HVR1-swap compensatory E1/E2 substitutions typically decrease virus entry dependency on SR-BI. by Christina Holmboe Olesen (11154333)

Recommendations of no-fly zones for the colonies of common terns, Sandwich terns, black headed gulls, herring gulls and lesser black-backed gulls, great cormorants and Eurasian spo... by Estefania Velilla (22566709)

Step-wise evolution of drug resistance via CNV and LOH. by Pétra Vande Zande (17628246)

LOH at <i>KSR1</i> affects cellular lipid profiles, intracellular FLC concentrations, drug efflux, and sterol levels. by Pétra Vande Zande (17628246)

LOH unlinks 189R/R from a stop codon with masking effects on phenotype. by Pétra Vande Zande (17628246)

Stability parameters for SpGrx3 WT and mutants. by Trang Van Tran (16913946)

“…Hydrophilic-to-hydrophobic substitutions were made in the aromatic cluster, in β1 (E5V and Y7F), adjacent β2 (Y32F and Y32L), both β1 and β2 (E5V/Y32L), and short α2 (R47F). …”

Kinetic parameters of SpGrx3 WT and mutants. by Trang Van Tran (16913946)

“…Hydrophilic-to-hydrophobic substitutions were made in the aromatic cluster, in β1 (E5V and Y7F), adjacent β2 (Y32F and Y32L), both β1 and β2 (E5V/Y32L), and short α2 (R47F). …”

<i>T</i>_m values of SpGrx3 WT and mutants. by Trang Van Tran (16913946)

“…Hydrophilic-to-hydrophobic substitutions were made in the aromatic cluster, in β1 (E5V and Y7F), adjacent β2 (Y32F and Y32L), both β1 and β2 (E5V/Y32L), and short α2 (R47F). …”

Correlates of osteogenic differentiation. by Fabian Westhauser (5314436)

Network of genes targeted by miR-6883-5p. by Sherin Bakhashab (3451835)

Osteogenic differentiation of mesenchymal stem cells is enhanced in a 45S5-supplemented β-TCP composite scaffold: an <i>in-vitro</i> comparison of Vitoss and Vitoss BA - Fig 3 by Fabian Westhauser (5314436)

Targeted quantitation in aging worms and in an azyx-1a deletion mutant reveals age-dependent zyx-1 fold change and <i>cis</i> regulation by azyx-1. by Bhavesh S. Parmar (11603824)

Amino acids variations in the Ksr1 protein sequence (including those at positions 189 and 272) across publicly available whole genome sequenced <i>C</i>. <i>albicans</i> isolates. by Pétra Vande Zande (17628246)

Plasmids and oligos used in this study. by Pétra Vande Zande (17628246)

Strains used in this study. by Pétra Vande Zande (17628246)

Nonsense allele results in mislocalization of Ksr1p. by Pétra Vande Zande (17628246)

Patterns of lifetime use of substances by gender. by Daniel Waiganjo Kinyanjui (15877725)

“…The lifetime prevalence of substance use was 41.5%, while that of alcohol use was 36%. For both, a higher mean neuroticism score [substance use- (AOR 1.05, 95%CI; 1, 1.10: p = 0.013); alcohol use- (AOR 1.04, 95%CI; 0.99, 1.09: p = 0.032)] showed increased odds of lifetime use, while a higher mean agreeableness score [substance use- (AOR 0.99, 95%CI; 0.95, 1.02: p = 0.008); alcohol use- (AOR 0.99, 95%CI; 0.95, 1.02: p = 0.032)] showed decreased odds of lifetime use. …”

S1 Data - by Daniel Waiganjo Kinyanjui (15877725)

“…The lifetime prevalence of substance use was 41.5%, while that of alcohol use was 36%. For both, a higher mean neuroticism score [substance use- (AOR 1.05, 95%CI; 1, 1.10: p = 0.013); alcohol use- (AOR 1.04, 95%CI; 0.99, 1.09: p = 0.032)] showed increased odds of lifetime use, while a higher mean agreeableness score [substance use- (AOR 0.99, 95%CI; 0.95, 1.02: p = 0.008); alcohol use- (AOR 0.99, 95%CI; 0.95, 1.02: p = 0.032)] showed decreased odds of lifetime use. …”

Factors associated with substance use. by Daniel Waiganjo Kinyanjui (15877725)

“…The lifetime prevalence of substance use was 41.5%, while that of alcohol use was 36%. For both, a higher mean neuroticism score [substance use- (AOR 1.05, 95%CI; 1, 1.10: p = 0.013); alcohol use- (AOR 1.04, 95%CI; 0.99, 1.09: p = 0.032)] showed increased odds of lifetime use, while a higher mean agreeableness score [substance use- (AOR 0.99, 95%CI; 0.95, 1.02: p = 0.008); alcohol use- (AOR 0.99, 95%CI; 0.95, 1.02: p = 0.032)] showed decreased odds of lifetime use. …”

Factors associated with personality traits. by Daniel Waiganjo Kinyanjui (15877725)

“…The lifetime prevalence of substance use was 41.5%, while that of alcohol use was 36%. For both, a higher mean neuroticism score [substance use- (AOR 1.05, 95%CI; 1, 1.10: p = 0.013); alcohol use- (AOR 1.04, 95%CI; 0.99, 1.09: p = 0.032)] showed increased odds of lifetime use, while a higher mean agreeableness score [substance use- (AOR 0.99, 95%CI; 0.95, 1.02: p = 0.008); alcohol use- (AOR 0.99, 95%CI; 0.95, 1.02: p = 0.032)] showed decreased odds of lifetime use. …”