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)

Developmental status of non-eclosing <i>Cotesia ruficrus.</i> by Xian Li (201841)

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

Exposure to EtBr decreases mtRNA in rat striatal co-cultures, purified neuronal cultures, and astrocytes. by Emily Booth Warren (4276333)

“…<p>(A-C) Log2-fold decrease in mtRNA expression after EtBr treatment assayed with RNASeq, in (A) NECos, (B), pure neuronal cultures, and (C) astrocytes. …”

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. …”

Table S4 from Decreased Mitochondrial DNA Content Drives OXPHOS Dysregulation in Chromophobe Renal Cell Carcinoma by Yi Xiao (14944362)

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. …”

Mean scores for veterinarian responses describing the impact of VFD. by Mary Ellen Dillon (11250468)

“…<p>Likert scale responses (n = 8) in which 1 = Decrease a lot, 2 = Decrease a little, 3 = No Change, 4 = Increase a little, 5 = Increase a lot. …”

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)

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)

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

Effect of parasitism and PDV injection on triglyceride concentration and lipid metabolism-related gene expression in FAW larvae. by Xian Li (201841)

Effect of parasitism and PDV injection on lipid droplet size in the fat body of FAW larvae. by Xian Li (201841)

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%. …”

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%. …”

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%. …”