General recommendations when beginning method development Objective: The purpose of this document is to provide a quick reference for transferring MRM-based quantification methods from a SCIEX Triple Quad or QTRAP 6500+ system to a SCIEX 7500 system. While the best...
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Guide decisions during cell line development with more information at the intact level
Monitoring product quality attributes (PQAs) throughout monoclonal antibody (mAb) development is vital to ensuring drug safety and efficacy. By adopting orthogonal analytical techniques and integrating new technologies that have the potential to provide more information, it is possible to improve product quality and manufacturing efficiency and make more informed decisions.
Relative migration time
How do I set up my processing method to calculate the RRT of the main peak to 10kD in karat 32 software?
Current proteomics software compatibility for ZenoTOF 7600 system
Below is a summary of various other software packages that are useful for processing proteomics data from the ZenoTOF 7600 system. Note this list is not comprehensive and only covers the tools we have lightly tested to date. Acquisition Type Software Files needed...
Excel macro for plate building for transformation of 96-well to 384-well plates with generation of batch lists for SCIEX OS software
This macro-enabled workbook is designed to help with creating a formatted analysis list for the Echo® MS system, using 96-well plate maps or lists
sMRM Pro Builder template tutorial
The sMRM Pro Builder template is an Excel-based tool that can help you implement large panels of analytes in your lab. The Excel sheet will take your preliminary experimental results and compute retention times, retention time window widths and dwell time weighting to optimize your targeted assay.
MRM method transfer from a SCIEX Triple Quad or QTRAP 6500+ system to the SCIEX 7500 system
General recommendations when beginning method development Objective: The purpose of this document is to provide a quick reference for transferring MRM-based quantification methods from a SCIEX Triple Quad or QTRAP 6500+ system to a SCIEX 7500 system. While the best...
What is the difference between MRM3 vs MS/MS/MS (MS3)?
The MRM3 workflow and the MS3 scan are functionally the same QTRAP system scan, but used with different goals in mind. The main difference is how these scans are used in the whole MS workflow. With MS3 scans, you can use these in a data dependent mode for discovery...
How do I define the experimental design (the metadata) for my SWATH acquisition study within the OneOmics suite? What are the requirement for replicates?
In quantitative Omics research, the goal is to understand which analytes (protein or metabolite) are perturbed between experimental conditions; therefore we carefully design our studies to explore these questions. The algorithms used within the Assembler application...
Quickly compare identification results from ProteinPilot software
When a ProteinPilot Software search is complete, a ProteinPilot report is generated that contains all the false discovery rate (FDR) analysis information. More information on using the large and small ProteinPilot reports can be found here When doing method...
Breaking down the SCIEX Triple Quad™ 7500 LC-MS/MS System – QTRAP® Ready
Sensitivity and robustness carry different meanings in the world of mass spectrometry. Generally, sensitivity refers to an instrument’s ability to achieve lower limits of detection (LOD). Robustness, on the other hand, refers to an instrument’s ability to consistently...
Stoller Biomarker Discovery Centre, Addressing Some of the Biggest Issues in Medicine
The Stoller Biomarker Discovery Center, developed in partnership with SCIEX, was created to develop new omics technologies for biomarker research to understand the root cause of diseases such as cancer, cardiovascular disease, and autoimmune diseases. We initially announced our collaboration with the University of Manchester back in October 2015.
The History of Isotopic Labels for Quantitative Proteomics
Proteomics has become a vital tool for biological scientists performing research on the healthy and diseased states of living things. It involves the large scale and systematic analysis of all proteins within a given cell, tissue, or organism. Because proteins are regulated by many different internal and external stimuli, the proteome is dynamic and quantities of proteins can change from one state to the next. Therefore, in order to be of the highest utility, proteomics experiments need to both identify and quantify proteins so that comparative studies can be done, such as between healthy cells and tumor cells, or the comparison of different treatment regimens.
Taking care of your mass spectrometer—Onsite troubleshooting and maintenance training for today’s lab
Recently, we asked customers to tell us about their biggest challenges so we could customize training programs to meet the needs of today’s growing lab. Without hesitation, most of you said uptime and employee training are your most critical needs. As a result, our...
The Promise of Precision Medicine
Here is the latest update on the Worldwide Efforts to Accelerate Precision Medicine
The NIH recently issued a press release in early July announcing $55 million in awards. According to the release, the $55 million award in the fiscal year 2016 will go towards building the foundational partnerships and infrastructure needed to launch the Cohort Program of President Obama’s Precision Medicine Initiative (PMI). The PMI Cohort Program is a landmark longitudinal research effort that aims to engage 1 million or more U.S. participants to improve the ability to prevent and treat disease based on individual differences in lifestyle, environment, and genetics.
Why Study Lipids?
I had an opportunity to follow up with Steven M Watkins, Ph.D. to talk about the importance of studying lipids in disease. Steve has been working in the lipids field for over 20 years and is one of the foremost experts in lipid biology. Steve founded Lipomics in 2000, an early metabolomics company focused on quantitative lipidomics and had followed that company through a series of changes that led to its involvement in the clinical diagnostic development and global metabolomics. Steve authored over 70 peer-reviewed publications including several book chapters on lipids and lipid metabolism. His presentations on this topic are fascinating and very informative, so I wanted to capture some of his thinking here!
Improved complex sample processing for higher quality of results, reproducibility and depth of proteomic analysis
SCIEX partners to improve depth of proteome coverage
SCIEX and Pressure BioSciences address a major challenge for researchers performing complex sample preparation by marketing a complete solution to increase the depth, breadth, and reproducibility of protein extraction, digestion, and quantitation in all tissue types, especially challenging samples like tumors.
Industrialize Your Quantitative Proteomics Using a More Simplified Sample Prep
in part 1 and part 2 of this blog series we discussed how you can increase your efficiency for high throughput quantitative proteomics by industrializing your sample analysis and data processing. Microflow SWATH® Acquisition on your TripleTOF® system coupled with OneOmics™ data analysis tools allow you to run samples faster, collect data faster, and process your data files faster. It all adds up to getting more meaningful biological information in a shorter amount of time.
Industrialize Your Quantitative Proteomics with the OneOmics Project
For many labs, the days are long gone when it was acceptable to run only a few samples a week for your quantitative proteomics projects. The pressure for faster turn-around times, to support larger cohort studies, to sustain multiple research directions, and to transition from a purely unbiased discovery mode to verifying something truly unique and interesting, all demand a faster pace. Many labs are now being asked to analyze a hundred samples a week or more. In part 1 of this blog series, we saw how moving to a microflow SWATH workflow can dramatically increase your throughput with little compromise on overall results. In this part, we’ll address what to do with all of this data because it’s just no good if all we’ve done is move the bottleneck downstream.
Taking on Precision Medicine with Industrialized Proteomics
What if we could deliver the right treatment at the right time, to the right person to better, more effectively treat complex disease? This is the promise of precision medicine, to be able to approach complex disease treatment and prevention by taking into account individual variability in genes, environment, and lifestyle for each person.
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