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

Ribosome Profiling02:24

Ribosome Profiling

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 helps...

You might also read

Related Articles

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

Sort by
Same author

Genomic Medicine Sweden: Advancing precision medicine at the national level.

Journal of internal medicine·2026
Same author

Publisher Correction: TGFβ signaling mediates microglial resilience to spatiotemporally restricted myelin degeneration.

Nature neuroscience·2026
Same author

Rare regulatory mutations disrupt mesenchymal molecular programs driving endocardial cushion formation in bicuspid aortic valve.

Nature communications·2026
Same author

The genomic medicine center Karolinska 10-year report on genome sequencing for rare diseases and a strategy for stepwise clinical implementation.

Genome medicine·2026
Same author

Single-cell spatial multi-omics molecular pathology enabled by SuperFocus.

bioRxiv : the preprint server for biology·2026
Same author

Single-Cell and Spatial Transcriptomic Profiling Reveals Epithelial Functional States and Fibroblast Phenotypes in Hormone Therapy-Naïve Localized Prostate Cancer.

Cancer research·2026

Related Experiment Video

Updated: Jun 27, 2026

Spatial Profiling of Protein and RNA Expression in Tissue: An Approach to Fine-Tune Virtual Microdissection
09:19

Spatial Profiling of Protein and RNA Expression in Tissue: An Approach to Fine-Tune Virtual Microdissection

Published on: July 6, 2022

5.3K

Gene expression profiling of periodontitis-affected gingival tissue by spatial transcriptomics.

Anna Lundmark1, Natalija Gerasimcik2, Tove Båge2

  • 1Department of Dental Medicine, Division of Periodontology, Karolinska Institutet, Huddinge, Sweden. anna.lundmark@ki.se.

Scientific Reports
|June 21, 2018
PubMed
Summary

This study used spatial transcriptomics to map gene expression in periodontitis-affected gums. Researchers identified specific genes, including IGLL5 and XBP1, that are highly expressed in inflamed tissues, offering new insights into periodontitis disease mechanisms.

More Related Videos

Author Spotlight: Exploring Advanced Therapeutic Targets in Osteosarcoma Through Spatial Transcriptomics
07:43

Author Spotlight: Exploring Advanced Therapeutic Targets in Osteosarcoma Through Spatial Transcriptomics

Published on: May 3, 2024

4.2K
Mining Spatial Transcriptomics Datasets using DeepSpaceDB
10:16

Mining Spatial Transcriptomics Datasets using DeepSpaceDB

Published on: September 5, 2025

611

Related Experiment Videos

Last Updated: Jun 27, 2026

Spatial Profiling of Protein and RNA Expression in Tissue: An Approach to Fine-Tune Virtual Microdissection
09:19

Spatial Profiling of Protein and RNA Expression in Tissue: An Approach to Fine-Tune Virtual Microdissection

Published on: July 6, 2022

5.3K
Author Spotlight: Exploring Advanced Therapeutic Targets in Osteosarcoma Through Spatial Transcriptomics
07:43

Author Spotlight: Exploring Advanced Therapeutic Targets in Osteosarcoma Through Spatial Transcriptomics

Published on: May 3, 2024

4.2K
Mining Spatial Transcriptomics Datasets using DeepSpaceDB
10:16

Mining Spatial Transcriptomics Datasets using DeepSpaceDB

Published on: September 5, 2025

611

Area of Science:

  • Oral Biology
  • Inflammation Research
  • Genomics

Background:

  • Periodontitis is a common chronic inflammatory disease causing tooth loss.
  • Understanding gene expression in affected tissues is crucial for disease mechanism insights.

Purpose of the Study:

  • To characterize gene expression in periodontitis-affected gingival tissue using spatial transcriptomics.
  • To identify specific genes up-regulated in inflamed gingival connective tissue.

Main Methods:

  • Spatial transcriptomics combined RNA sequencing with histological analysis.
  • Gene expression clusters were identified corresponding to tissue types.
  • Reverse transcription quantitative polymerase chain reaction and immunohistochemistry validated findings.

Main Results:

  • Distinct gene expression clusters identified in epithelium, inflamed, and non-inflamed connective tissue.
  • 92 genes were significantly up-regulated in inflamed gingival connective tissue.
  • Key up-regulated genes include IGLL5, SSR4, MZB1, and XBP1, with validated protein expression.

Conclusions:

  • Spatial transcriptomics reveals distinct gene expression signatures in periodontitis.
  • Specific genes are identified as highly expressed in inflamed gingival tissue, potentially driving disease pathogenesis.
  • Findings contribute novel information on genes and cell types involved in periodontitis.