BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Talks.cam//talks.cam.ac.uk//
X-WR-CALNAME:Talks.cam
BEGIN:VEVENT
SUMMARY:Engineering model-based systems to monitor and steer subclonal dyn
 amics - Dr Noemi Andor\, Moffitt Cancer Center
DTSTART:20210524T140000Z
DTEND:20210524T150000Z
UID:TALK160726@talks.cam.ac.uk
CONTACT:Florian Markowetz
DESCRIPTION:Primary tumors as well as cancer cell lines have been shown to
  exhibit extensive genetic and transcriptional heterogeneity\, with multip
 le subclones co-existing in the same cancer population. Even after decades
  of in-vitro growth\, established cell cultures continue to evolve. \n\nTh
 e heterogeneity of cancer cell lines over space and time crystallizes into
  three unmet needs: i) cell culture protocols that offer a high temporal r
 esolution on in-vitro growth dynamics\; ii) close monitoring of the tempor
 al separation between genotypic and phenotypic measurements and iii) recon
 ciling the cost-prohibitive nature of high-throughput multi-omic measureme
 nts with ceaseless changes in subclonal composition. \n\nTo fill these nee
 ds\, we propose to engineer how in-vitro and in-silico experiments interac
 t into a modular software solution called CLONEID. CLONEID’s first modul
 e records the pedigree of lineages grown in a lab and uses computer vision
  to monitor phenotypic changes\, such as variable growth rates. The second
  module links subclonal multi-omics profiles from different high throughpu
 t assays to each other and to the phenotypes from the first module.\n\nWe 
 demonstrate feasibility of monitoring phenotypic transitions in cancer cel
 l lines with CLONEID at high temporal resolution\, without any specialized
  equipment. Using this data in conjunction with single cell sequencing of 
 the same cell lines\, we prioritize subclone-specific expression signature
 s of growth. Our framework represents an early step towards more complex m
 athematical models of carcinogenesis\, that do not have to rely on simplif
 ying assumptions that individual driver mutations have equal fitness effec
 ts and that individual subclones have a fixed growth rate.\n\nShort bio:\n
 \nMy Ph.D. in Bioinformatics was under the supervision of Hans Werner Mewe
 s from the Technical University in Munich and Claudia Petritsch from the U
 niversity of California\, San Francisco. Together we developed one of the 
 first algorithms that deconvolutes a tumor’s sequencing data into clones
  that coexist in the tumor biopsy. As a postdoctoral fellow\, together wit
 h Hanlee Ji and Carlo Maley\, I quantified intra-tumor heterogeneity in >1
 000 primary tumors to find that coexistence of multiple clones in the same
  tumor is indeed the norm. As an Instructor at Stanford in Prof. Ji’s la
 b\, I integrated bulk- and single-cell sequencing approaches to zoom into 
 different perspectives of intra-tumor heterogeneity. The newly gained reso
 lution on coexisting clones and their microenvironment puts us in the yet 
 best position to control and steer subclonal evolution.\n \nLinks\n\nhttps
 ://www.linkedin.com/in/noemi-andor-94423157\n\nhttps://moffitt.org/researc
 h-science/researchers/noemi-andor/\n\nhttps://www.cloneredesign.com/our-te
 am
LOCATION:ZOOM (live)
END:VEVENT
END:VCALENDAR