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Erkka Järvinen on Muck Rack

Erkka Järvinen

As seen in: BioRxiv, Drug Metabolism and Disposition (ASPET)
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Articles

Automated Mag-Net Enrichment Unlocks Deep and Cost-Effective LC–MS Plasma Proteomics

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By Erkka Järvinen, Xiaonan Liu, Markku Varjosalo, Salla Keskitalo
| dx.doi.org
Introduction Click to copy section linkSection link copied! Plasma is a minimally invasive biological material that is typically available in sufficient quantities within clinical studies and large biobank collections. Its wide availability makes plasma an excellent matrix for discovering diagnostic and prognostic disease and treatment markers in untargeted proteomics studies.
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Automated MagNet Enrichment Unlocks Deep and Cost-Effective LC-MS Plasma Proteomics

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By Erkka Järvinen, Xiaonan Liu, Markku Varjosalo, Salla Keskitalo
| BioRxiv
Abstract Plasma is an ideal material for proteomics due to its diverse protein content reflecting physiological and pathological states, and its compatibility with minimally invasive sampling. Deep proteomic profiling of plasma is hindered by the dominance of high-abundant proteins that mask the detection of low-abundant proteins. To overcome this, we compared five plasma protein enrichment methods, MagNet, ENRICHplus, ENRICHiST, EasySep, and EXONET, against neat plasma using LC-MS proteomics.
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Evaluating drug-drug interaction risk associated with peptide analogues using advanced in vitro systems

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By Aleksandra Galetin, Deepak K Bhatt, Erkka Järvinen, Charlotte Gabel-Jensen
| Drug Metabolism and Disposition (ASPET)
Abstract Drug-drug interaction (DDI) assessment of therapeutic peptides is an evolving area. The industry generally follows DDI guidelines for small molecules, but the translation of data generated with commonly used in vitro systems to in vivo is sparse.
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