Ionizing radiation can induce specific genes in mammalian and other eukaryotic cells. Two such genes, often referred to as
GADD45 and GADD153 (126337), are strongly and coordinately induced by ultraviolet radiation and alkylating agents in
human and hamster cells. (These genes are designated GADD for 'growth arrest- and DNA damage-inducible.')
NCBI Summary:
This gene is a member of a group of genes whose transcript levels are increased following stressful growth arrest conditions and treatment with DNA-damaging agents. The protein encoded by this gene responds to environmental stresses by mediating activation of the p38/JNK pathway via MTK1/MEKK4 kinase. The DNA damage-induced transcription of this gene is mediated by both p53-dependent and -independent mechanisms. Alternatively spliced transcript variants encoding distinct isoforms have been found for this gene.[provided by RefSeq, Dec 2010]
General function
Cell death/survival, Apoptosis, Cell cycle regulation, DNA Replication
Comment
Smith et al. (1994) found that GADD45 binds to PCNA, or proliferating cell nuclear antigen, a normal component
of cyclin-dependent kinase complexes and a protein involved in DNA replication and repair. GADD45 stimulated DNA
excision repair in vitro and inhibited entry of cells into S phase. These results established GADD45 as a link between the
p53 -dependent cell cycle checkpoint and DNA repair.
GADD45 is a nuclear protein, widely expressed in normal tissues,
particularly in quiescent cells.
Differentially expressed genes and gene networks involved in pig ovarian follicular atresia. Terenina E et al. (2016) Ovarian folliculogenesis corresponds to the development of follicles leading to either ovulation or degeneration, this latter process being called atresia. Even if atresia involves apoptosis, its mechanism is not well-understood. The objective of this project was to analyse global gene expression in pig granulosa cells of ovarian follicles during atresia. The transcriptome analysis was performed using 9216 cDNAs microarray to identify gene networks and candidate genes involved in pig ovarian follicular atresia. One thousand six hundred and eighty four significantly regulated genes were differentially regulated between small healthy follicles and small atretic follicles. Among them, two hundred and eighty seven genes had a fold-change higher than 2 between the two follicle groups. Eleven genes (DKK3, GADD45A, CAMTA2, CCDC80, DAPK2, ECSIT, MSMB, NUPR1, RUNX2, SAMD4A, and ZNF628) having a fold-change higher than 5 between groups could likely serve as markers of follicular atresia. Moreover, automatic confrontation of deregulated genes with literature data enlightened 93 genes as regulatory candidates of pig granulosa cell atresia. Among these genes known to be inhibitors of apoptosis, stimulators of apoptosis or tumor suppressors INHBB, HNF4, CLU, different interleukins (IL5, IL24), TNF-associated receptor (TNFR1), and cytochrome-c oxidase (COX) were suggested as playing an important role in porcine atresia. Present study also enlists key upstream regulators in follicle atresia based on our results and on a literature review. The novel gene candidates and gene networks identified in the current study lead to a better understanding of the molecular regulation of ovarian follicular atresia.//////////////////
Expression regulated by
Comment
Ovarian localization
Oocyte, Granulosa, Theca
Comment
Differential genome-wide gene expression profiling of bovine largest and second-largest follicles: identification of genes associated with growth of dominant follicles. Hayashi KG et al. ABSTRACT: BACKGROUND: Bovine follicular development is regulated by numerous molecular mechanisms and biological pathways. In this study, we tried to identify differentially expressed genes between largest (F1) and second-largest follicles (F2), and classifythem by global gene expression profiling using a combination of microarray and quantitative real-time PCR (QPCR) analysis. The follicular status of F1 and F2 were further evaluated in terms of healthy and atretic conditions by investigating mRNA localization of identified genes. METHODS: Global gene expression profiles of F1 (10.7 +/- 0.7 mm) and F2 (7.8 +/- 0.2 mm) were analyzed by hierarchical cluster analysis and expression profiles of 16 representative genes were confirmed by QPCR analysis. In addition, localization of six identified transcripts was investigated in healthy and atretic follicles using in situ hybridization. The healthy or atretic condition of examined follicles was classified by progesterone and estradiol concentrations in follicular fluid. RESULTS: Hierarchical cluster analysis of microarray data classified the follicles into two clusters. Cluster A was composed of only F2 and was characterized by high expression of 31 genes including IGFBP5, whereas cluster B contained only F1 and predominantly expressed 45 genes including CYP19 and FSHR. QPCR analysis confirmed AMH, CYP19, FSHR, GPX3, PlGF, PLA2G1B, SCD and TRB2 were greater in F1 than F2, while CCL2, GADD45A, IGFBP5, PLAUR, SELP, SPP1, TIMP1 and TSP2 were greater in F2 than in F1. In situ hybridization showed that AMH and CYP19 were detected in granulosa cells (GC) of healthy as well as atretic follicles. PlGF was localized in GC and in the theca layer (TL) of healthy follicles. IGFBP5 was detected in both GC and TL of atretic follicles. GADD45A and TSP2 were localized in both GC and TL of atretic follicles, whereas healthy follicles expressed them only in GC. CONCLUSION: We demonstrated that global gene expression profiling of F1 and F2 clearly reflected a difference in their follicular status. Expression of stage-specific genes in follicles may be closely associated with their growth or atresia. Several genes identified in this study will provide intriguing candidates for the determination of follicular growth.
Follicle stages
Comment
Phenotypes
Mutations
1 mutations
Species: mouse
Mutation name: None
type: null mutation fertility: fertile Comment: Genomic instability in Gadd45a-deficient mice. Hollander MC et al. Gadd45a-null mice generated by gene targeting exhibited several of the phenotypes characteristic of p53-deficient mice, including genomic instability, increased radiation carcinogenesis and a low frequency of exencephaly. Genomic instability was exemplified by aneuploidy, chromosome aberrations, gene amplification and centrosome amplification, and was accompanied by abnormalities in mitosis, cytokinesis and growth control. Unequal segregation of chromosomes due to multiple spindle poles during mitosis occurred in several Gadd45a -/- cell lineages and may contribute to the aneuploidy. Our results indicate that Gadd45a is one component of the p53 pathway that contributes to the maintenance of genomic stability.