Results 241 to 250 of about 12,044,503 (300)

Finding novel vulnerabilities of hypomorphic BRCA1 alleles

Molecular Oncology, EarlyView.
Synthetic lethality screens performed to identify novel vulnerabilities often model complete gene loss, thereby overlooking patient‐derived hypomorphic mutations. In this study, we have performed genome‐wide CRISPR screens on BRCA1 hypomorphic mutations, showing BRCA1I26A behaves like wild‐type, while BRCA1R1699Q mimics deficiency. Furthermore, we have
Anne Schreuder, Klaas de Lint, Hồ Mỹ Phúc Võ, Mariana M. Góis, Rosalie A. Kampen, Marta San Martin Alonso, Ilse Nootenboom, Veronica Garzero, Tiemen J. Wendel, Rob M. F. Wolthuis, Sylvie M. Noordermeer   +10 more
wiley   +1 more source

Animal Models of Hyperoxaluria and Their Relevance for Fundamental Research and Clinical Practice. [PDF]

Int J Mol Sci
Szkopek-Zaworska D, Strutyński M, Donaldson J, Pierzynowski S, Pierzynowska K, Jacek T.   +5 more
europepmc   +1 more source

MITF maintains genome stability in nonmelanocyte lineages

Molecular Oncology, EarlyView.
MITF is essential for melanocyte survival and acts as an oncogene in 10%–20% of melanomas. We show that MITF depletion causes genome instability in nonmelanocytic cells, leading to LATS2‐mediated P53 activation, cell cycle arrest, and apoptosis. This study highlights the role of MITF as a genome maintenance factor beyond the melanocyte lineage. Created
Drifa H. Gudmundsdottir, Adrián López García de Lomana, Thejus B. Venkatesh, Kritika Kirty, Snaevar Sigurdsson, Linda Vidarsdottir, Ramile Dilshat, Erla Sveinbjornsdottir, Snaedis Ragnarsdottir, Daniel H Magnusson, Maria R. Bustos, Eirikur Steingrimsson, Thorkell Gudjonsson, Stefan Sigurdsson   +13 more
wiley   +1 more source

Process optimization with rule-learning explainable AI, and its application to MRI scanning. [PDF]

PLoS One
Hartmann S, Sharp A, Johnston H, Gee MS, Huang SY, Harisinghani MG, Gühring J, Lo WC, Deshpande V, Pianykh OS.   +9 more
europepmc   +1 more source

Predicting resistance to fluoroquinolones among patients with rifampicin-resistant tuberculosis: A cross-country validation study. [PDF]

PLoS Med
Shao T, Neves MR, Franke M, Mitnick C, Furin J, Cohen T, Yaesoubi R.   +6 more
europepmc   +1 more source

Autogenerating a Domain-Specific Question-Answering Data Set to Enable High-Performing Language Models for Magnetic Materials. [PDF]

J Chem Inf Model
Kelly CR, Cole JM.
europepmc   +1 more source

Systematic assessment of text summarization methods for biomedical literature from frequency methods to language models. [PDF]

iScience
Baumgärtel F, Bono E, Fillinger L, Galou L, Kęska-Izworska K, Walter SM, Andorfer P, Kratochwill K, Perco P, Ley M.   +9 more
europepmc   +1 more source

Evaluating hybrid quantum-classical learning for financial forecasting: a comparative study with classical machine learning models on BSE indices. [PDF]

Front Artif Intell
Nair R, Chandre P, Makubhai S, Shendkar B, Deotale D, Patil V.   +5 more
europepmc   +1 more source

Benchmarking Zero-Shot Open-Vocabulary and Fine-Tuned Object Detectors for Underground Mine Personnel Detection. [PDF]

Sensors (Basel)
Essien E, Frimpong S.
europepmc   +1 more source