Chip-based sensing for release of unprocessed cell surface proteins in vitro and in serum and its (patho)physiological relevance.
Am. J. Physiol. Endocrinol. Metab. 317, https://doi.org/ 10.6084/m9.figshare.7994312.v1, E212-E233 (2019)
To study the possibility that certain components of eukaryotic plasma membranes are released under certain (patho)physiological conditions, a chip-based sensor was developed for the detection of cell surface proteins, which are anchored at the outer leaflet of eukaryotic plasma membranes by a covalently attached glycolipid, exclusively, and might be prone to spontaneous or regulated release on the basis of their amphiphilic character. For this, unprocessed, full-length glycosylphosphatidylinositol-anchored proteins (GPI-AP), together with associated phospholipids, were specifically captured and detected by a chip- and microfluidic channel-based sensor, leading to changes in phase and amplitude of surface acoustic waves (SAW) propagating over the chip surface. Unprocessed GPI-AP in complex with lipids were found to be released from rat adipocyte plasma membranes immobilized on the chip, which was dependent on the flow rate and composition of the buffer stream. The complexes were identified in the incubation medium of primary rat adipocytes, in correlation to the cell size, and in rat as well as human serum. With rats, the measured changes in SAW phase shift, reflecting specific mass/size or amount of the unprocessed GPI-AP in complex with lipids, and SAW amplitude, reflecting their viscoelasticity, enabled the differentiation between the lean and obese (high-fat diet) state, and the normal (Wistar) and hyperinsulinemic (Zucker fatty) as well as hyperinsulinemic hyperglycemic (Zucker diabetic fatty) state. Thus chip-based sensing for complexes of unprocessed GPI-AP and lipids reveals the inherently labile anchorage of GPI-AP at plasma membranes and their susceptibility for release in response to (intrinsic/extrinsic) cues of metabolic relevance and may, therefore, be useful for monitoring of (pre-)diabetic disease states.
Impact Factor
Scopus SNIP
Web of Science
Times Cited
Scopus
Cited By
Altmetric
Publikationstyp
Artikel: Journalartikel
Dokumenttyp
Wissenschaftlicher Artikel
Typ der Hochschulschrift
Herausgeber
Schlagwörter
Adipocytes ; Biosensor ; Diabetes ; Glycolipid-anchored Cell Surface Proteins ; Metabolic Stress ; Obesity; Gpi-anchored Proteins; Acoustic-wave; Lipid Rafts; Phospholipase-c; Binding; Model; Acetylcholinesterase; Phosphoinositolglycans; Biomarkers; Complex
Keywords plus
Sprache
englisch
Veröffentlichungsjahr
2019
Prepublished im Jahr
HGF-Berichtsjahr
2019
ISSN (print) / ISBN
0193-1849
e-ISSN
1522-1555
ISBN
Bandtitel
Konferenztitel
Konferzenzdatum
Konferenzort
Konferenzband
Quellenangaben
Band: 317,
Heft: 2,
Seiten: E212-E233,
Artikelnummer: ,
Supplement: https://doi.org/ 10.6084/m9.figshare.7994312.v1
Reihe
Verlag
American Physiological Society
Verlagsort
9650 Rockville Pike, Bethesda, Md 20814 Usa
Tag d. mündl. Prüfung
0000-00-00
Betreuer
Gutachter
Prüfer
Topic
Hochschule
Hochschulort
Fakultät
Veröffentlichungsdatum
0000-00-00
Anmeldedatum
0000-00-00
Anmelder/Inhaber
weitere Inhaber
Anmeldeland
Priorität
Begutachtungsstatus
Peer reviewed
POF Topic(s)
30201 - Metabolic Health
90000 - German Center for Diabetes Research
Forschungsfeld(er)
Helmholtz Diabetes Center
Genetics and Epidemiology
PSP-Element(e)
G-502200-001
G-501900-221
G-521500-002
Förderungen
Copyright
Erfassungsdatum
2019-05-13