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1 - 20 of 133 results
| Authors | S Rebollo-Ramirez, S Krokowski, D Lobato-Marquez, M Thomson, I Pennisi, S Mostowy, and G Larrouy-Maumus |
|---|---|
| Journal | Chem Res Toxicol |
| Publication Date | 20 Aug 2018 |
| Research Area(s) include | Drug Discovery, Infectious Disease Research, Toxicology Research |
| Technique | Seahorse XF Technology |
| Analyzer(s) include | Seahorse XFp |
| Mode | N/A |
| Cell Line(s) include | HeLa, Macrophage |
| Cell Type(s) include | Cervical cancer cells, Immune cells |
| Species | Human, Mouse |
| Assay / Method | Cell Mitochondrial Stress Test |
| Cell Seeding Density | 1.5x10^5 cells/mL, 5.0x10^5 cells/mL |
| Plate Coating | Not Specified |
| Authors | Mert S, Bulutoglu B, Chu C, Dylewski M, Lin FM, Yu YM, Yarmush ML, Sheridan RL and Uygun K |
|---|---|
| Journal | J Burn Care Res |
| Publication Date | 02 Sep 2020 |
| Research Area(s) include | Cell Physiology Research, Hepatobiology Research |
| Technique | Seahorse XF Technology |
| Analyzer(s) include | Seahorse XF 96 well (XF Pro/XFe96/XF96), Seahorse XFe24/XF24, Seahorse XFp |
| Cell Line(s) include | N/A (review) |
| Cell Type(s) include | N/A (review) |
| Species | N/A (review) |
| Assay / Method | Not Specified |
| Cell Seeding Density | Not Specified |
| Plate Coating | Not Specified |
eBook: Illuminating Therapeutic Targets and Drug Responses in Various Diseases.
Plasma-based lipidomic studies are powerful clinical research tools to understand the molecular basis of pathophysiological processes and to develop new therapeutic strategies for metabolic and cardiovascular diseases.
This application note describes the expansion of existing LC/MS/MS plasma lipidomics methodology to other tissues such as brain tissue, which are known to contain substantially more varieties of lipid species and classes.
An end-to-end workflow for sample prep, instrumental analysis, and untargeted data analysis for metabolomics and lipidomics from plasma or mammalian cell samples.
| Japanese (Japan) | Complete (PDF) |
|---|---|
| Korean (Korea) | Complete (PDF) |
In this application note, method transferability between laboratories is described, with particular attention to measurable values across four lab environments.
Long-term robustness of Agilent LC/Q-TOF systems for untargeted lipidomics in plasma cohort studies for clinical research in type 1 diabetes mellitus.
This Technical Overview introduces lipid-specific software for the Agilent LC/MS profiling lipidomics workflow.
Application note documenting a curated, high confidence lipidomics workflow for LC/Q-TOF.
| Korean (Korea) | Complete (PDF) |
|---|---|
| Chinese (Simplified) (China) | Complete (PDF) |
| Japanese (Japan) | Complete (PDF) |
Creation of a high-confidence lipidomics personal compound database and library for targeted data mining and annotation of untargeted high-resolution lipidomics data.
In this application note, we describe an LC/MS/MS-based method for the determination of 761 different human lipid species using a 10 µL volume of plasma.
| Japanese (Japan) | Complete (PDF) |
|---|---|
| Chinese (Simplified) (China) | Complete (PDF) |
| Korean (Korea) | Complete (PDF) |
This guide describes the Lipidomics workflow using the Agilent 6560 Ion Mobility Mass Spectrometer and MassHunter software.
Lipidomics analysis of human plasma using Agilent Bond Elut Lipid Extraction 96-well plates using liquid chromatography/mass spectrometry.
| Japanese (Japan) | Complete (PDF) |
|---|---|
| Chinese (Simplified) (China) | Complete (PDF) |
A new solid-phase extraction method is used for human plasma lipidomics sample preparation
| Japanese (Japan) | Complete (PDF) |
|---|---|
| Chinese (Simplified) (China) | Complete (PDF) |
Dr. Manuel Mayr talks about population research with MS-based lipidomics and proteomics.
How discovery lipidomics experiments can lead to a well-tested, rugged targeted method for targeted lipidomics.
Webinar: Population Research with MS-based Lipidomics and Proteomics Manuel Mayr, MD, PhD
This overview describes profiling strategies to study cardiovascular diseases and predict biomarkers for clinical research applications.