Author

Min Feng

Princess Máxima Center

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

Same name, identified by ORCID

Biology Disciplines

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Bioinformatics· 1 Cancer Biology· 1 Immunology· 1

Signature Assays, Organisms & Methods

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Approach:experimental assay· 2 Organism:human· 2 Assay:bulk RNA-seq· 1 Research Focus:cell-cell communication· 1 Research Focus:differential expression· 1 Research Focus:host-pathogen & immune response· 1 Assay:proteomics· 1 Approach:statistical model· 1

Frequent Co-Authors

Ankita S. Bhagwani· 1 shared Baojie ZhangiD· 1 shared Benjamin Chalopin· 1 shared Claudia RössigiD· 1 shared Claudia Y. JandaiD· 1 shared Fenna L. H. van Rijt· 1 shared Jannet KoelewijniD· 1 shared Johannes H. M. MerksiD· 1 shared

Activity by Year

2016-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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1 shared paperCancer Biology

Ankita S. Bhagwani

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Domain-resolved epitope mapping of B7-H3-targeting VHH-Fcs defines isoform-selective binders for antibody-drug conjugate development

Xiang Fang, Benjamin Chalopin, S. Seyda Gokturk, Ankita S. Bhagwani, Milana Sudareva, Ronja Molkenbur, Wenjin Tian, Min Feng, Fenna L. H. van Rijt, Kim van Noort, Jannet Koelewijn, Marianthi Chatziandreou, Baojie Zhang, Johannes H. M. Merks, Claudia Rössig, , Claudia Y. Janda

The paper maps epitopes of B7-H3-targeting VHH-Fcs to identify isoform-selective binders for antibody-drug conjugate development.

bioRxiv · Oct 19, 2026 · PreprintCancer Biology

piR-bmo-796514 Facilitates the Proliferation of Exogenous DNA Virus (Baculovirus) by Targeting the Host E3 Ubiquitin Ligase RNF181

Junming Xia, Shigang Fei, Wenjie Luo, Mingyang Zhou, Yibing Kong, Yigui Huang, Luc Swevers, Min Feng

The paper shows piR-bmo-796514 promotes Baculovirus proliferation by downregulating RNF181, which normally inhibits viral entry.

PLoS Pathogens · Jan 6, 2026Peer-reviewedImmunology

Whose sample is it anyway? Widespread misannotation of samples in transcriptomics studies

Lilah Toker, Min Feng, Paul Pavlidis

The paper identifies widespread sample mislabeling in transcriptomics studies by comparing sex annotations with gene expression data, finding 46% of datasets have mislabeled samples.

bioRxiv · Jul 19, 2016Bioinformatics