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An integrated analysis of human myeloid cells identifies gaps in in vitro models of in vivo biology

dc.contributor.authorRajab, Nadiaen
dc.contributor.authorAngel, Paul W.en
dc.contributor.authorDeng, Yidien
dc.contributor.authorGu, Jenniferen
dc.contributor.authorJameson, Vantaen
dc.contributor.authorKurowska-Stolarska, Mariolaen
dc.contributor.authorMilling, Simonen
dc.contributor.authorPacheco, Chris M.en
dc.contributor.authorRutar, Matten
dc.contributor.authorLaslett, Andrew L.en
dc.contributor.authorLê Cao, Kim Anhen
dc.contributor.authorChoi, Jarnyen
dc.contributor.authorWells, Christine A.en
dc.date.accessioned2025-03-26T19:22:57Z
dc.date.available2025-03-26T19:22:57Z
dc.date.issued2021-06-08en
dc.description.abstractThe Stemformatics myeloid atlas is an integrated transcriptome atlas of human macrophages and dendritic cells that systematically compares freshly isolated tissue-resident, cultured, and pluripotent stem cell–derived myeloid cells. Three classes of tissue-resident macrophage were identified: Kupffer cells and microglia; monocyte-associated; and tumor-associated macrophages. Culture had a major impact on all primary cell phenotypes. Pluripotent stem cell–derived macrophages were characterized by atypical expression of collagen and a highly efferocytotic phenotype. Myeloid subsets, and phenotypes associated with derivation, were reproducible across experimental series including data projected from single-cell studies, demonstrating that the atlas provides a robust reference for myeloid phenotypes. Implementation in Stemformatics.org allows users to visualize patterns of sample grouping or gene expression for user-selected conditions and supports temporary upload of your own microarray or RNA sequencing samples, including single-cell data, to benchmark against the atlas.en
dc.description.sponsorshipThe authors thank Tyrone Chen and Othmar Korn for assistance with data processing and Isha Nagpal for website development to support the Stemformatics interactive viewer. The authors thank Zahra Elahi for assistance in the annotation of samples. The authors thank Ramaciotti Center for Genomics (University of New South Wales; Sydney) and University of Glasgow Polyomics facility for mRNA sequencing, and the Melbourne Cytometry Platform for flow cytometry assistance. This work was funded by Stem Cells Australia , an Australian Research Council Special Research Initiative [ SRI110001002 ] to C.A.W.; NHMRC Synergy [ APP1186371 ] to C.A.W.; Wellcome Trust catalyst funding WELLCOME ( 097821/Z/11/B ) to C.A.W., S.M., M.K.S.; S.M. work was supported by the Research into Inflammatory Arthritis Center Versus Arthritis ( RACE ) [ #20298 ]; M.K.S. is funded by Versus Arthritis UK [ #20298 & #22072 ]. N.R. is funded by the Center for Stem Cell Systems and the CSIRO Synthetic Biology Future Science Platform . C.A.W. is funded by a Future Fellowship from the Australian Research Council [ FT150100330 ]. J.C. is funded by the JEM Research Foundation to the Stem Cell Atlas. The authors thank Tyrone Chen and Othmar Korn for assistance with data processing and Isha Nagpal for website development to support the Stemformatics interactive viewer. The authors thank Zahra Elahi for assistance in the annotation of samples. The authors thank Ramaciotti Center for Genomics (University of New South Wales; Sydney) and University of Glasgow Polyomics facility for mRNA sequencing, and the Melbourne Cytometry Platform for flow cytometry assistance. This work was funded by Stem Cells Australia, an Australian Research Council Special Research Initiative [SRI110001002] to C.A.W.; NHMRC Synergy [APP1186371] to C.A.W.; Wellcome Trust catalyst funding WELLCOME (097821/Z/11/B) to C.A.W. S.M. M.K.S.; S.M. work was supported by the Research into Inflammatory Arthritis Center Versus Arthritis (RACE) [#20298]; M.K.S. is funded by Versus Arthritis UK [#20298 & #22072]. N.R. is funded by the Center for Stem Cell Systems and the CSIRO Synthetic Biology Future Science Platform. C.A.W. is funded by a Future Fellowship from the Australian Research Council [FT150100330]. J.C. is funded by the JEM Research Foundation to the Stem Cell Atlas.en
dc.description.statustrueen
dc.format.extent15en
dc.identifier.otherScopus:85108020404en
dc.identifier.otherPubMed:33989517en
dc.identifier.urihttps://dspace-test.anu.edu.au/handle/1885/733740084
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=85108020404&partnerID=8YFLogxKen
dc.language.isoEnglishen
dc.rightsPublisher Copyright: © 2021 The Authorsen
dc.sourceStem Cell Reportsen
dc.subjectdendritic cellen
dc.subjecthematopoietic progenitoren
dc.subjectKupffer cellen
dc.subjectmacrophageen
dc.subjectmicrogliaen
dc.subjectmonocyteen
dc.subjectmonocyte-derived macrophageen
dc.subjectpluripotent stem cell–derived macrophageen
dc.subjecttissue-resident macrophageen
dc.subjecttranscriptomeen
dc.titleAn integrated analysis of human myeloid cells identifies gaps in in vitro models of in vivo biologyen
dc.typeArticleen
local.bibliographicCitation.lastpage1643en
local.bibliographicCitation.startpage1629en
local.contributor.affiliationRajab, Nadia; University of Melbourneen
local.contributor.affiliationAngel, Paul W.; University of Melbourneen
local.contributor.affiliationDeng, Yidi; University of Melbourneen
local.contributor.affiliationGu, Jennifer; University of Melbourneen
local.contributor.affiliationJameson, Vanta; University of Melbourneen
local.contributor.affiliationKurowska-Stolarska, Mariola; University of Glasgowen
local.contributor.affiliationMilling, Simon; University of Glasgowen
local.contributor.affiliationPacheco, Chris M.; University of Melbourneen
local.contributor.affiliationRutar, Matt; University of Melbourneen
local.contributor.affiliationLaslett, Andrew L.; CSIROen
local.contributor.affiliationLê Cao, Kim Anh; University of Melbourneen
local.contributor.affiliationChoi, Jarny; University of Melbourneen
local.contributor.affiliationWells, Christine A.; University of Melbourneen
local.identifier.citationvolume16en
local.identifier.doi10.1016/j.stemcr.2021.04.010en
local.identifier.pureb8534c06-e518-436c-9252-e0abdecf5becen
local.type.statusPublisheden

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