20 декабря 2019, 14:00
DECEMBER 20th, 2019. 2.00 p.m.
Skolkovo Institute of Science and Technology, New Campus, E-B4-3007


Seminar by Prof. Peter Kharchenko
Comparative analysis of disease-oriented single-cell transcriptional dataset collections
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From Prof. Kharchenko to CNBR_Open participants:

Single-cell RNA-seq assays are being increasingly applied in complex study designs, which involve measurements of many samples, commonly spanning multiple individuals, conditions, or tissue compartments. Joint analysis of such extensive, and often heterogeneous, sample collections requires a way of identifying and tracking recurrent cell subpopulations across the entire collection, and an effective way of exploring contrasts between samples.

We develop comparative approaches for analysis of case-control study designs, commonly used to study the impact of disease or a drug on a particular tissue. The analysis starts by establishing probabilistic mapping – a joint graph – connecting all cells within the collection.

The graph can then be used to propagate information between samples and to identify cell communities that show consistent grouping across broad subsets of the collected samples. The contrast between conditions is then formulated in terms of
i) compositional shifts between different cell populations,
ii) transcriptional shifts within the distinct cell populations, and
iii) within-group expression state variability.

The compositional data analysis techniques are applied in the context of cell types hierarchies to suggest most parsimonious explanation of the changes. The differential expression analysis is used to identify most affected cell types, and characterize the likely functional interpretation of the cell type-specific changes.

We illustrate the application of these methods in the context of different studies of human disease, including cancer and diseases affecting the brain.
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About Speaker
Peter Kharchenko
Gilbert S. Omenn Associate Professor of Biomedical Informatics at the Harvard Medical School.

He recieved his Ph. D in Biophysics at Harvard University, studying gene regulation and metabolic networks under the advisement of George Church

His main research interest isHe then conducted his postdoctoral training with Peter Park at the Harvard Medical School, focusing on analysis of epigenetic regulation in model organisms and mammalian tissues.

His lab now focuses in developing statistical and computational methods for analysis of high-throughput assays, including transcriptional, epigenetic and genetic analysis.
14:00 - 15:30
sharing the knowledge with those who are interested
20 th of December, 14.30 | SKOLTECH. BIG CAMPUS. E-B4-3007
This event is a free of charge open-lecture.

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Skolkovo Institute of Science and Technology

Bolshoy Boulevard 30, bld. 1
Moscow, Russia 121205

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