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

RNA-seq03:21

RNA-seq

10.4K
RNA sequencing, or RNA-Seq, is a high-throughput sequencing technology used to study the transcriptome of a cell. Transcriptomics helps to interpret the functional elements of a genome and identify the molecular constituents of an organism. Additionally, it also helps in understanding the development of an organism and the occurrence of diseases. 
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while...
10.4K
DNA Microarrays02:34

DNA Microarrays

18.5K
Microarrays are high-throughput and relatively inexpensive assays that can be automated to analyze large quantities of data at a time. They are used in genome-wide studies to compare gene or protein expression under two varied conditions, such as healthy and diseased states. Microarrays consist of glass or silica slides on which probe molecules are covalently attached through surface functionalization. Most commonly, the slides are prepared through the chemisorption of silanes to silica...
18.5K
Ribosome Profiling02:24

Ribosome Profiling

3.6K
Ribosome profiling or ribo-sequencing is a deep sequencing technique that produces a snapshot of active translation in a cell. It selectively sequences the mRNAs protected by ribosomes to get an insight into a cell’s translation landscape at any given point in time.
Applications of ribosome profiling
Ribosome profiling has many applications, including in vivo monitoring of translation inside a particular organ or tissue type and quantifying new protein synthesis levels.
The technique...
3.6K

You might also read

Related Articles

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

Sort by
Same author

Genetic predisposition to inflammation and psychopathology: A transdiagnostic network analysis.

Journal of affective disorders·2026
Same author

Computational reconstruction of evolutionary selection in human brain networks.

Frontiers in neuroinformatics·2026
Same author

Multi-modal brain data exploration software for imaging transcriptomics: A comparative evaluation and future directions.

Imaging neuroscience (Cambridge, Mass.)·2026
Same author

Using multi-trait polygenic scores to predict lithium responsiveness in patients with bipolar disorder.

medRxiv : the preprint server for health sciences·2026
Same author

Author Correction: Fine-mapping genomic loci refines bipolar disorder risk genes.

Nature neuroscience·2025
Same author

Genetic Risk Variants for Multiple Sclerosis and Other Loci Linked to Intrathecal Immunoglobulin G Synthesis.

Neurology(R) neuroimmunology & neuroinflammation·2025
Same journal

Designing scFlowVis: Visual Analytics for Single-Cell RNA Sequencing Analysis.

IEEE computer graphics and applications·2026
Same journal

Graph Pattern Matching based reassembly - 3DGPM.

IEEE computer graphics and applications·2026
Same journal

Making Learning Visible: Turning Public Engagement into Evidence for Academic Learning.

IEEE computer graphics and applications·2026
Same journal

LlymX: Multimodal LLM-Augmented XR for Context-Aware Information Access.

IEEE computer graphics and applications·2026
Same journal

Dynamic Gaussian-Based Digital Twin Reconstruction of Articulated Multi-Joint Objects.

IEEE computer graphics and applications·2026
Same journal

Steiner and Poisson Traversal Initializations: Initial Curve Optimization for Geometric Flow-based Surface Filling.

IEEE computer graphics and applications·2026
See all related articles

Related Experiment Video

Updated: Sep 13, 2025

Author Spotlight: Impact of Intergenic Interactions on Disease-Identifying Dark Biomarkers
03:37

Author Spotlight: Impact of Intergenic Interactions on Disease-Identifying Dark Biomarkers

Published on: March 1, 2024

904

Circuit Mining in Transcriptomics Data.

Tobias Peherstorfer, Sophia Ulonska, Bianca Burger

    IEEE Computer Graphics and Applications
    |July 31, 2025
    PubMed
    Summary
    This summary is machine-generated.

    Neuroscientists can now discover potential drug targets by visually analyzing gene expression in specific brain circuits. This new approach simplifies complex data analysis for faster identification of genes influencing brain function.

    More Related Videos

    Obtaining High-Quality Transcriptome Data from Cereal Seeds by a Modified Method for Gene Expression Profiling
    07:18

    Obtaining High-Quality Transcriptome Data from Cereal Seeds by a Modified Method for Gene Expression Profiling

    Published on: May 21, 2020

    7.5K
    Author Spotlight: Cost-Effective Transcriptomic Drug Screening - Unlocking New Targets
    06:40

    Author Spotlight: Cost-Effective Transcriptomic Drug Screening - Unlocking New Targets

    Published on: February 23, 2024

    1.4K

    Related Experiment Videos

    Last Updated: Sep 13, 2025

    Author Spotlight: Impact of Intergenic Interactions on Disease-Identifying Dark Biomarkers
    03:37

    Author Spotlight: Impact of Intergenic Interactions on Disease-Identifying Dark Biomarkers

    Published on: March 1, 2024

    904
    Obtaining High-Quality Transcriptome Data from Cereal Seeds by a Modified Method for Gene Expression Profiling
    07:18

    Obtaining High-Quality Transcriptome Data from Cereal Seeds by a Modified Method for Gene Expression Profiling

    Published on: May 21, 2020

    7.5K
    Author Spotlight: Cost-Effective Transcriptomic Drug Screening - Unlocking New Targets
    06:40

    Author Spotlight: Cost-Effective Transcriptomic Drug Screening - Unlocking New Targets

    Published on: February 23, 2024

    1.4K

    Area of Science:

    • Neuroscience
    • Bioinformatics
    • Genomics

    Background:

    • Altering brain function requires targeting genes specific to brain circuits.
    • Analyzing large, spatially resolved transcriptomics data is complex and time-consuming.
    • Current methods require bioinformatics expertise, hindering rapid neuroscientist-led discovery.

    Purpose of the Study:

    • To develop a visual analytics tool for identifying potential neuropharmacological target genes.
    • To empower neuroscientists with limited technical backgrounds to mine gene expression data.
    • To facilitate the discovery of genes within specific meso-scale brain circuits.

    Main Methods:

    • Developed an interactive visual analytics approach for gene expression mining.
    • Integrated spatial indexing and novel sample variance formulation for real-time analysis.
    • Supported interactive definition and refinement of brain circuits in human and mouse brains.

    Main Results:

    • Enabled differential gene expression analysis within arbitrary brain circuits at runtime.
    • Provided a user-friendly interface for neuroscientists to explore complex transcriptomic data.
    • Demonstrated the tool's utility in identifying potential target genes relevant to brain circuits.

    Conclusions:

    • The visual analytics approach significantly simplifies target discovery for neuroscientists.
    • This method accelerates the identification of genes for neuropharmacological research.
    • The tool holds potential for advancing brain circuit-specific therapeutic strategies.