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Villemin JP, Bassaganyas L, Pourquier D, Boissière F, Cabello-Aguilar S, Crapez E, Tanos R, Cornillot E, Turtoi A, Colinge J. Inferring ligand-receptor cellular networks from bulk and spatial transcriptomic datasets with BulkSignalR. Nucleic Acids Res 2023:7152875. [PMID: 37144485 DOI: 10.1093/nar/gkad352] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2022] [Revised: 03/24/2023] [Accepted: 04/22/2023] [Indexed: 05/06/2023] Open
Abstract
The study of cellular networks mediated by ligand-receptor interactions has attracted much attention recently owing to single-cell omics. However, rich collections of bulk data accompanied with clinical information exists and continue to be generated with no equivalent in single-cell so far. In parallel, spatial transcriptomic (ST) analyses represent a revolutionary tool in biology. A large number of ST projects rely on multicellular resolution, for instance the Visium™ platform, where several cells are analyzed at each location, thus producing localized bulk data. Here, we describe BulkSignalR, a R package to infer ligand-receptor networks from bulk data. BulkSignalR integrates ligand-receptor interactions with downstream pathways to estimate statistical significance. A range of visualization methods complement the statistics, including functions dedicated to spatial data. We demonstrate BulkSignalR relevance using different datasets, including new Visium liver metastasis ST data, with experimental validation of protein colocalization. A comparison with other ST packages shows the significantly higher quality of BulkSignalR inferences. BulkSignalR can be applied to any species thanks to its built-in generic ortholog mapping functionality.
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Affiliation(s)
- Jean-Philippe Villemin
- Institut de Recherche en Cancérologie de Montpellier (IRCM), Inserm U 1194, Montpellier, France
- Université de Montpellier, Montpellier, France
- Institut régional du Cancer Montpellier (ICM), Montpellier, France
| | - Laia Bassaganyas
- Institut de Recherche en Cancérologie de Montpellier (IRCM), Inserm U 1194, Montpellier, France
- Université de Montpellier, Montpellier, France
- Institut régional du Cancer Montpellier (ICM), Montpellier, France
| | - Didier Pourquier
- Institut de Recherche en Cancérologie de Montpellier (IRCM), Inserm U 1194, Montpellier, France
- Institut régional du Cancer Montpellier (ICM), Montpellier, France
| | | | - Simon Cabello-Aguilar
- Institut de Recherche en Cancérologie de Montpellier (IRCM), Inserm U 1194, Montpellier, France
- Université de Montpellier, Montpellier, France
- Institut régional du Cancer Montpellier (ICM), Montpellier, France
| | - Evelyne Crapez
- Institut de Recherche en Cancérologie de Montpellier (IRCM), Inserm U 1194, Montpellier, France
- Institut régional du Cancer Montpellier (ICM), Montpellier, France
| | - Rita Tanos
- Institut régional du Cancer Montpellier (ICM), Montpellier, France
| | - Emmanuel Cornillot
- Institut de Recherche en Cancérologie de Montpellier (IRCM), Inserm U 1194, Montpellier, France
- Université de Montpellier, Montpellier, France
- Institut régional du Cancer Montpellier (ICM), Montpellier, France
- Faculté de Pharmacie, Université de Montpellier, Montpellier, France
| | - Andrei Turtoi
- Institut de Recherche en Cancérologie de Montpellier (IRCM), Inserm U 1194, Montpellier, France
- Université de Montpellier, Montpellier, France
- Institut régional du Cancer Montpellier (ICM), Montpellier, France
| | - Jacques Colinge
- Institut de Recherche en Cancérologie de Montpellier (IRCM), Inserm U 1194, Montpellier, France
- Université de Montpellier, Montpellier, France
- Institut régional du Cancer Montpellier (ICM), Montpellier, France
- Faculté de Médecine, Université de Montpellier, Montpellier, France
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