ArticleMethods in molecular biology (Clifton, N.J.)2021
High-Throughput Image Analysis of Lipid-Droplet-Bound Mitochondria.
Article in Methods in molecular biology (Clifton, N.J.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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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.
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.
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Who cites it
6 citing papers in PubMed, 8 citations in OpenAlex.
- Mitochondria and Lipid Droplets: Focus on the Molecular Structure of Contact Sites in the Pathogenesis of Metabolic Syndrome.Current medicinal chemistry · 2025Review
- HSDL2 links nutritional cues to bile acid and cholesterol homeostasis.Science advances · 2024Article
- How to follow lipid droplets dynamics during adipocyte metabolism.Journal of cellular physiology · 2022Article
- Lipid droplet - mitochondria coupling: A novel lipid metabolism regulatory hub in diabetic nephropathy.Frontiers in endocrinology · 2022Review
- Aberrant activity of mitochondrial NCLX is linked to impaired synaptic transmission and is associated with mental retardation.Communications biology · 2021Article
- NCLX prevents cell death during adrenergic activation of the brown adipose tissue.Nature communications · 2020Article
Corrections and comments
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Authors and funding
7 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Changes to mitochondrial architecture are associated with various adaptive and pathogenic processes. However, quantification of changes to mitochondrial structures is limited by the yet unmet challenge of defining the borders of each individual mitochondrion within an image. Here, we describe a novel method for segmenting primary brown adipocyte (BA) mitochondria images. We describe a granular approach to quantifying subcellular structures, particularly mitochondria in close proximity to lipid droplets: peridroplet mitochondria. In addition, we lay out a novel machine-learning-based mitochondrial segmentation method that eliminates the bias of manual mitochondrial segmentation and improves object recognition compared to conventional thresholding analyses. By applying these methods, we discovered a significant difference between cytosolic and peridroplet BA mitochondrial H
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Registered trials
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.