Fluorescence-Based In Situ Quantitative Imaging for Cellular Lipids

2017 ◽  
pp. 19-33 ◽  
Author(s):  
W. Cho ◽  
Y. Yoon ◽  
S.-L. Liu ◽  
K. Baek ◽  
R. Sheng
Keyword(s):  
Quantitative Imaging ◽  
Cellular Lipids

scholarly journals In situ quantitative imaging of cellular lipids using molecular sensors

2011 ◽  
Vol 3 (11) ◽  
pp. 868-874 ◽  
Author(s):  
Youngdae Yoon ◽  
Park J. Lee ◽  
Svetlana Kurilova ◽  
Wonhwa Cho
Keyword(s):  
Quantitative Imaging ◽  
Molecular Sensors ◽  
Cellular Lipids

Direct quantitative imaging of the writing stage in a photosensitive azopolymer by digital holography

Soft Matter ◽  
2019 ◽  
Vol 15 (39) ◽  
pp. 7809-7813 ◽  
Author(s):  
V. Pagliarulo ◽  
A. Calabuig ◽  
S. Grilli ◽  
P. Ferraro
Keyword(s):  
Thin Films ◽  
Real Time ◽  
Surface Relief ◽  
Digital Holography ◽  
Light Exposure ◽  
Quantitative Imaging ◽  
Continuous Light ◽  
Full Field ◽  
Surface Relief Grating

In this paper, we demonstrated that the gradual formation of a surface relief grating (SRG) in azopolymer thin films under continuous light exposure could be directly observed in situ and in real-time, allowing full-field characterization.

scholarly journals Quantitative Imaging of Biochemistry in Situ and at the Nanoscale

2020 ◽  
Vol 6 (11) ◽  
pp. 1938-1954
Author(s):  
Yamuna Krishnan ◽  
Junyi Zou ◽  
Maulik S. Jani
Keyword(s):  
Quantitative Imaging

scholarly journals In Situ Quantitative Imaging of Single-Molecule Co-Immunoprecipitation

2012 ◽  
Vol 102 (3) ◽  
pp. 600a
Author(s):  
Hong-Won Lee ◽  
Janghyun Yoo ◽  
Taeyoon Kyung ◽  
Tackhoon Kim ◽  
Changbong Hyeon ◽  
...  
Keyword(s):  
Single Molecule ◽  
Quantitative Imaging

scholarly journals Nucleosome stability measured in situ by automated quantitative imaging

2017 ◽  
Vol 7 (1) ◽  
Author(s):  
László Imre ◽  
Zoltán Simándi ◽  
Attila Horváth ◽  
György Fenyőfalvi ◽  
Péter Nánási ◽  
...  
Keyword(s):  
Quantitative Imaging ◽  
Nucleosome Stability

scholarly journals Observations of bubbles in natural seep flares at MC 118 and GC 600 using in situ quantitative imaging

2016 ◽  
Vol 121 (4) ◽  
pp. 2203-2230 ◽  
Author(s):  
Binbin Wang ◽  
Scott A. Socolofsky ◽  
John A. Breier ◽  
Jeffrey S. Seewald
Keyword(s):  
Quantitative Imaging

scholarly journals Comprehensive histological imaging of native microbiota in human glioma

2021 ◽  
Author(s):  
Jiajia Zhao ◽  
Dian He ◽  
Hei Ming Lai ◽  
Yingying Xu ◽  
Yunhao Luo ◽  
...  
Keyword(s):  
Intercellular Space ◽  
Quantitative Imaging ◽  
Three Dimensional ◽  
Human Glioma ◽  
Microscopy Imaging ◽  
Nuclear Membranes ◽  
Tumor Tissues ◽  
Tumor Types ◽  
First Time

Abstract Mounting evidence suggests that distinct microbial communities reside in tumors and play important roles in tumor physiology. Recently, Nejman et al. profiled the composition and localization of intratumoral bacteria using 16S DNA sequencing and histological visualization methods across seven tumor types, including human glioblastoma. However, considering potential contamination in their sample origins and processing, the results based on traditional histological methods need to be validated. Here, we propose a three-dimensional (3D) intratumoral microbiota visualization and quantification protocol to observe microbiota in intact tumor tissues on the premise of avoiding possible contamination in the surface of tissues, based on tissue clearing, immunofluorescent labeling, microscopy imaging, and image processing. For the first time, we have achieved 3D quantitative imaging of bacterial LPS fluorescent signals deep in gliomas in a contamination-free manner, which was founded mostly localized near nuclear membranes or in the intercellular space. Through an automated statistical algorithm, reliable signals can be distinguished for further analysis of their sizes, distribution, and fluorescence intensities. Combining two-dimensional images from multiple thin-section histological methods, including immunochemistry and fluorescence in situ hybridization, we provide a comprehensive histological investigation of the morphology and distribution of these signals on human glioma samples. We expect that this multi-evidence chain will provide supporting proof for the presence of intratumoral bacteria in human glioma and that the integrated pipeline can be applied to investigate the native bacteria within diverse tumors and contribute to the interpretation of their direct roles in the tumor microenvironment.

scholarly journals In Situ Quantitative Imaging of Single-Molecule Co-Immunoprecipitation

2012 ◽  
Vol 102 (3) ◽  
pp. 180a
Author(s):  
Hong-Won Lee ◽  
Jang-Hyun Yoo ◽  
Byung-San Choi ◽  
Han-Ki Lee ◽  
Tae-Young Yoon
Keyword(s):  
Single Molecule ◽  
Quantitative Imaging

scholarly journals SOD1 activity thresholds and TOR signalling modulate VAP(P58S) aggregation via ROS-induced proteasomal degradation in a Drosophila model of Amyotrophic Lateral Sclerosis

2018 ◽  
Author(s):  
Kriti Chaplot ◽  
Lokesh Pimpale ◽  
Balaji Ramalingam ◽  
Senthilkumar Deivasigamani ◽  
Siddhesh S. Kamat ◽  
...  
Keyword(s):  
Amyotrophic Lateral Sclerosis ◽  
Regulatory Networks ◽  
Late Onset ◽  
Quantitative Imaging ◽  
Fluorescent Microscopy ◽  
Larval Brain ◽  
Kinetic Assay ◽  
Cellular Reactive Oxygen Species ◽  
Cellular Lipids ◽  
Lateral Sclerosis

AbstractFamilial Amyotrophic Lateral Sclerosis (F-ALS) is an incurable, late onset motor neuron disease, linked strongly to various causative genetic loci. ALS8 codes for a missense mutation, P56S, in VAMP-associated Protein B (VAPB) that causes the protein to misfold and form cellular aggregates. Uncovering genes and mechanisms that affect aggregation dynamics would greatly help increase our understanding of the disease and lead to potential therapeutics.Here, we develop a quantitative high-throughput, Drosophila S2R+ cell-based kinetic assay coupled with fluorescent microscopy to score for genes involved in the modulation of aggregates of fly ortholog, VAP(P58S), tagged with GFP. As proof of principle, we conducted a targeted RNAi screen against 900 genes, consisting of VAP genetic interactors, other ALS loci, as also genes involved in proteostasis. The screen identified 150 hits that modify aggregation, including the ALS loci SOD1, TDP43 and also genes belonging to the TOR pathway.To validate these modifiers, we developed a system to measure the extent of VAP(P58S) aggregation in the Drosophila third instar larval brain using the UAS-GAL4 system, followed by quantitative imaging of cellular inclusions. We find that reduction of SOD1 activity or decreased TOR signalling reduces aggregation. Interestingly, we find that increase in cellular reactive oxygen species (ROS) levels, assessed by measuring oxidation of cellular lipids and proteins, in response to SOD1 knockdown or by inhibition of TOR signalling appears to be the trigger for clearing of aggregates. The mechanism of aggregate clearance is, primarily, the proteasomal machinery, and not autophagy. Increase in VAP, but not VAP(P58S) levels, appears to elevate ROS, which may in turn regulate VAP transcription in a feedback loop.We have thus uncovered an interesting interplay between SOD1, ROS and TOR signalling that regulates the dynamics of VAP aggregation. Mechanistic processes underlying such cellular regulatory networks will lead us to a better understanding of initiation and progression of ALS.

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