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

Difference from Background: Limit of Detection01:05

Difference from Background: Limit of Detection

8.0K
The limit of detection (LOD) is the smallest amount of analyte that can be distinguished from the background noise. The LOD value corresponds to the concentration at which the analyte signal is three times larger than the standard deviation of the blank signal. Below this value, the analyte signal cannot be differentiated from the background noise. It is calculated by dividing the calibration slope by 3 times the standard deviation of the blank signals.
The LOD indicates the presence or absence...
8.0K

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

Determinants of mortality from bovine respiratory disease in Australian feedlot cattle: A survival analysis.

Preventive veterinary medicine·2026
Same author

Unexpected widespread amyloid PET positivity in a patient with CADASIL.

Journal of neurology·2026
Same author

Early and severe masticatory muscle involvement in SOD1-ALS: a case report with biomarker-clinical dissociation.

Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology·2026
Same author

A PbS quantum dot film as a hole transport layer for self-powered AgBiS<sub>2</sub> nanocrystal photodetectors.

Chemical communications (Cambridge, England)·2026
Same author

Artificial intelligence for detecting fetal orofacial clefts and advancing medical education.

Nature communications·2026
Same author

HER2∆16 directs luminal cell identity and estrogen receptor signaling in HER2+ breast cancer.

Nature communications·2026

相关实验视频

Updated: Jan 16, 2026

Author Spotlight: An Optimized Automated Method for Investigating Retinoic Acid Receptors in Neuronal Mitochondria
08:33

Author Spotlight: An Optimized Automated Method for Investigating Retinoic Acid Receptors in Neuronal Mitochondria

Published on: July 28, 2023

956

减少rAAV干扰可以提高rcAAV检测灵敏度.

Ming Yang1,2, Sana Shaheen1, Keying Yang1

  • 1State Key Laboratory of Genetics and Development of Complex Phenotypes and Engineering Research Center of Gene Technology (Ministry of Education), School of Life Sciences, Zhongshan Hospital, Fudan University, Shanghai 200438, China.

Molecular therapy. Methods & clinical development
|September 29, 2025
PubMed
概括

在基因疗法中,复制能力强的腺相关病毒 (rcAAV) 污染很难被检测出来. 一种基于CRISPR的新方法提高了检测灵敏度,防止了重组腺相关病毒 (rAAV) 生产中的假阴性.

关键词:
克里斯普尔-Cas9是什么意思腺相关病毒载体病毒载体假阴性结果是错误的.有能力复制的AAV具有复制能力.

更多相关视频

Detection and Isolation of Cancer in Prostate Biopsies Using Stimulated Raman Histology and Artificial Intelligence
08:05

Detection and Isolation of Cancer in Prostate Biopsies Using Stimulated Raman Histology and Artificial Intelligence

Published on: June 10, 2025

1.1K
Monitoring Leucine-Rich Repeat Containing 8 Channel (LRRC8/VRAC) Activity Using Sensitized-Emission F&#246;rster Resonance Energy Transfer (SE-FRET)
08:54

Monitoring Leucine-Rich Repeat Containing 8 Channel (LRRC8/VRAC) Activity Using Sensitized-Emission Förster Resonance Energy Transfer (SE-FRET)

Published on: August 9, 2024

859

相关实验视频

Last Updated: Jan 16, 2026

Author Spotlight: An Optimized Automated Method for Investigating Retinoic Acid Receptors in Neuronal Mitochondria
08:33

Author Spotlight: An Optimized Automated Method for Investigating Retinoic Acid Receptors in Neuronal Mitochondria

Published on: July 28, 2023

956
Detection and Isolation of Cancer in Prostate Biopsies Using Stimulated Raman Histology and Artificial Intelligence
08:05

Detection and Isolation of Cancer in Prostate Biopsies Using Stimulated Raman Histology and Artificial Intelligence

Published on: June 10, 2025

1.1K
Monitoring Leucine-Rich Repeat Containing 8 Channel (LRRC8/VRAC) Activity Using Sensitized-Emission F&#246;rster Resonance Energy Transfer (SE-FRET)
08:54

Monitoring Leucine-Rich Repeat Containing 8 Channel (LRRC8/VRAC) Activity Using Sensitized-Emission Förster Resonance Energy Transfer (SE-FRET)

Published on: August 9, 2024

859

科学领域:

  • 基因治疗 基因治疗
  • 病毒学 病毒学
  • 分子生物学分子生物学

背景情况:

  • 具有复制能力的腺相关病毒 (rcAAV) 是用于基因治疗的重组腺相关病毒 (rAAV) 生产中的关键污染物.
  • 目前用于检测rcAAV的黄金标准qPCR方法可能会由于高rAAV标位的干扰而产生假阴性结果.

研究的目的:

  • 为了解决当前rcAAV检测方法的局限性.
  • 开发一种更灵敏的试验,用于在rAAV生产中准确量化rcAAV.

主要方法:

  • 在HEK293细胞中过度表达SpCas9.
  • 通过重组腺病毒血清型5 (rAd5) 输送单导向RNA (sgRNA),以准并分裂rAAV基因组.
  • 定量PCR (qPCR) 分析以检测剩余的rcAAV基因组.

主要成果:

  • 基于CRISPR的测定成功检测出低水平的rcAAV (只有3E2载体基因组).
  • 传统的qPCR方法未能在同一样本批中检测到这些低rcAAV水平.
  • 与传统方法相比,在rcAAV检测中表现出更好的灵敏度和准确性.

结论:

  • 高的rAAV标位干扰了准确的rcAAV检测,导致潜在的错误阴性.
  • 一种基于CRISPR-Cas9的测定方法显著提高了rcAAV检测的灵敏度.
  • 这种改进的检测方法对于确保基因治疗产品的安全性和有效性至关重要.