Associated Papers
Neoantigenic properties of TP53 variants influence cancer risk in individuals with Li-Fraumeni syndrome.
Montellier E et al.
Ebiomedicine, 2026
41370968 (PubMed )
Supplement: mmc2.xlsx › Table_S1
A quantitative, Bayesian-informed approach to gene-specific variant classification: Updated Expert Panel recommendations improve classification of TP53 germline variants for Li-Fraumeni syndrome.
Fortuno C et al.
Genome Medicine, 2025
41126324 (PubMed )
Supplement: 13073_2025_1536_MOESM2_ESM.xlsx › Table_S2
Structural and mechanistic diversity in p53-mediated regulation of organismal longevity across taxonomical orders.
Osbourne R et al.
Plos Computational Biology, 2025
Clustering of TP53 variants into functional classes correlates with cancer risk and identifies different phenotypes of Li-Fraumeni syndrome.
Montellier E et al.
Iscience, 2024
39634561 (PubMed )
Supplement: mmc2.xlsx › TableS1
Colorimetric detection of single-nucleotide mutations based on rolling circle amplification and G-quadruplex-based DNAzyme.
Ouedraogo SY et al.
Analytical Methods : Advancing Methods and Applications, 2024
Comprehensive classification of TP53 somatic missense variants based on their impact on p53 structural stability.
Tam B et al.
Briefings in Bioinformatics, 2024
39140857 (PubMed )
Supplement: table_s1_bbae400.xlsx › Sheet1
Different impacts of TP53 mutations on cell cycle-related gene expression among cancer types.
Sasaki K et al.
Scientific Reports, 2023
36964217 (PubMed )
Supplement: 41598_2023_32092_MOESM1_ESM.xlsx › Suppl._table_S1
Prediction of protein stability changes upon single-point variant using 3D structure profile.
Gong J et al.
Computational and Structural Biotechnology Journal, 2023
36582438 (PubMed )
Supplement: mmc1.docx
BRCA1, BRCA2, TP53, PIK3CA, PTEN and AKT1 genes mutations in Burkina Faso breast cancer patients: prevalence, spectrum and novel variant.
Ouedraogo SY et al.
Molecular Genetics and Genomics : Mgg, 2022
Mosaicism in Tumor Suppressor Gene Syndromes: Prevalence, Diagnostic Strategies, and Transmission Risk.
Chen JL et al.
Annual Review of Genomics and Human Genetics, 2022
36044908 (PubMed )
Supplement: gg23-giannikou_suptable1.xlsx › TP53
Analysis and Interpretation of the Impact of Missense Variants in Cancer.
Petrosino M et al.
International Journal of Molecular Sciences, 2021
34063805 (PubMed )
Supplement: ijms-22-05416-s001.zip › new_supplementary_file1.xlsx › new_supplementary_file1
Reproducible Analysis of Post-Translational Modifications in Proteomes--Application to Human Mutations.
Holehouse AS et al.
Plos One, 2015
26659599 (PubMed )
Supplement: pone.0144692.s002.xlsx › suppTable_2.txt
Comparative sequencing analysis reveals high genomic concordance between matched primary and metastatic colorectal cancer lesions.
Brannon AR et al.
Genome Biology, 2014
25164765 (PubMed )
Supplement: 13059_2014_454_MOESM1_ESM.xlsx › Sheet1
mCSM: predicting the effects of mutations in proteins using graph-based signatures.
Pires DE et al.
Bioinformatics (oxford, England), 2014
24281696 (PubMed )
Supplement: supp_btt691_suppl.pdf
Epidemiology of doublet/multiplet mutations in lung cancers: evidence that a subset arises by chronocoordinate events.
Chen Z et al.
Plos One, 2008
19005564 (PubMed )
Supplement: pone.0003714.s007.xls › Table_s-5
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