Laleh Haghverdi - Reconstruction of gene expression dynamics from scRNA-seq data in cell differentiation
| Dates: | 26 October 2020 |
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| Times: | 14:00 - 15:00 |
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| What is it: | Seminar |
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| Organiser: | Department of Mathematics |
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| Who is it for: | University staff, External researchers, Current University students |
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| Speaker: | Laleh Haghverdi |
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(via Zoom)
Join us for this seminar by Laleh Haghverdi (Max Delbruck) as part of the North West Seminar Series in Mathematical Biology and Data Sciences. Details of the full series can be found here https://www.cms.livjm.ac.uk/APMSeminar/
Abstract: Measuring gene activities at the single cell level is important in studies where cell heterogeneities are of particular interest rather than population averages. It is intuitive to consider all biological processes originate from such single-cell level heterogeneous responses and only in a collective response of several cells larger scale observable features arise. The reconstruction of cell lineage trajectories from single-cell RNA-seq data allows us to resolve temporal expression dynamics of several genes from snapshot collected data, which are not accessible in time-laps experiments. The temporal order of gene activities in return, can provide new insights into the gene regulatory networks governing cell differentiation. Does a snapshot of cell states sampled from the non-equilibrium system of cell differentiation provide adequate information for reconstruction of the full dynamical process? What other information are we still missing for this purpose? In my talk I will give an overview of existing approaches to this question covering our contribution on reconstruction of “diffusion pseudotime”.
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Speaker
Laleh Haghverdi
Role: Research Fellow
Organisation: The Max Delbrück Center for Molecular Medicine
Travel and Contact Information
