相关实验视频

Updated: Jun 16, 2025

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

在空间转录组学中识别差异表达基因的统计方法的比较研究

Yishan Wang^1,2, Chenxuan Zang¹, Ziyi Li¹

¹Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.

bioRxiv : the preprint server for biology

|March 3, 2025

概括

一个新的通用分数测试 (GST) 通过计算空间相关性来改进空间转录组学分析,减少癌症研究中的错误阳性. 这种强大的方法提高了复杂组织的基因表达分析准确度.

科学领域:

基因组学和生物信息学
计算生物学计算生物学
癌症研究癌症研究

背景情况:

空间转录学 (ST) 提供了对组织架构中的基因表达的洞察,这对于理解癌症至关重要.
像Seurat这样的当前ST分析工具经常使用Wilcoxon排名和值测试,这忽略了空间相关性.
忽视空间相关性可能导致虚假阳性率膨胀和ST数据中的生物发现不准确.

研究的目的:

开发和验证一种强大的统计方法,用于空间转录学中的差异基因表达分析.
通过结合空间相关性来解决现有方法的局限性.
为了提高识别生物相关基因表达变化的准确性,在复杂的组织如瘤.

主要方法:

在通用估计方程 (GEE) 框架内提出了通用分数测试 (GST).
将GST与威尔科克森等级总和测试进行比较,并将GEE与强大的沃尔德测试进行比较.
进行模拟并将方法应用于乳腺癌和前列腺癌ST数据集.

主要成果:

在模拟中,GST展示了优越的I型错误控制和与现有方法相比较的功率.
癌症数据集中的GST识别的差异表达基因在癌症进展途径中得到了丰富.
威尔科克森测试确定了富含非癌症途径的基因,并产生了显著的错误阳性.

结论:

拟议的GST方法是空间转录学中差异基因表达分析的强大而准确的方法.
GST有效地解释了空间相关性,从而更可靠地识别了与癌症相关的基因表达变化.
R包"SpatialGEE"实现了GST方法,用于ST数据分析的更广泛应用.

关键词:

在GEEEE中,GEEEE是指GEEEE.一种类型I错误的错误.威尔科克森的等级总和测试.不同的表达方式,不同的表达方式.一般化得分测试的测试结果.空间转录学空间转录学

更多相关视频

Three Differential Expression Analysis Methods for RNA Sequencing: limma, EdgeR, DESeq2

Three Differential Expression Analysis Methods for RNA Sequencing: limma, EdgeR, DESeq2

Published on: September 18, 2021

Author Spotlight: Exploring Advanced Therapeutic Targets in Osteosarcoma Through Spatial Transcriptomics

Author Spotlight: Exploring Advanced Therapeutic Targets in Osteosarcoma Through Spatial Transcriptomics

Published on: May 3, 2024

相关概念视频

Ribosome Profiling

Ribosome Profiling

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.
Applications of ribosome profiling
Ribosome profiling has many applications, including in vivo monitoring of translation inside a particular organ or tissue type and quantifying new protein synthesis levels.
The technique...

DNA Microarrays

DNA Microarrays

Microarrays are high-throughput and relatively inexpensive assays that can be automated to analyze large quantities of data at a time. They are used in genome-wide studies to compare gene or protein expression under two varied conditions, such as healthy and diseased states. Microarrays consist of glass or silica slides on which probe molecules are covalently attached through surface functionalization. Most commonly, the slides are prepared through the chemisorption of silanes to silica...