Your browser doesn't support javascript.
loading
Show: 20 | 50 | 100
Results 1 - 4 de 4
Filter
1.
Chinese Journal of Digestive Surgery ; (12): 663-666, 2023.
Article in Chinese | WPRIM | ID: wpr-990688

ABSTRACT

The liver is a highly proliferative organ. As the liver injured, the hepatocytes can quickly enter the cell cycle to restore the volume and function of liver. Liver regeneration involves complex processes that depend on the interaction of many different cell types. As limited by the average cell change level in tissues, traditional sequencing methods can only acquire the average genetic information reflecting dominant cell subpopulations, but ignore the secondary cell subpopu-lations, which leads to the loss of cellular heterogeneity information. Single-cell sequencing tech-nology can analyze the biological behavior of single cell, which helps to better understand the distri-bution, interaction and cell heterogeneity of different cells during liver regeneration. The authors review the application of single cell sequencing technology in liver regeneration.

2.
China Journal of Chinese Materia Medica ; (24): 2456-2460, 2021.
Article in Chinese | WPRIM | ID: wpr-879147

ABSTRACT

Single-cell transcriptome sequencing(scRNA-seq) can be used to analyze the expression characteristics of the transcriptome at the level of individual cell, and discover the heterogeneity of gene expression in individual cell that is "diluted" or averaged in study of group organization. The scRNA-seq, with the characteristics of standardization, high-throughput, and high integration, can greatly simplify the experimental operation and significantly reduce the consumption of reagents. At the same time, a variety of cells are screened and the gene expression patterns are analyzed at the single-cell level to provide a more efficient detection technique and more rich and accurate information for drug research. In the field of traditional Chinese medicine(TCM), the scRNA-seq is still a new technology, but the individual and precision concepts embodied by scRNA-seq and the theory of TCM syndrome differentiation and treatment have reached the same effect between the micro and macro aspects. This study tried to broaden the thinking for the modernization of TCM by introducing the development of scRNA-seq technology and its application in modern drug research and discussing the application prospects of scRNA-seq in TCM research.


Subject(s)
Gene Expression Profiling , Medicine, Chinese Traditional , Reference Standards , Sequence Analysis, RNA , Single-Cell Analysis , Transcriptome
3.
Genomics, Proteomics & Bioinformatics ; (4): 234-243, 2018.
Article in English | WPRIM | ID: wpr-772985

ABSTRACT

DNA methylation is an important epigenetic mark that plays a vital role in gene expression and cell differentiation. The average DNA methylation level among a group of cells has been extensively documented. However, the cell-to-cell heterogeneity in DNA methylation, which reflects the differentiation of epigenetic status among cells, remains less investigated. Here we established a gold standard of the cell-to-cell heterogeneity in DNA methylation based on single-cell bisulfite sequencing (BS-seq) data. With that, we optimized a computational pipeline for estimating the heterogeneity in DNA methylation from bulk BS-seq data. We further built HeteroMeth, a database for searching, browsing, visualizing, and downloading the data for heterogeneity in DNA methylation for a total of 141 samples in humans, mice, Arabidopsis, and rice. Three genes are used as examples to illustrate the power of HeteroMeth in the identification of unique features in DNA methylation. The optimization of the computational strategy and the construction of the database in this study complement the recent experimental attempts on single-cell DNA methylomes and will facilitate the understanding of epigenetic mechanisms underlying cell differentiation and embryonic development. HeteroMeth is publicly available at http://qianlab.genetics.ac.cn/HeteroMeth.


Subject(s)
Animals , Humans , Mice , Arabidopsis , Genetics , Cell Line , Computer Simulation , DNA Methylation , Genetics , Databases, Genetic , Entropy , Genetic Heterogeneity , Genome , High-Throughput Nucleotide Sequencing , Oryza , Genetics , Reference Standards , Reproducibility of Results , Sequence Analysis, DNA , Single-Cell Analysis , User-Computer Interface
4.
International Journal of Stem Cells ; : 9-17, 2015.
Article in English | WPRIM | ID: wpr-171264

ABSTRACT

Intimal accumulation of smooth muscle cells contributes to the development and progression of atherosclerotic lesions and restenosis following endovascular procedures. Arterial smooth muscle cells display heterogeneous phenotypes in both physiological and pathological conditions. In response to injury, dedifferentiated or synthetic smooth muscle cells proliferate and migrate from the tunica media into the intima. As a consequence, smooth muscle cells in vascular lesions show a prevalent dedifferentiated phenotype compared to the contractile appearance of normal media smooth muscle cells. The discovery of abundant stem antigen-expressing cells in vascular lesions also rarely detected in the tunica media of normal adult vessels stimulated a great scientific debate concerning the possibility that proliferating vascular wall-resident stem cells accumulate into the neointima and contribute to the progression of lesions. Although several experimental studies support this hypothesis, others researchers suggest a positive effect of stem cells on plaque stabilization. So, the real contribute of vascular wall-resident stem cells to pathological vascular remodelling needs further investigation. This review will examine the evidence and the contribution of vascular wall-resident stem cells to arterial pathobiology, in order to address future investigations as potential therapeutic target to prevent the progression of vascular diseases.


Subject(s)
Adult , Humans , Endovascular Procedures , Myocytes, Smooth Muscle , Neointima , Pathology , Phenotype , Stem Cells , Tunica Media , Vascular Diseases
SELECTION OF CITATIONS
SEARCH DETAIL