Thematische Bibliographien / Cell interaction

Auswahl der wissenschaftlichen Literatur zum Thema „Cell interaction“

Autor: Grafiati
Veröffentlicht am 4. Juni 2021
Zuletzt aktualisiert am 28. Februar 2023

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Inhaltsverzeichnis

  1. Zeitschriftenartikel
  2. Dissertationen
  3. Bücher
  4. Buchteile
  5. Konferenzberichte
  6. Berichte der Organisationen

Zeitschriftenartikel zum Thema "Cell interaction":

1

Brückner, David B., Nicolas Arlt, Alexandra Fink, Pierre Ronceray, Joachim O. Rädler und Chase P. Broedersz. „Learning the dynamics of cell–cell interactions in confined cell migration“. Proceedings of the National Academy of Sciences 118, Nr. 7 (12.02.2021): e2016602118. http://dx.doi.org/10.1073/pnas.2016602118.

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The migratory dynamics of cells in physiological processes, ranging from wound healing to cancer metastasis, rely on contact-mediated cell–cell interactions. These interactions play a key role in shaping the stochastic trajectories of migrating cells. While data-driven physical formalisms for the stochastic migration dynamics of single cells have been developed, such a framework for the behavioral dynamics of interacting cells still remains elusive. Here, we monitor stochastic cell trajectories in a minimal experimental cell collider: a dumbbell-shaped micropattern on which pairs of cells perform repeated cellular collisions. We observe different characteristic behaviors, including cells reversing, following, and sliding past each other upon collision. Capitalizing on this large experimental dataset of coupled cell trajectories, we infer an interacting stochastic equation of motion that accurately predicts the observed interaction behaviors. Our approach reveals that interacting noncancerous MCF10A cells can be described by repulsion and friction interactions. In contrast, cancerous MDA-MB-231 cells exhibit attraction and antifriction interactions, promoting the predominant relative sliding behavior observed for these cells. Based on these experimentally inferred interactions, we show how this framework may generalize to provide a unifying theoretical description of the diverse cellular interaction behaviors of distinct cell types.
2

Ogushi, Fumiko, und Hiroshi Kori. „3P277 Dependence of cell differentiation ratio on cell-cell interaction and noise(24. Mathematical biology,Poster)“. Seibutsu Butsuri 53, supplement1-2 (2013): S257. http://dx.doi.org/10.2142/biophys.53.s257_6.

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3

Manimaran, K., Arun Kumar, AvinashGandi D und S. Sankaranarayanan. „Interaction of Human Dental Pulp Stem Cells and Ameloblastic Cell In-vitro- A Preclinical Analysis“. Annals of Oral Health and Dental Research 2, Nr. 1 (17.01.2018): A1–5. http://dx.doi.org/10.21276/aohdr.1831.

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4

Chesterton, C. J. „Cell to cell interaction“. FEBS Letters 293, Nr. 1-2 (01.11.1991): 229. http://dx.doi.org/10.1016/0014-5793(91)81201-i.

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5

Oropesa-Nuñez, Reinier, Andrea Mescola, Massimo Vassalli und Claudio Canale. „Impact of Experimental Parameters on Cell–Cell Force Spectroscopy Signature“. Sensors 21, Nr. 4 (04.02.2021): 1069. http://dx.doi.org/10.3390/s21041069.

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Atomic force microscopy is an extremely versatile technique, featuring atomic-scale imaging resolution, and also offering the possibility to probe interaction forces down to few pN. Recently, this technique has been specialized to study the interaction between single living cells, one on the substrate, and a second being adhered on the cantilever. Cell–cell force spectroscopy offers a unique tool to investigate in fine detail intra-cellular interactions, and it holds great promise to elucidate elusive phenomena in physiology and pathology. Here we present a systematic study of the effect of the main measurement parameters on cell–cell curves, showing the importance of controlling the experimental conditions. Moreover, a simple theoretical interpretation is proposed, based on the number of contacts formed between the two interacting cells. The results show that single cell–cell force spectroscopy experiments carry a wealth of information that can be exploited to understand the inner dynamics of the interaction of living cells at the molecular level.
6

Yuan, Ye, Carlos Cosme, Taylor Sterling Adams, Jonas Schupp, Koji Sakamoto, Nikos Xylourgidis, Matthew Ruffalo, Jiachen Li, Naftali Kaminski und Ziv Bar-Joseph. „CINS: Cell Interaction Network inference from Single cell expression data“. PLOS Computational Biology 18, Nr. 9 (12.09.2022): e1010468. http://dx.doi.org/10.1371/journal.pcbi.1010468.

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Studies comparing single cell RNA-Seq (scRNA-Seq) data between conditions mainly focus on differences in the proportion of cell types or on differentially expressed genes. In many cases these differences are driven by changes in cell interactions which are challenging to infer without spatial information. To determine cell-cell interactions that differ between conditions we developed the Cell Interaction Network Inference (CINS) pipeline. CINS combines Bayesian network analysis with regression-based modeling to identify differential cell type interactions and the proteins that underlie them. We tested CINS on a disease case control and on an aging mouse dataset. In both cases CINS correctly identifies cell type interactions and the ligands involved in these interactions improving on prior methods suggested for cell interaction predictions. We performed additional mouse aging scRNA-Seq experiments which further support the interactions identified by CINS.
7

Okuyama, Akihiko. „INTRATESTICULAR CELL TO CELL INTERACTION“. Japanese Journal of Urology 83, Nr. 7 (1992): 1027–35. http://dx.doi.org/10.5980/jpnjurol1989.83.1027.

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8

Yamasaki, Hiroshi. „Cell-Cell Interaction and Carcinogenesis“. Toxicologic Pathology 14, Nr. 3 (April 1986): 363–69. http://dx.doi.org/10.1177/019262338601400313.

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9

Hwang, Inkyu, Jing-Feng Huang, Hidehiro Kishimoto, Anders Brunmark, Per A. Peterson, Michael R. Jackson, Charles D. Surh, Zeling Cai und Jonathan Sprent. „T Cells Can Use Either T Cell Receptor or Cd28 Receptors to Absorb and Internalize Cell Surface Molecules Derived from Antigen-Presenting Cells“. Journal of Experimental Medicine 191, Nr. 7 (27.03.2000): 1137–48. http://dx.doi.org/10.1084/jem.191.7.1137.

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At the site of contact between T cells and antigen-presenting cells (APCs), T cell receptor (TCR)–peptide–major histocompatibility complex (MHC) interaction is intensified by interactions between other molecules, notably by CD28 and lymphocyte function-associated antigen 1 (LFA-1) on T cells interacting with B7 (B7-1 and B7-2), and intracellular adhesion molecule 1 (ICAM-1), respectively, on APCs. Here, we show that during T cell–APC interaction, T cells rapidly absorb various molecules from APCs onto the cell membrane and then internalize these molecules. This process is dictated by at least two receptors on T cells, namely CD28 and TCR molecules. The biological significance of T cell uptake of molecules from APCs is unclear. One possibility is that this process may allow activated T cells to move freely from one APC to another and eventually gain entry into the circulation.
10

Guo, Chutian. „Cell Type Specific Gene Interaction between Microbiota and Antidepressant Drugs“. International Journal of Bioscience, Biochemistry and Bioinformatics 11, Nr. 2 (April 2021): 14–21. http://dx.doi.org/10.17706/ijbbb.2021.11.2.14-21.

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Zeitschriftenartikel Dissertationen Bücher

Dissertationen zum Thema "Cell interaction":

1

Wong, Ching-hang. „Cell-cell interactions and cell junction dynamics in the mammalian testis“. Click to view the E-thesis via HKUTO, 2005. http://sunzi.lib.hku.hk/hkuto/record/B31993084.

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Kim, Sung Kyu. „Endothelial cell interaction with collagen“. Thesis, University of Cambridge, 2015. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.709002.

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Wong, Ching-hang, und 黃政珩. „Cell-cell interactions and cell junction dynamics in the mammalian testis“. Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2005. http://hub.hku.hk/bib/B31993084.

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Kavikondala, Sushma. „Dendritic cell and B cell interactions in systemic lupuserythematosus“. Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2007. http://hub.hku.hk/bib/B39793710.

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5

Wright, Kierra D. „Chiral polymer surface-cell interaction: understanding the role of chirality & surface topography on polymer-cell interactions“. DigitalCommons@Robert W. Woodruff Library, Atlanta University Center, 2012. http://digitalcommons.auctr.edu/dissertations/436.

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Understanding surface-cell interactions is essential to fabricating a successful biomaterial. In vivo, cells interact with asymmetric features on the micro- and nanoscale. Some of these features, described as valleys, ridges, and spheres, are random, but methodically placed. There are many techniques used to duplicate the topographical features that cells encounter, many of which rely on precision and are labor intensive. Alternatively, the synthetic poly(2-methoxystyrene) (P2MS) homopolymer selfassembled into desirable features, was easily processed and produced the random surface preferred by cells. The features achieved with P2MS were the result of secondary and tertiary conformations confirmed by circular dichroism. The features were also a consequence of the optical activity revealed by polarimetry. Advanced microscopy verified that the features were indeed biomimetic and measured between 150—600 nm in depth and height. Polymers were synthesized using free radical and anionic techniques; some involved the use of a chiral initiator. Spin-casting and solvent annealing were employed to create polymer films for substrate-cell studies. Reaction conditions and molecular weight were varied to achieve different topographical features and thermal profiles. In showing that the films were able to be sterilized, the films were further subjected to cytotoxicity studies involving both Escherichia coli and Bacillus cereus. The results of turbidity measurements and colony counting revealed increased cell viability. The gram positive bacteria, B. cereus, showed increased adhesion through hydrophobic interactions, the same type of interactions proteins rely on for deposition prior to cell adhesion. The cell adhesion study used the human epithelial carcinoma (HeLa) cell line, and showed increased adhesion on chiral initiated P2MS. As a result, this work verified that topographical features can influence cell behavior without the presence of biochemical cues and that P2MS may provide a viable option for tissue engineering applications.
6

Miller, Christina Roshek 1969. „Photosensitive liposome-cell interaction in vitro“. Diss., The University of Arizona, 1998. http://hdl.handle.net/10150/288913.

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Bennett and O'Brien [Biochemistry 1995 34, 3102] showed that the ultraviolet light exposure of two-component large unilamellar liposomes (LUV) composed of a 3:1 molar mixture of dioleoylphosphatidylethanolamine (DOPE) and 1,2-bis[10-(2'-hexadienoyloxy)-decanoyl]-sn-glycero-3-phosphatidylcholine (bis-SorbPC) facilitated liposome fusion. The rate and extent of fusion was dependent on the extent of photopolymerization, the temperature, and the pH. Here, the effect of the molar lipid ratio of DOPE/bis-SorbPC liposomes on the temperature for the onset of fusion, was characterized by changing the relative amounts of unreactive polymorphic lipid, and reactive lamellar lipid. The cellular uptake of liposomes is mediated by nonspecific adsorption of liposomes onto the cell surface and subsequent endocytosis. This research compared the effect of liposome surface charge on liposomal binding and endocytosis by a human cancer cell line, HeLa, and a murine macrophage cell line, J774. LUV were composed of dioleolylphosphatidylcholine with and without either a cationic lipid, dioleoyldimethylammonium propanediol, or an anionic lipid, dioleolylphosphatidylserine. HeLa cells endocytosed cationic liposomes to a greater extent than either neutral or anionic liposomes and with PEG- LUV, a neutral PEG-lipid over the anionic PEG-PE2000. In contrast, the extent of liposome endocytosis by J774 cells was quite similar for both cationic and anionic liposomes, both greater than neutral liposomes. Incorporation of a neutral PEG lipid may minimize interactions with cells of the RES, yet strongly interact with proliferative cells. Clapp et al., [Macromolecules 1997 30, 32] demonstrated that certain amphiphilic cyanine dyes are capable of sensitizing lipid polymerization to visible light. The individual effects of pH, light intensity, temperature, and the requirement for oxygen suggested that the polymerization process is initiated by electron transfer from the dye excited state to oxygen, to yield superoxide anion, which in aqueous media combines to form hydrogen peroxide. Here, irradiation of cell-associated visible light sensitive liposomes sensitized with either the cationic dye, N, N' -dioctadecyl-3,3,3',3'-tetramethylindocarbocyanine, DiIC(18)3, or a sulfonated derivative, DiI-DS, caused cell membrane damage and cytoplasmic delivery of liposomal contents could not be confirmed.
7

Nam, Hye In. „Multiplexed fragmentation and protein interaction reporter technology application to human cells“. Pullman, Wash. : Washington State University, 2009. http://www.dissertations.wsu.edu/Thesis/Summer2009/h_nam_071509.pdf.

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Thesis (M.S. in Chemistry)--Washington State University, August 2009.
Title from PDF title page (viewed on Sept. 21, 2009). "Department of Chemistry." Includes bibliographical references (p. 60-66).
8

Rezaei, Nima. „B-Cell and T-Cell interaction in common variable immunodeficiency“. Thesis, University of Sheffield, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.512017.

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Zeytun, Ahmet. „Tumor cell-immune cell interaction: A lethal two way street“. Diss., Virginia Tech, 1999. http://hdl.handle.net/10919/27905.

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We investigated the role of Fas ligand in the development of anti-tumor immunity. The LSA tumor specific cytotoxic T lymphocyte (CTL) clone, PE-9, expressed both Fas and Fas ligand. This CTL clone upregulated Fas and Fas ligand expression upon activation through the T-cell receptor and induced apoptosis in Fas+, LSA tumor cells using the FasL-based pathway. However, LSA and EL-4 tumor cells constitutively expressed Fas ligand and killed Fas+ PE-9 CTLs and Fas+, but not Fas-negative (Fas-) activated T cells and thymocytes. These data suggested that T cells and cancer cells can kill each other and that cancer cells may use Fas ligand to evade the action of the immune T cells. In addition to the expression of membrane-bound form, FasL+ LSA and EL-4 tumor cells produced a soluble form of Fas ligand when they grew in vivo and in vitro. Serum from EL-4 or LSA-bearing wild type mice contained significant levels of Fas ligand. The soluble FasL induced apoptosis in liver and thymus of C57BL/6 wild type (Fas+) mice, but not C57BL/6 lpr/lpr (Fas-) mice. The detection of apoptosis in the liver of C57BL/6 gld/gld (FasL-defective) mice suggested that the source of Fas ligand found in the sera of EL-4 or LSA-bearing mice was from the tumor cells rather than the host cells. CTL or NK cells used FasL-based apoptosis to kill the target cells when activated. To this end, we tested whether constitutive expression of Fas on tumor cells generate enhanced anti-tumor immunity. IL-2 or poly-I-C induced/ activated NK/LAK cells displayed higher cytotoxicity against L1210 Fas+, but not L1210 Fas- tumor cells. Furthermore, growth of L1210 Fas+, but not Fas- tumor, in vivo, generated Fas-specific cytotoxic T lymphocytes. Therefore, mice bearing L1210 Fas+ tumor cells survived for a longer time than mice bearing L1210 Fas- tumor cells. To determine the role of the Fas, FasL, and perforin in the initiation of tumor, C57BL/6 +/+ (FasL+, Fas+), C57BL/6 lpr/lpr (Fas-), C57BL/6 gld/gld (FasL-), and perforin knock-out (PKO) (FasL+, Fas+, but perforin-deficient) mice were injected with methylcholanthrane (MCA). Tumor development in lpr or gld mice was faster and uncontrollable, compared to C57BL/6 (wild-type) and PKO mice. However, wild-type and PKO mice showed delayed tumor appearence and were able to suppress tumor growth. In addition to the deficiency of Fas or FasL, high levels of TGF-b and IL-10 expression detected in lpr and gld mice were also responsible for the early tumor development. Together these data suggested that interactions between Fas and Fas ligand, expressed on immune cells and tumor cells, play an important role in the generation of anti-tumor immunity. Tumor cells use FasL to evade the action of the immune system, and upregulation of FasL makes T cells more cytolytic. Tumor growth may depend on the number of cancer cells vs. the number of cancer specific T cells.
Ph. D.
10

Kavikondala, Sushma. „Dendritic cell and B cell interactions in systemic lupus erythematosus“. View the Table of Contents & Abstract, 2007. http://sunzi.lib.hku.hk/hkuto/record/B39711523.

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Bücher zum Thema "Cell interaction":

1

Martin, Dworkin, Hrsg. Microbial cell-cell interactions. Washington, D.C: American Society for Microbiology, 1991.

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Sayers, Nicola MacDonald. Fibroblast-endothelial cell interaction. Manchester: University of Manchester, 1993.

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P, Colgan Sean, Hrsg. Cell-cell interactions: Methods and protocols. Totowa, N.J: Humana Press, 2006.

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Baudino, Troy A. Cell-cell interactions: Methods and protocols. 2. Aufl. New York: Humana Press/Springer, 2013.

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Society for Developmental Biology. Symposium. Cell-cell interactions in early development. Herausgegeben von Gerhart John 1936-. New York: Wiley-Liss, 1991.

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1927-, Sussex Ian M., Hrsg. Plant cell/cell interactions. Cold Spring Harbor, N.Y: Cold Spring Harbor Laboratory, 1985.

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Colloque d'animation de la recherche INSERM (2nd 1986). Communication cellulaire & pathologie. Paris: INSERM, 1988.

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P, Fleming Tom, Hrsg. Cell-cell interactions: A practical approach. 2. Aufl. Oxford: Oxford University Press, 2002.

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Morgan, Noel G. Cell signalling. Milton Keynes [England]: Open University Press, 1989.

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Russell, Stevenson Bruce, Gallin Warren J und Paul David Louis, Hrsg. Cell-cell interactions: A practical approach. Oxford: IRL Press at Oxford University Press, 1992.

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Buchteile zum Thema "Cell interaction":

1

Wirth, Reinhard. „Prokaryotic Cell–Cell Interaction“. In Prokaryotic Cell Wall Compounds, 409–27. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-05062-6_14.

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Deutsch, Andreas, und Sabine Dormann. „Adhesive Cell Interaction“. In Cellular Automaton Modeling of Biological Pattern Formation, 159–83. Boston, MA: Birkhäuser Boston, 2017. http://dx.doi.org/10.1007/978-1-4899-7980-3_7.

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Feinstein, Timothy N. „Cell-Surface Protein–Protein Interaction Analysis with Time-Resolved FRET and Snap-Tag Technologies“. In Cell-Cell Interactions, 121–29. Totowa, NJ: Humana Press, 2013. http://dx.doi.org/10.1007/978-1-62703-604-7_11.

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Gabison, Eric, Farah Khayati, Samia Mourah und Suzanne Menashi. „Cell Membrane Vesicles as a Tool for the Study of Direct Epithelial–Stromal Interaction: Lessons from CD147“. In Cell-Cell Interactions, 103–11. Totowa, NJ: Humana Press, 2013. http://dx.doi.org/10.1007/978-1-62703-604-7_9.

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Lucas, W. J., S. Wolf, C. M. Deom, G. M. Kishore und R. N. Beachy. „Plasmodesmata - Virus Interaction“. In Parallels in Cell to Cell Junctions in Plants and Animals, 261–74. Berlin, Heidelberg: Springer Berlin Heidelberg, 1990. http://dx.doi.org/10.1007/978-3-642-83971-9_18.

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Pavelka, Margit, und Jürgen Roth. „Selectin — Ligand-Mediated Cell-Cell Interaction“. In Functional Ultrastructure, 174–75. Vienna: Springer Vienna, 2010. http://dx.doi.org/10.1007/978-3-211-99390-3_91.

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7

Hayes, J. S., E. M. Czekanska und R. G. Richards. „The Cell–Surface Interaction“. In Tissue Engineering III: Cell - Surface Interactions for Tissue Culture, 1–31. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/10_2011_110.

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8

Balfour, B. M., L. Buttifant, J. O’Brien, J. Clarke und S. C. Knight. „Veiled Cell Lymphocyte Interaction“. In Microenvironments in the Lymphoid System, 395–99. Boston, MA: Springer US, 1985. http://dx.doi.org/10.1007/978-1-4613-2463-8_48.

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9

Sinowatz, F., E. Toepfer-Petersen und H. J. Gabius. „Fertilization: A model for cell-cell interaction“. In Lectins and Cancer, 293–304. Berlin, Heidelberg: Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/978-3-642-76739-5_22.

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10

Sazeides, Christos, und Anne Le. „Metabolic Relationship Between Cancer-Associated Fibroblasts and Cancer Cells“. In The Heterogeneity of Cancer Metabolism, 189–204. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-65768-0_14.

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AbstractCancer-associated fibroblasts (CAFs), a major component of the tumor microenvironment (TME), play an important role in cancer initiation, progression, and metastasis. Recent findings have demonstrated that the TME not only provides physical support for cancer cells but also directs cell-to-cell interactions (in this case, the interaction between cancer cells and CAFs). As cancer progresses, the CAFs also coevolve, transitioning from an inactivated state to an activated state. The elucidation and understanding of the interaction between cancer cells and CAFs will pave the way for new cancer therapies [1–3].

Konferenzberichte zum Thema "Cell interaction":

1

Reynaud, J. A., A. Brack, J. P. Grivet und Y. Trudelle. „Interaction of phospholipids with basic amphiphilic polypeptides“. In The living cell in four dimensions. AIP, 1991. http://dx.doi.org/10.1063/1.40574.

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Shi, Xing. „Numerical analysis on cell-cell interaction of red blood cells during sedimentation“. In INTERNATIONAL CONFERENCE OF NUMERICAL ANALYSIS AND APPLIED MATHEMATICS (ICNAAM 2016). Author(s), 2017. http://dx.doi.org/10.1063/1.4992731.

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Yuan, Wenqiao Wayne, Yan Cui und Z. J. Pei. „Algal Cell-Surface Interaction: An Overview and Preliminary Test“. In ASME 2009 International Manufacturing Science and Engineering Conference. ASMEDC, 2009. http://dx.doi.org/10.1115/msec2009-84222.

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Five methods, namely adsorption, covalent binding, encapsulation, entrapment, and cross-linking, for algae immobilization were briefly reviewed in this article. The immobilization capabilities of four solid carrier materials (polystyrene, polyurethane, polyethylene, and cross-linked polyethylene) with two algal species (Nannochloropsis oculata and Scendesmus dimorphus) were tested. After 14 days of immobilization, polystyrene foam showed the best cell attachment and was covered by algae cells not only on the outer surface but also inside the porous spaces of the carrier. The cross-linked polyethylene also showed good attachment and growth of algae cells. Between the two algae species, N. oculata showed better cell attachment than S. dimorphus on all four materials indicating that cell characteristics played an important role in cell-surface interactions. The Derjaguin & Landau and Verwey & Overbeek (DLVO) theory was applied to understand the interaction mechanism and predicted attachment trends were found qualitatively accurate in matching the experimental results.
4

Donepudi,, SreeKanth, Christopher D. Porada, Esmail Zanjani und Graça Almeida-Porada. „Abstract 538: Mesenchymal stem cell subset prevents cycling of KG1a leukemic cells by cell-cell interaction“. In Proceedings: AACR 101st Annual Meeting 2010‐‐ Apr 17‐21, 2010; Washington, DC. American Association for Cancer Research, 2010. http://dx.doi.org/10.1158/1538-7445.am10-538.

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Esumi, N., S. Todo und S. Imashuku. „INTERACTION BETWEEN HEMOSTATIC COMPONENTS AND TUMOR CELLS“. In XIth International Congress on Thrombosis and Haemostasis. Schattauer GmbH, 1987. http://dx.doi.org/10.1055/s-0038-1643202.

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Involvement of platelets and coagulation systems in the hematogenous metastasis of tumor cells has been suggested from in vivo and in vitro studies, however, there is still controversy about the exact role of hemostasis in metastasis. To date, at least three types of platelet aggregating mechanisms and three types of tumor cell procoagulants have been reported in different tumor cells.We investigated platelet aggregating activity (PAA), procoagulant activity (PCA) and the relationship between these two activities, using eight human neuroblastoma cell lines, three human leukemia cell lines and human mature lymphocytes. PCA in tumor cells was measured by the single stage recalcification time and the assay with chromogenic substrate S2222. PAA was determined turbidometrically with an aggregometer by adding cell suspensions of tumor cells to platelet rich plasma (PRP). The effects of protease inhibitors, enzymes and thrombin inhibitors on PAA and PCA were also studied.Neuroblastoma cell suspensions showed high PCAs which were reduced in Factor VII deficient human plasma, indicating a tissue factor-like activity. NCG line possessing the highest PCA also showed a high PAA, which was inhibited by pretreatment of cell suspensions with phospholipase A2 and abolished in the presence of heparin, hirudin or MD805 in the assay system. Human leukemia cell lines and mature lymphocytes had weak to moderate PCAs without showing PAA, but became active to express PAA after being removed of cell surface sialic acid by neuraminidase. These results suggest that in neuroblastoma, PCA closely linked with PAA may play a role in the hematogenous metastasis. In hemopoietic cells, PAA expressed when cell surface sialic acid is removed does not correlate with PCA, and sialic acid in these cells possibly prevents direct interaction with platelets in the hemostatic homeostasis.
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Guan, Yingxue, Aili Zhang und Lisa X. Xu. „Study of Interaction Energy Between Nanoparticles and Cell Membrane“. In 2010 14th International Heat Transfer Conference. ASMEDC, 2010. http://dx.doi.org/10.1115/ihtc14-23187.

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Applications of nanoparticles in the bio-medical field like nano-medicine, molecular imaging probes, fluorescence marker, gene carriers, are developing quickly owing to the unique characteristics of nanoparticles. Among these applications, the interaction of nano-particles with the living cells is of critical importance. The complex chemical properties and biological activities of the particles bring about undesirable cytotoxic potentials and special cell internalization. According to previous studies, the cell uptake kinetics of nanoparticles mainly depend on the concentration difference between extracellular and intracellular nanoparticles, the surface electric charge of the nanoparticle, and the active transport of the cell. For example, Ginzburg’s thermodynamic simulation and Park’s three-dimensional phase-field model quantitatively explain the transitions in membrane morphology after exposure to nanoparticles with different surface charge, respectively. However, recent studies have shown that the gold nanoparticles coated with hydrophilic and hydrophobic functional groups with the same concentration but in different orders, completely exhibit quite different intrusion ability at 4°C when the active transport of the cell is greatly inhibited. The results suggest that the interaction energy of nanoparticles and cell membranes may be another driving force for the nanopartcles’ mass transfer across the cell membrane. Thus, in this paper, the interaction energy of the differently coated nanoparticles (P) with cell membrane (M) in water (W) is studied theoretically and results are used to explain the former experimental findings.
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Hashimoto, Shigehiro, und Takashi Yokomizo. „Tracings of Interaction Between Myoblasts Under Shear Flow in Vitro“. In ASME 2021 Fluids Engineering Division Summer Meeting. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/fedsm2021-65203.

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Abstract How does the group of cells make orientation perpendicular to the flow direction? How does contact with an adjacent cell affect the orientation of the cell? The orientation of a cell according to the neighbor cell under shear flow fields has been traced in vitro. A Couette type flow device with parallel discs was manufactured for the cell culture under the controlled constant wall shear stress. Cells (C2C12: mouse myoblast cell line) were cultured on the lower disc while applying the shear flow in the medium by the upper rotating disc. After culture for 24 hours without flow for adhesion of cells, 2 Pa of the constant wall shear stress was continuously applied in the incubator for 7 days. The behavior of each cell was traced by time-lapse images observed by an inverted phase contrast microscope placed in an incubator. The experiment shows the following results quantitatively by parameters: the contact ratio, and the angle between major axes of cells approximated to ellipsoids. As the ratio of the contact length with the adjacent cell to the pericellular length increases in the two-dimensional projection images, the adjacent cells tend to be oriented in parallel with each other.
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Yoshimori, Takashi, Masaki Fukagawa und Hiroshi Takamatsu. „Effect of Cell-to-Surface Interaction on Freeze Tolerance and Osmotic Response of Cells“. In ASME 2008 Summer Bioengineering Conference. American Society of Mechanical Engineers, 2008. http://dx.doi.org/10.1115/sbc2008-192404.

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Cryopreservation of tissues and organs, including artificial organs, could be one of the important steps in the medical service that brings the progress in the tissue engineering to realization. In this case, high viability of cryopreserved cells is critical to recovery after transplantation. In contrast, in the cryosurgery, which is expected to expand its application as a minimally invasive treatment of cancer, malignant cells should be destructed completely to prevent from recurrence. The appropriate freeze-thaw protocol is therefore needed to be established for cryopreservation or cryosurgery depending on specific type of tissues and organs. Although it is determined empirically, the underlying mechanism of cell injury by freezing has been explored for a long time to give a scientific basis of the process. The experiments with a cell suspension showed that the cell injury during slow freezing to a relatively higher sub-zero temperature was attributed to the mechanical stress from the extracellular ice, while the effect of elevated concentration of solutes became more crucial to cell damage at lower temperatures [1]. However, there are some studies that indicates the difference in the freeze tolerance between cell suspensions and attached monolayers, some of which indicated higher susceptibility of monolayers to freezing than cell suspension [2] and the other suggested reverse [3,4]. The goal of our study is thus to validate the difference in freezing injury between isolated cells and tissues that are more important in aforementioned applications and clarify the mechanism. We used cells adhered to a surface as a first simple model of cells in tissues. The cells adhered on a surface at low number density were used to highlight the effect of cell-to-surface interaction without cell-to-cell interactions. In the present study we first demonstrate that the survival of cells adhered on a surface is lower than those in the suspension after a freeze-thaw manipulation. Then the osmotic response to concentration increase was examined to clarify if the extent of dehydration is different between these two types of cells. The cells were observed by a laser confocal scanning microscope that allows real-time 3-D observation.
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Chang, Jiyoung, Sang-Hee Yoon, Mohammad R. K. Mofrad und Liwei Lin. „MEMS-based biological platform for dynamic cell-to-cell interaction characterization“. In 2010 IEEE 23rd International Conference on Micro Electro Mechanical Systems (MEMS). IEEE, 2010. http://dx.doi.org/10.1109/memsys.2010.5442559.

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Furuike, Kaori, Ai Shima, Yuya Morimoto und Shoji Takeuchi. „Pneumatically driven PDMS micropillars for the investigation of cell-cell interaction“. In 2018 IEEE Micro Electro Mechanical Systems (MEMS). IEEE, 2018. http://dx.doi.org/10.1109/memsys.2018.8346555.

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Berichte der Organisationen zum Thema "Cell interaction":

1

Navone, Nora M. Osteoblast-Prostate Cancer Cell Interaction in Prostate Cancer Bone. Fort Belvoir, VA: Defense Technical Information Center, Februar 2000. http://dx.doi.org/10.21236/ada391088.

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2

Diaz-Meco, Maria T. Targeting the Adipocyte-Tumor Cell Interaction in Prostate Cancer Treatment. Fort Belvoir, VA: Defense Technical Information Center, Oktober 2014. http://dx.doi.org/10.21236/ada610957.

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3

Beuneu, Helene, Sandra Demaria und Michael Dustin. Visualizing Breast Cancer Cell Interaction with Tumor-Infiltrating Lymphocytes During Immunotherapy. Fort Belvoir, VA: Defense Technical Information Center, April 2013. http://dx.doi.org/10.21236/ada577265.

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4

Lillard. Jr, James W. CXCL13-CXCR5 Interaction and Prostate Cancer Cell Firm Adhesion and Bone Metastasis. Fort Belvoir, VA: Defense Technical Information Center, September 2007. http://dx.doi.org/10.21236/ada484348.

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5

Weinberg, Andrew D. Tumor Specific CD4+ T-Cell Costimulation Through a Novel Receptor/Ligand Interaction. Fort Belvoir, VA: Defense Technical Information Center, August 1999. http://dx.doi.org/10.21236/ada374764.

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6

Weinberg, Andrew D. Tumor Specific CD4+ T-Cell Costimulation Through a Novel Receptor Ligand Interaction. Fort Belvoir, VA: Defense Technical Information Center, August 1998. http://dx.doi.org/10.21236/ada359629.

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7

Ron, Eliora, und Eugene Eugene Nester. Global functional genomics of plant cell transformation by agrobacterium. United States Department of Agriculture, März 2009. http://dx.doi.org/10.32747/2009.7695860.bard.

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The aim of this study was to carry out a global functional genomics analysis of plant cell transformation by Agrobacterium in order to define and characterize the physiology of Agrobacterium in the acidic environment of a wounded plant. We planed to study the proteome and transcriptome of Agrobacterium in response to a change in pH, from 7.2 to 5.5 and identify genes and circuits directly involved in this change. Bacteria-plant interactions involve a large number of global regulatory systems, which are essential for protection against new stressful conditions. The interaction of bacteria with their hosts has been previously studied by genetic-physiological methods. We wanted to make use of the new capabilities to study these interactions on a global scale, using transcription analysis (transcriptomics, microarrays) and proteomics (2D gel electrophoresis and mass spectrometry). The results provided extensive data on the functional genomics under conditions that partially mimic plant infection and – in addition - revealed some surprising and significant data. Thus, we identified the genes whose expression is modulated when Agrobacterium is grown under the acidic conditions found in the rhizosphere (pH 5.5), an essential environmental factor in Agrobacterium – plant interactions essential for induction of the virulence program by plant signal molecules. Among the 45 genes whose expression was significantly elevated, of special interest is the two-component chromosomally encoded system, ChvG/I which is involved in regulating acid inducible genes. A second exciting system under acid and ChvG/Icontrol is a secretion system for proteins, T6SS, encoded by 14 genes which appears to be important for Rhizobium leguminosarum nodule formation and nitrogen fixation and for virulence of Agrobacterium. The proteome analysis revealed that gamma aminobutyric acid (GABA), a metabolite secreted by wounded plants, induces the synthesis of an Agrobacterium lactonase which degrades the quorum sensing signal, N-acyl homoserine lactone (AHL), resulting in attenuation of virulence. In addition, through a transcriptomic analysis of Agrobacterium growing at the pH of the rhizosphere (pH=5.5), we demonstrated that salicylic acid (SA) a well-studied plant signal molecule important in plant defense, attenuates Agrobacterium virulence in two distinct ways - by down regulating the synthesis of the virulence (vir) genes required for the processing and transfer of the T-DNA and by inducing the same lactonase, which in turn degrades the AHL. Thus, GABA and SA with different molecular structures, induce the expression of these same genes. The identification of genes whose expression is modulated by conditions that mimic plant infection, as well as the identification of regulatory molecules that help control the early stages of infection, advance our understanding of this complex bacterial-plant interaction and has immediate potential applications to modify it. We expect that the data generated by our research will be used to develop novel strategies for the control of crown gall disease. Moreover, these results will also provide the basis for future biotechnological approaches that will use genetic manipulations to improve bacterial-plant interactions, leading to more efficient DNA transfer to recalcitrant plants and robust symbiosis. These advances will, in turn, contribute to plant protection by introducing genes for resistance against other bacteria, pests and environmental stress.
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Sudip K. Mazumder, Chuck McKintyre, Dan Herbison, Doug Nelson, Comas Haynes, Michael von Spakovsky, Joseph Hartvigsen und S. Elangovan. AN INVESTIGATION TO RESOLVE THE INTERACTION BETWEEN FUEL CELL, POWER CONDITIONING SYSTEM AND APPLICATION LOADS. Office of Scientific and Technical Information (OSTI), November 2003. http://dx.doi.org/10.2172/895119.

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9

Sudip K. Mazumder. An Investigation to Resolve the Interaction Between Fuel Cell, Power Conditioning System and Application Loads. US: University Of Illinois, Dezember 2005. http://dx.doi.org/10.2172/899235.

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Citovsky, Vitaly, und Yedidya Gafni. Viral and Host Cell Determinants of Nuclear Import and Export of the Tomato Yellow Leaf Curl Virus in Tomato Plants. United States Department of Agriculture, August 2002. http://dx.doi.org/10.32747/2002.7585200.bard.

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Tomato yellow leaf curl geminivirus (TYLCV) is a major pathogen of cultivated tomato, causing up to 100% crop loss in many parts of the world. In Israel, where TYLCV epidemics have been recorded since the 1960' s, this viral disease is well known and has been of economic significance ever since. In recent years, TYLCV outbreaks also occurred in the "New World" - Cuba, The Dominican Republic, and in the USA, in Florida, Georgia and Louisiana. Thus, TYLCV substantially hinders tomato growth throughout the world. Surprisingly, however, little is known about the molecular mechanisms of TYLCV interaction with the host tomato cells. The present proposal, a continuation of the project supported by BARD from 1994, expanded our understanding of the molecular mechanisms by which TYLCV enters the host cell nucleus for replication and transcription and exits it for the subsequent cell-to-cell spread. Our project sought two objectives: I. To study the roles of the viral capsid protein (CP) and host cell factors in TYLCV nuclear import. II. To study the roles of CP and host cell factors in TYLCV nuclear export. Our research toward these goals have produced the following major achievements: . Developed a one-hybrid assay for protein nuclear export and import (#3 in the List of Publications). . Identified a functional nuclear export signal (NES) in the capsid protein (CP) of TYLCV (#3 in the List of Publications). . Discovered homotypic interactions between intact TYLCV CP molecules and analyzed these interactions using deletion mutagenesis of TYLCV CP (#5 in the List of Publications). . Showed developmental and tissue-specific expression of the host factor required for nuclear import of TYLCV CP, tomato karyopherin alpha 1, in transgenic tomato plants (#14 in the List of Publications). . By analogy to nuclear import of TYLCV ,identified an Arabidopsis VIPI protein that participates in nuclear import of Agrobacterium T -complexes via the karyopherin alpha pathway (#4,6, and 8 in the List of Publications). These research findings provided significant insights into (i) the molecular pathway of TYLCV entry into the host cell nucleus, and (ii) the mechanism by which TYLCV is exported from the nucleus for the cell-to-cell spread of infection. Furthermore, the obtained knowledge will help to develop specific strategies to attenuate TYLCV infection, for example, by blocking viral entry into and/or exit out of the host cell nucleus. Also, as much of our findings is relevant to all geminiviruses, new anti- TYLCV approaches developed based on the results of our research will be useful to combat other members of the Geminivirus family. Finally, in addition to the study of TYLCV nuclear import and export, our research contributed to our understanding of general mechanisms for nucleocytoplasmic shuttling of proteins and nucleic acids in plant cells.

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