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Facts about Integrin alpha-5.
ITGA5:ITGB1 binds to PLA2G2A by means of a site (site 2) which is distinct from the classical ligand-binding site (site 1) and this induces integrin conformational changes and improved ligand binding to site 1 (PubMed:18635536, PubMed:25398877). ITGA5:ITGB1 functions as a receptor for fibrillin-1 (FBN1) and mediates R-G-D-dependent cell adhesion to FBN1 (PubMed:12807887, PubMed:17158881).
Human | |
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Gene Name: | ITGA5 |
Uniprot: | P08648 |
Entrez: | 3678 |
Belongs to: |
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integrin alpha chain family |
Integrin alpha 5 beta 1; VLA-5
Mass (kDA):
114.536 kDA
Human | |
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Location: | 12q13.13 |
Sequence: | 12; NC_000012.12 (54395261..54419266, complement) |
Membrane; Single-pass type I membrane protein. Cell junction, focal adhesion. Cell surface.
What are the best uses Of The ITGA5 Markers? This article will discuss what this marker does and its function in the infiltration of immune cells. We will also discuss its use in ovarian cancer, the connection to neutrophils, as and how to interpret the results. This article is intended for scientists worldwide. You'll be able to see how this marker will aid you in making better decisions about your research and save lives.
ITGA5 expression has been shown to correlate with the number of immune cells that invade intestinal tumors. ITGA5 expression is linked to tumor purity, dendritic cells numbers, and various kinds of immune cell infiltration into the tumor. Positive correlations were observed between immune cell markers and tumor purity, ITGA5 expression, as well as infiltration of immune cells. It is interesting to note that ITGA5 expression was significantly correlated with markers of Th2 and M2 cells in gastric tumors.
The ITGA5 marker can be utilized in a variety of areas of immunotherapy for cancer. ITGA5 is a receptor for the protein fibronectin, and its expression is associated with the infiltration of immune cells. While prior research has focused on its role within tumor cells, new studies have discovered that it is present in cancer-associated fibrblasts, TAMs, as well as chimeric receptor-expressing T cells. These data indicate that ITGA5 is able of directly regulating the recruitment of immune cell and alternative activation.
In the present study, researchers analysed tumor samples to identify the immune cell compartments. The immune cells were identified using multicolor cell staining to identify macrophages associated with tumors (TAMs) and immune cells. These immunocytochemistry tests showed an increased amount of immunosuppressive CD4+ Tregs, and TAMs in tumor tissue compared to in normal tissue. This suggests that ITGA5 stimulates recruitment of monocytes and TAMs and also activates Th2 cells.
The ITGA5 marker is a potent and useful tool for cancer immunotherapy. ITGA5 is one of the most popular markers in the field of cancer immunotherapy due its high-resolution imaging capabilities and capability to detect T-cells in tumors. ITGA5 antibody is useful in many clinical applications. It can be used to determine the presence of immune cells within cancer. It is also used to assess the cancerous tumor's immune cells' infiltration.
It is unclear what role the TCR Vab gene expression plays in the regulation and maintenance of neutrophil biology. This review provides an overview of Ly6 and identifies specific Ly6 proteins that could have a role to play in neutrophil biology. T cells come with a vast variety of TCR Vabs. However, it is unclear what role neutrophils play. However, TCR-positive cells might exhibit additional biological features.
While it is generally accepted that neutrophils are not adaptive immune cells, they play an important role in the control of inflammation processes. In the event of inflammation, neutrophils get recruited from bone marrow reserves and circulate throughout the body. They are responsible for killing microorganisms by the process of phagocytosis. They also play an important role in the regulation of the circadian gene.
Several immunological studies have shown that neutrophils can be linked to different pathological conditions. Anti-neutrophil antibodies of various kinds are being developed to reduce neutrophils in live. Anti-Gr1 and anti-Ly6C antibodies are two that recognize Ly6G proteins and have been extensively utilized to eliminate neutrophils. Ly6B anti Ly6G antibodies may be more efficient.
2x106 neutrophils cocultured with 50 nM PMA , using caspase-1, NLRP3, or caspase-11 antibodies. The medium was then removed and the supernatant collected. After that, the number neutrophils in the supernatant was determined using a Picogreen dsDNA kit (Invitrogen) and analyzed for DNA content by DAPI staining.
Researchers recently examined the relationship between ITGA5 gene expression levels and prognosis a group of women with Ovarian Cancer. Women with higher levels of ITGA5 expression were significantly more likely to die than women who had lower levels. These findings are consistent with previous studies. ITGA5 has an extremely low prognostic value but it could have a positive impact on the overall survival.
ITGA5 is a member of the family of integrin alpha chains and interacts with ITGB1 to create the integrin A5b1 complex. It performs a variety of biological roles, including helping in tumor progression. Several studies have associated high levels of ITGA5 expression with poor prognosis among various types of tumors, such as triple negative breast cancer, hepatocellular cancer, lung cancer and ovarian cancer.
ITGA5 expression was associated with markers of gene expression for Th2 and M2 macrophages. It also correlated with markers for monocytes and TAMs. TAMs originate from mononuclear cells. They can be induced to transform into M2 by Th2 cells that secrete cytokines. M2 cells have protumoral activity and stimulate angiogenesis, local immune suppression, and genetic instability.
Prognostic data is still needed to determine the precise value of the ITGA5 marker in predicting cancer outcome. These findings suggest that further study is needed to determine the prognostic value of ITGA5. Prognostic evaluations must also consider other cancer markers in addition ITGA5.
The study's data were examined using SPSS 21.0 software (IBM Corp.). The results revealed that ITGA5 expression was significantly greater than that of adjacent normal tissues and STAT6. Spearman's correlation was used to estimate the correlation coefficients. The Student's t test was employed to evaluate Western Blot tests. A P-value of 0.05 was considered statistically significant.
Researchers used Metascape to identify ITGA5-related gene that interact with the protein. These genes are involved in adhesion between cells and leukocyte movement, wound healing, and myeloid differentiation. These genes are highly enriched in the PID integrin and avb3 pathways. These results also indicate that ITGA5 (and its interacting proteins) are essential in the signaling pathways of integrin.
The research aims to identify the key cells that cause the recurrence and progression of ovarian cancer. It also aims to identify the kinds of cells involved. This knowledge will help to test treatments that target specific changes in these cells. This information could also be helpful in identifying other tumors and disease processes which share similar characteristics with the ovarian cancer. This study may help to identify the challenges involved in the evaluation of treatments.
The first step to identify these biomarkers is to determine if the proteins are present. The iTRAQ technology is able to detect these markers in the fluid of the ovarian cysts as well as in the ovarian cancer tissue. While these methods aren't yet widely utilized in clinical practice, there are promising applications. Numerous studies have investigated the potential of protein Z as an early detection tool in ovarian cancer.
Another step towards better diagnosis is the development of new methods using mass cytometry. There aren't any reliable methods to analyze the results from imaging masscytometry (IMC) at present. Researchers are currently working on an artificial intelligence-based process for analyzing high-grade, serous Ovarian carcinoma samples. It is possible to identify biomarkers that can help predict the survival of patients after the data is analyzed and determined.
Adenovirus vectors are another stage in the development of targeted treatments for ovarian cancer. This research employs adenoviruses to deliver RNA and peptides into cells. Research has shown that tumors that express high levels of CAR respond well to this treatment. The researchers have also discovered that CAR expression is inversely related to tumor grade. Another step towards the development of targeted therapies for cancer with adenoviral vectors was discovered.
PMID: 2958481 by Argraves W.S., et al. Amino acid sequence of the human fibronectin receptor.
PMID: 1834647 by Birkenmeier T.M., et al. The alpha 5 beta 1 fibronectin receptor. Characterization of the alpha 5 gene promoter.
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