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Overview Of Cell Separation And Isolation

Overview Of Cell Separation And Isolation

Cell separation was first achieved in 1964 by S. H. Seal, who separated large tumor cells from the smaller blood cells using filtration. Two years later, Pohl and Hawk performed experiments on how cells respond differently to a nonuniform electric field based on the cell type. Such observations were the inception of cell separation methods, which allow isolating a single cell type from a heterogeneous sample.

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Updated: Jul 26, 2025

Isolation and Profiling of Human Primary Mesenteric Arterial Endothelial Cells at the Transcriptome Level

Isolation and Profiling of Human Primary Mesenteric Arterial Endothelial Cells at the Transcriptome Level

Published on: March 14, 2022

RETROFIT:在空间转录学中,细胞类型混合物的无参考解卷.

Roopali Singh¹, Xi He¹, Adam Keebum Park¹

¹The Pennsylvania State University, University Park, PA 16802.

bioRxiv : the preprint server for biology

|June 19, 2023

概括

RETROFIT是一种新的方法,可以在空间转录组学数据中识别细胞类型,而不需要单独的单细胞数据. 这种无参考方法准确地揭示了组织中的细胞组成和基因表达模式.

科学领域:

计算生物学计算生物学
基因组学就是基因组学.
生物信息学是一种生物信息学.

背景情况:

空间转录组学 (ST) 能够在完整的组织中进行基因表达分析.
ST数据通常包含每个位置的混合细胞类型,使细胞类型特定分析复杂化.
目前的解卷方法依赖于单细胞引用,但这些方法有局限性.

研究的目的:

开发一种新的无参考方法,用于ST数据中的细胞类型的解卷.
克服现有方法的局限性,需要外部单细胞转录基因参考.
准确估计细胞类型的组成,并在空间背景下重建基因表达.

主要方法:

介绍了RETROFIT,这是贝叶斯的方法,用于无参考细胞类型的解卷.
对于ST数据,RETROFIT产生了稀疏且可解释的解决方案.
在来自Slide-seq和Visium平台的合成和真实ST数据集上评估RETROFIT.

主要成果:

与现有的基于参考和无参考方法相比,RETROFIT表现优越.
该方法准确估计了细胞类型组成和重建基因表达.
对人类肠道发育数据的应用揭示了时空空间细胞模式.

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Single-cell RNA-Seq of Defined Subsets of Retinal Ganglion Cells

Single-cell RNA-Seq of Defined Subsets of Retinal Ganglion Cells

Published on: May 22, 2017

Spatial Profiling of Protein and RNA Expression in Tissue: An Approach to Fine-Tune Virtual Microdissection

Spatial Profiling of Protein and RNA Expression in Tissue: An Approach to Fine-Tune Virtual Microdissection

Published on: July 6, 2022

相关实验视频

Last Updated: Jul 26, 2025

Isolation and Profiling of Human Primary Mesenteric Arterial Endothelial Cells at the Transcriptome Level

Isolation and Profiling of Human Primary Mesenteric Arterial Endothelial Cells at the Transcriptome Level

Published on: March 14, 2022

Single-cell RNA-Seq of Defined Subsets of Retinal Ganglion Cells

Single-cell RNA-Seq of Defined Subsets of Retinal Ganglion Cells

Published on: May 22, 2017

Spatial Profiling of Protein and RNA Expression in Tissue: An Approach to Fine-Tune Virtual Microdissection

Spatial Profiling of Protein and RNA Expression in Tissue: An Approach to Fine-Tune Virtual Microdissection

Published on: July 6, 2022

结论:

RETROFIT提供了一种强大而独立的方法来分析空间转录学数据.
该方法增强了对细胞异质性和组织中的空间组织的理解.
RETROFIT是公开的,这有助于在生物研究中得到更广泛的应用.