Author

Michael J.T. Stubbington

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

Click to filter author papers

Bioinformatics· 1 Immunology· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:cell type annotation· 2 Approach:deep learning· 2 Research Focus:differential expression· 2 Research Focus:gene regulatory network inference· 2 Assay:scRNA-seq· 2 Approach:statistical model· 2 Research Focus:clustering· 1 Organism:mouse· 1

Frequent Co-Authors

Ana CvejiciD· 1 shared Anneliese O. SpeakiD· 1 shared David Gfeller· 1 shared Gordon Dougan· 1 shared Iain C Macaulay· 1 shared Lauren Ferreira· 1 shared Santiago J Carmona· 1 shared Sarah A Teichmann· 1 shared

Activity by Year

2016-2017 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

1 shared paperImmunology

Ana CvejicORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

ImmunologyGenome ResearchPeer-reviewedJan 13, 2017

Single-cell transcriptome analysis of fish immune cells provides insight into the evolution of vertebrate immunity

Santiago J Carmona, Sarah A Teichmann, Lauren Ferreira…·David Gfeller

The paper analyzes immune cell transcriptomes across vertebrates to reveal evolutionary patterns in gene conservation and turnover, finding higher gene turnover in NK cells compared to T cells.

DOI 10.1101/gr.207704.116

zebrafishscRNA-seq

BioinformaticsNature MethodsPeer-reviewedMar 7, 2016

Simultaneously inferring T cell fate and clonality from single cell transcriptomes

Michael J.T. Stubbington, Tapio Lönnberg, Valentina Proserpio…·Sarah A. Teichmann

This paper introduces TraCeR, a method to infer full-length TCR sequences from single-cell RNA-seq, revealing clonal relationships and linking them to T cell functional states in Salmonella infection.

DOI 10.1038/nmeth.3800

mousescRNA-seq