3D Cell Cultures: Challenges and Perspectives

A special issue of Cells (ISSN 2073-4409).

Deadline for manuscript submissions: closed (31 July 2017)

Special Issue Editor


E-Mail Website
Guest Editor
Institute of Hygiene and Medical Microbiology, Medical University of Innsbruck, Innsbruck, Austria
Interests: 3D cell culture and pathogen interactions (fungi, HIV-1, SARS-CoV-2); lung model; mucosa; T zell zone model; innate immunity; dendritic cells; T cell polarization
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Three-dimensional (3D) culture systems have gained increasing interest in toxicity testing, drug discovery, stem cells, disease modeling, and emerging technologies. Such systems provide more physiologically-relevant information and predictive data in comparison to 2D monolayer cultures or experiments using animals. Since, in vivo, most cells are surrounded by other cells and ECM in a 3D architecture, 2D cell culture tests are often misleading and do not anticipate responses in vivo. Additionally, animal experiments often do not reflect the situation in vivo due to species differences.

Therefore, in the past few years, tremendous efforts have been made in designing and developing sophisticated 3D cell culture models to more-accurately illustrate the natural microenvironment where cells reside in tissues. Cells in 3D culture differ regarding their morphology, physiology and cellular responses compared to cells grown in 2D. They were demonstrated to be more similar to the in vivo behavior upon treatment, offering a wide range of possible applications. Adoption of 3D cell culture systems in, e.g., infection and cancer cell biology, stem cell studies, tissue engineering for implantation, or drug testing are currently on-going. In addition to being excellent human in vitro models allowing more relevant analyses, 3D cell culture models can also—in the future—contribute to massive reduction or phasing out of animal experimentation.

Within this Special Issue of Cells we want to discuss the challenges and future directions of 3D cell culture models, and we welcome contributions in this wide field of research.

Assoc. Prof. Doris Wilflingseder
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Cells is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • 3D modeling
  • infection models
  • disease models
  • stem cells
  • gene expression analyses in 3D
  • phenotypic analyses in 3D
  • drug screening
  • toxicity testing
  • optimization of 3D models
  • benefits of 3D models
  • challenges of 3D models

Published Papers

There is no accepted submissions to this special issue at this moment.
Back to TopTop