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

• Alzheimer's disease
• Parkinson's disease
• Huntington's disease
• Multiple Sclerosis
• Amyotrophic lateral sclerosis
• Batten disease

Neurodegenerative diseases

• Epilepsy
• Schizophrenia
• Autism
• ...

Neurodevelopmental disorders

• >100 billion cells
• >200 cell types
• ~20k genes

DNA:

Single-cell RNA-sequencing (2015)

Introduction

Results

Conclusions

Data

Genes

DNA:

(3;

1;

5)

}

Single-cell RNA-sequencing (2015)

Single-cell RNA-sequencing (2015)

Genes

DNA:

(3;

1;

5)

}

Single-cell RNA-sequencing (2019)

Single-cell RNA-sequencing (2020)

Control patients

Case patients

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

Cell

types

Cells

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