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Exploring inflammat...
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Carlberg, KonstantinKTH,Genteknologi,Science for Life Laboratory, SciLifeLab
(författare)
Exploring inflammatory signatures in arthritic joint biopsies with Spatial Transcriptomics
- Artikel/kapitelEngelska2019
Förlag, utgivningsår, omfång ...
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2019-12-12
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NATURE PUBLISHING GROUP,2019
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printrdacarrier
Nummerbeteckningar
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LIBRIS-ID:oai:DiVA.org:kth-266415
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https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-266415URI
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https://doi.org/10.1038/s41598-019-55441-yDOI
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http://kipublications.ki.se/Default.aspx?queryparsed=id:142501371URI
Kompletterande språkuppgifter
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Språk:engelska
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Sammanfattning på:engelska
Ingår i deldatabas
Klassifikation
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Ämneskategori:ref swepub-contenttype
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Ämneskategori:art swepub-publicationtype
Anmärkningar
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QC 20200322
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Lately it has become possible to analyze transcriptomic profiles in tissue sections with retained cellular context. We aimed to explore synovial biopsies from rheumatoid arthritis (RA) and spondyloarthritis (SpA) patients, using Spatial Transcriptomics (ST) as a proof of principle approach for unbiased mRNA studies at the site of inflammation in these chronic inflammatory diseases. Synovial tissue biopsies from affected joints were studied with ST. The transcriptome data was subjected to differential gene expression analysis (DEA), pathway analysis, immune cell type identification using Xcell analysis and validation with immunohistochemistry (IHC). The ST technology allows selective analyses on areas of interest, thus we analyzed morphologically distinct areas of mononuclear cell infiltrates. The top differentially expressed genes revealed an adaptive immune response profile and T-B cell interactions in RA, while in SpA, the profiles implicate functions associated with tissue repair. With spatially resolved gene expression data, overlaid on high-resolution histological images, we digitally portrayed pre-selected cell types in silico. The RA displayed an overrepresentation of central memory T cells, while in SpA effector memory T cells were most prominent. Consequently, ST allows for deeper understanding of cellular mechanisms and diversity in tissues from chronic inflammatory diseases.
Ämnesord och genrebeteckningar
Biuppslag (personer, institutioner, konferenser, titlar ...)
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Korotkova, MarinaKarolinska Institutet
(författare)
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Larsson, LudvigKTH,Genteknologi,Science for Life Laboratory, SciLifeLab(Swepub:kth)u13lw4hm
(författare)
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Catrina, Anca, IKarolinska Institutet
(författare)
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Ståhl, Patrik,Dr.KTH,Science for Life Laboratory, SciLifeLab,Genteknologi,Royal Inst Technol, Dept Gene Technol, Sci Life Lab, Stockholm, Sweden.(Swepub:kth)u1rstx38
(författare)
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Malmström, VivianneKarolinska Institutet(Swepub:kth)u19ev7g4
(författare)
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KTHGenteknologi
(creator_code:org_t)
Sammanhörande titlar
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Ingår i:Scientific Reports: NATURE PUBLISHING GROUP92045-2322
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