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Latest App Notes & Case Studies

Large-Scale Plasma Proteomics With PASEF content piece image
App Note / Case Study

Large-Scale Plasma Proteomics With PASEF

While depleting abundant proteins can facilitate the detection of low-concentration biomarkers, such methods can be labor-intensive, costly and can result in sample loss. Discover how parallel accumulation, serial elution and fragmentation (PASEF) can support researchers to achieve accurate large-scale plasma proteomics.
Metabolite Identification stock image
App Note / Case Study

Streamline Your Metabolite Identification and Clearance Analyses

Discover an automated solution for the consolidation and ranking of your metabolite structures. Explore a workflow that utilizes both EAD and CID data for the most confident characterization and streamlined data acquisition.
DNA molecules stock photo
App Note / Case Study

Discover an Automated Workflow for Precise Metabolite Identification

Discover an automated processing workflow that utilizes both EAD and CID data for the most confident characterization of pharmaceutical drug metabolites.
Alternative Transcript Isoform Detection With Single Cell and Spatial Resolution content piece image
App Note / Case Study

Alternative Transcript Isoform Detection With Single Cell and Spatial Resolution

The ability to study transcript isoforms in detail could have a significant impact on our understanding of health and disease. However, most commonly, bulk sequencing is the selected method that only provides an average of the transcripts expressed across your sample of cells.
Discover Novel Biomarkers for Drug Discovery and Clinical Diagnostics content piece image
App Note / Case Study

Discover Novel Biomarkers for Drug Discovery and Clinical Diagnostics

Developed for performance in human serum and plasma, the SomaScan Assay v4.1 can measure approximately 7,000 unique human protein analytes in small volumes of biological samples.
Fully Automated Image-Based Single-Cell Isolation and Picking content piece image
App Note / Case Study

Fully Automated Image-Based Single-Cell Isolation and Picking

Download this app note to learn how you can select 20 individual CTCs in 10 minutes, this approach can be used for DNA, RNA or proteome analysis as well as how these target cells are selected and isolated in high purity from heterogenous backgrounds.
T-Cell Metabolism content piece image
App Note / Case Study

Complete Characterization of T-Cell Metabolism With a Single Assay

Metabolism has emerged as a key driver of T-cell antitumor function. This means that modulating metabolic programs of T cells can be used as a strategy to improve the antitumor efficacy of adoptive T-cell therapies.
The Importance of Reproducibility for Gene Therapy Development content piece image
App Note / Case Study

The Importance of Reproducibility for Gene Therapy Development

The scale of research into potential gene therapies often means that work is distributed across multiple locations. Investigators must have confidence that the results obtained at one site are consistent with results obtained at other sites participating in the study.
Rapid Phosphoproteomics With DIA-PASEF content piece image
App Note / Case Study

Rapid Phosphoproteomics With DIA-PASEF

Data-independent acquisition (DIA) has been shown to increase the quantitative reproducibility and accuracy of MS-based phosphoproteomics. This app note explores the impact of dia-PASEF on the speed and sensitivity of phosphoproteomics.
An Integrated Multiomic Approach for the Diagnosis of Metabolic Diseases content piece image
App Note / Case Study

An Integrated Multiomic Approach for the Diagnosis of Metabolic Diseases

Inherited metabolic disorders (IMDs) are a vast and complex group of rare genetic diseases presenting throughout a patient’s life span.
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