scholarly journals Potential roles of stem cell marker genes in axon regeneration

2021 ◽  
Vol 53 (1) ◽  
pp. 1-7
Author(s):  
Jinyoung Lee ◽  
Yongcheol Cho

AbstractAxon regeneration is orchestrated by many genes that are differentially expressed in response to injury. Through a comparative analysis of gene expression profiling, injury-responsive genes that are potential targets for understanding the mechanisms underlying regeneration have been revealed. As the efficiency of axon regeneration in both the peripheral and central nervous systems can be manipulated, we suggest that identifying regeneration-associated genes is a promising approach for developing therapeutic applications in vivo. Here, we review the possible roles of stem cell marker- or stemness-related genes in axon regeneration to gain a better understanding of the regeneration mechanism and to identify targets that can enhance regenerative capacity.

2004 ◽  
pp. 103-110 ◽  
Author(s):  
Danielle Larouche ◽  
Cindy Hayward ◽  
Kristine Cuffley ◽  
Lucie Germain

2011 ◽  
Vol 240 (3) ◽  
pp. 674-681 ◽  
Author(s):  
Lisa H. Anderson ◽  
Corinne A. Boulanger ◽  
Gilbert H. Smith ◽  
Peter Carmeliet ◽  
Christine J. Watson

2020 ◽  
Vol 22 (Supplement_2) ◽  
pp. ii201-ii201
Author(s):  
Patricia Tiburcio ◽  
Mary Locke ◽  
Srivydia Bhaskara ◽  
Mahesh Chandrasekharan ◽  
Eric Huang

Abstract Heterozygous mutations in the isocitrate dehydrogenase 1 (IDH1) gene are most common in glioma, resulting in predominantly arginine to histidine substitution at codon 132. Because IDH1R132H requires a wild-type allele to produce (D)-2-hydroxyglutarate for epigenetic reprogramming, glioma cells with loss of the remaining wild-type allele (hence IDH1R132H-hemizygous) exhibit an IDH1-wild-type-like glioma phenotype and aggressive tumor growth. Although previous studies reported that transgenic IDH1R132H induced the expression of nestin—a glioma stem-cell marker, the underlying mechanism remains unclear. Furthermore, this finding seems at odds with the better outcome of IDH-mutant glioma owing to a negative association of nestin with overall survival. To gain a comprehensive understanding of glioma stem-cell marker gene regulation in IDH-mutant glioma, we compared gene expression between IDH1R132H-heterozygous and IDH1R132H-hemizygous glioma cells under adherent and spheroid growth conditions and found that glioma stem-cell marker genes, including CD44, NES, and PROM1, are generally downregulated in the spheroid growth of IDH1R132H-heterozygous cells. This result was validated in patient samples of IDH-mutant glioma compared with those of IDH-wildtype glioma, even though modest NES upregulation was observed in the adherent growth of IDH1R132H-hemizygous glioma cells. In contrast, CD24 is specifically upregulated in the spheroid growth of IDH1R132H-heterozygous cells and patient samples of IDH-mutant glioma and is apparently associated with better survival. Mechanistically, CD24 and NES expression responds differentially to alteration of (D)-2-hydroxyglutarate levels. CD24 upregulation is associated with histone and DNA demethylation as opposed to hypermethylation in those downregulated glioma stem-cell marker genes. Therefore, the better outcome of IDH-mutant glioma is orchestrated exquisitely through epigenetic reprogramming that directs bidirectional expression of glioma stem-cell marker genes.


2020 ◽  
Author(s):  
Shradha Mukherjee

Abstract Grade 4 glioma or GBM has poor prognosis and is the most aggressive grade of glioma. Accurate diagnosis and classification of tumor grade is a critical determinant for development of treatment pathway. Extensive genomic sequencing of gliomas, different cell types, brain tissue regions and advances in bioinformatics algorithms, have presented an opportunity to identify molecular markers that can complement existing histology and imaging methods used to diagnose and classify gliomas. ‘Cancer stem cell theory’ purports that a minor population of stem cells among the heterogeneous population of different cell types in the tumor, drive tumor growth and resistance to therapies. However, characterization of stem cell states in GBM and ability of stem cell state signature genes to serve as diagnostic or prognostic molecular markers are unknown. In this work, two different network construction algorithms, Weighted correlation network analysis (WGCNA) and Multiscale Clustering of Geometric Network (MEGENA), were applied on publicly available glioma, control brain and stem cell gene expression RNA-seq datasets, to identify gene network regulatory modules associated with GBM. Both gene network algorithms identified consensus or equivalent modules, HuAgeGBsplit_18 (WGCNA) and c1_HuAgeGBsplit_32/193 (MEGENA), significantly associated with GBM. Characterization of HuAgeGBsplit_18 (WGCNA) and c1_HuAgeGBsplit_32/193 (MEGENA) modules showed significant enrichment of rodent quiescent stem cell marker genes (GSE70696_QNPbyTAP). A logistic regression model built with eight of these quiescent stem cell marker genes (GSE70696_QNPbyTAP) was sufficient to distinguish between control and GBM samples. This study demonstrates that GBM associated gene regulatory modules are characterized by diagnostic quiescent stem cell marker genes, which may potentially be used clinically as diagnostic markers and therapeutic targets in GBM.


2016 ◽  
Vol 48 (3) ◽  
pp. 235-241 ◽  
Author(s):  
Sohrab Boozarpour ◽  
Maryam M. Matin ◽  
Madjid Momeni-Moghaddam ◽  
Hesam Dehghani ◽  
Naser Mahdavi-Shahri ◽  
...  

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