Ambient RNAs removal of cortex-specific snRNA-seq reveals Apoe + microglia/macrophage after deeper cerebral hypoperfusion in mice

Abstract Background Ambient RNAs contamination in single-nuclei RNA sequencing (snRNA-seq) is a challenging problem, but the consequences of ambient RNAs contamination of damaged and/or diseased tissues are poorly understood. Cognitive impairments and white/gray matter injuries are characteristic of...

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Main Authors: Yuan Zhang, Jinyun Tan, Kai Yang, Weijian Fan, Bo Yu, Weihao Shi
Format: Article
Language:English
Published: BMC 2023-06-01
Series:Journal of Neuroinflammation
Subjects:
Online Access:https://doi.org/10.1186/s12974-023-02831-9
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author Yuan Zhang
Jinyun Tan
Kai Yang
Weijian Fan
Bo Yu
Weihao Shi
author_facet Yuan Zhang
Jinyun Tan
Kai Yang
Weijian Fan
Bo Yu
Weihao Shi
author_sort Yuan Zhang
collection DOAJ
description Abstract Background Ambient RNAs contamination in single-nuclei RNA sequencing (snRNA-seq) is a challenging problem, but the consequences of ambient RNAs contamination of damaged and/or diseased tissues are poorly understood. Cognitive impairments and white/gray matter injuries are characteristic of deeper cerebral hypoperfusion mouse models induced by bilateral carotid artery stenosis (BCAS), but the molecular mechanisms still need to be further explored. More importantly, the BCAS mice can also offer an excellent model to examine the signatures of ambient RNAs contamination in damaged tissues when performing snRNA-seq. Methods After the sham and BCAS mice were established, cortex-specific single-nuclei libraries were constructed. Single-nuclei transcriptomes were described informatically by the R package Seurat, and ambient RNA markers of were identified in each library. Then, after removing ambient RNAs in each sample using the in silico approaches, the combination of CellBender and subcluster cleaning, single-nuclei transcriptomes were reconstructed. Next, the comparison of ambient RNA contamination was performed using irGSEA analysis before and after the in silico approaches. Finally, further bioinformatic analyses were performed. Results The ambient RNAs are more predominant in the BCAS group than the sham group. The contamination mainly originated from damaged neuronal nuclei, but could be reduced largely using the in silico approaches. The integrative analysis of cortex-specific snRNA-seq data and the published bulk transcriptome revealed that microglia and other immune cells were the primary effectors. In the sequential microglia/immune subgroups analysis, the subgroup of Apoe + MG/Mac (microglia/macrophages) was identified. Interestingly, this subgroup mainly participated in the pathways of lipid metabolism, associated with the phagocytosis of cell debris. Conclusions Taken together, our current study unravels the features of ambient RNAs in snRNA-seq datasets under diseased conditions, and the in silico approaches can effectively eliminate the incorrected cell annotation and following misleading analysis. In the future, snRNA-seq data analysis should be carefully revisited, and ambient RNAs removal needs to be taken into consideration, especially for those diseased tissues. To our best knowledge, our study also offers the first cortex-specific snRNA-seq data of deeper cerebral hypoperfusion, which provides with novel therapeutic targets.
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spelling doaj.art-b115d0e596d54ae3a22f42a6602c25922023-07-02T11:21:41ZengBMCJournal of Neuroinflammation1742-20942023-06-0120112310.1186/s12974-023-02831-9Ambient RNAs removal of cortex-specific snRNA-seq reveals Apoe + microglia/macrophage after deeper cerebral hypoperfusion in miceYuan Zhang0Jinyun Tan1Kai Yang2Weijian Fan3Bo Yu4Weihao Shi5Department of Vascular Surgery, Shanghai Pudong Hospital, Fudan University Pudong Medical CenterDepartment of Vascular Surgery, Huashan Hospital of Fudan UniversityDepartment of Vascular Surgery, Shanghai Pudong Hospital, Fudan University Pudong Medical CenterDepartment of Vascular Surgery, Shanghai Pudong Hospital, Fudan University Pudong Medical CenterDepartment of Vascular Surgery, Shanghai Pudong Hospital, Fudan University Pudong Medical CenterDepartment of Vascular Surgery, Huashan Hospital of Fudan UniversityAbstract Background Ambient RNAs contamination in single-nuclei RNA sequencing (snRNA-seq) is a challenging problem, but the consequences of ambient RNAs contamination of damaged and/or diseased tissues are poorly understood. Cognitive impairments and white/gray matter injuries are characteristic of deeper cerebral hypoperfusion mouse models induced by bilateral carotid artery stenosis (BCAS), but the molecular mechanisms still need to be further explored. More importantly, the BCAS mice can also offer an excellent model to examine the signatures of ambient RNAs contamination in damaged tissues when performing snRNA-seq. Methods After the sham and BCAS mice were established, cortex-specific single-nuclei libraries were constructed. Single-nuclei transcriptomes were described informatically by the R package Seurat, and ambient RNA markers of were identified in each library. Then, after removing ambient RNAs in each sample using the in silico approaches, the combination of CellBender and subcluster cleaning, single-nuclei transcriptomes were reconstructed. Next, the comparison of ambient RNA contamination was performed using irGSEA analysis before and after the in silico approaches. Finally, further bioinformatic analyses were performed. Results The ambient RNAs are more predominant in the BCAS group than the sham group. The contamination mainly originated from damaged neuronal nuclei, but could be reduced largely using the in silico approaches. The integrative analysis of cortex-specific snRNA-seq data and the published bulk transcriptome revealed that microglia and other immune cells were the primary effectors. In the sequential microglia/immune subgroups analysis, the subgroup of Apoe + MG/Mac (microglia/macrophages) was identified. Interestingly, this subgroup mainly participated in the pathways of lipid metabolism, associated with the phagocytosis of cell debris. Conclusions Taken together, our current study unravels the features of ambient RNAs in snRNA-seq datasets under diseased conditions, and the in silico approaches can effectively eliminate the incorrected cell annotation and following misleading analysis. In the future, snRNA-seq data analysis should be carefully revisited, and ambient RNAs removal needs to be taken into consideration, especially for those diseased tissues. To our best knowledge, our study also offers the first cortex-specific snRNA-seq data of deeper cerebral hypoperfusion, which provides with novel therapeutic targets.https://doi.org/10.1186/s12974-023-02831-9Ambient RNAs contaminationDeeper chronic cerebral hypoperfusionNeuroinflammationApoe + MG/Mac
spellingShingle Yuan Zhang
Jinyun Tan
Kai Yang
Weijian Fan
Bo Yu
Weihao Shi
Ambient RNAs removal of cortex-specific snRNA-seq reveals Apoe + microglia/macrophage after deeper cerebral hypoperfusion in mice
Journal of Neuroinflammation
Ambient RNAs contamination
Deeper chronic cerebral hypoperfusion
Neuroinflammation
Apoe + MG/Mac
title Ambient RNAs removal of cortex-specific snRNA-seq reveals Apoe + microglia/macrophage after deeper cerebral hypoperfusion in mice
title_full Ambient RNAs removal of cortex-specific snRNA-seq reveals Apoe + microglia/macrophage after deeper cerebral hypoperfusion in mice
title_fullStr Ambient RNAs removal of cortex-specific snRNA-seq reveals Apoe + microglia/macrophage after deeper cerebral hypoperfusion in mice
title_full_unstemmed Ambient RNAs removal of cortex-specific snRNA-seq reveals Apoe + microglia/macrophage after deeper cerebral hypoperfusion in mice
title_short Ambient RNAs removal of cortex-specific snRNA-seq reveals Apoe + microglia/macrophage after deeper cerebral hypoperfusion in mice
title_sort ambient rnas removal of cortex specific snrna seq reveals apoe microglia macrophage after deeper cerebral hypoperfusion in mice
topic Ambient RNAs contamination
Deeper chronic cerebral hypoperfusion
Neuroinflammation
Apoe + MG/Mac
url https://doi.org/10.1186/s12974-023-02831-9
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