Animation of a 3D reconstruction of an intravitally acquired z-stack through the renal cortex of a BALB/cByJ SOPF mouse, 24h p.i. with <i>put2 C</i>. <i>albicans</i>, expressing yE... by Fitz Gerald S. Silao (9384713)

Animation of a 3D reconstruction of an intravitally acquired z-stack through the renal cortex of a BALB/cByJ SOPF mouse, 24h p.i. with wildtype <i>C</i>. <i>albicans</i>, expressin... by Fitz Gerald S. Silao (9384713)

Animation of a 3D reconstruction of an <i>ex vivo</i> acquired z-stack through the renal cortex of a BALB/cByJ SOPF mouse, 24h p.i. with <i>put2 C</i>. <i>albicans</i>, expressing... by Fitz Gerald S. Silao (9384713)

PAC-1 activation counteracts impaired NSCs under hypoglycaemic <i>milieu via</i> the PKA-dependent pathway. by Shiva Mansouri (2838086)

HENMT1 loss results in decreased piRNA bulk and the absence of 3’ 2’-O-methylation and stability. by Shu Ly Lim (578590)

The NK1-receptor antagonist ezlopitant significantly decreases the breakpoint for sucrose but not ethanol operant self-administration in rats. by Pia Steensland (362091)

“…<p>Ezlopitant (5 and 10 mg/kg i.p.) decreases the breakpoint for 5% sucrose using a PR schedule (<b>A</b>), but had no effect on the breakpoint for 10% ethanol (<b>B</b>). …”

Decreased <i>Pax2</i> expression in <i>p53^−/−</i> embryonic kidneys. by Zubaida Saifudeen (135684)

“…<b>B</b>) In situ hybridization. Decreased expression of <i>Pax2</i> mRNA at E12.5. …”

Transthyretin Amyloidosis: Chaperone Concentration Changes and Increased Proteolysis in the Pathway to Disease by Gonçalo da Costa (198731)

Ovariectomy decreases CA1 apical dendrite spine density in female apoE3 TR mice. by Rebecca C. Klein (551567)

Tris(dithiolene) Complexes of Neodymium and Cerium:  Mononuclear Species, Chains, and Honeycomb Networks by Mathieu Roger (2459434)

“…Crystals of [Na(18c6)(py)₂]₂[Na(18c6)(py)][Nd(dddt)₃(py)]·3py (<b>1</b>·3py) are built up from discrete mononuclear cationic and anionic species whereas crystals of {[Na(18c6)(py)₂]_0.5[Na(18c6)(py)_1.5][Na_1.5Nd(dddt)₃]}_∞ (<b>2</b>) are composed of discrete [Na(18c6)(py)<i>_x</i>]⁺ cations and polymeric anionic two-dimensional layers in which the Nd(dddt)₃ units are linked to three neighbors by sodium atoms to form a honeycomb network. …”

VEGF and sFlt-1 mutant phenotypes. VEGF mutant overexpression of VEGF by RT-PCR and ELISA. sFlt-1 mutant expression of sFlt-1 by RT-PCR. by Christopher R. Schlieve (3179439)

FBP primarily decreases the protein level of HMGB1 by promoting its lysosomal degradation upon viral infection. by Penghui Hu (695020)

Islets from hyperglycemic GK rats exhibit decreased proteasome activities together with increased cleaved PARP levels. by Christophe Broca (538652)

CD8^dim exhibit decreased expression of costimulatory molecules and increased expression of adhesion molecules. by Jonathan M. Beus (441623)

Interpretation of bidirectional MR. by Laurence J. Howe (5579186)

Adenosine decreases the number of releasable vesicles and release probability without changing the rate of recovery from vesicle depletion. by Shouping Wang (402959)

“…The amplitude of EPSC evoked by each stimulus was measured by resetting the base line each time at a point within 0.5 ms before the beginning of each stimulation artifact. …”

Fomepizole treatment decreases the NAD(H) pool, impairs ATP production, and enhances ribosomal targeting antibiotic efficacy. by Hansol Im (14803255)

Extensive lipid accumulation and proteins loss explains the decreased sinking velocity in starving <i>Phaeodactylum tricornutum.</i> by Yanqi Wu (489316)

VEGF and sFlt-1 mutants exhibit changes in stem cell marker gene expression by RT-qPCR. by Christopher R. Schlieve (3179439)

“…<p>(A) VEGF mutants demonstrated 0.55-fold reduction in Lgr5 expression compared to littermates (*p = 0.04). …”

Deciphering Nonbioavailable Substructures Improves the Bioavailability of Antidepressants by Serotonin Transporter by Zhi-Zheng Wang (6056033)

“…Here, we proposed the concept of “nonbioavailable substructures”, referring to substructures that are unfavorable to bioavailability. A machine learning model was developed to identify nonbioavailable substructures based on their molecular properties and shows the accuracy of 83.5%. …”