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SUMMARY:BMI Distinguished Seminar // Igor Adameyko: Clonal analysis at sin
 gle cell level helps to understand neural crest development
DTSTART:20241113T121500
DTEND:20241113T131500
DTSTAMP:20260916T034337Z
UID:2559cab50f4640968445e023517ea39a0212f9c64e7bbd238d28dfaf
CATEGORIES:Conferences - Seminars
DESCRIPTION:Igor Adameyko\, Karolinska & MedUni\, Wien\, Austria\nUndersta
 nding embryonic development requires a detailed grasp of clonal fate biasi
 ng and spatial regulation within tissues. Here I will present an integrate
 d approach to analyze cell lineages and transcriptional states in mammalia
 n embryos from neurulation to mid-gestation. Utilizing high-throughput sin
 gle-cell clonal tracing and unsupervised machine learning\, we mapped cont
 inuous spectra of clonal fate bias\, uncovering spatial and temporal contr
 ol over cell lineage decisions. Key findings revealed that patterns of clo
 nal variation align with gene programs driving skeletal and neurogenic dif
 ferentiation. Employing the novel "clone2vec" algorithm\, inspired by word
  embeddings\, we captured clonal fates in a latent space\, permitting robu
 st dropout resistance and analysis of heterogeneity within mesodermal and 
 ectodermal derivatives. Additionally\, mosaic perturbations of signaling r
 eceptors\, such as those in the Hedgehog pathway\, created unique cell typ
 e assemblages in vivo\, suggesting applications in tissue engineering and 
 disease modeling
LOCATION:SV 1717 https://plan.epfl.ch/?room==SV%201717 https://epfl.zoom.u
 s/j/64813563657
STATUS:CONFIRMED
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