Liu Christine S, Park Chris, Ngo Tony, Saikumar Janani, Palmer Carter R, Shahnaee Anis, Romanow William J, Chun Jerold
Sanford Burnham Prebys Medical Discovery Institute, La Jolla, California 92037.
Biomedical Sciences Program, School of Medicine, University of California San Diego, La Jolla, California 92093.
eNeuro. 2024 Dec 27;11(12). doi: 10.1523/ENEURO.0296-24.2024. Print 2024 Dec.
Single-nucleus RNA-sequencing (snRNA-seq) has revealed new levels of cellular organization and diversity within the human brain. However, full-length mRNA isoforms are not resolved in typical snRNA-seq analyses using short-read sequencing that cannot capture full-length transcripts. Here we combine standard 10x Genomics short-read snRNA-seq with targeted PacBio long-read snRNA-seq to examine isoforms of genes associated with neurological diseases at the single-cell level from prefrontal cortex samples of diseased and nondiseased human brain, assessing over 165,000 cells. Samples from 25 postmortem donors with Alzheimer's disease (AD), dementia with Lewy bodies (DLB), or Parkinson's disease (PD), along with age-matched controls, were compared. Analysis of the short-read libraries identified shared and distinct gene expression changes across the diseases. The same libraries were then assayed using enrichment probes to target 50 disease-related genes followed by long-read PacBio sequencing, enabling linkage between cell type and isoform expression. Vast mRNA isoform diversity was observed in all 50 targeted genes, even those that were not differentially expressed in the short-read data. We also developed an informatics method for detection of isoform structural differences in novel isoforms versus the reference annotation. These data expand available single-cell datasets of the human prefrontal cortical transcriptome with combined short- and long-read sequencing across AD, DLB, and PD, revealing increased mRNA isoform diversity that may contribute to disease features and could potentially represent therapeutic targets for neurodegenerative diseases.
单细胞核RNA测序(snRNA-seq)揭示了人类大脑中细胞组织和多样性的新层面。然而,在使用无法捕获全长转录本的短读长测序的典型snRNA-seq分析中,全长mRNA异构体无法得到解析。在此,我们将标准的10x Genomics短读长snRNA-seq与靶向的PacBio长读长snRNA-seq相结合,以在单细胞水平上研究来自患病和未患病人类大脑前额叶皮质样本中与神经疾病相关基因的异构体,评估超过165,000个细胞。比较了来自25名患有阿尔茨海默病(AD)、路易体痴呆(DLB)或帕金森病(PD)的死后捐赠者以及年龄匹配对照组的样本。对短读长文库的分析确定了不同疾病间共享和独特的基因表达变化。然后使用富集探针靶向50个疾病相关基因对相同文库进行检测,随后进行长读长PacBio测序,从而实现细胞类型与异构体表达之间的关联。在所有50个靶向基因中均观察到大量的mRNA异构体多样性,即使是那些在短读长数据中无差异表达的基因。我们还开发了一种信息学方法,用于检测新异构体与参考注释之间的异构体结构差异。这些数据通过对AD、DLB和PD进行短读长和长读长测序相结合,扩展了人类前额叶皮质转录组的单细胞数据集,揭示了增加的mRNA异构体多样性,这可能导致疾病特征,并且有可能代表神经退行性疾病的治疗靶点。