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AmpliSeq Transcriptome of Laser Captured Neurons from Alzheimer Brain: Comparison of Single Cell Versus Neuron Pools
Alzheimer’s disease (AD) is the most common cause of dementia in older adults. However, the pathogenesis of AD remains to be fully understood and clinically effective treatments are lacking. Recent advances in single cell RNA sequencing offers an opportunity to characterize the heterogeneity of cell...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JKL International LLC
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6844587/ https://www.ncbi.nlm.nih.gov/pubmed/31788328 http://dx.doi.org/10.14336/AD.2019.0225 |
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author | Deng, Wenjun Xing, Changhong David, Rob Mastroeni, Diego Ning, MingMing Lo, Eng H Coleman, Paul D |
author_facet | Deng, Wenjun Xing, Changhong David, Rob Mastroeni, Diego Ning, MingMing Lo, Eng H Coleman, Paul D |
author_sort | Deng, Wenjun |
collection | PubMed |
description | Alzheimer’s disease (AD) is the most common cause of dementia in older adults. However, the pathogenesis of AD remains to be fully understood and clinically effective treatments are lacking. Recent advances in single cell RNA sequencing offers an opportunity to characterize the heterogeneity of cell response and explore the molecular mechanism of complex diseases at a single cell level. Here, we present the application of the Ion AmpliSeq transcriptome approach to profile gene expression in single laser captured neurons as well as pooled 10 and 100 neurons from hippocampal CA1 of AD brains versus matching normal aged brains. Our results demonstrated the high sensitivity and high genome coverage of the AmpliSeq transcriptome in single cell sequencing. In addition to capturing the known changes related to AD, our data confirmed the diversity of neuronal profiles in AD brain, which allow the potential identification of single cell response that might be hidden in population analyses. Notably, we also revealed the extensive inhibition of olfactory signaling and confirmed the reduction of neurotransmitter receptors in AD hippocampus. We conclude that although single neuron data show more variance than data from 10 or 100 pooled neurons, single neuron data can be informative. These findings support the utility of the Ion AmpliSeq method for obtaining and analyzing gene expression data from single defined laser captured neurons. |
format | Online Article Text |
id | pubmed-6844587 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | JKL International LLC |
record_format | MEDLINE/PubMed |
spelling | pubmed-68445872019-12-01 AmpliSeq Transcriptome of Laser Captured Neurons from Alzheimer Brain: Comparison of Single Cell Versus Neuron Pools Deng, Wenjun Xing, Changhong David, Rob Mastroeni, Diego Ning, MingMing Lo, Eng H Coleman, Paul D Aging Dis Orginal Article Alzheimer’s disease (AD) is the most common cause of dementia in older adults. However, the pathogenesis of AD remains to be fully understood and clinically effective treatments are lacking. Recent advances in single cell RNA sequencing offers an opportunity to characterize the heterogeneity of cell response and explore the molecular mechanism of complex diseases at a single cell level. Here, we present the application of the Ion AmpliSeq transcriptome approach to profile gene expression in single laser captured neurons as well as pooled 10 and 100 neurons from hippocampal CA1 of AD brains versus matching normal aged brains. Our results demonstrated the high sensitivity and high genome coverage of the AmpliSeq transcriptome in single cell sequencing. In addition to capturing the known changes related to AD, our data confirmed the diversity of neuronal profiles in AD brain, which allow the potential identification of single cell response that might be hidden in population analyses. Notably, we also revealed the extensive inhibition of olfactory signaling and confirmed the reduction of neurotransmitter receptors in AD hippocampus. We conclude that although single neuron data show more variance than data from 10 or 100 pooled neurons, single neuron data can be informative. These findings support the utility of the Ion AmpliSeq method for obtaining and analyzing gene expression data from single defined laser captured neurons. JKL International LLC 2019-12-01 /pmc/articles/PMC6844587/ /pubmed/31788328 http://dx.doi.org/10.14336/AD.2019.0225 Text en Copyright: © 2019 Deng et al. http://creativecommons.org/licenses/by/2.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution and reproduction in any medium provided that the original work is properly attributed. |
spellingShingle | Orginal Article Deng, Wenjun Xing, Changhong David, Rob Mastroeni, Diego Ning, MingMing Lo, Eng H Coleman, Paul D AmpliSeq Transcriptome of Laser Captured Neurons from Alzheimer Brain: Comparison of Single Cell Versus Neuron Pools |
title | AmpliSeq Transcriptome of Laser Captured Neurons from Alzheimer Brain: Comparison of Single Cell Versus Neuron Pools |
title_full | AmpliSeq Transcriptome of Laser Captured Neurons from Alzheimer Brain: Comparison of Single Cell Versus Neuron Pools |
title_fullStr | AmpliSeq Transcriptome of Laser Captured Neurons from Alzheimer Brain: Comparison of Single Cell Versus Neuron Pools |
title_full_unstemmed | AmpliSeq Transcriptome of Laser Captured Neurons from Alzheimer Brain: Comparison of Single Cell Versus Neuron Pools |
title_short | AmpliSeq Transcriptome of Laser Captured Neurons from Alzheimer Brain: Comparison of Single Cell Versus Neuron Pools |
title_sort | ampliseq transcriptome of laser captured neurons from alzheimer brain: comparison of single cell versus neuron pools |
topic | Orginal Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6844587/ https://www.ncbi.nlm.nih.gov/pubmed/31788328 http://dx.doi.org/10.14336/AD.2019.0225 |
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