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Journal articles on the topic 'Single live cell imaging'

Author: Grafiati

Published: 4 June 2021

Last updated: 12 February 2022

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1

YANG, Sora, Dong-Kyun KIM, and Nam Ki LEE. "Single-molecule Fluorescence Live-cell Imaging." Physics and High Technology 22, no. 11 (2013): 28. http://dx.doi.org/10.3938/phit.22.052.

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2

Mullassery, Dhanya, Caroline A. Horton, Christopher D. Wood, and Michael R. H. White. "Single live-cell imaging for systems biology 9." Essays in Biochemistry 45 (September 30, 2008): 121–34. http://dx.doi.org/10.1042/bse0450121.

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Understanding how mammalian cells function requires a dynamic perspective. However, owing to the complexity of signalling networks, these non-linear systems can easily elude human intuition. The central aim of systems biology is to improve our understanding of the temporal complexity of cell signalling pathways, using a combination of experimental and computational approaches. Live-cell imaging and computational modelling are compatible techniques which allow quantitative analysis of cell signalling pathway dynamics. Non-invasive imaging techniques, based on the use of various luciferases and

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3

Mashanov, G. I., T. A. Nenasheva, M. Peckham, and J. E. Molloy. "Cell biochemistry studied by single-molecule imaging." Biochemical Society Transactions 34, no. 5 (2006): 983–88. http://dx.doi.org/10.1042/bst0340983.

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Over the last decade, there have been remarkable developments in live-cell imaging. We can now readily observe individual protein molecules within living cells and this should contribute to a systems level understanding of biological pathways. Direct observation of single fluorophores enables several types of molecular information to be gathered. Temporal and spatial trajectories enable diffusion constants and binding kinetics to be deduced, while analyses of fluorescence lifetime, intensity, polarization or spectra give chemical and conformational information about molecules in their cellular

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4

Filice, Fraser P., Michelle S. M. Li, and Zhifeng Ding. "Single Live Cell Imaging: Simulation Assisted Nanoscale Imaging of Single Live Cells with Scanning Electrochemical Microscopy (Adv. Theory Simul. 2/2019)." Advanced Theory and Simulations 2, no. 2 (2019): 1970005. http://dx.doi.org/10.1002/adts.201970005.

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5

Kirchhausen, Tomas, Werner Boll, Antoine van Oijen, and Marcelo Ehrlich. "Single-molecule live-cell imaging of clathrin-based endocytosis." Biochemical Society Symposia 72 (January 1, 2005): 71–76. http://dx.doi.org/10.1042/bss0720071.

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Clathrin-coated vesicles carry traffic from the plasma membrane to endosomes. We report here the first real-time visualization of cargo sorting and endocytosis by clathrin-coated pits in living cells. We have visualized the formation of coats by monitoring the incorporation of fluorescently tagged clathrin or its adaptor AP-2 (adaptor protein 2), and have followed clathrin-mediated uptake of transferrin, single LDL (low-density lipoprotein) and single reovirus particles. The intensity of a cargo-loaded clathrin cluster grows steadily during its lifetime, and the time required to complete assem

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6

Ferreira, Bianca Lima, Cristina Mary Orikaza, Esteban Mauricio Cordero, and Renato Arruda Mortara. "Trypanosoma cruzi : single cell live imaging inside infected tissues." Cellular Microbiology 18, no. 6 (2016): 779–83. http://dx.doi.org/10.1111/cmi.12553.

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7

Barry, Zachary T., Ethan Garner, and Mark Bathe. "Heterogeneous Molecular Dynamics Revealed through Live, Single-Cell Imaging." Biophysical Journal 110, no. 3 (2016): 468a. http://dx.doi.org/10.1016/j.bpj.2015.11.2504.

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8

Ishibashi, Munenori, Tsuyoshi Sakai, Reiko Ikebe, and Mitsuo Ikebe. "Live-Cell Single-Molecule Imaging of Human Myosin IIIA." Biophysical Journal 112, no. 3 (2017): 267a. http://dx.doi.org/10.1016/j.bpj.2016.11.1450.

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9

Ichinose, Takako M., and Atsuko H. Iwane. "Long-term live cell cycle imaging of single Cyanidioschyzon merolae cells." Protoplasma 258, no. 3 (2021): 651–60. http://dx.doi.org/10.1007/s00709-020-01592-z.

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AbstractLive cell imaging by fluorescence microscopy is a useful tool for elucidating the localization and function of proteins and organelles in single cells. Especially, time-lapse analysis observing the same field sequentially can be used to observe cells of many organisms and analyze the dynamics of intracellular molecules. By single-cell analysis, it is possible to elucidate the characteristics and fluctuations of individual cells, which cannot be elucidated from the data obtained by averaging the characteristics of an ensemble of cells. The primitive red alga Cyanidioschyzon merolae has

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10

Ritchie, Kenneth, and A. Kusumi. "S3B3 Single molecule scanning in-plane force imaging of the membrane of live cells(Single Molecure Dynamics and Reactions)." Seibutsu Butsuri 42, supplement2 (2002): S14. http://dx.doi.org/10.2142/biophys.42.s14_2.

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11

Date, Sachiko, and Tsutomu Masujima. "Drug Discovery Frontier by Live Single-cell Imaging Mass Spectrometry." Drug Delivery System 27, no. 1 (2012): 10–18. http://dx.doi.org/10.2745/dds.27.10.

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12

Lyon, Kenneth, Luis U. Aguilera, Tatsuya Morisaki, Brian Munsky, and Timothy J. Stasevich. "Live-Cell Single RNA Imaging Reveals Bursts of Translational Frameshifting." Molecular Cell 75, no. 1 (2019): 172–83. http://dx.doi.org/10.1016/j.molcel.2019.05.002.

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13

Pearson, Yanthe E., Amanda W. Lund, Alex W. H. Lin, et al. "Non-invasive single-cell biomechanical analysis using live-imaging datasets." Journal of Cell Science 129, no. 17 (2016): 3351–64. http://dx.doi.org/10.1242/jcs.191205.

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14

Guo, Na, Guanghua Du, Wenjing Liu, et al. "Live cell imaging combined with high-energy single-ion microbeam." Review of Scientific Instruments 87, no. 3 (2016): 034301. http://dx.doi.org/10.1063/1.4943257.

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15

Badrinarayanan, Anjana, Rodrigo Reyes-Lamothe, David J. Sherratt, and Mark C. Leake. "Single Molecule Live Cell Millisecond Fluorescence Imaging of Bacterial Condensins." Biophysical Journal 102, no. 3 (2012): 279a. http://dx.doi.org/10.1016/j.bpj.2011.11.1540.

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16

Ruthardt, Nadia, Karla de Bruin, Kevin Braeckmans, Ernst Wagner, and Christoph Bräuchle. "Live-cell imaging and single-particle tracking of polyplex internalization." Drug Discovery Today 15, no. 23-24 (2010): 1093. http://dx.doi.org/10.1016/j.drudis.2010.09.387.

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17

Wang, Weikang, Diana Douglas, Jingyu Zhang, et al. "Live-cell imaging and analysis reveal cell phenotypic transition dynamics inherently missing in snapshot data." Science Advances 6, no. 36 (2020): eaba9319. http://dx.doi.org/10.1126/sciadv.aba9319.

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Recent advances in single-cell techniques catalyze an emerging field of studying how cells convert from one phenotype to another, in a step-by-step process. Two grand technical challenges, however, impede further development of the field. Fixed cell–based approaches can provide snapshots of high-dimensional expression profiles but have fundamental limits on revealing temporal information, and fluorescence-based live-cell imaging approaches provide temporal information but are technically challenging for multiplex long-term imaging. We first developed a live-cell imaging platform that tracks ce

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18

Ritchie, Ken, Yoriko Lill, Chetan Sood, Hochan Lee, and Shunyuan Zhang. "Single-molecule imaging in live bacteria cells." Philosophical Transactions of the Royal Society B: Biological Sciences 368, no. 1611 (2013): 20120355. http://dx.doi.org/10.1098/rstb.2012.0355.

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Bacteria, such as Escherichia coli and Caulobacter crescentus , are the most studied and perhaps best-understood organisms in biology. The advances in understanding of living systems gained from these organisms are immense. Application of single-molecule techniques in bacteria have presented unique difficulties owing to their small size and highly curved form. The aim of this review is to show advances made in single-molecule imaging in bacteria over the past 10 years, and to look to the future where the combination of implementing such high-precision techniques in well-characterized and contr

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19

Francis, Ashwanth, and Gregory Melikyan. "Live-Cell Imaging of Early Steps of Single HIV-1 Infection." Viruses 10, no. 5 (2018): 275. http://dx.doi.org/10.3390/v10050275.

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20

Liu, Zhe, Luke D. Lavis, and Eric Betzig. "Imaging Live-Cell Dynamics and Structure at the Single-Molecule Level." Molecular Cell 58, no. 4 (2015): 644–59. http://dx.doi.org/10.1016/j.molcel.2015.02.033.

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21

Lita, Adrian, Jing Wu, Deric Park, Mark Gilbert, and Mioara Larion. "CBMT-43. SINGLE LIVE TUMOR CELL METABOLISM VIA RAMAN IMAGING MICROSCOPY." Neuro-Oncology 20, suppl_6 (2018): vi42. http://dx.doi.org/10.1093/neuonc/noy148.162.

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22

Steel, Christina, Qian Wan, and Xiao-Hong Nancy Xu. "Single Live Cell Imaging of Chromosomes in Chloramphenicol-Induced FilamentousPseudomonas aeruginosa†." Biochemistry 43, no. 1 (2004): 175–82. http://dx.doi.org/10.1021/bi035341e.

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23

Leduc, Cécile, Satyabrata Si, Jérémie Gautier, et al. "A Highly Specific Gold Nanoprobe for Live-Cell Single-Molecule Imaging." Nano Letters 13, no. 4 (2013): 1489–94. http://dx.doi.org/10.1021/nl304561g.

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24

Tsabar, Michael, and Galit Lahav. "The Single-Cell Yin and Yang of Live Imaging and Transcriptomics." Cell Systems 4, no. 4 (2017): 375–77. http://dx.doi.org/10.1016/j.cels.2017.04.001.

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25

Sugawara, Ko, Kohki Okabe, and Takashi Funatsu. "Live-Cell Single-Molecule Imaging of Endogenous MRNA in Stress Granules." Biophysical Journal 110, no. 3 (2016): 647a. http://dx.doi.org/10.1016/j.bpj.2015.11.3463.

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26

Bandyopadhyay, Debjyoti, Youngeun J. Kim, Jairo Zapata, and Christine K. Payne. "Lysosome Mobility Probed with Live Cell Imaging and Single Particle Tracking." Biophysical Journal 104, no. 2 (2013): 651a. http://dx.doi.org/10.1016/j.bpj.2012.11.3597.

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27

Jepson, Mark, and Darran Clements. "The changing face of live-cell imaging: From phase contrast to single photon." Biochemist 26, no. 3 (2004): 30–34. http://dx.doi.org/10.1042/bio02603030.

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The imaging of live cells using light microscopy has come a long way from the early days of phase contrast. There have been many exciting developments in technology that now deliver live-cell images that previously would not have been thought possible. The study of dynamic processes right down to the molecular level as they happen in living cells is now common practice in the drive to understand cell function. So what has happened over the past 50 years to make live-cell imaging so much more accessible today?

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28

Kerz, Maximilian, Amos Folarin, Ruta Meleckyte, Fiona M. Watt, Richard J. Dobson, and Davide Danovi. "A Novel Automated High-Content Analysis Workflow Capturing Cell Population Dynamics from Induced Pluripotent Stem Cell Live Imaging Data." Journal of Biomolecular Screening 21, no. 9 (2016): 887–96. http://dx.doi.org/10.1177/1087057116652064.

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Most image analysis pipelines rely on multiple channels per image with subcellular reference points for cell segmentation. Single-channel phase-contrast images are often problematic, especially for cells with unfavorable morphology, such as induced pluripotent stem cells (iPSCs). Live imaging poses a further challenge, because of the introduction of the dimension of time. Evaluations cannot be easily integrated with other biological data sets including analysis of endpoint images. Here, we present a workflow that incorporates a novel CellProfiler-based image analysis pipeline enabling segmenta

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29

Chen, Weili, Kenneth D. Long, Hojeong Yu, et al. "Enhanced live cell imaging via photonic crystal enhanced fluorescence microscopy." Analyst 139, no. 22 (2014): 5954–63. http://dx.doi.org/10.1039/c4an01508h.

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30

Fink, Rachel. "A single frame: Imaging live cells twenty-five years ago." genesis 49, no. 7 (2011): 484–87. http://dx.doi.org/10.1002/dvg.20736.

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31

Luo, Fang, Gege Qin, Tie Xia, and Xiaohong Fang. "Single-Molecule Imaging of Protein Interactions and Dynamics." Annual Review of Analytical Chemistry 13, no. 1 (2020): 337–61. http://dx.doi.org/10.1146/annurev-anchem-091619-094308.

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Live-cell single-molecule fluorescence imaging has become a powerful analytical tool to investigate cellular processes that are not accessible to conventional biochemical approaches. This has greatly enriched our understanding of the behaviors of single biomolecules in their native environments and their roles in cellular events. Here, we review recent advances in fluorescence-based single-molecule bioimaging of proteins in living cells. We begin with practical considerations of the design of single-molecule fluorescence imaging experiments such as the choice of imaging modalities, fluorescent

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32

Yoon, Sangpil, Yijia Pan, Kirk Shung, and Yingxiao Wang. "FRET-Based Ca2+ Biosensor Single Cell Imaging Interrogated by High-Frequency Ultrasound." Sensors 20, no. 17 (2020): 4998. http://dx.doi.org/10.3390/s20174998.

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Fluorescence resonance energy transfer (FRET)-based biosensors have advanced live cell imaging by dynamically visualizing molecular events with high temporal resolution. FRET-based biosensors with spectrally distinct fluorophore pairs provide clear contrast between cells during dual FRET live cell imaging. Here, we have developed a new FRET-based Ca2+ biosensor using EGFP and FusionRed fluorophores (FRET-GFPRed). Using different filter settings, the developed biosensor can be differentiated from a typical FRET-based Ca2+ biosensor with ECFP and YPet (YC3.6 FRET Ca2+ biosensor, FRET-CFPYPet). A

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33

Scholz, Gregor, Shinta Mariana, Agus Dharmawan, et al. "Continuous Live-Cell Culture Imaging and Single-Cell Tracking by Computational Lensfree LED Microscopy." Sensors 19, no. 5 (2019): 1234. http://dx.doi.org/10.3390/s19051234.

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Continuous cell culture monitoring as a way of investigating growth, proliferation, and kinetics of biological experiments is in high demand. However, commercially available solutions are typically expensive and large in size. Digital inline-holographic microscopes (DIHM) can provide a cost-effective alternative to conventional microscopes, bridging the gap towards live-cell culture imaging. In this work, a DIHM is built from inexpensive components and applied to different cell cultures. The images are reconstructed by computational methods and the data are analyzed with particle detection and

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34

Biran, Israel, and David R. Walt. "Optical Imaging Fiber-Based Single Live Cell Arrays: A High-Density Cell Assay Platform." Analytical Chemistry 74, no. 13 (2002): 3046–54. http://dx.doi.org/10.1021/ac020009e.

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35

Ghodke, Harshad, Han Ho, and Antoine M. van Oijen. "Single-molecule live-cell imaging of bacterial DNA repair and damage tolerance." Biochemical Society Transactions 46, no. 1 (2017): 23–35. http://dx.doi.org/10.1042/bst20170055.

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Genomic DNA is constantly under threat from intracellular and environmental factors that damage its chemical structure. Uncorrected DNA damage may impede cellular propagation or even result in cell death, making it critical to restore genomic integrity. Decades of research have revealed a wide range of mechanisms through which repair factors recognize damage and co-ordinate repair processes. In recent years, single-molecule live-cell imaging methods have further enriched our understanding of how repair factors operate in the crowded intracellular environment. The ability to follow individual b

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36

Carmo-Fonseca, Maria. "Single-Molecule Imaging of RNA in Live Cells." Biophysical Journal 110, no. 3 (2016): 522a. http://dx.doi.org/10.1016/j.bpj.2015.11.2793.

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37

Endesfelder, Ulrike. "From single bacterial cell imaging towards in vivo single-molecule biochemistry studies." Essays in Biochemistry 63, no. 2 (2019): 187–96. http://dx.doi.org/10.1042/ebc20190002.

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Abstract Bacteria as single-cell organisms are important model systems to study cellular mechanisms and functions. In recent years and with the help of advanced fluorescence microscopy techniques, immense progress has been made in characterizing and quantifying the behavior of single bacterial cells on the basis of molecular interactions and assemblies in the complex environment of live cultures. Importantly, single-molecule imaging enables the in vivo determination of the stoichiometry and molecular architecture of subcellular structures, yielding detailed, quantitative, spatiotemporally reso

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38

Santangelo, Philip J., Aaron W. Lifland, Paul Curt, et al. "Single molecule–sensitive probes for imaging RNA in live cells." Nature Methods 6, no. 5 (2009): 347–49. http://dx.doi.org/10.1038/nmeth.1316.

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39

Jeorrett, Abigail H., Steven L. Neale, David Massoubre, et al. "Optoelectronic tweezers system for single cell manipulation and fluorescence imaging of live immune cells." Optics Express 22, no. 2 (2014): 1372. http://dx.doi.org/10.1364/oe.22.001372.

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40

Yan, Jing, Andrew G. Sharo, Howard A. Stone, Ned S. Wingreen, and Bonnie L. Bassler. "Vibrio choleraebiofilm growth program and architecture revealed by single-cell live imaging." Proceedings of the National Academy of Sciences 113, no. 36 (2016): E5337—E5343. http://dx.doi.org/10.1073/pnas.1611494113.

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Biofilms are surface-associated bacterial communities that are crucial in nature and during infection. Despite extensive work to identify biofilm components and to discover how they are regulated, little is known about biofilm structure at the level of individual cells. Here, we use state-of-the-art microscopy techniques to enable live single-cell resolution imaging of aVibrio choleraebiofilm as it develops from one single founder cell to a mature biofilm of 10,000 cells, and to discover the forces underpinning the architectural evolution. Mutagenesis, matrix labeling, and simulations demonstr

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41

Thiombane, Ndeye Khady, Nicolas Coutin, Daniel Berard, Radin Tahvildari, Sabrina Leslie, and Corey Nislow. "Single-cell analysis for drug development using convex lens-induced confinement imaging." BioTechniques 67, no. 5 (2019): 210–17. http://dx.doi.org/10.2144/btn-2019-0067.

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New technologies have powered rapid advances in cellular imaging, genomics and phenotypic analysis in life sciences. However, most of these methods operate at sample population levels and provide statistical averages of aggregated data that fail to capture single-cell heterogeneity, complicating drug discovery and development. Here we demonstrate a new single-cell approach based on convex lens-induced confinement (CLiC) microscopy. We validated CLiC on yeast cells, demonstrating subcellular localization with an enhanced signal-to-noise and fluorescent signal detection sensitivity compared with

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42

Harms, Gregory S., Laurent Cognet, Piet H. M. Lommerse, Gerhard A. Blab, and Thomas Schmidt. "Autofluorescent Proteins in Single-Molecule Research: Applications to Live Cell Imaging Microscopy." Biophysical Journal 80, no. 5 (2001): 2396–408. http://dx.doi.org/10.1016/s0006-3495(01)76209-1.

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43

Du, Guanghua, Bernd E. Fischer, and Kay-Obbe Voss. "Live cell calcium imaging at the single ion hit facility of GSI." Nuclear Instruments and Methods in Physics Research Section B: Beam Interactions with Materials and Atoms 269, no. 20 (2011): 2312–16. http://dx.doi.org/10.1016/j.nimb.2011.02.016.

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44

Luo, Yao, Yuping Han, Xingjie Hu, et al. "Live‐cell imaging of octaarginine‐modified polymer dots via single particle tracking." Cell Proliferation 52, no. 2 (2019): e12556. http://dx.doi.org/10.1111/cpr.12556.

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45

Lafranchi, Lorenzo, Dörte Schlesinger, Kyle J. Kimler, and Simon J. Elsässer. "Universal Single-Residue Terminal Labels for Fluorescent Live Cell Imaging of Microproteins." Journal of the American Chemical Society 142, no. 47 (2020): 20080–87. http://dx.doi.org/10.1021/jacs.0c09574.

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46

Richards, Christopher I., Khai Luong, Rahul Srinivasan, et al. "Live-Cell Imaging of Single Receptor Composition Using Zero-Mode Waveguide Nanostructures." Nano Letters 12, no. 7 (2012): 3690–94. http://dx.doi.org/10.1021/nl301480h.

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47

Leake, Mark. "Single-Molecule Live-Cell Imaging of Bacterial Respiratory Complexes Indicates OXPHOS Delocalization." Biophysical Journal 106, no. 2 (2014): 27a. http://dx.doi.org/10.1016/j.bpj.2013.11.203.

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48

Cognet, Laurent, Cécile Leduc, and Brahim Lounis. "Advances in live-cell single-particle tracking and dynamic super-resolution imaging." Current Opinion in Chemical Biology 20 (June 2014): 78–85. http://dx.doi.org/10.1016/j.cbpa.2014.04.015.

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49

Kniss-James, Ariel S., Catherine A. Rivet, Loice Chingozha, Hang Lu, and Melissa L. Kemp. "Single-cell resolution of intracellular T cell Ca2+ dynamics in response to frequency-based H2O2 stimulation." Integrative Biology 9, no. 3 (2017): 238–47. http://dx.doi.org/10.1039/c6ib00186f.

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50

Li, Ming, Sangeeta Ray Banerjee, Chao Zheng, Martin G. Pomper, and Ishan Barman. "Ultrahigh affinity Raman probe for targeted live cell imaging of prostate cancer." Chemical Science 7, no. 11 (2016): 6779–85. http://dx.doi.org/10.1039/c6sc01739h.

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Leveraging optimally engineered SERS tags and urea-based small-molecule inhibitor of PSMA, we report an ultrahigh binding affinity imaging nanoplex for castrate resistant prostate cancer and demonstrate live single cell vibrational spectroscopic imaging at ultralow concentrations.

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