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SERS-Based Evaluation of the DNA Methylation Pattern Associated With Progression in Clonal Leukemogenesis of Down Syndrome

Here we show that surface-enhanced Raman scattering (SERS) analysis captures the relative hypomethylation of DNA from patients with acute leukemia associated with Down syndrome (AL-DS) compared with patients diagnosed with transient leukemia associated with Down syndrome (TL-DS), an information infe...

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Detalles Bibliográficos
Autores principales: Moisoiu, Vlad, Sas, Valentina, Stefancu, Andrei, Iancu, Stefania D., Jurj, Ancuta, Pasca, Sergiu, Iluta, Sabina, Zimta, Alina-Andreea, Tigu, Adrian B., Teodorescu, Patric, Turcas, Cristina, Blag, Cristina, Dima, Delia, Popa, Gheorghe, Arghirescu, Smaranda, Man, Sorin, Colita, Anca, Leopold, Nicolae, Tomuleasa, Ciprian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8343173/
https://www.ncbi.nlm.nih.gov/pubmed/34368097
http://dx.doi.org/10.3389/fbioe.2021.703268
Descripción
Sumario:Here we show that surface-enhanced Raman scattering (SERS) analysis captures the relative hypomethylation of DNA from patients with acute leukemia associated with Down syndrome (AL-DS) compared with patients diagnosed with transient leukemia associated with Down syndrome (TL-DS), an information inferred from the area under the SERS band at 1005 cm(–1) attributed to 5-methycytosine. The receiver operating characteristic (ROC) analysis of the area under the SERS band at 1005 cm(–1) yielded an area under the curve (AUC) of 0.77 in differentiating between the AL-DS and TL-DS groups. In addition, we showed that DNA from patients with non-DS myeloproliferative neoplasm (non-DS-MPN) is hypomethylated compared to non-DS-AL, the area under the SERS band at 1005 cm(–1) yielding an AUC of 0.78 in separating between non-DS-MPN and non-DS-AL. Overall, in this study, the area of the 1005 cm(–1) DNA SERS marker band shows a stepwise decrease in DNA global methylation as cells progress from a pre-leukemia to a full-blown acute leukemia, highlighting thus the potential of SERS as an emerging method of analyzing the methylation landscape of DNA in the context of leukemia genesis and progression.