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Showing 1 to 9 of 9 entries
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Phenotypic Profiling of Reference Chemicals across Biologically Diverse Cell Types Using the Cell Painting Assay.

SLAS discovery : advancing life sciences R & D

Willis C, Nyffeler J, Harrill J.
PMID: 32546035
SLAS Discov. 2020 Aug;25(7):755-769. doi: 10.1177/2472555220928004. Epub 2020 Jun 17.

Cell Painting is a high-throughput phenotypic profiling assay that uses fluorescent cytochemistry to visualize a variety of organelles and high-content imaging to derive a large number of morphological features at the single-cell level. Most Cell Painting studies have used...

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Willis C, Nyffeler J, Harrill J. Phenotypic Profiling of Reference Chemicals across Biologically Diverse Cell Types Using the Cell Painting Assay. SLAS Discov. 2020;25(7):755-769doi: 10.1177/2472555220928004.
Willis, C., Nyffeler, J., & Harrill, J. (2020). Phenotypic Profiling of Reference Chemicals across Biologically Diverse Cell Types Using the Cell Painting Assay. SLAS discovery : advancing life sciences R & D, 25(7), 755-769. https://doi.org/10.1177/2472555220928004
Willis, Clinton, et al. "Phenotypic Profiling of Reference Chemicals across Biologically Diverse Cell Types Using the Cell Painting Assay." SLAS discovery : advancing life sciences R & D vol. 25,7 (2020): 755-769. doi: https://doi.org/10.1177/2472555220928004
Willis C, Nyffeler J, Harrill J. Phenotypic Profiling of Reference Chemicals across Biologically Diverse Cell Types Using the Cell Painting Assay. SLAS Discov. 2020 Aug;25(7):755-769. doi: 10.1177/2472555220928004. Epub 2020 Jun 17. PMID: 32546035.
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Development of Pico-ESI-MS for Single-Cell Metabolomics Analysis.

Methods in molecular biology (Clifton, N.J.)

Wei Z, Zhang X, Si X, Gong X, Zhang S, Zhang X.
PMID: 31565765
Methods Mol Biol. 2020;2064:31-59. doi: 10.1007/978-1-4939-9831-9_4.

In this chapter, we introduced a Pico-ESI strategy for metabolomics analysis with picoliter-level samples. This Pico-ESI strategy was technically achieved by pulsed direct current electrospray ionization source (Pulsed-DC-ESI). This source could collect MS signals for a few minutes from...

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Wei Z, Zhang X, Si X, et al. Development of Pico-ESI-MS for Single-Cell Metabolomics Analysis. Methods Mol Biol. 2020;2064:31-59doi: 10.1007/978-1-4939-9831-9_4.
Wei, Z., Zhang, X., Si, X., Gong, X., Zhang, S., & Zhang, X. (2020). Development of Pico-ESI-MS for Single-Cell Metabolomics Analysis. Methods in molecular biology (Clifton, N.J.), 206431-59. https://doi.org/10.1007/978-1-4939-9831-9_4
Wei, Zhenwei, et al. "Development of Pico-ESI-MS for Single-Cell Metabolomics Analysis." Methods in molecular biology (Clifton, N.J.) vol. 2064 (2020): 31-59. doi: https://doi.org/10.1007/978-1-4939-9831-9_4
Wei Z, Zhang X, Si X, Gong X, Zhang S, Zhang X. Development of Pico-ESI-MS for Single-Cell Metabolomics Analysis. Methods Mol Biol. 2020;2064:31-59. doi: 10.1007/978-1-4939-9831-9_4. PMID: 31565765.
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Low-voltage electrical cell lysis using a microfluidic device.

Biomedical microdevices

Wei XY, Li JH, Wang L, Yang F.
PMID: 30790126
Biomed Microdevices. 2019 Feb 21;21(1):22. doi: 10.1007/s10544-019-0369-x.

Cell lysis, where cellular material is released, is the basis for the separation and purification of cell contents, biochemical analysis, and other related experiments. It is also a key step in molecular, real-time, and cancer diagnoses as well as...

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Wei XY, Li JH, Wang L, et al. Low-voltage electrical cell lysis using a microfluidic device. Biomed Microdevices. 2019;21(1):22doi: 10.1007/s10544-019-0369-x.
Wei, X. Y., Li, J. H., Wang, L., & Yang, F. (2019). Low-voltage electrical cell lysis using a microfluidic device. Biomedical microdevices, 21(1), 22. https://doi.org/10.1007/s10544-019-0369-x
Wei, Xiao-Yu, et al. "Low-voltage electrical cell lysis using a microfluidic device." Biomedical microdevices vol. 21,1 (2019): 22. doi: https://doi.org/10.1007/s10544-019-0369-x
Wei XY, Li JH, Wang L, Yang F. Low-voltage electrical cell lysis using a microfluidic device. Biomed Microdevices. 2019 Feb 21;21(1):22. doi: 10.1007/s10544-019-0369-x. PMID: 30790126.
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Substrate stiffness modulates the viscoelastic properties of MCF-7 cells.

Journal of the mechanical behavior of biomedical materials

Gil-Redondo JC, Weber A, Zbiral B, Vivanco MD, Toca-Herrera JL.
PMID: 34826769
J Mech Behav Biomed Mater. 2022 Jan;125:104979. doi: 10.1016/j.jmbbm.2021.104979. Epub 2021 Nov 18.

Cells sense stiffness of surrounding tissues and adapt their activity, proliferation, motility and mechanical properties based on such interactions. Cells probe the stiffness of the substrate by anchoring and pulling to their surroundings, transmitting force to the extracellular matrix...

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Gil-Redondo JC, Weber A, Zbiral B, et al. Substrate stiffness modulates the viscoelastic properties of MCF-7 cells. J Mech Behav Biomed Mater. 2021;125:104979doi: 10.1016/j.jmbbm.2021.104979.
Gil-Redondo, J. C., Weber, A., Zbiral, B., Vivanco, M. D., & Toca-Herrera, J. L. (2022). Substrate stiffness modulates the viscoelastic properties of MCF-7 cells. Journal of the mechanical behavior of biomedical materials, 125104979. https://doi.org/10.1016/j.jmbbm.2021.104979
Gil-Redondo, Juan Carlos, et al. "Substrate stiffness modulates the viscoelastic properties of MCF-7 cells." Journal of the mechanical behavior of biomedical materials vol. 125 (2022): 104979. doi: https://doi.org/10.1016/j.jmbbm.2021.104979
Gil-Redondo JC, Weber A, Zbiral B, Vivanco MD, Toca-Herrera JL. Substrate stiffness modulates the viscoelastic properties of MCF-7 cells. J Mech Behav Biomed Mater. 2022 Jan;125:104979. doi: 10.1016/j.jmbbm.2021.104979. Epub 2021 Nov 18. PMID: 34826769.
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Photoinitiator-Initiated Estrogenic Activity in Human Breast Cancer Cell Line MCF-7.

Journal of toxicology and environmental health. Part A

Morizane M, Kawasaki Y, Miura T, Yagi K, Esumi S, Kitamura Y, Sendo T.
PMID: 26692070
J Toxicol Environ Health A. 2015;78(23):1450-60. doi: 10.1080/15287394.2015.1094431.

A recent in vitro study reported that the photoinitiator 2-isopropylthioxanthone (2-ITX) is an endocrine-disrupting compound (EDC). However, it is not clear whether other photoinitiators such as 1-hydroxycyclohexyl phenyl ketone (1-HCHPK) and 2-methyl-4'-(methylthio)-2-morpholinopropiophenone (MTMP) produce endocrine-disrupting effects. The purpose of...

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Morizane M, Kawasaki Y, Miura T, et al. Photoinitiator-Initiated Estrogenic Activity in Human Breast Cancer Cell Line MCF-7. J Toxicol Environ Health A. 2015;78(23):1450-60doi: 10.1080/15287394.2015.1094431.
Morizane, M., Kawasaki, Y., Miura, T., Yagi, K., Esumi, S., Kitamura, Y., & Sendo, T. (2015). Photoinitiator-Initiated Estrogenic Activity in Human Breast Cancer Cell Line MCF-7. Journal of toxicology and environmental health. Part A, 78(23), 1450-60. https://doi.org/10.1080/15287394.2015.1094431
Morizane, Miwa, et al. "Photoinitiator-Initiated Estrogenic Activity in Human Breast Cancer Cell Line MCF-7." Journal of toxicology and environmental health. Part A vol. 78,23 (2015): 1450-60. doi: https://doi.org/10.1080/15287394.2015.1094431
Morizane M, Kawasaki Y, Miura T, Yagi K, Esumi S, Kitamura Y, Sendo T. Photoinitiator-Initiated Estrogenic Activity in Human Breast Cancer Cell Line MCF-7. J Toxicol Environ Health A. 2015;78(23):1450-60. doi: 10.1080/15287394.2015.1094431. PMID: 26692070.
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Intracellular nanoparticles mass quantification by near-edge absorption soft X-ray nanotomography.

Scientific reports

Conesa JJ, Otón J, Chiappi M, Carazo JM, Pereiro E, Chichón FJ, Carrascosa JL.
PMID: 26960695
Sci Rep. 2016 Mar 10;6:22354. doi: 10.1038/srep22354.

We used soft X-ray three-dimensional imaging to quantify the mass of superparamagnetic iron oxide nanoparticles (SPION) within whole cells, by exploiting the iron oxide differential absorption contrast. Near-edge absorption soft X-ray nanotomography (NEASXT) combines whole-cell 3D structure determination at...

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Conesa JJ, Otón J, Chiappi M, et al. Intracellular nanoparticles mass quantification by near-edge absorption soft X-ray nanotomography. Sci Rep. 2016;6:22354doi: 10.1038/srep22354.
Conesa, J. J., Otón, J., Chiappi, M., Carazo, J. M., Pereiro, E., Chichón, F. J., & Carrascosa, J. L. (2016). Intracellular nanoparticles mass quantification by near-edge absorption soft X-ray nanotomography. Scientific reports, 622354. https://doi.org/10.1038/srep22354
Conesa, Jose Javier, et al. "Intracellular nanoparticles mass quantification by near-edge absorption soft X-ray nanotomography." Scientific reports vol. 6 (2016): 22354. doi: https://doi.org/10.1038/srep22354
Conesa JJ, Otón J, Chiappi M, Carazo JM, Pereiro E, Chichón FJ, Carrascosa JL. Intracellular nanoparticles mass quantification by near-edge absorption soft X-ray nanotomography. Sci Rep. 2016 Mar 10;6:22354. doi: 10.1038/srep22354. PMID: 26960695; PMCID: PMC4785355.
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Simulating photoacoustic waves produced by individual biological particles with spheroidal wave functions.

Scientific reports

Li Y, Fang H, Min C, Yuan X.
PMID: 26442830
Sci Rep. 2015 Oct 07;5:14801. doi: 10.1038/srep14801.

Under the usual approximation of treating a biological particle as a spheroidal droplet, we consider the analysis of its size and shape with the high frequency photoacoustics and develop a numerical method which can simulate its characteristic photoacoustic waves....

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Li Y, Fang H, Min C, et al. Simulating photoacoustic waves produced by individual biological particles with spheroidal wave functions. Sci Rep. 2015;5:14801doi: 10.1038/srep14801.
Li, Y., Fang, H., Min, C., & Yuan, X. (2015). Simulating photoacoustic waves produced by individual biological particles with spheroidal wave functions. Scientific reports, 514801. https://doi.org/10.1038/srep14801
Li, Yong, et al. "Simulating photoacoustic waves produced by individual biological particles with spheroidal wave functions." Scientific reports vol. 5 (2015): 14801. doi: https://doi.org/10.1038/srep14801
Li Y, Fang H, Min C, Yuan X. Simulating photoacoustic waves produced by individual biological particles with spheroidal wave functions. Sci Rep. 2015 Oct 07;5:14801. doi: 10.1038/srep14801. PMID: 26442830; PMCID: PMC4595827.
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A multi-layer microchip for high-throughput single-cell gene expression profiling.

Analytical biochemistry

Sun H.
PMID: 27255567
Anal Biochem. 2016 Sep 01;508:1-8. doi: 10.1016/j.ab.2016.05.021. Epub 2016 May 31.

Microfluidics or Bio-MEMS technology offers significant advantages for performing high-throughput screens and sensitive assays. The ability to correlate single-cell genetic information with cellular phenotypes is of great importance to biology and medicine because it holds the potential to gain...

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Sun H. A multi-layer microchip for high-throughput single-cell gene expression profiling. Anal Biochem. 2016;508:1-8doi: 10.1016/j.ab.2016.05.021.
Sun, H. (2016). A multi-layer microchip for high-throughput single-cell gene expression profiling. Analytical biochemistry, 5081-8. https://doi.org/10.1016/j.ab.2016.05.021
Sun, Hao. "A multi-layer microchip for high-throughput single-cell gene expression profiling." Analytical biochemistry vol. 508 (2016): 1-8. doi: https://doi.org/10.1016/j.ab.2016.05.021
Sun H. A multi-layer microchip for high-throughput single-cell gene expression profiling. Anal Biochem. 2016 Sep 01;508:1-8. doi: 10.1016/j.ab.2016.05.021. Epub 2016 May 31. PMID: 27255567.
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Proteomics reveals the importance of the dynamic redistribution of the subcellular location of proteins in breast cancer cells.

Expert review of proteomics

Pinto G, Alhaiek AA, Godovac-Zimmermann J.
PMID: 25591448
Expert Rev Proteomics. 2015 Feb;12(1):61-74. doi: 10.1586/14789450.2015.1002474. Epub 2015 Jan 16.

At the molecular level, living cells are enormously complicated complex adaptive systems in which intertwined genomic, transcriptomic, proteomic and metabolic networks all play a crucial role. At the same time, cells are spatially heterogeneous systems in which subcellular compartmentalization...

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Pinto G, Alhaiek AA, Godovac-Zimmermann J. Proteomics reveals the importance of the dynamic redistribution of the subcellular location of proteins in breast cancer cells. Expert Rev Proteomics. 2015;12(1):61-74doi: 10.1586/14789450.2015.1002474.
Pinto, G., Alhaiek, A. A., & Godovac-Zimmermann, J. (2015). Proteomics reveals the importance of the dynamic redistribution of the subcellular location of proteins in breast cancer cells. Expert review of proteomics, 12(1), 61-74. https://doi.org/10.1586/14789450.2015.1002474
Pinto, Gabriella, et al. "Proteomics reveals the importance of the dynamic redistribution of the subcellular location of proteins in breast cancer cells." Expert review of proteomics vol. 12,1 (2015): 61-74. doi: https://doi.org/10.1586/14789450.2015.1002474
Pinto G, Alhaiek AA, Godovac-Zimmermann J. Proteomics reveals the importance of the dynamic redistribution of the subcellular location of proteins in breast cancer cells. Expert Rev Proteomics. 2015 Feb;12(1):61-74. doi: 10.1586/14789450.2015.1002474. Epub 2015 Jan 16. PMID: 25591448.
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Showing 1 to 9 of 9 entries