MPI Antibodies

Mannose-6-phosphate isomerase (MPI)

Involved in the synthesis of the GDP-mannose and dolichol-phosphate-mannose necessary for a number of critical mannosyl transfer reactions. .

Gene Information

Human
Gene Name:	MPI
Uniprot:	P34949
Entrez:	4351

Family

Belongs to:
mannose-6-phosphate isomerase type 1 family

Alternative Names

CDG1B; EC 5.3.1; EC 5.3.1.8; FLJ39201; mannose phosphate isomerase; mannose-6- phosphate isomerase; mannose-6-phosphate isomerase; Phosphohexomutase; phosphomannose isomerase 1; Phosphomannose isomerase; PMI; PMI1phosphohexomutase

Molecular Weight

Mass (kDA):
46.656 kDA

Genomic Context

Human
Location:	15q24.1
Sequence:	15; NC_000015.10 (74890042..74902219)

Tissue Specificity

Expressed in all tissues, but more abundant in heart, brain and skeletal muscle.

Subcellular Localizations

Cytoplasm.

Diseases

• Coronary Artery Disease
• Infarction
• Myocardial Infarction
• Pain
• Ischemia
• Myocardial Ischemia
• Ventricular Dysfunction, Left
• Stenosis
• Heart Failure
• Heart Diseases
• Coronary Heart Disease
• Chest Pain
• Diabetes Mellitus

• Coronary Stenosis
• Depressive Disorder
• Hypertensive Disease
• Peritonitis
• Angina Pectoris
• Malignant Neoplasms
• Cardiac Death

Pathways

• Localization
• Glycosylation
• Glomerular Filtration
• Aging
• Pathogenesis
• Translation
• Vasodilation
• Secretion
• Segmentation
• Mating
• Angiogenesis
• Excretion
• Inflammatory Response

• Bone Resorption
• Transposition
• Transport
• Proteolysis
• Reflex
• Cognition
• Cell Proliferation

PTMs

• Glycosylation
• Phosphorylation
• Cleavage
• Oxidation
• Iodination
• Nitration

• Carboxylation
• Reduction
• Deamination
• Decarboxylation
• Deamidation
• Myristoylation

Research Areas

• Lipid and Metabolism

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

Boster Bio: Best Uses Of The MPI Marker

MPI stands for Membrane Protein Interactions. It is used to determine cellular permeability. This biomarker permits scientists to submit their findings to species as well as applications or samples. Scientists can earn product credits when they submit their research results. Boster scientists aren't restricted to using it in the United States, but can also submit results from other countries. The Boster Bio: Best Uses of the MPI Marker is a global program for scientists.

Monoclonal Antibody Anti-CD68 (Macrophage marker)

The CD68 antibody recognizes the 110kDa glycoprotein on the surface of macrophages. The protein is extensively used in immunohistochemistry to determine macrophages in tissue sections. It interacts with myeloid precursors and peripheral blood granulocytes. It can be used as staining marker in the rare cases of true histiocytic Neoplasia.

Although the precise function of CD68 is not known, it is used as a marker to assess cancer cells and their metastatic potential. It is also expressed in normal lymphoid cells, mast cells and microglia. However, its expression is also found in many kinds of tumor cells including some that are malignant melanoma.

The anti-CD68 (Macrophage Markers) monoclonal antibody is extremely specific and sensitive to CD68. CD68 binds to an oxidized LDL and stimulates phagocytosis. However, this anti-CD68 (Macrophage Marker) Monoclonal Antibody is only suitable for use in the laboratory.

It is important to keep in mind that while the majority of lung cancers express CD68 however, a subset of these cells also express CD163. The anti-CD68 mAb is used to enhance the detection of macrophages in tissue sections. It is crucial to keep in mind that anti-CD68 mAb is not a panacea. The results can differ greatly from one mAb.

The monoclonal antibody to CD68 is produced by the FA-11 mouse. It recognizes the mouse homologue of human CD68. Although murine CD68 can be expressed on many cells, it is typically found on macrophages as well as myeloid-derived osteoclasts. Additionally, human CD68 antibodies are abundantly expressed in the tumor stroma.

Macrophage Marker

If you're looking for the most effective use of the MPI marker, keep reading. MPI is a microparticle identification. The histogram of the particle size distribution can provide an indication of MPI value. It is also a valuable tool for quality control and detecting microbes, particularly in environments with high levels of microbial contamination. The MPI value is proportional to the particle size. Therefore, monitoring the size and shape of a histogram can assist in monitoring the health of the environment and also to control quality.

Histogram shape

A histogram is an image representation of data. There are three types: A bell-shaped thetogram has a peak in the center and a smooth, gradual taper to the right. A bell-shaped thetogram is usually the representation of a distributed dataset. A bimodal histogram contains two peaks and can represent data from different systems. If this is the situation, it should be analysed independently.

The histogram's shape depends on the primary symbology, color scheme and the type of data. If the data contains the percentage of customers who are unhappy for instance the minimum number will be eighty percent. This will cause all locations with low satisfaction with customers drawing the same symbol. To change the value of a histogram double-click the minimum and maximum values, enter the value you wish to change, and then press Enter. Be aware that values that go beyond the histogram boundaries will not draw on the map. The histogram is drawn by stretching horizontal columns to represent the minimum and maximum values.

A bin histogram that is uneven could also be misleading. The bins in an uneven histogram might have different sizes, making them difficult to interpret. When looking at the histogram, be aware that the bin sizes will affect the perception of the number of points, which should be equally. It is also important to consider the type and purpose of the variables being examined to avoid confusion. Bin sizes between zero and five are not advised if the variable can only accept integer values.

The shape of the histogram can be used to monitor the health and well-being of a culture. A healthy Jurkat cell population has an MPI of 0.96, while necrotic-spiked cell have an MPI of 0.74. The size of healthy cells is greater than those of necrotic-spiked populations when comparison to the four to eight-um range.

Monitoring for changes in MPI values

The MPI Tool can be used to track changes in MPI values. This tool can be used alongside other profiling tools. It has callback features that allow the intercepting of MPI communications within the library to collate monitoring data into one file. This tool allows you to examine changes in MPI values, and later refine your results using the data. Below are some of the advantages of MPI Tool.

The MPI is a tool to monitor the health of the heart of fetuses who suffer from heart disease, in particular twin-twin transfusion syndrome. It can also be useful in determining the prognosis for the fetal inflammatory reaction syndrome. Although the method is new, it has been proven to be highly reproducible. Researchers have since published a number of studies on MPI measurements. While MPI is still a relatively new science, there are a lot of advantages to monitoring changes in MPI values.

MPI assesses poverty differently than the conventional measure of $1.90 per day. Many countries don't have most recent data because the surveys were done over a number of years. MPI tables list the year of the survey to make it easier for analysis. However cross-country comparisons are not possible due to this limitation. The MPI tables encourage countries to collect surveys of their current. This method should eventually make MPI estimations more frequent.

The detection of microbes that are contaminating the environment

The decontam method is an easy and straightforward method of identifying contaminants. It aids in distinguishing between contaminants and non-contaminants in numerous studies. It can be used to enhance biological inferences using MGS methods. It can also be integrated into existing MGS workflows. It comes with numerous benefits and costs a small amount. It can be used for improving metagenomic or marker-gene sequencing results.

The microbial analysis of dairy powder doesn't provide a full picture of the microbial composition, however, it can be useful in determining the presence of spoilage and pathogenic bacteria. Pathogenic bacteria can produce harmful toxins and may persist in contaminated products despite extreme processing. The bacterial genes found in B. cereus sensu lato aren't specific to any species and thus this method can identify different kinds of pathogenic bacteria.

Researchers were able identify more than two dozen microbial DNA sequences by using deoxyoligonucleotide primers. These sequences encode for factors that could be involved in interactions between microbes and their host cells. The sequences amplify a subset of the candidates, which includes 26 genes that encode for elements involved in interactions between microbial cells and host cells.

Presently, the most commonly used method to detect microbial contaminants is to use the MPI marker. If a specific kind of contamination is prevalent then it is highly unlikely that it will be present in the environment. Therefore, it is essential to employ a decontam algorithm to identify microbiological contaminants in the samples. This method is best utilized in large studies that require several batches of samples.