Conceived and designed the experiments: SVdR JR CS. Performed the experiments: SVdR JR. Analyzed the data: SVdR JR HS. Contributed reagents/materials/analysis tools: MW DS. Wrote the paper: SVdR JR CS.
Post-translational modifications (PTMs) impact on the stability, cellular location, and function of a protein thereby achieving a greater functional diversity of the proteome. To fully appreciate how PTMs modulate signaling networks, proteome-wide studies are necessary. However, the evaluation of PTMs on a proteome-wide scale has proven to be technically difficult. To facilitate these analyses we have developed a protein microarray-based assay that is capable of profiling PTM activities in complex biological mixtures such as whole-cell extracts and pathological specimens.
In our assay, protein microarrays serve as a substrate platform for
This methodology offers several advantages over currently used PTM detection methods including ease of use, rapidity, scale, and sample source diversity. Furthermore, by allowing for the intrinsic enzymatic activities of cell populations or pathological states to be directly compared, this methodology could have widespread applications for the study of PTMs in human diseases and has the potential to be directly applied to most, if not all, basic PTM research.
Post-translational modifications (PTMs) are essential for the proper function of many proteins and dysregulation of these processes is known to play a causative role in several human diseases (reviewed in
To overcome these technical limitations, we explored the possibility of using protein microarrays as a platform for profiling PTM activities. To date, the analysis of PTMs using protein microarrays has been somewhat limited to the phospho-proteome, profiling substrates of purified yeast enzymes, and characterizing substrates of the anaphase-promoting complex (APC) ubiquitin ligase
A schematic of our methodology is shown in
(A) Schematic of protein microarray-based profiling of PTM activities. Protein microarrays which display >8,000 recombinant human proteins spotted onto nitrocellulose-coated glass slides (in duplicate) provide a platform for assaying PTM activity. Reactions are performed ‘on-chip’ using purified enzymes or extracts prepared from cells or a pathological specimen, ATP regenerating system, modifier, and labeled-modifier (
We first tried various configurations of ubiquitylation reactions using cellular fractions (S-100) and rabbit reticulocyte lysate to determine the optimal assay conditions. We evaluated different slide surface chemistries, reaction buffers, assay conditions, and detection methods. PATH slides (glass slides coated with nitrocellulose) proved to be superior to epoxy or hydragel-coated slides in reducing background (data not shown). The addition of 0.1% Tween-20 to both the reaction and wash buffers also significantly limited background and did not adversely affect PTM conjugation activity. Furthermore, the addition of inhibitors of de-conjugating enzymes (
As proof of principle, we first sought to determine whether our assay system could be used to faithfully identify substrates of a purified E3 ubiquitin ligase. For these experiments, we utilized the ubiquitin ligase SCFSkp2 which has a well-defined role in human tumorigenesis
We next sought to determine whether this methodology could be used to accurately profile the PTM activity of complex biological mixtures, such as cellular extracts or pathological specimens. Using a 2-fold change as a cutoff over negative controls that lacked cellular extract, ubiquitylation reactions performed with rabbit reticulocyte lysate and S-100 fraction of HeLa cells revealed robust conjugation activities with 239 and 119 substrates identified, respectively (
| BC066929 |
CCDC55 |
FGFR3 |
LOC370014 |
OR1Q1 |
RPL41 |
TSPAN17 |
| XM_375359 |
CCDC97 |
FGFR4 |
LOC440295 |
PAK1 |
RPS6KA1 |
TSPO |
| ABI1 |
CDC2 |
FGR |
LOC51491 |
PAK3 |
RPS6KA4 |
TTK |
| ABL1 |
CDIPT |
FLT1 |
LOC51765 |
PBK |
RPS6KA5 |
TYRO3 |
| ACBD6 |
CDK2/cyclinA |
FLT3 |
LOC55319 |
PDAP1 |
RPS6KB1 |
UBADC1 |
| ACVR1B |
CDK9/cyclinT1 |
FLT4 |
LOC645591 |
PDCL |
SCGB1C1 |
UBE2C |
| AHCYL1 |
CETN3 |
FRK |
LOC83786 |
PDGFRalpha |
SCYE1 |
UBE2E2 |
| ADRBK2 |
CHEK1 |
G3BP1 |
LOC84714 |
PELI1 |
SDCCAG3 |
UBE2H |
| AFF4 |
CHERP |
GABRA3 |
LYN |
PFDN5 |
SEPT1 |
UBE2O |
| AIM2 |
CHKA |
GADD45G |
MAGEB1 |
PIM1 |
SEPT5 |
UBE2S |
| AKT1 |
CHUK |
GBA |
MAP2 |
PIM2 |
SERPINA3 |
UBE3A |
| ANKHD1 |
CLK3 |
GMNN |
MAP2K2 |
PKN2 |
SGK |
UBQLN2 |
| ANKRD13A |
CNOT7 |
GNGT1 |
MAP2K3 |
PLK1 |
SGK3 |
UBXD1 |
| ANKRD13D |
COPE |
GRK4 |
MAP2K6 |
PLK3 |
SGPL1 |
UBXD8 |
| ANKS4B |
COPZ1 |
GRK6 |
MAP3K2 |
POMZP3 |
SH3BP5 |
VRK3 |
| APOBEC4 |
CSAG1 |
GSDMDC1 |
MAP3K9 |
PRKCalpha |
SIP1 |
WDFY1 |
| ARL6IP4 |
CSF1R |
GSK3B |
MAP4K5 |
PRKCgamma |
SLAIN2 |
WDR1 |
| ASCC2 |
CSNK1D |
GYG2 |
MAPK11 |
PRKCH |
SLC6A13 |
WEE1 |
| ASMTL |
CSNK1E |
HCK |
MAPKAPK3 |
PRKCI |
SMCR7 |
WIBG |
| ATF6 |
CSNK1G1 |
HGS |
MAPKAPK5 |
PRKG2 |
SPATS2 |
YES1 |
| ATP6V1G1 |
CSNK1G3 |
HOMER2 |
MARK2 |
PRKX |
SPDEF |
YY1 |
| ATXN3 |
CSNK2A1 |
HPCAL1 |
MATK |
PRRG1 |
SRMS |
ZAP70 |
| AURKB |
CSNK2A2 |
HPGD |
MERTK |
PSMD4 |
SRPK1 |
ZMYM5 |
| BIN1 |
CUEDC1 |
IFI44L |
MET |
PSRC1 |
SRPK2 |
ZNF313 |
| BIRC7 |
CXorf48 |
IGF1R |
MINK1 |
PTK2 |
SRPK3 |
ZNF364 |
| BLK |
DAPK1 |
IKBKB |
MPG |
PTPN5 |
STIP1 |
ZNF434 |
| BMX |
DAPK2 |
ING5 |
MSRB3 |
RAB20 |
STK17A |
|
| BRAF |
DHX32 |
INSR |
MST1R |
RABEP2 |
STK22D |
|
| BTK |
DNAJB2 |
INSRR |
MYL5 |
RAD23A |
STK25 |
|
| C10orf97 |
DNAJC8 |
IRAK4 |
MYLK2 |
RAF1 |
STK3 |
|
| C11orf52 |
DYRK3 |
IRF3 |
NAP1L2 |
RASGRP3 |
STK4 |
|
| C11orf53 |
EIF5 |
IRS1 |
NBPF1 |
RASL11B |
STRAP |
|
| C1orf165 |
EPHA1 |
ITK |
NDUFB6 |
RBCK1 |
SULF1 |
|
| C1orf91 |
EPHA2 |
JAK2 |
NECAP1 |
RBM34 |
TAOK2 |
|
| C20orf11 |
EPHA5 |
JAK3 |
NECAP2 |
RET |
TAOK3 |
|
| C2orf13 |
EPHA8 |
KDR |
NEK1 |
RHBDD1 |
TARBP2 |
|
| C9orf78 |
EPHB3 |
KIAA1900 |
NEK2 |
RIOK3 |
TBK1 |
|
| CACNB1 |
EPHB4 |
KIF2C |
NEK4 |
RNF34 |
TCP11 |
|
| CALCOCO1 |
ERBB2 |
KIF3B |
NEK6 |
RNF111 |
TCP11L1 |
|
| CAMK1 |
ERBB4 |
KIT |
NEK9 |
RNF126 |
TEC |
|
| CAMK1D |
FAM126B |
LCK |
NFKBIB |
RNF128 |
TEK |
|
| CAMK2N1 |
FAM112B |
LMNA |
NGLY1 |
RNF130 |
TMEM139 |
|
| CAMK2N2 |
FAM50A |
LOC10572 |
NMT1 |
RNF185 |
TNIK |
|
| CAMKIIalpha |
FES |
LOC112860 |
NR4A1 |
RNF4 |
TNIP2 |
|
| CAMKIIdelta |
FER |
LOC115460 |
NTRK1 |
ROR1 |
TOM1 |
|
| CASQ2 |
FGF21 |
LOC120376 |
NTRK2 |
ROR2 |
TOM1L2 |
|
| CAT |
FGFR1 |
LOC121457 |
NTRK3 |
ROS1 |
TRIM44 |
|
| CCDC12 |
FGFR2 |
LOC284440 |
NUAK1 |
RPAIN |
TRIM52 |
Rabbit reticulocyte lysates,
Mouse embryonic fibroblasts,
Human foreskin fibroblasts,
HeLa cell S-100 fractions,
Breast tumor specimens.
| UBIQUITYLATION | NEDDYLATION | SUMOYLATION | ||||
| UPS-associated | Ubiquitin Substrates | NEDD8 Substrates | SUMO1 Substrates | |||
| ACVR1B |
MST1R |
ADRBK2 | MYLK2 | ANKHD1 | LSM3 |
|
| ATXN3 F | PDGFRalpha |
ANKRD13D F | NEK1 | ANKRD13D | MAP3K10 |
|
| BTK |
PLK1 |
CSNK1D | NEK9 | ANKRD17 | MAP3K11 | CDK5 |
| CAT |
PLK3 |
CSNK1G1 |
|
ANKRD39 | MAP3K9 |
|
| CUEDC1 F | PRKCalpha |
CSNK2A2 |
|
ANKS4B | MATK |
|
| FLT1 |
PRKCgamma |
DYRK3 | PRKX | BTK | MCC |
|
| FLT3 |
PSMD4 F | EPHA1 |
|
CCDC69 | MINK1 | FGFR3 |
| GSK3beta |
RAD23A F | EPHA5 |
|
CENPB | MST1R |
|
| INSR |
RET |
|
|
CETN3 | NAP1L1 |
|
| ITK |
|
FRK | STK3 | CHEK1 | NFKBIB |
|
| JAK2 |
|
GRK4 | STK4 | CSNK2A1 | OTUD6B | HK1 |
| JAK3 |
TTK |
GRK6 | STK17A | CUEDC1 | PAIP2 |
|
|
|
UBADC1 F | INSRR |
|
CXorf48 | PAK1 | JAK3 |
| MAP3K2 |
UBE2O | KIAA1900 |
|
DIXDC1 | PAK3 |
|
| MAP4K5 |
|
MAP2K3 | TEK | EIF2B2 | PBK | LENG4 |
|
|
|
EPHA1 | PDCL |
|
||
| MERTK |
|
EPHB4 | PEX19 |
|
||
| MYL5 | TYRO3 | FAIM | PIM1 |
|
||
| FGR | PRKCalpha |
|
||||
| GCC1 | PRKCepsilon |
|
||||
| GOPC | PSCD1 |
|
||||
| GSDMDC1 | RAD23A | RNF4 | ||||
| LCK | RGS20 |
|
||||
| LGALS3 | RPS6KB1 | STK3 | ||||
| LMNA | TOM1L2 |
|
||||
| LOC126382 | TRIM44 | ZMYM5 | ||||
| LOC57596 | UBOX5 | |||||
Substrates shown for ubiquitin are common to both rabbit reticulocyte lysate and HeLa S-100 fractions.
*known substrate of ubiquitylation;
F Superscript, substrates also common to human fibroblasts;
A clinically relevant application of this methodology is comparative profiling, wherein disease-associated changes in PTM activity are compared to the normal state. To this end, we applied this methodology to identify changes in ubiquitylation activity that occurs during the progression of human tumors to more advanced and life-threatening disease. Remarkably, we found that human breast tumor specimens that had been kept frozen at −80°C for >10 years contained robust ubiquitin conjugation activity (
Column 4 lists the protein names sorted according to a directional measure of fold-change in ubiquitylation status. Specifically, if the median measurement for low grade tumors exceeded the median value for high grade tumors we assigned a negative ratio of low/high. Otherwise, a positive ratio was assigned. The directional change is reflected in the heat map (Column 1), which shows the color distribution across a red (smallest-negative) to green (highest-positive)
color spectrum. In the middle columns, the change of white to red signifies that high fluorescence values in reactions containing low grade tumor extract correspond to low fluorescence values in reactions containing high grade tumor lysate, that is, the protein is more ubiquitylated in low grade tumors compared to high grade tumors.
We next determined whether this methodology could be easily adapted to other complex PTMs, such as SUMO1 (small ubiquitin-like modifier 1) and NEDD8 (neural precursor cell expressed and developmentally down-regulated 8). SUMO1 and NEDD8 are conjugated to substrates in multi-step enzymatic reactions similar to but distinct from ubiquitylation
To determine the accuracy of our assay system in detecting true PTM conjugation activities, we first randomly selected c-Src, a SCFSkp2 substrate identified using our assay but not reported in the literature, and determined if it was indeed a substrate of SCFSkp2
(A)
To further validate the accuracy of our methodology, we randomly selected 10 substrates which were shown to be ubiquitylated on the protein microarrays (by both rabbit reticulocyte lysate and HeLa S-100 fraction) but whose modification was not reported in the literature and attempted to verify whether they were substrates of ubiquitylation
(A) Ten putative substrates of ubiquitylation identified on the protein microarrays but not reported in the literature were selected for validation of the modification
We next tested the accuracy of our assay in profiling SUMO1 and NEDD8 conjugation activities using similar experimental strategies. Immunoprecipitation of endogenous insulin-like growth factor 1 receptor (IGF-1R), a receptor tyrosine kinase that mediates IGF1 signaling
(A) SUMOylation of IGF-1R. Endogenous IGF-1R was immunoprecipitated from denatured extracts prepared from HEK293T cells and conjugation to SUMO1 determined by Western blot analysis with anti-SUMO1 antibodies. Immunoprecipitation efficiency was determined by Western blotting with anti-IGF-1R antibodies (right). (B) NEDDylation of Musk and Pak3. HEK293T cells were transfected with plasmids that express Flag-Musk or Flag-Pak3 with or without Myc-NEDD8. Denatured extracts were then immunoprecipitated with anti-Myc or IgG antibodies (control) and conjugation to NEDD8 determined by Western blotting using anti-Flag antibodies.
The results of our analyses demonstrate that our protein microarray-based methodology can reliably and accurately profile PTM conjugation activities in simple (
Current techniques used to identify substrates of PTMs on a proteome-wide scale include two-hybrid and high-copy suppressor screens in yeast and mass spectrometry
Our methodology overcomes many of these limitations and provides several advantages over these currently employed techniques. Since our assay relies on the intrinsic PTM conjugation activity of a specimen it is less sensitive to substrate concentrations and sub-stoichiometric modifications can be easily detected. The reactions can also be performed with crude extracts eliminating elaborate purification protocols that could promote de-conjugation of the PTMs. Furthermore, we have successfully multiplexed our assay system to simultaneously profile the conjugation activities of several different PTMs simultaneously on a single protein microarray using differentially labeled fluorescent antibodies for PTM detection (data not shown).
However, there are some potential limitations with our assay system. First, the protein microarrays used in this study display ∼8,000 human proteins, representing only ∼1/3 of the proteome. Secondly, since the protein microarrays are produced with recombinant human proteins expressed in Sf9 insect cells a proportion of these substrates could be misfolded, possibly precluding their modification or promoting their artificial modification. Thirdly, our methodology may underestimate the number of proteins post-translationally modified if the substrates are printed on the microarrays in a manner that masks a specific sequence that must be recognized by the PTM conjugating enzyme, such as the ubiquitin ligase APC/CCDC20 which uses a destruction box motif (termed D box) for recognition
Considering that dysfunction of PTMs play a critical role in a number of pathological states in humans, this methodology is an important step forward in the field of proteomics because it will allow for alterations of PTM activities associated with human diseases to be identified. For example, SUMOylation is known to play an important role in maintaining genomic integrity and preventing tumorigenesis. The SUMOylation machinery is recruited to sites of DNA damage, and both the tumor suppressor BRCA1 and the DNA repair factor 53BP1 are substrates of SUMOylation
In combination with genetic mutants, small molecule perturbants, or RNAi technology, our methodology could help to define both specific and global aspects of PTMs. Modified cell lines, disease model systems, and specialized tissues all lend themselves well to PTM profiling using this approach with the ultimate goal of furthering our understanding of disease states and identifying novel therapeutic targets for their treatment.
Several versions of the ProtoArray Human Protein Microarray (Invitrogen) were utilized in this study. Profiling experiments performed with purified ligases, whole-cell extracts, and tumor extracts utilized version 4 arrays. These protein microarrays display >8000 purified human proteins (in duplicate) on a nitrocellulose-coated glass slide. Each of the >8000 human proteins are derived from human open reading frames (ORF) that were expressed in Sf9 insect cells as an N-terminal GST fusion protein.
Cell lines (HeLa, mouse and human fibroblasts) and tumor (fresh-frozen human breast cancer tissue) specimens were suspended in lysis buffer (20 mM Hepes (pH 7.4), 2.5 mM MgCl2, 0.5 mM DTT, 5 mM NaF, 1 mM sodium orthovanadate, 1 mM PMSF, 2 µg/ml aprotinin, 1 µg/ml pepstatin, and 1 µg/ml leupeptin) on ice for 15 min and then sonicated briefly. The extracts were clarified by centrifugation for 15 min at 14,000×
Human SCFSkp2 complexes were produced in Sf9 insect cells as described previously
Antibodies used in this study included: anti-ubiquitin (Biomol, PW8805); anti-SUMO1 (Zymed, 33-2400); anti-NEDD8 (Zymed, 34-1400); anti-p27Kip1 (BD pharmingen); anti-c-Src (Biosource); anti-Skp2 (Zymed), anti-YY1 (Santa Cruz Biotechnology); anti-IGF-1R (Zymed); anti-HA (Covance); anti-Flag (Sigma); anti-GST (Santa Cruz Biotechnology); and anti-Myc (9E10, Santa Cruz Biotechnology).
Extracts (2-100 µg in 40 µl of lysis buffer) were combined with either 4 µM of ubiquitin aldehyde (Boston Biochem) to prevent the action of deubiquitylating enzymes in the ubiquitylation reactions, SUMO1 aldehyde to inhibit SUMO-specific isopeptidases (SENPs) (Boston Biochem) in SUMOylation reactions, or NEDD8 aldehyde to inhibit deNEDDylating and NEDD8 processing enzymes in NEDDylation reactions (Boston Biochem), and then incubated at 25°C for 15 min. The reactions were then supplemented with modifier (1.25 µg/ml), biotin-labeled modifier (50 ng/ml), Tween-20 (0.1%), energy regenerating system (Boston Biochem), and 1× reaction buffer (ubiquitylation, SUMOylation, NEDDylation; Boston Biochem) in a final volume of 100 µl. Proteasome inhibitor MG132 (5 µM) was added to ubiquitylation reactions. For SCFSkp2 experiments, reaction conditions were as described
Proteins whose ubiquitylation status changed with breast tumor progression. Median values for duplicate proteins spotted on the array were calculated for on-chip ubiquitylation reactions differing only by the addition of low or high grade tumor extract. The proteins are sorted according to a directional measure of fold-change in ubiquitylation status.
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Click here for additional data file.
Expression level of putative substrates of ubiquitylation that were cloned into Myc- or GST-expression vectors and used in validation experiments. Ten putative substrates of ubiquitylation identified on the protein microarrays but not reported in the literature were selected for validation of the modification in vivo. These ten substrates were cloned into Myc- or GST- expression vectors and were co-expressed with HA-ubiquitin in HEK293T cells. Subsequently, HEK293T cell extracts were prepared using denaturing conditions. Empty vector co-expressed with HA-tagged ubiquitin served as control. Immunoblot, using anti-Myc or anti-GST antibodies, was used to determine the expression level of each substrate which is indicated in each lane as: 1- ADRBK2, 2- ACVR1B, 3- PIM2, 4- PRKCgamma, 5- KIF2C, 6- RPS6KA5, 7- ITK, 8- EPHA1, 9- TRIM52, and 10- EPHA5.
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We wish to thank Steve Reed (TSRI) for recombinant Cks1 protein. We also thank Michael Witcher (Salk Institute) and Stefan Grotegut (SBMRI) for critical reading of this manuscript. We thank Gaelle Rondeau (Vaccine Research Institute of San Diego) for technical help with the ScanArray Express Microarray Analysis Software.