scholarly journals Lipid binding specificity of bovine α-lactalbumin: A multidimensional approach

2014 ◽  
Vol 1838 (8) ◽  
pp. 2078-2086 ◽  
Author(s):  
Arunima Chaudhuri ◽  
Amitabha Chattopadhyay
Biochemistry ◽  
2005 ◽  
Vol 44 (9) ◽  
pp. 3432-3440 ◽  
Author(s):  
Lindsey M. Johnson ◽  
Kristy M. James ◽  
M. Dean Chamberlain ◽  
Deborah H. Anderson

2018 ◽  
Vol 38 (18) ◽  
Author(s):  
Kelsey N. Maxwell ◽  
Yong Zhou ◽  
John F. Hancock

ABSTRACT Rac1 is a small guanine nucleotide binding protein that cycles between an inactive GDP-bound and active GTP-bound state to regulate cell motility and migration. Rac1 signaling is initiated from the plasma membrane (PM). Here, we used high-resolution spatial mapping and manipulation of PM lipid composition to define Rac1 nanoscale organization. We found that Rac1 proteins in the GTP- and GDP-bound states assemble into nonoverlapping nanoclusters; thus, Rac1 proteins undergo nucleotide-dependent segregation. Rac1 also selectively interacts with phosphatidic acid (PA) and phosphoinositol (3,4,5)-trisphosphate (PIP3), resulting in nanoclusters enriched in these lipids. These lipids are structurally important because depleting the PM of PA or PIP3 impairs both Rac1 PM binding and Rac1 nanoclustering. Lipid binding specificity of Rac1 is encoded in the amino acid sequence of the polybasic domain (PBD) of the C-terminal membrane anchor. Point mutations within the PBD, including arginine-to-lysine substitutions, profoundly alter Rac1 lipid binding specificity without changing the electrostatics of the protein and result in impaired macropinocytosis and decreased cell spreading. We propose that Rac1 nanoclusters act as lipid-based signaling platforms emulating the spatiotemporal organization of Ras proteins and show that the Rac1 PBD-prenyl anchor has a biological function that extends beyond simple electrostatic engagement with the PM.


2002 ◽  
Vol 277 (35) ◽  
pp. 31842-31849 ◽  
Author(s):  
Sung Hoon Lee ◽  
Jing Bo Jin ◽  
Jinhee Song ◽  
Myung Ki Min ◽  
Dae Sup Park ◽  
...  

Structure ◽  
1996 ◽  
Vol 4 (7) ◽  
pp. 785-800 ◽  
Author(s):  
Christian Lücke ◽  
Fengli Zhang ◽  
Heinz Rüterjans ◽  
James A Hamilton ◽  
James C Sacchettini

2015 ◽  
Vol 23 (2) ◽  
pp. 47-59 ◽  
Author(s):  
Nadine Langguth ◽  
Tanja Könen ◽  
Simone Matulis ◽  
Regina Steil ◽  
Caterina Gawrilow ◽  
...  

During adolescence, physical activity (PA) decreases with potentially serious, long-term consequences for physical and mental health. Although barriers have been identified as an important PA correlate in adults, research on adolescents’ PA barriers is lacking. Thus reliable, valid scales to measure adolescents’ PA barriers are needed. We present two studies describing a broad range of PA barriers relevant to adolescents with a multidimensional approach. In Study 1, 124 adolescents (age range = 12 – 24 years) reported their most important PA barriers. Two independent coders categorized those barriers. The most frequent PA barriers were incorporated in a multidimensional questionnaire. In Study 2, 598 adolescents (age range = 13 – 21 years) completed this questionnaire and reported their current PA, intention, self-efficacy, and negative outcome expectations. Seven PA barrier dimensions (leisure activities, lack of motivation, screen-based sedentary behavior, depressed mood, physical health, school workload, and preconditions) were confirmed in factor analyses. A multidimensional approach to measuring PA barriers in adolescents is reliable and valid. The current studies provide the basis for developing individually tailored interventions to increase PA in adolescents.


1999 ◽  
Vol 44 (3) ◽  
pp. 237-238
Author(s):  
Donald E. Polkinghorne

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