Case-control analysis of single-cell RNA-seq studies
Petukhov Viktor
Khodosevich lab, BRIC
viktor.petukhov@pm.me
Biological introduction
Our results
Conclusions
The story line
Our data
Introduction
Results
Conclusions
Data
Neurodegenerative diseases
- Epilepsy
- Schizophrenia
- Autism
- ...
Neurodevelopmental disorders
- >100 billion cells
- >200 cell types
- ~20k genes
DNA:
RNA molecules
Genes
}
Expression
levels
(3;
1;
5)
Single-cell RNA-sequencing (2015)
Introduction
Results
Conclusions
Data
Genes
DNA:
(3;
1;
5)
}
Expression
levels
Single-cell RNA-sequencing (2015)
Single-cell RNA-sequencing (2015)
Genes
DNA:
(3;
1;
5)
}
Expression
levels
Single-cell RNA-sequencing (2019)
Single-cell RNA-sequencing (2020)
Control patients
Case patients
Single-cell RNA-sequencing (2020)
Control patients
Case patients
Dataset
Single-cell RNA-sequencing (2020)
Control patients
Case patients
Dataset
Cells
Cell
types
Single-cell RNA-sequencing (2020)
Control patients
Case patients
Dataset
Cell
types
Cells
Cells
Genes
Cells
Genes
Cells
Genes
Cells
Genes
Cells
Genes
Cells
Genes
Cells
Genes
Cells
Genes
What can we extract from it?
- Changes in cell type abundance
- Prioritization of cell types by the magnitude of gene expression changes
- Understanding the nature of the gene expression changes
- Investigating heterogeneity of changes within a cell type
Introduction
Results
Conclusions
Data
Conclusions
-
We can measure a lot
-
It can be about any system
-
Complex systems require complex analysis
-
If you're interested, let's talk!
Introduction
Results
Conclusions
Data
Conclusions
-
We can measure a lot
-
Complex systems require complex analysis
-
If you're interested, let's talk!
Konstantin Khodosevich lab
viktor.petukhov@pm.me