Author

J. Tuddenham

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

Immunology· 1 Pathology· 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 Organism:human· 2 Approach:statistical model· 2 Research Focus:clustering· 1 Research Focus:gene regulatory network inference· 1 Assay:scRNA-seq· 1

Frequent Co-Authors

V. Menon· 2 shared A. Dovas· 1 shared A. Kannan· 1 shared A. Lassman· 1 shared A. Mahajan· 1 shared a. r. goldberg· 1 shared A. Save· 1 shared B. J. A. Gill· 1 shared

Activity by Year

2021-2021 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 37 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

2 shared papersImmunology

V. Menon

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

Defining the architecture of cerebrospinal fluid cellular communities in neuroinflammatory diseases

T. Roostaei, C. Diaconu, H. Touil, C. Harbison, Y. Zhang, S. Epstein, J. Tuddenham, K. Thakur, J. Bryois, H. Wiendl, G. Meyer zu Hörste, D. Malhotra, C. Riley, V. Menon, P. L. De Jager

This study uses scRNA-seq to define immune cell communities in CSF of MS and other neuroinflammatory diseases, identifying changes in cell types and potential therapeutic targets.

bioRxiv · Nov 1, 2021 · PreprintImmunology

Re-convolving the compositional landscape of primary and recurrent glioblastoma reveals prognostic andtargetable tissue states

O. Al-Dalahmah, M. Argenziano, A. Kannan, A. Mahajan, J. Furnari, F. Paryani, D. Boyett, A. Save, N. Humala, F. Khan, J. Li, H. Lu, Y. Sun, J. Tuddenham, a. r. goldberg, , P. Canoll

The paper identifies three tissue states in glioblastoma microenvironments using snRNAseq and spatial transcriptomics, linking them to metabolic pathways and clinical outcomes.

bioRxiv · Jul 6, 2021Pathology