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VERSION:2.0
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SUMMARY:BioE COLLOQUIA SERIES: "Subcellular Electrophysiology as a Phenoty
 pe for Biological Function and Disease" - via web streaming only (Covid-19
  situation)
DTSTART:20200504T150000
DTEND:20200504T160000
DTSTAMP:20260405T191536Z
UID:426cc6eefa5668c3818153d25711670df34e61ac534be844ade39349
CATEGORIES:Conferences - Seminars
DESCRIPTION:Prof. Nathan S. Swami\, University of Virginia\, Charlottesvil
 le\, VA (USA)\nWEEKLY BIOENGINEERING COLLOQUIA SERIES\n\n\nAbstract:\nCell
 ular heterogeneity due to subtle phenotypic differences are difficult to d
 etect\, but can have far reaching consequences for biological function\, d
 isease onset and efficacy of therapeutic interventions. Flow cytometry is 
 widely used to characterize cell phenotype\, but its inability to consiste
 ntly define surface markers for certain stem cells\, tumor cells and patho
 genic microbials has led to the search for alternate phenotypic metrics. O
 ur research group is focused on cell electrophysiology as a label-free cel
 l phenotypic metric that aggregates its biophysical properties due to inhe
 rent and micro-environmental factors. Through frequency-resolved measureme
 nts\, we use this electrical phenotype to quantify whole-cell characterist
 ics\, such as size and shape at sub-MHz\, as well as to subcellular charac
 teristics that can be measured at successively higher frequencies\, includ
 ing the plasma membrane structure\, cytoplasmic composition\, nucleus size
 \, osmotic swelling and organelle structure. Through coupling microfluidic
  separation by selective translation of polarized cells under a non-unifor
 m electric field to high-throughput single-cell measurement of cell impeda
 nce under a uniform electric field\, we seek to analyze the role for subce
 llular electrophysiology in quantifying heterogeneity to predict biologica
 l function and stratify disease states. Specific examples will include: (1
 ) stratifying pancreatic tumorigenicity (Anal. Chim. Acta (2020) 1101\, 90
 -98\; Anal Chem (2017) 89\, 5757-5764) (2) predicting fate potential of he
 terogeneous stem cell samples (unpublished)\; (3) predicting susceptibilit
 y of microbiota to clostrodial infections (ACS Infectious Diseases (2020) 
 and (2016) 2\, 544-551)\; (4) stratifying exosomal biomarkers to probe can
 cer metastasis (Anal Chem (2019) 91\, 10424-10431)\; (5) enrichment of mol
 ecular biomarkers versus interfering species (Nanoscale (2017) 9\, 12124-1
 2131\; Lab Chip (2015) 15\, 4563-4570).\n\nBio:\nNathan Swami serves as Pr
 ofessor of Electrical & Computer Engineering at the University of Virginia
 . His group is focused on label-free microfluidics\, based on the deformab
 ility and impedance characteristics of cellular aggregates\, cells\, micro
 bials\, and nanoscale biomarkers for the enabling their selective enrichme
 nt. Some of the chief enablers in his group include imprint lithography fo
 r biofabrication\, as well as for devices for label-free electrophysiology
  and deformability-based sorting and cytometry of biosystems. Prior to Uni
 versity of Virginia\, he served on the scientific staff of the MEMS group 
 at Motorola Labs and at Clinical Microsensors\, Inc.\, a Caltech start-up.
  His research seeks to impact in vitro disease models\, as well as detecti
 on systems within point-of-care and resource-poor settings for precision m
 edicine approaches. (https://engineering.virginia.edu/faculty/nathan-swami
 ).\n\n\nZoom link for attending remotely: https://epfl.zoom.us/j/989817445
 42\n\nIMPORTANT NOTICE: this seminar can be followed via Zoom web-streamin
 g only (link above)\, due to restrictions resulting from the ongoing Covid
 -19 situation.
LOCATION:via Zoom web-streaming only\, due to Covid-19 situation https://e
 pfl.zoom.us/j/98981744542
STATUS:CONFIRMED
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