Supplementary Methods Microarray Data AnalysisSupplementary Methods Microarray Data Analysis Gene...
Transcript of Supplementary Methods Microarray Data AnalysisSupplementary Methods Microarray Data Analysis Gene...
Supplementary Methods
Microarray Data Analysis
Gene expression data were obtained by hybridising a total of 24 samples from 6
experimental groups (n=4 per group) to Illumina HumanHT-12 Expression BeadChips.
Raw data were exported from the Illumina GenomeStudio software (v1.0.6) for further
processing and analysis using R statistical software 1 (v2.10) and BioConductor
packages. Raw signal intensities were background corrected using array-specific
measures of background intensity based on negative control probes, prior to being
transformed and normalised using the ‘vsn’ package 2. Quality control analyses did not
reveal any outlier samples. The dataset was then filtered to remove probes not detected
(detection score <0.95) in any of the samples, resulting in a final dataset of 25,620
probes. Statistical analysis was performed using the Linear Models for Microarray
Analysis (limma) package 3. Differential expression between the experimental groups
was assessed by generating relevant contrasts corresponding to the relevant
comparisons. Raw p-values were corrected for multiple testing using the false discovery
rate controlling procedure of Benjamini and Hochberg 4, adjusted p-values below 0.01
were considered significant. Significant probe lists were then annotated using the
relevant annotation file (HumanHT-12_V3_0_R2_11283641_A) that was downloaded
from the Illumina website (http://www.illumina.com) for further biological investigation.
Bioinformatics and statistical analyses
The nucleotide sequence were inspected with transcription factor binding site searching
software JASPAR (http://jaspar.cgb.ki.se/) 5 and Genomatrix
(http://www.genomatix.de/) for the presence of putative ISRE sites (Supplementary
Table S1). Statistical analysis was performed using One-way ANOVA with Dunnett’s
multiple comparison post test or Student’s T-test where appropriate (*p< 0.05,
**p<0.01, ***p<0.001).
References
1. Team, R.D.C. in R Foundation for Statistical Computing, Vol. Vienna Austria, 20102010).
2. Huber, W., von Heydebreck, A., Sultmann, H., Poustka, A. & Vingron, M. Variance stabilization applied to microarray data calibration and to the quantification of differential expression. Bioinformatics 18 Suppl 1, S96-104 (2002).
3. Smyth, G.K. et al. Limma: linear models for microarray data, in Bioinformatics and Computational Biology Solutions using R and Bioconductor 397-420 (Springer, New York, 2005).
4. Benjamini, Y. & Hochberg, Y. Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing. Journal of the Royal Statistical Society. Series B (Methodological) 57, 289-300 (1995).
5. Vlieghe, D. et al. A new generation of JASPAR, the open-access repository for transcription factor binding site profiles. Nucleic Acids Res 34, D95-97 (2006).
Nature Immunology: doi:10.1038/ni.1990
Supplementary Figure legends
Figure S1:
IRF5 expression is induced by M1 macrophage maturation protocols
(a) M1 and M2 macrophages from the same donor were stimulated with LPS (10ng/ml)
for 24h and the secretion of IL-12p70, IL-23 and IL-10 was determined by ELISA. Data
shown are the mean ± SEM from 4 independent experiments each using macrophages
derived from a different donor: *p< 0.05, **p<0.01 (One-way ANOVA).
(b) IRF5 protein expression was analysed in total cell lysates of monocytes, M1 and M2
macrophages by Western blotting. Densitometric analysis was performed using Quantity
One software and data were normalised to actin. Shown are the mean ± SEM from 3
independent experiments presented as % of increase in IRF5 protein levels relative to
monocytes. *p<0.05 (One-way ANOVA with Dunnett's Multiple Comparison Post Test).
(c) M2 macrophages were left untreated or treated with GM-CSF (50ng/ml), IFN-
(50ng/ml), or LPS (10ng/ml) plus IFN- for 24h and total protein extracts were subjected
to Western blot analysis followed by densitometry. Data shown are the mean ± SEM
from 6 independent experiments presented as % of increase in IRF5 (protein levels
relative to untreated cells. **p<0.01 (One-way ANOVA with Dunnett's Multiple
Comparison Post Test).
(d) p50 protein expression was analysed in total cell lysates of monocytes, M1 and M2
macrophages by Western blotting. Actin was used as a loading control. Representative
blots of at least 4 independent experiments, each using cells derived from a different
donor are shown.
(e) M2 macrophages were left untreated or treated with GM-CSF (50ng/ml), IFN-
(50ng/ml), or LPS (10ng/ml) plus IFN- for 24h and total protein extracts were subjected
to Western blot analysis followed by densitometry. Data shown are the mean ± SEM
from 6 independent experiments presented as % of increase in p50 protein levels
relative to untreated cells.
Figure S2:
Plasticity of macrophage polarization
(a, c) For M2->M1 cytokine profiles, M-CSF-derived M2 macrophages at day 5 were
either left in M-CSF containing medium or exchanged for GM-CSF (100ng/ml) containing
medium and after 24h subjected to LPS stimulation (10ng/ml).
(b, d) For M1->M2 cytokine profiles, GM-CSF derived M1 macrophages at day 5 were
either left in GM-CSF containing medium or exchanged for M-CSF (100ng/ml) containing
medium and after 24h subjected to LPS stimulation (10ng/ml).
(a, b) The change in secretion of IL-12p70, IL-23 and IL-10 was determined by ELISA.
Nature Immunology: doi:10.1038/ni.1990
(c, d) The change in IRF5 protein expression was analysed by Western blotting followed
by densitometric analysis using Quantity One software. The IRF5 measurements were
normalised to actin. Shown are the mean ± SEM from 4 independent experiments
presented as % of increase (c) or decrease (d) in IRF5 protein levels relative to the
initial condition: *p<0.05 (One-way ANOVA with Dunnett's Multiple Comparison Post
Test).
(e) For M2->M1->M2 cytokine profiles, M2 macrophages at day 5 were either left in M-
CSF containing medium, or exchanged for IFN- (50ng/ml) containing medium, or
further reversed to M-CSF containing medium (100ng/ml) and after 48h subjected to
LPS stimulation (10ng/ml).
The amount of secreted IL-12p70, IL-23 and IL-10 protein following 24h of LPS
stimulation was determined by ELISA. Data shown are the mean ± SEM of 3
independent experiments each using macrophages derived from a different donor.
Figure S3:
IRF5 defines the production of lineage specific cytokines in human
macrophages
(a) M2 macrophages were infected as in (Fig. 2 A) and left unstimulated or stimulated
with LPS (10ng/ml) for 4, 8, 24, 32 and 48h. The amount of secreted IL-12p70 and IL-
23 protein was determined by ELISA. Data shown are the mean ± SD and are
representative of 3 independent experiments each using macrophages derived from a
different donor.
(b) M2 macrophages were infected with adenoviral vectors encoding IRF5, IRF3 or
empty vector (pENTR) and stimulated with LPS for 24h. The amount of secreted IL-1
and TNF protein was determined by ELISA. Data show the trend of cytokine secretion in
4-8 independent experiments each using M2 macrophages derived from a different
donor: ***p<0.001, ** p<0.01 (One-way ANOVA with Dunnett's Multiple Comparison
Post Test).
(c) M1 macrophages were transfected with siRNA targeting IRF5 (siIRF5) or control
siRNA (siC). ~50% of IRF5 protein was degraded estimated by serial dilutions of the siC
control sample analysed by Western blotting.
Figure S4:
IRF5 induces T cell proliferation and expression of T cell subset specific
markers
(a) M2 macrophages were infected with adenoviral vectors encoding IRF5 or empty
vector (pENTR) and cultured with T lymphocytes from unmatched donors. After 4 days,
cells were stimulated for 3h with PMA/ionomycine/Brefeldin A. The percentage of
Nature Immunology: doi:10.1038/ni.1990
CD4+/IL-17+ or CD4+/IFN+ cells was determined by ICC staining and representative
FACS plots are shown.
(b) M2 macrophages were infected with adenoviral vectors encoding IRF5, IRF3 or
empty vector (pENTR) and cultured in triplicate for 72h with T lymphocytes from
unmatched donors. Cultures were pulsed with thymidine for the last 16h to measure
DNA synthesis. Control cultures contained macrophages or T-cells alone. Results are
expressed as counts per minute (CPM) minus proliferation of macrophage-only cultures.
Data are shown as the mean ± SEM of 6 independent experiments each using cells
derived from a different donor: ***p<0.001 (One-way ANOVA with Dunnett's Multiple
Comparison Post Test).
(c, e) M2 macrophages were infected with adenoviral vectors encoding IRF5, IRF3 or
empty vector (pENTR) and cultured with T lymphocytes from unmatched donors. After 4
days, cells were stimulated for 3h with PMA/ionomycine/Brefeldin A and IFN- and IL-17
expression were determined by ICC staining. Data are shown as the percentage of IFN-
+/IL-17- (c) or IFN--/ IL-17+ (e) cells ± SEM of 8 independent experiments.
(d, f) M2 macrophages were infected with adenoviral vectors encoding IRF5, IRF3 or
empty vector (pENTR) and cultured with T lymphocytes from unmatched donors. IFN-
(d) or IL-17A, IL-17F, IL-21, IL-22, IL-26, IL-23R (f) mRNA expression was analysed
after 2 days of co-culture. Data are shown as the mean ± SEM of 6-9 independent
experiments each using cells derived from a different donor: *p<0.05, **p<0.01,
***p<0.001 (One-way ANOVA with Dunnett's Multiple Comparison Post Test).
Figure S5:
IRF5 drives expression of IL12p40 mRNA and production of selected M1 and M2
cytokines
(a) M2 macrophages were infected with adenoviral vectors encoding IRF5 or empty
vector (pENTR) and left unstimulated or stimulated with LPS (10ng/ml) for 4, 8, 16 and
24h. IL12p40 mRNA expression was compared to unstimulated pENTR control cells. Data
shown are the mean ± SD and are representative of 3 independent experiments each
using macrophages derived from a different donor.
(b) M1 macrophages were transfected with siRNA targeting IRF5 (siIRF5) or control
siRNA (siC) and left unstimulated or stimulated with LPS (10ng/ml) for 2, 4, 8, 16 and
24h. IL-12p40 mRNA expression was compared to control cells transfected with non-
targeting siRNA (siC). Data shown are the mean ± SD of representative experiments
presented as a % of reduction in IL-12p40 mRNA levels by siIRF5.
Nature Immunology: doi:10.1038/ni.1990
(c, d, e) M2 macrophages were infected with adenoviral vectors encoding IRF5 or empty
vector (pENTR) and stimulated with LPS for 24h. The amount of secreted CCL5 (c);
CCL2, CCL13 (d) or CCL22, CXCL10 (e) protein was determined by ELISA. The amount
of CD40 (c) or CD163 (c) surface expression was determined by FACS and expressed as
MFI. Data are shown as the mean ± SEM of 4-6 independent experiments each using
M2 macrophages derived from a different donor: ** p<0.01, *p<0.05 (Student's t-test).
Figure S6:
IRF5 activates transcription of the human IL-12p35 gene
HEK-293-TLR4/MD2 cells were co-transfected with IL-12p35 wild type (IL-12p35-Luc wt)
reporter plasmid or the IL-12p35 plasmid in which site-specific mutation was introduced
into the ISRE site as described in Ref 37 and constructs coding for IRF5 (black bars), IRF5
DNA-binding mutant (IRF5DBD) (grey bars) or empty vector (pENTR) (white bars).
Luciferase activity was measured 24h post-infection. Data are presented as the mean ±
SD from a representative out of 3 independent experiments.
Figure S7:
Impaired production of M1 cytokines in Irf5-/- mice
Littermate wild type (n = 10) and Irf5-/- (n = 10) mice were intraperitoneally injected
with LPS (20ug/ml). Mice were sacrificed after 3h and serum concentrations of Il-1, Il-6
and Tnf were measured by BDTM cytrometric bead assay. Data are shown as the mean ±
SEM of 8-10 serum samples from 3 independent experiments: ** p<0.01, *p<0.05
(Student's t-test).
Nature Immunology: doi:10.1038/ni.1990
Figure S1
d
cb
Mono
GM-CSF
M-CSF
0
50
100
150
200
250
300
350
IRF5
pro
tein
leve
l, no
rmal
ised
(%)
*
*
n=3
untre
ated
GM-CSF
IFN-γ
LPS+IF
N-γ0
25
50
75
100
125
150
175
IRF5
pro
tein
leve
l, no
rmal
ised
(%)
** ****
n=6
untre
ated
GM-CSF
IFN-γ
LPS+IF
N-γ0
100
200
300
p50
prot
ein
leve
l, no
rmal
ised
(%)
n=3
IL-12p70
M-CSF
GM-CSF
01020304050607080
IL-1
2p70
, pg/
ml
IL-23
M-CSF
GM-CSF
0
50
100
150
200
250
IL-2
3, p
g/m
l
IL-10
M-CSF
GM-CSF
0
5
10
IL-1
0, n
g/m
l
n=4 n=4 n=5
** **
*
a
e
actin
- + - + - +LPS:Mono
M-CSF
GM-CSF
p50
M1M2
Nature Immunology: doi:10.1038/ni.1990
Figure S2
IL-12p70
M-CSF
GM-CSF
0
50
100
150
200
IL-1
2p70
, pg/
ml
IL-23
M-CSF
GM-CSF
100
200
300
400
IL-2
3, p
g/m
l
IL-10
M-CSF
GM-CSF
0
500
1000
1500
2000
IL-1
0, p
g/m
l
M2->M1
a
M1->M2
b
c
IL-12p70
GM-CSF
M-CSF
0
50
100
150
IL-1
2p70
, pg/
ml
GM-CSF
M-CSF
0
200
400
600
800
1000
IL-2
3, p
g/m
l
IL-23
GM-CSF
M-CSF
0
200
400
600
800
IL-1
0, p
g/m
l
IL-10
M2 M10
50
100
150
200
n=4
*
IRF5
pro
tein
leve
l, no
rmal
ized
(%)
d
M1 M20
20
40
60
80
100
n=4
*
IRF5
pro
tein
leve
l, no
rmal
ized
(%)
M2->M1->M2
M-CSF
IFN-γ
M-CSF
0
1000
2000
3000
4000
IL-1
2p70
, pg/
ml
e
IL-12p70
Nature Immunology: doi:10.1038/ni.1990
0 8 16 24 32 40 480
5
10
pENTR IRF3 IRF5
time after LPS, hours
IL-1
2p70
, ng/
ml
IL-23
0 8 16 24 32 40 480
200
400
600
800
1000
time after LPS, hours
IL-2
3, p
g/m
l
IL-12p70a
Figure S3
c
b
IRF5
actin
100%
50%
25% siI
RF5siC
IL-1β
pENTR
IRF3
IRF5
0
10
20
30
40 **
n=4
TNF,
ng/
ml
TNF
pENTR
IRF3
IRF5
0
50
100
150
200
250
***
n=8
IL-1β ,
pg/
ml
Nature Immunology: doi:10.1038/ni.1990
a
Figure S4
n=6
***
pENTR
IRF3
IRF5
0
10000
20000
30000
CP
M
T cell proliferation CD4+/IFN-γ+b c d
IFN-γ
IL-17
pENTR IRF5
pENTR
IRF3
IRF5
0
5
10
15
20
***
n=8
% p
ositi
ve c
ells
CD4IFN-γ mRNA
pENTR
IRF3
IRF5
0
10
20
30
40 ***
n=9IF
N-g
mRN
A (A
U)
Nature Immunology: doi:10.1038/ni.1990
Figure S4
e
IL-17A mRNA
pENTR
IRF3
IRF5
0
5
10
15
***
IL-1
7 m
RNA
(AU)
n=8
IL-22 mRNA
pENTR
IRF3
IRF5
0
50
100
150
**
n=6
IL-2
2 m
RNA
(AU)
IL-23R mRNA
pENTR
IRF3
IRF5
0
20
40
60
80
100
IL-1
7F m
RNA
(AU)
IL-17F mRNA
n=5
pENTR
IRF3
IRF5
0
5
10
15
20
25
***
n=6
IL-2
1 m
RNA
(AU)
IL-26 mRNAIL-21 mRNA
f
pENTR
IRF3
IRF5
0
10
20
30
40
*
n=6
IL-2
6 m
RNA
(AU)
pENTR
IRF3
IRF5
0
10
20
30 **
n=6
IL-2
3R m
RNA
(AU)
CD4+/IL-17+
pENTR
IRF3
IRF5
0.0
0.2
0.4
0.6
0.8
1.0 ***
n=8
% p
ositi
ve c
ells
Nature Immunology: doi:10.1038/ni.1990
0 8 16 240
250
500
750
1000
pENTRIRF5
time after LPS, hours
IL-1
2p40
mR
NA
(AU
)
0 8 16 240
20
40
60
80
100
siCsiIRF5
time after LPS, hours
IL-1
2p40
mR
NA
,%in
hibi
tion
Figure S5
aIL-12p40 mRNA
bIL-12p40 mRNA
c dM1 M2
CCL22
CD40 CCL2 CD163CCL13
CXCL10
pENTR
IRF5
0
20
40
60
80
100
**
n=4
CC
L22,
ng/
ml
pENTR
IRF5
0
100
200
300
400
*
n=5
CD
40, M
FI
pENTR
IRF5
0
2
4
6
8
10
*
n=4
CC
L2, n
g/m
l
pENTR
IRF5
0
50
100
150
**
n=6
CC
L13,
pg/
ml
pENTR
IRF5
0
1
2
3
*
n=5C
D16
3, M
FIx1
000
e
pENTR
IRF5
0
5
10
15
***
n=6
CXC
L10,
ng/
ml
pENTR
IRF5
0
1000
2000
3000
4000*
n=5
CC
L5, p
g/m
l
CCL5
Nature Immunology: doi:10.1038/ni.1990
Figure S6
IL-12p35-luc
wt
ISREmut wt
ISREmut wt
ISREmut
0
10
20
30
pENTR IRF5 IRF5DDBD
luci
fera
se a
ctivi
ty (A
U)
Nature Immunology: doi:10.1038/ni.1990
wtIrf5
-/-0
25
50
75
100
125
*
n=8
IL-1β ,
pg/
ml
IL-1β TNF
wtIrf5
-/-0
200
400
600
800
*
n=10
TNF,
pg/m
l
wtIrf5
-/-0
10
20
30
40
50
*
n=10
ILl-6
, ng/
mL
IL-6
i
Figure S7Nature Immunology: doi:10.1038/ni.1990
Supplementary Table S1:
Genes up-regulated by ectopic IRF5
Gene symbol Entrez Gene ID Fold change
CXCR3 2883 2.9
CXCR4 7852 3.8
CXCR5 643 9.4
CXCR7 57007 4.1
EBI3 10148 38.2
TNFSF4 7292 17.9
TNFSF9 8744 15.0
LTA 4049 13.1
LTB 4050 8.9
IFN- 3458 2.5
CCL1 6346 18.6
CCL3 6348 8.1
CXCL5 6374 7.4
IL-19 29949 4.2
IL-32 9235 4.2
Genes down-regulated by ectopic IRF5
Gene symbol Entrez Gene ID Fold change
CSF1R 1436 0.28
IL-1R2 7850 0.28
IL-1RA 3557 0.38
TGF1 7045 0.42
Nature Immunology: doi:10.1038/ni.1990
Supplementary Table S2: putative IRF5 binding sites in -2000/+2000 nt
relative to the TSSs of selected genes
Table S2.1 – genes up-regulated by IRF5
Gene Number of IRF sites Sequence Strand Core sim Matrix sim
TNFSF4 9 aatgtactttacaTTTCccac - 1 0.88
cacaaacTTTCtcttttaagt - 1 0.903
tgcctcaTTTCcattttttct - 1 0.851
agatcttTTTCtttttctttg - 1 0.932
agaccagTTCCactttcccat - 0.75 0.892
taaaataTTTCcatttttctt - 1 0.851
atttttcTTTCactttattct - 1 0.965
attattttttcttATTCagta - 0.937 0.885
cacctccaatGAAAccagaat + 1 0.957
EBi3 8 ctctgtgTTTCtctttctgtt - 1 0.948
gtttctcTTTCtgtttccatc - 1 0.959
gtatctcTGTCactttctctg - 0.75 0.854
ctgtcacTTTCtctgtcatct - 1 0.858
cctttggTTTCtttttggttt - 1 0.925
tttttggttttgtTTTTtgag - 0.75 0.726
ccagGAATtcgagaccagcct + 0.75 0.741
gcaacatagtGAAAccggacc + 1 0.884
TNFSF7 14 ctgcctcattcagTTTCtgtt - 1 0.883
cattcagTTTCtgtttctgtt - 1 0.98
gtttctgTTTCtgttttcaca - 1 0.89
agggGAATaggaagattgaat + 0.937 0.877
catgGAAAtggaagatgactc + 1 906
ccagGAAAacgattcgggaaa + 1 0.725
aaaataaaatGAAAtaaaatc + 1 0.876
gagggaaacgGAGAgggggag + 0.758 0.864
agaaGAAGgggaaagaaagaa + 0.821 0.863
cggagaaagaGAAAaaagaca + 1 0.939
aagaagaaagGAAAagaaaaa + 1 0.941
aaaagaaaaaGAAAgaaagga + 1 0.939
aaaggaaaaaGAAAgaagaaa + 1 0.955
agaagaaagaGAAAaaaagaa + 1 0.939
TNFSF9 6 tcaacacTGTCcctttcttgc - 0.758 0.871
gagacaaagaGAGActaaaga + 0.75 0.818
cagaGATAacggagccagaga + 0.75 0.69
agggagaaagGAACctggagc + 0.75 0.814
gccggaaacgGAAAggagagc + 1 0.967
gtaccccTCTCcctttcaaga - 0.758 0.851
CCL1 6 ttcatgaTTTCaatgcctaga - 1 0.943
aacaaaaaggGAAAattcccc + 1 0.879
aatagaaatgGCAAatatcta + 0.774 0.865
gtgtGAATatgaatttgggta + 0.937 0.898
actctacTTTCtctatcagtg - 1 0.866
actggaaagaGCAAgggaacc + 0.774 0.851
Nature Immunology: doi:10.1038/ni.1990
CCL3 12 gctttcaTTTCtttttctact - 1 0.937
caaagaaatgGGAAatcaaga + 0.758 0.858
ccattgaacaGAAActtcagc + 1 0.852
ttcagaaaaaGAAAaaaataa + 1 0.932
ctcatgcTTTCtattcctcca - 1 0.973
cccccagattccaTTTCccca - 1 0.915
gcccccaagaGAAAagagaac + 1 0.941
cttggtcTTTCtctttaagac - 1 0.878
cagagaaacaGAGAacccact + 0.758 0.863
agaggaaaggGACAggaagaa + 0.758 0.851
aatttattttcgaTTTCacag - 1 0.992
agtttggttttgtTTTCctgg - 1 0.869
IL-2Ra 5 ggagggtTTTCtttttgttaa - 1 0.883
aattGAACttgaaaaaaaaaa + 0.821 0.875
caatgaatttcctTTTAttct - 0.758 0.868
tgcaaattttaaaTTTCattc + 1 0.885
ccaaGAACaggaaaatcttga + 0.821 0.896
CCR7 9 tcaagaaagtGAAAagatgat + 1 0.946
aaaaaaaaaaGAAAaaagaaa + 1 0.951
tcaacaaTTTCacttctaggt - 1 0.814
agctaaaaggGAAAacagccc + 1 0.907
ttcaGAATaggaaaatctata + 0.937 0.936
aaagGAAAaggaagggagggg + 1 0.862
accccagactaggTTTAgggg - 0.75 0.693
gggagggTTTCtgttacacaa - 1 0.823
tacacaaaatGAAAactccca + 1 0.926
CXCR5 8 ttggtgaTTTCactttttttt - 1 0.963
tttttttTTTCttttagagac - 1 0.951
aagttgaTTTCatttttgtct - 1 0.931
tgagGAAAatgaaggtttgga + 1 0.918
gtggtggTTTCattacaagtt - 1 0.949
gaaaGAAGctgaaatgcttga + 0.821 0.867
caaaaaaacaGAAAagaccca + 1 0.856
aatgcaaaatGAAAacatggg + 1 0.926
IL23a 6 accaggaagtGAAAcaaagag + 1 0.859
gggtagaTTTCcatttttttt - 1 0.882
gtgatgaaatcggTGTCagtg - 0.75 0.727
ccatGAAAccaggaccatcca + 1 0.693
ctgaGAAAaagaagcccgttt + 1 0.862
ttgggaaagaGAAAtcgatgg + 1 0.958
TNF 10 agccaagactGAAAccagcat + 1 0.96
gggtcagaatGAAAgaagaag + 1 0.945
agaagaaaccGAGAcagaagg + 0.758 0.878
caggcagGTTCtcttcctctc - 0.75 0.835
ccctGGAAaggacaccatgag + 0.75 0.718
catgagcactGAAAgcatgat + 1 0.953
ttctgggtttgggTTTGgggg - 0.75 0.781
ggggGAAAtttaaagttttgg + 1 0.892
Nature Immunology: doi:10.1038/ni.1990
IL12p35 9 gctctcaTTTCtttttctttc - 1 0.937
atgtaaattaGAAActgtgtc + 1 0.887
gcgaacaTTTCgctttcattt - 1 0.965
atttcgcTTTCattttgggcc - 1 0.94
atccGAAAgcgccgcaagccc + 1 0.701
gaaggagacaGAAAgcaagag + 1 0.943
tcgtagaggaGAAActgaggc + 1 0.846
cacctggtctgggTTTCcctg - 1 0.795
tgtctccagaGAAAgcaagag + 1 0.94
IL12p40 8 gttacagTTTTttttttttaa - 0.75 0.829
cccgggtTTCCcatttccccc - 0.758 0.853
gagggtaTTTCactttctgct - 1 0.947
aagtcagTTTCtagtttaagt - 1 0.85
tttctagtttaagTTTCcatc - 1 0.879
tgtacagTGTCcattttaaaa - 0.75 0.817
gttaaaaaatGAAAagctatt + 1 0.887
actgGAATctgaaattgtatg + 0.937 0.951
Table S2.2 – genes down-regulated by IRF5
Gene name Number of IRF sites Sequence Strand Core sim Matrix sim
CD163 10 ggatgaaactGGAAaccatca + 0.759 0.865
ttgctaatttttgTTTCacca - 1 0.862
gtatGAAAtggaacctcagct + 1 0.905
gtagcctTTTCattttcatga - 1 0.934
tcatGAAAgtgaagtgatttt + 1 0.871
gatgttgTTTCcattttccag - 1 0.886
gccctctTTTCtttttcacag - 1 0.932
caaaggaggaGAAActtcaga + 1 0.82
agataagTTTCagtctagcgt - 1 0.812
ctagtcttttcatCTTCataa - 0.821 0.864
IL-10 7 cttgttatttcaaCTTCttcc - 0.821 0.878
acaactaaaaGAAActctaag + 1 0.841
acgcGAATgagaacccacagc + 0.75 0.7
tgcaaaaattGAAAactaagt + 1 0.928
caggGAAAtttaaattgcctc + 1 0.888
cttctgcTTTCccttcaaaat - 1 0.983
ttgctcaTTTCtctttgagca - 1 0.895
MS4A6A 12 aaagacaagaGAAAggagaat + 1 0.946
agccaaaatgGAAAaaaaaag + 1 0.951
cgctGAGAactaatccagcct + 0.75 0.724
tgactggctctggTTTCcttg - 1 0.724
tgggGAATtagaaaagcaaga + 0.937 0.89
ttagaaaactGAAGcttcaag + 0.75 0.826
aatttaacttGAAActccttg + 1 0.817
gaaggagTATCtgtttttaac - 0.75 0.81
ccgtGAAAagggatccaagct + 1 0.714
tccatacTATCagtttctttc - 0.774 0.885
Nature Immunology: doi:10.1038/ni.1990
ctatcagTTTCtttctctaat - 1 0.844
gactgagTTACtgtttttgga - 0.75 0.816
CXCL10 9 caactaaaatAAAActgtcac + 0.75 0.813
tttgcctTTCCggtttcccac - 0.758 0.869
cttttttTTTCtttttctttg - 1 0.951
caacctgTTTCccttctgtct - 1 0.817
atgatgtTTTCattcagggac - 1 0.817
tataagacgtGAAActtgttt + 1 0.814
tttggaaagtGAAAcctaatt + 1 1
catgcagagtGAAActtaaat + 1 0.814
ttaggaaacgGCAAtcttggg + 0.75 0.883
CLEC4a 5 gacttggtgtgggTTTCagaa - 1 0.77
gaaagacaatGAAAgcaggtt + 1 0.856
gagaGAAAtccactccagttc + 1 0.701
tagagtacaaGAAActatggg + 1 0.818
actatagTTACgctttctaaa - 0.758 0.885
IL-1R2 isoform1 13 ggcatggttttgcTTCCtctc - 0.75 0.713
ccaaatatttcacCTTCtaat - 0.821 0.871
gtaaGAAAatgaagatctgca + 1 0.91
ctctGAAAacaaaacaaaaca + 1 0.748
gaaaaataggGAAActtatgc + 1 0.811
cagagaaacaGAGAcagaaag + 0.758 0.858
cagagaaacaGACAgagatag + 0.758 0.856
gacaGAGAcagagaccaagac + 0.75 0.713
gctctcgggtggtTTTCtggg - 1 0.706
ctcagggTCTCcatttccacc - 0.758 0.862
ctctctgTCTCtgtttctctc - 0.758 0.858
ctctatgTCTCtgtttctccc - 0.758 0.858
taattgcattcccTTTTgggg - 0.75 0.701
IL-1R2 isoform2 10 ttcactcTTCCagtttctcac - 0.758 0.859
tttgctcTCTCcctttcctgg - 0.758 0.851
gaacaaaattTAAActgttct + 0.75 0.833
acgatggcttcacTTACatgg - 0.75 0.693
ttataagacaGAAAgcaaaat + 1 0.96
tttaGAAActgaagctgtatc + 1 0.913
tgaacactttcttTTTGcagc - 0.758 0.862
gggaGAATttgaagcctgtgg + 0.937 0.871
ttgaatgagcGAAAacatgag + 1 0.954
ccatctgTATCagtttctgcc - 0.774 0.868
IL-1RA isoform1 9 ggaaGAAAtccaatctatttc + 1 0.697
aatctagtttctgATTCttta - 0.937 0.928
agagGAAAttgaaggccctta + 1 0.898
attctgaTTTCattatatata - 1 0.959
ctctaattttaagTTTCtaat - 1 0.876
taaataaaatGAAAtaaaata + 1 0.876
agaggaaatgGATAtagagag + 0.774 0.851
actcggactgGAAActggaag + 1 0.818
Nature Immunology: doi:10.1038/ni.1990
actggaaactGGAAgggtgag + 0.758 0.859
IL-1RA isoform4 9 tacaaaaaatGAAAatgaact + 1 0.906
cacacagTTTGaattcctggg - 0.75 0.815
tgggaaaactGAATctcaaaa + 0.75 0.85
ctcaGAAAaggaagctggttt + 1 0.9
ggaggaaaatGCAAattgaaa + 0.774 0.858
aatgcaaattGAAAagttgct + 1 0.874
ccttgctTTTCcctttgaatg - 1 0.858
aagaggaataGGAActgcacc + 0.75 0.821
cctcttccttcagTTTCagct - 1 0.877
Nature Immunology: doi:10.1038/ni.1990