Author

Emma Ahrman

Division of Infection Medicine, Department of Clinical Sciences, Lund University, Klinikgatan 32, Lund, SwedenORCID 0000-0002-3848-3699Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Systems Biology· 2

Signature Assays, Organisms & Methods

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Assay:proteomics· 2 Approach:statistical model· 2 Organism:bacteria (other)· 1 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Organism:human· 1 Research Focus:protein folding & dynamics· 1

Frequent Co-Authors

Christofer A. Q. KarlssoniD· 2 shared Johan A. MalmströmiD· 2 shared Aaron M. ScottiD· 1 shared Adam LinderiD· 1 shared Alexander Doyle· 1 shared Andreas ForsvalliD· 1 shared Bobby TingstedtiD· 1 shared Carlos Alberto Gueto-TettayiD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersSystems Biology

Christofer A. Q. KarlssonORCID

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2 papers

Recent·Most cited

Multi-Enzyme Data-Independent Acquisition Mass Spectrometry for Proteoform-Aware Single-shot Proteomics

Moritz Heusel, Lotta Happonen, Christofer A.Q. Karlsson, Emma Ahrman, Johan Malmstrom

The paper introduces mE-DIA, a multi-enzyme DIA-MS workflow that improves proteoform detection in proteomics by integrating analysis and interpretation into a single toolset.

bioRxiv · Nov 9, 2026 · PreprintSystems Biology

Inferring the composition of the blood plasma proteome by a human proteome distribution atlas

Erik Malmström, Lars Malmström, Simon Hauri, Tirthankar Mohanty, Aaron M. Scott, Christofer A. Q. Karlsson, Carlos Alberto Gueto-Tettay, Emma Åhrman, Shahab Nozohoor, Bobby Tingstedt, Sara Regnér, Peter Elfving, Leif Hilding Bjermer, Andreas Forsvall, Alexander Doyle, , Johan A. Malmström

The paper develops a proteomics strategy to infer the origin of proteins in human plasma using a proteome atlas and RNA/protein atlases, demonstrating its application in disease cohorts.

Cell · Apr 8, 2025Peer-reviewedSystems Biology