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

Effective Speaking Course, Final

By Viktor Petukhov

Effective Speaking Course, Final

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