lopez et al - nature research · 2014-07-07 · lopez et al page 4 of 17 supplementary table 3....
TRANSCRIPT
Lopez et al
Title:
miR-1202: A Primate Specific and Brain Enriched miRNA Involved in Major Depression and
Antidepressant Treatment.
Authors:
Juan Pablo Lopez1, Raymond Lim
3, Cristiana Cruceanu
1, Liam Crapper
1, Caroline Fasano
2, Benoit
Labonte1, Gilles Maussion
1, Jennie P Yang
1, Volodymyr Yerko
1, Erika Vigneault
2, Salah El
Mestikawy2, Naguib Mechawar
1, Paul Pavlidis
3, Gustavo Turecki
1.
Affiliations:
1McGill Group for Suicide Studies, Douglas Mental Health University Institute, McGill University,
Montreal, Quebec, Canada. 2Douglas Mental Health University Institute, McGill University, Montreal,
Quebec, Canada. 3Department of Psychiatry, University of British Columbia, Vancouver, B.C, Canada.
Supplementary Information
Nature Medicine: doi:10.1038/nm.3582
Lopez et al
Page 2 of 17
Supplementary Tables and Figures
Supplementary Table 1. Postmortem Brains. Prefrontal cortex (BA44) brain tissue was obtained in
collaboration with the Quebec Coroner’s Office from the Quebec Suicide Brain Bank (QSBB). All individuals
were male and groups were matched for age, pH and refrigeration delay. Psychological autopsies were
performed post-mortem on both cases (n=14) and controls (n=11) based on DSM-IV criteria. The control group
had no history of suicidal behavior or major mood or psychotic disorders. We found no significant differences
between any of these variables in the experimental groups. Normality was assessed by Shapiro-Wilk normality
tests, and statistical differences between groups were analyzed using Student’s t-test (two-sided).
Controls MDD
Statistical Test
(P value)
Sample 11 14 N/A
Sex Male Male N/A
Age 37±4.7 37±3.5 0.99
RD 27.7±4.1 32.8±4.1 0.39
Brain pH 6.6±0.1 6.6±0.1 0.72
RIN 6.2±0.2 6.5±0.2 0.28
Nature Medicine: doi:10.1038/nm.3582
Lopez et al
Page 3 of 17
Supplementary Table 2. miR-1202 Target Prediction. Gene targets of miR-1202 were predicted using five miRNA target prediction databases: miRWalk, microRNA.org, RNA22, RNA Hybrid and TargetScan. Only genes predicted by all 5 databases were chosen. We then cross-referenced these genes with our existing microarray expression libraries and only genes that were expressed in human brain and up-regulated in PFC of depressed subjects were selected for further validation.
miRNA Gene Databases FC Regulation
hsa-miR-1202 RRN3 5 1,1 UP
hsa-miR-1202 TOX 5 1,1 UP
hsa-miR-1202 ZFHX4 5 1,1 UP
hsa-miR-1202 EIF2S1 5 1,5 UP
hsa-miR-1202 MRPS35 5 1,1 UP
hsa-miR-1202 SELT 5 1,2 UP
hsa-miR-1202 GRM4 5 1,1 UP
hsa-miR-1202 HTR2A 5 1,2 UP
hsa-miR-1202 NUMBL 5 1,3 UP
hsa-miR-1202 NTNG1 5 1,1 UP
hsa-miR-1202 CHSY3 5 1,1 UP
hsa-miR-1202 PFTK1 5 1,1 UP
hsa-miR-1202 TMEM66 5 1,1 UP
hsa-miR-1202 RALBP1 5 1,1 UP
hsa-miR-1202 FOXJ2 5 1,2 UP
hsa-miR-1202 GAS8 5 N/A NO INFO
hsa-miR-1202 HLA-DRA 5 N/A NO INFO
hsa-miR-1202 ARG1 5 N/A NO INFO
hsa-miR-1202 MS4A12 5 N/A NO INFO
hsa-miR-1202 EML4 5 N/A NO INFO
hsa-miR-1202 CAND1 5 N/A NO INFO
hsa-miR-1202 KRTAP17-1 5 N/A NO INFO
hsa-miR-1202 ZDHHC21 5 -1,2 DOWN
hsa-miR-1202 PUM2 5 -1,1 DOWN
hsa-miR-1202 FTSJ1 5 -1,1 DOWN
hsa-miR-1202 OSBPL11 5 -1,1 DOWN
hsa-miR-1202 SEC24B 5 -1,3 DOWN
hsa-miR-1202 TMEM209 5 -1,1 DOWN
hsa-miR-1202 TAOK3 5 -1,3 DOWN
Nature Medicine: doi:10.1038/nm.3582
Lopez et al
Page 4 of 17
Supplementary Table 3. Independent sample replication subjects. Prefrontal cortex (BA44) brain tissue was obtained in collaboration with the Quebec Coroner’s Office from the Quebec Suicide Brain Bank (QSBB). All individuals were matched for age, pH and refrigeration delay. Psychological autopsies were performed post-mortem based on DSM-IV criteria. Controls (N=29) and MDD group (N=25) had no history of antidepressant use. The (MDD+A) is composed of depressed individuals with antidepressant history (N=25). We found no significant differences between any of these variables in the experimental groups. Normality was assessed by Shapiro-Wilk normality tests, and statistical differences between groups were analyzed using One-Way ANOVA with post-hoc correction.
Controls MDD MDD+A
Statistical Test
(P value)
Sample 29 25 25 N/A
Sex 4F/25M 2F/23M 8F/17M N/A
Age 52.5±3.8 44.6±2.9 51.5±2.8 0.20
RD 44.8±5.5 46.3±4.9 44.7±4.9 0.95
Brain pH 6.5±0.1 6.7±0.1 6.7±0.1 0.24
RIN 6.3±0.1 6.6±0.2 6.7±0.2 0.25
Supplementary Table 4. Cell line screening. Expression of miR-1202 and GRM4 across six different human cell lines
Cell Line Description miR-1202 GRM4
HEK293 Human Embryonic Kidney N/A High
BeC2 Human Neuroblastoma N/A High
SK-N-AS Human Neuroblastoma N/A Low
SH-SY5Y Human Neuroblastoma N/A Med
U-118 MG Human Glioblastoma N/A Low
NPCs Human Neural Progenitor Med High
Nature Medicine: doi:10.1038/nm.3582
Lopez et al
Page 5 of 17
Supplementary Table 5. Human Blood Samples. All male and female patients were ascertained at a community outpatient clinic at the Douglas Mental Health University Institute. Subjects were excluded from the study if they had comorbidity with other major psychiatric disorders, if they had positive tests for illicit drugs at any point during the study or if they had general medical illnesses. MDD Subjects were untreated patients (N=32) with a diagnosis of MDD without psychotic features, according to the Statistical Manual of Mental Disorders-fourth edition (DSM-IV). Control subjects (N=18) were also excluded if they had a history of antidepressant treatment. All subjects included in the study provided informed consent and the project was approved by the internal review board for the Douglas Mental Health University Institute. We found no significant differences between any of these variables in the experimental groups. Normality was assessed by Shapiro-Wilk normality tests, and statistical differences between groups were analyzed using One-Way ANOVA with post-hoc correction.
Controls NRES REM
Statistical Test
(P value)
Sample 18 16 16 N/A
Sex 8F/10M 10F/6M 12F/4M N/A
Age 37.8±2.2 41.7±2.5 44.1±3.8 0.30
RIN 8.5±0.1 8.4±0.1 8.5±0.1 0.89
Nature Medicine: doi:10.1038/nm.3582
Lopez et al
Page 6 of 17
Supplementary Table 6. List of primers, references and sequences.
Gene Name TaqMan Assay ID SYBR Green
hsa-miR-1202 002858
hsa-miR-125 000449
hsa-miR-486 002093
hsa-miR-150 000473
RNU6B 001093
RNU44 001094
RNU48 001006
U6 001093
U47 001223
HTR1A Hs00265014_s1
HTR3A Hs00168375_m1
HTR3B Hs00175775_m1
HTR3C Hs01118162_m1
SERT (SLC6A4) Hs00169010_m1
GRM4 Hs00904641_m1 F: GAC CTG CTG CCT AAC ATC AC
R: ACC TCT GTG CCA TCC TTC TC
TOX F: CAC AAC TCA CCA TCT CCA CCT
R: CGC TTC TCT CCA CCA TTG A
MRPS35 F: AGT GAC GAG AAA TGT GAG AAG
R: AAC AGA TGG TCC TGA TGA AAC A
RRN3 F: TTG AGC GGA TAG TGA TGA GC
R: TGA TGG TGT AGC AGA AGA CGA
SELT F: CGT GCC CAG CAA GAG ATT A
R: CTC CTC AAA CAC CCG CCT AT
EIF2S1 F: CCG AAG TGG ATG GAG ATG
R:CGC TGC TCT GTG TTC CTT
NUMBL F: CAG TGG GCG GCA TTA GAA G
R: ACC TGG AGA TGA TGG AGT GG
ZFHX4 F: TTC CTT CAC TCT CCG TTC TTG
R: CCA GCA GTT GTC CAG TCA TC
NTNG1 F: GCA CAA CTG GAC GAT GAG AA
R: AAT CCT GAG CCA TTA CAA CGA
HTR2A F: ACA CAG GCA GGA GGA CTA TG
R: GGC ACC ACA TCA CCA CAA
B-Actin 4310881E-1111031 F: AAG ACC TGT ACG CCA ACA CA
R: GCA GTG ATC TCC TTC TGC ATC
GAPDH 4310884E-1308057 F: TTG TCA AGC TCA TTT CCT GG
R: TGT GAG GAG GGG AGA TTC AG
Nature Medicine: doi:10.1038/nm.3582
Lopez et al
Page 7 of 17
Supplementary Table 7. Expression of miR-1202 targets in blood samples. We measured the expression of the additional genes predicted to be targets of miR-1202 in the clinical treatment samples. Three of the predicted genes (ZHX4, HTR2A and NTG1) were not detectable in blood samples. All the remaining genes were expressed at quantifiable levels, using qRT-PCR. We did not find any significant differences in the expression of any of these genes between groups. Normality was assessed by Shapiro-Wilk normality tests, and statistical differences between groups were analyzed using Student’s t-test (two-sided).
Gene Controls MDD Statistical Test
(P value)
TOX 1.00±0.09 1.02±0.06 0.85
MRPS35 0.91±0.07 1.03±0.09 0.38
RRN3 1.00±0.07 1.03±0.06 0.74
SELT 1.00±0.06 1.07±0.09 0.55
EIF2S1 0.92±0.07 0.84±0.07 0.42
NUMBL 1.00±0.1 0.89±0.08 0.40
Supplementary Table 8. Expression of metabotropic glutamate receptors in HEK293 cells. To experimentally validate our target prediction analysis, we measured the expression of other metabotropic glutamate receptors, also expressed in HEK293 cells, in the miR-1202 mimic assays reported in the manuscript. Consistent with the in silico and prediction target analyses, our results showed that transfection of HEK293 cells with a miR-1202 mimic showed no effects on GRM2, GRM3, GRM5 or GRM8 (One way ANOVA with Bonferroni correction, P>0.05), the four other metabotropic glutamate receptors endogenously expressed in HEK293 cells.
Gene Untransfected Mock miR-Scramble miR-1202 Mimic Statistical Test
(P value)
GRM2 1.00±0.3 1.00±0.1 0.97±0.3 0.97±0.2 0.99
GRM3 0.71±0.1 0.56±0.03 0.62±0.1 0.77±0.2 0.26
GRM5 0.88±0.2 0.86±0.1 0.68±0.3 0.73±0.3 0.65
GRM8 1.00±0.1 1.2±0.3 0.83±0.1 1.02±0.03 0.10
Nature Medicine: doi:10.1038/nm.3582
Lopez et al
Page 8 of 17
Supplementary Figure 1A. miR-1202 Conservation. Conservation of miR-1202 across 100 different animal genomes available through the UCSC genome browser hg19 assembly. Highlighted in light blue are the genomes that code for miR-1202.
Nature Medicine: doi:10.1038/nm.3582
Lopez et al
Page 9 of 17
Supplementary Figure 1B. Let-7A1 Conservation. Conservation of Let7a1 across 100 different animal genomes available through the UCSC genome browser hg19 assembly. Highlighted in light blue are the 95 genomes that code for Let-7A1.
Nature Medicine: doi:10.1038/nm.3582
Lopez et al
Page 10 of 17
Supplementary Figure 2 Protein expression of GRM4. We measured protein expression levels of GRM4 using
western blot analysis in the PCF from the depressed individuals and psychiatrically healthy controls included in
the microarray analysis. We observed an increase in GRM4 protein expression levels significantly correlated
with the increased GRM4 mRNA levels originally reported in the manuscript (P<0.03, Pearson’s r = 0.45,
R²=0.2). When comparing GRM4 protein levels between groups, we observed a trend toward increased GRM4
levels among depressed cases (P=0.08, FC=1.15)
Supplementary Figure 3 Effects of Anxiety on miR-1202 and GRM4. We investigated brain tissue from 16 individuals who at the time of their death met criteria to a major anxiety disorders (OCD, PTSD, panic disorder or GAD) and were of similar age to our depressed cases and controls. However, as the vast majority of these individuals died by suicide (N=12/16), as expected they also met criteria for major depressive disorder or depression NOS. We compared the expression of miR-1202 and GRM4 in PFC brain tissue from these individuals to a depressed group (N: 10) and psychiatrically health controls (N: 15). These results showed a significant difference in the expression of miR-1202 between groups (One way ANOVA with Bonferroni correction, P>0.001). Consistently, we found a significant increase of GRM4 in the anxiety group (One way ANOVA with Bonferroni correction, P>0.001) as compared to controls.
Controls MDD Anxiety + MDD0.0
0.5
1.0
1.5
miR-1202
****
Qty
Mean
(m
iR-1
202/R
NU
6B
)
Controls MDD Anxiety + MDD0.0
0.5
1.0
1.5
GRM4
Qty
Mean
(G
RM
4/E
nd
o C
trls
)
****
GRM4 - Protein
Controls MDD1.0
1.5
2.0
2.5
GR
M4
GRM4
1 2 30.0
0.5
1.0
1.5
2.0
2.5
Protein GRM4
mR
NA
GR
M4
Nature Medicine: doi:10.1038/nm.3582
Lopez et al
Page 11 of 17
Supplementary Figure 4 Interaction between GRM4, miR-1202 and target protectors
Supplementary Figure 5 Target Protector Treatment and Controls There were no effects on GRM4 after treatment with any of the two target protectors alone, miR-mimic scramble or vehicle controls.
Supplementary Figure 6 Expression of miR-1202 in NPCs across time (0-38 days) Human NPCs show relatively high levels of miR-1202 after one week of differentiation
*** ***
Nature Medicine: doi:10.1038/nm.3582
Lopez et al
Page 12 of 17
Supplementary Figure 7 MTT Assay L-AP4 and MSOP showed no toxicity in the MTT cytotoxicity assay.
MTT-Assay
Control L-AP4 (100uM) MSOP (150 uM)0.0
0.2
0.4
0.6
0.8M
eta
bo
lic A
cti
vit
y
Nature Medicine: doi:10.1038/nm.3582
Lopez et al
Page 13 of 17
Supplementary Figure 8 Expression of serotonergic phenotype in Human NPCs (A) Using qRT-PCR we found endogenous expression of the serotonin transporter (SERT) and the serotonin receptors HRT1A, HRT2A, HRT3A and HRT3B. (B) Upper panels present immunocytochemistry performed on NPCs while middle and lower panels display negative and positive controls performed on undifferentiated cells and mouse brain tissue, respectively. In green from left to right: α-tubulin determines the cellular structure of the cells showing the neuron-like
A.
B.
Nature Medicine: doi:10.1038/nm.3582
Lopez et al
Page 14 of 17
shape of the neural progenitors, SERT confirms the presence of the 5-HT transporter in neural progenitors, TpOH the rate limiting enzyme of 5-HT synthesis confirms that the neural progenitors express a serotoninergic phenotype, GRM4 shows the presence of this metabotropic glutamate receptor on the neural progenitors and TH shows that monoaminergic phenotype is expressed by really rare neural progenitors. In blue: nucleus staining with Hoescht stain shows the presence of the cells. These results demonstrate that the vast majority of NPcs express a serotoninergic phenotype, by synthesizing and re-uptaking 5-HT. Moreover, they express mGlu4 receptors
Supplementary Figure 9 Antidepressant concentrations. Antidepressants were tested at four different concentrations (Citalopram: 0uM, 50uM, 100uM and 200uM, Imipramine: 0uM, 6.25uM, 12.5uM and 25uM) and 3 different time points (24hrs, 48hrs and 1 week) using the MTT cytotoxicity assay.
Nature Medicine: doi:10.1038/nm.3582
Lopez et al
Page 15 of 17
GRM4 - Protein
Control Imipramine Citalopram No Ab0
20
40
60
80
100
120
mean g
ray v
alu
e (
% o
f contr
ol)
***
***
**
Supplementary Figure 10 Expression of GRM4 in human NPCs. Using imaging and immunocytochemistry assays, we measured the expression levels of GRM4 in neural progenitor cells (NPCs) treated with citalopram and imipramine, as previously described in figures 2G and 2H. Consistent with our mRNA results, chronic treatment with both citalopram and imipramine significantly reduced GRM4 protein expression levels (One way ANOVA with Bonferroni correction, P< 0.0001).
Nature Medicine: doi:10.1038/nm.3582
Lopez et al
Page 16 of 17
Supplementary Figure 11 SERT, miR-1202, GRM4 and antidepressant treatment (A) A one way ANOVA with Bonferroni correction (P<0.0001) shows that there is a significant decrease in the expression of SERT after chronic antidepressant treatment. These results confirm that both citalopram and imipramine alter the expression of SERT in NPCs, and suggest that the effects seen on miR-1202 and GRM4 may be related to the reuptake blockade induced by chronic antidepressant action. (B). NPCs were treated with lithium and valproate for two weeks. Our results showed that chronic treatment with lithium or valproate do not alter the expression of the serotonin transporter (One way ANOVA with Bonferroni correction, P>0.05). (C-D) We measured the expression of miR-1202 and GRM4 after chronic treatment with lithium and valproate. Our results showed no significant differences in the expression of miR-1202 or GRM4 after chronic treatment as compared to controls (One way ANOVA with Bonferroni correction, P>0.05). (E) Expression of SERT is significantly reduced in the SERT knocked down cells as compared to untreated controls (P< 0.0001; FC=0.36) and cells treated with a control hairpin RNA (P< 0.0001; FC=0.35). These results confirm a 75% knockdown of SERT in human NPCs. (F-G) SERT knock-down and control cell lines were grown and treated chronically with citalopram and imipramine. Our results showed that the effects of chronic antidepressant treatment on miR-1202 levels are not present in the SERT knock-down cells, while they are still present in the control cell lines (One way ANOVA with Bonferroni correction, P< 0.05).
SERT
Controls Imipramine Citalopram0.0
0.5
1.0
1.5
*** ***
Qty
Me
an
(S
ER
T/B
-Ac
tin
& G
AP
DH
)
SERT
Controls Lithium Valproate0.0
0.5
1.0
1.5
Qty
Me
an
(S
ER
T/B
-Ac
tin
& G
AP
DH
)
miR-1202
Control Lithium Valproate0.0
0.5
1.0
1.5
Qty
Mean
(m
iR-1
202/R
NU
6B
)
Control Lithium Valproate0.0
0.5
1.0
1.5
GRM4
Qty
Me
an
(G
RM
4/B
-Acti
n &
GA
PD
H)
SERT
Untreated Ctrl KD KD Ctrl0.0
0.5
1.0
1.5
***
Qty
Mean
(S
ER
T/G
AP
DH
)
Knock-down Cells
Control Imipramine Citalopram0.0
0.5
1.0
1.5
2.0
2.5
Qty
Mean
(m
iR-1
202/R
NU
6B
)
RNA Hairpin Control Cells
Controls Imipramine Citalopram0.0
0.5
1.0
1.5
2.0
2.5* *
Qty
Mean
(m
iR-1
202/R
NU
6B
)
A
B C D
E F G
Nature Medicine: doi:10.1038/nm.3582
Lopez et al
Page 17 of 17
Supplementary Figure 12 Expression levels of ubiquitously expressed miRNAs (miR-125, miR-486, miR-150) and endogenous controls (RNU44, RNU48). (A,C) Chronic (2 weeks) Imipramine treatment. (B,D) Chronic (2 weeks) Citalopram treatment. There were no significant differences in the expression levels of any of these miRNAs or endogenous controls as a result of chronic antidepressant treatment (P>0.05)
A. B.
C. D.
Nature Medicine: doi:10.1038/nm.3582