Author

S. Sultan

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 Microbiology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 3 Approach:experimental assay· 2 Organism:human· 2 Research Focus:cancer & tumor microenvironment· 1 Research Focus:cell-cell communication· 1 Assay:CITE-seq· 1 Approach:deep learning· 1 Assay:DNA methylation· 1

Frequent Co-Authors

F. Buytenhuijs· 2 shared J. Textor· 2 shared A. Fähnrich· 1 shared A. Reginald· 1 shared B. Yousuf· 1 shared C. G. Figdor· 1 shared C. Salguero Aranda· 1 shared D. Rogers· 1 shared

Activity by Year

2018-2022 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 15 mutual co-author links

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2 shared papersImmunology

F. Buytenhuijs

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

Machine learning analysis of the T cell receptor repertoire identifies sequence features that predict self-reactivity

J. Textor, F. Buytenhuijs, D. Rogers, E. Mallet Gauthier, S. Sultan, I. M. N. Wortel, K. Kalies, A. Fähnrich, R. Pagel, H. Melichar, J. Westermann, J. N. Mandl

The paper uses machine learning to identify TCR sequence features predicting self-reactivity, finding that n-nucleotide additions and acidic amino acids reduce self-reactivity.

bioRxiv · Nov 23, 2022Immunology

Comprehensive multi-omics characterization of gut microbiome extracellular vesicles reveals a connection to gut-brain axis signaling

S. Sultan, B. Yousuf, J. Yeo, T. Ahmed, N. E. Bouhlel, H. Hassan, Z. Minic, W. Mottawea, R. Hammami

This study characterizes gut microbiome extracellular vesicles through multi-omics approaches, revealing their role in delivering neuroactive molecules across gut and blood-brain barriers.

bioRxiv · Oct 28, 2022Microbiology

ImmuNet: A Segmentation-Free Machine Learning Pipeline for Immune Landscape Phenotyping in Tumors by Muliplex Imaging

S. Sultan, M. A. J. Gorris, E. Martynova, L. L. van der Woude, F. Buytenhuijs, S. van Wilpe, K. Verrijp, C. G. Figdor, I. J. M. de Vries, J. Textor

ImmuNet is a machine learning pipeline that identifies cell positions and phenotypes in multiplex imaging without segmentation, outperforming segmentation-based methods with error rates below 5-10%.

bioRxiv · Oct 22, 2021Immunology

STAT6 mRNA and protein knockdown using multiple siRNA sequences inhibits proliferation and induces apoptosis of the human colon adenocarcinoma cell line, HT-29

C. Salguero Aranda, D. Sancho Mensat, S. Sultan, A. Reginald, L. Chapman

The paper tests four STAT6-specific siRNA sequences in HT-29 colon cancer cells, showing they reduce STAT6 expression and inhibit proliferation while inducing apoptosis.

bioRxiv · Nov 5, 2018Cancer Biology