{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,21]],"date-time":"2026-10-21T12:45:15Z","timestamp":1792586715398,"version":"4.5.0"},"reference-count":15,"publisher":"MyJove Corporation","issue":"233","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["JoVE"],"DOI":"10.3791\/70870","type":"journal-article","created":{"date-parts":[[2026,7,31]],"date-time":"2026-07-31T23:01:35Z","timestamp":1785538895000},"source":"Crossref","is-referenced-by-count":1,"title":["Computational Protocol To Quantify Artesunate-Associated Transcriptomic Shifts In Experimental Cerebral Malaria Brain Tissue Using DESeq2"],"prefix":"10.3791","author":[{"given":"Oche Ambrose","family":"George","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Adedoyin","family":"Igunnu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Joshua Oluwatope","family":"Adebayo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"2098","published-online":{"date-parts":[[2026,7,31]]},"reference":[{"key":"ref1","doi-asserted-by":"crossref","first-page":"100","DOI":"10.3389\/fcimb.2014.00100","type":"journal-article","article-title":"Pathogenesis of cerebral malaria\u2014inflammation and cytoadherence","volume":"4","author":"Storm","year":"2014","unstructured":"Storm J, Craig AG. Pathogenesis of cerebral malaria\u2014inflammation and cytoadherence. Front Cell Infect Microbiol. 2014;4:100.","journal-title":"Front Cell Infect Microbiol"},{"issue":"2","key":"ref2","doi-asserted-by":"crossref","first-page":"775","DOI":"10.1016\/j.cirp.2013.05.011","type":"journal-article","article-title":"Modelling of ECM and EDM processes","volume":"62","author":"Hinduja","year":"2013","unstructured":"Hinduja S, Kunieda M. Modelling of ECM and EDM processes. CIRP Annals. 2013 Jan 1;62(2):775\u201397.","journal-title":"CIRP Annals"},{"key":"ref3","doi-asserted-by":"crossref","first-page":"1188902","DOI":"10.3389\/fitd.2023.1188902","type":"journal-article","article-title":"A high-fat diet protects C57BL\/6 mice from Plasmodium berghei ANKA infection in an experimental malaria study","volume":"4","author":"Soares","year":"2023","unstructured":"Soares SMA, Gualberto ACM, da Costa AC, Gon\u00e7alves DA, Gameiro J. A high-fat diet protects C57BL\/6 mice from Plasmodium berghei ANKA infection in an experimental malaria study. Front Trop Dis. 2023;4:1188902.","journal-title":"Front Trop Dis"},{"issue":"1","key":"ref4","doi-asserted-by":"crossref","first-page":"64","DOI":"10.1186\/s12936-024-04851-z","type":"journal-article","article-title":"Progress towards malaria elimination in the Greater Mekong Subregion: perspectives from the World Health Organization","volume":"23","author":"Manzoni","year":"2024","unstructured":"Manzoni G, Try R, Guintran JO, Christiansen-Jucht C, Jacoby E, Sovannaroth S, Zhang Z, Banouvong V, Shortus MS, Reyburn R, Chanthavisouk C. Progress towards malaria elimination in the Greater Mekong Subregion: perspectives from the World Health Organization. Malaria Journal. 2024 Mar 1;23(1):64.","journal-title":"Malaria Journal"},{"issue":"8","key":"ref5","doi-asserted-by":"crossref","first-page":"716","DOI":"10.1039\/D1MO00491C","type":"journal-article","article-title":"RNA-seq-based transcriptome analysis of the anti-inflammatory effect of artesunate in early treatment of a mouse cerebral malaria model","volume":"18","author":"Wang","year":"2022","unstructured":"Wang Q, Tang Y, Pan Z, Yuan Y, Zou Y, Zhang H, et al. RNA-seq-based transcriptome analysis of the anti-inflammatory effect of artesunate in early treatment of a mouse cerebral malaria model. Mol Omics. 2022;18(8):716\u201330.","journal-title":"Mol Omics"},{"issue":"12","key":"ref6","doi-asserted-by":"crossref","first-page":"550","DOI":"10.1186\/s13059-014-0550-8","type":"journal-article","article-title":"Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2","volume":"15","author":"Love","year":"2014","unstructured":"Love MI, Huber W, Anders S. Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2. Genome Biol. 2014;15(12):550.","journal-title":"Genome Biol"},{"issue":"10","key":"ref7","doi-asserted-by":"crossref","first-page":"R106","DOI":"10.1186\/gb-2010-11-10-r106","type":"journal-article","article-title":"Differential expression analysis for sequence count data","volume":"11","author":"Anders","year":"2010","unstructured":"Anders S, Huber W. Differential expression analysis for sequence count data. Genome Biol. 2010;11(10):R106.","journal-title":"Genome Biol"},{"issue":"1","key":"ref8","doi-asserted-by":"crossref","first-page":"139","DOI":"10.1093\/bioinformatics\/btp616","type":"journal-article","article-title":"edgeR: a Bioconductor package for differential expression analysis of digital gene expression data","volume":"26","author":"Robinson","year":"2010","unstructured":"Robinson MD, McCarthy DJ, Smyth GK. edgeR: a Bioconductor package for differential expression analysis of digital gene expression data. bioinformatics. 2010 Jan 1;26(1):139-40.","journal-title":"bioinformatics"},{"issue":"10","key":"ref9","doi-asserted-by":"crossref","first-page":"4288","DOI":"10.1093\/nar\/gks042","type":"journal-article","article-title":"Differential expression analysis of multifactor RNA-Seq experiments with respect to biological variation","volume":"40","author":"McCarthy","year":"2012","unstructured":"McCarthy DJ, Chen Y, Smyth GK. Differential expression analysis of multifactor RNA-Seq experiments with respect to biological variation. Nucleic Acids Res. 2012;40(10):4288\u201397.","journal-title":"Nucleic Acids Res"},{"key":"ref10","doi-asserted-by":"crossref","first-page":"13","DOI":"10.1186\/s13059-016-0881-8","type":"journal-article","article-title":"A survey of best practices for RNA-seq data analysis","volume":"17","author":"Conesa","year":"2016","unstructured":"Conesa A, Madrigal P, Tarazona S, Gomez-Cabrero D, Cervera A, McPherson A, et al. A survey of best practices for RNA-seq data analysis. Genome Biol. 2016;17:13.","journal-title":"Genome Biol"},{"issue":"5","key":"ref11","doi-asserted-by":"crossref","first-page":"284","DOI":"10.1089\/omi.2011.0118","type":"journal-article","article-title":"clusterProfiler: an R package for comparing biological themes among gene clusters","volume":"16","author":"Yu","year":"2012","unstructured":"Yu G, Wang LG, Han Y, He QY. clusterProfiler: an R package for comparing biological themes among gene clusters. OMICS. 2012;16(5):284\u20137.","journal-title":"OMICS"},{"issue":"1","key":"ref12","doi-asserted-by":"crossref","first-page":"7","DOI":"10.1186\/1471-2105-14-7","type":"journal-article","article-title":"GSVA: gene set variation analysis for microarray and RNA-seq data","volume":"14","author":"H\u00e4nzelmann","year":"2013","unstructured":"H\u00e4nzelmann S, Castelo R, Guinney J. GSVA: gene set variation analysis for microarray and RNA-seq data. BMC Bioinformatics. 2013 Jan 16;14(1):7.","journal-title":"BMC Bioinformatics"},{"issue":"5","key":"ref13","doi-asserted-by":"crossref","first-page":"571","DOI":"10.1016\/j.coi.2013.09.015","type":"journal-article","article-title":"Computational deconvolution: extracting cell type\u2013specific information from heterogeneous samples","volume":"25","author":"Shen-Orr","year":"2013","unstructured":"Shen-Orr SS, Gaujoux R. Computational deconvolution: extracting cell type\u2013specific information from heterogeneous samples. Curr Opin Immunol. 2013;25(5):571\u20138.","journal-title":"Curr Opin Immunol"},{"issue":"43","key":"ref14","doi-asserted-by":"crossref","first-page":"15545","DOI":"10.1073\/pnas.0506580102","type":"journal-article","article-title":"Gene set enrichment analysis: a knowledge-based approach for interpreting genome-wide expression profiles","volume":"102","author":"Subramanian","year":"2005","unstructured":"Subramanian A, Tamayo P, Mootha VK, Mukherjee S, Ebert BL, Gillette MA, et al. Gene set enrichment analysis: a knowledge-based approach for interpreting genome-wide expression profiles. Proc Natl Acad Sci U S A. 2005;102(43):15545\u201350.","journal-title":"Proc Natl Acad Sci U S A"},{"issue":"11","key":"ref15","doi-asserted-by":"crossref","first-page":"631","DOI":"10.1038\/s41576-019-0150-2","type":"journal-article","article-title":"RNA sequencing: the teenage years","volume":"20","author":"Stark","year":"2019","unstructured":"Stark R, Grzelak M, Hadfield J. RNA sequencing: the teenage years. Nat Rev Genet. 2019;20(11):631\u201356.","journal-title":"Nat Rev Genet"}],"container-title":["Journal of Visualized Experiments"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.jove.com\/t\/70870\/computational-protocol-to-quantify-artesunate-associated","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,10,21]],"date-time":"2026-10-21T12:15:54Z","timestamp":1792584954000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.jove.com\/t\/70870\/computational-protocol-to-quantify-artesunate-associated"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,7,31]]},"references-count":15,"journal-issue":{"issue":"233","published-online":{"date-parts":[[2026]]}},"URL":"https:\/\/doi.org\/10.3791\/70870","relation":{},"ISSN":["1940-087X"],"issn-type":[{"value":"1940-087X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,7,31]]}}}