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一个高分辨率的牛线粒体共表达网络。

A high-resolution bovine mitochondrial co-expression network.

作者信息

Alexandre Pâmela A, Keogh Kate, Reverter Antonio, Hudson Nicholas J

机构信息

Agriculture and Food Department, Commonwealth Scientific and Industrial Research Organisation, Brisbane, Queensland 4067, Australia.

Animal and Bioscience Research Department, Teagasc Grange, Dunsany, Co. Meath C15 PW93, Ireland.

出版信息

Biol Open. 2025 Feb 15;14(2). doi: 10.1242/bio.061630. Epub 2025 Feb 3.

Abstract

The mitochondrion is a sophisticated, versatile, and dynamic organelle whose function is incompletely understood. Intending to provide a framework for mitochondrial visualisation and interpretation of genome-wide molecular data, we reverse-engineered a co-expression network whose final structure represented mRNA encoding more than half of the entire mitochondrial proteome. We drew upon 723 RNA-seq data sets representing 91 tissues and cell types from 441 individual cattle. A mitochondrial landscape was formed comprising a main network and many smaller sub-networks. One of the discrete sub-networks contains all 13 mRNA (e.g. MT-ND1, MT -CYTB, MT -COX2, MT -ATP8) plus 15/22 tRNA (e.g. MT-TT) encoded by the mt-genome itself, indicating some independent regulation from the nuclear genome with whom it must cooperate. Intriguingly, this mtDNA sub-network also contains a single nuclear-encoded gene, that of PDHA1. PDHA1 encodes a subunit of the pyruvate dehydrogenase complex that governs the conversion of pyruvate to Acetyl CoA. This enzyme is extremely influential, representing the fundamental cellular connection between the ancient, conserved pathway of glycolysis that occurs exclusively in the cytoplasm, and the TCA cycle that occurs within the mitochondrial matrix. To demonstrate the downstream utility of our approach, we overlaid Longissimus dorsi muscle transcriptome data from differentially feed efficient Charolais and Holstein Friesian cattle. This approach highlighted expression patterns sensitive to both breed and diet in a complex manner. An analytic advantage of this approach is that relatively subtle (<2-fold) but coordinated changes that may be overlooked by conventional gene-by-gene significance testing become readily apparent. Finally, intending to understand the transcriptional regulation of mitochondrial function more thoroughly, we engineered a network built with transcription factors in addition to those mRNA encoding mitochondrial proteins. Here, a set of influential nuclear hormone receptors (e.g. PPARA) are enriched among the most highly and/or well-connected TF.

摘要

线粒体是一种复杂、多功能且动态的细胞器,其功能尚未完全被理解。为了提供一个线粒体可视化以及全基因组分子数据解读的框架,我们反向构建了一个共表达网络,其最终结构代表了编码超过一半线粒体蛋白质组的mRNA。我们利用了来自441头个体牛的91种组织和细胞类型的723个RNA测序数据集。形成了一个由一个主网络和许多较小子网络组成的线粒体图谱。其中一个离散子网络包含由线粒体基因组本身编码的所有13种mRNA(如MT-ND1、MT-CYTB、MT-COX2、MT-ATP8)加上15/22种tRNA(如MT-TT),这表明它与核基因组存在一些独立调控,尽管二者必须协同工作。有趣的是,这个线粒体DNA子网络还包含一个单一的核编码基因,即PDHA1。PDHA1编码丙酮酸脱氢酶复合体的一个亚基,该复合体控制丙酮酸向乙酰辅酶A的转化。这种酶极具影响力,代表了仅在细胞质中发生的古老、保守的糖酵解途径与在线粒体基质中发生的三羧酸循环之间的基本细胞联系。为了证明我们方法的下游实用性,我们叠加了来自不同饲料效率的夏洛来牛和荷斯坦弗里生牛的背最长肌转录组数据。这种方法以复杂的方式突出了对品种和饮食均敏感的表达模式。这种方法的一个分析优势在于,相对细微(<2倍)但协调的变化可能会被传统的逐个基因显著性检验所忽略,而在这里却很容易显现出来。最后,为了更全面地理解线粒体功能的转录调控,我们构建了一个除了编码线粒体蛋白质的mRNA之外还包含转录因子的网络。在这里,一组有影响力的核激素受体(如PPARA)在连接性最高和/或连接性最好的转录因子中富集。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7213/11832118/3736b229f442/biolopen-14-061630-g1.jpg

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