Results 191 to 200 of about 574,210 (309)

Weakening the nuclear envelope: Lamin B receptor in melanoma metastasis

Molecular Oncology, EarlyView.
LBR‐driven nuclear fragility supports melanoma invasion. A: Melanocyte presents low LBR (Lamin B Receptor) levels, maintaining nuclear integrity and lamina‐chromatin tethering. B: During malignant progression, upregulation of LBR clusters at the INM (Inner Nuclear Membrane) during confined migration causes local lamina weakening and cholesterol ...
Francesca Lorenzini, Maria Caterina Mione   +1 more
wiley   +1 more source

Identifying locations susceptible to micro-anatomical reentry using a spatial network representation of atrial fibre maps. [PDF]

PLoS One, 2022
Falkenberg M, Coleman JA, Dobson S, Hickey DJ, Terrill L, Ciacci A, Thomas B, Sau A, Ng FS, Zhao J, Peters NS, Christensen K.   +11 more
europepmc   +1 more source

Epigenetic heterogeneity and plasticity in therapy‐induced tumor states through single‐cell multi‐omics

Molecular Oncology, EarlyView.
Single‐cell multi‐omics reveals epigenetic heterogeneity across therapy‐adaptive tumor states, including quiescent/dormant, drug‐tolerant persister, and EMT‐like phenotypes. By linking regulatory features with state‐associated biomarkers, these approaches inform biomarker‐guided therapeutic strategies for evolving tumors.
Hee Jung Kim, Hwiyeong Lee, Jin Hong, Daechan Park   +3 more
wiley   +1 more source

Partial Density of States Representation for Accurate Deep Neural Network Predictions of X-ray Spectra

The performance of a Machine Learning (ML) algorithm for chemistry is highly contingent upon the architect’s choice of input representation. This work introduces the partial density of states (p-DOS) descriptor: a novel, quantum- inspired structural ...
Thomas, Penfold, Clelia , Middleton, Basile , Curchod   +2 more
core   +1 more source

MGANSL: multi-network representation generating with generative adversarial network for synthetic lethality prediction. [PDF]

BMC Bioinformatics
Li J, Lu X, Li Z, Liu X, Liu H, Ruan J.
europepmc   +1 more source

Towards Semantically-Rich Spatial Network Representation Learning via Automated Feature Topic Pairing. [PDF]

Front Big Data, 2021
Wang D, Liu K, Mohaisen D, Wang P, Lu CT, Fu Y.   +5 more
europepmc   +1 more source

PAK1 activation drives divergent resistance mechanisms to aromatase inhibition and tamoxifen in a luminal: A breast cancer model

Molecular Oncology, EarlyView.
Breast cancer remains a major cause of cancer death in women, frequently developing endocrine therapy resistance. This study demonstrates that upregulated p21‐activated kinase 1 (PAK1) activity drives resistance to tamoxifen and long‐term estrogen deprivation in ER+ breast cancer models.
Luisa Schwarzmüller, Janina Müller, Efstathios‐Iason Vlachavas, Lukas Beumers, Lena Fleischhacker, Sara Burmester, Angelika Wörner, Sabine Karolus, Dominic Helm, Cindy Körner, Stefan Wiemann   +10 more
wiley   +1 more source

Compact Kernel/Neural Network Representation for Accurate, Fast, and Global Reactive Molecular Potential Energy Surfaces. [PDF]

Precis Chem
Käser S, Koner D, Meuwly M.
europepmc   +1 more source

Polarization‐resolved femtosecond Vis/IR spectroscopy tailored for resolving weak signals in biological samples using minimal sample volume

FEBS Open Bio, EarlyView.
Unique biological samples, such as site‐specific mutant proteins, are available only in limited quantities. Here, we present a polarization‐resolved transient infrared spectroscopy setup with referencing to improve signal‐to‐noise tailored towards tracing small signals. We provide an overview of characterizing the excitation conditions for polarization‐
Clark Zahn, Karsten Heyne
wiley   +1 more source

Flexible neural representation for physics prediction

, 2019
Humans have a remarkable capacity to understand the physical dynamics of objects in their environment, flexibly capturing complex structures and interactions at multiple levels of detail. Inspired by this ability, we propose a hierarchical particle-based
Li, Fei-Fei, Mrowca, Damian, Tenenbaum, Joshua B, Wang, Elias, Yamins, Daniel L. K., Zhuang, Chengxu, Haber, Nick   +6 more
core