A cell-type-resolved directory of human brain reveals microRNAs and tRNA fragments associated with aging and Alzheimer’s disease

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Abstract

Background MicroRNAs (miRs) play a role in the regulation of diverse brain processes ranging from neurogenesis to neurological disease. While miRs have been implicated in cell-type-specific regulation, most studies have been based on whole tissue bulk analysis, due to technical limitations of single-cell small RNA sequencing. Consequently, the cell-type specificity of brain miRs remains poorly characterized, limiting our ability to understand their roles. Results To generate a comprehensive, cell-type-resolved atlas of miRs in the human brain, we isolated neurons, astrocytes, microglia, and oligodendrocytes from fresh neurosurgery-derived brain samples and profiled their small RNA repertoires by RNA sequencing. The results reveal pronounced cell-type-specific differences in miR expression, identify novel cell-type-specific miR markers, and shed light on the contribution of genomic locus to cell-type specificity. We also characterized the cell-type-specific patterns of strand preference and isomiR processing. In addition, we explored cell-type-dependent profiles of another small non-coding RNA class, tRNA-derived fragments, identifying an enrichment of 5′-tRNA halves in neurons as compared to glia. Finally, the atlas resource enabled the identification of miR programs associated with brain aging, and the resolution of their cell-type origin. Conclusions We have shown that human brain miRs exhibit pronounced cell-type-specific differences in expression levels, accompanied by more modest differences in strand preference and isomiR abundance. In addition, our atlas, combined with its accompanying statistical tool, provide a publicly available resource for miR cell-type enrichment analysis and resolution of the cell-type origin of miRs in the human brain.
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Abstract

Background MicroRNAs (miRs) and transfer RNA fragments (tRFs) regulate diverse brain processes, from neurogenesis to neurological disease. While both these small RNA classes have been implicated in cell-type-specific regulation, most studies leaned on bulk measurements, due to technical limitations in detecting small RNAs using single-cell RNA sequencing. Consequently, the cell-type specificity of brain miRs and tRFs remains poorly characterized, limiting functional interpretation.

Results

To generate a comprehensive, cell-type-resolved atlas of miRs and tRFs from live human brain tissues, we isolated neurons, astrocytes, microglia, and oligodendrocytes from neurosurgery-derived fresh human brain samples and profiled their small RNAs by RNA-sequencing. This revealed pronounced cell-type-specific differences in miR and tRF levels, identified novel small RNA cell-type markers, and provided insight into the genetic regulation of miR cell-type specificity. Notably, neurons exhibited elevated levels of 5′ tRNA halves compared to glial cells, including enriched fragments derived from glycine, leucine and lysine tRNAs. Finally, our resource enabled assignment of cell-type origins to miRs associated with healthy brain aging and tRFs linked to Alzheimer’s disease.

Conclusions

Highlighting the importance of cellular context for data interpretation, both human brain miRs and tRFs exhibit pronounced cell-type-specific differences associated with brain aging and neurodegenerative diseases. Combined with an accompanying statistical tool for miR cell-type enrichment analysis, this work provides a publicly available resource for resolving the cell-type origins of small RNAs in the human brain. Competing Interest Statement The authors have declared no competing interest. Footnotes This revised version of the manuscript now includes an age-related analysis of microRNA profiles. Using bioIB, we identified two distinct microRNA programs: one that declines with age and is enriched for neuronal microRNAs, and another that increases with age and is enriched for both neuronal and astrocytic microRNAs. The results of this analysis are summarized in Figure 6. https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE314790

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License: CC-BY-NC-4.0