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利用死后人类福尔马林固定石蜡包埋额叶皮质组织并结合数字空间分析对层特异性锥体神经元进行分析。

Profiling lamina specific pyramidal neurons using postmortem human formalin fixed paraffin embedded frontal cortex tissue in combination with digital spatial profiling.

作者信息

Stanisavljevic Aleksandra, Ibrahim Kyrillos W, Stavrides Philip H, Bare Christopher, Alldred Melissa J, Heguy Adriana, Nixon Ralph A, Ginsberg Stephen D

机构信息

Center for Dementia Research, Nathan Kline Institute, Orangeburg, NY, USA.

Center for Dementia Research, Nathan Kline Institute, Orangeburg, NY, USA; Department of Psychiatry, New York University Grossman School of Medicine, New York, NY, USA.

出版信息

J Neurosci Methods. 2025 Oct;422:110512. doi: 10.1016/j.jneumeth.2025.110512. Epub 2025 Jun 3.

Abstract

BACKGROUND

Digital spatial profiling (DSP) is an innovative approach to perform RNA sequencing (RNA-seq), including in neuronal populations. DSP enables expression profiling linking RNA-seq data to spatially characterized samples utilizing tissue bound probes. We employ the GeoMx DSP system for spatial characterization of transcriptomic data from lamina specific pyramidal neurons and cortical ribbons containing admixed cell types using human postmortem brain tissue. New method We established a protocol using human postmortem formalin fixed paraffin embedded (FFPE) frontal cortex tissue from nondemented human control brains. Layer III (L3) and Layer V (L5) pyramidal neurons from Brodmann area 9 were identified with the neuronal marker Ca /calmodulin-dependent protein kinase II and selected for probe collection.

RESULTS

This approach significantly reduced the amount of FFPE tissue needed for robust single population RNA-seq. We demonstrate ∼20 identified L3 or L5 pyramidal neurons or one lamina-specific cortical ribbon from a single 5 µm thick section is sufficient to generate robust RNA-seq reads. Bioinformatic analysis of neurons and ribbons showed notable similarities and differences reflective of the single neuron and multiple admixed cell types within the former and latter, respectively. Comparison with existing methods Protocols exist for DSP of postmortem human FFPE brain tissue. However, this new approach enables profiling small groups of ∼14-21 pyramidal neurons using the GeoMx DSP platform.

CONCLUSIONS

This optimized DSP assay provides high resolution RNA-seq data demonstrating utility and versatility of the GeoMx platform for individually characterized neurons and isolated cortical ribbons within postmortem FFPE human brain tissue for downstream analyses.

摘要

背景

数字空间分析(DSP)是一种用于进行RNA测序(RNA-seq)的创新方法,包括在神经元群体中。DSP能够利用组织结合探针将RNA-seq数据与空间特征化样本进行表达谱分析。我们使用GeoMx DSP系统,对来自人类死后脑组织的特定层状锥体神经元和包含混合细胞类型的皮质带的转录组数据进行空间特征分析。

新方法

我们建立了一种方案,使用来自非痴呆人类对照大脑的死后福尔马林固定石蜡包埋(FFPE)额叶皮质组织。用神经元标记物钙/钙调蛋白依赖性蛋白激酶II鉴定布罗德曼区9的III层(L3)和V层(L5)锥体神经元,并选择用于探针采集。

结果

这种方法显著减少了进行可靠的单群体RNA-seq所需的FFPE组织量。我们证明,从单个5微米厚的切片中识别出约~20个L3或L5锥体神经元或一个层特异性皮质带,足以生成可靠的RNA-seq读数。对神经元和皮质带的生物信息学分析显示出显著的异同之处,分别反映了前者中的单个神经元和后者中的多种混合细胞类型。

与现有方法的比较

存在用于死后人类FFPE脑组织DSP的方案。然而,这种新方法能够使用GeoMx DSP平台对约14 - 21个锥体神经元的小群体进行分析。

结论

这种优化的DSP分析提供了高分辨率的RNA-seq数据,证明了GeoMx平台在对死后FFPE人类脑组织中个体特征化的神经元和分离的皮质带进行下游分析方面的实用性和多功能性。

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