The bioscience department focuses on the molecular biology, epidemiology and immunology of infectious diseases with particular emphasis on the development of vaccines and understanding the transmission of pathogens. We work on malaria, viral pathogens, HIV and bacterial disease, and provide strategic direction to the Laboratory Research Platform

Our work on malaria covers the three life-cycle stages; gametocytes (where we are developing a human challenge model to test transmission blocking immunity and profiling the transmitting population in the community and developing markers of infectiousness); blood stage (where we are identifying the merozoite and red cell surface targets of human immunity and examining the role of parasite exposure on host immunity using a systems immunology approach); and pre-erythrocytic stages where we are examining vaccine-induced immunity.

Field surveillance for acute HIV infection and monitoring of a cohort and collaboration with IAVI has facilitated interests in functional assays (specifically the viral inhibition assay) and on the impact of transmitted drug resistance in Kenya.

We are undertaking work on the genomics of malaria, viral pathogens and bacterial pathogens in order to determine what the source of infection is (i.e. “who infects whom”) in collaboration with the Epidemiology and Demography Department.

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1 to 10 of 446 Results
Jun 30, 2025
Mutheo, Agnetor; Bosire, Carren; Jeza, Victor; Githinji, George; Wambua, Sammy, 2025, "Replication Data for: Metagenomic exploration of antimicrobial resistance genes in marine bacteria ecosystem", https://doi.org/10.7910/DVN/I5KTMP, Harvard Dataverse, V3
This is a replication dataset for the manuscript titled: "Metagenomic exploration of antimicrobial resistance genes in marine bacteria ecosystem." This dataset includes the samples used in the analysis as well as the results from the analysis and the associated scripts for the article titled "Metagenomic exploration of antimicrobial resistance gene...
Shell Script - 1.6 KB - MD5: b9cf6cf1b0ae75f664263ef4bb4da148
Code
script showing the trimming steps and parameters
Jun 26, 2025
Kimotho, John; Mwikali, Kioko; Mudibo, Evans; Muthui, Michelle; Murungi, Linda; Muia, Alfred; Namwoso, Lynn; Kimani, Makobu; Orimbo, John; Ogutu, Benhards; Muema, Daniel; Ndung'u, Thumbi; Rono, Martin; Nduati, Eunice W., 2025, "Replication Data for: Lifelong malaria exposure drives B cell activation and post-transcriptional regulation while suppressing inflammatory transcriptional programs", https://doi.org/10.7910/DVN/CN5CEU, Harvard Dataverse, V2, UNF:6:AmHvRBwDgpMwE2GvldNKrg== [fileUNF]
This is a replication dataset for the manuscript titled: "Lifelong malaria exposure drives B cell activation and post-transcriptional regulation while suppressing inflammatory transcriptional programs ." This dataset was generated as part of a study investigating immunological signatures associated with lifelong malaria exposure among healthy adult...
Tabular Data - 8.4 KB - 23 Variables, 60 Observations - UNF:6:EwwwV1CiWzKU7tpW2Njy4w==
csv fileData
Participant's baseline characteristics
Tabular Data - 13.9 KB - 39 Variables, 60 Observations - UNF:6:9PPgLALHDqCvGQ4wqYxz9w==
csv fileData
Cytokine processed data
Tabular Data - 19.5 KB - 69 Variables, 76 Observations - UNF:6:L29rYTMGE39Xen3AhjC/Ag==
csv fileData
Cytokine raw data
MS Excel Spreadsheet - 256.9 KB - MD5: b7006882b8f94be0be22283e5be8cc6b
DocumentationVariable Codebook/Data Dictionary
Tabular Data - 10.3 MB - 62 Variables, 14576 Observations - UNF:6:x66s5OUuWzU9Tkcui9OIjw==
Data
Sequence data processed data/counts per million
Tabular Data - 9.0 MB - 61 Variables, 38378 Observations - UNF:6:l/JcUffs5TElOG+XRU3q5Q==
csv fileData
Sequence data raw RNA counts
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