Pair-wise interactions in gene expression determine a hierarchical transcription profile of human brain

2021 ◽  
Author(s):  
Jiaojiao Hua ◽  
Zhengyi Yang ◽  
Tianzi Jiang ◽  
Shan Yu
1998 ◽  
Vol 248 (3) ◽  
pp. 199-203 ◽  
Author(s):  
Eugene F Howard ◽  
Qiang Chen ◽  
Charles Cheng ◽  
James E Carroll ◽  
David Hess

2020 ◽  
Author(s):  
Sejal Patel ◽  
Derek Howard ◽  
Leon French

BACKGROUND: Parkinson's disease (PD) causes severe motor and cognitive disabilities that result from the progressive loss of dopamine neurons in the substantia nigra. The rs12456492 variant in the RIT2 gene has been repeatedly associated with increased risk for Parkinson's disease. From a transcriptomic perspective, a meta-analysis found that RIT2 gene expression is correlated with pH in the human brain. OBJECTIVE: To assess pH associations at the RIT2-SYT4 locus. METHODS: Linear models to examine two datasets that assayed rs12456492, gene expression, and pH in the postmortem human brain. RESULTS: Using the BrainEAC dataset, we replicate the positive correlation between RIT2 gene expression and pH in the human brain. Furthermore, we found that the relationship between expression and pH is influenced by rs12456492. When tested across ten brain regions, this interaction is specifically found in the substantia nigra. A similar association was found for the co-localized SYT4 gene. In addition, SYT4 associations are stronger in a combined model with both genes, and the SYT4 interaction appears to be specific to males. In the GTEx dataset, the pH associations involving rs12456492 and expression of either SYT4 and RIT2 was not seen. This null finding may be due to the short postmortem intervals (PMI) of the GTEx tissue samples. In the BrainEAC data, we tested the effect of PMI and only observed the interactions in the longer PMI samples. CONCLUSIONS: These previously unknown associations suggest novel mechanistic roles for rs12456492, RIT2, and SYT4 in the regulation of pH in the substantia nigra.


2020 ◽  
Author(s):  
Ammar Zaghlool ◽  
Adnan Niazi ◽  
Åsa K. Björklund ◽  
Jakub Orzechowski Westholm ◽  
Adam Ameur ◽  
...  

AbstractTranscriptome analysis has mainly relied on analyzing RNA sequencing data from whole cells, overlooking the impact of subcellular RNA localization and its influence on our understanding of gene function, and interpretation of gene expression signatures in cells. Here, we performed a comprehensive analysis of cytosolic and nuclear transcriptomes in human fetal and adult brain samples. We show significant differences in RNA expression for protein-coding and lncRNA genes between cytosol and nucleus. Transcripts displaying differential subcellular localization belong to particular functional categories and display tissue-specific localization patterns. We also show that transcripts encoding the nuclear-encoded mitochondrial proteins are significantly enriched in the cytosol compared to the rest of protein-coding genes. Further investigation of the use of the cytosolic or the nuclear transcriptome for differential gene expression analysis indicates important differences in results depending on the cellular compartment. These differences were manifested at the level of transcript types and the number of differentially expressed genes. Our data provide a resource of RNA subcellular localization in the human brain and highlight differences in using the cytosolic or the nuclear transcriptomes for differential expression analysis.


2012 ◽  
Vol 84 (1) ◽  
pp. 76-88 ◽  
Author(s):  
Oksana Yu. Naumova ◽  
Maria Lee ◽  
Sergei Yu. Rychkov ◽  
Natalia V. Vlasova ◽  
Elena L. Grigorenko

1994 ◽  
Vol 658 (1-2) ◽  
pp. 55-59 ◽  
Author(s):  
D. Marazziti ◽  
S. Marracci ◽  
L. Palego ◽  
A. Rotondo ◽  
C. Mazzanti ◽  
...  

1989 ◽  
Vol 13 (3-4) ◽  
pp. 469-479 ◽  
Author(s):  
Niklas Langstrom ◽  
Anders Eriksson ◽  
Bengt Winblad ◽  
William Wallace

2012 ◽  
Vol 287 (10) ◽  
pp. 7436-7445 ◽  
Author(s):  
Adriano Sebollela ◽  
Leo Freitas-Correa ◽  
Fabio F. Oliveira ◽  
Andrea C. Paula-Lima ◽  
Leonardo M. Saraiva ◽  
...  

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