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超越碱基对推进罕见病和未确诊疾病研究的三联码模型。

The triple code model for advancing research in rare and undiagnosed diseases beyond the base pairs.

作者信息

Lomberk Gwen, Urrutia Raul

机构信息

Linda T. and John A. Mellowes Center for Genomic Sciences and Precision Medicine, Medical College of Wisconsin, Milwaukee, WI, USA.

Division of Research, Department of Surgery, Medical College of Wisconsin, Milwaukee, WI, USA.

出版信息

Epigenomics. 2025 Feb;17(2):115-124. doi: 10.1080/17501911.2024.2436837. Epub 2024 Dec 4.

DOI:10.1080/17501911.2024.2436837
PMID:39630027
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11792834/
Abstract

Rare and undiagnosed diseases pose significant challenges for understanding their mechanisms, diagnosis, and treatment. The Triple Code Model, an integrative paradigm described here, considers the combined influence of the genetic code, epigenetic code, and nuclear structure (an emerging code), as fundamental biochemical mechanisms underlying many rare diseases. Studies demonstrate dysfunctional membrane and cytoplasmic signals instruct the epigenome to ultimately impact the 3D structure and dynamics of the nucleus, highlighting their close interrelationships. Consequently, this model offers a holistic perspective on rare and undiagnosed diseases by moving beyond a solely genetic view. We propose that this integrated framework will efficiently guide rare disease research by taking it 'Beyond the Base Pairs,' leading to improved diagnostics and personalized treatments.

摘要

罕见病和未确诊疾病在理解其发病机制、诊断和治疗方面构成了重大挑战。本文所描述的三联密码模型是一种综合范式,它将遗传密码、表观遗传密码和核结构(一种新兴密码)的综合影响视为许多罕见病背后的基本生化机制。研究表明,功能失调的膜和细胞质信号会指导表观基因组,最终影响细胞核的三维结构和动态变化,凸显了它们之间的密切相互关系。因此,该模型通过超越单纯的遗传学观点,为罕见病和未确诊疾病提供了一个整体视角。我们提出,这个综合框架将通过“超越碱基对”有效地指导罕见病研究,从而改善诊断和个性化治疗。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9acf/11792834/c841d2b7d332/IEPI_A_2436837_F0001_OC.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9acf/11792834/c841d2b7d332/IEPI_A_2436837_F0001_OC.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9acf/11792834/c841d2b7d332/IEPI_A_2436837_F0001_OC.jpg

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本文引用的文献

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Transgenic Res. 2024 Oct;33(5):323-357. doi: 10.1007/s11248-024-00404-x. Epub 2024 Aug 19.
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AI analysis of super-resolution microscopy: Biological discovery in the absence of ground truth.人工智能分析超分辨率显微镜:在没有真值的情况下进行生物学发现。
J Cell Biol. 2024 Aug 5;223(8). doi: 10.1083/jcb.202311073. Epub 2024 Jun 12.
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Gene Therapy for Genetic Syndromes: Understanding the Current State to Guide Future Care.
遗传综合征的基因治疗:了解当前状况以指导未来护理
BioTech (Basel). 2024 Jan 3;13(1):1. doi: 10.3390/biotech13010001.
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Activation of γ-globin expression by LncRNA-mediated ERF promoter hypermethylation in β-thalassemia.长链非编码 RNA 通过 ERF 启动子超甲基化激活β-地中海贫血中的 γ-珠蛋白表达。
Clin Epigenetics. 2024 Jan 13;16(1):12. doi: 10.1186/s13148-023-01614-6.
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Deep computational phenotyping of genomic variants impacting the SET domain of KMT2C reveal molecular mechanisms for their dysfunction.对影响KMT2C SET结构域的基因组变异进行深度计算表型分析,揭示了其功能障碍的分子机制。
Front Genet. 2023 Nov 28;14:1291307. doi: 10.3389/fgene.2023.1291307. eCollection 2023.
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GOLM1 Promotes Pulmonary Fibrosis through Upregulation of .GOLM1通过上调……促进肺纤维化。 (原文此处不完整)
Am J Respir Cell Mol Biol. 2024 Mar;70(3):178-192. doi: 10.1165/rcmb.2023-0151OC.
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