Ydj1 acetylation impacts multiple aspects of translation. by Siddhi Omkar (12413434)

Differential abundance comparisons between an individual plant (alfalfa, brassica, and fescue) rhizosphere and rhizospheres of plants grown in medium density (24 plants) and high d... by Derek R. Newberger (20623964)

Differential abundance comparison of the rhizosphere of a brassica plant grown alone and brassica’s rhizosphere grown in medium density (24 plants) and high density (48 plants) pol... by Derek R. Newberger (20623964)

Differential abundance comparison of the rhizosphere of a fescue plant grown alone and fescue’s rhizosphere grown in medium density (24 plants) and high density (48 plants) polycul... by Derek R. Newberger (20623964)

Differential abundance comparisons of alfalfa rhizospheres when grown alone (1 plant) versus in medium density (24 plants) and high density (48 plants) polycultures. by Derek R. Newberger (20623964)

C2CD3 regulates spatial organization of centriole architecture. by Eloïse Bertiaux (5309927)

Predicted chronic activation of the cardiomyocyte signaling network during VO. by Johane H. Bracamonte (12883844)

Key biological processes and genes are identified in TGF-β1-induced fibrosis via transcriptome analysis. by Dong-Hee Han (140305)

“…<b>(A)</b> Differentially expressed genes (DEGs; ≥2 folds, ≥7 normalized data value) significantly altered by TGF-β1 treatment were depicted by a Venn diagram. …”

Data Sheet 3_Changes in monocyte subsets are associated with an increased risk of AAA and are surrogate markers for AAA morphology in patients with late-stage disease.docx by Bianca Hamann (10837137)

“…A decrease in classical monocytes [odds ratio (OR): 0.73, p = 0.002] and increases in intermediate (OR: 1.41, p = 0.006) and non-classical monocytes (OR: 1.54, p = 0.030) were associated with a higher risk of AAA. …”

Data Sheet 2_Changes in monocyte subsets are associated with an increased risk of AAA and are surrogate markers for AAA morphology in patients with late-stage disease.docx by Bianca Hamann (10837137)

“…A decrease in classical monocytes [odds ratio (OR): 0.73, p = 0.002] and increases in intermediate (OR: 1.41, p = 0.006) and non-classical monocytes (OR: 1.54, p = 0.030) were associated with a higher risk of AAA. …”

Data Sheet 1_Changes in monocyte subsets are associated with an increased risk of AAA and are surrogate markers for AAA morphology in patients with late-stage disease.pdf by Bianca Hamann (10837137)

“…A decrease in classical monocytes [odds ratio (OR): 0.73, p = 0.002] and increases in intermediate (OR: 1.41, p = 0.006) and non-classical monocytes (OR: 1.54, p = 0.030) were associated with a higher risk of AAA. …”

Changes in volume, mass, and end-diastolic strain during experimental MR in dogs. by Johane H. Bracamonte (12883844)

Validation of model predictions of growth during infusion of hypertrophic agonists with and without receptor blockers. by Johane H. Bracamonte (12883844)

“…By contrast, the model prediction of nearly equal likelihood that ERA increases or decreases NE-induced growth appears to contradict a significant reported decrease in the only available experimental study [<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1012390#pcbi.1012390.ref121" target="_blank">121</a>]. …”

Single-phage therapy succeeds against phage resistance with a strong enough immune system. by Jacopo Marchi (7252499)

Differences in pTSS profiles between pre- and full-term pregnancies. by Zhiwei Guo (335819)

Development of a User-Friendly Dynamic Culture System for Decellularized Scaffold-Based Tissue Engineering by Shujuan Fan (8380047)

“…Compared to static controls, constructs cultured in our platform exhibited a > 5-fold increase in proliferating (Ki67+) cells and a 32-fold decrease in apoptotic (TUNEL+) cells. …”

CiLV-C p29 acts as an RNA-binding protein and interacts with eukaryotic initiation factor 4A (eIF4A). by Mikhail Oliveira Leastro (5736329)

Minimal data set. by Zhaoping Meng (4875040)

“…Twenty-two differential metabolites (VIP ≥ 1) were identified using untargeted metabolomics. 3 primary metabolites, namely mannose, pyruvate, and shikimic acid, together with 2 secondary metabolites, phenylalanine and mevalonic acid, were observed to decrease. 17 secondary metabolites, including Schisandrin A, Schisandrin B, Schisandrin C, Gomisin D, Gomisin G, Gomisin H, Benzoylgomisin H, Benzoylgomisin O,Angeloylgomisin P, Catechin, Isorhamnetin, Luteolin, Cinnamic acid, Hydroxycinnamic acid, Hexahydrocurcumin, Coniferyl alcohol, Phenylalanine, Terpinolene and Mevalonic acid, exhibited increases in their levels by 10.64, 1.84, 1.40, 1.64, 4.46, 8.18, 1.72, 10.20, 2.08, 1.27, 1.57, 1.18, 2.01, 1.12, 1.88, 1.15, and 3.17-fold, respectively. …”

Fragmentation patterns for Schisandrin A. by Zhaoping Meng (4875040)

“…Twenty-two differential metabolites (VIP ≥ 1) were identified using untargeted metabolomics. 3 primary metabolites, namely mannose, pyruvate, and shikimic acid, together with 2 secondary metabolites, phenylalanine and mevalonic acid, were observed to decrease. 17 secondary metabolites, including Schisandrin A, Schisandrin B, Schisandrin C, Gomisin D, Gomisin G, Gomisin H, Benzoylgomisin H, Benzoylgomisin O,Angeloylgomisin P, Catechin, Isorhamnetin, Luteolin, Cinnamic acid, Hydroxycinnamic acid, Hexahydrocurcumin, Coniferyl alcohol, Phenylalanine, Terpinolene and Mevalonic acid, exhibited increases in their levels by 10.64, 1.84, 1.40, 1.64, 4.46, 8.18, 1.72, 10.20, 2.08, 1.27, 1.57, 1.18, 2.01, 1.12, 1.88, 1.15, and 3.17-fold, respectively. …”

Chemical structure of a lignan. by Zhaoping Meng (4875040)

“…Twenty-two differential metabolites (VIP ≥ 1) were identified using untargeted metabolomics. 3 primary metabolites, namely mannose, pyruvate, and shikimic acid, together with 2 secondary metabolites, phenylalanine and mevalonic acid, were observed to decrease. 17 secondary metabolites, including Schisandrin A, Schisandrin B, Schisandrin C, Gomisin D, Gomisin G, Gomisin H, Benzoylgomisin H, Benzoylgomisin O,Angeloylgomisin P, Catechin, Isorhamnetin, Luteolin, Cinnamic acid, Hydroxycinnamic acid, Hexahydrocurcumin, Coniferyl alcohol, Phenylalanine, Terpinolene and Mevalonic acid, exhibited increases in their levels by 10.64, 1.84, 1.40, 1.64, 4.46, 8.18, 1.72, 10.20, 2.08, 1.27, 1.57, 1.18, 2.01, 1.12, 1.88, 1.15, and 3.17-fold, respectively. …”