Results 121 to 130 of about 32,139,398 (268)

S17D-Neoaves-Conflict-Region-Overlap-Whole-Concept-Resolution-mir

open access: yes, 2019
S17D File. Set of Maximally Informative Relations (MIR) inferred for the 2015./2014.Neoaves alignment, under whole-concept resolution, limited to the main conflict region. Total = 441 MIR.
Shizhuo, Yu   +9 more
core   +1 more source

MiR-26a is reduced in serum exosomes and islets during obesity.

open access: yes, 2020
(A) QRT-PCR analysis of human miR-26a expression in serum exosomes of lean (n = 7) and obese (n = 17, BMI > 25) individuals. (B–E) Correlation between serum exosomal miR-26a levels and BMI (B), HOMA-IR (C), blood fasting glucose (D), or blood fasting ...
Xiuxuan Wang (8085695)   +14 more
core   +1 more source

Salmonella lipopolysaccharide‐containing supported lipid bilayers as platforms to study bacteriophage interactions

open access: yesFEBS Letters, EarlyView.
We present robust protocols for the preparation of supported lipid bilayers (SLBs) incorporating either Salmonella smooth LPS or outer membrane vesicles (OMVs). We use a combination of quartz crystal microbalance with dissipation (QCM‐D) and fluorescence microscopy to both characterize the SLBs of various compositions and to probe their interactions ...
Hudson P. Pace   +6 more
wiley   +1 more source

mir-am/LightTwinSVM: LightTwinSVM 0.6.0

open access: yes, 2019
Added <ul> <li>The JOSS paper was added to the repository.</li> <li>The <a href="https://github.com/mir-am/LightTwinSVM#donations">donation section</a> and its button were added to the README file.</li> <li>
A. Mir
core   +1 more source

Design and analysis strategies for robust microbiome ageing research

open access: yesFEBS 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   +5 more
wiley   +1 more source

miR-16 and miR-93 primers sequence.

open access: yes, 2019
miR-16 and miR-93 primers sequence.
Maha Guimei (7542191)   +5 more
core   +1 more source

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

open access: yesFEBS 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   +8 more
wiley   +1 more source

Reconstructing enzyme evolution by protein engineering

open access: yesFEBS 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   +2 more
wiley   +1 more source

Investigating transcription factor dynamics in health and disease using FRAP

open access: yesFEBS Letters, EarlyView.
FRAP analysis of GFP‐tagged transcription factors reveals how molecular mobility and target engagement change in response to drug treatment. By combining live‐cell imaging, quantitative model fitting, and statistical analysis, this approach uncovers transcription factor dynamics linked to disease mechanisms, providing a powerful framework for ...
Kannan Govindaraj   +3 more
wiley   +1 more source

List of predicted top murine targets of mmu-miR-711, mmu-miR-2137, and mmu-miR-710.

open access: yes, 2019
a. The predicted targets of miR-711 clustered with genes related to apoptosis, angiogenesis, cell adhesion, and immune regulation. The predicted targets of miRNA-2137 clustered with drug resistance and proliferation.
Nikhil Meka (8124602)   +5 more
core   +1 more source

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