Author

M. Backman

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Biochemistry· 1 Cancer Biology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Research Focus:protein folding & dynamics· 1

Frequent Co-Authors

A. Martin-Bernabe· 1 shared A. Mezheyeuski· 1 shared A. Portyanko· 1 shared B. Glimelius· 1 shared B. Nodin· 1 shared C. Hedner· 1 shared C. Larsson· 1 shared D. Borg· 1 shared

Activity by Year

2020-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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1 shared paperCancer Biology

A. Martin-Bernabe

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

The ratio of cytotoxic lymphocytes to M2-like macrophages is prognostic in immunogenic tumors

A. Mezheyeuski, M. Backman, J. Mattsson, A. Martin-Bernabe, C. Larsson, I. Hrynchyk, K. Hammarström, S. Ström, J. Ekström, S. Mauchanski, S. Khelashvili, M. Agnarsdottir, P.-H. Edqvist, J. Huvila, U. Segersten, , T. Sjöblom

The paper identifies a prognostic signature based on the ratio of cytotoxic lymphocytes to M2-like macrophages in tumor microenvironments, showing better survival prediction than existing immune scores in colon cancer and other high-mutation burden cancers.

bioRxiv · Mar 24, 2021 · PreprintCancer Biology

Deep ubiquitination site profiling by single-shot data-independent acquisition mass spectrometry

M. Steger, P. Ihmor, M. Backman, S. Mueller, H. Daub

The paper introduces a proteomics method using DIA-MS to profile ubiquitination with high precision and throughput, quantifying up to 70,000 ubiquitinated peptides per run.

bioRxiv · Jul 23, 2020Biochemistry