Table S8 from Characterizing Evolutionary Dynamics Reveals Strategies to Exhaust the Spectrum of Subclonal Resistance in EGFR-Mutant Lung Cancer

Table S8 from Characterizing Evolutionary Dynamics Reveals Strategies to Exhaust the Spectrum of Subclonal Resistance in EGFR-Mutant Lung Cancer

<p>Suppl. Table S8, candidates from CRISPR activation screen</p>

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Bibliographische Detailangaben
1. Verfasser: Nina Müller (16721126) (author)
Weitere Verfasser: Carina Lorenz (16721129) (author), Jenny Ostendorp (16721132) (author), Felix S. Heisel (16721135) (author), Ulrich P. Friese (16721138) (author), Maria Cartolano (16721141) (author), Dennis Plenker (14956116) (author), Hannah Tumbrink (16721144) (author), Alena Heimsoeth (16721147) (author), Philipp Baedeker (16721150) (author), Jonathan Weiss (16721153) (author), Sandra Ortiz-Cuaran (15439111) (author), Reinhard Büttner (15135528) (author), Martin Peifer (15135504) (author), Roman K. Thomas (15135513) (author), Martin L. Sos (15090597) (author), Johannes Berg (16721156) (author), Johannes Brägelmann (15030440) (author)
Veröffentlicht: 2025
Schlagworte:
Cancer
Tumor Biology
Therapeutic Research and Development
Methods and Technology
Computational Methods
Mathematical modeling
Drug Resistance
Lung Cancer
Tumor Evolution
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Zusammenfassung:<p>Suppl. Table S8, candidates from CRISPR activation screen</p>

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