揭示胚胎间纺锤体长度随时间的变化:实现定量表型分析

IF 3.8 2区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS PLoS Computational Biology Pub Date : 2024-09-05 eCollection Date: 2024-09-01 DOI:10.1371/journal.pcbi.1012330
Yann Le Cunff, Laurent Chesneau, Sylvain Pastezeur, Xavier Pinson, Nina Soler, Danielle Fairbrass, Benjamin Mercat, Ruddi Rodriguez-Garcia, Zahraa Alayan, Ahmed Abdouni, Gary de Neidhardt, Valentin Costes, Mélodie Anjubault, Hélène Bouvrais, Christophe Héligon, Jacques Pécréaux
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引用次数: 0

摘要

如何量化个体间的变异性?在每次实验中测量许多特征,这就提出了如何选择这些特征来再现高维数据的问题。针对纺锤体伸长表型的这一挑战,我们发现只有三种典型的伸长模式能描述优雅子单细胞胚胎中纺锤体的伸长。这些原型是利用主成分分析(PCA)从实验数据中自动提取出来的,在跨越 100 多种不同条件的 1600 多项实验中,占个体间变异的 95% 以上。前两个原型与纺锤体平均长度和无相伸长率有关。第三种原型占变异性的 6%,是一种新的原型,与后期分裂期的短暂纺锤体缩短相对应,让人联想到动点核功能缺陷表型。重要的是,这三种原型对数据集的选择很稳定,即使只考虑非处理条件也能发现。因此,基因扰乱胚胎之间的个体间差异与野生型胚胎之间的自然个体间差异具有相同的基本性质,与温度无关。因此,我们认为,除了纺锤体表面上的复杂性之外,只有三种独立的机制可以解释纺锤体的伸长,而且在不同的条件下权重不同。有趣的是,纺锤体长度原型涵盖了分裂后期和无丝分裂期,这表明分裂后期的纺锤体伸长足以预测无丝分裂后期的长度。我们利用机器学习方法验证了这一观点。最后,这三种原型的特定数量可以代表一种定量表型。为了利用这一点,我们开始根据 PCA 系数预测种子中的相互作用基因。我们首先举例说明了 tpxl-1 的作用,它的同源物 tpx2 参与了纺锤体微管的分支;其次是调节分裂期长度的机制;第三是设定无丝分裂期长度的中心纺锤体参与者。我们发现了一些新的相互作用者,这些相互作用者不在公共数据库中,但得到了近期实验出版物的支持。
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Unveiling inter-embryo variability in spindle length over time: Towards quantitative phenotype analysis.

How can inter-individual variability be quantified? Measuring many features per experiment raises the question of choosing them to recapitulate high-dimensional data. Tackling this challenge on spindle elongation phenotypes, we showed that only three typical elongation patterns describe spindle elongation in C. elegans one-cell embryo. These archetypes, automatically extracted from the experimental data using principal component analysis (PCA), accounted for more than 95% of inter-individual variability of more than 1600 experiments across more than 100 different conditions. The two first archetypes were related to spindle average length and anaphasic elongation rate. The third archetype, accounting for 6% of the variability, was novel and corresponded to a transient spindle shortening in late metaphase, reminiscent of kinetochore function-defect phenotypes. Importantly, these three archetypes were robust to the choice of the dataset and were found even considering only non-treated conditions. Thus, the inter-individual differences between genetically perturbed embryos have the same underlying nature as natural inter-individual differences between wild-type embryos, independently of the temperatures. We thus propose that beyond the apparent complexity of the spindle, only three independent mechanisms account for spindle elongation, weighted differently in the various conditions. Interestingly, the spindle-length archetypes covered both metaphase and anaphase, suggesting that spindle elongation in late metaphase is sufficient to predict the late anaphase length. We validated this idea using a machine-learning approach. Finally, given amounts of these three archetypes could represent a quantitative phenotype. To take advantage of this, we set out to predict interacting genes from a seed based on the PCA coefficients. We exemplified this firstly on the role of tpxl-1 whose homolog tpx2 is involved in spindle microtubule branching, secondly the mechanism regulating metaphase length, and thirdly the central spindle players which set the length at anaphase. We found novel interactors not in public databases but supported by recent experimental publications.

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来源期刊
PLoS Computational Biology
PLoS Computational Biology BIOCHEMICAL RESEARCH METHODS-MATHEMATICAL & COMPUTATIONAL BIOLOGY
CiteScore
7.10
自引率
4.70%
发文量
820
审稿时长
2.5 months
期刊介绍: PLOS Computational Biology features works of exceptional significance that further our understanding of living systems at all scales—from molecules and cells, to patient populations and ecosystems—through the application of computational methods. Readers include life and computational scientists, who can take the important findings presented here to the next level of discovery. Research articles must be declared as belonging to a relevant section. More information about the sections can be found in the submission guidelines. Research articles should model aspects of biological systems, demonstrate both methodological and scientific novelty, and provide profound new biological insights. Generally, reliability and significance of biological discovery through computation should be validated and enriched by experimental studies. Inclusion of experimental validation is not required for publication, but should be referenced where possible. Inclusion of experimental validation of a modest biological discovery through computation does not render a manuscript suitable for PLOS Computational Biology. Research articles specifically designated as Methods papers should describe outstanding methods of exceptional importance that have been shown, or have the promise to provide new biological insights. The method must already be widely adopted, or have the promise of wide adoption by a broad community of users. Enhancements to existing published methods will only be considered if those enhancements bring exceptional new capabilities.
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