Evidence map›Paper›PMID 39381373›Full record

ReviewFrontiers in cell and developmental biology2024

Imaging and proteomics toolkits for studying organelle contact sites.

Rico Gamuyao, Chi-Lun Chang

Abstract readReview
In one paragraph

Review in Frontiers in cell and developmental biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Subcellular localization as a driver of protein function.Nature reviews. Molecular cell biology · 2026
    Review
  2. Heterogeneity, dynamics and organelle interactions of lipid droplets.Nature reviews. Molecular cell biology · 2026
    Review
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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

2 authors.

Rico GamuyaoDepartment of Cell and Molecular Biology, St. Jude Children's Research Hospital, Memphis, TN, United States.
Chi-Lun ChangDepartment of Cell and Molecular Biology, St. Jude Children's Research Hospital, Memphis, TN, United States.

Funding

Understanding Metabolism in Space and Time – Mechanistic Analysis of the Dynamic Spatial Organization of MetabolismDP2GM150192 · NIGMS · ST. JUDE CHILDREN'S RESEARCH HOSPITAL · PI CHANG, CHI-LUN · 2022 to 2025
$2.7M
NIGMS NIH HHS DP2 GM150192
6 · The paper itself

Abstract

Organelle contact sites are regions where two heterologous membranes are juxtaposed by molecular tethering complexes. These contact sites are important in inter-organelle communication and cellular functional integration. However, visualizing these minute foci and identifying contact site proteomes have been challenging. In recent years, fluorescence-based methods have been developed to visualize the dynamic physical interaction of organelles while proximity labeling approaches facilitate the profiling of proteomes at contact sites. In this review, we explain the design principle for these contact site reporters: a dual-organelle interaction mechanism based on how endogenous tethers and/or tethering complexes localize to contact sites. We classify the contact site reporters into three categories: (i) single-protein systems, (ii) two-component systems with activated reporter signal upon organelle proximity, and (iii) reporters for contact site proteomes. We also highlight advanced imaging analysis with high temporal-spatial resolution and the use of machine-learning algorithms for detecting contact sites.

Indexed as

bimolecular complementationelectron microscopylight microscopyorganelle contact sitesproximity labelingsplitFASTsplit fluorescent proteinsplit-TurboID

Identifiers

PMID39381373
PMCPMC11458464

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.