving mice.

Indexed as

AnimalsArgasBiosensing TechniquesBrainCell LineHEK293 CellsHumansLipocalinsMiceMice, Inbred BALB CMice, Inbred C57BLOptical ImagingSerotoninLipocalinsSerotonin

Identifiers

PMID33633410
OpenAlexW3129662637

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.