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B细胞受体交联后的时间性遗传程序:健康和恶性B细胞增殖与死亡之间平衡的改变

Temporal genetic program following B-cell receptor cross-linking: altered balance between proliferation and death in healthy and malignant B cells.

作者信息

Vallat Laurent D, Park Yuhyun, Li Cheng, Gribben John G

机构信息

Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA.

出版信息

Blood. 2007 May 1;109(9):3989-97. doi: 10.1182/blood-2006-09-045377. Epub 2007 Jan 18.

Abstract

Gene expression in cells is a dynamic process but is usually examined at a single time point. We used gene expression profiling over time to build temporal models of gene transcription after B-cell receptor (BCR) signaling in healthy and malignant B cells and chose this as a model since BCR cross-linking induces both cell proliferation and apoptosis, with increased apoptosis in chronic lymphocytic leukemia (CLL) compared to healthy B cells. To determine the basis for this, we examined the global temporal gene expression profile for BCR stimulation and developed a linear combination method to summarize the effect of BCR simulation over all the time points for all patients. Functional learning identified common early events in healthy B cells and CLL cells. Although healthy and malignant B cells share a common genetic pattern early after BCR signaling, a specific genetic program is engaged by the malignant cells at later time points after BCR stimulation. These findings identify the molecular basis for the different functional consequences of BCR cross-linking in healthy and malignant B cells. Analysis of gene expression profiling over time may be used to identify genes that might be rational targets to perturb these pathways.

摘要

细胞中的基因表达是一个动态过程,但通常在单个时间点进行检测。我们利用随时间变化的基因表达谱构建了健康和恶性B细胞中B细胞受体(BCR)信号传导后基因转录的时间模型,并选择以此作为模型,因为BCR交联既能诱导细胞增殖又能诱导细胞凋亡,与健康B细胞相比,慢性淋巴细胞白血病(CLL)中的细胞凋亡增加。为了确定其基础,我们检测了BCR刺激后的全局时间基因表达谱,并开发了一种线性组合方法来总结所有患者在所有时间点上BCR模拟的效果。功能学习确定了健康B细胞和CLL细胞中的常见早期事件。尽管健康和恶性B细胞在BCR信号传导后早期共享共同的遗传模式,但恶性细胞在BCR刺激后的后期时间点会启动特定的遗传程序。这些发现确定了BCR交联在健康和恶性B细胞中产生不同功能后果的分子基础。随时间变化的基因表达谱分析可用于识别可能是干扰这些途径的合理靶点的基因。

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