Institute of Human Genetics, Medical University of Innsbruck, 6020 Innsbruck, Austria.
Warwick Medical School, The University of Warwick, Warwick, CV4 7AL Coventry, UK.
Cell Rep. 2020 Mar 24;30(12):4281-4291.e4. doi: 10.1016/j.celrep.2020.02.115.
Cardiolipin (CL) is a phospholipid specific for mitochondrial membranes and crucial for many core tasks of this organelle. Its acyl chain configurations are tissue specific, functionally important, and generated via post-biosynthetic remodeling. However, this process lacks the necessary specificity to explain CL diversity, which is especially evident for highly specific CL compositions in mammalian tissues. To investigate the so far elusive regulatory origin of CL homeostasis in mice, we combine lipidomics, integrative transcriptomics, and data-driven machine learning. We demonstrate that not transcriptional regulation, but cellular phospholipid compositions are closely linked to the tissue specificity of CL patterns allowing artificial neural networks to precisely predict cross-tissue CL compositions in a consistent mechanistic specificity rationale. This is especially relevant for the interpretation of disease-related perturbations of CL homeostasis, by allowing differentiation between specific aberrations in CL metabolism and changes caused by global alterations in cellular (phospho-)lipid metabolism.
心磷脂(Cardiolipin,CL)是一种特异性存在于线粒体膜上的磷脂,对线粒体的许多核心功能至关重要。其酰基链构型具有组织特异性,功能重要,并通过后天生物合成重塑生成。然而,这一过程缺乏必要的特异性来解释心磷脂的多样性,这在哺乳动物组织中高度特异性的心磷脂组成中尤为明显。为了研究迄今为止在小鼠中心磷脂稳态的难以捉摸的调节起源,我们结合脂质组学、综合转录组学和数据驱动的机器学习。我们证明,不是转录调控,而是细胞磷脂组成与 CL 模式的组织特异性密切相关,这使得人工神经网络能够以一致的机械特异性原理精确预测跨组织的 CL 组成。这对于解释与疾病相关的心磷脂稳态失调特别重要,因为它允许区分 CL 代谢中的特定异常和由细胞(磷酸)脂质代谢全局改变引起的变化。