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Wolf Á, Romeder-Finger S, Széll K, Galambos P. WITHDRAWN: Towards robotic laboratory automation Plug & play: Survey and concept proposal on teaching-free robot integration with the LAPP digital twin. SLAS DISCOVERY : ADVANCING LIFE SCIENCES R & D 2023; 29:132. [PMID: 38101573 DOI: 10.1016/j.slasd.2023.12.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/17/2022] [Revised: 12/19/2022] [Accepted: 01/10/2023] [Indexed: 12/17/2023]
Affiliation(s)
- Ádám Wolf
- Takeda Manufacturing Austria AG, Industriestraße 67, Wien, A-1221, Austria; Doctoral School of Applied Informatics and Applied Mathematics, Óbuda University, Baxalta Innovations GmbH, a Takeda Company, Austria.
| | | | - Károly Széll
- Alba Regia Technical Faculty, Óbuda University, H-8000, Székesfehérvár, Hungary
| | - Péter Galambos
- Antal Bejczy Center for Intelligent Robotics, Óbuda University, Hungary
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Mehlferber MM, Kuyumcu-Martinez M, Miller CL, Sheynkman GM. Transcription factors and splice factors - interconnected regulators of stem cell differentiation. CURRENT STEM CELL REPORTS 2023; 9:31-41. [PMID: 38939410 PMCID: PMC11210451 DOI: 10.1007/s40778-023-00227-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/12/2023] [Indexed: 06/29/2024]
Abstract
Purpose of review The underlying molecular mechanisms that direct stem cell differentiation into fully functional, mature cells remain an area of ongoing investigation. Cell state is the product of the combinatorial effect of individual factors operating within a coordinated regulatory network. Here, we discuss the contribution of both gene regulatory and splicing regulatory networks in defining stem cell fate during differentiation and the critical role of protein isoforms in this process. Recent findings We review recent experimental and computational approaches that characterize gene regulatory networks, splice regulatory networks, and the resulting transcriptome and proteome they mediate during differentiation. Such approaches include long-read RNA sequencing, which has demonstrated high-resolution profiling of mRNA isoforms, and Cas13-based CRISPR, which could make possible high-throughput isoform screening. Collectively, these developments enable systems-level profiling of factors contributing to cell state. Summary Overall, gene and splice regulatory networks are important in defining cell state. The emerging high-throughput systems-level approaches will characterize the gene regulatory network components necessary in driving stem cell differentiation.
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Affiliation(s)
- Madison M Mehlferber
- Department of Biochemistry and Molecular Genetics, University Virginia, Charlottesville, VA 22903
| | - Muge Kuyumcu-Martinez
- Department of Molecular Physiology and Biological Physics, University of Virginia, School of Medicine, Fontaine Medical Office Building 1, 415 Ray C. Hunt Dr, Charlottesville, VA 22903
| | - Clint L Miller
- Department of Public Health Sciences, Department of Biochemistry and Molecular Genetics, and Department of Biomedical Engineering, University of Virginia, Multistory Building, West Complex, 1335 Lee St, Charlottesville, VA 22908, PO Box 800717, Charlottesville, Virginia 22908
| | - Gloria M Sheynkman
- Department of Molecular Physiology and Biological Physics, Center for Public Health Genomics, UVA Comprehensive Cancer Center, Department of Biochemistry and Molecular Genetics, University of Virginia, 1340 Jefferson Park Avenue, Charlottesville, VA 22903
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Feodoroff M, Mikkonen P, Arjama M, Murumägi A, Kallioniemi O, Potdar S, Turunen L, Pietiäinen V. Protocol for 3D drug sensitivity and resistance testing of patient-derived cancer cells in 384-well plates. SLAS DISCOVERY : ADVANCING LIFE SCIENCES R & D 2023; 28:36-41. [PMID: 36464160 DOI: 10.1016/j.slasd.2022.11.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/31/2022] [Revised: 11/01/2022] [Accepted: 11/15/2022] [Indexed: 12/03/2022]
Abstract
Establishment of drug testing of patient-derived cancer cells (PDCs) in physiologically relevant 3-dimensional (3D) culture is central for drug discovery and cancer research, as well as for functional precision medicine. Here, we describe the detailed protocol allowing the 3D drug testing of PDCs - or any type of cells of interest - in Matrigel in 384-well plate format using automation. We also provide an alternative protocol, which does not require supporting matrices. The cancer tissue is obtained directly from clinics (after surgery or biopsy) and processed into single cell suspension. Systematic drug sensitivity and resistance testing (DSRT) is carried out on the PDCs directly after cancer cell isolation from tissue or on cells expanded for a few passages. In the 3D-DSRT assay, the PDCs are plated in 384-well plates in Matrigel, grown as spheroids, and treated with compounds of interest for 72 h. The cell viability is directly measured using a luminescence-based assay. Alternatively, prior to the cell viability measurement, drug-treated cells can be directly subjected to automated high-content bright field imaging or stained for fluorescence (live) cell microscopy for further image analysis. This is followed by the quality control and data analysis. The 3D-DSRT can be performed within a 1-3-week timeframe of the clinical sampling of cancer tissue, depending on the amount of the obtained tissue, growth rate of cancer cells, and the number of drugs being tested. The 3D-DSRT method can be flexibly modified, e.g., to be carried out with or without supporting matrices with U-bottom 384-well plates when appropriate for the PDCs or other cell models used.
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Affiliation(s)
- Michaela Feodoroff
- Institute for Molecular Medicine Finland (FIMM), Helsinki Institute for Life Sciences (HiLIFE), University of Helsinki, Helsinki, Finland; Laboratory of Immunovirotherapy, Drug Research Program, Division of Pharmaceutical Biosciences, Faculty of Pharmacy, University of Helsinki, Helsinki, Finland; Translational Immunology Research Program (TRIMM), University of Helsinki, Helsinki, Finland; iCAN Digital Precision Cancer Medicine Flagship, University of Helsinki, Helsinki, Finland
| | - Piia Mikkonen
- Institute for Molecular Medicine Finland (FIMM), Helsinki Institute for Life Sciences (HiLIFE), University of Helsinki, Helsinki, Finland; UPM-Kymmene Corporation, UPM Biomedicals, Helsinki, Finland
| | - Mariliina Arjama
- Institute for Molecular Medicine Finland (FIMM), Helsinki Institute for Life Sciences (HiLIFE), University of Helsinki, Helsinki, Finland
| | - Astrid Murumägi
- Institute for Molecular Medicine Finland (FIMM), Helsinki Institute for Life Sciences (HiLIFE), University of Helsinki, Helsinki, Finland
| | - Olli Kallioniemi
- Institute for Molecular Medicine Finland (FIMM), Helsinki Institute for Life Sciences (HiLIFE), University of Helsinki, Helsinki, Finland; iCAN Digital Precision Cancer Medicine Flagship, University of Helsinki, Helsinki, Finland; Science for Life Laboratory (SciLifeLab), Department of Oncology and Pathology, Karolinska Institutet, Solna, Sweden
| | - Swapnil Potdar
- Institute for Molecular Medicine Finland (FIMM), Helsinki Institute for Life Sciences (HiLIFE), University of Helsinki, Helsinki, Finland
| | - Laura Turunen
- Institute for Molecular Medicine Finland (FIMM), Helsinki Institute for Life Sciences (HiLIFE), University of Helsinki, Helsinki, Finland
| | - Vilja Pietiäinen
- Institute for Molecular Medicine Finland (FIMM), Helsinki Institute for Life Sciences (HiLIFE), University of Helsinki, Helsinki, Finland; iCAN Digital Precision Cancer Medicine Flagship, University of Helsinki, Helsinki, Finland.
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Fu M. Drug discovery from traditional Chinese herbal medicine using high content imaging technology. JOURNAL OF TRADITIONAL CHINESE MEDICAL SCIENCES 2021. [DOI: 10.1016/j.jtcms.2021.07.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022] Open
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