scholarly journals Functional Analysis of the Tomato Immune Receptor Ve1 through Domain Swaps with Its Non-Functional Homolog Ve2

PLoS ONE ◽  
2014 ◽  
Vol 9 (2) ◽  
pp. e88208 ◽  
Author(s):  
Emilie F. Fradin ◽  
Zhao Zhang ◽  
Hanna Rovenich ◽  
Yin Song ◽  
Thomas W. H. Liebrand ◽  
...  
2016 ◽  
Vol 6 (1) ◽  
Author(s):  
Hiroki Omura ◽  
Daisuke Oikawa ◽  
Takanori Nakane ◽  
Megumi Kato ◽  
Ryohei Ishii ◽  
...  

1995 ◽  
Vol 270 (30) ◽  
pp. 18110-18116 ◽  
Author(s):  
Robert T. Pu ◽  
Gang Xu ◽  
Liping Wu ◽  
John Vierula ◽  
Kerry O'Donnell ◽  
...  

2020 ◽  
Vol 21 (23) ◽  
pp. 8938
Author(s):  
Sebastian Piłsyk ◽  
Urszula Perlinska-Lenart ◽  
Anna Janik ◽  
Elżbieta Gryz ◽  
Marta Ajchler-Adamska ◽  
...  

In a wide range of organisms, dolichyl phosphate mannose (DPM) synthase is a complex of tree proteins Dpm1, Dpm2, and Dpm3. However, in the yeast Saccharomyces cerevisiae, it is believed to be a single Dpm1 protein. The function of Dpm3 is performed in S. cerevisiae by the C-terminal transmembrane domain of the catalytic subunit Dpm1. Until present, the regulatory Dpm2 protein has not been found in S. cerevisiae. In this study, we show that, in fact, the Yil102c-A protein interacts directly with Dpm1 in S. cerevisiae and influences its DPM synthase activity. Deletion of the YIL102c-A gene is lethal, and this phenotype is reversed by the dpm2 gene from Trichoderma reesei. Functional analysis of Yil102c-A revealed that it also interacts with glucosylphosphatidylinositol-N-acetylglucosaminyl transferase (GPI-GnT), similar to DPM2 in human cells. Taken together, these results show that Yil102c-A is a functional homolog of DPMII from T. reesei and DPM2 from humans.


2003 ◽  
Vol 19 (3) ◽  
pp. 164-174 ◽  
Author(s):  
Stephen N. Haynes ◽  
Andrew E. Williams

Summary: We review the rationale for behavioral clinical case formulations and emphasize the role of the functional analysis in the design of individualized treatments. Standardized treatments may not be optimally effective for clients who have multiple behavior problems. These problems can affect each other in complex ways and each behavior problem can be influenced by multiple, interacting causal variables. The mechanisms of action of standardized treatments may not always address the most important causal variables for a client's behavior problems. The functional analysis integrates judgments about the client's behavior problems, important causal variables, and functional relations among variables. The functional analysis aids treatment decisions by helping the clinician estimate the relative magnitude of effect of each causal variable on the client's behavior problems, so that the most effective treatments can be selected. The parameters of, and issues associated with, a functional analysis and Functional Analytic Clinical Case Models (FACCM) are illustrated with a clinical case. The task of selecting the best treatment for a client is complicated because treatments differ in their level of specificity and have unequally weighted mechanisms of action. Further, a treatment's mechanism of action is often unknown.


1958 ◽  
Vol 3 (6) ◽  
pp. 158-160
Author(s):  
LAWRENCE SCHLESINGER

1973 ◽  
Author(s):  
Robert M. Leve ◽  
Lydia Burdick ◽  
Patricia Fontaine

2011 ◽  
Author(s):  
Stella Tamburello ◽  
Paolo Scapellato ◽  
Anna Contardi ◽  
Ettore De Monte ◽  
Loredana Rosiello

Sign in / Sign up

Export Citation Format

Share Document