Newswise – Oak Brook, Illinois – The October edition of SLAS technology presents the cover article, “Establishment of a Robust Platform for Induced Pluripotent Stem Cell Research Using Maholo LabDroid” by Miho Sasamata, Daisuke Shimojo, Haruna Sasaki-Iwaoka, Yukiko Yamagishi, Ph.D. (Astellas Pharma Inc., Tsukuba- shi, Ibaraki, Japan), Hiromitsu Fuse, Yohei Nishi, Hidetoshi Sakurai, MD, Ph.D., and Tatsutoshi Nakahata (Center for iPS Cell Research and Application (CiRA), Kyoto University, Sakyo -ku, Kyoto, Japan) .
Induced pluripotent stem cells (iPSCs) are of interest for use in early drug discovery because they can differentiate into any type of cell. However, the maintenance cultures and differentiation processes of iPSCs require a high level of technical expertise. To overcome this problem, technological developments such as improved automation are needed to replace manual operation. In addition, a robot system with the flexibility and scalability to achieve the required maintenance cultures and differentiation processes would also be important.
The authors of “Establishment of a Robust Platform for Induced Pluripotent Stem Cell Research Using Maholo LabDroid” have created a platform to enable the multiple processes required for iPSC experiments using the Maholo LabDroid – a humanoid robotic system with reproducibility and flexibility higher. The precision and robustness of Maholo LabDroid allowed the authors to grow undifferentiated iPSCs for 63 days while retaining the ability to differentiate between the three embryonic germ layers. Maholo LabDroid maintained and harvested iPSCs in six-well plates, then seeded them in 96-well plates, induced differentiation, and implemented immunocytochemistry. It was then confirmed that Maholo LabDroid was able to perform the processes required for the myogenic differentiation of iPSCs isolated from a patient with muscle disease and achieved a high differentiation rate with a CV
In addition to the cover story, this issue of SLAS technology also includes seven original research articles:
- Quantitative confocal microscopy for pooling dose-response data: deciphering calcium sequestration and subsequent cell death in the presence of excess norepinephrine
- U-Net deep learning-based 3D cell counter for quality control of cell-based 3D assays through seed cell measurement
- Numerical modeling of the water permeability of the cell membrane as a function of temperature based on a microfluidic system with dynamic temperature control
- Automating Whole Blood Thiopurine S-Methyltransferase (TPMT) Phenotyping Assay Using Biomek NXP and Biomek i5 Fluid Handling Workstations
- New method to gently mix and evenly suspend particles for automated dosing
- RGB Color Model Analysis for a Simple Structured Polydimethylsiloxane Pneumatic Micromixer
- Pulse-assisted vacuum capillary-based automated instrument for single cell acquisition and simultaneous peel / adhesion assay, A-picK
Other articles in this issue include:
- Advances and challenges of diagnostic and laboratory screening approaches for the detection of aneuploidy in pregnancy
- A flexible system for the step-by-step automation of microbial testing of drinking water and process water
- Highlights of the discovery of life sciences and technology
Access to October SLAS technology the issue is available at https://journals.sagepub.com/toc/jlad/current
For more information on SLAS and its journals, visit https://www.slas.org/publications/slas-technology/
SLAS (Society for Laboratory Automation and Screening) is an international professional society of academic, industrial and government researchers in the life sciences and developers and suppliers of laboratory automation technologies. SLAS’s mission is to bring together researchers from academia, industry and government to advance life science discovery and technology through education, knowledge exchange and community building. global.
SLAS Discovery: Advancing the Science of Drug Discovery, Impact factor 2019 2.918. Editor-in-Chief Robert M. Campbell, Ph.D., Twentyeight-Seven Therapeutics, Boston, MA (US)
SLAS technology: translating innovation into life sciences, 2019 Impact factor 3.047. Editor-in-Chief Edward Kai-Hua Chow, Ph.D., National University of Singapore (Singapore).