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Toepfner, N.* ; Herold, C.* ; Otto, O.* ; Rosendahl, P.* ; Jacobi, A.* ; Kraeter, M.* ; Staechele, J.* ; Menschner, L.* ; Herbig, M.* ; Ciuffreda, L.* ; Ford-Cartwright, L.* ; Grzybek, M. ; Coskun, Ü. ; Reithuber, E.* ; Garriss, G.* ; Mellroth, P.* ; Henriques-Normark, B.* ; Tregay, N.* ; Suttorp, M.* ; Bornhaeuser, M.* ; Chilvers, E.R.* ; Berner, R.* ; Guck, J.*

Detection of human disease conditions by single-cell morpho-rheological phenotyping of blood.

eLife 7:e29213 (2018)
Verlagsversion Forschungsdaten DOI PMC
Open Access Gold
Creative Commons Lizenzvertrag
Blood is arguably the most important bodily fluid and its analysis provides crucial health status information. A first routine measure to narrow down diagnosis in clinical practice is the differential blood count, determining the frequency of all major blood cells. What is lacking to advance initial blood diagnostics is an unbiased and quick functional assessment of blood that can narrow down the diagnosis and generate specific hypotheses. To address this need, we introduce the continuous, cell-by-cell morpho-rheological (MORE) analysis of diluted whole blood, without labeling, enrichment or separation, at rates of 1000 cells/sec. In a drop of blood we can identify all major blood cells and characterize their pathological changes in several disease conditions in vitro and in patient samples. This approach takes previous results of mechanical studies on specifically isolated blood cells to the level of application directly in blood and adds a functional dimension to conventional blood analysis.
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Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Schlagwörter Acute Lymphoblastic-leukemia; Plasmodium-falciparum; Mechanical-properties; Deformability; Cytometry; Stiffness; Culture; Microcirculation; Synchronization; Palmitoylation
Sprache englisch
Veröffentlichungsjahr 2018
HGF-Berichtsjahr 2018
ISSN (print) / ISBN 2050-084X
e-ISSN 2050-084X
Zeitschrift eLife
Quellenangaben Band: 7, Heft: , Seiten: , Artikelnummer: e29213 Supplement: ,
Verlag eLife Sciences Publications
Verlagsort Cambridge
Begutachtungsstatus Peer reviewed
Institut(e) Institute of Pancreatic Islet Research (IPI)
POF Topic(s) 90000 - German Center for Diabetes Research
Forschungsfeld(er) Helmholtz Diabetes Center
PSP-Element(e) G-502600-002
Scopus ID 85042112938
PubMed ID 29331015
Erfassungsdatum 2018-03-02