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Related Concept Videos

Cell Specific Gene Expression01:58

Cell Specific Gene Expression

13.6K
Multicellular organisms contain a variety of structurally and functionally distinct cell types, but the DNA in all the cells originated from the same parent cells. The differences in the cells can be attributed to the differential gene expression. Liver cells, whose functions include detoxification of blood, production of bile to metabolize fats, and synthesis of proteins essential for metabolism, must express a specific set of genes to perform their functions. Gene expression also varies with...
13.6K

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Related Experiment Video

Updated: Jul 24, 2025

Isolation of Nuclei from Flash-Frozen Liver Tissue for Single-Cell Multiomics
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Isolation of Nuclei from Flash-Frozen Liver Tissue for Single-Cell Multiomics

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Liver in infections: a single-cell and spatial transcriptomics perspective.

Ju Zou1,2, Jie Li1,2, Xiao Zhong1,2

  • 1Hunan Key Laboratory of Viral Hepatitis, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, China.

Journal of Biomedical Science
|July 10, 2023
PubMed
Summary
This summary is machine-generated.

High-throughput single-cell technologies reveal liver immune cell dynamics during infections like hepatitis B and COVID-19. This enhances understanding of disease mechanisms and aids in developing new therapeutic targets for liver diseases.

Keywords:
InfectionsLiverSingle-cell technologiesSpatial transcriptome

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Author Spotlight: Integrating Single-Cell Transcriptomics with Organoid Cultures for Advanced Research and Therapeutic Insights
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Area of Science:

  • Immunology
  • Hepatology
  • Genomics

Background:

  • The liver acts as a crucial immune organ, detecting and clearing pathogens.
  • Liver immune responses shift from tolerance to active states during infections.
  • Understanding liver cell heterogeneity is vital for developing new therapies.

Purpose of the Study:

  • To review advancements in high-throughput single-cell technologies for studying liver infections.
  • To redefine liver function in infectious diseases using single-cell data.
  • To identify novel pathogenic pathways and therapeutic targets.

Main Methods:

  • Review of high-throughput single-cell technologies.
  • Analysis of single-cell data from various liver infections.
  • Integration of multiomics and spatial transcriptomics.

Main Results:

  • Single-cell technologies enable detailed analysis of liver immune cell heterogeneity.
  • New insights into pathogenic pathways in hepatitis B, C, Plasmodium, schistosomiasis, endotoxemia, and COVID-19.
  • Identification of potential therapeutic targets for infectious liver diseases.

Conclusions:

  • High-throughput single-cell technologies are revolutionizing liver disease research.
  • Understanding cellular dynamics is key to improving interventions for infectious liver conditions.
  • Future integration with multiomics and clinical data will enhance patient stratification and treatment.