Interleukin-8 is a chemokine produced by macrophages and other cell types such as epithelial cells, airway smooth muscle cells, and endothelial cells. In humans, the interleukin-8 protein is encoded by the CXCL8 gene. IL-8 is initially produced as a 99 amino acid precursor peptide, which is then cleaved to yield several active IL-8 isoforms. Interleukin-8 is a key mediator associated with inflammation and plays a key role in neutrophil recruitment and neutrophil degranulation. IL-8 has also been implicated in colorectal cancer by acting as an autocrine growth factor for colon cancer cell lines or by cleaving metalloprotease molecules to promote division and possibly migration. It has also been shown that IL-8 plays an important role in chemoresistance of malignant pleural mesothelioma by inducing the expression of transmembrane transporters. CD ComputaBio now offers professional IL-8 targeting services to meet your research needs.
Gene Ontology (GO) is an international standard classification system for gene function. GO enrichment analysis is to classify differential genes according to GO, and perform significance analysis, error rate analysis, and enrichment analysis according to the discrete distribution of the classification results, and obtain the purpose of gene function classification that is significantly related to the experiment. CD ComputaBio performed significant functional enrichment analysis on mRNA to obtain significant and targeted functions and target genes corresponding to the significant functions. Our significantly enriched features are displayed as a histogram.
Protein-protein interactions (PPIs) are critical for nearly every process in a cell, so understanding PPIs is critical to understanding cellular physiology in both normal and disease states. CD ComputaBio provides our clients with the best service for predicting protein-protein interaction networks. Our services include:
Secondary structure is defined as the hydrogen bonding of biological macromolecules in the atomic weight structure. In proteins, secondary structure is defined by the way hydrogen bonds between amino groups in the main chain, i.e. hydrogen bonds as defined by DSSP. In many RNA molecules, secondary structure is very important for the proper functioning of the RNA, sometimes even more so than sequence. This can be used to analyze noncoding RNAs. Using computational simulations to determine the secondary structure of RNA can greatly improve the accuracy of the structure. Our secondary structure prediction methods include:
CD ComputaBio provides professional IL-8 targeting services to meet customers' scientific needs. CD ComputaBio relies on world-class technical expertise, we provide customers with the highest quality one-stop IL-8 targeting services, including the development of experimental procedures according to different experimental needs. Please feel free to contact us for more details and our scientists will tailor the most reasonable plan for your project.
Multivariate analysis (MVA) is based on the principles of multivariate statistics, which involves observing and analyzing multiple statistical outcome variables at once. Typically, MVA is used to address situations where multiple measurements are made per experimental unit, and the relationship between these measurements and their structure is important. Our multivariate analysis solutions include:
PCA provided by CD ComputaBio is primarily used as a tool for exploratory data analysis and building predictive models. Principal Component Analysis (PCA) is a widely used statistical method.
Partial least squares discriminant analysis (PLS-DA) is one of the most widely used classification techniques in chemical indicators. PLS-DA services provided by CD ComputaBio have been widely used in metabolomics, proteomics and genomics.
CD ComputaBio introduced Orthogonal Partial Least Squares Discriminant Analysis (OPLS-DA) as an improvement to the PLS-DA method, which uses multivariate data to distinguish two or more groups (classes).