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- Table of Contents
Facts about Plexin-B3.
In glioma cells, SEMA5A stimulation of PLXNB3 results in the disassembly of F-actin stress fibers, disruption of focal adhesions and mobile collapse in addition to inhibition of cell migration and invasion through ARHGDIA-mediated inactivation of RAC1. .
Human | |
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Gene Name: | PLXNB3 |
Uniprot: | Q9ULL4 |
Entrez: | 5365 |
Belongs to: |
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plexin family |
PLEXB3; Plexin B3; plexin-B3; PLEXR; PLXN6; PLXNB3
Mass (kDA):
206.847 kDA
Human | |
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Location: | Xq28 |
Sequence: | X; NC_000023.11 (153764196..153779346) |
Expression detected in Purkinje and granular cells in cerebellum, and in brain neocortex but not in corpus callosum. Expressed in glioma cells and embryonic kidney cells (at protein level). Expressed in brain, liver, pancreas and placenta, with weak expression detected also in lung and kidney. Expressed in several glioma cell lines.
Cell membrane; Single-pass type I membrane protein. Colocalizes with RIT2/RIN at the plasma membrane.
If you are interested to learn more about PLXNB3 as well as its uses in HGSC blood, you should read the article titled "Gene Ontology term enrichment analysis molecular functions of proteins increased in HGSC plasma." It also includes a brief biography about Steven Boster and his history. We hope you find the article useful.
The PLXNB3Marker can be used in order to determine the level or mRNA expression of target genes. This marker can be used in a variety o tumor types to analyze gene expression. The PLXNB3 is a target in therapies for breast cancer. It functions include activation the SEMA5A and neurite growth receptors, as well as cell migration. It also mediates Ca2+/Mg2+-dependent cell aggregate. It also plays a critical role in mediating the axon guidance process. Cell migration is inhibited by activating RAC1.
We compared observed counts to the expected using a gene-ontology analysis. We found that the most upregulated genes are related to glucose transport and mitosis. However, the lowest-ranking group had the greatest enrichment at more than four times what would be expected by chance.
This analysis is based on the enrichment score. It is the maximum distance between a particular gene and its reference sets. Enrichment scores can be statistically significant but are not statistically significant. Any score could appear with a nonzero probability. We use a method called bootstrap, which is used to evaluate the significance and impact of enrichment scoring. The bootstrap is a statistical technique that identifies scores that occur more often than expected. This process involves randomly permuting labels to find those with higher enrichment scores.
Interestingly, gene ontology term enrichment analyses revealed that many HGSC tumor cells exhibited epithelial-like traits. OCMI and tumor cells were also strongly adhered to the cancer cells during dissemination. Gene ontology term enrichment analysis molecular functions for proteins increased in HGSC plasma highlighted genes that are involved in ECM remodelling and adhesion.
GSEA ranks genes based on molecular functions. Each gene set is assigned an associated value. This represents the likelihood of the gene being associated with the phenotype. If a gene can be found to be associated to a set, its enrichment scores will increase. The increment is proportional to its position in the gene ontology graph.
Two datasets, containing data on a cohort of LAC and normal lung tissues, were analyzed for similarity of gene expression among samples. We identified 189 common DEGs within the datasets using the GEO2R and KEGG pathways. These DEGs could be validated using ArrayExpress as well as DAVID. 17 genes were found to be associated with prognosis of LAC. Six of these genes also showed significant associations to Rap1 signaling pathway or neuroactive ligand–receptor interactions.
A separate study showed that TP53 was associated a lower frequency among OCMI122 carcinoma cells. We found that OCMI137 tumours had a lower incidence of this gene than we expected. This was likely due to R248W mutant, a major driver in HGSC. In addition, OCMI137 spheroids were found to contain mutated p53 proteins despite the presence of wild-type TP53.
A group of downregulated protein genes identified genes that are associated with metabolism and inflammatory processes. These genes include those involved in cell motility, coding the Rho GTPase activating gene ARHGAP, as well epithelial markers. We found BRCA1 as well as BRCA2, which are likely to be relevant for therapy.
To find out more about Steven Boster, explore his background and life. Boster invented his first product in the late 90's and was soon known as "the man that converts science into the lavatory." After several IHC products, Boster turned his attention to ELISA. He created PicoKine(tm) his own proprietary ELISA platform. This technology allowed him develop high-sensitivity ELISA products for cell cultures and other applications.
Steve Boster, a Joliet native, was killed by COVID-19. He was the son and long-time manager in retail. He was also a Concordia Hall Member in Staunton. He is also blessed with Tammy Boster, Lisa Milton, and many nieces or nephews.
PMID: 15184888 by Conrotto P., et al. Interplay between scatter factor receptors and B plexins controls invasive growth.
PMID: 15218527 by Artigiani S., et al. Plexin-B3 is a functional receptor for semaphorin 5A.