Academic literature on the topic 'Tissues'

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Journal articles on the topic "Tissues"

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Bakhshandeh, Behnaz, Payam Zarrintaj, Mohammad Omid Oftadeh, Farid Keramati, Hamideh Fouladiha, Salma Sohrabi-jahromi, and Zarrintaj Ziraksaz. "Tissue engineering; strategies, tissues, and biomaterials." Biotechnology and Genetic Engineering Reviews 33, no. 2 (July 3, 2017): 144–72. http://dx.doi.org/10.1080/02648725.2018.1430464.

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Somepalli, Gowthami, Sarthak Sahoo, Arashdeep Singh, and Sridhar Hannenhalli. "Prioritizing and characterizing functionally relevant genes across human tissues." PLOS Computational Biology 17, no. 7 (July 16, 2021): e1009194. http://dx.doi.org/10.1371/journal.pcbi.1009194.

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Knowledge of genes that are critical to a tissue’s function remains difficult to ascertain and presents a major bottleneck toward a mechanistic understanding of genotype-phenotype links. Here, we present the first machine learning model–FUGUE–combining transcriptional and network features, to predict tissue-relevant genes across 30 human tissues. FUGUE achieves an average cross-validation auROC of 0.86 and auPRC of 0.50 (expected 0.09). In independent datasets, FUGUE accurately distinguishes tissue or cell type-specific genes, significantly outperforming the conventional metric based on tissue-specific expression alone. Comparison of tissue-relevant transcription factors across tissue recapitulate their developmental relationships. Interestingly, the tissue-relevant genes cluster on the genome within topologically associated domains and furthermore, are highly enriched for differentially expressed genes in the corresponding cancer type. We provide the prioritized gene lists in 30 human tissues and an open-source software to prioritize genes in a novel context given multi-sample transcriptomic data.
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Apa, Ludovica, Marianna Cosentino, Flavia Forconi, Antonio Musarò, Emanuele Rizzuto, and Zaccaria Del Prete. "The Development of an Innovative Embedded Sensor for the Optical Measurement of Ex-Vivo Engineered Muscle Tissue Contractility." Sensors 22, no. 18 (September 12, 2022): 6878. http://dx.doi.org/10.3390/s22186878.

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Tissue engineering is a multidisciplinary approach focused on the development of innovative bioartificial substitutes for damaged organs and tissues. For skeletal muscle, the measurement of contractile capability represents a crucial aspect for tissue replacement, drug screening and personalized medicine. To date, the measurement of engineered muscle tissues is rather invasive and not continuous. In this context, we proposed an innovative sensor for the continuous monitoring of engineered-muscle-tissue contractility through an embedded technique. The sensor is based on the calibrated deflection of one of the engineered tissue’s supporting pins, whose movements are measured using a noninvasive optical method. The sensor was calibrated to return force values through the use of a step linear motor and a micro-force transducer. Experimental results showed that the embedded sensor did not alter the correct maturation of the engineered muscle tissue. Finally, as proof of concept, we demonstrated the ability of the sensor to capture alterations in the force contractility of the engineered muscle tissues subjected to serum deprivation.
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Tezcaner, A., G. Köse, and V. Hasırcı. "Fundamentals of tissue engineering: Tissues and applications." Technology and Health Care 10, no. 3-4 (July 8, 2002): 203–16. http://dx.doi.org/10.3233/thc-2002-103-406.

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Patil, Amol Somaji, Yash Merchant, and Preethi Nagarajan. "Tissue Engineering of Craniofacial Tissues – A Review." journal of Regenerative Medicine and Tissue Engineering 2, no. 1 (2013): 6. http://dx.doi.org/10.7243/2050-1218-2-6.

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Duance, Vic. "Connective tissue: Get connected with connective tissues." Biochemist 25, no. 5 (October 1, 2003): 7–10. http://dx.doi.org/10.1042/bio02505007.

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Leong, Ivone. "New tissue processing technique for adipose tissues." Nature Reviews Endocrinology 14, no. 3 (January 29, 2018): 128. http://dx.doi.org/10.1038/nrendo.2018.8.

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Yoshizato, Katsutoshi. "Tissue reconstitution: metamorphosis, regeneration, and artificial tissues." Wound Repair and Regeneration 6, no. 4 (July 1998): 273–75. http://dx.doi.org/10.1046/j.1524-475x.1998.60403.x.

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Villar, Cristina C., and David L. Cochran. "Regeneration of Periodontal Tissues: Guided Tissue Regeneration." Dental Clinics of North America 54, no. 1 (January 2010): 73–92. http://dx.doi.org/10.1016/j.cden.2009.08.011.

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Rickles, Richard J., and Sidney Strickland. "Tissue plasminogen activator mRNA in murine tissues." FEBS Letters 229, no. 1 (February 29, 1988): 100–106. http://dx.doi.org/10.1016/0014-5793(88)80806-8.

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Dissertations / Theses on the topic "Tissues"

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Moreau, Jodie E. "Stimulation of bone marrow stromal cells in the development of tissue engineered ligaments /." Thesis, Connect to Dissertations & Theses @ Tufts University, 2005.

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Thesis (Ph.D.)--Tufts University, 2005.
Adviser: Gregory H. Altman. Submitted to the Dept. of Biology--Biotechnology. Includes bibliographical references (leaves 183-192). Access restricted to members of the Tufts University community. Also available via the World Wide Web;
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Deiuliis, Jeffrey Alan. "The metabolic and molecular regulation of adipose triglyceride lipase." Columbus, Ohio : Ohio State University, 2007. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1185546165.

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Craddock, Russell. "Structural characterisation of aggrecan in cartilaginous tissues and tissue engineered constructs." Thesis, University of Manchester, 2018. https://www.research.manchester.ac.uk/portal/en/theses/structural-characterisation-of-aggrecan-in-cartilaginous-tissues-and-tissue-engineered-constructs(d1e72d1e-b0ac-4485-9a05-030a5faf8351).html.

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Collagen II and the proteoglycan aggrecan are key extracellular matrix (ECM) proteins in cartilaginous tissues such as the intervertebral disc (IVD). Given the functional role that these structural and functional proteins have in the IVD, ECM in tissue engineered intervertebral disc (TE IVD) constructs needs to recapitulate native tissue. As such, there is a need to understand the structure and mechanical function of these molecules in native tissue to inform TE strategies. The aims here were to characterise aggrecan and collagen II using atomic force microscopy (AFM), size-exclusion chromatography multi angle light scattering (SEC-MALS), histology, quantitative PCR, nanomechanical and computational modelling in: (i) skeletally immature and mature bovine articular cartilage (AC) and nucleus pulposus (NP), (ii) TE IVD constructs cultured in hypoxia or treated with transforming growth factor beta [TGFÎ23] or growth differentiation factor [GDF6]), and (iii) porcine AC and NP tissue. No variation in collagen II structure was observed although the proportion of organised fibrillar collagen varied between tissues. Both intact (containing all three globular domains) and non-intact (fragmented) aggrecan monomers were isolated from both AC and IVD and TE IVD constructs. Mature intact native NP aggrecan was ~60 nm shorter (core protein length) compared to AC. In skeletally mature bovine NP and AC tissue, most aggrecan monomers were fragmented (99% and 95%, respectively) with fragments smaller and more structurally heterogeneous in NP. Similar fragmentation was observed in skeletally immature bovine AC (99.5%), indicating fragmentation occurs developmentally at an early age. Fragmentation was not a result of enhanced gelatinase activity. Aggrecan monomers isolated from notochordal cell rich porcine NP were also highly fragmented, similar to bovine NP. Application of a computational packing model suggested fragmentation may affect porosity and nutrient transfer. The reduced modulus was greater in AC than NP (497 kPa and 76.7 kPa, respectively) with the difference likely due to the organisation and abundance of ECM molecules, rather than individual structure. Growth factors (GDF6 and TGFÎ23), and not oxygen tension treated TE IVD constructs were structurally (with >95% fragmented monomers), histologically and mechanically (GDF6: 60.2 kPa; TGFÎ23; 69.9 kPa) similar to native NP tissue (76.7 kPa) and there was evidence of gelatinase activity. To conclude, these results show that the ultrastructure of intact aggrecan was tissue and cell dependent, and could be modified by manipulation of cell culture conditions, specifically GDF6 which may play a role in aggrecan glycosylation.
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Li, Zhaohui. "Monitoring biological functions of cultured tissues using microdialysis." Thesis, University of Oxford, 2007. http://ora.ox.ac.uk/objects/uuid:f8b478fa-881e-4299-9ee5-b8ee29f37fe9.

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Continuous monitoring during tissue culture is important for the success of engineered tissue development. It is also challenging due to lack of suitable established monitoring techniques. In this study, microdialysis, a sampling technique for measuring the unbound solute concentrations in the tissues and organs of the living body, was adopted to monitor functional tissue growth in a bioreactor with explanted bovine caudal intervertebral discs (IVD) as the test tissue. Apart from cell metabolic activities, cell and tissue biological functions were investigated for the development of microdialysis for monitoring purposes. Methodologies of microdialysis with large pore size membrane probes for sampling macromolecular bio-functional markers were established. The effects of pumping methods, including 'push', 'pull' or 'push-and-pull', and the effect of the resulting transmembrane pressure on the fluid balance, and the relative recovery of small molecules and of macromolecules (proteins) were experimentally studied. The validity of the internal reference in-situ calibration was examined in detail. It was concluded that a push-and-pull system was the only effective method to eliminate fluid loss or gain. The relative recovery of small solutes was hardly affected by the applied pumping methods; however the relative recovery of macromolecules was significantly influenced by them. The in situ calibration technique using Phenol Red can provide reliable results for small molecules including glucose and lactic acid. Using lOkDa and 70kDa fluorescent dextrans as the internal standard for in situ calibration of large molecules of similar size, it was found that the pull pump system did not work well but that the push-and-pull pumping method did work well. A novel bioreactor system for in vitro IVD culture with static load and microdialysis monitoring was developed. Explanted IVDs were cultured under three different loads for up to 7 days. A single microdialysis probe with 3000 kDa membrane was inserted into each of the IVDs at a defined location. The in situ calibration technique was proved valid in the experiments and membrane fouling was not significant. The tissue metabolism and extracellular matrix turnover during 7 day culture were continuously monitored to investigate the effect of different loads. Microdialysis proved to be a feasible and efficient method for multi-parameter monitoring of tissue culture. Substantial effort was directed towards the identification of functional macromolecular markers in conjunction with microdialysis sampling. Amongst several proteins sampled, chitinase-3-like protein 1 (CHI3L1), a major soluble protein secreted by cultured IVD cells in alginate beads and by cultured IVD explants was identified following its successful isolation. Then it was established as a suitable functional marker. The effect of physico-chemical and mechanical stimuli (e.g. osmolarity, pH, oxygen tension and mechanical load) on secretion of CHI3L1 by cultured IVD cells and chondrocytes in alginate beads and by cultured IVD explant were investigated. CHI3L1 release was sensitive to physico-chemical stimulation. The production of CHI3L1 was directly correlated with the cell metabolism and this could be readily monitored with microdialysis.
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Kalcioglu, Zeynep Ilke. "Mechanical behavior of tissue simulants and soft tissues under extreme loading conditions." Thesis, Massachusetts Institute of Technology, 2013. http://hdl.handle.net/1721.1/79558.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Materials Science and Engineering, 2013.
Cataloged from PDF version of thesis.
Includes bibliographical references (p. 157-168).
Recent developments in computer-integrated surgery and in tissue-engineered constructs necessitate advances in experimental and analytical techniques in characterizing properties of mechanically compliant materials such as gels and soft tissues, particularly for small sample volumes. One goal of such developments is to quantitatively predict and mimic tissue deformation due to high rate impact events typical of industrial accidents and ballistic insults. This aim requires advances in mechanical characterization to establish tools and design principles for tissue simulant materials that can recapitulate the mechanical responses of hydrated soft tissues under dynamic contact-loading conditions. Given this motivation, this thesis studies the mechanical properties of compliant synthetic materials developed for tissue scaffold applications and of soft tissues, via modifying an established contact based technique for accurate, small scale characterization under fully hydrated conditions, and addresses some of the challenges in the implementation of this method. Two different engineered material systems composed of physically associating block copolymer gels, and chemically crosslinked networks including a solvent are presented as potential tissue simulants for ballistic applications, and compared directly to soft tissues from murine heart and liver. In addition to conventional quasistatic and dynamic bulk mechanical techniques that study macroscale elastic and viscoelastic properties, new methodologies are developed to study the small scale mechanical response of the aforementioned material systems to concentrated impact loading. The resistance to penetration and the energy dissipative constants are quantified in order to compare the deformation of soft tissues and mechanically optimized simulants, and to identify the underlying mechanisms by which the mechanical response of these tissue simulant candidates are modulated. Finally, given that soft tissues are biphasic in nature, atomic force microscopy enabled load relaxation experiments are utilized to develop approaches to distinguish between poroelastic and viscoelastic regimes, and to study how the anisotropy of the tissue structure affects elastic and transport properties, in order to inform the future design of tissue simulant gels that would mimic soft tissue response.
by Zeynep Ilke Kalcioglu.
Ph.D.
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Carlson, Grady E. "Dynamic Biochemical Tissue Analysis of L-selectin Ligands on Colon Cancer Tissues." Ohio University / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1343932605.

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Ueda, Yuichiro. "Application of Tissue Engineering with Xenogenic Cells and Tissues for Regenerative Medicine." 京都大学 (Kyoto University), 2004. http://hdl.handle.net/2433/147657.

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Merkel, Matthias. "From cells to tissues." Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2014. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-156597.

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An essential prerequisite for the existence of multi-cellular life is the organization of cells into tissues. In this thesis, we theoretically study how large-scale tissue properties can emerge from the collective behavior of individual cells. To this end, we focus on the properties of epithelial tissue, which is one of the major tissue types in animals. We study how rheological properties of epithelia emerge from cellular processes, and we develop a physical description for the dynamics of an epithelial cell polarity. We apply our theoretical studies to observations in the developing wing of the fruit fly, Drosophila melanogaster. In order to study epithelial mechanics, we first develop a geometrical framework that rigorously describes the deformation of two-dimensional cellular networks. Our framework decomposes large-scale deformation into cellular contributions. For instance, we show how large-scale tissue shear decomposes into contributions by cell shape changes and into contributions by different kinds of topological transitions. We apply this framework in order to quantify the time-dependent deformation of the fruit fly wing, and to decompose it into cellular contributions. We also use this framework as a basis to study large-scale rheological properties of epithelia and their dependence on cellular fluctuations. To this end, we represent epithelial tissues by a vertex model, which describes cells as elastic polygons. We extend the vertex model by introducing fluctuations on the cellular scale, and we develop a method to perform perpetual simple shear simulations. Analyzing the steady state of such simple shear simulations, we find that the rheological behavior of vertex model tissue depends on the fluctuation amplitude. For small fluctuation amplitude, it behaves like a plastic material, and for high fluctuation amplitude, it behaves like a visco-elastic fluid. In addition to analyzing mechanical properties, we study the reorientation of an epithelial cell polarity. To this end, we develop a simple hydrodynamic description for polarity reorientation. In particular, we account for polarity reorientation by tissue shear, by another polarity field, and by local polarity alignment. Furthermore, we develop methods to quantify polarity patterns based on microscopical images of the fly wing. We find that our hydrodynamic description does not only account for polarity reorientation in wild type fly wings. Moreover, it is for the first time possible to also account for the observed polarity patterns in a number of genetically altered flies
Eine wesentliche Voraussetzung für die Existenz mehrzelligen Lebens ist, dass sich einzelne Zellen sinnvoll zu Geweben ergänzen können. In dieser Dissertation untersuchen wir, wie großskalige Eigenschaften von Geweben aus dem kollektiven Verhalten einzelner Zellen hervorgehen. Dazu konzentrieren wir uns auf Epitheliengewebe, welches eine der Grundgewebearten in Tieren darstellt. Wir stellen theoretische Untersuchungen zu rheologischen Eigenschaften und zu zellulärer Polarität von Epithelien an. Diese theoretischen Untersuchungen vergleichen wir mit experimentellen Beobachtungen am sich entwickelnden Flügel der schwarzbäuchigen Taufliege (Drosophila melanogaster). Um die Mechanik von Epithelien zu untersuchen, entwickeln wir zunächst eine geometrische Beschreibung für die Verformung von zweidimensionalen zellulären Netzwerken. Unsere Beschreibung zerlegt die mittlere Verformung des gesamten Netzwerks in zelluläre Beitrage. Zum Beispiel wird eine Scherverformung des gesamten Netzwerks auf der zellulären Ebene exakt repräsentiert: einerseits durch die Verformung einzelner Zellen und andererseits durch topologische Veränderungen des zellulären Netzwerks. Mit Hilfe dieser Beschreibung quantifizieren wir die Verformung des Fliegenflügels während des Puppenstadiums. Des Weiteren führen wir die Verformung des Flügels auf ihre zellulären Beiträge zurück. Wir nutzen diese Beschreibung auch als Ausgangspunkt, um effektive rheologische Eigenschaften von Epithelien in Abhängigkeit von zellulären Fluktuationen zu untersuchen. Dazu simulieren wir Epithelgewebe mittels eines Vertex Modells, welches einzelne Zellen als elastische Polygone abstrahiert. Wir erweitern dieses Vertex Modell um zelluläre Fluktuationen und um die Möglichkeit, Schersimulationen beliebiger Dauer durchzuführen. Die Analyse des stationären Zustands dieser Simulationen ergibt plastisches Verhalten bei kleiner Fluktuationsamplitude und visko-elastisches Verhalten bei großer Fluktuationsamplitude. Neben mechanischen Eigenschaften untersuchen wir auch die Umorientierung einer Zellpolarität in Epithelien. Dazu entwickeln wir eine einfache hydrodynamische Beschreibung für die Umorientierung eines Polaritätsfeldes. Wir berücksichtigen dabei insbesondere Effekte durch Scherung, durch ein anderes Polaritätsfeld und durch einen lokalen Gleichrichtungseffekt. Um unsere theoretische Beschreibung mit experimentellen Daten zu vergleichen, entwickeln wir Methoden um Polaritätsmuster im Fliegenflügel zu quantifizieren. Schließlich stellen wir fest, dass unsere hydrodynamische Beschreibung in der Tat beobachtete Polaritätsmuster reproduziert. Das gilt nicht nur im Wildtypen, sondern auch in genetisch veränderten Tieren
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Musson, David. "Adrenomedullin in dental tissues." Thesis, University of Birmingham, 2010. http://etheses.bham.ac.uk//id/eprint/794/.

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Tooth development is complex and dependent on epithelial-mesenchymal interactions involving key molecular signalling pathways. Preliminary data indicate that the pleiotropic growth factor adrenomedullin (ADM) is expressed during tooth development. Furthermore, in osteoblasts, cells which share structural and functional similarities to odontoblasts, ADM increases proliferation in vitro and can promote mineralised bone volume and strength in vivo. Immunohistochemical analysis of ADM demonstrated expression during key stages in tooth development in particular in cells responsible for signalling odontoblast differentiation and subsequently in secretory odontoblasts. Similarities with the temporo-spatial expression profile of TGF-β1 were also observed. In vitro analysis using the developmentally derived dental cell lines, MDPC-23 and OD-21, demonstrated ADM stimulated a biphasic response in dental cell numbers with peak stimulation at 10-11M and that it stimulated mineral deposition at levels comparable to that of the known mineralising agent dexamethasone. Analysis of tooth tissue volume and key mandibular measurements in Swiss mice systemically treated with ADM using techniques including micro-Computer Tomography did not identify significant differences in craniofacial mineralised tissue structures compared to sham treated controls. The data presented here along with the known pleiotropic properties of ADM indicate it may be an important regulator of tooth development particularly in the processes of cell proliferation, differentiation and mineralisation. However, in adult animals systemic ADM supplementation appears to have limited affect on mandibular bone and dentine synthesis.
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Rosahl, Agnes Lioba. "How tissues tell time." Doctoral thesis, Humboldt-Universität zu Berlin, Mathematisch-Naturwissenschaftliche Fakultät I, 2015. http://dx.doi.org/10.18452/17113.

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Durch ihren Einfluß auf die Genexpression reguliert die zirkadiane Uhr physiologische Funktionen vieler Organe. Obwohl der zugrundeliegende allgemeine Uhrmechanismus gut untersucht ist, bestehen noch viele Unklarheiten über die gewebespezifische Regulation zirkadianer Gene. Neben ihrer gemeinsamen 24-h-Periode im Expressionsmuster unterscheiden diese sich darin, zu welcher Tageszeit sie am höchsten exprimiert sind und in welchem Gewebe sie oszillieren. Mittels Überrepräsentationsanalyse lassen sich Bindungsstellen von Transkriptionsfaktoren identifizieren, die an der Regulation ähnlich exprimierter Gene beteiligt sind. Um diese Methode auf zirkadiane Gene anzuwenden, ist es nötig, Untergruppen ähnlich exprimierter Gene genau zu definieren und Vergleichsgene passend auszuwählen. Eine hierarchische Methode zur Kontrolle der FDR hilft, aus der daraus entstehenden Menge vieler Untergruppenvergleiche signifikante Ergebnisse zu filtern. Basierend auf mit Microarrays gemessenen Zeitreihen wurde durch Promotoranalyse die gewebespezifische Regulation von zirkadianen Genen zweier Zelltypen in Mäusen untersucht. Bindungsstellen der Transkriptionsfaktoren CLOCK:BMAL1, NF-Y und CREB fanden sich in beiden überrepräsentiert. Diesen verwandte Transkriptionsfaktoren mit spezifischen Komplexierungsdomänen binden mit unterschiedlicher Stärke an Motivvarianten und arrangieren dabei Interaktionen mit gewebespezifischeren Regulatoren (z.B. HOX, GATA, FORKHEAD, REL, IRF, ETS Regulatoren und nukleare Rezeptoren). Vermutlich beeinflußt dies den Zeitablauf der Komplexbildung am Promotor zum Transkriptionsstart und daher auch gewebespezifische Transkriptionsmuster. In dieser Hinsicht sind der Gehalt an Guanin (G) und Cytosin (C) sowie deren CpG-Dinukleotiden wichtige Promotoreigenschaften, welche die Interaktionswahrscheinlichkeit von Transkriptionsfaktoren steuern. Grund ist, daß die Affinitäten, mit denen Regulatoren zu Promotoren hingezogen werden, von diesen Sequenzeigenschaften abhängen.
A circadian clock in peripheral tissues regulates physiological functions through gene expression timing. However, despite the common and well studied core clock mechanism, understanding of tissue-specific regulation of circadian genes is marginal. Overrepresentation analysis is a tool to detect transcription factor binding sites that might play a role in the regulation of co-expressed genes. To apply it to circadian genes that do share a period of about 24 hours, but differ otherwise in peak phase timing and tissue-specificity of their oscillation, clear definition of co-expressed gene subgroups as well as the appropriate choice of background genes are important prerequisites. In this setting of multiple subgroup comparisons, a hierarchical method for false discovery control reveals significant findings. Based on two microarray time series in mouse macrophages and liver cells, tissue-specific regulation of circadian genes in these cell types is investigated by promoter analysis. Binding sites for CLOCK:BMAL1, NF-Y and CREB transcription factors are among the common top candidates of overrepresented motifs. Related transcription factors of BHLH and BZIP families with specific complexation domains bind to motif variants with differing strengths, thereby arranging interactions with more tissue-specific regulators (e.g. HOX, GATA, FORKHEAD, REL, IRF, ETS regulators and nuclear receptors). Presumably, this influences the timing of pre-initiation complexes and hence tissue-specific transcription patterns. In this respect, the content of guanine (G) and cytosine (C) bases as well as CpG dinucleotides are important promoter properties directing the interaction probability of regulators, because affinities with which transcription factors are attracted to promoters depend on these sequence characteristics.
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Books on the topic "Tissues"

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O, Phillips Glyn, ed. Advances in tissue banking. Singapore: World Scientific, 1997.

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Anthony, Cryer, and Van R. L. R, eds. New perspectives in adipose tissue: Structure, function, and development. London: Butterworths, 1985.

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Hughes, Graham R. V. Connective tissue diseases. 4th ed. Oxford: Blackwell Scientific Publications, 1994.

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United States. Congress. Senate. Committee on Governmental Affairs. Tissue banks: The dangers of tainted tissues and the need for federal regulation : hearing before the Committee on Governmental Affairs, United States Senate, One Hundred Eighth Congress, first session, May 14, 2003. Washington: U.S. G.P.O., 2003.

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LeMaster, Leslie Jean. Cells and tissues. Chicago: Childrens Press, 1985.

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Zurr, Ionat, and Oron Catts. Tissues, Cultures, Art. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-25887-9.

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Healy, Kieran Joseph. Last best gifts: Altruism and the market for human blood and organs. Chicago, IL: University of Chicago Press, 2006.

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Federal-Provincial Advisory Committee on Institutional and Medical Services (Canada). Sub-Committee on Institutional Program Guidelines. Organ and tissue donation services in hospitals: Report. Ottawa: Health and Welfare Canada, 1986.

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Galea, George. Essentials of tissue banking. Dordrecht: Springer, 2010.

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United States. Congress. Office of Technology Assessment., ed. Ownership of human tissues and cells. Washington, D.C: Congress of the U.S., Office of Technology Assessment, 1987.

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Book chapters on the topic "Tissues"

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Mooney, David J., Joseph P. Vacanti, and Robert Langer. "Tissue engineering: Tubular tissues." In Yearbook of Cell and Tissue Transplantation 1996–1997, 275–82. Dordrecht: Springer Netherlands, 1996. http://dx.doi.org/10.1007/978-94-009-0165-0_27.

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Feeback, Daniel L. "Tissues." In Oklahoma Notes, 28–88. New York, NY: Springer New York, 1987. http://dx.doi.org/10.1007/978-1-4612-4630-5_2.

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Bellary, Sharath S., Wellington K. Hsu, Phuc Dang, Ranjan Gupta, Bastián Uribe-Echevarría, Brian R. Wolf, Matthew T. Provencher, Daniel J. Gross, Amun Makani, and Petar Golijanin. "Tissues." In Passport for the Orthopedic Boards and FRCS Examination, 69–97. Paris: Springer Paris, 2015. http://dx.doi.org/10.1007/978-2-8178-0475-0_4.

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Van Lommel, Alfons T. L. "Tissues." In From Cells to Organs, 59–122. Boston, MA: Springer US, 2003. http://dx.doi.org/10.1007/978-1-4615-0353-8_4.

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Lyon, H. "Tissue Processing: VI. Hard Tissues." In Theory and Strategy in Histochemistry, 207–14. Berlin, Heidelberg: Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/978-3-642-73742-8_15.

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Fon, Deniece, David R. Nisbet, George A. Thouas, Wei Shen, and John S. Forsythe. "Tissue Engineering of Organs: Brain Tissues." In Tissue Engineering, 457–92. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-02824-3_22.

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Awwad, Hassan K. "Early Reacting Tissues: The Haematopoietic Tissue." In Radiation Oncology: Radiobiological and Physiological Perspectives, 223–46. Dordrecht: Springer Netherlands, 1990. http://dx.doi.org/10.1007/978-94-015-7865-3_8.

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Ripamonti, Ugo, Jean-Claude Petit, and June Teare. "Tissue Engineering of the Periodontal Tissues." In Regenerative Dentistry, 83–109. Cham: Springer International Publishing, 2010. http://dx.doi.org/10.1007/978-3-031-02581-5_3.

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Roseti, Livia, and Brunella Grigolo. "Tissue Engineering: Scaffolds and Bio-Tissues." In Joint Function Preservation, 207–16. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-82958-2_18.

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Margulies, S. S., and D. F. Meaney. "Brain tissues." In Handbook of Biomaterial Properties, 70–80. Boston, MA: Springer US, 1998. http://dx.doi.org/10.1007/978-1-4615-5801-9_8.

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Conference papers on the topic "Tissues"

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Hariri, Alireza, and Jean W. Zu. "Design of a Tissue Resonator Indenter Device for Measurement of Soft Tissue Viscoelastic Properties Using Parametric Identification." In ASME 2009 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2009. http://dx.doi.org/10.1115/detc2009-87786.

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The design of a new device called Tissue Resonator Indenter Device (TRID) for measuring soft tissue viscoelastic properties is presented. The two degrees-of-freedom device works based on mechanical vibration principles. When TRID comes into contact with a soft tissue, it can identify the tissue’s viscoelastic properties through the change of the device’s natural frequencies and damping ratios. In this paper, the deign of TRID is presented assuming Kelvin model for tissues. By working in the linear viscoelastic domain, TRID is designed to identify tissue properties in the range of 0–100 Hz. Assuming Kelvin model for tissues, the current paper develops a method for determining unknown tissue parameters using input-output data from TRID. Moreover, it is proved that the TRID’s parameters as well as the Kelvin tissue model parameters are globally identifiable. A parametric identification method using the prediction error approach is proposed for identifying the unknown tissue parameters in a grey-box state-space model. The reliability and effectiveness of the method for measuring soft tissue’s viscoelastic properties is demonstrated through simulation in the presence of considerable input and output noises.
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Klisch, Stephen M., Suzanne E. Holtrichter, Robert L. Sah, and Andrew Davol. "A Bimodular Second-Order Orthotropic Stress Constitutive Equation for Cartilage." In ASME 2004 International Mechanical Engineering Congress and Exposition. ASMEDC, 2004. http://dx.doi.org/10.1115/imece2004-59475.

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The design of tissue-engineered constructs grown in vitro is a promising treatment strategy for degenerated cartilaginous tissues. Cartilaginous tissues such as articular cartilage and the annulus fibrosus are collagen fiber-reinforced composites that exhibit orthotropic behavior and highly asymmetric tensile-compressive responses. They also experience finite deformations in vivo. Successful integration with surrounding tissue upon implantation likely will require cartilage constructs to have similar structural and functional properties as native tissue. Reliable stress constitutive equations that accurately characterize the tissue’s mechanical properties must be developed to achieve this aim. Recent studies have successfully implemented bimodular theories for infinitesimal strains (Soltz et al., 2000; Wang et al., 2003); those models were based on the theory of Curnier et al. (1995).
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Vogt, William C., and Christopher G. Rylander. "Effects of Tissue Dehydration on Optical Diffuse Reflectance and Transmittance in Ex Vivo Porcine Skin." In ASME 2012 Summer Bioengineering Conference. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/sbc2012-80935.

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Soft tissues are heterogeneous materials that may be considered mixtures of water, proteins, and cells. The high degree of mismatch in refractive index between these constituents causes tissues to be highly turbid media [1]. Mechanical optical clearing is a technique for reducing tissue scattering and improving light-based diagnostics and therapeutics. Mechanical optical clearing is performed using indentation to locally modify tissue optical response, and this effect has been shown to be reversible in vivo [2]. This effect is attributed to transient changes in tissue water distribution as a result of interstitial pore flow of water due to tissue compression. This leads to the hypothesis that tissue optical response is also correlated to the tissue’s state of hydration. The goal of this study was to investigate whether or not a difference in tissue water content produces a measurable difference in tissue optical response and to correlate that response with mechanical deformation. Both diffuse reflectance and transmittance were selected as extrinsic optical signals of interest.
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Cai, Yang, and Talia Perez. "Haptic Perception with Artificial Tissues." In 15th International Conference on Applied Human Factors and Ergonomics (AHFE 2024). AHFE International, 2024. http://dx.doi.org/10.54941/ahfe1004632.

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Haptic perception is critical in Minimally Invasive Surgeries (MIS) such as laparoscopic and robotic procedures in which the field of view is limited and the haptic force feedback is distorted or not available. Alternative haptic feedback is rendered by visual elements such as forced tissue deformation or using physical haptic interfaces with augmented reality. These approaches normally need additional training, add-on devices, and maintenance. In this study, we investigate an affordable method for creating a multimodal training simulator that integrates augmented reality (AR), extended reality (XR), and realistic artificial tissues from available human CT data. For the physical artificial tissues our objectives are threefold: first, to objectively measure tissue or organ hardness using a durometer in Shore Units (SU); second, to efficiently produce tissues and organs based on reference SU values and CT data; and third, to create specialized tissues. Additionally, we aim to arrange organs and tissues according to CT data, exemplified by forming the Calot Triangle for cholecystectomy surgery training. Finally, experienced surgeons tested the artificial tissues and organs inside the realistic cavity for basic surgical operation and provided professional feedback.
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Shan, Baoxiang, and Assimina A. Pelegri. "Dynamic Analysis of Soft Tissues With Hard Inclusions." In ASME 2008 International Mechanical Engineering Congress and Exposition. ASMEDC, 2008. http://dx.doi.org/10.1115/imece2008-68558.

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Research on the biomechanical behavior of soft tissues has drawn a lot of recent attention due to its application in tissue evaluation, early cancer detection, rehabilitation and surgery. Dynamic analysis of soft tissues not only provides histological, pathological and physiological information of the tissues, but also presents theoretical support for the modern medical imaging modalities (like Acoustic Radiation Force Imaging, Harmonic Motion Imaging, Supersonic Shear Imaging and Shear Wave Elasticity Imaging) based on tissue dynamics. Using our FEMSS (Finite Element Method with a State Space representation) technique, a realistic model of breast soft tissue with hard inclusions is geometrically discretized in ANSYS using finite elements, while a state space representation is adopted to characterize the motions of tissues stimulated by an internal radiation force. Our objective for this paper is to investigate the effects of size, location and mechanical properties of hard inclusions on the tissues’ response, frequency spectrum and forced vibration. The response differentiation between soft tissues with and without hard inclusions may reveal the resolution and delectability of the dynamic measurement and could lead in the development of new, more effective diagnostic techniques. Our simulation results indicate that the existence of hard inclusion(s) can significantly change the dynamic response of the tissue system. Specifically, hard inclusions may shift the spectrum of an elastic tissue system to a range of higher frequency, with larger sized hard inclusions causing bigger shifts. Furthermore, the location effect of hard inclusions is exhibited when a shallow one tends to vibrate with a larger magnitude at lower frequency than a deep hard inclusion. Finally, the tissue viscosity can significantly compress the range of high frequencies in the tissue system spectrum and cause the magnitude decrease of the forced vibration.
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Gupta, Shikha, Fernando Carrillo, Lisa Pruitt, and Christian Puttlitz. "Nanoscale Indentation of Simulated Soft Tissues." In ASME 2004 International Mechanical Engineering Congress and Exposition. ASMEDC, 2004. http://dx.doi.org/10.1115/imece2004-61986.

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The use of small animal models, such as murine and rabbit models, are currently being explored to help elucidate the mechanobiological mechanisms of clinically relevant orthopaedic conditions such as fracture healing and osteoarthritis progression, with the goal of developing a comprehensive view of the biomechanical structure-function relationships at the tissue and cellular level. In addition to the heterogeneous nature of these tissues, the miniature size of the test specimens from these small animal models precludes the use of conventional bulk mechanical testing procedures to obtain material properties. Nanoindentation is a technique that is used to assess mechanical properties on a cellular scale. Though traditionally used to study hard, elastic-plastic materials, it has been effectively utilized to measure the material properties of mineralized biological materials [1, 2]. More recently, there have been some preliminary studies on soft, hydrated tissues, such as demineralized dentin, cartilage, and vascular tissues [3, 4]. However, this technique has not been validated for measuring the properties of tissues with extremely small, time- dependent tissue matrices (elastic moduli below 5 MPa). A finite element model (FE) of the nanoscale indentation process has been developed to assess some of the experimental issues associated with using nanoindentation on physical tissue specimens. In addition, we have used this FE model to predict the distribution of stresses and strains within the indenting substrate (tissue sample), mechanical parameters that cannot be mapped using currently-available experimental methods.
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Irimia, Daniel, and Jens O. M. Karlsson. "Monte Carlo Simulation of Ice Formation in Tissues." In ASME 2002 International Mechanical Engineering Congress and Exposition. ASMEDC, 2002. http://dx.doi.org/10.1115/imece2002-32681.

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Freezing is a common technique for preservation of isolated cells, and extending its applications to the preservation of tissues would have important implications for the storage and distribution of tissue engineered products. Unlike isolated cells in suspension, cells in tissue interact with each other, and this interaction is known to affect the outcome of tissue cryopreservation. As a consequence, our knowledge of the cryobiology of isolated cells cannot simply be extrapolated to tissues, and new models, which consider the interaction between cells, need to be developed. The model that we propose is based on previous quantitative analysis of intercellular ice propagation in a micropatterned two-cell system. We used Monte Carlo simulations to extrapolate the results from cell pairs to two-dimensional and three-dimensional tissues. Effects of tissue geometry, cellular connectivity, and degree of intercellular interaction were investigated.
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DeVore, Dale P. "Preparation of Injectable Human Tissue Matrix." In ASME 2000 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2000. http://dx.doi.org/10.1115/imece2000-2509.

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Abstract Autogenous tissue has always been the best material for implantation. When available and practical, autogenous tissue preparations are inherently safe with no potential for rejection, allergic or immunogenic reactions. However it is rare that such tissue is readily available. Thus, allograft tissues have been the next best choice for implantation to repair or replace damaged, diseased or inadequate tissues. A recent survey from the American Association of Tissue Banks (AATB) reported that more than 400,000 allograft tissues were transplanted in 1996. These tissues included bone, tendon, skin, fascia, and dura, pericardium and cardiovascular. Tissues are recovered from organ and tissue donors and donation is strictly regulated by the Food and Drug Administration (FDA) and AATB to ensure the safety of such transplants. In the last decade there have been no confirmed reports of AIDS transmission from allograft implants.
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Breidenbach, Andrew P., Nathaniel A. Dyment, Yinhui Lu, Jason T. Shearn, David W. Rowe, Karl E. Kadler, and David L. Butler. "Combined Effects of Scaffold Material and Mechanical Stimulation on the Formation of Tissue Engineered Constructs Using Tendon and Ligament Progenitor Cells." In ASME 2013 Summer Bioengineering Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/sbc2013-14379.

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Tendon and ligament injuries account for one-third of all musculoskeletal injuries [1]. Collagen fibrils in these mechanosensitive tissues transmit forces to mobilize and stabilize joint movement. Donor tissues used to repair these tissues often lack the mechanical properties of the tissue they are replacing. One promising alternative using tissue engineering combines stem/progenitor cells in three-dimensional tissue engineered constructs (TECs).
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Kuznetsova, Liana V., and Dmitry A. Zimnyakov. "Coherent backscattering diagnostics of tissue-like media and tissues." In SPIE Proceedings, edited by Qingming Luo, Lihong V. Wang, Valery V. Tuchin, and Min Gu. SPIE, 2007. http://dx.doi.org/10.1117/12.741464.

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Reports on the topic "Tissues"

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Martinez, Melissa. Lab Basics: Semi-Automated Slice Lab. ConductScience, July 2022. http://dx.doi.org/10.55157/cs20220705.

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Brain tissue slices are used to study synaptic function in the brain. Brain slice chambers maintain the slices for experimental examination, allowing investigation into cellular responses, making them suitable for electrophysiological and metabolic measurements. Interface and submerged chambers are common types, differing in how oxygen is supplied to the slice. Semi-automated slice workstations efficiently assess brain tissue slices, supporting multiple slices simultaneously. These workstations include cameras, monitors, and processors to observe tissues effectively. They save time, enhance efficiency, and offer adjustable magnification for focused observations. Semi-automated labs are practical tools for investigating brain tissues in various chamber types.
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Shugart, L. R. TNT metabolites in animal tissues. Office of Scientific and Technical Information (OSTI), January 1990. http://dx.doi.org/10.2172/5084219.

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Stehney, A. F., and H. F. Lucas. Thorium isotopes in human tissues. Office of Scientific and Technical Information (OSTI), December 1991. http://dx.doi.org/10.2172/10173422.

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Shugart, L. TNT metabolites in animal tissues. Office of Scientific and Technical Information (OSTI), October 1989. http://dx.doi.org/10.2172/5404375.

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Shugart, L. TNT (trinitrotoluene) metabolites in animal tissues. Office of Scientific and Technical Information (OSTI), April 1990. http://dx.doi.org/10.2172/7098581.

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SAMBANIS, ATHANASSIOS. Final Report on Cryopreservation of Biological Tissues. Office of Scientific and Technical Information (OSTI), June 2001. http://dx.doi.org/10.2172/782715.

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Bartz, Jason C. Prion Transport to Secondary Lymphoreticular System Tissues. Fort Belvoir, VA: Defense Technical Information Center, June 2005. http://dx.doi.org/10.21236/ada446424.

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Bartz, Jason C. Prion Transport to Secondary Lymphoreticular System Tissues. Fort Belvoir, VA: Defense Technical Information Center, June 2004. http://dx.doi.org/10.21236/ada430336.

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Weier, Jingly F., Christy Ferlatte, and Heinz-Ulli G. Weier. Somatic genomic variations in extra-embryonic tissues. Office of Scientific and Technical Information (OSTI), May 2010. http://dx.doi.org/10.2172/1001041.

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Shawkey, Matthew D. Characterization and Biomimcry of Avian Nanostructured Tissues. Fort Belvoir, VA: Defense Technical Information Center, January 2016. http://dx.doi.org/10.21236/ad1003687.

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