high-resolution transcriptome of human macrophages

11
High-Resolution Transcriptome of Human Macrophages by Beyer & colleagues PLOS one 2012 Presented by Nacho Caballero

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Page 1: High-resolution transcriptome of human macrophages

High-Resolution Transcriptome

of Human Macrophages

by Beyer & colleagues PLOS one 2012

Presented by Nacho Caballero

Page 2: High-resolution transcriptome of human macrophages

CD14+ Monocyte

Monocytes follow two paths of differentiation

M1 Macrophage

IFNG TNF

IRF6

M2 Macrophage

IL4 IL13

CSF1 CSF2

Page 3: High-resolution transcriptome of human macrophages

Fluorescence

Each macrophage subtype expresses a unique phenotype

% of max cells

Mean Fluorescence

Units

FCGR1A

isotype m1 m2

m1 m2

Fluorescence

% of max cells

Mean Fluorescence

Units

m1 m2

isotype m1 m2

FCER2

Page 4: High-resolution transcriptome of human macrophages

Arrays can discriminate between macrophage phenotypes

m1 m2 M0

Page 5: High-resolution transcriptome of human macrophages

Sequencing and microarray data are highly correlated

900 308 595  

Sequencing Array Log2 FC   Log2 FC  

Sequencing Fold Change

Array Fold Change

Page 6: High-resolution transcriptome of human macrophages

Canonical macrophage markers

Array Sequencing

Page 7: High-resolution transcriptome of human macrophages

(z-scores and heatmaps)

Absolute values Z-scores

Page 8: High-resolution transcriptome of human macrophages

Canonical macrophage markers

Array Sequencing

Page 9: High-resolution transcriptome of human macrophages

Advantages of sequencing: Detecting alternative splicing

PDLIM7 gene  

m1

m2

m1 m2 m1 m2 m1 m2

Array

mRNA (relative)  

Sequencing

Isoform 1   Isoform 2   Isoform 4  

mRNA (relative)  

Page 10: High-resolution transcriptome of human macrophages

Advantages of sequencing: Identifying novel macrophage markers

Array Sequencing

Page 11: High-resolution transcriptome of human macrophages

Favor gene lists or line charts over z-score heatmaps

Sequencing improves resolution and can answer additional questions

Arrays may be good enough to assess gene expression