corDyanamicsPathoData.xlsx (1.94 MB)

Longitudinal dynamics of a blood transcriptomic signature of tuberculosis

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posted on 05.08.2021, 14:37 by Humphrey MulengaHumphrey Mulenga, Munyaradzi MusvosviMunyaradzi Musvosvi, Simon MendelsohnSimon Mendelsohn, Adam Penn-Nicholson, Stanley KimbungStanley Kimbung, Andrew Fiore-GartlandAndrew Fiore-Gartland, Michèle Tameris, Simbarashe Mabwe, Hadn Africa, Nicole Bilek, Fazlin Kafaar, Shabaana Khader, Balie Carstens, Kate Hadley, Chris Hikuam, Mzwandile Erasmus, Lungisa Jaxa, Rodney Raphela, Onke Nombida, Masooda Kaskar, Mark P. Nicol, Slindile Mbhele, Judi Van Heerden, Craig Innes, William Brumskine, Andriëtte Hiemstra, Stephanus T. Malherbe, Razia Hassan-Moosa, Gerhard Walzl, Kogieleum Naidoo, Gavin Churchyard, Mark Hatherill, Thomas ScribaThomas Scriba
Provided herewith are the probe-level Ct values of 48 assays in the RISK11 transcriptomics signature of TB disease risk and a worksheet for computing RISK11 signature score directly from the Ct values. The expression level for each of the genes or transcripts were obtained by RT-qPCR performed on mRNA prepared from whole blood collected in PAXgene tubes from the CORTIS-01 and CORTIS-HR trials.

Funding

Bill & Melinda Gates Foundation (OPP1116632, OPP1137034, OPP1151915)

Strategic Health Innovation Partnerships (SHIP) Unit of the South African Medical Research Council with funds received from the South African Department of Science and Technology

National Institutes of Health (AI123780)

Longitudinal assays were funded by the South African Medical Research Council and CRDF Global (OISE-16-62054-1) through Regional Prospective Observational Research for Tuberculosis (RePORT) South Africa

History

Department/Unit

Department of Pathology