Spotlight: Service and Products at a glance

Most Proteomic technologies deliver peptides using a top-down approach, and to do so utilize chemical digestion that introduces a bias from the start, thus limiting the body of information and artificially introducing peptides. PXBiovisoN’s peptidomics technology builds from the bottom-up starting with sophisticated separation technologies to elucidate the peptidome.  

This page provides a brief summary of our services and products:

Preanalytical Service: Sample Preparation - Enrichment of Low Molecular Weight Components from Complex Mixtures

Whether you are isolating a putative diagnostic biomarker or drugs under the scrutiny of the FDA/EMEA or PMDA, PXBioVisioN delivers superior isolation of small molecules. From its uncompromising pursuit of the endogenous peptidome, PXBioVisioN works with you to deliver your analytes of interest with the highest concentration and resolution.

The sample preparation service offers enrichment solutions for low molecular analytes. With a more than 95% of total protein removal, sample volumes between 100 microliter and 1 milliliter can be explored. In addition to body fluids like blood plasma, serum, urine, CSF or synovial fluid, the unique approach can be applied to tissues and cell culture.
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Improvements made it possible that this technology can be applied not only to peptides but also to enrich drugs from complex body fluids like plasma or serum. We offer the possibility to evaluate the preparation service for pharmaceuticals for a limited number of samples for free to ensure, that we meet your expectations. Feel free to contact us for a detailed offer.

To learn more follow this link.

Preanalytical Service: Sample Quality Assessment - Determination of Sample Quality

You spend thousands on the acquisition and storage of samples every year, and the quality of a sample is tantamount to every therapeutic and diagnostic program. PXBioVisioN has leveraged its deep knowledge of peptide biomarkers reflecting sample quality to bring you Sample Quality Assessment (SQA).

The determination of sample quality is an important issue to ensure validity of results. Particularly in the field of multiplex assays it is a prerequisite for effective study outcomes. Preanalytic procedures can significantly alter the results derived from the analysis of blood-derived samples, especially by introducing unwanted systematic biases, which could lead to increased false positive findings. These procedures comprise the processes prior to the actual analysis of the sample and include steps needed to obtain the primary sample (e.g. blood) and to obtain the analytical specimen (e.g. plasma, serum, cells). 

PXBioVisioN’s SQA analysis provides immediate return on investment as you leverage the information of your plasma or serum samples to screen, monitor, and adjust for better sample quality.
SQA provides immediate feedback so that you can:

  • Adjust Procedures and Protocols of sample acquisition
  • Adjust or update acquisition materials
  • Adjust Handling and Storage requirements
  • Grade and Categorize samples for best use
  • Evaluate stored samples to determine whether to keep or destroy
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Peptides as products of proteolytic cleavage events exhibit a close connection to protease activity. Increased or altered activity of proteases during sample collection, specimen generation, sample storage and processing are mirrored by alterations in abundance of specific peptides.
Sample quality assessment by Peptidomics is a versatile tool to qualify biological specimens. The analysis of pre-analytical biases allow for characterization of samples, detection of outliers and recognition of erroneous sample handling procedures.

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Contract Research: Pharmacopeptidomics - Monitoring Drug Effects In Vivo

The human genome contains more than 550 different proteases and peptidases, and also a considerable number of protease inhibitors. Very successful drugs have been launched based on protease inhibition. However, in many cases proteases do have more than the one substrate that is the target of drug development. Similarly, protease inhibitors may act on more than the target protease and can therefore induce undesired effects in the patient.

In vivo characterization of protease inhibitors by analyzing native peptides offers the possibility to determine the specificity of the inhibitor under physiological conditions. Analysis of peptides by Peptidomics allows to monitor protease activity in vivo and to describe the influence of protease inhibition.

No other technology can provide you more comprehensive information on your protease inhibitor.  Whether you’re in a rat model or in humans, isn’t it worth knowing how your protease inhibitor is acting? Our bottom-up peptide profiling of the global peptidome delivers fast and affordable results so you can evaluate performance and make decisions.
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The proteome is the set of all proteins encoded by the genome and present in a specific time frame in an organism. While the genome remains stable to a large extent, the proteome is remarkably dynamic and different mechanisms of post-translational control exist. An important irreversible control level is proteolytic processing of proteins. Proteases can initiate, modulate and terminate many important biological functions by specific substrate cleavage. These cleavage events can lead to the generation of native peptides. Consequently the analysis of the full complement of small proteins and peptides is capable to provide insights on the protease activity in a given sample since peptides contain information on the preceding proteolytic processing.

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Software Solutions: Spectromania - Visualization of Mass Spectrometric Data

Data mining is usually defined as the process of analyzing data in a supervised or unsupervised manner to discover useful and relevant information that is hidden within complex data. After data acquisition, data analysis is possible by a plethora of data analysis tools, which are chosen depending on the purpose (e.g. detection/comparison or identification). For the retrieval of significant mass spectrometric signals , uni- or multivariate statistics (e.g. partial least square analysis) are often employed. Additionally visualization of MALDI mass spectra is important to mine basic structures in the data.
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Visual representation provides a vivid interface for the data analyst, helps to assess process related quality aspects (e.g. performance of separation, m/z de-calibration or presence of contaminants), and supports the process of knowledge extraction.

To learn more follow this link.