Results 191 to 200 of about 3,585,944 (313)

Interferon beta drives therapy resistance in a patient‐derived model of high‐grade serous ovarian cancer

Molecular Oncology, EarlyView.
Interferon type 1 (IFN‐1) production and signaling is associated with the acquisition of therapy resistance, following chronic DNA damage, via Interferon‐related DNA damage resistance signature (IRDS) gene expression. An alternative, DNA damage‐independent role of sustained IFN‐1 mediated resistance was identified and characterized by the emergence of ...
Ashlyn Conant, Tise Suzuki, Kiera McGivney, V. S. S. Abhinav Ayyadevara, Sharon Asariah, Jay Deng, Ethan Nyein, Jacqueline Coats, Gary Yu, Yevgeniya J. Ioffe, Christian Hurtz, Juli J. Unternaehrer   +11 more
wiley   +1 more source

Functionally Graded Materials (FGM2000) (pp.405-804)

National Institute for Materials Science
core  

Quantum Batteries: A Materials Science Perspective. [PDF]

Adv Mater
Camposeo A, Virgili T, Lombardi F, Cerullo G, Pisignano D, Polini M.   +5 more
europepmc   +1 more source

CEACAM1 participation in breast cancer progression

Molecular Oncology, EarlyView.
In invasive breast cancer (BC), CEACAM1 shifts from an apical to a uniform membranous/cytoplasmic pattern, or is lost, as tumors dedifferentiate, inversely tracking the Ki‐67 proliferative index. In MCF‐7 cells, only CEACAM1‐4L suppresses proliferation, repressing cell cycle and growth factor genes.
Mykola Lyndin, Irina Kube‐Golovin, Anatolii Romaniuk, Gunther Wennemuth   +3 more
wiley   +1 more source

Functionally Graded Materials (FGM2000) (pp.3-404)

National Institute for Materials Science
core  

Artificial Intelligence-Powered Materials Science. [PDF]

Nanomicro Lett
Bai X, Zhang X.
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

Functionally Graded Materials Vol. 19, 2005

National Institute for Materials Science
core  

Correction: Atomate2: modular workflows for materials science.

Digit Discov
Ganose AM, Sahasrabuddhe H, Asta M, Beck K, Biswas T, Bonkowski A, Bustamante J, Chen X, Chiang Y, Chrzan DC, Clary J, Cohen OA, Ertural C, Gallant MC, George J, Gerits S, Goodall REA, Guha RD, Hautier G, Horton M, Inizan TJ, Kaplan AD, Kingsbury RS, Kuner MC, Li B, Linn X, McDermott MJ, Mohanakrishnan RS, Naik AA, Neaton JB, Parmar SM, Persson KA, Petretto G, Purcell TAR, Ricci F, Rich B, Riebesell J, Rignanese GM, Rosen AS, Scheffler M, Schmidt J, Shen JX, Sobolev A, Sundararaman R, Tezak C, Trinquet V, Varley JB, Vigil-Fowler D, Wang D, Waroquiers D, Wen M, Yang H, Zheng H, Zheng J, Zhu Z, Jain A.   +55 more
europepmc   +1 more source

Bioinformatic materials science reconsidered. [PDF]

Am J Transl Res
Dong F.
europepmc   +1 more source