Results 111 to 120 of about 19,156,821 (237)

Modelling stem cell differentiation related processes—A practical overview for biologists

FEBS Letters, EarlyView.
Stem cell differentiation is complex and difficult to control experimentally. This review introduces suitable computational modelling approaches that can support stem cell research, from mechanistic ODE and abstract models to multiscale and deep learning methods.
Ricco Zeegelaar, Xinqi Yan, Lucas F. Jansen Klomp, Stefano Schivo, Janine N. Post   +4 more
wiley   +1 more source

Design and analysis strategies for robust microbiome ageing research

FEBS Letters, EarlyView.
The gut microbiome changes with age and associates with age‐related morbidity and mortality, establishing it as a potential biomarker and intervention target for ageing. Realising this potential requires methodological rigour, yet distinguishing biological signals from methodological artefacts remains challenging across cohorts. This review provides an
Mark Olenik, İsmail Güderer, Yi Wang, Tayyaba Alvi, Prasoon Pandey, Handan Melike Dönertaş   +5 more
wiley   +1 more source

Reconstructing enzyme evolution by protein engineering

FEBS Letters, EarlyView.
Natural enzyme evolution can be retraced by protein engineering methods such as directed evolution, rational design, and ancestral sequence reconstruction. These approaches reveal how enzymes emerged from ligand‐binding scaffolds, developed varying substrate preferences, formed oligomeric complexes, adapted to environmental changes, and evolved novel ...
Lukas Drexler, Markus R. Busch, Reinhard Sterner   +2 more
wiley   +1 more source

Editorial: ISPIM Bangkok (August 2020)

Technology Innovation Management Review, 2020
Stoyan Tanev, Gregory Sandstrom
doaj   +1 more source

Assessing satisfaction and performance of the CUREC electronic submission system

BMC Medical Ethics
Background In Thailand, online electronic submission systems play an essential role in facilitating research review. Developing a system that addresses the diverse needs of all stakeholders remains a major challenge for the research committee. This study
Waraya Krisnoi, Issaree Khemakanaka, Peeraphon Lueboonthavatchai, Prida Tasanapradit, Raveenan Mingpakanee, Nuntaree Chaichanawongsaroj   +5 more
doaj   +1 more source

Decoding the dynamic extracellular matrix in cancer—3D models and bioscaffolds rewire the rules of tumor progression

FEBS Letters, EarlyView.
Cancer progression is regulated by the dynamic matrix code of the tumor microenvironment, which influences cellular behavior and disease development. Importantly, matrix remodeling in three‐dimensional cancer models more accurately reflects in vivo conditions compared to conventional two‐dimensional systems.
Sylvia Mangani, Konstantinos Spanopoulos, Zoi Piperigkou, Nikos K. Karamanos   +3 more
wiley   +1 more source

Editorial: Blockchain and Digital Transformation (1/2, 2022)

Technology Innovation Management Review, 2022
Mika Westerlund, Gregory Sandstrom
doaj  

Academic Program Review

, 2012
Psychology Mid-Point Review for Academic Program ReviewPsychology Mid-Point Review Academic Program ReviewPsychology Mid-Point Review Academic Program ...
Psychology, Mid-Point Review, APR, Academic Program Review   +2 more
core  

Identification of a Shiga toxin A‐derived peptide internalized into Gb3 receptor‐bearing cells via interaction with the Shiga toxin B subunit

FEBS Letters, EarlyView.
The process of internalization of the Shiga toxin A subunit via formation of a complex with the Shiga toxin B subunit, which specifically binds to the Gb3 receptor. The peptide is designed to act as a carrier of drugs into cancer cells. Here, we explored the potential of peptides derived from the catalytic A subunit of Shiga toxin (STxA) to be drug ...
Giulia Opassi, João C. Encarnação, Valeria Napolitano, Grzegorz Dubin, Grzegorz Popowicz, Karl Andersson, U. Helena Danielson   +6 more
wiley   +1 more source

Investigating transcription factor dynamics in health and disease using FRAP

FEBS Letters, EarlyView.
FRAP analysis of GFP‐tagged transcription factors reveals how molecular mobility and target engagement change in response to drug treatment. By combining live‐cell imaging, quantitative model fitting, and statistical analysis, this approach uncovers transcription factor dynamics linked to disease mechanisms, providing a powerful framework for ...
Kannan Govindaraj, Carolina Vazquez Garzon, Jose Joaquin Velasco, Janine N. Post   +3 more
wiley   +1 more source