Author

C. J. Sande

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

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Organism:human· 2 Assay:proteomics· 2 Approach:experimental assay· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

A. Gwela· 1 shared C. A. Green· 1 shared D. J. Nokes· 1 shared E. Gicheru· 1 shared E. T. Gicheru· 1 shared J. M. Njunge· 1 shared J. M. Waeni· 1 shared J. Tuju· 1 shared

Activity by Year

2018-2020 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 20 mutual co-author links

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1 shared paperImmunology

A. Gwela

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2 papers

Recent·Most cited

In-silico immune cell deconvolution of the airway proteomes of infants with pneumonia reveals a link between reduced airway eosinophils and an increased risk of mortality

C. J. Sande, J. M. Waeni, J. M. Njunge, M. M. Mutunga, E. T. Gicheru, N. K. Kibinge, A. Gwela

This study uses proteomic data and machine learning to deconvolve immune cell phenotypes in infant pneumonia airway samples, finding reduced eosinophils correlate with increased mortality risk.

bioRxiv · Jan 19, 2020 · PreprintImmunology

Comprehensive profiling of antibodies against multiple infectious diseases in serum and the airway mucosa using synthetic peptide-based linear epitope microarrays

C. J. Sande, T. Chege, M. N. Mutunga, E. Gicheru, D. J. Nokes, C. A. Green, J. Tuju

The paper develops a synthetic peptide microarray to profile antibodies against 41 infectious diseases in serum and mucosal samples from infants, revealing antigen-specific antibody patterns and decay kinetics.

bioRxiv · Nov 5, 2018 · PreprintImmunology