Proteomics

Dataset Information

0

Phosphoproteomic profiling of WNTinib


ABSTRACT: Phosphoproteome profiling small molecule on sensitive and insensitive murineHCC tumour organoids

ORGANISM(S): Mus Musculus (mouse)

SUBMITTER: Ernesto Guccione 

PROVIDER: PXD024958 | JPOST Repository | Thu Mar 16 00:00:00 GMT 2023

REPOSITORIES: jPOST

Dataset's files

Source:
Action DRS
20191129_AR_inputphospho_F.msf Msf
20191129_AR_phospho_F.msf Msf
20191129_AR_phospho_F.pdResult Other
20191129_AR_phospho_F1.raw Raw
20191129_AR_phospho_F2.raw Raw
Items per page:
1 - 5 of 20
altmetric image

Publications

WNTinib is a multi-kinase inhibitor with specificity against β-catenin mutant hepatocellular carcinoma.

Rialdi Alex A   Duffy Mary M   Scopton Alex P AP   Fonseca Frank F   Zhao Julia Nanyi JN   Schwarz Megan M   Molina-Sanchez Pedro P   Mzoughi Slim S   Arceci Elisa E   Abril-Fornaguera Jordi J   Meadows Austin A   Ruiz de Galarreta Marina M   Torre Denis D   Reyes Kyna K   Lim Yan Ting YT   Rosemann Felix F   Khan Zaigham M ZM   Mohammed Kevin K   Wang Xuedi X   Yu Xufen X   Lakshmanan Manikandan M   Rajarethinam Ravisankar R   Tan Soo Yong SY   Jin Jian J   Villanueva Augusto A   Michailidis Eleftherios E   De Jong Ype P YP   Rice Charles M CM   Marazzi Ivan I   Hasson Dan D   Llovet Josep M JM   Sobota Radoslaw M RM   Lujambio Amaia A   Guccione Ernesto E   Dar Arvin C AC  

Nature cancer 20230803 8


Hepatocellular carcinoma (HCC) is a leading cause of cancer-related deaths worldwide. β-Catenin (CTNNB1)-mutated HCC represents 30% of cases of the disease with no precision therapeutics available. Using chemical libraries derived from clinical multi-kinase inhibitor (KI) scaffolds, we screened HCC organoids to identify WNTinib, a KI with exquisite selectivity in CTNNB1-mutated human and murine models, including patient samples. Multiomic and target engagement analyses, combined with rescue expe  ...[more]

Similar Datasets

| PRJEB25635 | ENA
2017-08-30 | PXD005536 | Pride
2011-07-01 | E-GEOD-29122 | biostudies-arrayexpress
2011-07-01 | E-GEOD-29124 | biostudies-arrayexpress
2023-05-03 | GSE213517 | GEO
2017-09-01 | E-MTAB-5713 | biostudies-arrayexpress
2022-04-25 | MSV000089315 | MassIVE
2024-02-22 | E-MTAB-13207 | biostudies-arrayexpress
| PRJNA853306 | ENA
2023-03-09 | GSE224396 | GEO