Results 201 to 210 of about 1,230,509 (271)

Coordinating collaborative infectious disease modeling projects with the hubverse

Consortium of Infectious Disease Modeling Hubs, Kerr M, Borchering R, Rivadeneira AC, Contamin L, Funk S, Hochheiser H, Howerton E, Krystalli A, Shandross L, Reich NG.   +10 more
europepmc   +1 more source

Engineering Three-Dimensional Cellular Organization by Regulating Bound Water-Mediated Cell-Substrate Interactions for Disease Modeling. [PDF]

ACS Omega
Kawahara M, Miyazaki K, Anada T, Kobayashi S, Tanaka M.   +4 more
europepmc   +1 more source

Therapeutic strategies for MMAE‐resistant bladder cancer through DPP4 inhibition

Molecular Oncology, EarlyView.
We established monomethyl auristatin E (MMAE)‐resistant bladder cancer (BC) cell lines by exposure to progressively increasing concentrations of MMAE in vitro. RNA sequencing showed DPP4 expression was increased in MMAE‐resistant BC cells. Both si‐DPP4 and the DPP4 inhibitor sitagliptin suppressed the viability of MMAE‐resistant BC cells.
Gang Li, Shuichi Tatarano, Hirofumi Yoshino, Saeki Saito, Mitsuhiko Tominaga, Junya Arima, Ikumi Fukuda, Takashi Sakaguchi, Ryosuke Matsushita, Yasutoshi Yamada, Hideki Enokida   +10 more
wiley   +1 more source

Generation of Neural Organoids and Their Application in Disease Modeling and Regenerative Medicine. [PDF]

Adv Sci (Weinh)
Huang R, Gao F, Yu L, Chen H, Zhu R.
europepmc   +1 more source

Recurrent cancer‐associated ERBB4 mutations are transforming and confer resistance to targeted therapies

Molecular Oncology, EarlyView.
We show that the majority of the 18 analyzed recurrent cancer‐associated ERBB4 mutations are transforming. The most potent mutations are activating, co‐operate with other ERBB receptors, and are sensitive to pan‐ERBB inhibitors. Activating ERBB4 mutations also promote therapy resistance in EGFR‐mutant lung cancer.
Veera K. Ojala, Sini Ahonen, Sara Peltola, Aura Tuohisto‐Kokko, Olaya Esparta, Peppi Suominen, Anne Jokilammi, Iman Farahani, Deepankar Chakroborty, Nikol Dibus, Steffen Boettcher, Tomi T. Airenne, Mark S. Johnson, Lisa D. Eli, Klaus Elenius, Kari J. Kurppa   +15 more
wiley   +1 more source

Reproducibility of PD patient-specific midbrain organoid data for <i>in vitro</i> disease modeling. [PDF]

iScience
Zuccoli E, Al Sawaf H, Tuzza M, Nickels SL, Zagare A, Schwamborn JC.   +5 more
europepmc   +1 more source

Peroxidasin enables melanoma immune escape by inhibiting natural killer cell cytotoxicity

Molecular Oncology, EarlyView.
Peroxidasin (PXDN) is secreted by melanoma cells and binds the NK cell receptor NKG2D, thereby suppressing NK cell activation and cytotoxicity. PXDN depletion restores NKG2D signaling and enables effective NK cell–mediated melanoma killing. These findings identify PXDN as a previously unrecognized immune evasion factor and a potential target to improve
Hsu‐Min Sung, David Bickel, Lena C. M. Krause, Daria Ezeriņa, Christian Ickes, Julian Wojtachnia, Christine S. Gibhardt, Magdalena Shumanska, Khadija Wahni, Andrea Paluschkiwitz, Julia Malo Pueyo, Ekaterina Baranova, Wim Vranken, Hedwig Stanisz, Ioana Stejerean‐Todoran, Michael P. Schön, Joris Messens, Ivan Bogeski   +17 more
wiley   +1 more source

A quantum mechanics-based framework for infectious disease modeling. [PDF]

Sci Rep
He W, Bin S, Sun G.
europepmc   +1 more source

Phenotypic and genotypic characterization of single circulating tumor cells in the follow‐up of high‐grade serous ovarian cancer

Molecular Oncology, EarlyView.
Single circulating tumor cells (sCTCs) from high‐grade serous ovarian cancer patients were enriched, imaged, and genomically profiled using WGA and NGS at different time points during treatment. sCTCs revealed enrichment of alterations in Chromosomes 2, 7, and 12 as well as persistent or emerging oncogenic CNAs, supporting sCTC identity.
Carolin Salmon, Rui P. L. Neves, Nikolas H. Stoecklein, Sven‐Thorsten Liffers, Jens Siveke, Jan D. Kuhlmann, Pauline Wimberger, Paul Buderath, Rainer Kimmig, Sabine Kasimir‐Bauer   +9 more
wiley   +1 more source

Assessing Public Health Capacity for Infectious Disease Modeling: A Qualitative Study of State and Local Agencies. [PDF]

Int J Environ Res Public Health
Crouch SJ, Allen KS, Thornton D, Hartsell J, Weybright EH, Szymczak JE, Shoaf KI.   +6 more
europepmc   +1 more source