Results 191 to 200 of about 2,866,577 (261)

NKCC1: A key regulator of glioblastoma progression

Molecular Oncology, EarlyView.
Glioblastoma (GBM) progression is driven by disrupted chloride cotransporter homeostasis. NKCC1 is highly expressed in stem‐like, astrocytic, and progenitor cells, correlating with earlier recurrence, while overall survival remains unaffected. NKCC1 serves as a prognostic marker and potential therapeutic target, linking chloride transporter imbalance ...
Anja Thomsen, Diana Freitag, Madlen Haase, Christian Senft, Falko Schwarz, Silke Keiner   +5 more
wiley   +1 more source

The Future of Scientific Writing: AI Tools, Benefits, and Ethical Implications. [PDF]

Braz Dent J
Granjeiro JM, Cury AADB, Cury JA, Bueno M, Sousa-Neto MD, Estrela C.   +5 more
europepmc   +1 more source

Transcriptional profiling of circulating extracellular vesicles from prebiopsy prostate cancer patients

Molecular Oncology, EarlyView.
RNA profiling of circulating extracellular vesicles (EVs) from blood samples of men undergoing prostate biopsy identifies transcripts associated with clinically significant prostate cancer. Integrative analysis with public tumor datasets links EV‐derived gene signatures to tumor stage and progression‐free survival, highlighting CASP3, XRCC2, and RIT1 ...
Stefan Werner, Pierre Tennstedt, Randi C. Pose, Christian Müller, Katharina Besler, Svenja Schneegans, Malik Alawi, Marie C. Roesch, Sven Peine, Desiree Bonci, Joanna Budna‐Tukan, Evi Lianidou, Catherine Alix‐Panabières, Derya Tilki, Klaus Pantel   +14 more
wiley   +1 more source

Defining the Boundaries of AI Use in Scientific Writing: A Comparative Review of Editorial Policies. [PDF]

J Korean Med Sci
Yoo JH.
europepmc   +1 more source

Overview of molecular signatures of senescence and associated resources: pros and cons

FEBS Open Bio, EarlyView.
Cells can enter a stress response state termed cellular senescence that is involved in various diseases and aging. Detecting these cells is challenging due to the lack of universal biomarkers. This review presents the current state of senescence identification, from biomarkers to molecular signatures, compares tools and approaches, and highlights ...
Orestis A. Ntintas, Sylvia Vagena, Pavlos Pantelis, Giorgos Theocharous, Russel Petty, Konstantinos Evangelou, Vassilis G. Gorgoulis   +6 more
wiley   +1 more source

Recommendations for disclosure of artificial intelligence in scientific writing and publishing: a regional anesthesia and pain medicine modified Delphi study. [PDF]

Reg Anesth Pain Med
Fettiplace MR, Bhatia A, Chen Y, Orebaugh SL, Gofeld M, Gabriel RA, Sessler DI, Lonsdale H, Bungart B, Cheng CP, Burnett GW, Han L, Wiles M, Coppens S, Joseph T, Schreiber KL, Volk T, Urman RD, Kovacheva VP, Wu CL, Mariano ER, Ip VHY.   +21 more
europepmc   +1 more source

Targeting TNBC: core–shell polycationic polyurea dendrimers with inherent anticancer activity

FEBS Open Bio, EarlyView.
Core–shell polycationic PURE dendrimers were tested in TNBC‐derived tumor models. Both formulations selectively targeted TNBC and effectively reduced tumor volume. PUREG4‐OEI48 suppressed tumor growth without detectable toxicity, whereas PUREG4‐OCEI24, despite showing efficacy, induced hepatic toxicity.
Adriana Cruz, Bruna Abreu, Cindy Mendes, Catarina Freitas‐Dias, Filipe Gonçalves, Fernanda Silva, José Ramalho, Saudade André, Vasco D. B. Bonifácio, Jacinta Serpa   +9 more
wiley   +1 more source

Use of Artificial Intelligence in Scientific Writing. The Danger of Trying Too Hard to Please. [PDF]

Hemodial Int
Daugirdas JT.
europepmc   +1 more source

Automated FRAP microscopy for high‐throughput analysis of protein dynamics in chromatin organization and transcription

FEBS Open Bio, EarlyView.
RoboMic is an automated confocal microscopy pipeline for high‐throughput functional imaging in living cells. Demonstrated with fluorescence recovery after photobleaching (FRAP), it integrates AI‐driven nuclear segmentation, ROI selection, bleaching, and analysis.
Selçuk Yavuz, Bart Geverts, Johan A. Slotman, Andrea Sacchetti, Stefan Prekovic, Martin E. van Royen, Adriaan B. Houtsmuller   +6 more
wiley   +1 more source

Artificial intelligence in scientific writing. [PDF]

Sao Paulo Med J
Chirichela IA, Mariani AW, Pêgo-Fernandes PM.   +2 more
europepmc   +1 more source