Gülşah Sevimli

Ms. Gülşah Sevimli

Sabancı University, Istanbul, İstanbul, Turkey (Türkiye)
orcid

Research Focus & Metrics

Academic Career Length

6Years (2021-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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20 October 2021 in Free Radical Biology and Medicine
Verified
Journal Article
Closed access
Yusuf Ceyhun ErdoğanYusuf Ceyhun Erdoğan
Yusuf Ceyhun Erdoğan
HAHamza Yusuf Altun
Hamza Yusuf Altun
MSMelike Seçilmiş
Melike Seçilmiş
BABusra N. Ata
Busra N. Ata
GSGülşah Sevimli
Gülşah Sevimli
EEEmrah Eroglu
Emrah Eroglu

14 September 2021 in Biosensors
Verified
Journal Article
Open access
PDF file
MSMelike Seçilmiş
Melike Seçilmiş
HAHamza Yusuf Altun
Hamza Yusuf Altun
JPJohannes Pilic
Johannes Pilic
Yusuf Ceyhun ErdoğanYusuf Ceyhun Erdoğan
Yusuf Ceyhun Erdoğan
ZCZeynep Cokluk
Zeynep Cokluk
EEEmrah Eroglu
Emrah Eroglu
Multispectral live-cell imaging is an informative approach that permits detecting biological processes simultaneously in the spatial and temporal domain by exploiting spectrally distinct biosensors. However, the combination of fluorescent biosensors with distinct spectral properties such as different sensitivities, and dynamic ranges can undermine accurate co-imaging of the same analyte in different subcellular locales. We advanced a single-color multiparametric imaging method, which allows simultaneous detection of hydrogen peroxide (H2O2) in multiple cell locales (nucleus, cytosol, mitochondria) using the H2O2 biosensor HyPer7. Co-culturing of endothelial cells stably expressing differentially targeted HyPer7 biosensors paved the way for co-imaging compartmentalized H2O2 signals simultaneously in neighboring cells in a single experimental setup. We termed this approach COMPARE IT, which is an acronym for co-culture-based multiparametric imaging technique. Employing this approach, we detected lower H2O2 levels in mitochondria of endothelial cells compared to the cell nucleus and cytosol under basal conditions. Upon administering exogenous H2O2, the cytosolic and nuclear-targeted probes displayed similarly slow and moderate HyPer7 responses, whereas the mitochondria-targeted HyPer7 signal plateaued faster and reached higher amplitudes. Our results indicate striking differences in mitochondrial H2O2 accumulation of endothelial cells. Here, we present the method’s potential as a practicable and informative multiparametric live-cell imaging technique.

21 October 2022 in Biosensors
Verified
Journal Article
Open access
PDF file
GSGülşah Sevimli
Gülşah Sevimli
ABAmy Barton
Amy Barton
FFFelix Funk
Felix Funk
BFBeat Flühmann
Beat Flühmann
Roland MalliRoland Malli
Roland Malli
EEEmrah Eroglu
Emrah Eroglu
Cellular iron supply is required for various biochemical processes. Measuring bioavailable iron in cells aids in obtaining a better understanding of its biochemical activities but is technically challenging. Existing techniques have several constraints that make precise localization difficult, and the lack of a functional readout makes it unclear whether the tested labile iron is available for metalloproteins. Here, we use geNOps; a ferrous iron-dependent genetically encoded fluorescent nitric oxide (NO) biosensor, to measure available iron in cellular locales. We exploited the nitrosylation-dependent fluorescence quenching of geNOps as a direct readout for cellular iron absorption, distribution, and availability. Our findings show that, in addition to ferrous iron salts, the complex of iron (III) with N,N’-bis (2-hydroxybenzyl)ethylenediamine-N,N’-diacetic acid (HBED) can activate the iron (II)-dependent NO probe within intact cells. Cell treatment for only 20 min with iron sucrose was also sufficient to activate the biosensor in the cytosol and mitochondria significantly; however, ferric carboxymaltose failed to functionalize the probe, even after 2 h of cell treatment. Our findings show that the geNOps approach detects available iron (II) in cultured cells and can be applied to assay functional iron (II) at the (sub)cellular level.