Author

C. Ramirez-Suastegui

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 Cell Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 3 Research Focus:differential expression· 3 Organism:human· 3 Assay:scRNA-seq· 3 Approach:experimental assay· 2 Approach:statistical model· 2 Research Focus:cell-cell communication· 1 Research Focus:clustering· 1

Frequent Co-Authors

G. Seumois· 2 shared H. Simon· 2 shared P. Vijayanand· 2 shared A. C. Gay· 1 shared A. Chawla· 1 shared A. Collin· 1 shared A. Grifoni· 1 shared A. J. Gutierrez· 1 shared

Activity by Year

2020-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 20 mutual co-author links

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2 shared papersImmunology

G. Seumois

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

An integrated cell atlas of the human lung in health and disease

L. Sikkema, D. C. Strobl, L. Zappia, E. Madissoon, N. S. Markov, L.-E. Zaragosi, M. Ansari, M.-J. Arguel, L. Apperloo, C. Becavin, M. Berg, E. Chichelnitskiy, M.-i. Chung, A. Collin, A. C. Gay, , K. Travaglini

The paper integrates 46 single-cell datasets to create the Human Lung Cell Atlas, improving cell annotation and uncovering gene modules linked to demographics and anatomy.

bioRxiv · Mar 10, 2022Cell Biology

Transcriptomes and metabolism define mouse and human MAIT cell heterogeneity

S. Chandra, G. Ascui, T. Riffelmacher, A. Chawla, C. Ramirez-Suastegui, V. C. Castelan, G. Seumois, H. Simon, M. P. Murray, G.-Y. Seo, A. L. R. Premlal, G. Verstichel, Y. Li, C.-H. Lin, J. Greenbaum, , M. Kronenberg

This study identifies MAIT cell heterogeneity in mice and humans through single-cell RNA sequencing and metabolic analysis, revealing distinct transcriptomes and metabolic states in different tissues and species.

bioRxiv · Dec 20, 2021 · PreprintImmunology

Single-cell transcriptomic analysis of SARS-CoV-2 reactive CD4+ T cells

B. J. Meckiff, C. Ramirez-Suastegui, V. Fajardo, S. J. Chee, A. Kusnadi, H. Simon, A. Grifoni, E. Pelosi, D. Weiskopf, A. Sette, F. Ay, G. Seumois, C. Ottensmeier, P. Vijayanand

This study analyzes single-cell transcriptomes of SARS-CoV-2 reactive CD4+ T cells in COVID-19 patients, finding differences in cell types and gene expression between severe and mild disease.

bioRxiv · Jun 12, 2020Immunology