Transcriptional Profiles Analysis of COVID-19 and Malaria Patients Reveals Potential Biomarkers in Children.

Lambert, Nzungize; Kengne-Ouafo, Jonas A; Rissy, Wesonga Makokha; Diane, Umuhoza; Murithi, Ken; Kimani, Peter; Awe, Olaitan I; Dillman, Allissa

Lambert, Nzungize; Kengne-Ouafo, Jonas A; Rissy, Wesonga Makokha; Diane, Umuhoza; Murithi, Ken; Kimani, Peter; Awe, Olaitan I; Dillman, Allissa.

Afiliação

Lambert N; Liverpool School of Tropical Medicine Research Unit, Centre for Research in Infectious Diseases (CRID), P.O. Box 13591, Cameroon.
Kengne-Ouafo JA; Synthetic Biology and Omics Data Center, SynbioRwanda, Rwanda.
Rissy WM; Liverpool School of Tropical Medicine Research Unit, Centre for Research in Infectious Diseases (CRID), P.O. Box 13591, Cameroon.
Diane U; African Institute of biomedical science and technology (AiBST), Wilkins Hospital, Block C, Corner J. Tongogara and R. Zimbabwe.
Murithi K; Chinhoyi University of Technology (CUT), P.BAG 7724, Zimbabwe.
Kimani P; University of Rwanda, Department of Biology, Rwanda.
Awe OI; International Centre of Insect Physiology and Ecology (ICIPE) P.O. Box 30772-00100, Kenya.
Dillman A; International Centre of Insect Physiology and Ecology (ICIPE) P.O. Box 30772-00100, Kenya.

bioRxiv ; 2022 Dec 20.

Article em En | MEDLINE | ID: mdl-35794887

Palavras-chave

COVID-19; Malaria; RNA seq; biomarker; children; gene expression; lncRNA

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: BioRxiv Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Camarões

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