Summary of ssbd-repos-000257

SSBD:database
URL

Name
ssbd-repos-000257 (257-Kubota-ERKActivity)
URL
DOI
-

Title
Time-lapse confocal images of ERK1-EGFP for MEK1-WT or MEK1-mutations after EGF stimulation.
Description
-
Submited Date
-
Release Date
2023-03-22
Updated Date
-
License
Funding information
-
File formats
Data size
141.6 MB

Organism
Homo sapiens
Strain
-
Cell Line
HEK293
Genes
-
Proteins
ERK1, MEK1

GO Molecular Function (MF)
MAP kinase activity
GO Biological Process (BP)
MAPK cascade
GO Cellular Component (CC)
-
Study Type
-
Imaging Methods
time lapse microscopy

Method Summary
-
Related paper(s)

Yuji Kubota, Yuko Fujioka, Ashwini Patil, Yusuke Takagi, Daisuke Matsubara, Masatomi Iijima, Isao Momose, Ryosuke Naka, Kenta Nakai, Nobuo N Noda, Mutsuhiro Takekawa (2022) Qualitative differences in disease-associated MEK mutants reveal molecular signatures and aberrant signaling-crosstalk in cancer., Nature communications, Volume 13, Number 1, pp. 4063

Published in 2022 Jul 13 (Electronic publication in July 13, 2022, midnight )

(Abstract) Point-mutations of MEK1, a central component of ERK signaling, are present in cancer and RASopathies, but their precise biological effects remain obscure. Here, we report a mutant MEK1 structure that uncovers the mechanisms underlying abnormal activities of cancer- and RASopathy-associated MEK1 mutants. These two classes of MEK1 mutations differentially impact on spatiotemporal dynamics of ERK signaling, cellular transcriptional programs, gene expression profiles, and consequent biological outcomes. By making use of such distinct characteristics of the MEK1 mutants, we identified cancer- and RASopathy-signature genes that may serve as diagnostic markers or therapeutic targets for these diseases. In particular, two AKT-inhibitor molecules, PHLDA1 and 2, are simultaneously upregulated by oncogenic ERK signaling, and mediate cancer-specific ERK-AKT crosstalk. The combined expression of PHLDA1/2 is critical to confer resistance to ERK pathway-targeted therapeutics on cancer cells. Finally, we propose a therapeutic strategy to overcome this drug resistance. Our data provide vital insights into the etiology, diagnosis, and therapeutic strategy of cancers and RASopathies.
(MeSH Terms)

Contact(s)
Mutsuhiro Takekawa
Organization(s)
The University of Tokyo , Institute of Medical Science , Division of Cell Signaling and Molecular Medicine
Image Data Contributors
Quantitative Data Contributors

Download files
Download zipped files