Understanding the role of toggle genes in chronic lymphocytic leukemia proliferation.

IF 3.5 2区 生物学 Q1 MATHEMATICAL & COMPUTATIONAL BIOLOGY
Olga Sirbu, Gunjan Agarwal, Alessandro Giuliani, Kumar Selvarajoo
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引用次数: 0

Abstract

Cancer cell populations, such as chronic lymphocytic leukemia (CLL), are characterized by aberrant proliferation and plasticity: cells may switch between states so increasing population heterogeneity. Previous works have shown that gene expression noise can impact cell-state transition. To gain better insights into transcriptome-wide expression dynamics and the effect of noise on state transition, here we investigate RNA-Seq data of proliferative (PC) and non-proliferative (NPC) CLL cells. Various data analytics were applied to the whole transcriptome, switch-like toggle (ON/OFF) genes, temporal differentially expressed (DE) genes, and randomly selected genes. Collectively, we identified 2713 temporal DE genes (DESeq2 with 4-fold, p < 0.05) and 1704 toggle genes shaping the differentiation process over a period of 96 h, with 604 overlapping genes between them. Despite their lower numbers compared to DE, toggle genes contributed significantly to gene expression noise in both cell types. Toggle gene analyses revealed the enrichment of genes involved in processes such as G-alpha signaling and muscle contraction as proliferation related RHO-GTPase, interleukin and chemokine signaling, and lymphoid cell communication. Thus, toggle genes, although being random ON/OFF genes, show gene expression functional variability. These results suggest that toggle genes play an important role in shaping cell population plasticity.

了解toggle基因在慢性淋巴细胞白血病增殖中的作用。
癌症细胞群,如慢性淋巴细胞白血病(CLL),具有异常增殖和可塑性的特点:细胞可以在状态之间切换,从而增加了群体的异质性。先前的研究表明,基因表达噪声可以影响细胞状态的转变。为了更好地了解转录组表达动态和噪声对状态转换的影响,我们研究了增殖性CLL细胞(PC)和非增殖性CLL细胞(NPC)的RNA-Seq数据。各种数据分析应用于整个转录组、开关开关(ON/OFF)基因、时间差异表达(DE)基因和随机选择的基因。总的来说,我们鉴定了2713个时间DE基因(DESeq2与4倍,p
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来源期刊
NPJ Systems Biology and Applications
NPJ Systems Biology and Applications Mathematics-Applied Mathematics
CiteScore
5.80
自引率
0.00%
发文量
46
审稿时长
8 weeks
期刊介绍: npj Systems Biology and Applications is an online Open Access journal dedicated to publishing the premier research that takes a systems-oriented approach. The journal aims to provide a forum for the presentation of articles that help define this nascent field, as well as those that apply the advances to wider fields. We encourage studies that integrate, or aid the integration of, data, analyses and insight from molecules to organisms and broader systems. Important areas of interest include not only fundamental biological systems and drug discovery, but also applications to health, medical practice and implementation, big data, biotechnology, food science, human behaviour, broader biological systems and industrial applications of systems biology. We encourage all approaches, including network biology, application of control theory to biological systems, computational modelling and analysis, comprehensive and/or high-content measurements, theoretical, analytical and computational studies of system-level properties of biological systems and computational/software/data platforms enabling such studies.
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