2023
DOI: 10.1186/s11658-023-00426-z
|View full text |Cite
|
Sign up to set email alerts
|

Single-cell transcriptome analysis reveals liver injury induced by glyphosate in mice

Abstract: Background Glyphosate (GLY), as the active ingredient of the most widely used herbicide worldwide, is commonly detected in the environment and living organisms, including humans. Its toxicity and carcinogenicity in mammals remain controversial. Several studies have demonstrated the hepatotoxicity of GLY; however, the underlying cellular and molecular mechanisms are still largely unknown. Methods Using single-cell RNA sequencing (scRNA-seq), immunof… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

0
2
0

Year Published

2023
2023
2024
2024

Publication Types

Select...
7

Relationship

0
7

Authors

Journals

citations
Cited by 10 publications
(2 citation statements)
references
References 84 publications
0
2
0
Order By: Relevance
“…Nonetheless, even within the same cell type, gene expression at the microscopic level exhibits certain dissimilarities. In contrast, scRNA-seq technology enables the amplification and sequencing of the complete transcriptome of a single cell, facilitating the identification of overall gene expression and distribution information in individual cells [ 34 ]. This approach accurately portrays cell heterogeneity and classifies previously rare cell subpopulations, greatly contributing to a deeper understanding of the transcriptional profiles of diverse macrophage populations and their functional disparities in disease models [ 35 ].…”
Section: Development and Classification Of Macrophagesmentioning
confidence: 99%
“…Nonetheless, even within the same cell type, gene expression at the microscopic level exhibits certain dissimilarities. In contrast, scRNA-seq technology enables the amplification and sequencing of the complete transcriptome of a single cell, facilitating the identification of overall gene expression and distribution information in individual cells [ 34 ]. This approach accurately portrays cell heterogeneity and classifies previously rare cell subpopulations, greatly contributing to a deeper understanding of the transcriptional profiles of diverse macrophage populations and their functional disparities in disease models [ 35 ].…”
Section: Development and Classification Of Macrophagesmentioning
confidence: 99%
“…Therefore, it is difficult to provide complete information about tumour cells by traditional research methods alone. In recent years, the rapid development of single-cell omics has allowed us to understand the changes in a cell population, biochemical characteristics, and immune status of tumour tissues during disease progression [ 10 ]. In addition, single-cell RNA-sequencing (scRNA-seq) combined with various immunofluorescence techniques can analyze tumour cells at multiple levels and perspectives.…”
Section: Introductionmentioning
confidence: 99%