Jove
Visualize
Contact Us

Related Concept Videos

Network Covalent Solids02:18

Network Covalent Solids

Network covalent solids contain a three-dimensional network of covalently bonded atoms as found in the crystal structures of nonmetals like diamond, graphite, silicon, and some covalent compounds, such as silicon dioxide (sand) and silicon carbide (carborundum, the abrasive on sandpaper). Many minerals have networks of covalent bonds.
To break or to melt a covalent network solid, covalent bonds must be broken. Because covalent bonds are relatively strong, covalent network solids are typically...
Lampbrush Chromosomes01:51

Lampbrush Chromosomes

In 1882, Flemming observed lampbrush chromosomes (LBC) in salamander eggs. Later in 1892, Rückert observed LBCs in shark egg cells and coined the term "lampbrush chromosomes" because they looked like brushes used to clean kerosene lamps.
LBCs are made up of two pairs of conjugating homologous chromatids. Each chromatid consists of alternatively positioned regions of condensed-inactive chromatin and loosely placed-active side loops, which can be contracted and extended. The loops resemble the...
Lampbrush Chromosomes01:51

Lampbrush Chromosomes

In 1882, Flemming observed lampbrush chromosomes (LBC) in salamander eggs. Later in 1892, Rückert observed LBCs in shark egg cells and coined the term "lampbrush chromosomes" because they looked like brushes used to clean kerosene lamps.
LBCs are made up of two pairs of conjugating homologous chromatids. Each chromatid consists of alternatively positioned regions of condensed-inactive chromatin and loosely placed-active side loops, which can be contracted and extended. The loops resemble the...
Network Function of a Circuit01:25

Network Function of a Circuit

Frequency response analysis in electrical circuits provides vital insights into a circuit's behavior as the frequency of the input signal changes. The transfer function, a mathematical tool, is instrumental in understanding this behavior. It defines the relationship between phasor output and input and comes in four types: voltage gain, current gain, transfer impedance, and transfer admittance. The critical components of the transfer function are the poles and zeros.
Spanning Openings in Brick Walls01:20

Spanning Openings in Brick Walls

In brick wall construction, supporting structures are crucial for openings like windows and doors to maintain the integrity and support the weight of the wall above. These supports include lintels, corbels, and arches, each serving specific structural purposes.
Lintels are primary supports used to span openings and can be crafted from materials such as reinforced concrete, steel-reinforced brick masonry, or simple steel angles. These are straightforward to install and are typically concealed...
Flashbulb Memory01:16

Flashbulb Memory

A flashbulb memory is a highly vivid and detailed memory, often linked to events of significant emotional impact. These memories stand out in contrast to everyday memories due to their clarity and the precision with which they are recalled. The strong emotions associated with the event act as a catalyst, ensuring that specific details, such as one's location, actions, and even peripheral elements, are etched into memory with remarkable accuracy. For example, many people can vividly recall where...

You might also read

Related Articles

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

Sort by
Same author

Resolving DNA origami structural integrity and pharmacokinetics in vivo.

Nature nanotechnology·2026
Same author

Spatially resolved integrative analysis of transcriptomic and metabolomic changes in tissue injury studies.

Nature communications·2026
Same author

MoRNiNG: A Database of RNA Modification Sites Associated with RNA Secondary Structure Dynamics.

Genomics, proteomics & bioinformatics·2025
Same author

Spatial transcriptomics reveals substantial heterogeneity in triple-negative breast cancer with potential clinical implications.

Nature communications·2024
Same author

Mapping spatially resolved transcriptomes in human and mouse pulmonary fibrosis.

Nature genetics·2024
Same author

Semla: a versatile toolkit for spatially resolved transcriptomics analysis and visualization.

Bioinformatics (Oxford, England)·2023
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 Experiment Video

Updated: Jun 7, 2026

Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations
12:27

Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations

Published on: February 15, 2017

7.3K

Hidden network preserved in Slide-tags data allows reference-free spatial reconstruction.

Simon K Dahlberg1, David Fernández Bonet1, Lovisa Franzén1

  • 1Department of Gene Technology, KTH Royal Institute of Technology, Science for Life Laboratory, Solna, Sweden.

Nature Communications
|November 1, 2025
PubMed
Summary
This summary is machine-generated.

Spatial transcriptomics methods map gene expression. A new network-based approach, Slide-tags, reconstructs tissue spatial information without pre-indexed arrays, offering a novel imaging-by-sequencing strategy.

More Related Videos

Modeling the Functional Network for Spatial Navigation in the Human Brain
05:55

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

1.5K
Spatially Compact Arrangement of Larval Zebrafish Sections for Spatial Transcriptomic Analysis
07:40

Spatially Compact Arrangement of Larval Zebrafish Sections for Spatial Transcriptomic Analysis

Published on: May 16, 2025

887

Related Experiment Videos

Last Updated: Jun 7, 2026

Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations
12:27

Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations

Published on: February 15, 2017

7.3K
Modeling the Functional Network for Spatial Navigation in the Human Brain
05:55

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

1.5K
Spatially Compact Arrangement of Larval Zebrafish Sections for Spatial Transcriptomic Analysis
07:40

Spatially Compact Arrangement of Larval Zebrafish Sections for Spatial Transcriptomic Analysis

Published on: May 16, 2025

887

Area of Science:

  • Molecular Biology
  • Genomics
  • Bioinformatics

Background:

  • Spatial transcriptomics technologies map gene expression within tissues.
  • Current methods rely on pre-indexed array surfaces for spatial information.

Purpose of the Study:

  • To reanalyze Slide-tags data and uncover a novel network-based approach.
  • To demonstrate unassisted tissue reconstruction using Slide-tags.

Main Methods:

  • Reanalysis of Slide-tags data.
  • Identification of a latent cell-bead network.
  • Optimization of spatial constraints within the network structure.

Main Results:

  • Discovery of a spatially informative cell-bead network formed incidentally.
  • Demonstration of Slide-tags as a network-based imaging-by-sequencing method.
  • Achieved unassisted tissue reconstruction through network optimization.

Conclusions:

  • Slide-tags offers a fundamental shift from traditional spatial transcriptomics.
  • Network-based analysis enables novel tissue reconstruction strategies.
  • This approach enhances spatial gene expression mapping.