Evidence map›Paper›PMID 31119673›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2019

Temporal Metabolite, Ion, and Enzyme Activity Profiling Using Fluorescence Microscopy and Genetically Encoded Biosensors.

Douglas A Chapnick, Eric Bunker, Xuedong Liu, William M Old

Open access · greenAbstract read
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.0field-weighted citation impact, top 24% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. Article
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 at 1 institution in 1 country.

Douglas A ChapnickDepartment of Biochemistry, University of Colorado, Boulder, CO, USA.
Eric BunkerDepartment of Biochemistry, University of Colorado, Boulder, CO, USA.
Xuedong LiuDepartment of Biochemistry, University of Colorado, Boulder, CO, USA.
William M OldDepartment of Molecular, Cellular and Developmental Biology, University of Colorado, Boulder, CO, USA. William.Old@colorado.edu.
University of Colorado Boulder · US

Funding

Quantitative Analysis of Mechanochemical Signaling in Wound ResponseR01AR068254 · NIAMS · UNIVERSITY OF COLORADO · PI LIU, XUEDONG · 2015 to 2021
$1.8M
High Throughput Screening to Discover Chemical Probes and Pharmacological Agents for Modulating Parkin ActivityR01GM113141 · NIGMS · UNIVERSITY OF COLORADO · PI LIU, XUEDONG · 2015 to 2017
$897k
FACSAria Fusion Cell SorterS10OD021601 · OD · UNIVERSITY OF COLORADO · PI LIU, XUEDONG · 2016 to 2016
$599k
ImageXpress Micro Cellular Imagining and Analysis SystemS10RR026680 · NCRR · UNIVERSITY OF COLORADO · PI LIU, XUEDONG · 2011 to 2011
$380k
NCRR NIH HHS S10 RR026680NIAMS NIH HHS R01 AR068254NIGMS NIH HHS R01 GM113141NIH HHS S10 OD021601
6 · The paper itself

Abstract

Living cells employ complex and highly dynamic signaling networks and transcriptional circuits to maintain homeostasis and respond appropriately to constantly changing environments. These networks enable cells to maintain tight control on intracellular concentrations of ions, metabolites, proteins, and other biomolecules and ensure a careful balance between a cell's energetic needs and catabolic processes required for growth. Establishing molecular mechanisms of genetic and pharmacological perturbations remains challenging, due to the interconnected nature of these networks and the extreme sensitivity of cellular systems to their external environment. Live cell imaging with genetically encoded fluorescent biosensors provides a powerful new modality for nondestructive spatiotemporal tracking of ions, small molecules, enzymatic activities, and molecular interactions in living systems, from cells, tissues, and even living organisms. By deploying large panels of cell lines, each with distinct biosensors, many critical biochemical pathways can be monitored in a highly parallel and high-throughput fashion to identify pharmacological vulnerabilities and combination therapies unique to a given cell type or genetic background. Here we describe the experimental and analytical methods required to conduct multiplexed parallel fluorescence microscopy experiments on live cells expressing stable transgenic synthetic protein biosensors.

Indexed as

Biosensing TechniquesEnzymesFluorescence Resonance Energy TransferIonsMicroscopy, FluorescenceProteinsSignal TransductionEnzymesIonsProteinsFluorescence microscopyFluorescent biosensorFRETMechanism of actionProfiling

Identifiers

PMID31119673
PMCPMC6901385
OpenAlexW2945007398

What OpenQuestion holds

Textmetadata
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.