Skip to Main Content (Press Enter)

Logo UNISR
  • ×
  • Home
  • Persone
  • Pubblicazioni
  • Facoltà
  • Ambiti Di Ricerca

UNIFIND
Logo UNISR

|

UNIFIND

unisr.it
  • ×
  • Home
  • Persone
  • Pubblicazioni
  • Facoltà
  • Ambiti Di Ricerca
  1. Pubblicazioni

Dissecting Intra-Tumor Heterogeneity by the Analysis of Copy Number Variations in Single Cells: The Neuroblastoma Case Study

Articolo
Data di Pubblicazione:
2019
Citazione:
Dissecting Intra-Tumor Heterogeneity by the Analysis of Copy Number Variations in Single Cells: The Neuroblastoma Case Study / Cariati, Federica; Borrillo, Francesca; Shankar, Varun; Nunziato, Marcella; D'Argenio, Valeria; Tomaiuolo, Rossella. - In: INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES. - ISSN 1422-0067. - 20:4(2019), p. 893. [10.3390/ijms20040893]
Abstract:
Tumors often show intra-tumor heterogeneity because of genotypic differences between all the cells that compose it and that derive from it. Recent studies have shown significant aspects of neuroblastoma heterogeneity that may affect the diagnostic-therapeutic strategy. Therefore, we developed a laboratory protocol, based on the combination of the advanced dielectrophoresis-based array technology and next-generation sequencing to identify and sort single cells individually and carry out their copy number variants analysis. The aim was to evaluate the cellular heterogeneity, avoiding overestimation or underestimation errors, due to a bulk analysis of the sample. We tested the above-mentioned protocol on two neuroblastoma cell lines, SK-N-BE(2)-C and IMR-32. The presence of several gain or loss chromosomal regions, in both cell lines, shows a high heterogeneity of the copy number variants status of the single tumor cells, even if they belong to an immortalized cell line. This finding confirms that each cell can potentially accumulate different alterations that can modulate its behavior. The laboratory protocol proposed herein provides a tool able to identify prevalent behaviors, and at the same time highlights the presence of particular clusters that deviate from them. Finally, it could be applicable to many other types of cancer.
Tipologia CRIS:
1.1 Articolo in rivista
Keywords:
chromosomal pattern; copy number variations; intra-tumor heterogeneity; next-generation sequencing; single cell isolation; whole genome amplification; Catalysis; Molecular Biology; Spectroscopy; Computer Science Applications1707 Computer Vision and Pattern Recognition; Physical and Theoretical Chemistry; Organic Chemistry; Inorganic Chemistry
Elenco autori:
Cariati, Federica; Borrillo, Francesca; Shankar, Varun; Nunziato, Marcella; D'Argenio, Valeria; Tomaiuolo, Rossella
Autori di Ateneo:
TOMAIUOLO ROSSELLA
Link alla scheda completa:
https://iris.unisr.it/handle/20.500.11768/111506
Pubblicato in:
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
Journal
  • Utilizzo dei cookie

Realizzato con VIVO | Designed by Cineca | 26.5.1.0