Evidence map›Paper›PMID 39699725›Full record

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

Using GRAM Domain-Based Biosensors to Monitor Accessible Cholesterol Distribution in Live Cells.

Tomoki Naito, Minyoung Na, Dylan Hong Zheng Koh, Yasunori Saheki

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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. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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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.

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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.

Tomoki NaitoLee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore.
Minyoung NaLee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore.
Dylan Hong Zheng KohLee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore.
Yasunori SahekiLee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore. yasunori.saheki@ntu.edu.sg.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cholesterol is a vital component of cellular membranes, playing a crucial role in membrane integrity and cell signaling. It is unevenly distributed among different cellular compartments, with the highest enrichment in the plasma membrane (PM). Dysregulation of cellular cholesterol distribution is linked to various disorders, including cardiovascular and neurological diseases. Regulated transport of a specific pool of cholesterol, known as accessible cholesterol, is essential for maintaining cellular cholesterol distribution, yet visualization tools for accessible cholesterol in live cells are limited. Here, we introduce methods for visualizing accessible cholesterol using biosensors based on the GRAM domain of GRAMD1s/Asters (GRAMD1a, GRAMD1b, and GRAMD1c). We present two variants of the GRAM domain of GRAMD1b, GRAM-H, and GRAM-W, with different affinities for cholesterol, enabling the detection of both increase and decrease of accessible cholesterol in the PM. Additionally, we demonstrate the successful coupling of dimerization-dependent fluorescent protein (ddFP) with these biosensors to monitor accessible PM cholesterol levels in cell populations using flow cytometry. These GRAM domain-based biosensors complement existing tools, providing new insights into the molecular mechanisms underlying accessible cholesterol distribution.

Indexed as

Biosensing TechniquesCell MembraneCholesterolFlow CytometryHumansProtein DomainsCholesterolCholesterolFlow cytometryGRAMD1Lipid transfer proteinLive cell imaging

Identifiers

What OpenQuestion holds

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Registered trials

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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.