Lampinen R, Fazaludeen MF, Avesani S, Örd T, Penttilä E, Lehtola J-M, Saari T, Hannonen S, Saveleva L, Kaartinen E, Fernández Acosta F, Cruz-Haces M, Löppönen H, Mackay-Sim A, Kaikkonen MU, Koivisto AM, Malm T, White AR, Giugno R, Chew S, Kanninen KM. (2022) Single-Cell RNA-Seq Analysis of Olfactory Mucosal Cells of Alzheimer’s Disease Patients. Cells 11(4):676. [article]
Researchers at the University of Eastern Finland have developed and characterized a new cell model for Alzheimer’s disease that has wide utility for research and could prove useful in early diagnosis and testing of new therapies. In collaboration with clinicians at Kuopio University Hospital, the researchers collected nasal biopsies from cognitively healthy individuals and patients diagnosed with Alzheimer’s disease over several years. Following tissue processing, the researchers applied a powerful single cell RNA sequencing approach to characterize the patient-derived cells of the olfactory mucosa, located in the upper parts of the nasal cavity. The olfactory mucosal tissue is critical for the sense of smell via its olfactory receptor neurons projecting to the brain.
The new cell model and the results were published in Cells today.
Alzheimer’s disease is a devastating, chronic disease for which there is no cure or effective treatment. Therefore, new human-based approaches are needed to understand and combat the disease pathophysiology. The new results from the research group of Associate Professor Katja Kanninen could in the future provide important insight into why a large proportion of Alzheimer’s disease patients suffer from a disturbed sense of smell early in the disease pathogenesis. Furthermore, this new research model that reflects human physiology has wide utility in allowing detailed investigation of disease mechanisms that could lead to new drug discoveries.
ScRNA-seq data revealed AD-specific alterations in OM cells
(a) Schematic illustration of the sample material and scRNA-seq workflow. (b) UMAP visualization of the clustering of single cells and showing by colors the cells derived from individual cognitively healthy donors or patients with AD. (c) Annotated cell types in samples derived from cognitively healthy individuals and patients with AD. (d) Proportion (%) of the cells of the total samples derived from each cell type. Under each sample, ID shows the total number of cells for each sample (e) Heatmap depicting a subset of the AD-related genes differentially expressed between AD and control libraries. The data are presented as the average of the log normalized and scaled expressions of the most differentially expressed genes (avg(log2FC) < −0.4, avg(log2FC) > 0.4) in AD and control cells.
The olfactory mucosa has been proposed as an entry point of air pollutants and viruses to the brain.
While these results are yet to be published, they are eagerly awaited in hopes of providing important insight into how agents that are inhaled in air could gain access to the brain, and thus disturb its function.
Source – University of Eastern Finland
Lampinen R, Fazaludeen MF, Avesani S, Örd T, Penttilä E, Lehtola J-M, Saari T, Hannonen S, Saveleva L, Kaartinen E, Fernández Acosta F, Cruz-Haces M, Löppönen H, Mackay-Sim A, Kaikkonen MU, Koivisto AM, Malm T, White AR, Giugno R, Chew S, Kanninen KM. (2022) Single-Cell RNA-Seq Analysis of Olfactory Mucosal Cells of Alzheimer’s Disease Patients. Cells 11(4):676. [article]
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Researchers at the University of Eastern Finland have developed and characterized a new cell model for Alzheimer’s disease that has wide utility for research and could prove useful in early diagnosis and testing of new therapies. In collaboration with clinicians at Kuopio University Hospital, the researchers collected nasal biopsies from cognitively healthy individuals and patients diagnosed with Alzheimer’s disease over several years. Following tissue processing, the researchers applied a powerful single cell RNA sequencing approach to characterize the patient-derived cells of the olfactory mucosa, located in the upper parts of the nasal cavity. The olfactory mucosal tissue is critical for the sense of smell via its olfactory receptor neurons projecting to the brain.
The new cell model and the results were published in Cells today.
Alzheimer’s disease is a devastating, chronic disease for which there is no cure or effective treatment. Therefore, new human-based approaches are needed to understand and combat the disease pathophysiology. The new results from the research group of Associate Professor Katja Kanninen could in the future provide important insight into why a large proportion of Alzheimer’s disease patients suffer from a disturbed sense of smell early in the disease pathogenesis. Furthermore, this new research model that reflects human physiology has wide utility in allowing detailed investigation of disease mechanisms that could lead to new drug discoveries.
ScRNA-seq data revealed AD-specific alterations in OM cells
(a) Schematic illustration of the sample material and scRNA-seq workflow. (b) UMAP visualization of the clustering of single cells and showing by colors the cells derived from individual cognitively healthy donors or patients with AD. (c) Annotated cell types in samples derived from cognitively healthy individuals and patients with AD. (d) Proportion (%) of the cells of the total samples derived from each cell type. Under each sample, ID shows the total number of cells for each sample (e) Heatmap depicting a subset of the AD-related genes differentially expressed between AD and control libraries. The data are presented as the average of the log normalized and scaled expressions of the most differentially expressed genes (avg(log2FC) < −0.4, avg(log2FC) > 0.4) in AD and control cells.
The olfactory mucosa has been proposed as an entry point of air pollutants and viruses to the brain.
While these results are yet to be published, they are eagerly awaited in hopes of providing important insight into how agents that are inhaled in air could gain access to the brain, and thus disturb its function.
Source – University of Eastern Finland
Lampinen R, Fazaludeen MF, Avesani S, Örd T, Penttilä E, Lehtola J-M, Saari T, Hannonen S, Saveleva L, Kaartinen E, Fernández Acosta F, Cruz-Haces M, Löppönen H, Mackay-Sim A, Kaikkonen MU, Koivisto AM, Malm T, White AR, Giugno R, Chew S, Kanninen KM. (2022) Single-Cell RNA-Seq Analysis of Olfactory Mucosal Cells of Alzheimer’s Disease Patients. Cells 11(4):676. [article]
Related Posts
Single-cell and single-embryo RNA sequencing
RNA sequencing reveals functional chimeric mRNAs in mammalian immunity
Deep learning improves microRNA target prediction from sequence
Atlas of the brain’s striatum could guide researchers to new drug treatments
scLS – a computationally efficient differentially expressed gene detection algorithm
Spatial mapping of RNA turnover kinetics in the mouse brain
Immune cells offer insights on billion-dollar virus
SPIDER improves spatial transcriptomics data using single-cell RNA sequencing
Ultrafast and reference-free sequence discovery in single-cell data
ARCADIA combines RNA sequencing and spatial proteomics to reveal how tissue location shapes cell behavior
An end-to-end computational framework for “Record-seq” transcriptional recording data
A functionally integrated cross-tissue alternative splicing program during short-term calorie restriction
ExoShorkie – predicting RNA-seq coverage of exogenous genomes in yeast by transfer learning
Dietary oxidized plant sterol shifts macrophage state to fuel aortic inflammation
Bonsai reconstructs tree representations for distortion-free visualization and exploration of high-dimensional data
MiRQuery – a user-friendly web app for the interactive analysis and visualization of microRNA sequencing data
RNA sequencing resolves cryptic pathogenic variants in mitochondrial disease
Unlocking the past – new method helps gain insights into old tissue
New RNA sequencing model improves sequencing depth planning for UMI transcriptomics
Combining RNA sequencing and pathology images identifies glioblastoma subgroups linked to survival
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