<scp>CA</scp>10 and <scp>CA</scp>11 negatively regulate neuronal activity‐dependent growth of gliomas

Tao, Bei; Ling, Yibei; Zhang, Youyou; Li, Shu; Zhou, Ping; Wang, Xiaoqiang; Li, Bin; Zhong, Jun; Zhang, Wenchuan; Xu, Chunyan; Shi, Jingxue; Wang, Lifeng; Zhang, Wenhao; Li, Shiting

doi:10.1002/1878-0261.12445

Cited by 13 publications

(8 citation statements)

References 35 publications

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“…The protein encoded by CA10 is involved in brain development and the central nervous system [41]. Moreover, a bioinformatics study revealed 15 genes, including CA10, to be hub genes and able to predict the occurrence of AD [42].…”

Section: Discussionmentioning

confidence: 99%

Transcriptional Profiling of Hippocampus Identifies Network Alterations in Alzheimer’s Disease

et al. 2022

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Alzheimer’s disease (AD) is a neurodegenerative disease characterized by rapid brain cell degeneration affecting different areas of the brain. Hippocampus is one of the earliest involved brain regions in the disease. Modern technologies based on high-throughput data have identified transcriptional profiling of several neurological diseases, including AD, for a better comprehension of genetic mechanisms of the disease. In this study, we investigated differentially expressed genes (DEGs) from six Gene Expression Omnibus (GEO) datasets of hippocampus of AD patients. The identified DEGs were submitted to Weighted correlation network analysis (WGCNA) and ClueGo to explore genes with a higher degree centrality and to comprehend their biological role. Subsequently, MCODE was used to identify subnetworks of interconnected DEGs. Our study found 40 down-regulated genes and 36 up-regulated genes as consensus DEGs. Analysis of the co-expression network revealed ACOT7, ATP8A2, CDC42, GAD1, GOT1, INA, NCALD, and WWTR1 to be genes with a higher degree centrality. ClueGO revealed the pathways that were mainly enriched, such as clathrin coat assembly, synaptic vesicle endocytosis, and DNA damage response signal transduction by p53 class mediator. In addition, we found a subnetwork of 12 interconnected genes (AMPH, CA10, CALY, NEFL, SNAP25, SNAP91, SNCB, STMN2, SV2B, SYN2, SYT1, and SYT13). Only CA10 and CALY are targets of known drugs while the others could be potential novel drug targets.

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Section: Discussionmentioning

confidence: 99%

Transcriptional Profiling of Hippocampus Identifies Network Alterations in Alzheimer’s Disease

et al. 2022

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“…The SNP was found in an intronic region of the carbonic anhydrase gene ( CA10 ) (position 289,041 within the 309,442 bp of the gene) (Figure 1b). The protein coded by CA10 is catalytically inactive and recent findings point to an evolutionary conserved function as a ligand of neurexin in the presynapses of the central nervous system (Sterky et al, 2017; Tao et al, 2019).…”

Section: Resultsmentioning

confidence: 99%

Investigating the genetic basis of vertebrate dispersal combining RNA‐seq, RAD‐seq and quantitative genetics

et al. 2023

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Although animal dispersal is known to play key roles in ecological and evolutionary processes such as colonization, population extinction and local adaptation, little is known about its genetic basis, particularly in vertebrates. Untapping the genetic basis of dispersal should deepen our understanding of how dispersal behaviour evolves, the molecular mechanisms that regulate it and link it to other phenotypic aspects in order to form the so‐called dispersal syndromes. Here, we comprehensively combined quantitative genetics, genome‐wide sequencing and transcriptome sequencing to investigate the genetic basis of natal dispersal in a known ecological and evolutionary model of vertebrate dispersal: the common lizard, Zootoca vivipara. Our study supports the heritability of dispersal in semi‐natural populations, with less variation attributable to maternal and natal environment effects. In addition, we found an association between natal dispersal and both variation in the carbonic anhydrase (CA10) gene, and in the expression of several genes (TGFB2, SLC6A4, NOS1) involved in central nervous system functioning. These findings suggest that neurotransmitters (serotonin and nitric oxide) are involved in the regulation of dispersal and shaping dispersal syndromes. Several genes from the circadian clock (CRY2, KCTD21) were also differentially expressed between disperser and resident lizards, supporting that the circadian rhythm, known to be involved in long‐distance migration in other taxa, might affect dispersal as well. Since neuronal and circadian pathways are relatively well conserved across vertebrates, our results are likely to be generalisable, and we therefore encourage future studies to further investigate the role of these pathways in shaping dispersal in vertebrates.

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“…CA10 , encoding a non-catalytic related protein acting as a ligand for neurexins in neurons [ 30 ], was also found in our study as a transcript important for age prediction. It is also downregulated in gliomas, with lower expression among glioma patients associated with high grade subtype and shorter survival [ 31 ]. Considering its important role in synaptic Ca 2+ signaling via neurexin, as well as its association with glioma, an aging-related disease, our results showing the importance of CA10 transcript in age prediction may be important.…”

Section: Discussionmentioning

confidence: 99%

Genome-wide transcriptome profiling and development of age prediction models in the human brain

Zarrella,

Tsurumi

2024

Aging

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Aging-related transcriptome changes in various regions of the healthy human brain have been explored in previous works, however, a study to develop prediction models for age based on the expression levels of specific panels of transcripts is lacking. Moreover, studies that have assessed sexually dimorphic gene activities in the aging brain have reported discrepant results, suggesting that additional studies would be advantageous. The prefrontal cortex (PFC) region was previously shown to have a particularly large number of significant transcriptome alterations during healthy aging in a study that compared different regions in the human brain. We harmonized neuropathologically normal PFC transcriptome datasets obtained from the Gene Expression Omnibus (GEO) repository, ranging in age from 21 to 105 years, and found a large number of differentially regulated transcripts in the old and elderly, compared to young samples overall, and compared female and male-specific expression alterations. We assessed the genes that were associated with age by employing ontology, pathway, and network analyses. Furthermore, we applied various established (least absolute shrinkage and selection operator (Lasso) and Elastic Net (EN)) and recent (eXtreme Gradient Boosting (XGBoost) and Light Gradient Boosting Machine (LightGBM)) machine learning algorithms to develop accurate prediction models for chronological age and validated them. Studies to further validate these models in other large populations and molecular studies to elucidate the potential mechanisms by which the transcripts identified may be related to aging phenotypes would be advantageous.

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CA10 and CA11 negatively regulate neuronal activity‐dependent growth of gliomas

Cited by 13 publications

References 35 publications

Transcriptional Profiling of Hippocampus Identifies Network Alterations in Alzheimer’s Disease

Transcriptional Profiling of Hippocampus Identifies Network Alterations in Alzheimer’s Disease

Investigating the genetic basis of vertebrate dispersal combining RNA‐seq, RAD‐seq and quantitative genetics

Genome-wide transcriptome profiling and development of age prediction models in the human brain

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