Results 181 to 190 of about 1,555,219 (293)

Developing evidence‐based, cost‐effective P4 cancer medicine for driving innovation in prevention, therapeutics, patient care and reducing healthcare inequalities

Molecular Oncology, EarlyView.
The cancer problem is increasing globally with projections up to the year 2050 showing unfavourable outcomes in terms of incidence and cancer‐related deaths. The main challenges are prevention, improved therapeutics resulting in increased cure rates and enhanced health‐related quality of life.
Ulrik Ringborg, Joachim von Braun, Julio Celis, Anton Berns, Michael Baumann, Tit Albreht, Nancy Abou‐Zeid, Vanderlei Bagnato, Christian Brandts, Chien‐Jen Chen, Massimiliano di Pietro, Manjit Dosanjh, Thomas Dubois, Alexander Eggermont, Angelika Eggert, Ingemar Ernberg, Sara Faithfull, Johannes Förner, Stefan Fröhling, Manuel Heitor, Leroy Hood, Wei Jiang, Bengt Jönsson, Ravi Kannan, Maria Leptin, Su Li, Peter Lindgren, Douglas Lowy, Jun Ma, Alex Markham, Péter Nagy, Simon Oberst, M. Iqbal Parker, Danielle Rodin, Kevin Ryan, Joachim Schüz, Richard Sullivan, Josep Tabernero, Peter Turkson, Oliver Várhelyi, Harold Varmus, Chijie Wang, Elisabete Weiderpass, Nils Wilking   +43 more
wiley   +1 more source

Metabolic flux analysis of glioblastoma neural stem cells reveals distinctive metabolic phenotypes in ketogenic conditions. [PDF]

Sci Rep
Rushin A, Shaikh A, Hardin C, Deleyrolle LP, Merritt ME.   +4 more
europepmc   +1 more source

Real-time assessment of neutrophil metabolism and oxidative burst using extracellular flux analysis. [PDF]

Front Immunol, 2023
Grudzinska FS, Jasper A, Sapey E, Thickett DR, Mauro C, Scott A, Barlow J.   +6 more
europepmc   +1 more source

Cell surface interactome analysis identifies TSPAN4 as a negative regulator of PD‐L1 in melanoma

Molecular Oncology, EarlyView.
Using cell surface proximity biotinylation, we identified tetraspanin TSPAN4 within the PD‐L1 interactome of melanoma cells. TSPAN4 negatively regulates PD‐L1 expression and lateral mobility by limiting its interaction with CMTM6 and promoting PD‐L1 degradation.
Guus A. Franken, Andrea Abel Gutierrez, Imke van Rossum, Cornelia G. Spruijt, Michiel Vermeulen, Guido van Mierlo, Blanca Scheijen, Annemiek B. van Spriel   +7 more
wiley   +1 more source

Metabolic flux analysis in hiPSC-CMs reveals insights into cardiac dysfunction in propionic acidemia. [PDF]

Cell Mol Life Sci
Richard E, Marchuk H, Álvarez M, He W, Chen X, Desviat LR, Zhang GF.   +6 more
europepmc   +1 more source

Gene and protein expression and metabolic flux analysis reveals metabolic scaling in liver ex vivo and in vivo. [PDF]

Elife, 2023
Akingbesote ND, Leitner BP, Jovin DG, Desrouleaux R, Owusu D, Zhu W, Li Z, Pollak MN, Perry RJ.   +8 more
europepmc   +1 more source

LDAcoop: Integrating non‐linear population dynamics into the analysis of clonogenic growth in vitro

Molecular Oncology, EarlyView.
Limiting dilution assays (LDAs) quantify clonogenic growth by seeding serial dilutions of cells and scoring wells for colony formation. The fraction of negative wells is plotted against cells seeded and analyzed using the non‐linear modeling of LDAcoop.
Nikko Brix, Daniel Samaga, Katharina Gehr, Benedek Dankó, Mohamed Schumann, Guido Drexler, Ahmed Alnatsha, Georg Beyer, Ujjwal Mahajan, Martin Selmansberger, Julia Mayerle, Claus Belka, Horst Zitzelsberger, Kirsten Lauber   +13 more
wiley   +1 more source

¹³C-metabolic flux analysis of <i>Saccharomyces cerevisiae</i> in complex media. [PDF]

Metab Eng Commun
Fujiwara H, Okahashi N, Seike T, Matsuda F.   +3 more
europepmc   +1 more source

Metabolic Flux Analysis Reveals the Roles of Stearate and Oleate on CPT1C-mediated Tumor Cell Senescence. [PDF]

Int J Biol Sci, 2023
Chen P, Tian J, Zhou Y, Chen Y, Zhang H, Jiao T, Huang M, Zhang H, Huang P, Yu AM, Gonzalez FJ, Bi H.   +11 more
europepmc   +1 more source

Autophagic flux analysis v1

Autophagic flux analysis
openaire   +1 more source