Evidence map›Paper›PMID 39433668›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2025

Time-Lapse Live-Cell Imaging Using Fluorescent Protein Sensors in Outflow Pathway Cells Under Fluid Flow Conditions.

Myoung Sup Shim, Paloma B Liton

Abstract read
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Myoung Sup ShimDepartment of Ophthalmology, Duke University, Durham, NC, USA. myoungsup.sim@duke.edu.
Paloma B LitonDepartment of Ophthalmology, Duke University, Durham, NC, USA.

Funding

VISION RESEARCHP30EY005722 · NEI · DUKE UNIVERSITY · PI Vadim Y Arshavsky · 1985 to 2026
$19.3M
Autophagy and Mechanotransduction in the Trabecular MeshworkR01EY026885 · NEI · DUKE UNIVERSITY · PI Paloma Liton · 2016 to 2026
$4.7M
Autophagy and Retinal Ganglion Cell Death in GlaucomaR01EY033600 · NEI · DUKE UNIVERSITY · PI LITON, PALOMA · 2022 to 2025
$1.9M
Lysosomal Enzymes in Outflow Pathway Physiology and PathophysiologyR01EY027733 · NEI · DUKE UNIVERSITY · PI LITON, PALOMA · 2017 to 2020
$1.8M
NEI NIH HHS P30 EY005722NEI NIH HHS R01 EY026885NEI NIH HHS R01 EY027733NEI NIH HHS R01 EY033600
6 · The paper itself

Abstract

The role of shear stress in regulating aqueous humor (AH) outflow and intraocular pressure (IOP) in the trabecular meshwork (TM) and Schlemm's canal (SC) of the eye is an emerging field. Shear stress has been shown to activate mechanosensitive ion channels in TM cells and induce nitric oxide production in SC cells, which can affect outflow resistance and lower IOP. Live-cell imaging using fluorescent protein sensors has provided real-time data to investigate the physiological relationship between fluid flow and shear stress in the outflow pathway cells. The successful application of time-lapse live-cell imaging in primary cultured cells has led to the identification of key cellular and molecular mechanisms involved in regulating AH outflow and IOP, including the role of autophagy and primary cilia as mechanosensors. This chapter presents a detailed protocol for conducting time-lapse live-cell imaging under fluid flow conditions in the outflow pathway cells.

Indexed as

Time-Lapse ImagingTrabecular MeshworkAnimalsAqueous HumorCells, CulturedHumansIntraocular PressureLuminescent ProteinsStress, MechanicalLuminescent ProteinsConventional outflow pathwayFluid flowFluorescent protein sensorSchlemm’s canalShear stressTime-lapse live-cell imagingTrabecular meshwork

Identifiers

PMID39433668
PMCPMC11803581

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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.