Animal Models for High-Throughput Screening of Translational Research

A special issue of Biomolecules (ISSN 2218-273X). This special issue belongs to the section "Molecular Biology".

Deadline for manuscript submissions: closed (30 April 2024) | Viewed by 316

Special Issue Editors


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Guest Editor
Department of Biochemistry and Molecular Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
Interests: peroxisomal disorders; gene therapy; gene editing; small-molecule screening; stem cell biology
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Guest Editor
Research Institute of The McGill University Health Centre, Montreal, QC, Canada
Interests: genetic disorders; peroxisome diseases; mouse models; drug therapies; lipid metabolism
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The purpose of this Special Issue is to provide a forum to discuss emerging whole animal and organoid platforms for the screening of chemical libraries for translational and basic science research applications and toxicological risk assessment. To date, such screening assays often rely on mammalian cell culture systems to interrogate specific biological networks and molecular interactions. While powerful, there are inherent limitations to such models due to the enormous complexity of multicellular organisms, which could contribute to failures of the many chemical ‘hits’ identified in such screens to achieve biological efficacy in animal models.

To address these limitations, fruit fly, nematode, zebrafish, and organoid models are gaining momentum as screening platforms. Due to the principles of conserved molecular structures and functions and/or their experimental tractability, an exciting new vista in screening platforms is emerging that promises to facilitate the profiling of chemical libraries for a range of therapeutic indications and in investigating potential toxicological signatures. In this Special Issue, we will place a special focus on the development and application of whole animal and organoid models for screening. We seek to highlight fundamental gaps in the scientific knowledge base that need to be bridged to develop more effective whole animal and organoid screening platforms in the future. We welcome the submission of research and review articles that are relevant to the scope of this issue.

Dr. Joseph G. Hacia
Dr. Nancy Braverman
Guest Editors

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. Biomolecules is an international peer-reviewed open access monthly 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

  • chemical libraries
  • high-throughput screening
  • high-content screening
  • model organisms
  • organoids

Published Papers

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