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相关概念视频

Brain Imaging01:14

Brain Imaging

193
Brain imaging technologies provide critical insights into both the structure and function of the human brain, enabling medical professionals and researchers to diagnose, study, and treat neurological disorders or psychiatric disorders more effectively.
These technologies include computerized axial tomography (CAT or CT scans), positron-emission tomography (PET scans),  magnetic resonance imaging (MRI),  functional magnetic resonance imaging (fMRI), and Transcranial Magnetic...
193

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相关实验视频

Updated: May 7, 2025

Spatial Profiling of Protein and RNA Expression in Tissue: An Approach to Fine-Tune Virtual Microdissection
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空间转录学:生物技术,计算工具和神经科学应用.

Qianwen Wang1, Hongyuan Zhu1, Lin Deng1

  • 1Department of Bioinformatics, School of Basic Medical Sciences, Southern Medical University, Guangzhou, 510515, China.

Small methods
|January 6, 2025
PubMed
概括
此摘要是机器生成的。

空间转录学 (ST) 提供了研究组织中的基因表达的新方法. 本综述涵盖了ST技术,计算工具及其在理解大脑复杂性和疾病中的使用.

关键词:
生物信息学是一种生物信息学.计算工具是计算工具.神经科学 神经科学空间转录学 空间转录学

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科学领域:

  • 分子生物学分子生物学
  • 神经科学是一个神经科学.
  • 基因组学就是基因组学.

背景情况:

  • 空间转录学 (ST) 在组织架构中彻底改变了基因表达分析.
  • 了解空间基因表达对于像大脑这样的复杂生物系统至关重要.

研究的目的:

  • 审查ST技术和计算工具的进展.
  • 突出ST在神经科学研究中的应用.
  • 讨论ST对大脑图谱项目,发展和疾病的影响.

主要方法:

  • 从基于图像的方法到基于序列的方法,ST技术的历史概述.
  • 讨论ST数据分析的计算方法 (预处理,注释,聚类等). ) 的情况.
  • 整合3D多片数据的整合.

主要成果:

  • ST提供了对大脑复杂性,发育和神经免疫疾病的见解.
  • 应用包括阿尔茨海默氏症,精神分裂症和脑瘤研究.
  • ST增强了对神经元脆弱性的理解.

结论:

  • ST对神经科学产生了深刻的影响,为大脑研究提供了变革性的潜力.
  • 挑战包括改进测序技术和计算工具.
  • ST为新的治疗见解铺平了道路.