Author

C. Chambers

Seattle Children's Research Institute

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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Animal Behavior & Cognition· 1 Immunology· 1 Molecular Biology· 1

Signature Assays, Organisms & Methods

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Organism:human· 3 Research Focus:cell type annotation· 2 Approach:experimental assay· 2 Approach:deep learning· 1 Assay:flow cytometry· 1 Assay:fluorescence / live-cell microscopy· 1 Assay:imaging· 1 Organism:mouse· 1

Frequent Co-Authors

A. Jaquish· 1 shared A. R. Munoz-Rojas· 1 shared Abbi L. EngeliD· 1 shared Andrea FrassettoiD· 1 shared C. Benoist· 1 shared D. Bogen· 1 shared D. Mathis· 1 shared D. Ramanan· 1 shared

Activity by Year

2019-2024 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 22 mutual co-author links

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1 shared paperImmunology

A. Jaquish

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Expansion of mammary intraepithelial lymphocytes and intestinal inputs shape T cell dynamics in lactogenesis

A. Jaquish, E. Phung, X. Gong, P. Baldominos, S. Galvan-Pena, I. Bursulaya, I. Magill, E. Marina, ImmgenT consortium, K. Bertrand, C. Chambers, A. R. Munoz-Rojas, J. Agudo, D. Mathis, C. Benoist, D. Ramanan

The paper examines T cell changes in mammary glands during pregnancy and lactation, finding an expansion of T effector cells and similarities to intestinal T cells.

bioRxiv · Jul 9, 2024 · PreprintImmunology

Lipid nanoparticle-mediated delivery of mRNA into the mouse and human retina and other ocular tissues.

C. Chambers, Gillian L. Soo, Abbi L. Engel, Ian A. Glass, Andrea Frassetto, Paolo G.V. Martini, Timothy J. Cherry

This paper demonstrates reliable mRNA delivery via lipid nanoparticles to specific retinal cells in mice and human ocular tissues without significant inflammation.

Translational Vision Science & Technology · Jul 9, 2024Peer-reviewedMolecular Biology

Computer vision to automatically assess infant neuromotor risk

C. Chambers, N. Seethapathi, R. Saluja, H. Loeb, S. Pierce, D. Bogen, L. Prosser, M. J. Johnson, K. P. Kording

This paper develops a computer vision method to assess infant neuromotor risk using video recordings and Bayesian Surprise calculations, showing that at-risk infants deviate more from healthy controls.

bioRxiv · Sep 10, 2019Animal Behavior & Cognition