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PRODID:-//Memento EPFL//
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SUMMARY:BMI Progress Reports 2021 // Dr. La Manno's Lab:  A. Lederer - Int
 rinsically consistent RNA velocity estimation unveils cell cycle speed dyn
 amics in neurodevelopment
DTSTART:20210428T121500
DTEND:20210428T130000
DTSTAMP:20260510T022752Z
UID:ca7d7efb7a83fc79b7f8f91809bf6f64318cb5d54c5a63193bd5d6df
CATEGORIES:Conferences - Seminars
DESCRIPTION: A. Lederer\nSingle-cell RNA sequencing (scRNA-seq) has trans
 formed the study of complex biological systems by enabling gene expression
  measurements for thousands of individual cells. RNA velocity\, using the 
 unspliced and spliced RNA content captured during sequencing\, introduced 
 vector fields in a low dimensional space to infer a relative rate of chang
 e in gene expression. This opened the way towards temporal interpretations
  of biological processes from scRNA-seq. While the dimensionality of cellu
 lar differentiation variables is often high\, the cell cycle\, one of the 
 main drivers of cell-to-cell heterogeneity\, tends to unwind on lower-dime
 nsional manifolds. We expand upon the concept of RNA velocity further by f
 ormulating the problem in terms of an autonomous dynamical system and infe
 rring a consistent model for cell cycle dynamics on a periodic manifold. W
 e validate our approach on simulated data and proliferating RPE1 FUCCI cel
 ls. Moreover\, we apply our method to radial glial progenitors of the deve
 lopment mouse brain\, revealing distinct proliferation modes in a regional
 ized and time-dependent manner. Together with multimodal omics methods\, w
 e hope to explore patterning of the anterior neural tube. These efforts wi
 ll yield a powerful tool for the estimation of consistent RNA velocities a
 nd provide novel insight into nervous system development.\n 
LOCATION:Onlinie
STATUS:CONFIRMED
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