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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71 to 80 of 446 Results
Dec 13, 2024
Wanjiku, Perpetual; Orindi, Benedict; Kimotho, John; Sayed, Shahin; Shah, Reena; Saleh Mansoor; Mwacharo, Jedidah; Maronga, Christopher; Oluoch, Vivian; Karanu, Ann; Shah, Jasmit; Nneka, Zaitun; Ochola-Oyier, Lynette Isabella; Abdi, Abdirahman I.; Dunachie, Susanna; Bejon, Philip; Nduati, Eunice; Ndungu, Francis M., 2024, "Replication Data for: Induction of an early IFN-γ cellular response and high plasma levels of SDF-1α are inversely associated with COVID-19 severity and residence in rural areas in Kenyan patients", https://doi.org/10.7910/DVN/XMTCTW, Harvard Dataverse, V1, UNF:6:JkMDcIXMDJ5GzzCjZ4ra3A== [fileUNF]
This is a replication dataset for the manuscript titled: "Induction of an early IFN-γ cellular response and high plasma levels of SDF-1α are inversely associated with COVID-19 severity and residence in rural areas in Kenyan patients" submitted to the PLOS One journal. The first dataset describes the baseline characteristics of the Kenyan COVID-19 p...
Tabular Data - 44.7 KB - 19 Variables, 400 Observations - UNF:6:hCrYukyBkznb7F/2G7z0Fw==
csv fileData
Patients baseline characteristics
R Syntax - 2.1 KB - MD5: 8a908530310e7d5c3670a8e5719abb70
CodeR script
contains statistical codes of analysis for creating Table 1. Participant demographic and clinical characteristics.
Unknown - 1.6 MB - MD5: 963315162a7f9fac8e6cb0e732e82018
CodeGraphPad prism file (.pfzx)
LISpot_dataanalysis- Contains statistical analysis for Elispot_data
Tabular Data - 240.8 KB - 173 Variables, 172 Observations - UNF:6:AGxC568zK4YC0AM8fKJEqw==
csv fileData
Contains IFNy secreting cell responses for a subset of 59 patients
Tabular Data - 84.5 KB - 34 Variables, 400 Observations - UNF:6:h1PkUwtuhJX1SUMLzi6hhg==
csv fileData
cytokines and chemokines concentrations
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