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PXD048530

PXD048530 is an original dataset announced via ProteomeXchange.

Dataset Summary
TitleIdentification by Shotgun Proteomics with Q-Exactive Hybrid Quadripole-Orbitrap High Resolution Tandem Mass-Spectrometry, Histone isoforms’ Hypermethylation Phenotype as A Hallmark Characteristic of Human-IDH-Mutant High-Grade Gliomas
DescriptionHistone variant-post-translational modifications (PTMs) have been allied to various pathological processes, especially in cancer-onset, envisaged as obvious epigenetic biomarkers-based genotoxicity and as predictors for pathological diagnosis and prognosis. Consequently, their mapping and characterization constitute a critical field of study facilitated by the recent advances in the Mass spectrometry (MS) high-throughput technique, which has emerged as the most powerful tool to achieve insights into chromatin biology and epigenetics. The current study endeavored to the analysis of histone-isoforms’ methylation in neural cells induced by environmental stressors such as pesticides. Our protocol consisted first of a 3D in-vitro developing neurospheroid model derived from human IDH-mutant high-grade gliomas, then treatment by pesticide mixture at the inhibitory concentration IC50. Afterwards, histones were extracted, precipitated, and derivatized by propionylation prior trypsin digestion for analysis by the most popular bottom-up proteomics-based approach using a nano flow-UHPLC coupeled to Q Exactive HF hybrid quadrupole-Orbitrap high resolution tandem mass spectrometry. Raw MS files were searched against human protein database based on the species of the samples using the MAXQUANT software. The ionization was performed in a positive-ion mode and the mass spectrometer was operated in the data-dependent acquisition (DDA) mode. Histone isoforms’ methylation were validated manually by De novo peptide sequencing using the “PEAKS STUDIO” software package, which consisted in comparing the MS/MS spectra of peptide sequences between treated and non-treated spheroids. The results revealed a hypermethylation phenotype in histone isoforms, which is a hallmark characteristic of Isocitrate-Dehydrogenase (IDH)-mutated high-grade gliomas, envisaged as an adaptive strategy adapted by cancer cells to overcome stress and promote invasiveness.
HostingRepositoryMassIVE
AnnounceDate2025-07-18
AnnouncementXMLSubmission_2025-07-18_09:58:45.711.xml
DigitalObjectIdentifier
ReviewLevelPeer-reviewed dataset
DatasetOriginOriginal dataset
RepositorySupportUnsupported dataset by repository
PrimarySubmitterKAOUTHAR
SpeciesList scientific name: Homo sapiens; common name: human; NCBI TaxID: 9606;
ModificationListMethyl
Instrumentinstrument model
Dataset History
RevisionDatetimeStatusChangeLog Entry
02024-01-14 09:09:56ID requested
12025-07-18 09:58:46announced
Publication List
Kaouthar Louati, Fatma Kolsi, Manel Mellouli, Hanen Louati, Rania Zribi, Rim Kallel, Mahdi Borni, Yassine Gdoura, Leila Sellami Hakim, Amina Maalej, Sirine Choura, Mohamed Chamkha, Sami Sayadi, Basma Mnif, Zouheir Khemakhem, Tahya Sellami Boudawara, Mohamed Zaher Boudawara, Abderrahman Bouraoui, Jamil Kraiem, Fathi Safta. The Identification by Shotgun Proteomics with High-Resolution Tandem Mass-Spectrometry of Histone Isoforms’ Hypermethylation Phenotype as a Hallmark Characteristic of Human-IDH-Mutant High-Grade Gliomas: Epigenetic Applications for Genotoxicity-Based Biomarkers and Cancer Therapy Targets. J. Proteome Res. 2025, https://doi.org/10.1021/acs.jproteome.5c00158
Published July 18, 2025.
Keyword List
submitter keyword: Histone Post-Translational Modifications, Epigenetics, Neurospheroids, Tandem Mass Spectrometry, Genotoxicity, Biomarkers, De novo peptide sequencing., Histone-isoforms, High-grade gliomas, Grade-IV astrocytomas, Hypermethylation, Bottom-up proteomic-based approach
Contact List
Kaouthar Louati
contact affiliationUniversity of Monastir, Faculty of Pharmacy, Laboratory of Chemical, Pharmacological and Galenic Drug Development- LR12ES09, Road Avicenne 5000, Monastir, Tunisia
contact emailkaouthar.louati@fphm.u-monastir.tn
lab head
KAOUTHAR
contact affiliationUniversity of Monastir, Faculty of Pharmacy,
contact emailkaoutharlouati66@gmail.com
dataset submitter
Full Dataset Link List
MassIVE dataset URI
Dataset FTP location
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