Results 171 to 180 of about 1,900,077 (315)

Network divergence analysis identifies adaptive gene modules and two orthogonal vulnerability axes in pancreatic cancer

Molecular Oncology, EarlyView.
Tumors contain diverse cellular states whose behavior is shaped by context‐dependent gene coordination. By comparing gene–gene relationships across biological contexts, we identify adaptive transcriptional modules that reorganize into distinct vulnerability axes.
Brian Nelson, Lyanne Delgado‐Coka, Natalia Marchenko, Luisa F. Escobar‐Hoyos, Kenneth R. Shroyer, Alisa Yurovsky, Trey Ideker, Gábor Balázsi, Thomas MacCarthy, Scott Powers   +9 more
wiley   +1 more source

Are we ready for causal discovery in biological systems using deep learning? [PDF]

Brief Bioinform
Yeo HC, Selvarajoo K.
europepmc   +1 more source

COMP–PMEPA1 axis promotes epithelial‐to‐mesenchymal transition in breast cancer cells

Molecular Oncology, EarlyView.
This study reveals that cartilage oligomeric matrix protein (COMP) promotes epithelial‐to‐mesenchymal transition (EMT) in breast cancer. We identify PMEPA1 (protein TMEPAI) as a novel COMP‐binding partner that mediates EMT via binding to the TSP domains of COMP, establishing the COMP–PMEPA1 axis as a key EMT driver in breast cancer.
Konstantinos S. Papadakos, Gilar Gorji‐bahri, Lejla Gradjan, Julia Zajac, Kacper Gil, Yvonne Thokozile Nduku, Anna M. Blom   +6 more
wiley   +1 more source

From FAIR to CURE: guidelines for computational models of biological systems. [PDF]

NPJ Syst Biol Appl
Sauro HM, Agmon E, Blinov ML, Gennari JH, Hellerstein JL, Heydarabadipour A, Jardine BE, May E, Nickerson DP, Smith LP, Bader GD, Bergmann FT, Boyle PM, Dräger A, Faeder JR, Feng S, Freire J, Fröhlich F, Glazier JA, Gorochowski TE, Helikar T, Hermjakob H, Hoops S, Hunter P, Imoukhuede PI, Keating SM, König M, Laubenbacher R, Loew LM, Lopez CF, Lytton WW, Malik-Sheriff RS, McCulloch A, Mendes P, Mulugeta L, Myers CJ, Myers JG, Niarakis A, Niekerk DDV, Olivier BG, Patrie AA, Quardokus EM, Radde N, Rohwer JM, Sahle S, Schaff JC, Schreiber F, Sego TJ, Shin J, Snoep JL, Vadigepalli R, Wiley HS, Waltemath D, Moraru II.   +53 more
europepmc   +1 more source

Adhesion in Biological Systems [PDF]

Science, 1967
openaire   +2 more sources

Pre‐analytical optimization of cell‐free DNA and extracellular vesicle‐derived DNA for mutation detection in liquid biopsies

Molecular Oncology, EarlyView.
Pre‐analytical handling critically determines liquid biopsy performance. This study defines practical best‐practice conditions for cell‐free DNA (cfDNA) and extracellular vesicle–derived DNA (evDNA), showing how processing time, storage conditions, tube type, and plasma input volume affect DNA integrity and mutation detection.
Jonas Dohmen, Lucrezia De Santis, Bret M. Stephens, Vincent Bernard, Jörg C. Kalff, Lara Braun, Phillipp Leyendecker, Johannes Röttgen, Daniel Weissinger, Anirban Maitra, Paola A. Guerrero, Alexander Semaan   +11 more
wiley   +1 more source

Systems evolutionary biology : biological network evolution theory, stochastic evolutionary game strategies, and applications to systems synthetic biology / [PDF]

Systems Evolutionary Biology: Biological Network Evolution Theory, Stochastic Evolutionary Game Strategies, and Applications to Systems Synthetic Biology discusses the evolutionary game theory and strategies of nonlinear stochastic biological networks ...
Chen, Bor-Sen,author.
core  

HySimODE: a hybrid stochastic-deterministic simulation framework for multiscale models of biological systems. [PDF]

Bioinformatics
Zamora-Chimal CG, Darlington APS.
europepmc   +1 more source

EDNRB‐dependent endothelin signaling reduces proliferation and promotes proneural‐to‐mesenchymal transition in gliomas

Molecular Oncology, EarlyView.
Glioma cells mainly express the endothelin receptor EDNRB, while EDNRA is restricted to a perivascular tumor subpopulation. Endothelin signaling reduces glioma cell proliferation while promoting migration and a proneural‐to‐mesenchymal transition associated with poor prognosis. This pathway activates Ca2+, K+, ERK, and STAT3 signalings and is regulated
Donovan Pineau, Leonor Garcia, Hugo Arnold, Antonija Hanžek, Maialen Arrieta, Laurent R Gauthier, Christine Granotier‐Beckers, François D Boussin, Amaury Herbet, Marie Hautière, Valentin Asei‐Ceschino, Clémentin Jacques, Laura Brard, Thomas Harnois, Valérie Coronas, Bruno Constantin, Aurélien Chatelier, Jean Chemin, Serge Urbach, Martial Seveno, Szimonetta Hideg, Chantal Ripoll, Kasandra Aguilar‐Cázarez, Min Zheng, Guo‐Hao Huang, Sheng‐Qing Lv, Lei Zhang, Philippe Rondard, Laurent Prezeau, Jean‐Philippe Pin, Hugues Duffau, Luc Bauchet, Valérie Rigau, Franck Denat, Charles Truillet, Didier Boquet, Jean‐Philippe Hugnot   +36 more
wiley   +1 more source

Selecting synthetic data for successful simulation-based transfer learning in dynamical biological systems. [PDF]

BMC Bioinformatics
Witzke S, Zabbarov J, Kleissl M, Iversen P, Renard BY, Baum K.   +5 more
europepmc   +1 more source