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

10.2K
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...
10.2K
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

Differential regulation of hepatic macrophage fate by Chi3l1 in metabolic dysfunction-associated steatotic liver disease.

eLife·2026
Same author

Hyperactivated glycolysis drives spatially patterned Kupffer cell depletion in MASLD.

eLife·2026
Same author

Microbial tryptophan metabolism activates host lysosomal activity to facilitate lipid breakdown.

PLoS biology·2026
Same author

Neuronal detection triggers systemic digestive shutdown in response to adverse food sources in <i>Caenorhabditis elegans</i>.

eLife·2025
Same author

The shutdown of food digestion due to endoplasmic reticulum homeostasis disruption acts as a protective mechanism in C. elegans.

Nature communications·2025
Same author

Neuronal PRDX-2-Mediated ROS Signaling Regulates Food Digestion via peripheral UPR<sup>mt</sup> Activation.

Nature communications·2024

Related Experiment Video

Updated: Aug 11, 2025

Author Spotlight: AQRNA-seq Role in Mapping Small RNAs and Unraveling Protein Translation Mechanisms
05:12

Author Spotlight: AQRNA-seq Role in Mapping Small RNAs and Unraveling Protein Translation Mechanisms

Published on: February 2, 2024

851

ScRNA-seq and ST-seq in liver research.

Jia He1, Chengxiang Deng1, Leonard Krall1

  • 1State Key Laboratory of Conservation and Utilization of Bio-resources in Yunnan and Center for Life Sciences, School of Life Sciences, Yunnan University, Kunming, 650091, China.

Cell Regeneration (London, England)
|February 2, 2023
PubMed
Summary

Spatial transcriptomics, using spatial transcriptome sequencing (ST-seq) and single-cell RNA sequencing (scRNA-seq), enhances liver research. Advances offer new opportunities but require addressing limitations in sensitivity and single-cell resolution.

Keywords:
Liver developmentLiver diseaseLiver regenerationSingle-cell RNA sequencingSpatial transcriptome sequencing

More Related Videos

RNA-seq Analysis of Transcriptomes in Thrombin-treated and Control Human Pulmonary Microvascular Endothelial Cells
18:30

RNA-seq Analysis of Transcriptomes in Thrombin-treated and Control Human Pulmonary Microvascular Endothelial Cells

Published on: February 13, 2013

22.0K
2D-HELS MS Seq: A General LC-MS-Based Method for Direct and de novo Sequencing of RNA Mixtures with Different Nucleotide Modifications
05:41

2D-HELS MS Seq: A General LC-MS-Based Method for Direct and de novo Sequencing of RNA Mixtures with Different Nucleotide Modifications

Published on: July 10, 2020

2.0K

Related Experiment Videos

Last Updated: Aug 11, 2025

Author Spotlight: AQRNA-seq Role in Mapping Small RNAs and Unraveling Protein Translation Mechanisms
05:12

Author Spotlight: AQRNA-seq Role in Mapping Small RNAs and Unraveling Protein Translation Mechanisms

Published on: February 2, 2024

851
RNA-seq Analysis of Transcriptomes in Thrombin-treated and Control Human Pulmonary Microvascular Endothelial Cells
18:30

RNA-seq Analysis of Transcriptomes in Thrombin-treated and Control Human Pulmonary Microvascular Endothelial Cells

Published on: February 13, 2013

22.0K
2D-HELS MS Seq: A General LC-MS-Based Method for Direct and de novo Sequencing of RNA Mixtures with Different Nucleotide Modifications
05:41

2D-HELS MS Seq: A General LC-MS-Based Method for Direct and de novo Sequencing of RNA Mixtures with Different Nucleotide Modifications

Published on: July 10, 2020

2.0K

Area of Science:

  • Molecular Biology
  • Genomics
  • Hepatology

Background:

  • Spatial transcriptomics integrates gene expression with spatial context, significantly advancing liver research.
  • Applications span liver development, regeneration, and disease pathology, improving understanding.
  • Current challenges include sensitivity, precise single-cell resolution, and data processing.

Purpose of the Study:

  • To review advances in spatial transcriptomics, particularly ST-seq, for liver research.
  • To explore how these technologies address fundamental questions in liver biology.
  • To discuss the strengths, limitations, and future directions of ST-seq in hepatology.

Main Methods:

  • Review of single-cell RNA sequencing (scRNA-seq) and spatial transcriptome sequencing (ST-seq) methodologies.
  • Integration of scRNA-seq with ST-seq for cell-specific gene expression analysis.
  • Analysis of recent literature on ST-seq applications in liver research.

Main Results:

  • Spatial transcriptomics has greatly improved knowledge of liver development, regeneration, and diseases.
  • Combined scRNA-seq and ST-seq enable detailed cell-specific gene expression analysis.
  • ST-seq shows promise for novel liver research opportunities.

Conclusions:

  • Advances in ST-seq offer significant potential for investigating complex liver biology.
  • Addressing current limitations in sensitivity and resolution is crucial for future progress.
  • ST-seq is poised to become an indispensable tool in hepatology.