George J Lu

Dr. George J Lu

orcid

Research Focus & Metrics

Academic Career Length

20Years (2007-Present)

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

Representative Publications

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7 June 2018 in Annual Review of Chemical and Biomolecular Engineering
Verified
Journal Article
Closed access
DMDavid Maresca
David Maresca
ALAnupama Lakshmanan
Anupama Lakshmanan
MAMohamad Abedi
Mohamad Abedi
ABAvinoam Bar-Zion
Avinoam Bar-Zion
AFArash Farhadi
Arash Farhadi
MSMikhail G. Shapiro
Mikhail G. Shapiro
Visualizing and modulating molecular and cellular processes occurring deep within living organisms is fundamental to our study of basic biology and disease. Currently, the most sophisticated tools available to dynamically monitor and control cellular events rely on light-responsive proteins, which are difficult to use outside of optically transparent model systems, cultured cells, or surgically accessed regions owing to strong scattering of light by biological tissue. In contrast, ultrasound is a widely used medical imaging and therapeutic modality that enables the observation and perturbation of internal anatomy and physiology but has historically had limited ability to monitor and control specific cellular processes. Recent advances are beginning to address this limitation through the development of biomolecular tools that allow ultrasound to connect directly to cellular functions such as gene expression. Driven by the discovery and engineering of new contrast agents, reporter genes, and bioswitches, the nascent field of biomolecular ultrasound carries a wave of exciting opportunities.

7 September 2017 in Nature Protocols
Verified
Journal Article
Closed access
PDF file
ALAnupama Lakshmanan
Anupama Lakshmanan
GLGeorge J Lu
George J Lu
AFArash Farhadi
Arash Farhadi
SNSuchita P Nety
Suchita P Nety
MKMartin Kunth
Martin Kunth
MSMikhail G Shapiro
Mikhail G Shapiro

6 October 2016 in Chemistry – A European Journal
Verified
Journal Article
Closed access
PDF file
DBDanila Barskiy
Danila Barskiy
ACAaron M. Coffey
Aaron M. Coffey
PNPanayiotis Nikolaou
Panayiotis Nikolaou
DMDmitry M. Mikhaylov
Dmitry M. Mikhaylov
BGBoyd M. Goodson
Boyd M. Goodson
ECEduard Y Chekmenev
Eduard Y Chekmenev

26 February 2018 in Nature Materials
Verified
Journal Article
Closed access
PDF file
GLGeorge J Lu
George J Lu
AFArash Farhadi
Arash Farhadi
JSJerzy O. Szablowski
Jerzy O. Szablowski
ALAudrey Lee-Gosselin
Audrey Lee-Gosselin
SBSamuel R. Barnes
Samuel R. Barnes
MSMikhail G. Shapiro
Mikhail G. Shapiro

4 January 2012 in Journal of the American Chemical Society
Verified
Journal Article
Closed access
BDBibhuti B. Das
Bibhuti B. Das
HNHenry J. Nothnagel
Henry J. Nothnagel
GLGeorge J Lu
George J Lu
WSWoo Sung Son
Woo Sung Son
YTYe Tian
Ye Tian
SOStanley Opella
Stanley Opella

10 July 2017 in ACS Nano
Verified
Journal Article
Open access
AMAdam M. Maley
Adam M. Maley
GLGeorge J Lu
George J Lu
MSMikhail G. Shapiro
Mikhail G. Shapiro
RCRobert M. Corn
Robert M. Corn
Near-infrared surface plasmon resonance imaging (SPRI) microscopy is used to detect and characterize the adsorption of single polymeric and protein nanoparticles (PPNPs) onto chemically modified gold thin films in real time. The single-nanoparticle SPRI responses, Δ%RNP, from several hundred adsorbed nanoparticles are collected in a single SPRI adsorption measurement. Analysis of Δ%RNP frequency distribution histograms is used to provide information on the size, material content, and interparticle interactions of the PPNPs. Examples include the measurement of log-normal Δ%RNP distributions for mixtures of polystyrene nanoparticles, the quantitation of bioaffinity uptake into and aggregation of porous NIPAm-based (N-isopropylacrylamide) hydrogel nanoparticles specifically engineered to bind peptides and proteins, and the characterization of the negative single-nanoparticle SPRI response and log-normal Δ%RNP distributions obtained for three different types of genetically encoded gas-filled protein nanostructures derived from bacteria.