Results 161 to 170 of about 1,433,367 (217)

Multi-modal data integration reveals functionally credible predictive biomarkers in ovarian cancer. [PDF]

Genome Med
Muranen TA, Hainari A, Afenteva D, Senkowski W, Oikkonen J, Dreo J, Driva K, Holmström S, Isoviita VM, Lahtinen A, Lavikka K, Li Y, Lovino M, Maarala I, Marchi G, Miccolis F, Micoli G, Najm M, Ostwaldt AC, Rodriguez-Mier P, Söderlund J, Hietanen S, Virtanen A, Saez-Rodriguez J, Ficarra E, Schwikowski B, Alanne E, Wennerberg K, Hautaniemi S, Hynninen J.   +29 more
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

Foundation model embeddings for multimodal oncology data integration. [PDF]

NPJ Digit Med
Menon TP, Mahajan A, Powell D.
europepmc   +1 more source

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

Multimodal data integration in orthopedic regenerative medicine: bridging imaging, omics, and clinical data. [PDF]

Front Cell Dev Biol
Ding H, Fei Y, Lu Y, Ying J, He Y, Yao S.   +5 more
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

Enhancing malaria-in-pregnancy monitoring: stakeholder experiences and data integration into the BornFyne-PNMS digital platform in Cameroon. [PDF]

BMJ Glob Health
Tasségning AM, Shiroya V, Ngo V, Wanda F, Ndiforchu V, Fobellah N, Ateba M, Bomba D, Tabebot A, Ebongo Z, Conserve DF, Kasonde M, Tamrat T, Barreix M, Muliokela RK, Tizi NB, Yaya S, Nkangu M.   +17 more
europepmc   +1 more source

A light‐triggered Time‐Resolved X‐ray Solution Scattering (TR‐XSS) workflow with application to protein conformational dynamics

FEBS Open Bio, EarlyView.
Time‐resolved X‐ray solution scattering captures how proteins change shape in real time under near‐native conditions. This article presents a practical workflow for light‐triggered TR‐XSS experiments, from data collection to structural refinement. Using a calcium‐transporting membrane protein as an example, the approach can be broadly applied to study ...
Fatemeh Sabzian‐Molaei, Fredrik Orädd, Konstantinos Magkakis, Magnus Andersson   +3 more
wiley   +1 more source

A network medicine framework for multi-modal data integration in therapeutic target discovery. [PDF]

Commun Chem
Baltušytė G, Toleman IJD, Jones JO, Welsh SJ, Stewart GD, Mitchell TJ, Saeb-Parsy K, Han N.   +7 more
europepmc   +1 more source

Analysing the significance of small conformational changes and low occupancy states in serial crystallographic data

FEBS Open Bio, EarlyView.
This protocol paper outlines methods to establish the success of a time‐resolved serial crystallographic experiment, by means of statistical analysis of timepoint data in reciprocal space and models in real space. We show how to amplify the signal from excited states to visualise structural changes in successful experiments.
Jake Hill, Yelyzaveta Pulnova, Elke De Zitter, Helen M. Ginn, Briony A. Yorke   +4 more
wiley   +1 more source