Evidence map›Paper›PMID 40666913›Full record

ArticlebioRxiv : the preprint server for biology2025

Using Manganese-Enhanced MRI to visualize Magnetogenetic-based Neuromodulation.

Brianna Ricker, Nir Dayan, Galit Pelled, Assaf A Gilad

Abstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in bioRxiv : the preprint server for biology, 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

4 authors.

Brianna RickerDepartment of Chemical Engineering and Materials Science, Michigan State University, East Lansing, MI.ORCID 0000-0003-2216-9475
Nir DayanDepartment of Chemical Engineering and Materials Science, Michigan State University, East Lansing, MI.
Galit PelledDepartment of Mechanical Engineering, Michigan State University, East Lansing, MI.
Assaf A GiladDepartment of Chemical Engineering and Materials Science, Michigan State University, East Lansing, MI.ORCID 0000-0002-7272-7570

Funding

Clinically Translatable MRI Reporter Genes and Imaging Methods with Ultra-High Specificity and SensitivityR01EB031008 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI CHRISTIAN T FARRAR · 2021 to 2026
$4.0M
Evolution and optimization of synthetic <READ/WRITE> function from and into cells using genetic programmingR01EB030565 · NIBIB · MICHIGAN STATE UNIVERSITY · PI BANZHAF, WOLFGANG, GILAD, ASSAF A · 2021 to 2024
$2.3M
Semi-synthetic, magneto-photonic circuit for non-invasive control of cellular functionR01EB031936 · NIBIB · CENTRAL MICHIGAN UNIVERSITY · PI GILAD, ASSAF A, HOCHGESCHWENDER, UTE H · 2021 to 2021
$2.0M
NIBIB NIH HHS R01 EB030565NIBIB NIH HHS R01 EB031008NIBIB NIH HHS R01 EB031936
6 · The paper itself

Abstract

Purpose: Investigation of the electromagnetic perceptive gene (EPG) protein and garnering evidence to suggest its use as a magnetogenetic tool for neuromodulation. Activation of EPG by electromagnetic field increases intracellular calcium levels, thus, we aimed to determine whether EPG influences the analogous manganese ion. This work yields potential for manganese-enhanced MRI (MEMRI) to be used to monitor EPG acting as a neuromodulator. Methods: HEK293FT cells expressing EPG were exposed to a MnCl Results: Lysate of cells expressing EPG showed significantly lower T Conclusion: Magnetic activation of EPG increases the uptake of Mn

Indexed as

Magnetogeneticsmanganese enhanced MRI (MEMRI)neuromodulation

Identifiers

PMID40666913
PMCPMC12262371

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.