scholarly journals Analysis of low‐correlated spatial gene expression patterns: a clustering approach in the mouse brain data hosted in the Allen Brain Atlas

2018 ◽  
Vol 12 (7) ◽  
pp. 996-1006 ◽  
Author(s):  
Paolo Rosati ◽  
Carmen A. Lupaşcu ◽  
Domenico Tegolo
Methods ◽  
2010 ◽  
Vol 50 (2) ◽  
pp. 85-95 ◽  
Author(s):  
James Carson ◽  
Tao Ju ◽  
Musodiq Bello ◽  
Christina Thaller ◽  
Joe Warren ◽  
...  

2014 ◽  
Vol 220 (5) ◽  
pp. 2691-2703 ◽  
Author(s):  
Tao Zeng ◽  
Hanbo Chen ◽  
Ahmed Fakhry ◽  
Xiaoping Hu ◽  
Tianming Liu ◽  
...  

Author(s):  
Kimberly C. Olney ◽  
Kennedi T. Todd ◽  
Praveen N. Pallegar ◽  
Tanner D. Jensen ◽  
Mika P. Cadiz ◽  
...  

AbstractThe choroid plexus, a tissue responsible for producing cerebrospinal fluid, is found predominantly in the lateral and fourth ventricles of the brain. This highly vascularized and ciliated tissue is made up of specialized epithelial cells and capillary networks surrounded by connective tissue. Given the complex structure of the choroid plexus, this can potentially result in contamination during routine tissue dissection. Bulk and single-cell RNA sequencing studies, as well as genome-wide in situ hybridization experiments (Allen Brain Atlas), have identified several canonical markers of choroid plexus such as Ttr, Folr1, and Prlr. We used the Ttr gene as a marker to query the Gene Expression Omnibus database for transcriptome studies of brain tissue and identified at least some level of likely choroid contamination in numerous studies that could have potentially confounded data analysis and interpretation. We also analyzed transcriptomic datasets from human samples from Allen Brain Atlas and the Genotype-Tissue Expression (GTEx) database and found abundant choroid contamination, with regions in closer proximity to choroid more likely to be impacted such as hippocampus, cervical spinal cord, substantia nigra, hypothalamus, and amygdala. In addition, analysis of both the Allen Brain Atlas and GTEx datasets for differentially expressed genes between likely “high contamination” and “low contamination” groups revealed a clear enrichment of choroid plexus marker genes and gene ontology pathways characteristic of these ciliated choroid cells. Inclusion of these contaminated samples could result in biological misinterpretation or simply add to the statistical noise and mask true effects. We cannot assert that Ttr or other genes/proteins queried in targeted assays are artifacts from choroid contamination as some of these differentials may be due to true biological effects. However, for studies that have an unequal distribution of choroid contamination among groups, investigators may wish to remove contaminated samples from analyses or incorporate choroid marker gene expression into their statistical modeling. In addition, we suggest that a simple RT-qPCR or western blot for choroid markers would mitigate unintended choroid contamination for any experiment, but particularly for samples intended for more costly omic profiling. This study highlights an unexpected problem for neuroscientists, but it is also quite possible that unintended contamination of adjacent structures occurs during dissections for other tissues but has not been widely recognized.


2010 ◽  
Vol 107 (44) ◽  
pp. 19049-19054 ◽  
Author(s):  
J. A. Morris ◽  
J. J. Royall ◽  
D. Bertagnolli ◽  
A. F. Boe ◽  
J. J. Burnell ◽  
...  

2005 ◽  
Vol 102 (29) ◽  
pp. 10357-10362 ◽  
Author(s):  
M. A. Zapala ◽  
I. Hovatta ◽  
J. A. Ellison ◽  
L. Wodicka ◽  
J. A. Del Rio ◽  
...  

2021 ◽  
Vol 15 ◽  
Author(s):  
Arlin Keo ◽  
Oleh Dzyubachyk ◽  
Jeroen van der Grond ◽  
Jacobus J. van Hilten ◽  
Marcel J. T. Reinders ◽  
...  

Cortical atrophy is a common manifestation in Parkinson’s disease (PD), particularly in advanced stages of the disease. To elucidate the molecular underpinnings of cortical thickness changes in PD, we performed an integrated analysis of brain-wide healthy transcriptomic data from the Allen Human Brain Atlas and patterns of cortical thickness based on T1-weighted anatomical MRI data of 149 PD patients and 369 controls. For this purpose, we used partial least squares regression to identify gene expression patterns correlated with cortical thickness changes. In addition, we identified gene expression patterns underlying the relationship between cortical thickness and clinical domains of PD. Our results show that genes whose expression in the healthy brain is associated with cortical thickness changes in PD are enriched in biological pathways related to sumoylation, regulation of mitotic cell cycle, mitochondrial translation, DNA damage responses, and ER-Golgi traffic. The associated pathways were highly related to each other and all belong to cellular maintenance mechanisms. The expression of genes within most pathways was negatively correlated with cortical thickness changes, showing higher expression in regions associated with decreased cortical thickness (atrophy). On the other hand, sumoylation pathways were positively correlated with cortical thickness changes, showing higher expression in regions with increased cortical thickness (hypertrophy). Our findings suggest that alterations in the balanced interplay of these mechanisms play a role in changes of cortical thickness in PD and possibly influence motor and cognitive functions.


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