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PXD035626

PXD035626 is an original dataset announced via ProteomeXchange.

Dataset Summary
TitleUsing global proteomics to investigate the effect of IQDMA treatment on Leukemic forms of cutaneous T-cell lymphomas (L-CTCL) cells
DescriptionLeukemic cutaneous T-cell lymphomas (L-CTCL) are lymphoproliferative disorders of skin-homing mature T-cells causing chronic inflammation, tissue destruction, severe infections and sepsis, all linked to poor quality of life and high mortality. Despite numerous sequencing efforts in L-CTCL, recurrent driver mutations have not been identified, but chromosomal losses and gains are frequent and dominant. We integrated genomic landscape analysis with innovative pharmacologic interference studies to identify key vulnerable nodes in L-CTCL. In order to examine IQDMA-specific effects in an unbiased and dose-dependent manner without limiting the analysis to only kinases, we carried out global proteomics profiling in SeAx cells after 24 h treatment with 1, 2.5 and 10 µM IQDMA. The differential proteins affected in response to increasing IQDMA concentrations were found to be related to multiple cellular processes in metabolism, ribosomal RNA processing/modification, protein translation, and surprisingly keratinization.. Dual inhibition of STAT3/5 using small molecule degraders abolished L-CTCL cell growth in vitro. Furthermore, upstream broad range kinase targeting through IQDMA, a newly classified multi-kinase inhibitor, revealed a pharmacologic opportunity to alternatively block the STAT3/5 pathway by inhibiting the PAK2 serine/threonine kinase, which was very effective in patient cells carrying STAT3/5 copy number gains and in vivo in reducing tumor growth and disease dissemination in an intradermal xenograft mouse model. In summary, we conclude that STAT3/5 and PAK2 are new therapy targets to be further explored in L-CTCL.
HostingRepositoryPRIDE
AnnounceDate2023-11-14
AnnouncementXMLSubmission_2023-11-14_08:40:49.329.xml
DigitalObjectIdentifier
ReviewLevelPeer-reviewed dataset
DatasetOriginOriginal dataset
RepositorySupportUnsupported dataset by repository
PrimarySubmitterAbootaleb Sedighi
SpeciesList scientific name: Homo sapiens (Human); NCBI TaxID: 9606;
ModificationListmonohydroxylated residue; deamidated residue; iodoacetamide derivatized residue
InstrumentOrbitrap Fusion Lumos
Dataset History
RevisionDatetimeStatusChangeLog Entry
02022-07-29 07:17:52ID requested
12023-03-11 02:32:14announced
22023-11-14 08:40:54announced2023-11-14: Updated project metadata.
Publication List
Sorger H, Dey S, Vieyra-Garcia PA, P, ö, l, ö, ske D, Teufelberger AR, de Araujo ED, Sedighi A, Graf R, Spiegl B, Lazzeri I, Braun T, Garces de Los Fayos Alonso I, Schlederer M, Timelthaler G, Kodajova P, Pirker C, Surbek M, Machtinger M, Graier T, Perchthaler I, Pan Y, Fink-Puches R, Cerroni L, Ober J, Otte M, Albrecht JD, Tin G, Abdeldayem A, Manaswiyoungkul P, Olaoye OO, Metzelder ML, Orlova A, Berger W, Wobser M, Nicolay JP, Andr, é F, Nguyen VA, Neubauer HA, Fleck R, Merkel O, Herling M, Heitzer E, Gunning PT, Kenner L, Moriggl R, Wolf P, Blocking STAT3/5 through direct or upstream kinase targeting in leukemic cutaneous T-cell lymphoma. EMBO Mol Med, 14(12):e15200(2022) [pubmed]
Keyword List
submitter keyword: global proteomics, kinase,cutaneous T-cell lymphomas (L-CTCL)
Contact List
Patrick Gunning
contact affiliationDepartment of Chemical and Physical Sciences, University of Toronto Mississauga, Mississauga, Canada
contact emailpatrick.gunning@utoronto.ca
lab head
Abootaleb Sedighi
contact affiliationResearch Associate
contact emailtaleb.sedighi@utoronto.ca
dataset submitter
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Dataset FTP location
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