supplementary info draft 12 · 2016-08-18 · supplementary information sensitivity and engineered...
TRANSCRIPT
Supplementary Information Sensitivity and engineered resistance of myeloid leukemia cells to BRD9 inhibition
Anja F. Hohmann1,2, Laetitia J. Martin3, Jessica Minder1, Jae-Seok Roe1, Junwei Shi1,4, Steffen
Steurer3, Gerd Bader3, Darryl McConnell3, Mark Pearson3, Thomas Gerstberger3, Teresa
Gottschamel3, Diane Thompson3, Yutaka Suzuki5, Manfred Koegl3, and Christopher R. Vakoc1,2
1 Cold Spring Harbor Laboratory, Cold Spring Harbor, New York, U.S.A.
2 Watson School of Biological Sciences, Cold Spring Harbor Laboratory, Cold Spring Harbor, New
York, U.S.A.
3 Boehringer Ingelheim Regional Center Vienna GmbH and Company KG, Vienna, Austria.
4 Molecular and Cellular Biology Program, Stony Brook University, Stony Brook, New York,
U.S.A.
5 Department of Medical Genome Sciences, University of Tokyo, Kashiwa, Chiba 277-8562, Japan.
Nature Chemical Biology: doi:10.1038/nchembio.2115
Supplementary Results
Nature Chemical Biology: doi:10.1038/nchembio.2115
Supplementary Tables
Gene_Set_Name NES FWER p-valREACTOME_3_UTR_MEDIATED_TRANSLATIONAL_REGULATION 3.08 0REACTOME_PEPTIDE_CHAIN_ELONGATION 3.05 0REACTOME_TRANSLATION 3.04 0KEGG_RIBOSOME 3.04 0HALLMARK_MYC_TARGETS_V2 3.04 0REACTOME_INFLUENZA_VIRAL_RNA_TRANSCRIPTION_AND_REPLICATION 3.03 0REACTOME_SRP_DEPENDENT_COTRANSLATIONAL_PROTEIN_TARGETING_TO_MEMBRANE 2.99 0REACTOME_NONSENSE_MEDIATED_DECAY_ENHANCED_BY_THE_EXON_JUNCTION_COMPLEX 2.95 0GNF2_EIF3S6 2.95 0REACTOME_INFLUENZA_LIFE_CYCLE 2.94 0STRUCTURAL_CONSTITUENT_OF_RIBOSOME 2.92 0MORF_NPM1 2.84 0GCM_TPT1 2.82 0MORF_TPT1 2.81 0MYC_UP.V1_UP 2.76 0BILANGES_SERUM_AND_RAPAMYCIN_SENSITIVE_GENES 2.76 0MORF_ACTG1 2.75 0GNF2_FBL 2.73 0TRANSLATION 2.72 0HALLMARK_MYC_TARGETS_V1 2.71 0SCHUHMACHER_MYC_TARGETS_UP 2.71 0GNF2_ST13 2.71 0REACTOME_FORMATION_OF_THE_TERNARY_COMPLEX_AND_SUBSEQUENTLY_THE_43S_COMPLEX 2.70 0GNF2_NPM1 2.68 0REACTOME_ACTIVATION_OF_THE_MRNA_UPON_BINDING_OF_THE_CAP_BINDING_COMPLEX_AND_EIFS_AND_SUBSEQUENT_BINDING_TO_43S 2.68 0GNF2_TPT1 2.64 0REACTOME_METABOLISM_OF_PROTEINS 2.63 0DANG_MYC_TARGETS_UP 2.62 0GCM_NPM1 2.59 0MORF_NME2 2.58 0
Supplementary Table 1 | The 30 gene sets found to have the highest NES by GSEA performed on the RNA-Seq data set presented in Fig. 2d. Highlighted in red are those gene sets depicted as red dots in Fig. 2e.
Nature Chemical Biology: doi:10.1038/nchembio.2115
Gene_Set_Name NES FWER p-valJAATINEN_HEMATOPOIETIC_STEM_CELL_DN -2.86 0GSE22886_NAIVE_CD8_TCELL_VS_MONOCYTE_DN -2.82 0HALLMARK_MITOTIC_SPINDLE -2.75 0BROWN_MYELOID_CELL_DEVELOPMENT_UP -2.72 0GSE29618_PDC_VS_MDC_DAY7_FLU_VACCINE_DN -2.68 0GNF2_CCNA2 -2.67 0TAKEDA_TARGETS_OF_NUP98_HOXA9_FUSION_8D_DN -2.67 0GSE29618_MONOCYTE_VS_PDC_UP -2.66 0GNF2_CCNB2 -2.65 0GNF2_CDC2 -2.64 0GNF2_HMMR -2.64 0MODULE_45 -2.64 0IVANOVA_HEMATOPOIESIS_MATURE_CELL -2.63 0NAKAYAMA_SOFT_TISSUE_TUMORS_PCA2_UP -2.63 0GNF2_ITGB2 -2.59 0GNF2_CDC20 -2.59 0REICHERT_MITOSIS_LIN9_TARGETS -2.58 0GSE22886_NAIVE_TCELL_VS_MONOCYTE_DN -2.58 0GSE29618_PDC_VS_MDC_DN -2.56 0GSE22886_NAIVE_CD4_TCELL_VS_MONOCYTE_DN -2.56 0GSE3982_NEUTROPHIL_VS_NKCELL_UP -2.56 0FLECHNER_BIOPSY_KIDNEY_TRANSPLANT_REJECTED_VS_OK_UP -2.55 0CHUNG_BLISTER_CYTOTOXICITY_DN -2.54 0HESS_TARGETS_OF_HOXA9_AND_MEIS1_DN -2.54 0GSE10239_KLRG1INT_VS_KLRG1HIGH_EFF_CD8_TCELL_DN -2.53 0GTTATAT,MIR-410 -2.53 0GNF2_PTPRC -2.51 0GSE11057_PBMC_VS_MEM_CD4_TCELL_UP -2.51 0CUI_TCF21_TARGETS_2_DN -2.51 0KAMIKUBO_MYELOID_CEBPA_NETWORK -2.50 0
Supplementary Table 2 | The 30 gene sets found to have the lowest NES by GSEA performed on the RNA-Seq data set presented in Fig. 2d. Highlighted in red are those gene sets depicted as blue dots in Fig. 2e.
Nature Chemical Biology: doi:10.1038/nchembio.2115
mouse shRNA sequences
shRenTGCTGTTGACAGTGAGCGCAGGAATTATAATGCTTATCTATAGTGAAGCCACAGATGTATAGATAAGCATTATAATTCCTATGCCTACTGCCTCGGA
shBrg1TGCTGTTGACAGTGAGCGACTCCGTCAAGGTGAAGATCAATAGTGAAGCCACAGATGTATTGATCTTCACCTTGACGGAGCTGCCTACTGCCTCGGA
shBrd9.136TGCTGTTGACAGTGAGCGAGCCACGACTCCAGCTACTACATAGTGAAGCCACAGATGTATGTAGTAGCTGGAGTCGTGGCCTGCCTACTGCCTCGGA
shBrd9.422TGCTGTTGACAGTGAGCGCCCAGAGGCTTCTGGAACACTTTAGTGAAGCCACAGATGTAAAGTGTTCCAGAAGCCTCTGGATGCCTACTGCCTCGGA
shBrd9.510TGCTGTTGACAGTGAGCGCCCTGGGTATTCAATGATAATATAGTGAAGCCACAGATGTATATTATCATTGAATACCCAGGATGCCTACTGCCTCGGA
shBrd9.512TGCTGTTGACAGTGAGCGATGGGTATTCAATGATAATAAATAGTGAAGCCACAGATGTATTTATTATCATTGAATACCCAGTGCCTACTGCCTCGGA
shBrd9.561TGCTGTTGACAGTGAGCGCGACAAGATTGTAGCTAATGAATAGTGAAGCCACAGATGTATTCATTAGCTACAATCTTGTCTTGCCTACTGCCTCGGA
shBrd9.783TGCTGTTGACAGTGAGCGACAAGTAGAAACTACCAAGAAATAGTGAAGCCACAGATGTATTTCTTGGTAGTTTCTACTTGCTGCCTACTGCCTCGGA
shBrd9.1061TGCTGTTGACAGTGAGCGCGGACCTGAGTTCACTGTCTAATAGTGAAGCCACAGATGTATTAGACAGTGAACTCAGGTCCATGCCTACTGCCTCGGA
shBrd9.1116TGCTGTTGACAGTGAGCGAAAAGATGAAAGAAGAAATAAATAGTGAAGCCACAGATGTATTTATTTCTTCTTTCATCTTTGTGCCTACTGCCTCGGA
shBrd9.1211TGCTGTTGACAGTGAGCGCTGAGATGGAGCTTCTGTATTATAGTGAAGCCACAGATGTATAATACAGAAGCTCCATCTCATTGCCTACTGCCTCGGA
shBrd9.1630TGCTGTTGACAGTGAGCGCCTCGGCCATCCTCCAACCTTATAGTGAAGCCACAGATGTATAAGGTTGGAGGATGGCCGAGATGCCTACTGCCTCGGA
shBrd7.536TGCTGTTGACAGTGAGCGATACCATGAAAGAAAAGATCAATAGTGAAGCCACAGATGTATTGATCTTTTCTTTCATGGTACTGCCTACTGCCTCGGA
shBrd7.548TGCTGTTGACAGTGAGCGCAAAGATCAAGAATAACGACTATAGTGAAGCCACAGATGTATAGTCGTTATTCTTGATCTTTTTGCCTACTGCCTCGGA
shBrd7.569TGCTGTTGACAGTGAGCGCCCAGTCCATAGAAGAACTAAATAGTGAAGCCACAGATGTATTTAGTTCTTCTATGGACTGGTTGCCTACTGCCTCGGA
shBrd7.1726TGCTGTTGACAGTGAGCGATGGGTCCTTCTTACAGAGAAATAGTGAAGCCACAGATGTATTTCTCTGTAAGAAGGACCCAGTGCCTACTGCCTCGGA
shBrd7.1803TGCTGTTGACAGTGAGCGCCCAGGTGATGTTGTAAGCATATAGTGAAGCCACAGATGTATATGCTTACAACATCACCTGGATGCCTACTGCCTCGGA
shBrd7.1894TGCTGTTGACAGTGAGCGCCAGGAGAGTGTGAAGAACCTATAGTGAAGCCACAGATGTATAGGTTCTTCACACTCTCCTGTTGCCTACTGCCTCGGA
Supplementary Table 3 | Sequences of mouse shRNAs used in this study.
Nature Chemical Biology: doi:10.1038/nchembio.2115
human shRNA sequences
shBRD9.508TGCTGTTGACAGTGAGCGACTCCTGGATATTCAATGATAATAGTGAAGCCACAGATGTATTATCATTGAATATCCAGGAGCTGCCTACTGCCTCGGA
shBRD9.510TGCTGTTGACAGTGAGCGCCCTGGATATTCAATGATAATATAGTGAAGCCACAGATGTATATTATCATTGAATATCCAGGATGCCTACTGCCTCGGA
shBRD9.512TGCTGTTGACAGTGAGCGATGGATATTCAATGATAATAAATAGTGAAGCCACAGATGTATTTATTATCATTGAATATCCAGTGCCTACTGCCTCGGA
shBRD9.561TGCTGTTGACAGTGAGCGCGACAAAATTGTAGCTAATGAATAGTGAAGCCACAGATGTATTCATTAGCTACAATTTTGTCTTGCCTACTGCCTCGGA
Supplementary Table 4 | Sequences of human shRNAs used in this study.
Nature Chemical Biology: doi:10.1038/nchembio.2115
Category Parameter Description Description Description Assay Type of assay Thermal Shift Assay (DSF) Surface Plasmon Resonance
Microscale Thermophoresis
Target BRD9 BRD9 BRD9 Primary
measurement Protein Stability Mass increase Protein mobility in
temperature gradient
Key reagents Fluorescent Dye His-tagged protein Fluorescent Dye Assay protocol Anal Biochem. 2004 Sep
1;332(1):153-9.
J.Biomol. Screening 2009 14:337-49
ChemMedChem. 2015 Sep;10(9):1511-21
Library Library size 1.697 1.697 1.697
Library composition
Generic fragment set Generic fragment set Generic fragment set
Source BI pool BI pool BI pool Screen Format 384 well 384 well 384 well Concentration(s)
tested 400 µM, 2% DMSO 100 µM, 1 % DMSO 500 µM, 5% DMSO
Plate controls Positive (in-house bromodomain binder) and negative (DMSO) controls
Positive (in-house bromodomain binder) and negative (buffer) controls
Positive (in-house bromodomain binder) and negative (DMSO) controls
Reagent/ compound dispensing system
Hamilton Star system CyBio System 6 Hamilton Star system
Detection instrument and software
Bio-Rad CFX384 Real-Time System (C1000Touch Thermal Cycler;) / Bio-Rad CFX Manager-Data Analysis software
Biacore T200 / BiaEvaluation software
In house implemented automation of Nanotemper NT.015 / Nanotemper Analysis software
Assay validation/QC
Z’ = 0.55 Z’ = 0.93
Correction factors DMSO solvent correction Normalization Normalization to positive control
Post-HTS analysis
Hit criteria ΔT≥1°C BR ≥20% ∆MST(DMSO, Cpd) ≥ MST(2sd DMSO)
Hit rate 2.1% Hit rate 2.7% 6.6% Additional
assay(s)
Confirmation of hit purity and structure
Entire screening library QC’ed for purity and structural identity
Entire screening library QC’ed for purity and structural identity
Entire screening library QC’ed for purity and structural identity
Additional comments
94.4% Hit confirmation by 15N HSQC
72.2% Hit confirmation by 15N HSQC
26 % Hit confirmation by 15N HSQC
Supplementary Table 5 | Overview of small molecule screening methods
Nature Chemical Biology: doi:10.1038/nchembio.2115
Data collection and refinement statistics BI-7273 Data collection* Space group P 21 21 2 Cell dimensions a, b, c (Å) 70.80, 125.34, 29.92 α, β, γ (°) 90.00, 90.00, 90.00 Resolution (Å) 1.60 (1.79 – 1.60) ** Rmerge (%) 3.0 (67.0) CC1/2(ref. 2) 1.0 (0.924) I / σI 26.2 (3.1) Completeness (%) 99.9 (99.7) Redundancy 6.3 (6.3) Refinement Resolution (Å) 1.60 No. reflections 35816 Rwork / Rfree (%) 17.8/19.2 No. atoms Protein 1847 Ligand/ion 52 Water 352 B-factors (Å2) Protein 35.75 Ligand/ion 32.13 Water 47.24 R.m.s. deviations Bond lengths (Å) 0.009 Bond angles (°) 0.81 * Values in parentheses are for highest-resolution shell. ** Resolution cutoffs have been determined using the standard parameters of autoPROC(ref. 1)
1. Vonrhein, C. et al. Data processing and analysis with the autoPROC toolbox. Acta Crystallogr D Biol Crystallogr 67, 293-302 (2011). 2. Karplus, P.A., Diederichs, K. Linking crystallographic model and data quality. Linking crystallographic model and data quality. Science 336, 1030-33 (2012).
Stereo image of BI-7273 bound to BRD9 (wall-eye stereo). The refind 2Fo-Fc electron density is countoured at 1 σ.
Supplementary Table 6 | Crystal structure data refinement and statistics
Nature Chemical Biology: doi:10.1038/nchembio.2115
Supplementary Figures
Supplementary Figure 1 | BRD9 binding to the MYC locus in RN2 and NOMO-1 cells
(a) ChIP-Seq occupancy profiles for BRD9 at the MYC locus in NOMO-1 cells derived using two different antibodies for BRD9. The y-axis reflects the number of cumulative ChIP-Seq tag counts within a 50-100 bp bin surrounding each region. Ab1: Bethyl #A303-781A; Ab2: Abcam #ab66443.
(b) Magnified ChIP-Seq occupancy profile of BRD9 at the MYC promoter and super-enhancer region in NOMO-1 cells.
(c) Ranking of Brd9-occupied sites based on tag counts obtained from ChIP-Seq analysis in RN2 cells.
(d) Ranking of BRD9-occupied sites based on tag counts obtained from ChIP-Seq analysis in NOMO-1 cells.
aScalechr8:
DNase ClustersTxn Factor ChIP
RhesusMouse
DogElephantChicken
X_tropicalisZebrafishLamprey
Common SNPs(142)
1 Mb hg19129,000,000 129,500,000 130,000,000 130,500,000
BC042052MYCMYCMYC
HV975509
MYC
MYCPVT1
MIR1204
PVT1TMEM75
MIR1205
MIR1206
U4
MIR1207
MIR1208 BC009730 BC014119 LOC7287247SK
CCDC26
Nomo1_Brd9Bethyl.bigw
52 -
1 _
Nomo1_ab66443.bigwig
138 -
1 _
Layered H3K27Ac100 -
0 _
100 Vert. Cons4.88 -
-4.5 _
0 -
1 Mb
BRD9 Ab1
52-
1_
BRD9 Ab2
138-
1_MYC super-enhancer
BRD9 Ab2
Scalechr8:
CCDC26CCDC26CCDC26CCDC26
50 kb hg19130,560,000 130,570,000 130,580,000 130,590,000 130,600,000 130,610,000 130,620,000 130,630,000 130,640,000 130,650,000 130,660,000 130,670,000 130,680,000 130,690,000
Nomo1_ab66443.bigwig
138 -
1 _
Nomo1_Brd9Bethyl.bigw
52 -
1 _
//MYC
50 kb hg19128,730,000 128,740,000 128,750,000 128,760,000 128,770,000 128,780,000 128,790,000 128,800,000 128,810,000 128,820,000 128,830,000 128,840,000 128,850,000
138-
1_
MYC super-enhancer
50 kbb
MLL-AF9; KRASG13D human AML (NOMO-1)
MLL-AF9; KRASG13D human AML (NOMO-1)
E1 E2 E3 E4 E5
0 1000 2000 30000
500
1000
1500
Peak_name
c1500
1000
500
020000 30001000
MLL-AF9; NrasG12D murine AML (RN2)
3,305 Brd9 ChIP peaks ranked by tag counts
(5) Myc E1(6) Myc E2
(57) Myc E3(77) Myc E4Br
d9 ta
g co
unts
BRD9
tag
coun
tsd
2500
2000
1500
1000
500
00 2000 4000 6000
0
500
1000
1500
2000
2500
Peak_name2000 4000 60000
MLL-AF9; KRASG13D human AML (NOMO-1)
7,175 BRD9 ChIP peaks ranked by tag counts
(1) MYC E2
(8) MYC E5
(53) MYC E1(64) MYC E4.1
(198) MYC E3(325) MYC E4.2
Nature Chemical Biology: doi:10.1038/nchembio.2115
a
Gapdh Brd9 Brd93’UTR
Brg1 Brd4
Gapdh, Brd9, Brg1, Brd4
Gapdh
Brd9
Brd9 3
' UTR
Smarca
4Brd
4 0.0
0.5
1.0DoxD2 Rluc.713DoxD2 Brd9.s1/510DoxD2 Brd9.s2/561DoxD2 Brd9.841/783DoxD2 Brd9.u5/1061DoxD2 Brd9.1174/1116
1.0
0.5
0.0
Rela
tive
mRN
A ex
pres
sion
shRen
shBrd9783
1116
510561
1061
Data 4 - no s4
Gapdh
Brd9
Brd9 3'
UTR
Myc
Myc 3'
UTR
Smarca4
Brd4
0.0
0.5
1.0DoxD2 Rluc.713DoxD2 Brd9.s1/510DoxD2 Brd9.s2/561DoxD2 Brd9.841/783DoxD2 Brd9.u5/1061DoxD2 Brd9.1174/1116
RN2
b
2 d6 d10 d14 d18 d22 d
empt
y +
RLuc
.713
empt
y +
Brd9
.561
empt
y +
Brd9
.111
6
BRD9
+ R
Luc.
713
BRD9
+ B
rd9.
561
BRD9
+ B
rd9.
1116
0.0
0.5
1.0
1.5
Day 2Day 4Day 6Day 8Day 10Day 12
Norm
alize
d %
GFP
and
mCh
erry
+ve
cel
ls
RLu
c
Rpa3
Brd
9.8
41
Brd
9.1
17
4
0
50
100
150
Day 2Day 6Day 10Day 14Day 18Day 22
No
rma
lize
d %
of
GF
P +
ve c
ells
1.5
1.0
0.5
0.0
Rela
tive
% G
FP+
shBrd9
783
1116
shRen
shRpa
3
iMEF
c
Gapdh Brd9 Brd93’UTR
Gapdh, Brd9
Gapdh
Brd9
Brd9 3' UTR
0.0
0.5
1.0TRIN Rluc.713TRIN Brd9.s1/510TRIN Brd9.841/783TRIN Brd9.u5/1061TRIN Brd9.1174/1116
1.0
0.5
0.0Rela
tive
mRN
A ex
pres
sion
shRen
shBrd9783
1116
510
1061
MEF
Gapdh
Brd9
Brd9 3'
UTR
Myc
Myc 3'
UTR
TRIN Rluc.713TRIN Brd9.s1/510TRIN Brd9.841/783TRIN Brd9.u5/1061TRIN Brd9.1174/1116
iMEF 2 d4 d6 d8 d10 d12 d
empt
y +
RLuc
.713
empt
y +
Brd9
.561
empt
y +
Brd9
.111
6
BRD9
+ R
Luc.
713
BRD9
+ B
rd9.
561
BRD9
+ B
rd9.
1116
0.0
0.5
1.0
1.5
Day 2Day 4Day 6Day 8Day 10Day 12
Norm
alize
d %
GFP
and
mCh
erry
+ve
cel
ls d
2.0
1.0
0.0
3.0
shBrd718
94536
548
569
1726
1803
shRen
RLuc
Brd7
.775
Brd7
.787
Brd7
.808
Brd7
.196
5
Brd7
.204
2
Brd7
.213
3
0
1
2
3Day 2Day 4Day 6Day 8Day 10Day 12
Norm
alize
d %
GFP
+ve
cells
Rela
tive
% G
FP+
RN2
g h
NOMO-1
MOLM-13
THP-1
MV4-11
ML-2HL-60
CMKEoL-1
A549H1299
HEK293T
K-562JURKAT
HCC1954639VHeLa
MLL-AF9, KRASG13D; AML M5a
MLL-AF9, FLT3ITD; AML M5a
MLL-AF9, NRASmut; AML M5
MLL-AF4; AML M5
MLL-AF6; AML M4MYC amplification; AML M2
JAK3A572V; AML-M7 + Down’s SyndromeFIP1L1-PDGFRA, MLL-ITD; Eosinophilic AML
SMARCA4mut; Non-small cell lung cancerSMARCA4mut; Non-small cell lung cancer
Embryonic kidney cells
BCR-ABL1; CML blast crisisT-ALL
BRD9 amplification; breast cancerUreter transitional cell carcinomaCervical adenocarcinoma
Cell line Genetics or disease descriptionshRen shBRD9
17013010070
55
40
508 510 512 561
55
40
kDa
BRD9
Actin
50% 100%
Gapdh Brd7 Brd73’UTR
1.0
0.5
0.0
e
Rela
tive
mRN
A ex
pres
sion
Gapdh, Brd7
Gapdh
Brd7
Brd7 3
' UTR
0.0
0.5
1.0RLuc.713Brd7.775/536Brd7.787/548Brd7.808/569Brd7.1965/1726Brd7.2402/1803Brd7.2133/1894
RN2 shRen536
shBrd71726
1894
548569
1803
RN2
Gapdh
Brd7
Brd7 3'
UTR
Myc
Myc 3'
UTR
0.0
0.5
1.0RLuc.713Brd7.775/536Brd7.787/548Brd7.808/569Brd7.1965/1726Brd7.2402/1803Brd7.2133/1894
Rel
ativ
e m
RN
A e
xpre
ssio
n
kDa
BRD9
actin
f
shRen shBRD9
508 510 512 56150% 100%
130
100
70
40
HeLa
OPM1
Nature Chemical Biology: doi:10.1038/nchembio.2115
Supplementary Figure 2 | Experiments to examine shRNA knockdown efficiencies, the effect of Brd9 knockdown in iMEF cells, and the consequences of Brd7 knockdown in RN2 cells
(a) qRT-PCR analysis to test the knockdown efficiency of Brd9 shRNAs in RN2 cells. mRNA levels were examined after 48 hours of shRNA expression (TRMPV-Neo vector). Values were normalized to Gapdh expression within each sample and to shRen values across samples. n = 3
(b) Competition-based assay to measure effect of Brd9 shRNAs on growth of iMEF cells. Transduced (shRNA-expressing) cells were identified by co-expression of GFP (LMN vector). The percentage of GFP+ cells was normalized to GFP percentage on day 2. shRpa3 targets Replication Protein A3 and serves as a positive control. n = 3, except for shRpa3 for which n = 2
(c) qRT-PCR analysis to test the knockdown efficiency of Brd9 shRNAs in iMEF cells. Performed as in (a). n = 2
(d) Competition-based assay to measure the effect of Brd7 shRNAs on the growth of RN2 cells. Performed as in (b). n = 3, except of shRen for which n = 2
(e) qRT-PCR analysis to test Brd7 shRNA knockdown efficiency in RN2 cells. Performed as in (a), except that the LMN vector was used for shRNA expression. n = 1
(f,g) Western blot to test knockdown efficiency of human BRD9 shRNAs in HeLa (f) and OPM-1 (g) cells. Actin blot serves to control for gel loading.
(h) Genetic background and/or disease descriptions of human cell lines profiled for sensitivity to BRD9 knockdown.
shRen targets Renilla luciferase and serves as a negative control. All error bars in this figure represent SEM.
Nature Chemical Biology: doi:10.1038/nchembio.2115
Supplementary Figure 3 | Effect of Brd9 or Brd7 knockdown on Myc expression
(a) qRT-PCR analysis to test the effect Brd9 knockdown on Myc expression in RN2 cells. mRNA levels were examined after 48 hours of shRNA expression (TRMPV-Neo vector). Values were normalized to Gapdh expression within each sample and to shRen values across samples. n = 3
(b) qRT-PCR analysis to test effect of Brd7 knockdown on Myc expression in RN2 cells. Performed as in (a), except that the LMN vector was used for shRNA expression. n = 1
(c) GSEA plots of the top 100 genes downregulated after 4 days of shBrg1 expression in RN2 cells (shBrg1_Top100Down), genes up-regulated in Burkitt’s Lymphoma cells induced to express MYC (Schuhmacher_MYC_Targets_Up), genes expressed in leukemia stem cells
Gapdh, Myc
Gapdh
Myc
Myc 3' U
TR
0.0
0.5
1.0
TRIN Rluc.713TRIN Brd9.s1/510TRIN Brd9.841/783TRIN Brd9.u5/1061TRIN Brd9.1174/1116
Gapdh Myc Myc3’UTR
1.0
0.5
0.0
b
Re
lative
mR
NA
exp
ressio
n
shRen
536
shBrd71726
1894
548
569
1803
RN2
Gapdh
Brd7
Brd7 3'
UTR
Myc
Myc 3'
UTR
0.0
0.5
1.0RLuc.713Brd7.775/536Brd7.787/548Brd7.808/569Brd7.1965/1726Brd7.2402/1803Brd7.2133/1894
Rel
ativ
e m
RN
A e
xpre
ssio
n Gapdh, Myc
Gapdh Myc
Myc 3'
UTR
0.0
0.5
1.0RLuc.713Brd7.775/536Brd7.787/548Brd7.808/569Brd7.1965/1726Brd7.2402/1803Brd7.2133/1894
a
1.0
0.5
0.0
Gapdh
Re
lative
mR
NA
exp
ressio
n
Myc Myc3’UTR
shRen
shBrd9783
1116
510
561
1061
Data 4 - no s4
Brd9
Brd9 3'
UTR
Myc
Myc 3'
UTR
Smarca4
Brd4
DoxD2 Rluc.713DoxD2 Brd9.s1/510DoxD2 Brd9.s2/561DoxD2 Brd9.841/783DoxD2 Brd9.u5/1061DoxD2 Brd9.1174/1116
Gapdh, Myc
Gapd
hMyc
Myc 3' U
TR
0.0
0.5
1.0DoxD2 Rluc.713DoxD2 Brd9.s1/510DoxD2 Brd9.s2/561DoxD2 Brd9.841/783DoxD2 Brd9.u5/1061DoxD2 Brd9.1174/1116
RN2 RN2
e
1.0
0.5
0.0
Gapdh Myc
Re
lative
mR
NA
exp
ressio
n
Myc3’UTR
shRen
shBrd9783
1116
510
1061
MEF
Gapdh
Brd9
Brd9 3'
UTR
Myc
Myc 3'
UTR
0.0
0.5
1.0
1.5 TRIN Rluc.713TRIN Brd9.s1/510TRIN Brd9.841/783TRIN Brd9.u5/1061TRIN Brd9.1174/1116
Rel
ativ
e m
RN
A e
xpre
ssio
n
iMEF
f g
Lo
g2 (
FP
KM
sh
Brd
9 /
FP
KM
sh
Re
n) 2
0
-2
d
-12
4
-1
1
-3
-6
-12-6-3
-2
-1
0
1
24
8657 genes with FPKM > 5 in shRen sample
iMEF
Myc (4066)
Brd9 (42)
-2
-1
0
2
3
0 0.5 1
NE
S
FWER p-val
71
50
ge
ne
se
ts
1
-3
Myc target
gene
signatures
Myeloid
differentiation
signatures
shBrd9
Top100Down
/Up
-3-2
-10
12
30.00.51.0
NES
c
0.0
0.6
shBrg1_Top100Down
shBrd9shRen
0.0
0.7
Schuhmacher_MYC_Targets_Up
shBrd9shRen
0.0
0.6
LSC_Signature_Somervaille
shBrd9shRen
-0.5
0.0
Ivanova_Hematopoiesis
Mature_Cell
shBrd9shRen
En
rich
me
nt
sco
re
En
rich
me
nt
sco
re
NES: 2.50
FWER p-val: 0
NES: 2.13
FWER p-val: 0.015
NES: -2.63
FWER p-val: 0
NES: 2.71
FWER p-val: 0
-0.2
0.3
shBrd9_Top100Up
shBrd9shRen
-0.1
0.2
shBrd9_Top100Down
shBrd9shRen
En
rich
me
nt
sco
re
En
rich
me
nt
sco
re
NES: 0.78
FWER p-val: 1
NES: 1.00
FWER p-val: 1
0
0
Nature Chemical Biology: doi:10.1038/nchembio.2115
(LSC_Signature_Somervaille), and genes up-regulated in mature blood cell populations from adult bone marrow and fetal liver (Ivanova_Hematopoiesis_Mature_Cell).
(d) RNA-Seq analysis of gene expression changes in iMEF cells expressing Brd9 shRNAs for 2 days (TRMPV-Neo vector). Averaged FPKM values for two independent Brd9 shRNAs were normalized to mRNA levels in control cells expressing shRen.
(e) qRT-PCR analysis to test the effect of Brd9 knockdown on Myc expression in iMEF cells. Performed as in (a). n = 2
(f) Gene set enrichment analysis (GSEA) on the RNA-Seq data presented in (c). FWER p-val, familywise-error rate p-value.
(g) GSEA plots of the top 100 genes up- and down-regulated after 2 days of shBrd9 expression in RN2 cells.
shRen targets Renilla luciferase and serves as a negative control. All error bars in this figure represent SEM.
Nature Chemical Biology: doi:10.1038/nchembio.2115
Supplementary Figure 4 | Effect of Brd9 knockdown on cell death and cell cycle
(a) Flow cytrometry analysis of Kit (top) and Mac1 (bottom) cell surface expression after 4 days of shRen or shBrd9 expression (TRMPV-Neo vector) in RN2 cells.
(b) qRT-PCR analysis to test Brd9 knockdown efficiency in RN2-derived shRNA-expressing clones. mRNA levels were examined after 48 hours after dox-induced shRNA expression (TRMPV-Neo vector). Values were normalized to Gapdh expression within each sample and to shRen clone 1 values across samples. n = 1
(c) Cell death assay. Flow cytometry analysis of Annexin V and DAPI stained RN2-derived clones 4 days after induction of shRen or shBrd9 expression (TRMPV-Neo vector). Annexin V-/DAPI- cells were considered live; Annexin V+/DAPI-, cells were considered pre-apoptotic; DAPI+ cells were considered dead. n = 3
(d) Cell cycle assay. Flow cytrometry analysis of BrdU labeled; BrdU and DAPI stained RN2-derived clones 4 days after induction of shRen or shBrd9 expression (TRMPV-Neo vector). BrdU-/2N cells were considered to be in G1 phase; BrdU+ cells were considered to be in S phase; BrdU-/4N cells were considered to be in G2/M phase. n = 4
clone 1 clone 3 783clone 3
1116clone 21
1116clone 29
shBrd9shRen
1.4 MNaCl
% o
f cel
ls
DeadPre-apoptoticLive
c Data 1
RLuc_cl1
RLuc_cl3
Brd9.84
1_cl3
Brd9.11
74_c
l21
Brd9.11
74_c
l29
500nM JQ1 Day2
0
50
100G1SG2
Data 1
RLuc_
cl1
RLuc_
cl3
Brd9.84
1_cl3
Brd9.11
74_c
l21
Brd9.11
74_c
l29
500n
M JQ1 D
ay2
0
50
100G1SG2
G1S
G2/M
d
100
50
0clone 1 clone 3 783
clone 31116
clone 211116
clone 29
shBrd9shRen
500 nMJQ1
% o
f cel
ls
100
50
0
b
1.0
0.5
0.0clone 1 clone 3 783
clone 31116
clone 21
Rel
ativ
e m
RN
A ex
pres
sion
1116clone 29
Data 1
Rluc
.713
Cl.1
Dox
D2
Rluc
.713
Cl.3
Dox
D2
Brd9
.841
Cl.3
Dox
D2
Brd9
.117
4 Cl.21 Do
xD2
Brd9
.117
4 Cl.29 Do
xD2
0.0
0.5
1.0GapdhBrd9Brd9 3' UTRMycMyc 3' UTR
Gapdh
Brd9 3’UTR
Myc 3’UTR
Brd9
Myc
MEF
Gapdh
Brd9
Brd9 3'
UTR
Myc
Myc 3'
UTR
0.0
0.5
1.0
1.5 TRIN Rluc.713TRIN Brd9.s1/510TRIN Brd9.841/783TRIN Brd9.u5/1061TRIN Brd9.1174/1116
Rel
ativ
e m
RN
A e
xpre
ssio
n
Data 2
RLuc_
cl1
RLuc_
cl3
Brd9.84
1_cl3
Brd9.11
74_c
l21
Brd9.11
74_c
l29
RLuc_
cl1/3_
1.4M_N
aCl
0
50
100DAPI +veAnnexinV +veNeg
a
Mac1
% o
f Max
- shRen
- shBrd9
% o
f Max - shRen
- shBrd9
Kit
shBrd9.783
103 1050
20406080
100
103 1050
20406080
100
shBrd9.1061
103 1050
20406080
100
103 1050
20406080
100
shBrd9.1116
103 1050
20406080
100
103 1050
20406080
100
Nature Chemical Biology: doi:10.1038/nchembio.2115
Supplementary Figure 5 | The bromodomain pocket is required for BRD9 function in leukemia
(a) Western blot to test retroviral expression of wt and mutant BRD9 in RN2 cells. The antibody recognizes human BRD9 exclusively. For this reason no Brd9 band is observed in the ‘empty’ lane. An actin blot serves to control for loading.
(b) qRT-PCR analysis to test the effect of wt or mutant BRD9 expression (via retrovirus) on Myc mRNA levels in RN2 cells. mRNA expression was examined 48 hours after retroviral transduction of transgenes (MSCV-based vector). Values were normalized to Gapdh expression within each sample and to empty vector values across samples. n = 3
(c,d) Competition-based assay to measure the effect of wt or mutant BRD9 expression on the growth of RN2 (c) and iMEF cells (d). Transduced cells were identified by co-expression of GFP (MSCV-based vector). The percentage of GFP+ cells was tracked and normalized to GFP percentage on day 2. n = 2
empty BRD9 BRD9 dBD BRD9 N216A
0.0
0.5
1.0
1.5Day 2Day 4Day 6Day 8Day 10Day 12
No
rma
lize
d %
GF
P +
ve
ce
lls
Gapdh
Myc
Myc 3'UTR
0.0
0.5
1.0
1.5
Data 2
PiGBRD9dBDN216A
Re
lativ
e m
RN
A e
xp
ressio
n
1.5
1.0
0.5
0.0Gapdh Myc
empty
Rel
ativ
e m
RN
A ex
pres
sion
Myc3’UTR
wt
ΔBD
N216A
Gapdh Myc
Myc 3'
UTR
0.0
0.5
1.0
1.5
Data 2
PiGBRD9dBDN216A
Rel
ativ
e m
RN
A e
xpre
ssio
n
BRD9
a
c
Rel
ativ
e %
GFP
+
BRD9 dBD BRD9 N216A
Day 2Day 4Day 6Day 8Day 10Day 12
2 d4 d6 d8 d10 d12 d
empty wt ΔBD N216A
BRD9
0.0
0.5
1.0
1.5
empty wt ΔBD N216A
BRD9
empty BRD9 BRD9 dBD BRD9 N216A
0.0
0.5
1.0
1.5Day 2Day 4Day 6Day 8Day 10Day 12
Norm
alize
d %
GFP
+ve
cel
ls
4 d8 d12 d16 d20 d24 d
PiG BRD9 BRD9 dBD BRD9 N216A
0.0
0.5
1.0
1.5
Day 4Day 8Day 12Day 16Day 20Day 24
No
rma
lize
d %
of
GF
P +
ve
ce
lls
Rel
ativ
e %
GFP
+
0.0
0.5
1.0
1.5
dRN2 iMEF
empty
wt ΔBD
N216A
BRD9
kDa
BRD9
actin
70
55
100
40
130
RN2b
actinBRD9
empty
wt ΔBD
N216A
BRD9
marker
empty
wt ΔBD
N216A
BRD9
marker
kDa
7055
100130170
e
Nature Chemical Biology: doi:10.1038/nchembio.2115
(e) Uncropped images of the Western blots shown in (a). All error bars in this figure represent SEM.
Nature Chemical Biology: doi:10.1038/nchembio.2115
Supplementary Figure 6 | CRISPR-Screen of SWI/SNF bromodomains in RN2 cells (a) CRISPR-Cas9 targeting of SWI/SNF bromodomains to assess their relevance for the growth
of RN2 cells in a competition-based assay. Transduced (sgRNA-expressing) cells were identified by the co-expression of GFP. The percentage of GFP+ cells on day 2 was divided by the GFP percentage on ~day 14 to calculate the fold depletion. Higher fold depletion indicates greater anti-proliferative effects of sgRNAs. Each bar represents a different sgRNA. A sgRNA targeting the Rosa26 locus served as a negative control. sgRNAs targeting Brd9 are highlighted in red. Error bars represent SEM. n = 3
a
Brd7_BD
Brd9_BD
Cecr2_BD
Pbrm1_BD1
Pbrm1_BD2
Pbrm1_BD3
Pbrm1_BD4
Pbrm1_BD5
Pbrm1_BD6
0 2 4 6
Rosa26
0 2 4 6
Pbrm1_BD6_e18.6Pbrm1_BD6_e18.7Pbrm1_BD6_e18.8Pbrm1_BD6_e18.9Pbrm1_BD5_e18.1Pbrm1_BD5_e18.2Pbrm1_BD5_e18.3Pbrm1_BD5_e18.4Pbrm1_BD5_e18.5Pbrm1_BD4_e16.1Pbrm1_BD4_e16.2Pbrm1_BD4_e16.3Pbrm1_BD4_e16.4Pbrm1_BD4_e17.1Pbrm1_BD3_e13.1Pbrm1_BD3_e13.2Pbrm1_BD3_e14.1Pbrm1_BD3_e14.2Pbrm1_BD2_e7.1Pbrm1_BD2_e8.1Pbrm1_BD2_e9.1Pbrm1_BD2_e9.2Pbrm1_BD1_e4.1Pbrm1_BD1_e4.2Pbrm1_BD1_e6.1Pbrm1_BD1_e6.2Cecr2_BD_e12.1Cecr2_BD_e12.2Cecr2_BD_e13.1Cecr2_BD_e14.1
Brd9_BD_e5.1Brd9_BD_e5.2Brd9_BD_e5.3Brd9_BD_e6.1Brd9_BD_e6.2Brd7_BD_e5.1Brd7_BD_e5.2Brd7_BD_e5.3Brd7_BD_e6.1
Rosa 26
Fold depletion (% GFP+ d2 / d14)
Nature Chemical Biology: doi:10.1038/nchembio.2115
Supplementary Figure 7 | Additional BRD9 inhibitor binding assays
(a,b) AlphaScreen assays to determine binding affinities of BI-7271 (a) and BI-7189 (b) for the bromodomains of BRD9, BRD7 and BRD4. Curves were fit by four parameter non-linear regression using the least squares fitting method. Representative graph out of 2-6 (BI-7271, a) and 7-9 (BI-7189, b) replicates is shown, respectively.
(c) Control AlphaScreen assay of JQ1 binding to the bromodomains of BRD4. Curves were fit by four parameter non-linear regression using the least squares fitting method. Representative graph out of 3 replicates is shown
(d) Summary of IC50 values derived from the AlphaScreen graphs shown in (a), (b), and Main Fig. 3 (d). IC50 values were obtained from non-linear regression curves with the bottom constrained to 0 and the top constrained to 100.
(e) NanoBRET assay to test binding of BI-7273 to the BRD9 bromodomain expressed in HEK293T cells. As a control the same assay was performed using a compound inactive in BRD9 binding. n = 3
rela
tive lum
inescence
BI-7271 (μM)
a
10010.010.0001
100
50
0
Data 1
-4 -2 0 20
50
100 BRD9BRD7BRD4-BD1BRD4-BD2BRD9BRD7BRD4-BD1BRD4-BD2
Log10[7271], uM
2
BRD9BRD7BRD4-BD1BRD4-BD2
BRD9
BRD7
BRD4-BD1
BRD4-BD2
b
rela
tive lum
inescence
BI-7189 (μM)10010.010.0001
100
50
0
Data 1
-4 -2 0 20
50
100BRD9BRD7BRD4-BD1BRD4-BD2BRD4-BD2
Log10[7189], uM
Data 1
-4 -2 0 20
50
100 BRD9BRD7BRD4-BD1BRD4-BD2
Log10[7271], uM
BRD9
BRD7
BRD4-BD1
BRD4-BD2
e
Compound concentration (μM)1010.10.010.001
NanoB
RE
T r
atio
1.5
2.0
2.5
3.0
-3 -2 -1 0 10.00.51.01.5
2.0
2.5
3.0
Log10[Compound], uM
Nan
oBR
ET ra
tio
0.00.51.0
2.0
2.5
3.0BI-7273Inactive compound
Nan
oBR
ET ra
tio
BI-7273
Inactive compound
log-dose vs response
-4 -2 0 20
50
100
Log10[JQ1]uM
c
rela
tive lum
inescence
JQ1 (μM)10010.010.0001
100
50
0
Data 1
-4 -2 0 20
50
100 BRD9BRD7BRD4-BD1BRD4-BD2
Log10[7271], uM
BRD9
BRD7
BRD4-BD1
BRD4-BD2
BI-727113 nM42 nM
22,240 nM27,330 nM
BI-727321 nM71 nM
>100,000 nM>100,000 nM
BI-718967 nM
644 nM77,990 nM
>100,000 nM
d
H3 K9,14,18,23 Ac
H3 K9,14,18,23 Ac
H4 K5,8,12,16 Ac
H4 K5,8,12,16 Ac
substrateBRD9
BRD7
BRD4-BD1
BRD4-BD2
BD
IC50
Nature Chemical Biology: doi:10.1038/nchembio.2115
Supplementary Figure 8 | Effect of BI-7273 on FLAG-BRD9 and Brg1 chromatin binding
(a,b) ChIP-qPCR analysis of FLAG-BRD9 (a) and Brg1 (b) binding to the Myc locus in RN2 cells in the presence and absence of BI-7273. Each experiment included a parallel precipitation using an IgG antibody as a negative control. neg = a ‘negative’ region not bound by Brd9 in RN2 cells. P values were determined using the paired, two-tailed Student’s T-Test. n = 7 (a), n = 6 (b)
(c) Ranking of FLAG-BRD9 occupied sites based on fold change of tag counts obtained from ChIP-Seq analysis of BI-7273 vs. DMSO treated FLAG-BRD9 expressing RN2 cells.
(d) Ranking of Brg1 occupied sites based on fold change of tag counts obtained from ChIP-Seq analysis of BI-7273 vs. DMSO treated RN2 cells.
b
Brg2 ChIP
left 2
TSS -1.8
kb
ME1M
ME2M
ME3M
ME4M
ME5M
0.00
0.05
0.10
DMSO; IgG
BI2; IgG
DMSO; Brg1
BI2; Brg1
DMSO; IgG
10uM BI-7273; IgG
DMSO; Brg1
10uM BI-7273; Brg1
* < 0.05
** < 0.005
p-valueneg. new
TSS -1.8
kb
ME1M
ME2M
ME3M
ME4M
ME5M
0.00
0.05
0.10**
***
*
5
2.5
0
Brg1 ChIP
neg Myc-1.8 kb
1 2 3 4 5
Myc enhancer elements
-4
-2
0
2
d
2
0
-4
14,636 high confidence Brg1 ChIP peaks
Myc E5 (1577)
Myc E4 (5)
Myc E1 (187)
Myc E3 (193)
Myc E2 (442)
-2
Brg1 ChIP-Seq
-4
-2
0
2
c
2
0
-2
-4
1,403 high confidence FLAG-BRD9 ChIP peaks Log2
(tag
cou
nts
10 μ
M B
I-727
3/ ta
g co
unts
DM
SO)
Log2
(tag
cou
nts
10 μ
M B
I-727
3/ ta
g co
unts
DM
SO)
Myc E1 (79)
Myc E4 (16)
Myc E3 (21)
Myc E5 (534)
FLAG-BRD9 ChIP-Seq
a
FLAG-Brd9 ChIP
ME3M
ME4M
ME5M
DMSO; IgG
BI2; IgG
DMSO; FLAG
BI2; FLAG
DMSO; IgG
10uM BI-7273; IgG
DMSO; FLAG-BRD9
10uM BI-7273; FLAG-BRD9
* < 0.05
** < 0.005
*** < 0.0005
p-value
5
2.5
0
neg Myc-1.8 kb
1 2 3 4 5
neg. new
TSS -1.8
kb
ME1M
ME2M
ME3M
ME4M
ME5M
0.00
0.05
0.10
DMSO; IgG
BI2; IgG
DMSO; FLAG
BI2; FLAG
Myc enhancer elements
*****
****
*
FLAG-BRD9 ChIP
Fra
ctio
n o
f in
pu
t (x
10
-3)
Fra
ctio
n o
f in
pu
t (x
10
-3)
Nature Chemical Biology: doi:10.1038/nchembio.2115
Supplementary Figure 9 | GI50 measurements of BI-7273, LP99, and I-BRD9 in human cell lines
(a) GI50 measurements for BI-7273 across human cancer cell lines. Cells were cultured in the presence of increasing BI-7273 concentrations for 7 days, then cell proliferation was assessed by CellTiter-Glo and normalized to a DMSO control. n = 2
(b,c,d) Cell counts to measure the effect of BRD9 bromodomain inhibitors on the growth of human cancer cell lines. Cells were cultured in the presence of increasing BI-7273 (b), LP99 (c), or I-BRD9 (d) concentrations for 7 days before cell numbers were determined and normalized to DMSO control. Curves were fit by four parameter non-linear regression using the least squares fitting method with the bottom constrained to 0 and the top constrained to 1. n = 3
Extra
.col
umn
EC50
.um
ol.l
Hs 852.TMHH−ES−1G−401A−673OV−90MFE−280RH−41A704QGP−1Capan−1LS411NSK−BR−3MDA−MB−415MCF7HCC1954CAMA−1CAL−85−1SBC−5NCI−H2342NCI−H2196NCI−H2172NCI−H2066NCI−H1793NCI−H1703NCI−H1623NCI−H1563NCI−H1437NCI−H1385EBC−1CAL−12TABC1A549SK−N−DZKM−H2U−2932ToledoTMD8SU−DHL−6SU−DHL−2RI1OCI−Ly3Oci−Ly1 Karpas−422HBL−1FarageBJABK−562MM.1SKMS−11SKM−1OCI−AML3OCI−AML2MV−4−11MOLM−16KG−1Kasumi−1GF−D8GDM−1F−36PEOL−1CMKCESSCESS
CMKEoL-1F-36PGDM-1GF-D8Kasumi-1KG-1MOLM-16MV-4-11OCI-AML2OCI-AML3SKM-1KMS-11MM.1SK-562BJABFarageHBL-1Karpas-422Oci-Ly1 OCI-Ly3RI1SU-DHL-2SU-DHL-6TMD8ToledoU-2932KM-H2SK-N-DZA549ABC1CAL-12TEBC-1NCI-H1385NCI-H1437NCI-H1563NCI-H1623NCI-H1703NCI-H1793NCI-H2066NCI-H2172NCI-H2196NCI-H2342SBC-5CAL-85-1CAMA-1HCC1954MCF7MDA-MB-415SK-BR-3LS411NCapan-1QGP-1A704RH-41MFE-280OV-90A-673G-401MHH-ES-1Hs 852.T
AML
Multiple myelomaCML
DLBCL
Hodgkin’s lymphomaBrain
Lung
Breast
ColonPancreasKidneyLiverUterusOvaryEwing’s sarcomaRhabdoidBone sarcomaMelanoma
CESS
10 30 50Value
Color Key
0 50BI-7273 GI50 (uM)
a
0.1 1 100.01
0.25
0.50
0.75
1.00
0.00
[BI-7273] (uM)
Accu
mul
ated
cel
l num
ber
b
0.1 1 100.01
0.25
0.50
0.75
1.00
0.00
[LP99] (uM)
Accu
mul
ated
cel
l num
ber
c
Jurkat
-2 -1 0 1
0.00
0.25
0.50
0.75
1.00JurkatEOL-1HL60
log10[BI-7273] uM
Jurkat HL60
10.51 μM5.028 μM
GI50
0.1 1 100.01
0.25
0.50
0.75
1.00
0.00
[I-BRD9] (uM)
Accu
mul
ated
cel
l num
ber
d
LP99
-2 -1 0 1
0.00
0.25
0.50
0.75
1.00
JurkatHL60
Log10[LP99] uM
Jurkat
0.75
1.00JurkatEOL-1HL60
Jurkat HL60
3.643 μM0.433 μM
GI50
I-BRD9
-2 -1 0 1
0.00
0.25
0.50
0.75
1.00
JurkatHL60
Log10[I-BRD9] uM
BI2
-2 -1 0 1
0.00
0.25
0.50
0.75
1.00JurkatHL60
Log10[BI-7273], uM
Jurkat
-2 -1 0 1
0.00
0.25
0.50
0.75
1.00JurkatEOL-1HL60
log10[BI-7273] uM
Jurkat HL60
>10 μM2.483 μM
GI50
LP99
BI-7273
I-BRD9
Nature Chemical Biology: doi:10.1038/nchembio.2115
a
BRD9 BD
BRD7 BD
BRD1 BD
BRD4 BD2
CECR2 BD
BRD4 BD1
BRD9 BD
BRD7 BD
BRD1 BD
BRD4 BD2
CECR2 BD
BRD4 BD1
140 160 180
200 220 237
216
Formatted Alignments
hBRD9 isoform 1 Bromodomain
hBRD7 long isoform Bromodomain
hBRD1 Bromodomain
20 40 60
- - - - P I Q Q L L E H F L R Q L Q R K D P H - - G F F A F P V T D A I A - - P G Y S M I I K H P M D F G T M K D K I V A N
- - - - P L Q E A L N Q L M R Q L Q R K D P S - - A F F S F P V T D F I A - - P G Y S M I I K H P M D F S T M K E K I K N N
- - - - P L T V L L R S V L D Q L Q D K D P A - - R I F A Q P V S L K E V - - P D Y L D H I K H P M D F A T M R K R L E A Q
- - - - Q L K C C S G I L K E M F A K K H A A Y A W P F Y K P V D V E A L G L H D Y C D I I K H P M D M S T I K S K L E A R
R Q T N Q L Q Y L L R V V L K T L W K H Q F A - - W P F Q Q P V D A V K L N L P D Y Y K I I K T P M D M G T I K K R L E N N
- - - - D D F T A M Y K V L D V V K A H K D S - - W P F L E P V D E S Y A - - P N Y Y Q I I K A P M D I S S M E K K L N G G
hBRD9 isoform 1 Bromodomain
hBRD7 long isoform Bromodomain
hBRD1 Bromodomain
80 100 120
E Y K S V T E F K A D F K L M C D N A M T Y N R P D - - - T V Y Y K L A K K I L H A G F K M M
D Y Q S I E E L K D N F K L M C T N A M I Y N K P E - - - T I Y Y K A A K K L L H S G M K I L
G Y K N L H E F E E D F D L I I D N C M K Y N A R D - - - T V F Y R A A V R L R D Q G G V V L
E Y R D A Q E F G A D V R L M F S N C Y K Y N P P D H E V V A M A R K L Q D V F E M R F - - -
Y Y W N A Q E C I Q D F N T M F T N C Y I Y N K P G D D I V L M A E A L E K L F L Q K I N E L
L Y C T K E E F V N D M K T M F R N C R K Y N G E S S E Y T K M S D N L E R C F H R A M M K H
66 % 16 %
44 % 15 %
29 % 11 %
Identity Similarity
28 % 11 %
25 % 13 %
b c
f
0.1 1 100.01
0.25
0.50
0.75
1.00
0.00
0.001
BI-7271 (μM)
empty vector 323 nM
BRD9 160 nM
BRD9-BET 4,477 nM
GI50
-3 -2 -1 0 1
0.00
0.25
0.50
0.75
1.00
Accu
mu
late
d c
ell n
um
be
r
g
0.1 1 100.01
0.25
0.50
0.75
1.00
0.00
0.001
BI-7189 (μM)
empty vector 1,709 nM
BRD9 1,029 nM
BRD9-BET >10,000 uM
GI50
-3 -2 -1 0 1
0.00
0.25
0.50
0.75
1.00
Accu
mu
late
d c
ell n
um
be
r
d
5.0
2.5
0.0
Fra
ctio
n o
f in
pu
t (x
10
-4)
neg Myc-1.8 kb
1 2 3 4 5
Myc enhancer elementsneg
TSS -1.8kb
ME1
M
ME2
M
ME3
M
ME4
M
ME5
M
0.000
0.005
0.010
BRD9 IgGBRD9 FLAGB9BD4 IgGB9BD4 FLAG
Fra
ctio
n o
f In
pu
t
IgG
FLAG-BRD9
ME5M
BRD9 IgGBRD9 FLAGB9BD4 IgGB9BD4 FLAG
IgG
FLAG-BRD9-BET
ME3MME4M
ME5M
BRD9 IgGBRD9 FLAGB9BD4 IgGB9BD4 FLAG
Re
lative
% G
FP
+ &
mC
he
rry+
0.0
0.5
1.0
empty
shRen
shBrd
9
PIG
BRD9
B9BRG1BD
0.0
0.5
1.0
Day 2
Day 4
Day 6
Day 8
Day 10
Day 12
% o
f GF
P &
mC
herr
y +
ve c
ellls
BRD9
BRG1 BD
shRen
shBrd
9
wt
shRen
shBrd
9
e
kDa
70
55
40
100
40
em
pty
wt BRD7 B
D
BRD1 B
D
BRD9
BRD4 B
D1
BRG1 B
D1
BRD9
BRD9-BET
kDa
70
55
40
100
35
130
170
25
BRD9
em
pty
wt BRD7 B
D
BRD1 B
D
BRD9
BRD4 B
D1
mark
er
BRG1 B
D
kDa
70
55
40
100
35
130
170
25
actin
em
pty
wt BRD7 B
D
BRD1 B
D
BRD9
BRD4 B
D1
mark
er
BRG1 B
D
Nature Chemical Biology: doi:10.1038/nchembio.2115
Supplementary Figure 10 | Additional experiments using the bromodomain-swap allele (a) Protein sequence alignment of the BRD9, BRD7, BRD1, BRD4 and CECR2
bromodomains. Residues in BRD7, BRD1, BRD4, CECR2 that are identical to the corresponding amino acid in BRD9 are highlighted in green boxes. The numbering on top of the alignment corresponds to the residue number in full-length BRD9. Sequence identity and similarity were calculated using the gonnet similarity matrix in MacVector.
(b) Western blot to test expression of BRD9 wt and bromodomain-swap alleles in RN2 cells. The antibody recognizes human BRD9 exclusively. For this reason no Brd9 band is observed in the ‘empty’ lane. The actin blot serves to control for loading.
(c) Uncropped images of the Western blots shown in (b). (d) ChIP-qPCR analysis of FLAG-BRD9 and FLAG-BRD9-BET binding to the Myc locus in
RN2 cells. Each experiment included a parallel precipitation using an IgG antibody as a negative control. neg = a ‘negative’ region not bound by Brd9 in RN2 cells. n = 3
(e) cDNA complementation assay to test functionality of bromodomain-swap alleles. wt or mutant BRD9 (linked to GFP, MSCV-based vector) was expressed in RN2 cells prior to expression of shRNAs (linked to mCherry, LMN vector). The percentage of double positive cells was tracked and normalized to day 2 values. shRen targets Renilla luciferase and serves as a negative control. n = 3
(f, g) Cell countss to measure effect of BRD9 bromodomain inhibitors on growth of RN2 cells transduced with and selected for empty vector, BRD9 or BRD9-BET (MSCV-based vector). Cells were cultured in the presence of increasing inhibitor concentrations for 5 days before cell numbers were determined and normalized to DMSO control. Curves were fit by four parameter non-linear regression using the least squares fitting method. GI50 values were derived from non-linear regression curves with the bottom constrained to 0 and the top constrained to 1. n = 3
Nature Chemical Biology: doi:10.1038/nchembio.2115
Supplementary Figure 11 | Evaluation of published BRD9 inhibitors in the bromodomain-swap assay (a,b) Cell counts to measure effect of BRD9 bromodomain inhibitors LP99 (a) and I-BRD9 (b) on
growth of RN2 cells transduced with and selected for empty vector, BRD9 or BRD9-BET (MSCV-based vector). Cells were cultured in the presence of increasing inhibitor concentrations for 7 days (LP99, a) or 5 days (I-BRD9, b) before cell numbers were determined and normalized to DMSO control. Curves were fit by four parameter non-linear regression using the least squares fitting method. GI50 values were derived from non-linear regression curves with the bottom constrained to 0 and the top constrained to 1. n = 4 (a), n = 3 (b)
LP99
-2 -1 0 1
0.00
0.25
0.50
0.75
1.00 PiGBRD9BRD9BD4
log10[LP99], uM0.1 1 100.01
0.25
0.50
0.75
1.00
0.00
[LP99] (μM)
Accu
mul
ated
cel
l num
ber
I-BRD9
-2 -1 0 1
0.00
0.25
0.50
0.75
1.00
log10[I-BRD9] uM0.1 1 100.01
0.25
0.50
0.75
1.00
0.00
[I-BRD9] (μM)
Accu
mul
ated
cel
l num
ber
a b
LP99 I-BRD9
6.144 μM6.866 μM
empty vectorBRD9BRD9-BET 9.382 μM
GI500.757 μM1.252 μM
empty vectorBRD9BRD9-BET 2.687 μM
GI50
Nature Chemical Biology: doi:10.1038/nchembio.2115
Supplementary Figure 12 | GSEA plots accompanying Figure 5
(a) GSEA plot of genes expressed in leukemia stem cells (LSC_Signature_Somervaille) based on RNA-Seq data presented in Fig. 5 (a) and (b) (BI-7273 vs DMSO treated RN2 cells).
(b,c,d) GSEA plots of the top 100 genes up- and down-regulated after 2 days of shBrd9 expression in RN2 cells (shBrd9_Top100Up and shBrd9_Top100Down) and genes up-regulated in Burkitt’s Lymphoma cells induced to express MYC (Schuhmacher_MYC_Targets_Up) based on BI-7273 vs DMSO treated HL60 (b), MV4-11 (c) and HeLa (d) RNA-Seq data sets presented in Fig. 5 (e), (f) and (g), respectively.
FWER p-val, familywise-error rate p-value.
b c d
shBrd9_Top100Up
Enric
hmen
tsc
ore
BI-7273DMSO
-0.7
0 NES: -2.60FWER p-val: 0
shBrd9_Top100Up
Enric
hmen
tsc
ore
BI-7273DMSO
-0.8
0 NES: -2.21FWER p-val: 0.001
shBrd9_Top100Up
Enric
hmen
tsc
ore
BI-7273DMSO
-0.4
0 NES: -1.28FWER p-val: 1
shBrd9_Top100Down
BI-7273DMSO
0.6 NES: 2.40FWER p-val: 0
0
shBrd9_Top100Down
BI-7273DMSO
0.6NES: 2.23
FWER p-val: 0.021
0
shBrd9_Top100Down
BI-7273DMSO
0.1 NES: -0.76FWER p-val: 1
0
-0.2Enric
hmen
tsc
ore
Enric
hmen
tsc
ore
Enric
hmen
tsc
ore
Schuhmacher_Myc_Targets_Up
BI-7273DMSO
0.6NES: 2.38
FWER p-val: 0
0
Schuhmacher_Myc_Targets_Up
BI-7273DMSO
0.6 NES: 2.59FWER p-val: 0
0
Schuhmacher_Myc_Targets_Up
BI-7273DMSO
0NES: -2.17
FWER p-val: 0.019
-0.5Enric
hmen
tsc
ore
Enric
hmen
tsc
ore
Enric
hmen
tsc
ore
HL60 - BI-7273 MV4-11 - BI-7273 HeLa - BI-7273
Enric
hmen
tsc
ore
LSC_Signature_(Somervaille)
BI-7273DMSO
0.0
0.6NES: 2.63
FWER p-val: 0
aRN2 - BI-7273
Nature Chemical Biology: doi:10.1038/nchembio.2115
Supplementary Figure 13 | Gene expression changes with LP99 and I-BRD9 in RN2 cells
(a,d) RNA-Seq analysis of gene expression changes in RN2 cells treated with LP99 (a) or I-BRD9 (d) at 1 µM for 24 hours. FPKM values from treated cells were normalized to FPKM values recorded in cells cultured in the presence of DMSO. n = 2
(b,e) Gene set enrichment analysis (GSEA) of the RNA-Seq data presented in (a) and (d), respectively. FWER p-val, familywise-error rate p-value.
(c,f) GSEA plots of the top 100 genes up- and down-regulated after 2 days of shBrd9 expression in RN2 cells (shBrd9_Top100Up and shBrd9_Top100Down) based on the RNA-Seq data presented in (a) and (d), respectively.
Nature Chemical Biology: doi:10.1038/nchembio.2115
Supplementary Figure 14 | Gene expression changes with BI-7273 in iMEF cells
(a) RNA-Seq analysis of gene expression changes in iMEF cells treated with after 24 hours of 1 µM BI-7273 treatment. FPKM values from treated cells were normalized to FPKM values recorded in cells cultured in the presence of DMSO. n = 2
(b) Gene set enrichment analysis (GSEA) on the RNA-Seq data presented in (a). FWER p-val, familywise-error rate p-value.
(c) GSEA plots of the top 100 genes up- and down-regulated after 2 days of shBrd9 expression in RN2 cells (shBrd9_Top100Up and shBrd9_Top100Down).
Nature Chemical Biology: doi:10.1038/nchembio.2115
Supplementary Figure 15 | Alignment of EZH2 and EZH1 SET domains
(a) Protein sequence alignment of the EZH2 and EZH1 SET domains. Residues in EZH1 that are identical to the corresponding amino acid in EZH2 are highlighted in green boxes. The numbering on top of the alignment corresponds to the residue number in EZH2. Sequence identity and similarity were calculated using the gonnet similarity matrix in MacVector. EZH2 sequence corresponds to isoform A (NM_001203249.1/NP_001190178.1).
(b) Uncropped images of the Western blots shown in Main Fig. 6 (b).
a640 660
700 720 738
EZH2 SET
EZH1 SET
EZH2 SET
EZH1 SET 94 % 4 %
Identity Similarity
620 680
Formatted Alignments
EZH2 SET domain.prot
EZH1 SET domain.prot
20 40 60
K H L L L A P S D V A GW G I F I K D P V Q K N E F I S E Y C G E I I S Q D E A D R R G K V Y D K Y M C S F L F N L N N D F V V D A T
K H L L L A P S D V A GW G T F I K E S V Q K N E F I S E Y C G E L I S Q D E A D R R G K V Y D K Y M S S F L F N L N N D F V V D A T
EZH2 SET domain.prot
EZH1 SET domain.prot
80 100 120
R K G N K I R F A N H S V N P N C Y A K V M M V N G D H R I G I F A K R A I Q T G E E L F F D Y R Y S Q A D A
R K G N K I R F A N H S V N P N C Y A K V V M V N G D H R I G I F A K R A I Q A G E E L F F D Y R Y S Q A D A
b
actin
kDa
130
100EZH2 40
55
35
170
70
kDa
em
pty
EZH2
EZH2EZH1-SET
mark
er
em
pty
EZH2
EZH2EZH1-SET
mark
er
Nature Chemical Biology: doi:10.1038/nchembio.2115
Supplementary Note 1 | Diagram summarizing the small molecule screening efforts. Supplementary Note 2 | Synthetic route of small-molecules BRD9 inhibitors. Supplementary Data Set 1 | Custom gene sets used in GSEA.
Nature Chemical Biology: doi:10.1038/nchembio.2115