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ScRNA-seq and ST-seq in liver research
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作者 Jia He Chengxiang Deng +1 位作者 leonard krall Zhao Shan 《Cell Regeneration》 CAS 2023年第1期375-385,共11页
Spatial transcriptomics,which combine gene expression data with spatial information,has quickly expanded in recent years.With application of this method in liver research,our knowledge about liver development,regenera... Spatial transcriptomics,which combine gene expression data with spatial information,has quickly expanded in recent years.With application of this method in liver research,our knowledge about liver development,regeneration,and diseases have been greatly improved.While this field is moving forward,a variety of problems still need to be addressed,including sensitivity,limited capacity to obtain exact single-cell information,data processing methods,as well as others.Methods like single-cell RNA sequencing(scRNA-seq)are usually used together with spatial transcriptome sequencing(ST-seq)to clarify cell-specific gene expression.In this review,we explore how advances of scRNA-seq and ST-seq,especially ST-seq,will pave the way to new opportunities to investigate fundamental questions in liver research.Finally,we will discuss the strengths,limitations,and future perspectives of ST-seq in liver research. 展开更多
关键词 Liver development Liver regeneration Liver disease Single-cell RNA sequencing Spatial transcriptome sequencing
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