Results 131 to 140 of about 12,471,578 (252)

Gene-environment interaction in problematic substance use behaviours: Risk for tobacco, cannabis and alcohol use due to the joint action of the DRD4 EXON III 7-repeat-derivatives and insecure attachment style

, 2009
Gene-environment interaction in problematic substance use behaviours: Risk for tobacco, cannabis and alcohol use due to the joint action of the DRD4 EXON III 7-repeat-derivatives and insecure attachment ...
G Patton (7746530), Craig Olsson (13064958), E Moore (9663458), G Byrnes (13296708), J Ellis (7807520)   +4 more
core  

Supplementary Figure 2 from A Model of Gene-Environment Interaction Reveals Altered Mammary Gland Gene Expression and Increased Tumor Growth following Social Isolation

, 2009
Supplementary Figure 2 from A Model of Gene-Environment Interaction Reveals Altered Mammary Gland Gene Expression and Increased Tumor Growth following Social ...
Masha Kocherginsky (846813), Deng Pan (47215), Suzanne D. Conzen (14906076), Thomas Krausz (14885687), Bertha Delgado (14975383), Jane He (15091890), J. Bradley Williams (15091884), Maria Tretiakova (17180), Martha K. McClintock (12084941), Diana Pang (15091887)   +9 more
core   +1 more source

An outer membrane vesicle‐associated two‐track model for enterotoxigenic Bacteroides fragilis oncogenesis

Molecular Oncology, EarlyView.
Enterotoxigenic Bacteroides fragilis is a gut bacterium linked to bowel cancer. We propose that its toxin acts along two routes: at the cell surface, cutting the adhesion protein E‐cadherin and triggering inflammation; and inside the cell, delivered by bacterial vesicles, switching on NOD1 and cancer stem cell programs.
Kangchan Choi, Sang‐Hyeon Yoo, Ki‐Jong Rhee   +2 more
wiley   +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

Mamm Genome [PDF]

Identifying gene-environment interactions is a central challenge in the quest to understand susceptibility to complex, multi-factorial diseases. Developing an understanding of how inter-individual variability in inherited genetic variation alters the ...

core  

Raman‐based label‐free microscopic analysis of the pancreas in living zebrafish larvae

FEBS Open Bio, EarlyView.
Forward stimulated Raman scattering (F‐SRS) and epi coherent anti‐Stokes Raman scattering (E‐CARS) allow label‐free discrimination of distinct subcellular structures in the pancreas of living zebrafish larvae. Given the straightforward applicability, we anticipate broad implementation of Raman microscopy in other organs and across various biomedical ...
Noura Faraj, Eline M. F. de Lange, Klaas A. Sjollema, Ben N. G. Giepmans   +3 more
wiley   +1 more source

UiO‐66 metal–organic frameworks in biomedicine: From structural tunability to bioimaging, photodiagnostics, and photodynamic cancer therapy

FEBS Open Bio, EarlyView.
UiO‐66(Zr) metal–organic frameworks are chemically stable, biocompatible, and highly tunable nanomaterials. Their modular structure enables controlled drug delivery, multimodal bioimaging, and light‐activated photodynamic therapy, supporting integrated diagnostic and therapeutic (theranostic) applications in cancer and biomedical research.
Veronika Huntošová, Grigorii Rakhalskii, Miroslav Almáši   +2 more
wiley   +1 more source

Directed evolution of enzymes at the crossroads of tradition and innovation

FEBS Open Bio, EarlyView.
An iterative cycle of data‐driven enzyme optimization comprising four stages: genetic diversification of a template enzyme, expression of protein variants, high‐throughput evaluation, and machine‐learning‐guided redesign of the next variant library.
Maria Tomkova, Andrej Mirossay, Erik Sedlak   +2 more
wiley   +1 more source

A Multi-Level Organization of Semantic Primitives that Enables an Autonomous Design Agent to Learn Model of Interaction with the Environment

, 2007
: The intelligent systems that design in an environment require models of environment. Autonomous learning agents, that start with no models of environment, need to generate models of environment.
Learn Model, Me Nt, Interaction Environment   +2 more
core  

Hyperactive ice‐binding proteins stabilize cell membranes and improve resistance to dehydration stress in Caenorhabditis elegans

FEBS Open Bio, EarlyView.
TisIBP8, a fungal‐derived hyperactive ice‐binding protein, helps Caenorhabditis elegans survive dehydration. It localizes near cell membranes, reduces cell damage, and helps maintain membrane structure during drying. These results suggest that ice‐binding proteins can protect cells from dehydration stress as well as freezing stress.
Daiki Shimose, Kotaro Ozaki, Ryohei Kuriyama, Yuka Ikemoto, Kazuhiro Mio, Yuji C. Sasaki, Tatsuya Arai, Sakae Tsuda, Yoichi Shinkai, Masahiro Kuramochi   +9 more
wiley   +1 more source