Unknown

Dataset Information

0

A pull-down procedure for the identification of unknown GEFs for small GTPases.


ABSTRACT: Members of the family of small GTPases regulate a variety of important cellular functions. In order to accomplish this, tight temporal and spatial regulation is absolutely necessary. The two most important factors for this regulation are GTPase activating proteins (GAPs) and guanine nucleotide exchange factors (GEFs), the latter being responsible for the activation of the GTPase downstream pathways at the correct location and time. Although a large number of exchange factors have been identified, it is likely that a similarly large number remains unidentified. We have therefore developed a procedure to specifically enrich GEF proteins from biological samples making use of the high affinity binding of GEFs to nucleotide-free GTPases. In order to verify the results of these pull-down experiments, we have additionally developed two simple validation procedures: An in vitro transcription/translation system coupled with a GEF activity assay and a yeast two-hybrid screen for detection of GEFs. Although the procedures were established and tested using the Rab protein Sec4, the similar basic principle of action of all nucleotide exchange factors will allow the method to be used for identification of unknown GEFs of small GTPases in general.

SUBMITTER: Koch D 

PROVIDER: S-EPMC4905258 | biostudies-literature | 2016 Apr

REPOSITORIES: biostudies-literature

altmetric image

Publications


Members of the family of small GTPases regulate a variety of important cellular functions. In order to accomplish this, tight temporal and spatial regulation is absolutely necessary. The two most important factors for this regulation are GTPase activating proteins (GAPs) and guanine nucleotide exchange factors (GEFs), the latter being responsible for the activation of the GTPase downstream pathways at the correct location and time. Although a large number of exchange factors have been identified  ...[more]

Similar Datasets

| S-EPMC6767298 | biostudies-literature
| S-EPMC6724607 | biostudies-literature
| S-EPMC5129899 | biostudies-literature
| S-EPMC7446397 | biostudies-literature
| S-EPMC10651465 | biostudies-literature
2012-06-30 | E-MEXP-3057 | biostudies-arrayexpress
| S-EPMC3654178 | biostudies-literature
| S-EPMC6774722 | biostudies-literature
| S-EPMC3397943 | biostudies-literature
2016-09-22 | GSE87165 | GEO