Готові списки джерел за темами / Cell interaction

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  2. Дисертації
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Добірка наукової літератури з теми "Cell interaction"

Автор: Grafiati
Опубліковано: 4 червня 2021
Оновлено: 29 липня 2024

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Статті в журналах з теми "Cell interaction"

1

Brückner, David B., Nicolas Arlt, Alexandra Fink, Pierre Ronceray, Joachim O. Rädler, and Chase P. Broedersz. "Learning the dynamics of cell–cell interactions in confined cell migration." Proceedings of the National Academy of Sciences 118, no. 7 (February 12, 2021): e2016602118. http://dx.doi.org/10.1073/pnas.2016602118.

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Анотація:
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.
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2

Ogushi, Fumiko, and 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

Chesterton, C. J. "Cell to cell interaction." FEBS Letters 293, no. 1-2 (November 1, 1991): 229. http://dx.doi.org/10.1016/0014-5793(91)81201-i.

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4

Manimaran, K., Arun Kumar, AvinashGandi D, and 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, no. 1 (January 17, 2018): A1–5. http://dx.doi.org/10.21276/aohdr.1831.

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5

Oropesa-Nuñez, Reinier, Andrea Mescola, Massimo Vassalli, and Claudio Canale. "Impact of Experimental Parameters on Cell–Cell Force Spectroscopy Signature." Sensors 21, no. 4 (February 4, 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.
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6

Hwang, Inkyu, Jing-Feng Huang, Hidehiro Kishimoto, Anders Brunmark, Per A. Peterson, Michael R. Jackson, Charles D. Surh, Zeling Cai, and 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, no. 7 (March 27, 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.
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7

Yuan, Ye, Carlos Cosme, Taylor Sterling Adams, Jonas Schupp, Koji Sakamoto, Nikos Xylourgidis, Matthew Ruffalo, Jiachen Li, Naftali Kaminski, and Ziv Bar-Joseph. "CINS: Cell Interaction Network inference from Single cell expression data." PLOS Computational Biology 18, no. 9 (September 12, 2022): e1010468. http://dx.doi.org/10.1371/journal.pcbi.1010468.

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Анотація:
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.
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8

Okuyama, Akihiko. "INTRATESTICULAR CELL TO CELL INTERACTION." Japanese Journal of Urology 83, no. 7 (1992): 1027–35. http://dx.doi.org/10.5980/jpnjurol1989.83.1027.

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9

Yamasaki, Hiroshi. "Cell-Cell Interaction and Carcinogenesis." Toxicologic Pathology 14, no. 3 (April 1986): 363–69. http://dx.doi.org/10.1177/019262338601400313.

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10

Lin, Yingxin, Lipin Loo, Andy Tran, David M. Lin, Cesar Moreno, Daniel Hesselson, G. Gregory Neely, and Jean Y. H. Yang. "Scalable workflow for characterization of cell-cell communication in COVID-19 patients." PLOS Computational Biology 18, no. 10 (October 5, 2022): e1010495. http://dx.doi.org/10.1371/journal.pcbi.1010495.

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COVID-19 patients display a wide range of disease severity, ranging from asymptomatic to critical symptoms with high mortality risk. Our ability to understand the interaction of SARS-CoV-2 infected cells within the lung, and of protective or dysfunctional immune responses to the virus, is critical to effectively treat these patients. Currently, our understanding of cell-cell interactions across different disease states, and how such interactions may drive pathogenic outcomes, is incomplete. Here, we developed a generalizable and scalable workflow for identifying cells that are differentially interacting across COVID-19 patients with distinct disease outcomes and use this to examine eight public single-cell RNA-seq datasets (six from peripheral blood mononuclear cells, one from bronchoalveolar lavage and one from nasopharyngeal), with a total of 211 individual samples. By characterizing the cell-cell interaction patterns across epithelial and immune cells in lung tissues for patients with varying disease severity, we illustrate diverse communication patterns across individuals, and discover heterogeneous communication patterns among moderate and severe patients. We further illustrate patterns derived from cell-cell interactions are potential signatures for discriminating between moderate and severe patients. Overall, this workflow can be generalized and scaled to combine multiple scRNA-seq datasets to uncover cell-cell interactions.
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Дисертації з теми "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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2

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, and 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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4

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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Анотація:
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.
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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.
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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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Анотація:
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).
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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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9

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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Анотація:
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.
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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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Книги з теми "Cell interaction"

1

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

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2

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

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3

C, De Mello Walmor, ed. Cell intercommunication. Boca Raton, Fla: CRC Press, 1989.

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4

1936-, Gerhart John, ed. Cell-cell interactions in early development. New York: Wiley-Liss, 1991.

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5

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

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6

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

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7

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

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8

C, De Mello Walmor, ed. Cell intercommunication. Boca Raton, Fla: CRC Press, 1990.

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9

Johnson, A. Wagoner. Mechanobiology of Cell-Cell and Cell-Matrix Interactions. Boston, MA: Springer Science+Business Media, LLC, 2011.

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10

K, Messmer, ed. Capillary functions and white cell interaction. Basel: Karger, 1991.

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Частини книг з теми "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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2

Deutsch, Andreas, and 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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3

Buitrago, Jennifer O., Begoña M. Bosch, and Román A. Pérez. "Cell-Materials Interaction." In Stem Cell Biology and Regenerative Medicine, 239–58. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-35832-6_8.

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4

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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5

Gabison, Eric, Farah Khayati, Samia Mourah, and 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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6

Lucas, W. J., S. Wolf, C. M. Deom, G. M. Kishore, and 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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7

Pavelka, Margit, and 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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8

Hayes, J. S., E. M. Czekanska, and 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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Balfour, B. M., L. Buttifant, J. O’Brien, J. Clarke, and 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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Sazeides, Christos, and 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].
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Тези доповідей конференцій з теми "Cell interaction"

1

Reynaud, J. A., A. Brack, J. P. Grivet, and 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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2

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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3

Yuan, Wenqiao Wayne, Yan Cui, and 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.
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4

Donepudi,, SreeKanth, Christopher D. Porada, Esmail Zanjani, and 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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5

Esumi, N., S. Todo, and 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, and 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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7

Hashimoto, Shigehiro, and 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, and 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, and 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, and 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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Звіти організацій з теми "Cell interaction"

1

Navone, Nora M. Osteoblast-Prostate Cancer Cell Interaction in Prostate Cancer Bone. Fort Belvoir, VA: Defense Technical Information Center, February 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, October 2014. http://dx.doi.org/10.21236/ada610957.

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3

Beuneu, Helene, Sandra Demaria, and 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, and Eugene Eugene Nester. Global functional genomics of plant cell transformation by agrobacterium. United States Department of Agriculture, March 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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Citovsky, Vitaly, and 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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Barg, Rivka, Erich Grotewold, and Yechiam Salts. Regulation of Tomato Fruit Development by Interacting MYB Proteins. United States Department of Agriculture, January 2012. http://dx.doi.org/10.32747/2012.7592647.bard.

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Background to the topic: Early tomato fruit development is executed via extensive cell divisions followed by cell expansion concomitantly with endoreduplication. The signals involved in activating the different modes of growth during fruit development are still inadequately understood. Addressing this developmental process, we identified SlFSM1 as a gene expressed specifically during the cell-division dependent stages of fruit development. SlFSM1 is the founder of a class of small plant specific proteins containing a divergent SANT/MYB domain (Barg et al 2005). Before initiating this project, we found that low ectopic over-expression (OEX) of SlFSM1 leads to a significant decrease in the final size of the cells in mature leaves and fruits, and the outer pericarp is substantially narrower, suggesting a role in determining cell size and shape. We also found the interacting partners of the Arabidopsis homologs of FSM1 (two, belonging to the same family), and cloned their tomato single homolog, which we named SlFSB1 (Fruit SANT/MYB–Binding1). SlFSB1 is a novel plant specific single MYB-like protein, which function was unknown. The present project aimed at elucidating the function and mode of action of these two single MYB proteins in regulating tomato fruit development. The specific objectives were: 1. Functional analysis of SlFSM1 and its interacting protein SlFSB1 in relation to fruit development. 2. Identification of the SlFSM1 and/or SlFSB1 cellular targets. The plan of work included: 1) Detailed phenotypic, histological and cellular analyses of plants ectopically expressing FSM1, and plants either ectopically over-expressing or silenced for FSB1. 2) Extensive SELEX analysis, which did not reveal any specific DNA target of SlFSM1 binding, hence the originally offered ChIP analysis was omitted. 3) Genome-wide transcriptional impact of gain- and loss- of SlFSM1 and SlFSB1 function by Affymetrix microarray analyses. This part is still in progress and therefore results are not reported, 4) Search for additional candidate partners of SlFSB1 revealed SlMYBI to be an alternative partner of FSB1, and 5) Study of the physical basis of the interaction between SlFSM1 and SlFSB1 and between FSB1 and MYBI. Major conclusions, solutions, achievements: We established that FSM1 negatively affects cell expansion, particularly of those cells with the highest potential to expand, such as the ones residing inner to the vascular bundles in the fruit pericarp. On the other hand, FSB1 which is expressed throughout fruit development acts as a positive regulator of cell expansion. It was also established that besides interacting with FSM1, FSB1 interacts also with the transcription factor MYBI, and that the formation of the FSB1-MYBI complex is competed by FSM1, which recognizes in FSB1 the same region as MYBI does. Based on these findings a model was developed explaining the role of this novel network of the three different MYB containing proteins FSM1/FSB1/MYBI in the control of tomato cell expansion, particularly during fruit development. In short, during early stages of fruit development (Phase II), the formation of the FSM1-FSB1 complex serves to restrict the expansion of the cells with the greatest expansion potential, those non-dividing cells residing in the inner mesocarp layers of the pericarp. Alternatively, during growth phase III, after transcription of FSM1 sharply declines, FSB1, possibly through complexing with the transcription factor MYBI serves as a positive regulator of the differential cell expansion which drives fruit enlargement during this phase. Additionally, a novel mechanism was revealed by which competing MYB-MYB interactions could participate in the control of gene expression. Implications, both scientific and agricultural: The demonstrated role of the FSM1/FSB1/MYBI complex in controlling differential cell growth in the developing tomato fruit highlights potential exploitations of these genes for improving fruit quality characteristics. Modulation of expression of these genes or their paralogs in other organs could serve to modify leaf and canopy architecture in various crops.
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10

Manulis, Shulamit, Christine D. Smart, Isaac Barash, Guido Sessa, and Harvey C. Hoch. Molecular Interactions of Clavibacter michiganensis subsp. michiganensis with Tomato. United States Department of Agriculture, January 2011. http://dx.doi.org/10.32747/2011.7697113.bard.

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Clavibacter michiganensis subsp. michiganensis (Cmm), the causal agent of bacterial wilt and canker of tomato, is the most destructive bacterial disease of tomato causing substantial economic losses in Israel, the U.S.A. and worldwide. The molecular strategies that allow Cmm, a Gram-positive bacterium, to develop a successful infection in tomato plants are largely unknown. The goal of the project was to elucidate the molecular interactions between Cmmand tomato. The first objective was to analyze gene expression profiles of susceptible tomato plants infected with pathogenic and endophytic Cmmstrains. Microarray analysis identified 122 genes that were differentially expressed during early stages of infection. Cmm activated typical basal defense responses in the host including induction of defense-related genes, production of scavenging of free oxygen radicals, enhanced protein turnover and hormone synthesis. Proteomic investigation of the Cmm-tomato interaction was performed with Multi-Dimensional Protein Identification Technology (MudPIT) and mass spectroscopy. A wide range of enzymes secreted by Cmm382, including cell-wall degrading enzymes and a large group of serine proteases from different families were identified in the xylem sap of infected tomato. Based on proteomic results, the expression pattern of selected bacterial virulence genes and plant defense genes were examined by qRT-PCR. Expression of the plasmid-borne cellulase (celA), serine protease (pat-1) and serine proteases residing on the chp/tomA pathogenicity island (chpCandppaA), were significantly induced within 96 hr after inoculation. Transcription of chromosomal genes involved in cell wall degradation (i.e., pelA1, celB, xysA and xysB) was also induced in early infection stages. The second objective was to identify by VIGS technology host genes affecting Cmm multiplication and appearance of disease symptoms in plant. VIGS screening showed that out of 160 tomato genes, which could be involved in defense-related signaling, suppression of 14 genes led to increase host susceptibility. Noteworthy are the genes Snakin-2 (inhibitor of Cmm growth) and extensin-like protein (ELP) involved in cell wall fortification. To further test the significance of Snakin -2 and ELP in resistance towards Cmm, transgenic tomato plants over-expressing the two genes were generated. These plants showed partial resistance to Cmm resulting in a significant delay of the wilt symptoms and reduction in size of canker lesion compared to control. Furthermore, colonization of the transgenic plants was significantly lower. The third objective was to assess the involvement of ethylene (ET), jasmonate (JA) and salicylic acid (SA) in Cmm infection. Microarray and proteomic studies showed the induction of enzymes involved in ET and JA biosynthesis. Cmm promoted ET production 8 days after inoculation and SIACO, a key enzyme of ET biosynthesis, was upregulated. Inoculation of the tomato mutants Never ripe (Nr) impaired in ET perception and transgenic plants with reduced ET synthesis significantly delayed wilt symptoms as compared to the wild-type plants. The retarded wilting in Nr plants was shown to be a specific effect of ET insensitivity and was not due to altered expression of defense related genes, reduced bacterial population or decrease in ethylene biosynthesis . In contrast, infection of various tomato mutants impaired in JA biosynthesis (e.g., def1, acx1) and JA insensitive mutant (jai1) yielded unequivocal results. The fourth objective was to determine the role of cell wall degrading enzymes produced by Cmm in xylem colonization and symptoms development. A significance increase (2 to 7 fold) in expression of cellulases (CelA, CelB), pectate lyases (PelA1, PelA2), polygalacturonase and xylanases (XylA, XylB) was detected by qRT-PCR and by proteomic analysis of the xylem sap. However, with the exception of CelA, whose inactivation led to reduced wilt symptoms, inactivation of any of the other cell wall degrading enzymes did not lead to reduced virulence. Results achieved emphasized the complexity involved in Cmm-tomato interactions. Nevertheless they provide the basis for additional research which will unravel the mechanism of Cmm pathogenicity and formulating disease control measures.
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