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Related Concept Videos

Epigenetic Regulation01:37

Epigenetic Regulation

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Epigenetic changes alter the physical structure of the DNA without changing the genetic sequence and often regulate whether genes are turned on or off. This regulation ensures that each cell produces only proteins necessary for its function. For example, proteins that promote bone growth are not produced in muscle cells. Epigenetic mechanisms play an essential role in healthy development. Conversely, precisely regulated epigenetic mechanisms are disrupted in diseases like cancer.
X-chromosome...
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Methyl-binding DNA capture Sequencing for Patient Tissues
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Understanding Diseases from Single-Cell Sequencing and Methylation.

Buwei Yu1, Li Li2,3,4,5, Jiaqiang Zhang6

  • 1Ruijin Hospital, Shanghai Jiaotong University, Shanghai, Shanghai, China.

Advances in Experimental Medicine and Biology
|September 19, 2020
PubMed
Summary

Clinical single-cell biomedicine integrates molecular data with patient information to find new disease biomarkers. This approach, focusing on single-cell sequencing and methylation, offers potential for early diagnosis and treatment of lung diseases.

Keywords:
Clinical diagnosis and treatmentClinical single-cell biomedicineMethodologiesPulmonary diseasesSingle-cell sequencing and methylation

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Area of Science:

  • Single-cell biomedicine
  • Molecular diagnostics
  • Genomics and epigenomics

Background:

  • Clinical single-cell biomedicine integrates single-cell omics (RNA, DNA sequencing, proteomics) with clinical data.
  • It holds significant value for identifying disease-specific biomarkers and therapeutic targets.
  • Understanding cellular heterogeneity is crucial for personalized medicine.

Purpose of the Study:

  • To review the roles of single-cell sequencing and methylation in various diseases.
  • To explore disease-specific alterations in single-cell sequencing and methylation, particularly in pulmonary diseases.
  • To highlight the clinical applications, challenges, and standardization needs for single-cell methodologies.

Main Methods:

  • Analysis of single-cell RNA and DNA sequencing data.
  • Investigation of DNA and RNA methylation patterns in disease contexts.
  • Exploration of signaling pathways involved in cellular responses to treatment.

Main Results:

  • Disease-specific alterations in single-cell sequencing and methylation are identified.
  • Potential correlations between these molecular changes and pulmonary diseases are explored.
  • The role of signaling pathways in heterogeneous cellular responses is examined.

Conclusions:

  • Single-cell sequencing and methylation measurements have potential for clinical diagnosis and treatment.
  • Standardization of single-cell preparation is crucial for clinical practice.
  • This approach shows promise for understanding and treating non-cancer diseases.