GADD45G Antibodies

Growth arrest and DNA damage-inducible protein GADD45 gamma (GADD45G)

Involved in the regulation of growth and apoptosis. Mediates activation of stress-responsive MTK1/MEKK4 MAPKKK.

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Gene Information

Human
Gene Name:	GADD45G
Uniprot:	O95257
Entrez:	10912

Family

Belongs to:
GADD45 family

Alternative Names

CR6DNA damage-inducible transcript 2 protein; Cytokine-responsive protein CR6; DDIT-2; DDIT2GADD45-gamma; growth arrest and DNA damage-inducible protein GADD45 gamma; growth arrest and DNA-damage-inducible, gamma; GRP1717 kD

Molecular Weight

Mass (kDA):
17.121 kDA

Genomic Context

Human
Location:	9q22.2
Sequence:	9; NC_000009.12 (89605009..89606555)

Diseases

• Growth Arrest
• Malignant Neoplasms
• Neoplasms
• Carcinoma
• Physiological Stress
• Liver Carcinoma
• Malignant Neoplasm Of Lung
• Malignant Neoplasm Of Prostate
• Inflammation
• Leukemia
• Prostatic Neoplasms
• Liver Neoplasms

• Genotoxic Stress
• Autoimmunity
• Melanoma
• Hepatocarcinogenesis
• Colorectal Cancer
• Acute Lymphocytic Leukemia
• Malignant Neoplasm Of Stomach

Interacting Proteins

• AFAP1L1
• ARPC5L
• CEP126
• FAM156A
• GADD45GIP1

• KAT5
• MED31
• REL
• RWDD2B
• TSNAX

• UTP14A

Pathways

• Cell Cycle
• Cell Death
• Dna Repair
• Cell Growth
• Cell Cycle Arrest
• Cell Proliferation
• Programmed Cell Death
• Demethylation
• Methylation
• Dna Demethylation
• Cell Differentiation
• Response To Stress
• Cell Development

• Senescence
• S Phase
• Cell Adhesion
• Cell Cycle Checkpoint
• Dna Hypermethylation
• Immune Response
• Negative Regulation Of Cell Growth

PTMs

• Demethylation
• Methylation

• Phosphorylation
• Cleavage

• Acetylation

Research Areas

• Apoptosis
• Cancer

For details, visit:
bosterbio.com/bosterbio-gene-info-cards/GADD45G

Best Uses Of The GADD45G Marker

The GADD45G Marker is a versatile biomarker for EOC cells. It can be used to measure levels in different cell types. Its functions include helping EOC cells to metastasize and influencing the efficiency protein transfer across membranes. The GADD45G Marker has several advantages, and this article will outline some of them.

Membrane staining enhances protein transfer efficiency

Two different antibodies were used to test the protein transfer efficiency in Boster Bio membrane-blotting. First, we separated pooled sera proteins with 8% SDS–PAGE, then transferred them to NC and PVDF membranes. Next, we stain the membranes with different antibodies, re-probed them with the same antibody, and then measured their optical density with a Canon scanner. Then we did densitometry analysis with Image J and GraphPad Prism version 6.

The membrane's pores size determines the membrane's ability to bind protein to it. A membrane with a pore size of 0.2mm is suitable to proteins with molecular masses less than 20kD. A PVDF membrane promotes association of negative charges. The pore sizes of NC membranes vary, so it is important to choose the right one for the specific protein to be detected.

This method can detect multiple targets simultaneously, which is useful when clinical samples are limited and time is at a premium. However, PVDF membranes have higher reprobing capacities than NC membranes. In fact, we were able to detect more than two targets simultaneously, saving us time. After comparing both types of membranes, we can determine which one has better binding capabilities to different proteins.

Boster offers Western Blot analysis custom services in addition to RIPA Lysis Buffer. We offer the extraction of total proteins from tissue and the construction of premade Western Blots. We can also immunostain your blots with any antigen. We can also send you digital images of high-quality so that you can analyze your results. There is no better tool to assess the efficiency or protein transfer in western-blotting.

The membranes were stained in western blotting with PHA-E, AAL or SNA lectins. The incubation took approximately an hour. ECL Plus reagents were used for visualization of the protein bands. After the immune response, bands were detected and quantified using ChemiDoc XRS imaging system and Image Lab software. The protein bands on membranes were then analysed after the immune response.

GADD45B functions in EOC cells metastasis

Using bioinformatics analysis, the function of GADD45B in epithelial ovarian cancer metastasis was revealed. GADD45B might be involved in EMT of tumor cells, the findings suggest. GADD45B may also be involved in the regulation epithelial ovarian metastasis.

GADD45B overexpression has been linked to poor overall survival among patients with advanced EOC. FIGO stage, lymphatic invasion and histologic grade were all associated with gene expression. Furthermore, a high GADD45B mRNA level was associated with poor overall survival in GSE49997 patients with EOC. Therefore, it is possible that GADD45B mRNA overexpression contributes negatively to overall survival in EOC.

KEGG enrichment analysis showed that the TCGA TCGA cohort had significant pathway enrichment for GADD45B. Its mRNA expression was correlated with markers of EMT. GSEA of the TCGA cohort showed significant associations between GADD45B levels and markers of EMT within the tumor microenvironment. It was also associated with a cell cycle pathway.

GADD45B not only has anti-metastasis effects, but it also affects PCa's resistance to chemotherapy. It may also be involved in the resistance of EOC cells to chemotherapy. The study's data is interesting because it highlights GADD45B's role in EOC cell metastasis. This is important because it provides us with new insights into the mechanisms that make PCa so resistant to chemotherapy.

GADD45B plays a role in cancer metastasis and is also overexpressed by many human cancers. However, it is not clear if this could have any clinical implications for epithelial cancer of the ovarian. GADD45B gene expression has been associated to increased cell viability. Its overexpression in EOC cells may result in enhanced tumor growth. GADD45B may also play a key role in tumor invasion or metastasis.

Epithelial Ovarian Cancer (EOC), which has a 30 percent mortality rate, is among the most deadly malignancies for women. EOC death can be caused by infection of adjacent organs or metastasis to peritoneum. Understanding the molecular mechanisms behind EOC metastasis is key to developing new treatments and increasing the survival rate of patients.

Correlation with EMT markers

In this study, we investigated the correlation between GLI3 and other EMT markers. This analysis showed that GLI3 occupied the central position in EMT regulation network. It also had high correlation with other important EMT markers and tight interactions. These results show that GLI3 has a critical role in EMT for ovarian cancer. It is not clear why EMT in ovarian cancer is so important.

The current understanding of epithelial-mesenchymal transition (EMT) and its role in cancer invasion and progression offers an opportunity to identify potential biomarkers and therapeutic targets. GLI3 was identified earlier by bioinformatics as a key regulator. GLI3 also contributes to EMT, as evidenced by Western blot and in vitro studies.

The current study focused on four EMT markers: PD-L1, ZEB1, TWIST1, and VIM. PD1 expression levels were analyzed using circulating tumor cells. Patients with high levels PD-L1 were more likely have a poorer prognosis. According to the previous study, patients with high levels PD-L1 were significantly more likely to be younger than their low-expression counterparts.

Adenomyosis can also be associated with aberrant EMT. This could be explained by an increase in b-catenin. It is interesting to note that b-catenin has been shown to affect the Wnt signaling pathway. This disrupts the balance between b-catenin, E-cadherin, and cell-cell adhens junction. There is evidence that altered levels may play a role in the pathogenesis or recurrence of adenomyosis.

The GADD45G Marker has many benefits

GADD45G gene expression can be used for epigenetic studies on learning and memory. There are many benefits. GADD45G gene manifestation has been shown to be associated with poor prognosis of esophageal Squamous Cell Carcinoma. Its expression is decreased in tumors, and it is methylated. It is also a key component in stress signaling and promotes death.