Unknown

Dataset Information

0

Differential incorporation of SUN-domain proteins into LINC complexes is coupled to gene expression.


ABSTRACT: LInkers of Nucleoskeleton and Cytoskeleton (LINC) complexes, composed of SUN and KASH-domain proteins, span the nuclear envelope and physically connect the nuclear interior to cytoskeletal elements. Most human cells contain two SUN proteins, Sun1 and Sun2, and several KASH-proteins suggesting that multiple functionally distinct LINC complexes co-exist in the nuclear envelope. We show here, however, that while Sun1 and Sun2 in HeLa cells are each able to bind KASH-domains, Sun1 is more efficiently incorporated into LINC complexes under normal growth conditions. Furthermore, the balance of Sun1 and Sun2 incorporated into LINC complexes is cell type-specific and is correlated with SRF/Mkl1-dependent gene expression. In addition, we found that Sun1 has a LINC complex-independent role in transcriptional control, possibly by regulating the SRF/Mkl1 pathway. Together, these data reveal novel insights into the mechanisms of LINC complex regulation and demonstrate that Sun1 modulates gene expression independently of its incorporation into LINC complexes.

SUBMITTER: May CK 

PROVIDER: S-EPMC5973619 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature

altmetric image

Publications

Differential incorporation of SUN-domain proteins into LINC complexes is coupled to gene expression.

May Christopher K CK   Carroll Christopher W CW  

PloS one 20180529 5


LInkers of Nucleoskeleton and Cytoskeleton (LINC) complexes, composed of SUN and KASH-domain proteins, span the nuclear envelope and physically connect the nuclear interior to cytoskeletal elements. Most human cells contain two SUN proteins, Sun1 and Sun2, and several KASH-proteins suggesting that multiple functionally distinct LINC complexes co-exist in the nuclear envelope. We show here, however, that while Sun1 and Sun2 in HeLa cells are each able to bind KASH-domains, Sun1 is more efficientl  ...[more]

Similar Datasets

| S-EPMC3383001 | biostudies-literature
| S-EPMC3720751 | biostudies-literature
| S-EPMC4896190 | biostudies-other
| S-EPMC6727767 | biostudies-literature
| S-EPMC3017857 | biostudies-literature
| S-EPMC5544124 | biostudies-literature
2016-05-08 | GSE76773 | GEO
| S-EPMC3035119 | biostudies-literature
| S-EPMC5962429 | biostudies-literature
| S-EPMC6219386 | biostudies-literature