ESHRD: deconvolution of brain homogenate RNA expression data to identify cell-type-specific alterations in Alzheimer’s disease

Objective: We describe herein a bioinformatics approach that leverages gene expression data from brain homogenates to derive cell-type specific differential expression results. Results: We found that differentially expressed (DE) cell-specific genes were mostly identified as neuronal, microglial, or...

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Detalles Bibliográficos
Autores principales: Piras, Ignazio S., Bleul, Christiane, Talboom, Joshua S., De Both, Matthew D., Schrauwen, Isabelle, Halliday, Glenda, Myers, Amanda J., Serrano, Geidy E., Beach, Thomas G., Huentelman, Matthew J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals 2020
Materias:
Research Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7093163/
https://www.ncbi.nlm.nih.gov/pubmed/32125278
http://dx.doi.org/10.18632/aging.102840

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7093163/
https://www.ncbi.nlm.nih.gov/pubmed/32125278
http://dx.doi.org/10.18632/aging.102840

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