An in vivo systemic massively parallel platform for deciphering animal tissue-specific regulatory function

被引:1
作者
Brown, Ashley R. [1 ,2 ]
Fox, Grant A. [1 ,2 ]
Kaplow, Irene M. [1 ,2 ,3 ]
Lawler, Alyssa J. [2 ,3 ]
Phan, BaDoi N. [1 ,2 ,4 ]
Gadey, Lahari [1 ,2 ]
Wirthlin, Morgan E. [1 ,2 ]
Ramamurthy, Easwaran [1 ,2 ]
May, Gemma E. [3 ]
Chen, Ziheng [3 ]
Su, Qiao [1 ,2 ]
Mcmanus, C. Joel [3 ]
van de Weerd, Robert [1 ,2 ]
Pfenning, Andreas R. [1 ,2 ,3 ]
机构
[1] Carnegie Mellon Univ, Ray & Stephanie Lane Dept Computat Biol, Pittsburgh, PA 15213 USA
[2] Carnegie Mellon Univ, Neurosci Inst, Pittsburgh 15213, PA USA
[3] Carnegie Mellon Univ, Dept Biol Sci, Pittsburgh, PA 15213 USA
[4] Univ Pittsburgh, Sch Med, Med Scientist Training Program, Pittsburgh, PA USA
基金
美国国家卫生研究院; 美国安德鲁·梅隆基金会; 美国国家科学基金会;
关键词
machine learning; aav; in vivo; enhancer; PHP.eB; brain; tissue specific; transcriptional regulation; GENE; ENHANCERS; VARIANTS; CHROMATIN; REVEALS; DISSECTION; DIVERSITY; PROMOTER; CONSERVATION; SIGNATURES;
D O I
10.3389/fgene.2025.1533900
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
Introduction: Transcriptional regulation is an important process wherein non-protein coding enhancer sequences play a key role in determining cell type identity and phenotypic diversity. In neural tissue, these gene regulatory processes are crucial for coordinating a plethora of interconnected and regionally specialized cell types, ensuring their synchronized activity in generating behavior. Recognizing the intricate interplay of gene regulatory processes in the brain is imperative, as mounting evidence links neurodevelopment and neurological disorders to non-coding genome regions. While genome-wide association studies are swiftly identifying non-coding human disease-associated loci, decoding regulatory mechanisms is challenging due to causal variant ambiguity and their specific tissue impacts.Methods: Massively parallel reporter assays (MPRAs) are widely used in cell culture to study the non-coding enhancer regions, linking genome sequence differences to tissue-specific regulatory function. However, widespread use in animals encounters significant challenges, including insufficient viral library delivery and library quantification, irregular viral transduction rates, and injection site inflammation disrupting gene expression. Here, we introduce a systemic MPRA (sysMPRA) to address these challenges through systemic intravenous AAV viral delivery.Results: We demonstrate successful transduction of the MPRA library into diverse mouse tissues, efficiently identifying tissue specificity in candidate enhancers and aligning well with predictions from machine learning models. We highlight that sysMPRA effectively uncovers regulatory effects stemming from the disruption of MEF2C transcription factor binding sites, single-nucleotide polymorphisms, and the consequences of genetic variations associated with late-onset Alzheimer's disease.Conclusion: SysMPRA is an effective library delivering method that simultaneously determines the transcriptional functions of hundreds of enhancers in vivo across multiple tissues.
引用
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页数:19
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