Results 131 to 140 of about 18,457,999 (286)

Modelling stem cell differentiation related processes—A practical overview for biologists

FEBS Letters, EarlyView.
Stem cell differentiation is complex and difficult to control experimentally. This review introduces suitable computational modelling approaches that can support stem cell research, from mechanistic ODE and abstract models to multiscale and deep learning methods.
Ricco Zeegelaar, Xinqi Yan, Lucas F. Jansen Klomp, Stefano Schivo, Janine N. Post   +4 more
wiley   +1 more source

Design and analysis strategies for robust microbiome ageing research

FEBS Letters, EarlyView.
The gut microbiome changes with age and associates with age‐related morbidity and mortality, establishing it as a potential biomarker and intervention target for ageing. Realising this potential requires methodological rigour, yet distinguishing biological signals from methodological artefacts remains challenging across cohorts. This review provides an
Mark Olenik, İsmail Güderer, Yi Wang, Tayyaba Alvi, Prasoon Pandey, Handan Melike Dönertaş   +5 more
wiley   +1 more source

ABL kinase‐dependent phosphorylation of SH proteins promotes their direct interaction with CRK family SH2 domains

FEBS Letters, EarlyView.
CT10 regulator of kinase (CRK) and CRK‐Like (CRKL) are signaling adaptors driving cell adhesion, motility, differentiation, and proliferation. SH2‐domain containing (SH) proteins are enriched in YXXP motifs which when phosphorylated create preferred binding sites for CRK family SH2 domains.
Phoebe M. Cousens, Brendan W. Chandler, Anna M. Schmoker, Jaye L. Weinert, Charlotte A. Kearns, Warren T. Yacawych, Amila Šemić, Alicia M. Ebert, Bryan A. Ballif   +8 more
wiley   +1 more source

The evolutionary replacement of restriction-modification by Ssp antiviral systems is associated with the distribution of prophages in the major clonal group of Acinetobacter baumannii

mBio
Bacteriophages kill almost half of the world’s bacterial cells every day. In response, bacteria have developed anti-phage defense mechanisms that number in the dozens.
Antonio Moreno-Rodríguez, Alejandro Rubio, Andrés Garzón, Younes Smani, Antonio J. Pérez-Pulido   +4 more
doaj   +1 more source

Characterization of the Staphylococcus xylosus methylome reveals a new variant of type I restriction modification system in staphylococci. [PDF]

Front Microbiol, 2023
Schiffer CJ, Grätz C, Pfaffl MW, Vogel RF, Ehrmann MA.   +4 more
europepmc   +1 more source

The structural basis of differential DNA sequence recognition by restriction–modification controller proteins [PDF]

, 2012
McGeehan, John, Thresh, Sarah, Kneale, Geoff, Ball, Neil J., Streeter, Simon   +4 more
core   +1 more source

Reconstructing enzyme evolution by protein engineering

FEBS Letters, EarlyView.
Natural enzyme evolution can be retraced by protein engineering methods such as directed evolution, rational design, and ancestral sequence reconstruction. These approaches reveal how enzymes emerged from ligand‐binding scaffolds, developed varying substrate preferences, formed oligomeric complexes, adapted to environmental changes, and evolved novel ...
Lukas Drexler, Markus R. Busch, Reinhard Sterner   +2 more
wiley   +1 more source

Restriction of the growth of T7-like phages by plasmid prophage P1

Фактори експериментальної еволюції організмів, 2014
Aims. Considerable part of T7 phage genome is responsible for interaction with the bacterial host, primarily for the avoidance of action of protective systems of cells, the restriction-modification complexes.
I. V. Faidiuk
doaj  

Effects of an antimicrobial restriction system on appropriate carbapenem use in a hospital without infectious diseases consultation

, 2017
Warangkhana Wanla,1 Wasan Katip,2,3 Sakon Supakul,2 Porntipa Apiwatnakorn,4 Sompong Khamsarn1 1Department of Pharmacy, Lamphun Hospital, Lamphun, Thailand; 2Department of Pharmaceutical Care, Faculty of Pharmacy, Chiang Mai University, Chiang Mai ...
Katip W, Khamsarn S, Wanla W, Supakul S, Apiwatnakorn P   +4 more
core  

Decoding the dynamic extracellular matrix in cancer—3D models and bioscaffolds rewire the rules of tumor progression

FEBS Letters, EarlyView.
Cancer progression is regulated by the dynamic matrix code of the tumor microenvironment, which influences cellular behavior and disease development. Importantly, matrix remodeling in three‐dimensional cancer models more accurately reflects in vivo conditions compared to conventional two‐dimensional systems.
Sylvia Mangani, Konstantinos Spanopoulos, Zoi Piperigkou, Nikos K. Karamanos   +3 more
wiley   +1 more source