Toward Controlled Photothermal Treatment of Single Cell: Optically Induced Heating and Remote Temperature Monitoring In Vitro through Double Wavelength Optical Tweezers

ACS Photonics ◽  
2017 ◽  
Vol 4 (8) ◽  
pp. 1993-2002 ◽  
Author(s):  
Sławomir Drobczyński ◽  
Katarzyna Prorok ◽  
Konstantin Tamarov ◽  
Kamila Duś-Szachniewicz ◽  
Vesa-Pekka Lehto ◽  
...  
2021 ◽  
pp. 113083
Author(s):  
Jessica S. Duprez ◽  
Michael Cohen ◽  
Stephen Li ◽  
Derek Wilson ◽  
Roger H. Brookes ◽  
...  
Keyword(s):  

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
David S. Fischer ◽  
Meshal Ansari ◽  
Karolin I. Wagner ◽  
Sebastian Jarosch ◽  
Yiqi Huang ◽  
...  

AbstractThe in vivo phenotypic profile of T cells reactive to severe acute respiratory syndrome (SARS)-CoV-2 antigens remains poorly understood. Conventional methods to detect antigen-reactive T cells require in vitro antigenic re-stimulation or highly individualized peptide-human leukocyte antigen (pHLA) multimers. Here, we use single-cell RNA sequencing to identify and profile SARS-CoV-2-reactive T cells from Coronavirus Disease 2019 (COVID-19) patients. To do so, we induce transcriptional shifts by antigenic stimulation in vitro and take advantage of natural T cell receptor (TCR) sequences of clonally expanded T cells as barcodes for ‘reverse phenotyping’. This allows identification of SARS-CoV-2-reactive TCRs and reveals phenotypic effects introduced by antigen-specific stimulation. We characterize transcriptional signatures of currently and previously activated SARS-CoV-2-reactive T cells, and show correspondence with phenotypes of T cells from the respiratory tract of patients with severe disease in the presence or absence of virus in independent cohorts. Reverse phenotyping is a powerful tool to provide an integrated insight into cellular states of SARS-CoV-2-reactive T cells across tissues and activation states.


2004 ◽  
Vol 24 (2) ◽  
pp. 71-76 ◽  
Author(s):  
Samuel Solomon ◽  
Madhan Masilamani ◽  
Subhasis Mohanty ◽  
J�rg E. Schwab ◽  
Eva-Maria Boneberg ◽  
...  

Lab on a Chip ◽  
2021 ◽  
Author(s):  
YUHAO QIANG ◽  
Jia Liu ◽  
Ming Dao ◽  
E Du

Red blood cells (RBCs) are subjected to recurrent changes in shear stress and oxygen tension during blood circulation. The cyclic shear stress has been identified as an important factor that...


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Karl Olofsson ◽  
Valentina Carannante ◽  
Madoka Takai ◽  
Björn Önfelt ◽  
Martin Wiklund

AbstractMulticellular tumor spheroids (MCTSs) can serve as in vitro models for solid tumors and have become widely used in basic cancer research and drug screening applications. The major challenges when studying MCTSs by optical microscopy are imaging and analysis due to light scattering within the 3-dimensional structure. Herein, we used an ultrasound-based MCTS culture platform, where A498 renal carcinoma MCTSs were cultured, DAPI stained, optically cleared and imaged, to connect nuclear segmentation to biological information at the single cell level. We show that DNA-content analysis can be used to classify the cell cycle state as a function of position within the MCTSs. We also used nuclear volumetric characterization to show that cells were more densely organized and perpendicularly aligned to the MCTS radius in MCTSs cultured for 96 h compared to 24 h. The method presented herein can in principle be used with any stochiometric DNA staining protocol and nuclear segmentation strategy. Since it is based on a single counter stain a large part of the fluorescence spectrum is free for other probes, allowing measurements that correlate cell cycle state and nuclear organization with e.g., protein expression or drug distribution within MCTSs.


2019 ◽  
Vol 1 (3) ◽  
Author(s):  
W. H. Campos ◽  
T. A. Moura ◽  
O. J. B. J. Marques ◽  
J. M. Fonseca ◽  
W. A. Moura-Melo ◽  
...  

2013 ◽  
Vol 58 (21) ◽  
pp. 2594-2600 ◽  
Author(s):  
HongFei Ma ◽  
Yong Zhang ◽  
AnPei Ye

2016 ◽  
Vol 61 (10) ◽  
pp. 1566-1571 ◽  
Author(s):  
A. S. Bukatin ◽  
I. S. Mukhin ◽  
E. I. Malyshev ◽  
I. V. Kukhtevich ◽  
A. A. Evstrapov ◽  
...  

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