相关实验视频

Updated: Jun 21, 2025

Optimization of a Multiplex RNA-based Expression Assay Using Breast Cancer Archival Material

Optimization of a Multiplex RNA-based Expression Assay Using Breast Cancer Archival Material

Published on: August 1, 2018

用先进的RNA-Seq分析识别乳腺癌中带淋巴结转移的关键基因:使用GLMQL和MAS的方法方法方法:使用先进的RNA-Seq分析识别参与带淋巴结转移的关键基因

Mostafa Rezapour¹, Robert Wesolowski², Metin Nafi Gurcan¹

¹Center for Artificial Intelligence Research, Wake Forest University School of Medicine, Winston-Salem, NC 27101, USA.

International journal of molecular sciences

|July 13, 2024

概括

这项研究使用先进的RNA-Seq分析确定了乳腺癌淋巴结转移的关键基因. 新的方法精确地确定了ERBB2和SPRR家族成员等基因,这对于向治疗至关重要.

科学领域:

在瘤学瘤学.
生物信息学是一种生物信息学.
基因组学就是基因组学.

背景情况:

癌症研究中的RNA-Seq数据分析带来了方法上的挑战,特别是在识别与状淋巴结转移 (ALNM) 相关的基因方面.
传统的统计方法往往无法充分解决RNA-Seq计数数据的离散性和过度分散性.

研究的目的:

为了提高涉及乳腺癌ALNM关键基因的识别.
开发一种更准确的方法来分析癌症研究中的RNA-Seq数据.
为早期干预和有针对性的治疗开发提供见解.

主要方法:

利用近似概率 (GLMQLs) 的通用线性模型来处理RNA-Seq数据特征.
使用M值的修剪平均值 (TMM) 进行规范化,以纠正特定图书馆的组成偏差.
从TCGA BRCA数据集中对104名未经治疗的乳腺癌患者的队列进行了聚焦分析,使用MAS系统分析蛋白质编码基因.

主要成果:

确定了几种与乳腺癌中ALNM显著相关的基因,包括ERBB2,CCNA1,FOXC2,LEFTY2,VTN,ACKR3和PTGS2.
突出了这些基因在关键癌症过程中的参与,如细胞亡,上皮细胞-介质细胞过渡和血管生成.
强调了小蛋白丰富蛋白 (SPRR) 家族 (SPRR2B,SPRR2E,SPRR2D) 和染色素调节转录 (H3C10,H1-2,PADI4) 在癌症进展中的重要性.

结论:

开发的GLMQLs和MAS方法为癌症研究中的RNA-Seq数据分析提供了一个强大的方法.
这些已识别的基因为乳腺癌转移的分子机制提供了新的见解.
这些发现可以有助于开发预测模型和针对ALNM的向治疗策略.

关键词:

RNA测序 (RNA-Seq) 是指RNA的测序方式.轴心淋巴结转移 (ALNM) 的情况乳腺癌乳腺癌乳腺癌基因表达分析基因表达分析一般化的线性模型.准概率 F 试验测试

更多相关视频

A Robust Discovery Platform for the Identification of Novel Mediators of Melanoma Metastasis

A Robust Discovery Platform for the Identification of Novel Mediators of Melanoma Metastasis

Published on: March 8, 2022

Discovery of Driver Genes in Colorectal HT29-derived Cancer Stem-Like Tumorspheres

Discovery of Driver Genes in Colorectal HT29-derived Cancer Stem-Like Tumorspheres

Published on: July 22, 2020

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...

lncRNA - Long Non-coding RNAs

lncRNA - Long Non-coding RNAs

In humans, more than 80% of the genome gets transcribed. However, only around 2% of the genome codes for proteins. The remaining part produces non-coding RNAs which includes ribosomal RNAs, transfer RNAs, telomerase RNAs, and regulatory RNAs, among other types. A large number of regulatory non-coding RNAs have been classified into two groups depending upon their length – small non-coding RNAs, such as microRNA, which are less than 200 nucleotides in length, and long non-coding RNA...