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

相关实验视频

Updated: Jan 13, 2026

Methyl-binding DNA capture Sequencing for Patient Tissues
08:40

Methyl-binding DNA capture Sequencing for Patient Tissues

Published on: October 31, 2016

9.0K

通过DNA甲基化剖析检测全癌症,使用酶转化库准备与有针对性的测序.

Alvida Qvick1, Emma Adolfsson2, Lina Tornéus3

  • 1Clinical Research Center, Faculty of Medicine and Health, Örebro University, SE-701 85 Örebro, Sweden.

International journal of molecular sciences
|October 29, 2025
PubMed
概括

相关概念视频

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

Genomic Medicine Sweden: Advancing precision medicine at the national level.

Journal of internal medicine·2026
Same author

Comparison of library preparation protocols and bioinformatic pipelines in high-throughput 16S rRNA gene sequencing.

BMC microbiology·2026
Same author

Histological and Molecular Evaluation of HPV in Primary Tumors and Lymph Node Metastases of Penile Cancer.

Cancers·2026
Same author

Heritability of Crohn's disease and ulcerative colitis: a Swedish nationwide population-based twin study.

Journal of Crohn's & colitis·2026
Same author

A novel diagnostic serum protein signature for pediatric inflammatory bowel disease.

Journal of pediatric gastroenterology and nutrition·2026
Same author

Plasma protein profiling predicts cancer in patients with non-specific symptoms.

Nature communications·2025
此摘要是机器生成的。

循环无细胞DNA (cfDNA) 的甲基化模式在癌症患者和严重症状患者之间有显著差异. 这种cfDNA甲基化分析显示,作为早期癌症检测的生物标志物,即使在复杂的病例中也是有前途的.

科学领域:

  • 生物标志物 生物标志物
  • 基因组学就是基因组学.
  • 在瘤学瘤学.

背景情况:

  • 从临床上来说,将癌症与严重的非特异性症状区分开来是具有挑战性的.
  • 循环无细胞DNA (cfDNA) 甲基化是癌症检测的一个新兴领域.

研究的目的:

  • 为了研究癌症患者和患有严重,非特异性症状的个体之间的cfDNA甲基化差异.
  • 为癌症检测开发和验证基于cfDNA甲基化的分类器.

主要方法:

  • 在229名患者 (37名癌症患者) 的血cfDNA甲基化分析中.
  • 使用了NEBNext工作流,Twist泛癌甲基化面板,nf-core/methylseq和DMRichR进行分析.
  • 开发了一种具有交叉验证和外部验证的机器学习分类器.

主要成果:

  • 癌症样本的整体CpG甲基化水平较高 (1.82%对1.34%,p < 0.001).
  • 确定了162个差异甲基化区域 (DMR),其中95.7%在癌症中超甲基化.
  • 机器学习分类器在最终模型中实现了0.88的AUC (83.8%的灵敏度,83.8%的特异性).

结论:

关键词:
cfDNA DNA 的时间.表观遗传学是指表观遗传学.液体活检活检液体活检甲基化处理的方法这是下一代测序.胰腺癌是一种癌症.

更多相关视频

Comparative Lesions Analysis Through a Targeted Sequencing Approach
08:16

Comparative Lesions Analysis Through a Targeted Sequencing Approach

Published on: November 5, 2019

7.2K
Comprehensive DNA Methylation Analysis Using a Methyl-CpG-binding Domain Capture-based Method in Chronic Lymphocytic Leukemia Patients
13:21

Comprehensive DNA Methylation Analysis Using a Methyl-CpG-binding Domain Capture-based Method in Chronic Lymphocytic Leukemia Patients

Published on: June 16, 2017

10.5K

相关实验视频

Last Updated: Jan 13, 2026

Methyl-binding DNA capture Sequencing for Patient Tissues
08:40

Methyl-binding DNA capture Sequencing for Patient Tissues

Published on: October 31, 2016

9.0K
Comparative Lesions Analysis Through a Targeted Sequencing Approach
08:16

Comparative Lesions Analysis Through a Targeted Sequencing Approach

Published on: November 5, 2019

7.2K
Comprehensive DNA Methylation Analysis Using a Methyl-CpG-binding Domain Capture-based Method in Chronic Lymphocytic Leukemia Patients
13:21

Comprehensive DNA Methylation Analysis Using a Methyl-CpG-binding Domain Capture-based Method in Chronic Lymphocytic Leukemia Patients

Published on: June 16, 2017

10.5K
  • 独特的cfDNA甲基化模式作为癌症检测的强大的生物标志物.
  • 开发的分类器显示了在患有混杂疾病的患者中识别癌症的潜力.
  • cfDNA甲基化分析为早期癌症诊断提供了一种有前途的非侵入性方法.