Advanced search

Filter By:

Journal Check one or more journals to show results from those journals only.

Choose more journals

Article type Check one or more article types to show results from those article types only.
Subject Check one or more subjects to show results from those subjects only.
Date Choose a date option to show results from those dates only.

Custom date range

Clear all filters
Sort by:
Showing 1–4 of 4 results
Advanced filters: Author: Gryte Satas Clear advanced filters

  • A combined sequencing technique assesses 18 patients with high-grade serous ovarian cancer over a multi-year period from diagnosis to recurrence and shows drug resistance typically arises from selective expansion of one or a few clones present at diagnosis.

    • Marc J. Williams
    • Ignacio Vázquez-García
    • Sohrab P. Shah
    ResearchOpen Access
    Nature
    Volume: 647, P: 757-765

  • A single-cell sequencing study using more than 30,000 tumour genomes from human ovarian cancers shows that whole-genome doubling is an ongoing mutational process that drives tumour evolution and disrupts immunity.

    • Andrew McPherson
    • Ignacio Vázquez-García
    • Sohrab P. Shah
    ResearchOpen Access
    Nature
    Volume: 644, P: 1078-1087

  • Quantifying the impact of copy-number alterations (CNAs) on gene expression at the subclone level in cancer remains a challenge. Here, the authors develop TreeAlign, a method that integrates sample-matched single-cell DNA and RNA sequencing data to infer the impact of CNAs on subclonal gene expression.

    • Hongyu Shi
    • Marc J. Williams
    • Sohrab P. Shah
    ResearchOpen Access
    Nature Communications
    Volume: 15, P: 1-13

  • MACHINA is an algorithm that analyzes metastatic cancer sequence data to simultaneously infer clone trees and migration histories. Analysis of different metastatic cancer datasets provides more evidence for simple, rather than complex, migration patterns.

    • Mohammed El-Kebir
    • Gryte Satas
    • Benjamin J. Raphael
    Research
    Nature Genetics
    Volume: 50, P: 718-726