Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Genome-wide Association Studies-GWAS01:11

Genome-wide Association Studies-GWAS

15.3K
Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
GWAS does not require the identification of the target gene involved in...
15.3K

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Spatial Transcriptomic Analysis Identifies a <i>SERPINA3</i>-Expressing Astrocytic State Associated with the Human Neuritic Plaque Microenvironment.

bioRxiv : the preprint server for biology·2024
Same author

Correction: Gas6 induces infammation and reduces plaque burden but worsens behavior in a sex-dependent manner in the APP/PS1 model of Alzheimer's disease.

Journal of neuroinflammation·2023
Same author

Inconsistent Effects of Glatiramer Acetate Treatment in the 5xFAD Mouse Model of Alzheimer's Disease.

Pharmaceutics·2023
Same author

Repopulated microglia induce expression of Cxcl13 with differential changes in Tau phosphorylation but do not impact amyloid pathology.

Journal of neuroinflammation·2022
Same author

Gas6 induces inflammation and reduces plaque burden but worsens behavior in a sex-dependent manner in the APP/PS1 model of Alzheimer's disease.

Journal of neuroinflammation·2022
Same author

Evaluating Effects of Glatiramer Acetate Treatment on Amyloid Deposition and Tau Phosphorylation in the 3xTg Mouse Model of Alzheimer's Disease.

Frontiers in neuroscience·2021

相关实验视频

Updated: Jan 16, 2026

Mapping Alzheimer's Disease Variants to Their Target Genes Using Computational Analysis of Chromatin Configuration
04:41

Mapping Alzheimer's Disease Variants to Their Target Genes Using Computational Analysis of Chromatin Configuration

Published on: January 9, 2020

19.3K

通过将空间转录学与人类遗传学相结合,绘制疾病关键的空间变量基因程序.

Hanbyul Lee1, Haochen Sun1, Xuewei Cao1,2

  • 1Computational and Systems Biology, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA.

bioRxiv : the preprint server for biology
|October 3, 2025
PubMed
概括
此摘要是机器生成的。

Spacelink 增强了多个分辨率的空间变量基因 (SVGs) 的检测. 这个框架将空间基因表达与复杂的特征和疾病联系起来,为组织组织和神经退行提供了新的见解.

更多相关视频

Mining Spatial Transcriptomics Datasets using DeepSpaceDB
10:16

Mining Spatial Transcriptomics Datasets using DeepSpaceDB

Published on: September 5, 2025

657
Spatial Profiling of Protein and RNA Expression in Tissue: An Approach to Fine-Tune Virtual Microdissection
09:19

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

Published on: July 6, 2022

5.4K

相关实验视频

Last Updated: Jan 16, 2026

Mapping Alzheimer's Disease Variants to Their Target Genes Using Computational Analysis of Chromatin Configuration
04:41

Mapping Alzheimer's Disease Variants to Their Target Genes Using Computational Analysis of Chromatin Configuration

Published on: January 9, 2020

19.3K
Mining Spatial Transcriptomics Datasets using DeepSpaceDB
10:16

Mining Spatial Transcriptomics Datasets using DeepSpaceDB

Published on: September 5, 2025

657
Spatial Profiling of Protein and RNA Expression in Tissue: An Approach to Fine-Tune Virtual Microdissection
09:19

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

Published on: July 6, 2022

5.4K

科学领域:

  • 基因组学就是基因组学.
  • 计算生物学 计算生物学
  • 系统生物学 系统生物学

背景情况:

  • 空间基因表达对组织组织,发育和疾病至关重要.
  • 目前用于检测空间变量基因 (SVG) 的现有方法在灵活性,稳定性和与遗传数据的整合方面存在局限性.

研究的目的:

  • 介绍Spacelink,一个统一的框架来建模和量化多个分辨率的空间基因变异性.
  • 评估Spacelink在将空间基因表达模式连接到复杂的特征,疾病和发育过程中的实用性.

主要方法:

  • Spacelink使用数据驱动空间内核的自适应混合物来建模空间变性.
  • 它计算了基因的有效空间变量 (ESV) 度量.
  • 该框架在各种数据集上得到了验证,包括Visium,CosMx和Stereo-seq,并应用于人类组织和小鼠器官生成图谱.

主要成果:

  • 与现有的SVG方法相比,Spacelink展示了优越的检测能力 (高达3.2倍) 和虚假发现率 (FDR) 控制.
  • 它显示了更高的跨平台一致性,并揭示了SVG对113种复杂的特征和疾病具有高度信息性.
  • 对小鼠发育和阿尔茨海默病 (AD) 病理学的分析确定了与阶段相关的和与病理相关的SVGs,将它们与相关途径和遗传风险因素联系起来.

结论:

  • Spacelink提供了一个灵活而强大的框架,用于在多个尺度上分析空间基因表达.
  • 该方法有效地将空间基因模式与复杂的特征,发育生物学和神经退行性疾病联系起来.
  • Spacelink促进了与疾病遗传学和进展相关的空间结构基因程序的发现.