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Ribosome Profiling

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Ribosome profiling or ribo-sequencing is a deep sequencing technique that produces a snapshot of active translation in a cell. It selectively sequences the mRNAs protected by ribosomes to get an insight into a cell’s translation landscape at any given point in time.
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Updated: Jan 10, 2026

Droplet Barcoding-Based Single Cell Transcriptomics of Adult Mammalian Tissues

Droplet Barcoding-Based Single Cell Transcriptomics of Adult Mammalian Tissues

Published on: January 10, 2019

解读人类PBMC异构体:异形级分辨率与单细胞长读转录组学.

Patricia Hayes Doyle^1,2, Madeline L Page^1,2,3, J Anthony Brandon^1,2,3

¹Sanders-Brown Center on Aging, University of Kentucky, Lexington, KY, USA.

bioRxiv : the preprint server for biology

|November 24, 2025

概括

此摘要是机器生成的。

长期阅读的单细胞测序揭示了人类免疫细胞中的新型RNA异型. 这种先进的方法绘制完整的"同位体"图,以更好地了解细胞多样性和疾病.

关键词:

基因基因基因基因基因基因组学就是基因组学.异形异形是什么意思?长时间阅读这是一个纳米孔.在线播放在线播放这是PBMC的PBMC.这就是PIPseqq的意义.这是一个RNARNARNARNARNA.血液血液血液血液血液免疫系统是免疫系统的.是一个同义词.纳米孔测序的测序这就是scRNA-seqq.测序的测序是指测序的测序.

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Isolation of Adipose Tissue Nuclei for Single-Cell Genomic Applications

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A Combinatorial Single-cell Approach to Characterize the Molecular and Immunophenotypic Heterogeneity of Human Stem and Progenitor Populations

A Combinatorial Single-cell Approach to Characterize the Molecular and Immunophenotypic Heterogeneity of Human Stem and Progenitor Populations

Published on: October 25, 2018

相关实验视频

Last Updated: Jan 10, 2026

Droplet Barcoding-Based Single Cell Transcriptomics of Adult Mammalian Tissues

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Published on: January 10, 2019

Isolation of Adipose Tissue Nuclei for Single-Cell Genomic Applications

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Published on: June 12, 2020

A Combinatorial Single-cell Approach to Characterize the Molecular and Immunophenotypic Heterogeneity of Human Stem and Progenitor Populations

A Combinatorial Single-cell Approach to Characterize the Molecular and Immunophenotypic Heterogeneity of Human Stem and Progenitor Populations

Published on: October 25, 2018

科学领域:

基因组学就是基因组学.
分子生物学分子生物学
免疫学免疫学免疫学

背景情况:

短读测序限制细胞多样性的异形水平分析.
了解细胞类型特定的基因表达需要异型分辨率.
长读测序提供了一条通往更深层次的生物学见解的道路.

研究的目的:

为了生成迄今为止最大的长时间读取的人类外周血液单核细胞 (PBMC) 的单细胞数据集.
描述免疫细胞类型的异型使用情况,并发现新的异型.
为了整合异形发现与标记基因表达功能上下文.

主要方法:

使用了经过修改的,无微流体的PIPseq工作流.
针对牛津纳米孔长读序列的计算管道进行了调整.
生成并分析了人类PBMCs的大规模长时间读取的单细胞数据集.

主要成果:

从已知和新基因中确定了128种新型异构体,具有细胞类型特定的模式.
在各种免疫细胞类型中特征标记基因异型表达.
发现了非正规的蛋白质编码变体和新的转录 (例如,来自GZMB,CD3G,CMC1,LYAR),在特定细胞群中进行丰富.

结论:

长时间读取的单细胞测序增强了在它们的生物环境中对异构体特征的研究.
这种方法为绘制健康和疾病中的异形景观 (异构体) 提供了一个强大的工具.
这些发现扩大了长期研究的单细胞技术的实用性,用于详细的细胞和分子研究.