Author

M. Mariani

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· 1 Immunology· 1 Pathology· 1

Signature Assays, Organisms & Methods

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Research Focus:differential expression· 3 Research Focus:cell type annotation· 2 Research Focus:gene regulatory network inference· 2 Approach:statistical model· 2 Assay:bulk RNA-seq· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Approach:experimental assay· 1

Frequent Co-Authors

A. Alonso· 1 shared A. Chen· 1 shared A. Cohen· 1 shared A. Fortin· 1 shared A. Juillard· 1 shared A. M. Batarseh· 1 shared A. N. Harrison· 1 shared A. Pastore· 1 shared

Activity by Year

2018-2020 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 12 mutual co-author links

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1 shared paperCancer Biology

A. Alonso

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Author profile →

3 papers

Recent·Most cited

Lipidome profiles of plasma microvesicles differ in experimental cerebral malaria, compared to malaria without neurological complications

A. M. Batarseh, F. Vafaee, E. Hosseini-Beheshti, A. Chen, A. Cohen, A. Juillard, N. H. Hunt, M. Mariani, T. Mitchell, G. E. R. Grau

The paper compares lipidome profiles of plasma microvesicles in experimental cerebral malaria and non-CM malaria, finding distinct lipid changes associated with CM.

bioRxiv · Jul 28, 2020 · PreprintPathology

IFNβ and TNFα cooperate to induce a STAT1-independent antiviral and immunoregulatory program via non-canonical STAT2 and IRF9 pathway

M. Mariani, P. Dasmeh, A. Fortin, E. Caron, M. Kalamujic, A. N. Harrison, D. M. Kasumba, S. Cervantes-Ortiz, E. Mukawera, A. W. R. Serohijos, N. Grandvaux

The paper shows that IFNβ and TNFα together induce a STAT1-independent antiviral program via non-canonical STAT2 and IRF9 pathways.

bioRxiv · Nov 7, 2018 · PreprintImmunology

High throughput droplet single-cell Genotyping of Transcriptomes (GoT) reveals the cell identity dependency of the impact of somatic mutations

A. S. Nam, K.-T. Kim, R. Chaligne, F. Izzo, C. Ang, G. Abu-Zeinah, N. D. Omans, A. Pastore, J. Taylor, A. Alonso, M. Mariani, J. R. Cubillos-Ruiz, W. Tam, R. Hoffman, J. M. Scandura, , D. A. Landau

This study introduces GoT, a high-throughput method linking single-cell genotypes and transcriptomes, revealing that somatic mutations' transcriptional effects depend on cell identity.

bioRxiv · Oct 16, 2018Cancer Biology