Bioinformatic analysis of single-cell genomes: applications in chronic lymphocytic leukemia

• Autores: Tamara Prieto Fernández
• Directores de la Tesis: David Posada González (dir. tes.)
• Lectura: En la Universidade de Vigo ( España ) en 2020
• Idioma: inglés
• Tribunal Calificador de la Tesis: Carlos Alberto Canchaya Sánchez (presid.), Alba Rodríguez Meira (secret.), Federico Abascal Sebastián de Erice (voc.)
• Programa de doctorado: Programa de Doctorado en Metodología y Aplicaciones en Ciencias de la Vida por la Universidad de Vigo
• Materias:
  • Ciencias de la vida
    • Genética
    • Biología molecular
• Enlaces
  • Tesis en acceso abierto en: Investigo
• Resumen

  • Single-cell DNA sequencing (scDNA-seq) has the potential to transform our knowledge of genomic variation among somatic cells, including cancer onset, progression and treatment. However, scDNA-seq entails a complex pipeline with multiple potential biases. In this thesis, I provide a better understanding of the sources of technical noise in scDNA-seq datasets, in particular in relation to their relevance when carrying out comparative and evolutionary analyses of cell populations. In addition, I use scDNA-seq to illustrate how in chronic lymphocytic leukemia (CLL) more than one cell lineage can resist drug therapy, that multiple migrations can occur between the bone marrow and the blood, and how CLL cells might be dividing faster in the blood than in the bone marrow.