Skip to main content Accessibility help
×
Hostname: page-component-78c5997874-t5tsf Total loading time: 0 Render date: 2024-11-05T17:04:22.931Z Has data issue: false hasContentIssue false

Chapter 1 - Introducing materiomics

Published online by Cambridge University Press:  05 April 2013

Jan de Boer
Affiliation:
University of Twente, Enschede, The Netherlands
Clemens A. van Blitterswijk
Affiliation:
University of Twente, Enschede, The Netherlands
Get access

Summary

Introduction to materiomics

The ability to regenerate and repair tissues and organs – using science and engineering to supplement biology – continuously intrigues and inspires those hoping that the frailty of our bodies can be ultimately avoided. From ancient times, a surprising range of unnatural materials have been used to (partially) substitute human tissues for medicinal purposes. For example, in the era of the Incas (c. 1500), moulded materials such as gold and silver were used for the ‘surgical’ repair of cranial defects. In addition, archaeological findings reveal a wide range of materials, such as bronze, wood and leather, being used to replace and repair parts of the human body. Continuous refinement led to the first evidence of materials successfully implanted inside the body, reportedly used to repair a bone defect in the seventeenth century (see Further Reading).

Even earlier than this, the relationships between anatomy (i.e. structure) and function of living systems had been explored by Leonardo da Vinci and Galileo Galilei, who were among the first few to apply fundamental science to biological systems. In the current age of technology, new materials for biomedical and clinical application have undergone a modern Renaissance, resulting in a surge in design and successful application (1–5). The concepts of tissue repair and substitution are constantly improving and becoming more accessible, as proven for example by the widespread occurrence (and popular approval) of total hip and knee replacements. But rather than replacement with synthetic analogues, can biological tissue(s) be directly engineered?

Type
Chapter
Information
Materiomics
High-Throughput Screening of Biomaterial Properties
, pp. 1 - 12
Publisher: Cambridge University Press
Print publication year: 2013

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Albright, AL, Pollack, IF, Adelson, PD. Principles and Practice of Pediatric Neurosurgery 2nd edn: Thieme; 2008.
Hook, AL, Anderson, DG, Langer, R. High throughput methods applied in biomaterial development and discovery. Biomaterials. 2010;31(2): 187–98.CrossRefGoogle Scholar
Meekeren, JJ. Observationes Medico-chirurgicae. Ex Officina Henrici & Vidnae Theodoi Boom; 1682 [In Latin].
Potyrailo, R, Rajan, K, Stoewe, K. Combinatorial and high-throughput screening of materials libraries: review of state of the art. ACS Comb. Sci2011;13 (6):579–633.Google Scholar
Simon, CG, Lin-Gibson, S. Combinatorial and high-throughput screening of biomaterials. Adv Mater Special Issue: Polymer Science at NIST. 2011;23(3) :369–87.Google Scholar
Langer, R, Tirrell, DA. Designing materials for biology and medicine. Nature. 2004;428(6982):487–92.CrossRefGoogle Scholar
Burg, KJL, Porter, S, Kellam, JF. Biomaterial developments for bone tissue engineering. Biomaterials. 2000;21(23):2347–59.CrossRefGoogle Scholar
Ma, PX. Biomimetic materials for tissue engineering. Adv Drug Deliver Rev. 2008;60(2):184–98.CrossRefGoogle Scholar
Shin, H, Jo, S, Mikos, AG. Biomimetic materials for tissue engineering. Biomaterials. 2003;24(24):4353–64.CrossRefGoogle Scholar
Langer, R, Vacanti, JP. Tissue engineering. Science. 1993;260(5110):920–6.CrossRefGoogle Scholar
de Bruijn, JD, Yuan, HP, Fernandes, H et al. Osteoinductive ceramics as a synthetic alternative to autologous bone grafting. Proc Natl Acad Sci USA. 2010;107(31):13614–19.CrossRefGoogle Scholar
Neuss, S, Apel, C, Buttler, P et al. Assessment of stem cell/biomaterial combinations for stem cell-based tissue engineering. Biomaterials. 2008;29(3):302–13.CrossRefGoogle Scholar
Fratzl, P, Weinkamer, R. Nature’s hierarchical materials. Prog Mater Sci. 2007;52(8):1263–334.CrossRefGoogle Scholar
Buehler, MJ, Yung, YC. Deformation and failure of protein materials in physiologically extreme conditions and disease. Nat Mater. 2009;8(3):175–88.CrossRefGoogle Scholar
Csete, ME, Doyle, JC. Reverse engineering of biological complexity. Science. 2002;295(5560):1664–9.CrossRefGoogle Scholar
Unadkat, HV, Hulsman, M, Cornelissen, K et al. An algorithm-based topographical biomaterials library to instruct cell fate. Proc Natl Acad Sci USA. 2011;10.1073/pnas.1109861108.
Knowles, TPJ, Buehler, MJ. Nanomechanics of functional and pathological amyloid materials. Nat Nanotechnol. 2011;6(8):469–79.CrossRefGoogle Scholar
Buehler, MJ. Tu(r)ning weakness to strength. Nano Today. 2010;5(5):379–83.CrossRefGoogle Scholar
Cranford, S, Buehler, MJ. Materiomics: biological protein materials, from nano to macro. Nanotechnol Sci Appl. 2010;3(1):127–48.Google Scholar
Ackbarow, T, Buehler, MJ. Hierarchical coexistence of universality and diversity controls robustness and multi-functionality in protein materials. J Comput Theor Nanos. 2008;5(7):1193–204.CrossRefGoogle Scholar
Buehler, MJ. Nanomaterials: Strength in numbers. Nat Nanotechnol. 2010;5(3):172–4.CrossRefGoogle Scholar
Titz, B, Schlesner, M, Uetz, P. What do we learn from high-throughput protein interaction data?Expert Rev Proteomic. 2004;1(1):111–21.CrossRefGoogle Scholar
Govorun, VM, Archakov, AI. Proteomic technologies in modern biomedical science. Biochem Moscow. 2002;67(10):1109–23.CrossRefGoogle Scholar
Pandey, A, Mann, M. Proteomics to study genes and genomes. Nature. 2000;405(6788):837–46.CrossRefGoogle Scholar
Aizenberg, J, Fratzl, P. Biological and biomimetic materials. Adv Mater. 2009;21(4):387–8.CrossRefGoogle Scholar
Vincent, JFV, Bogatyreva, OA, Bogatyrev, NR, Bowyer, A, Pahl, AK. Biomimetics: its practice and theory. J R Soc Interface. 2006;3(9):471–82.CrossRefGoogle Scholar
Webster, DC. Combinatorial and high-throughput methods in macromolecular materials research and development. Macromol Chem Phys. 2008;209(3):237–46.CrossRefGoogle Scholar
Rademann, J, Jung, G. Drug discovery: Integrating combinatorial synthesis and bioassays. Science. 2000;287(5460):1947–8.CrossRefGoogle Scholar
Westerhoff, HV, Bruggeman, FJ. The nature of systems biology. Trends Microbiol. 2007;15(1):45–50.CrossRefGoogle Scholar
Venter, JC. Multiple personal genomes await. Nature. 2010;464(7289):676–7.CrossRefGoogle Scholar
Rogers, YH, Venter, JC. Genomics: Massively parallel sequencing. Nature. 2005;437(7057):326–7.CrossRefGoogle Scholar
Kohn, J, Welsh, WJ, Knight, D. A new approach to the rationale discovery of polymeric biomaterials. Biomaterials. 2007;28(29):4171–7.CrossRefGoogle Scholar
Xiang, XD, Sun, XD, Briceno, G et al. A combinatorial approach to materials discovery. Science. 1995;268(5218):1738–40.CrossRefGoogle Scholar
Langer, R, Anderson, DG, Levenberg, S. Nanolitre-scale synthesis of arrayed biomaterials and application to human embryonic stem cells. Nat Biotechnol. 2004;22(7):863–6.CrossRefGoogle Scholar
Oreffo, ROC, Tare, RS, Khan, F et al. A microarray approach to the identification of polyurethanes for the isolation of human skeletal progenitor cells and augmentation of skeletal cell growth. Biomaterials. 2009;30(6):1045–55.CrossRefGoogle Scholar
Capito, RM, Azevedo, HS, Velichko, YS, Mata, A, Stupp, SI. Self-assembly of large and small molecules into hierarchically ordered sacs and membranes. Science. 2008;319(5871):1812–16.CrossRefGoogle Scholar
Silva, GA, Czeisler, C, Niece, KL et al. Selective differentiation of neural progenitor cells by high-epitope density nanofibers. Science. 2004;303(5662):1352–5.CrossRefGoogle Scholar
Stupp, SI, Braun, PV. Molecular manipulation of microstructures: Biomaterials, ceramics, and semiconductors. Science. 1997;277(5330):1242–8.CrossRefGoogle Scholar
Meijer, EW, Dankers, PYW, Harmsen, MC, Brouwer, LA, Van Luyn, MJA. A modular and supramolecular approach to bioactive scaffolds for tissue engineering. Nat Mater. 2005;4(7):568–74.CrossRefGoogle Scholar

Save book to Kindle

To save this book to your Kindle, first ensure [email protected] is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about saving to your Kindle.

Note you can select to save to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

Find out more about the Kindle Personal Document Service.

Available formats
×

Save book to Dropbox

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Dropbox.

Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

Available formats
×