@article{SunStarlyDalyetal.2020,
  author    = {Sun, Wei and Starly, Binil and Daly, Andrew C and Burdick, Jason A and Groll, J{\"u}rgen and Skeldon, Gregor and Shu, Wenmiao and Sakai, Yasuyuki and Shinohara, Marie and Nishikawa, Masaki and Jang, Jinah and Cho, Dong-Woo and Nie, Minghao and Takeuchi, Shoji and Ostrovidov, Serge and Khademhosseini, Ali and Kamm, Roger D and Mironov, Vladimir and Moroni, Lorenzo and Ozbolat, Ibrahim T},
  title     = {The bioprinting roadmap},
  series = {Biofabrication},
  volume    = {12},
  journal   = {Biofabrication},
  number    = {2},
  doi       = {10.1088/1758-5090/ab5158},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-254027},
  year      = {2020},
  abstract  = {This bioprinting roadmap features salient advances in selected applications of the technique and highlights the status of current developments and challenges, as well as envisioned advances in science and technology, to address the challenges to the young and evolving technique. The topics covered in this roadmap encompass the broad spectrum of bioprinting; from cell expansion and novel bioink development to cell/stem cell printing, from organoid-based tissue organization to bioprinting of human-scale tissue structures, and from building cell/tissue/organ-on-a-chip to biomanufacturing of multicellular engineered living systems. The emerging application of printing-in-space and an overview of bioprinting technologies are also included in this roadmap. Due to the rapid pace of methodological advancements in bioprinting techniques and wide-ranging applications, the direction in which the field should advance is not immediately clear. This bioprinting roadmap addresses this unmet need by providing a comprehensive summary and recommendations useful to experienced researchers and newcomers to the field.},
  language  = {en}
}
@article{AlepeeBahinskiDaneshianetal.2014,
  author    = {Alepee, Natalie and Bahinski, Anthony and Daneshian, Mardas and De Weyer, Bart and Fritsche, Ellen and Goldberg, Alan and Hansmann, Jan and Hartung, Thomas and Haycock, John and Hogberg, Helena T. and Hoelting, Lisa and Kelm, Jens M. and Kadereit, Suzanne and McVey, Emily and Landsiedel, Robert and Leist, Marcel and L{\"u}bberstedt, Marc and Noor, Fozia and Pellevoisin, Christian and Petersohn, Dirk and Pfannenbecker, Uwe and Reisinger, Kerstin and Ramirez, Tzutzuy and Rothen-Rutishauser, Barbara and Sch{\"a}fer-Korting, Monika and Zeilinger, Katrin and Zurich, Marie-Gabriele},
  title     = {State-of-the-Art of 3D Cultures (Organs-on-a-Chip) in Safety Testing and Pathophysiology},
  series = {ALTEX - Alternatives to Animal Experimentation},
  volume    = {31},
  journal   = {ALTEX - Alternatives to Animal Experimentation},
  number    = {4},
  doi       = {2014; http://dx.doi.org/10.14573/altex1406111},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-117826},
  pages     = {441-477},
  year      = {2014},
  abstract  = {Integrated approaches using different in vitro methods in combination with bioinformatics can (i) increase the success rate and speed of drug development; (ii) improve the accuracy of toxicological risk assessment; and (iii) increase our understanding of disease. Three-dimensional (3D) cell culture models are important building blocks of this strategy which has emerged during the last years. The majority of these models are organotypic, i.e., they aim to reproduce major functions of an organ or organ system. This implies in many cases that more than one cell type forms the 3D structure, and often matrix elements play an important role. This review summarizes the state of the art concerning commonalities of the different models. For instance, the theory of mass transport/metabolite exchange in 3D systems and the special analytical requirements for test endpoints in organotypic cultures are discussed in detail. In the next part, 3D model systems for selected organs liver, lung, skin, brain are presented and characterized in dedicated chapters. Also, 3D approaches to the modeling of tumors are presented and discussed. All chapters give a historical background, illustrate the large variety of approaches, and highlight up- and downsides as well as specific requirements. Moreover, they refer to the application in disease modeling, drug discovery and safety assessment. Finally, consensus recommendations indicate a roadmap for the successful implementation of 3D models in routine screening. It is expected that the use of such models will accelerate progress by reducing error rates and wrong predictions from compound testing.},
  language  = {en}
}