Author

S. Hayat

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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Cancer Biology· 2 Cell Biology· 2 Immunology· 1

Signature Assays, Organisms & Methods

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Organism:human· 4 Research Focus:cell-cell communication· 3 Approach:deep learning· 3 Research Focus:drug response / drug discovery· 2 Approach:experimental assay· 2 Assay:scRNA-seq· 2 Assay:spatial transcriptomics· 2 Assay:bulk RNA-seq· 1

Frequent Co-Authors

B. Wang· 2 shared R. Kramann· 2 shared A. Bredemeyer· 1 shared A. Fu· 1 shared A. Haller· 1 shared A. Kamburov· 1 shared A. L. Koenig· 1 shared A. Lakner· 1 shared

Activity by Year

2021-2024 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 13 mutual co-author links

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2 shared papersCell Biology

B. Wang

Mutual co-authors in cluster

Author profile →

5 papers

Recent·Most cited

Multimodal single-cell profiling reveals cancer crosstalk between macrophages and stromal cells in poor prognostic cholangiocarcinoma patients.

L. R. Heij, S. Hayat, K. Reichel, S. Maryam, C. Rourke, X. Tan, M. van den Braber, J. Verhoeff, M. Halder, F. Peisker, G. Wiltberger, J. Bednarsch, D. Heise, J. Campello Deierl, S. Lang, , U. Neumann

This study uses multimodal single-cell profiling to identify immune cell crosstalk mechanisms in poor prognostic cholangiocarcinoma, revealing key ligand pairs and pathways contributing to immune exhaustion.

bioRxiv · Feb 3, 2024Cancer Biology

Novel YAP1/TAZ pathway inhibitors identified through phenotypic screening with potent anti-tumor activity via blockade of GGTase-I / Rho-GTPase signaling

K. Graham, P. Lienau, B. Bader, S. Prechtl, J. Naujoks, R. Lesche, J. Weiske, J. Kuehnlenz, K. Brzezinka, L. Potze, F. Zanconato, B. Nicke, A. Montebaur, W. Bone, S. Golfier, , M. Lange

bioRxiv · Aug 30, 2023 · PreprintCancer Biology

GraphComm: A Graph-based Deep Learning Method to Predict Cell-Cell Communication in single-cell RNAseq data

E. So, S. Hayat, S. Kadambat Nair, B. Wang, B. Haibe-Kains

GraphComm predicts cell-cell communication in single-cell RNAseq data by integrating gene expression with protein interaction networks and spatial information.

bioRxiv · Apr 26, 2023 · PreprintCell Biology

Targeting the Immune-Fibrosis Axis in Myocardial Infarction and Heart Failure

J. M. Amrute, X. Luo, V. Penna, A. Bredemeyer, T. Yamawaki, G. S. Heo, S. Shi, A. L. Koenig, S. Yang, F. F. Kadyrov, C. Jones, C. Kuppe, B. Kopecky, S. Hayat, P. Ma, , K. Lavine

The paper identifies a fibroblast trajectory associated with cardiac fibrosis and shows that macrophage-fibroblast crosstalk via IL-1β signaling drives fibrosis.

bioRxiv · Oct 17, 2022 · PreprintImmunology

Multiscale interactome analysis coupled with off-target drug predictions reveals drug repurposing candidates for human coronavirus disease

M. Sugiyama, H. Cui, D. S. Redka, M. Karimzadeh, E. Rujas, H. Maan, S. Hayat, K. Cheung, R. Misra, J. B. McPhee, R. D. Viirre, A. Haller, R. Botelho, R. Karshafian, S. A. Sabatinos, , C. N. Antonescu

bioRxiv · Apr 13, 2021Cell Biology