Author

N. F. C. C. de Miranda

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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Immunology· 2 Cancer Biology· 1

Signature Assays, Organisms & Methods

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Approach:experimental assay· 2 Organism:human· 2 Research Focus:batch correction / integration· 1 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Assay:flow cytometry· 1 Research Focus:host-pathogen & immune response· 1

Frequent Co-Authors

M. E. Ijsselsteijn· 2 shared A. D. Bins· 1 shared A. Redeker· 1 shared A. Somarakis· 1 shared B. P. F. Lelieveldt· 1 shared D. Ruano· 1 shared E. Beyranvand Nejad· 1 shared E. E. Voest· 1 shared

Activity by Year

2020-2021 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 16 mutual co-author links

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2 shared papersCancer Biology

M. E. Ijsselsteijn

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

ImmunologybioRxivPreprintDec 24, 2021

OX40 agonism enhances efficacy of PD-L1 checkpoint blockade by shifting the cytotoxic T cell differentiation spectrum

G. Beyrend, T. C. van der Sluis, E. T. I. van der Gracht…·R. Arens

This study shows that OX40 agonism improves PD-L1 checkpoint blockade by altering T cell differentiation, leading to enhanced anti-tumor immunity through dynamic expression of NK and chemokine receptors.

DOI 10.1101/2021.12.24.474145

mousescRNA-seq

𝕏 PostBluesky

Cancer BiologybioRxivPreprintOct 14, 2021

γδ T cells are effectors of immune checkpoint blockade in mismatch repair-deficient colon cancers with antigen presentation defects

N. L. de Vries, J. v. d. Haar, V. Veninga…·E. E. Voest

This study shows that γδ T cells, not CD8+ T cells, mediate immune checkpoint blockade efficacy in HLA class I-negative, MMR-d colon cancers.

DOI 10.1101/2021.10.14.464229

humanproteomics

𝕏 PostBluesky

ImmunologybioRxivNov 26, 2020

Semi-automated background removal limits loss of data and normalises the images for downstream analysis of imaging mass cytometry data

M. E. Ijsselsteijn, A. Somarakis, B. P. F. Lelieveldt…·N. F. C. C. de Miranda

The paper develops a semi-automated background removal workflow to normalise imaging mass cytometry data, improving data quality and enabling better analysis and comparison of samples.

DOI 10.1002/cyto.a.24480

humanimaging

𝕏 PostBluesky