Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Neural Regulation01:37

Neural Regulation

Digestion begins with a cephalic phase that prepares the digestive system to receive food. When our brain processes visual or olfactory information about food, it triggers impulses in the cranial nerves innervating the salivary glands and stomach to prepare for food.
Alzheimer Disease ll: Pathophysiology01:23

Alzheimer Disease ll: Pathophysiology

Alzheimer disease involves structural changes in the brain that begin long before symptoms appear. The most distinctive features are extracellular neuritic plaques and intracellular neurofibrillary tangles.Neuritic plaques form in the cerebral cortex and around blood vessels. These plaques contain a dense core of beta-amyloid (Aβ)—a toxic protein fragment that clumps outside neurons. The core is surrounded by damaged neuronal extensions, as well as reactive astrocytes and microglia. Abnormal...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

AI-guided analysis of human pancreatic islet sociology reveals distinct cell compositional changes in type 1 diabetes.

bioRxiv : the preprint server for biology·2026
Same author

Adaptive Fisher's method using weakly geometric grid for combining <i>p</i>-values with application to COVID-19 surveillance.

Journal of the Royal Statistical Society. Series C, Applied statistics·2026
Same author

Local control of dopamine release in nucleus accumbens gates opioid withdrawal aversion.

bioRxiv : the preprint server for biology·2026
Same author

Development of an Integrated Radiotherapy Simulation Platform with AI-Driven Segmentation and Ray-Casting-Based Dosimetric Evaluation.

Bioengineering (Basel, Switzerland)·2026
Same author

Impact of sex chromosomes and gonad type in stress susceptibility in corticostriatal brain regions.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same author

Unraveling Tissue-Specific Molecular Signatures and Convergent Pathway Enrichments in Suicidal Behavior.

bioRxiv : the preprint server for biology·2026

Related Experiment Video

Updated: Jun 19, 2026

Visualizing Synaptic Degeneration in Adult Drosophila in Association with Neurodegeneration
06:10

Visualizing Synaptic Degeneration in Adult Drosophila in Association with Neurodegeneration

Published on: May 13, 2020

6.7K

Deep Disentangled Representation Learning Reveals Neuron Subtype-Specific Nuclear Morphologies Across Aging in Mice

Mostofa Rafid Uddin1, Zhiqian Zheng2, Kashish Gandhi1

  • 1Carnegie Mellon University, Pittsburgh, PA 15213, USA.

Biorxiv : the Preprint Server for Biology
|November 24, 2025
PubMed
Summary

We developed a computational pipeline linking nuclear shape to cell function using RNAscope imaging. This method reveals cell differences and aging effects, highlighting nuclear morphology as a key indicator of cell state.

Keywords:
Imaging transcriptomicsMorphologic ProfilingNeural agingRepresentation learning

More Related Videos

Gentle Isolation of Nuclei from the Brain Tissue of Adult African Turquoise Killifish, a Naturally Short-Lived Model for Aging Research
09:28

Gentle Isolation of Nuclei from the Brain Tissue of Adult African Turquoise Killifish, a Naturally Short-Lived Model for Aging Research

Published on: August 9, 2022

2.5K
Fluorescence-Activated Nuclei Negative Sorting of Neurons Combined with Single Nuclei RNA Sequencing to Study the Hippocampal Neurogenic Niche
08:16

Fluorescence-Activated Nuclei Negative Sorting of Neurons Combined with Single Nuclei RNA Sequencing to Study the Hippocampal Neurogenic Niche

Published on: October 20, 2022

3.6K

Related Experiment Videos

Last Updated: Jun 19, 2026

Visualizing Synaptic Degeneration in Adult Drosophila in Association with Neurodegeneration
06:10

Visualizing Synaptic Degeneration in Adult Drosophila in Association with Neurodegeneration

Published on: May 13, 2020

6.7K
Gentle Isolation of Nuclei from the Brain Tissue of Adult African Turquoise Killifish, a Naturally Short-Lived Model for Aging Research
09:28

Gentle Isolation of Nuclei from the Brain Tissue of Adult African Turquoise Killifish, a Naturally Short-Lived Model for Aging Research

Published on: August 9, 2022

2.5K
Fluorescence-Activated Nuclei Negative Sorting of Neurons Combined with Single Nuclei RNA Sequencing to Study the Hippocampal Neurogenic Niche
08:16

Fluorescence-Activated Nuclei Negative Sorting of Neurons Combined with Single Nuclei RNA Sequencing to Study the Hippocampal Neurogenic Niche

Published on: October 20, 2022

3.6K

Area of Science:

  • Computational biology
  • Cell biology
  • Neuroscience

Background:

  • Linking cellular phenotypes to gene expression is crucial for understanding biological processes.
  • Current methods often lack the scalability or resolution to capture subtle cellular differences.
  • Nuclear morphology offers a potential imaging-based biomarker for cell state.

Purpose of the Study:

  • To develop and validate a computational pipeline connecting nuclear morphology to mRNA expression-based cell phenotypes.
  • To apply this pipeline to analyze neuronal populations in mice and humans across different conditions.
  • To investigate the relationship between nuclear morphology, cell identity, and aging.

Main Methods:

  • A three-component computational pipeline: nuclear segmentation, morphology identification, and statistical analysis.
  • Utilized RNAscope imaging for high-resolution mRNA detection.
  • Employed deep disentangled representation learning for unsupervised nuclear morphology identification.

Main Results:

  • Successfully linked nuclear morphology to cell phenotypes across diverse conditions like aging and disease.
  • Identified distinct nuclear morphology differences between dopaminergic/glutamatergic neurons and their non-neuronal counterparts in mice and humans.
  • Discovered an interaction between neurotransmitter identity and healthy aging in mice, evidenced by nuclear morphology changes.

Conclusions:

  • Nuclear morphology is a scalable and informative readout of cell identity and physiological state.
  • The developed computational pipeline provides a novel tool for high-throughput cellular analysis.
  • Findings offer insights into neuronal heterogeneity and aging processes at the morphological level.