The expression, replication and repair of DNA are pivotal to the physiological
functioning of all cells. Understanding of the molecular mechanisms, control and
integration of these processes is far from complete and this area is the subject of
a great deal of research. This is justified, not only by the obvious importance of
these processes in cellular physiology, but also by the many examples of
abnormalities in these processes contributing to oncogenesis (reviewed by Hanahan
and Weinberg [1]). The existence of important
connections between DNA damage sensing mechanisms (DNA damage response (DDR)) and
control of gene expression and their effect on processes such as cell proliferation
and differentiation have been suspected for several decades [2]. There is now direct molecular evidence for some of these
mechanisms. These range from DNA strand break mediated activation of p53 inhibiting
haematopoietic progenitor cell differentiation [3,4], and the induction of
differentiation by specific DDR genes such as GADD45A in
haematopoietic stem cells [5], to the
involvement of CDK12 in the regulation of DDR and embryonic development [6] as well as damage-induced modulation of
miRNAs that affect cell cycle progression, apoptosis and differentiation [7-9] .Ongoing progress in our understanding of gene expression, DNA replication and repair
most often relies on detailed investigation of previously identified molecules and,
as a consequence, generally progresses incrementally. By contrast, forward genetics
strategies allow unbiased approaches that can identify key molecules involved in
rate-limiting steps independently through the subversion of individual gene function
[10]. Successful forward genetics
strategies include cDNA functional expression cloning [11-16] and
retroviral insertional mutagenesis (RIM) [16-20]. Indeed, current
RIM studies have focused attention on the role of E3 ubiquitin ligase RNF168 in the
control of cell fate.Post-translational modification of proteins is extensively involved in controlling
cell behaviour. Addition of ubiquitin to target proteins, either as a monomer or in
the form of ubiquitin chains, is now recognized to have many important regulatory
roles in addition to the targeting of proteins for degradation by the proteasome
[21,22]. In particular, ubiquitination of nuclear proteins plays a central
role both in DNA repair [22-24] and in epigenetic control of gene
expression [25-27], including the expression of tumour suppressor genes [27].Extensive studies have implicated RNF168 in the repair of double-strand DNA breaks
[23,28-32]. The repair of
double-strand DNA breaks is a complex process in which RNF168 and RNF8 catalyse the
ubiquitination of histone H2A subtypes that leads to recruitment of protein
components of the DNA repair machinery, including 53BP1 and BRCA1 [28-32]. Mutation in RNF168 produces RIDDLE syndrome in humans [33], although some of the features of the
phenotype, such as craniofacial abnormalities and short stature, have hitherto been
difficult to ascribe to aberrant DNA repair alone.Although RNF168 is amplified in some cancers [32,34], the observations
reported below are the first to demonstrate the involvement of this gene in the
control of cell survival and proliferation. Most recently, RNF168 has been shown to
regulate PML nuclear bodies (PML NBs) [35],
suggesting a potential mechanism for the regulation of proliferation and apoptosis
by RNF168 described below.
Materials and methods
Materials
Recombinant mouse interleukin-3 (mIL-3) was obtained from R&D Systems
(Abingdon, U.K.) and recombinant human interleukin-3 (hIL-3), reagents for
real-time quantitative RT-PCR (RT-qPCR), Lipofectamine 2000 and the pcDNA3.1 and
TopoPCR2.1 vectors were from Life Technologies Ltd (Paisley, U.K.). Cell culture
reagents were from the latter source or from Sigma–Aldrich (Poole, U.K.).
The plasmid pCMVSPORT6-RNF168 (MGC: 45398; IMAGE 5163887), which contains the
complete coding sequence of human RNF168, was from Source BioScience
(Nottingham, U.K.) and nucleofector solution T was from Lonza Bioscience
(Verviers, Belgium). QuikChange® XL Site-directed Mutagenesis Kit was
from Agilent Technologies (Stockport, U.K.) and polybrene was from
Sigma–Aldrich (Poole, U.K.). siRNAs #1–#4 to human RNF168 (product
codes: #1, Hs_FLJ35794_1; #2, Hs_RNF168_2; #3,
Hs_FLJ35794_3; #4, Hs_RNF168_1) were from Qiagen Ltd
(Crawley, U.K.); negative control (NC) siRNA (product 102728) and HiPerFect
reagent were also from the latter source. The MTS assay kit (CellTiter 96
AQueous One Solution Cell Proliferation Assay) was from Promega (Southampton,
U.K.) and the Muse Cell Cycle Assay Kit was from Millipore (U.K.) Ltd (Watford,
U.K.). Protein Assay Kit II and precast gels were from Bio–Rad
Laboratories (Hemel Hempstead, U.K.). The RNF168 and β-actin antibodies
for immunoblotting were from Abcam (Cambridge, U.K.), whereas the anti-myc and
FITC-labelled anti-mouse IgG antibodies for immunofluorescence were from Santa
Cruz Biotechnology (Heidelberg, Germany) and Sigma–Aldrich (Poole, U.K.)
respectively. Hybond-P PVDF membranes were from Amersham Biosciences (Little
Chalfont, U.K.).
Cell culture
The mouse haematopoietic granulocyte/macrophage progenitor cell line FDCP1 [36-38] was maintained in RPMI-1640 medium supplemented with 10%
FBS, 2 mM L-glutamine, 100 U/ml penicillin, 100 μg/ml
streptomycin and 1 ng/ml recombinant mIL-3. Cells were deprived of mIL-3 by
centrifugation and resuspension in mIL-3-free medium for two cycles of washing
and cloning in soft agar without mIL-3. 293T cells were maintained in DMEM
medium containing 10% FBS, 100 U/ml penicillin and 100 μg/ml
streptomycin. TF-1 cells were routinely maintained in R-10 medium (comprises
RPMI-1640 containing 2 mM L-glutamine, 1 mM sodium pyruvate, 10 mM
HEPES, 10% FBS and 50 µg/ml gentamicin) supplemented with
recombinant hIL-3 (5 ng/ml) and MCF7 [39]
cells were maintained in R-10 medium; all cells were cultured at 37°C in
a humidified incubator with 5% CO2.
Generation of IL-3-independent FDCP-1B cell clones by RIM
In the present study, the PAPM3P packaging cell line which produces M3Pneo-sup
virus was used for infection of FDCP1B cells. For RIM, a total of 1 ×
108 cells were co-cultured with the irradiated PAP3MP packaging
cells for 2 days in the presence of mIL-3. Then the cells were harvested and
incubated overnight in fresh medium also in the presence of interleukin-3
(IL-3). Next, while 1 × 108 cells were seeded in soft agar in
the absence of mIL-3, 1× cells were taken through to the next round of
co-culture with the PAP3MP packaging cell line. These cycles of co-culture were
repeated for a total number of 15 times. After each cycle, 1 ×
108 cells were cloned in soft agar in the absence of mIL-3. A
total of 95 IL-3 independent FDCP1B clones were isolated at the end of 15 rounds
of co-culture. The IL-3 independent FDCP1B clones were initially expanded in 1
ml culture in the absence of mIL-3 and G418. Following their successful
expansion, G418 selection was performed on all clones, each of which was found
to be G418 resistant. In the present study, we have analysed one of these
clones, referred to as PAP60 [40].
Inverse PCR
The inverse PCR (I-PCR) method was performed as described previously [41]. Briefly, genomic DNA of PAP60 cells
was digested with the Sau3A restriction enzyme, followed by ligation and
subsequent XbaI digestion. The sequence flanking the 3′-LTR of the
integrated provirus in PAP60 was obtained using the outward directed primers
MPSVA1 (AAACTGCTGAGGGCGGGACC) and MPSVA2 (AGTTCGCTTCTCGCTTCTGT). The PCR
fragments produced by I-PCR were cloned into the TopoPCR2.1 vector and the
genomic DNA at the 3′ end of the integrated provirus flanking sequence
was sequenced, i.e. 5′-GTAATTTCTTCTTTTAGCACTAAGAACTTTAGAAAGCTTTG
TTAGGAGAAGGGTAGCCTAAAGAATACTGAAAGAATAATTACAAAAATTCCTGTTCGGATC-3′ and
identified by a BLAST search of the human genome.
Plasmids and transfection
Transduction into FDCP1B
All pLKO.1-shRNA plasmids were designed by The RNAi Consortium with the
following clone reference numbers: control shRNA targeting GFP (shRNA-eGFP
(SHC005)) and shRNA targeting mouse RNF168; shRNF168A (TRCN0000040876),
shRNF168B (TRCN0000040873) (Open BioSystems).The coding sequence for full-length human RNF168 (IMAGE: BC046815) was
subcloned into pcDNA3.1 plasmid in frame with a C-terminal Myc and His
fusion domain; RNF168WT. The point mutations in the RING (RNF168H33A) and
MIU domains (RNF168A179G/A450G) were introduced by site-directed mutagenesis
using the QuikChange® XL Site-directed Mutagenesis Kit. All
constructs were sequence verified.
Transfection into TF-1 cells
TF-1 cells (2 × 106) in 0.1 ml nucleofector solution T,
were nucleofected with 2 µg plasmid constructs comprising
pCMVSPORT6-RNF168 or empty pCMVSPORT6 vector (for controls) using program
G-016, and cells were immediately plated in 3 ml I-20 medium (comprises
Iscove’s modified Dulbecco’s medium containing 2 mM
L-glutamine, 20% FBS and 50 μg/ml gentamicin)
supplemented with hIL-3 (5 ng/ml) and allowed to recover for 20 h. Cells
were then washed twice with R-10 medium, and resuspended (3 ×
105 cells/ml) in R-10 medium ± hIL-3 (5 ng/ml) and
cultured for a further 22 h before counting.
RNAi
shRNA (LVshRNA)
Lentiviral vector was produced by transient co-transfection of 293T cells
with lentiviral packaging plasmids; pCMVΔ8.91 and pMDG2 with the
target lentiviral constructs; pLKO.1-shRNAs, using a calcium phosphate
co-precipitation method. Supernatant, containing the vector, was harvested
at 48 h (harvest I) and 72 h (harvest II). The vector
supernatant was first clarified through a 0.45- μm filter and
concentrated by centrifugation at 10000
(Beckman J2-MC) overnight at 4°C, resuspended in 500 μl
RPMI-1640 medium and stored at –80°C. Cells were infected with
lentivirus vectors in the presence of 4 μg/ml polybrene. A
multiplicity of infection (MOI) of 3 was used for infection.
siRNA
To determine the effect of RNF168 knockdown on culture growth, four siRNAs
which target different portions of RNF168 sequence were individually
studied, along with NC siRNA for controls. For TF1 cells, complexes were
prepared by mixing 9 μl HiPerFect reagent with 209 µl siRNA
(430 nM in Opti-MEM-I). After 15 min, these were added dropwise to cells (4
× 105 cells in 0.2 ml R-10 medium with 5 ng/ml IL-3;
12-well plates). After a further 3 h, R-10 medium with 5 ng/ml IL-3 (0.8 ml)
was added, and cells were cultured for a further 70 h to allow silencing to
occur. Cells were then reseeded (3 × 105 cells/ml in R-10
medium with 5 ng/ml hIL-3) and cultured for a further 72 h to assay the
growth parameters. For MCF7 cells, a fast-forward transfection protocol was
employed: complexes were prepared by mixing 12 μl HiPerFect reagent
with 100 μl siRNA (120 nM in Opti-MEM-I). After 15 min, these were
added dropwise to freshly trypsinized, exponentially growing cells (1.5
× 105 cells in 2.3 ml R-10 medium; six-well plates) and
these were cultured for 70 h. Cells were then replated in either fresh R-10
medium for MTS assay (0.5 × 104 cells/96-well plate),
direct cell counting and/or cell cycle analysis (both at 0.8 ×
105 cells/12-well plate) at the indicated times, or in R-10
medium supplemented with 10% cell-conditioned medium (400
cells/six-well plate) for clonogenic assays.
RT-qPCR
Total RNA was isolated using the TRIzol® reagent and 1 μg of
purified total RNA from each sample was reverse transcribed to cDNA with
oligo-dT primers by using a SuperScript II™ Kit according to the
manufacturer’s protocol. Quantitative PCRs were performed with
Platinum® SYBR® Green qPCR SuperMix-UDG Kit (Thermo Fisher
Scientific) using an Applied Biosystems 7900 HT thermal cycler. The following
primers were used: mouse RNF168 (5′-AGGCAGGTCTGAGGAGAAAGTGTT-3′,
5′-AGGCAGGTCTGAGGAGAAAGTGTT-3′), mouse Smco1
(5′-ACCATGGAACTGAATATTGTATACAGCTAT-3′,
5′-AACTGCTGGGTCAAAGGTAAC-3′) and β-actin
(5′-TGAACCCTAAGGCCAACCGTGAAA-3′,
5′-AGTCCATCACAATGCCTGTGGTACG-3′). Cycling conditions were 5 min at
95°C followed by 40 cycles of 15 s at 95°C, 30 s at 55°C
and 30 s at 72°C. The ΔCT method was
applied to estimate relative transcript levels. Levels of β-actin
amplification were used as an endogenous reference to normalize each sample.
Growth analyses
Direct cell counting was performed after Nigrosin Blue (0.1% (w/v))
staining using a haemocytometer and light microscopy; cells which excluded the
dye were considered to be viable. MTS assays were performed according to the
manufacturer’s instructions. For clonogenic assays, the colonies formed
following 3 weeks of culture were counted after staining with Crystal Violet
(0.5% (w/v) in methanol). Cell cycle analysis was performed on a Muse
Cell Analyzer using a Muse Cell Cycle Assay Kit according to the supplied
instructions.
Immunofluorescence
293T cells were cultured on glass coverslips in six-well plates and transfected
with pcDNA3.1/RNF168WT, RNF168H33A or RNF168A179G/A450G plasmid using
Lipofectamine 2000 according to the manufacturer’s instructions.
Thirty-six hours after transfection, cells were fixed in 4%
paraformaldehyde for 30 min and permeabilized in 0.2% Triton-X 100
solution for 15 min followed by blocking with 3% BSA/PBS for 30 min. For
RNF168 protein detection by immunofluorescence, cells were incubated with mouse
anti-myc primary antibody (1:200 dilution) for 1 h, after extensive washing, the
cells were incubated with secondary antibody (FITC anti-mouse IgG, 1:100) for 1
h, followed by washing with PBS. Coverslips were air dried and counterstained
with DAPI. Images were acquired by fluorescence microscopy.
Western blot analysis
Whole protein lysates were extracted using RIPA lysis buffer supplemented with
PMSF and protease inhibitor cocktail; the concentration of isolated proteins was
determined using Protein Assay Kit II. Protein (50 μg) was
electrophoresed (10% precast gel), then transferred to Hybond-P PVDF
membranes. These membranes were incubated with anti-RNF168 in 5% skimmed
milk and appropriate secondary antibodies. Blots were then stripped and reprobed
with an antibody to β-actin. Western blot imaging and quantification were
carried out using the LI-COR ECL system (LI-COR, Lincoln, U.S.A.).
Statistical analyses
Data are presented as the mean and S.E.M.; the number of observations
(n) refers to different transfected samples, each derived
from a separate culture of cells. Data were analysed by either one-way ANOVA,
using either Bonferroni’s multiple comparison test (MCT) or
Dunnett’s MCT (the latter when comparing multiple groups compared with a
single group) for post hoc analysis, or by two-way ANOVA, using Dunnett’s
MCT. Homogeneity of variance was checked by Bartlett’s test and, where
necessary, data were transformed (log or square root) prior to analysis. All
analyses were performed using GraphPad Prism v4.03.
Results
RIM of mouse haematopoietic cells
The FDCP1 cell line is a growth factor dependent haematopoietic
granulocyte/macrophage cell line originally isolated from DBA/2 mouse bone
marrow [36]. FDCP1 cells were cloned
using soft agar and limiting dilution in the presence of IL-3 and the subclone
FDCP1B was selected for subsequent analyses because this subclone undergoes
apoptosis more rapidly and synchronously on withdrawal of IL-3 [37] than parental FDCP1 cells [38].FDCP1B cells were infected with retrovirus M3Pneo-sup. M3Pneo-sup is a
myeloproliferative sarcoma virus (MPSV)-based retroviral vector in which all the
viral genes have been removed (splice acceptor sequences and upstream sequences
necessary for efficient splicing of Mo-MuLV are retained) and the selectable
marker gene, neomycin phosphotransferase (neoR) has been
inserted in order to select cells that carry an integrated provirus [42-44]. The retrovirally infected FDCP1B cells were plated in soft agar
in the absence of IL-3 and IL-3-independent clones were isolated. One of these
clones, PAP60 [40], was selected for
further study and showed a complete IL-3 independence for both survival and
growth (Figure 1a). In order to determine
whether the mutant cells could respond to IL-3 at all, they were challenged with
topoisomerase II inhibitor etoposide in the presence and absence of IL-3 (Figure 1b). The presence of IL-3 produced
substantial protection against etoposide-induced apoptosis of both the PAP60
mutant cell line and the parental cell line, indicating that the PAP60 cell line
retained responsiveness to IL-3 even though it was no longer IL-3-dependent for
survival or proliferation.
Figure 1
RIM clone PAP60 is IL-3 independent for both survival and
proliferation but is not insensitive to IL-3
(a) FDCP-1B and PAP60 cells were washed three times with
RPMI-1640 medium lacking mIL-3 and then seeded at 1 ×
105 cells per ml in the presence or absence of 1 ng/ml
mIL-3. Cell proliferation was measured by MTT assay at the indicated
time points over a 5-day period. (b) The presence of IL-3
still exerts a strong protective affect for FDCP-1B and PAP60 cells when
apoptosis is induced by etoposide treatments. FDCP-1B and PAP60 cells
were washed and seeded at 2 × 105 cells in 2 ml
culture medium, in the presence or absence of mIL-3 with 3.4-μM
etoposide (Eto). After 24 h, cells were harvested, stained with
Propidium Iodide, and apoptosis was detected using flow cytometry.
Apoptotic bodies appear in the sub-G1 peak. Data are the mean
± S.D. of three independent experiments.
RIM clone PAP60 is IL-3 independent for both survival and
proliferation but is not insensitive to IL-3
(a) FDCP-1B and PAP60 cells were washed three times with
RPMI-1640 medium lacking mIL-3 and then seeded at 1 ×
105 cells per ml in the presence or absence of 1 ng/ml
mIL-3. Cell proliferation was measured by MTT assay at the indicated
time points over a 5-day period. (b) The presence of IL-3
still exerts a strong protective affect for FDCP-1B and PAP60 cells when
apoptosis is induced by etoposide treatments. FDCP-1B and PAP60 cells
were washed and seeded at 2 × 105 cells in 2 ml
culture medium, in the presence or absence of mIL-3 with 3.4-μM
etoposide (Eto). After 24 h, cells were harvested, stained with
Propidium Iodide, and apoptosis was detected using flow cytometry.
Apoptotic bodies appear in the sub-G1 peak. Data are the mean
± S.D. of three independent experiments.The key advantage of the RIM strategy is that it allows the site of insertion of
the provirus to be determined by I-PCR [41,45]. This technique
revealed that in the PAP60 cells, the provirus insertion site is in mouse
chromosome 16, 229 bases upstream of the transcription start site of the gene
encoding RNF168 (Figure 2a), and 2452 bases
downstream of Smco1 (2310010M20Rik), a 200-amino acid single-pass membrane
protein. The human homologue of Smco1 is a 214-amino acid protein known as
C3orf43 [46,47]. Since the effects of proviral integration are not
entirely predictable, the transcription levels of the two genes flanking the
integration site were determined by RT-qPCR in PAP60 cells and the parental
FDCP1B cells, both with and without IL-3 (Figure
2b). The level of expression of Smco1 was the same in PAP60 and
parental FDCP1B cells. By contrast, the level of expression of RNF168 was
doubled in PAP60 cells relative to parental FDCP1B cells. The expression of the
two genes examined was unaffected by the presence of IL-3 in both PAP60 and
parental FDCP1B cells (Figure 2b). Since
the exact mechanism by which retroviral insertion increases transcription from
the nearby RNF168 gene is not clear, RNF168
mRNA levels were manipulated in other ways (see below).
Figure 2
Identification of the provirus integration site in mouse chromosome
16 and expression of neighbouring genes
(a and c) Schematic representation of mouse chromosome 16,
Smco1 and RNF168. In the PAP60 cells, the provirus is integrated 229
bases upstream of the 5′ transcription start site of the RNF168
and 2452 bp downstream of the 3′ end of the
Smco1 gene. (b) Relative expression of
Smco1 and RNF168 in FDCP-1B and PAP60 cells. PAP60 and FDCP1B cells were
grown in the presence (1 ng/ml) of mIL-3 for 48 h. The cells were then
washed and grown in the presence or absence of mIL-3 for 12 h. mRNA
expression of Smco1 and RNF168 in parental FDCP-1B cells and PAP60 cells
in the presence (1 ng/ml) or absence of mIL-3 were analysed by reverse
transcription and real-time PCR with specific primers to Smco1, RNF168
and β-actin. The transcript levels are expressed relative to
β-actin mRNA levels in the parental FDCP-1B
cells. RT-qPCR measurements were repeated three times with similar
results.
Identification of the provirus integration site in mouse chromosome
16 and expression of neighbouring genes
(a and c) Schematic representation of mouse chromosome 16,
Smco1 and RNF168. In the PAP60 cells, the provirus is integrated 229
bases upstream of the 5′ transcription start site of the RNF168
and 2452 bp downstream of the 3′ end of the
Smco1 gene. (b) Relative expression of
Smco1 and RNF168 in FDCP-1B and PAP60 cells. PAP60 and FDCP1B cells were
grown in the presence (1 ng/ml) of mIL-3 for 48 h. The cells were then
washed and grown in the presence or absence of mIL-3 for 12 h. mRNA
expression of Smco1 and RNF168 in parental FDCP-1B cells and PAP60 cells
in the presence (1 ng/ml) or absence of mIL-3 were analysed by reverse
transcription and real-time PCR with specific primers to Smco1, RNF168
and β-actin. The transcript levels are expressed relative to
β-actin mRNA levels in the parental FDCP-1B
cells. RT-qPCR measurements were repeated three times with similar
results.
Analysis of the role of RNF168 in mouse cells
Since the RT-qPCR analysis above suggested that RNF168 may be involved in the
IL-3-independence observed in the PAP60 cells, the effect of down-regulation of
endogenous RNF168 expression was examined. PAP60 and parental FDCP1B cells were
transduced with shRNA vectors targeting RNF168. shRNAs targeting GFP were used
as a control. RNF168-targeting shRNAs reduced RNF168 mRNA
levels by 60–70% in both PAP60 and FDCP1B cells (Figure 3a). This was accompanied by
substantial reductions in culture cell density for both RNF168 shRNAs (Figure 3b), further implicating RNF168 in the
control of proliferation in these murine growth factor dependent cells. This
reduction in cell culture growth by both shRNF168 constructs was confirmed in a
time-course experiment over 5 days (Figure
3c).
Figure 3
Down-regulation of RNF168 in FDCP-1B and PAP60 cells leads to reduced
numbers of cells
(a,b) FDCP-1B and PAP60 cells were transduced
with LV-shRNF168A, LV-shRNF168B and LV-shGFP (MOI =3). (a) RNA
levels and (b) cell density were determined on day 4 after transduction.
Data are expressed as mean ± S.D., and statistical analyses of
the data were performed using Student’s t test.
Values of P<0.05 were considered to be
statistically significant. The data are representative of three
independent experiments for FDCP-1B and two independent experiments for
PAP60 cells. (a) RNF168 RNA levels are expressed relative to the levels
in the untreated corresponding cell line (PAP60 absolute level is two
fold higher than FDCP1 absolute level Figure 2b). (c) Reduction in cell number by
down-regulation of RNF168. FDCP-1B and PAP60 cells were transduced with
LV-shRNF168A, LV-shRNF168B and LV-shGFP vectors, at an MOI of 3. Cell
numbers were determined by MTT assay over an 8-day period. Data are
expressed as a percentage MTT activity compared with non-infected
cells.
Down-regulation of RNF168 in FDCP-1B and PAP60 cells leads to reduced
numbers of cells
(a,b) FDCP-1B and PAP60 cells were transduced
with LV-shRNF168A, LV-shRNF168B and LV-shGFP (MOI =3). (a) RNA
levels and (b) cell density were determined on day 4 after transduction.
Data are expressed as mean ± S.D., and statistical analyses of
the data were performed using Student’s t test.
Values of P<0.05 were considered to be
statistically significant. The data are representative of three
independent experiments for FDCP-1B and two independent experiments for
PAP60 cells. (a) RNF168 RNA levels are expressed relative to the levels
in the untreated corresponding cell line (PAP60 absolute level is two
fold higher than FDCP1 absolute level Figure 2b). (c) Reduction in cell number by
down-regulation of RNF168. FDCP-1B and PAP60 cells were transduced with
LV-shRNF168A, LV-shRNF168B and LV-shGFP vectors, at an MOI of 3. Cell
numbers were determined by MTT assay over an 8-day period. Data are
expressed as a percentage MTT activity compared with non-infected
cells.It is well established that RNF168 plays a key role in the repair of double-stand
DNA breaks through the ubiquitination of nuclear proteins [23,28,33,48-50]. In order to
examine the possibility that RNF168 might also be involved in modification of
proteins in other cellular locations, Myc-tagged RNF168 was expressed in 293T
cells and examined by fluorescence microscopy. RNF168 could only be detected
within the nucleus, with a speckled appearance (Supplementary Figure S1). This
nuclear distribution is consistent with the recently reported association of
RNF168 with PML-NB [35].
Analysis of the role of RNF168 in human haematopoietic cells
In order to test the hypothesis that RNF168 might play a role in the regulation
of growth factor dependence in human as well as mouse cells, we analysed the
effect of overexpression of RNF168 in the human growth factor dependent cell
line TF-1 [15]. TF-1 is a human
haematopoietic cell line and TF-1 cells are dependent on IL-3 or GM-CSF for
survival and proliferation [15]. TF-1
cells were transfected with a RNF168 expression construct, in order to
overexpress RNF168, or with vector only (Figure
4a). Transfected cells were incubated in the presence or absence of
IL-3 for 22 h; both culture viability and viable cell number in control vector
transfected TF-1 cells were significantly reduced in the absence of IL-3. By
contrast, culture viability and viable cell number were unaffected by IL-3
withdrawal in the RNF168 overexpressing TF-1 cells (Figure 4b–d), as seen for PAP60 cells (Figure 1), implicating RNF168 in the control
of cell fate in human as well as mouse cells. Down-regulation of RNF168 in
IL-3-supplemented TF-1 cells (Figure 4e)
produced reductions in both the total cell density and the viable cell density
of cultures (Figure 4f–h), further
indicating a role for endogenous RNF168 in the proliferation of these human
haematopoietic cells.
Figure 4
RNF168 regulates the growth and survival of the human growth factor
dependent cell line, TF1
Cells were either transfected with a plasmid encoding human RNF168 or
siRNA to human RNF168 and then cultured in the absence or presence of
IL-3. (a–d) Cells were nucleofected
with the plasmids pCMVSPORT6-RNF168 (R) or pCMVSPORT6 alone (V) and
maintained in the presence of IL-3 for 20 h. (a) Western blot analysis
demonstrating up-regulation of RNF168. Cells were then washed and
replated at equal densities in medium containing (+) or without
(–) IL-3 and cultured for a further 22 h before determining
culture viability (b), viable cell number (c) and total cell number (d).
Note that vector-transfected cells only demonstrate IL-3 dependence and
that overexpression of RNF168 increases culture growth/viability in the
absence of IL-3 only (*P <0.05,
**P<0.01 and
***P<0.001 for
intraplasmid comparisons;
∧P<0.05 and
∧∧∧P<0.001
for interplasmid comparisons; one-way ANOVA and Bonferroni’s MCT;
n=5). (e–h)
Cells were transfected with one of four different siRNAs to RNF168
(#1–#4) or with NC siRNA and maintained in the presence of IL-3
for 70 h. (e) Western blot analysis demonstrating down-regulation of
RNF168. Cells were then washed and replated at equal densities in medium
containing IL-3 and cultured for a further 70 h before determining
culture viability (f), viable cell number (g) and total cell number (h).
Note that silencing of RNF168 reduces culture growth
(*P<0.05 and
**P<0.01 compared with NC
siRNA-transfected cells; one-way ANOVA and Dunnett’s MCT;
n = 5).
RNF168 regulates the growth and survival of the human growth factor
dependent cell line, TF1
Cells were either transfected with a plasmid encoding human RNF168 or
siRNA to human RNF168 and then cultured in the absence or presence of
IL-3. (a–d) Cells were nucleofected
with the plasmids pCMVSPORT6-RNF168 (R) or pCMVSPORT6 alone (V) and
maintained in the presence of IL-3 for 20 h. (a) Western blot analysis
demonstrating up-regulation of RNF168. Cells were then washed and
replated at equal densities in medium containing (+) or without
(–) IL-3 and cultured for a further 22 h before determining
culture viability (b), viable cell number (c) and total cell number (d).
Note that vector-transfected cells only demonstrate IL-3 dependence and
that overexpression of RNF168 increases culture growth/viability in the
absence of IL-3 only (*P <0.05,
**P<0.01 and
***P<0.001 for
intraplasmid comparisons;
∧P<0.05 and
∧∧∧P<0.001
for interplasmid comparisons; one-way ANOVA and Bonferroni’s MCT;
n=5). (e–h)
Cells were transfected with one of four different siRNAs to RNF168
(#1–#4) or with NC siRNA and maintained in the presence of IL-3
for 70 h. (e) Western blot analysis demonstrating down-regulation of
RNF168. Cells were then washed and replated at equal densities in medium
containing IL-3 and cultured for a further 70 h before determining
culture viability (f), viable cell number (g) and total cell number (h).
Note that silencing of RNF168 reduces culture growth
(*P<0.05 and
**P<0.01 compared with NC
siRNA-transfected cells; one-way ANOVA and Dunnett’s MCT;
n = 5).
Analysis of the role of RNF168 in human breast cancer cells
Since both the cell lines, mouse FDCP1B and human TF-1, are growth factor
dependent haematopoietic cell lines, we extended the study to investigate the
role of endogenous RNF168 in the proliferation and survival of human breast cell
line MCF-7. MCF-7 cell cultures were treated with siRNAs specific for RNF168,
and a non-targeting NC siRNA. Western blotting confirmed partial depletion of
RNF168 protein (Figure 5a). RNF168 siRNAs
significantly reduced MTS culture growth measurements and both viable cell
density and total cell density (Figure
5b–e). In addition, RNF168 siRNAs substantially reduced the
colony-forming ability of MCF-7 cells cloned for 72 h after treatment (Figure 5f). Cell cycle analysis indicated
that depletion of endogenous RNF168 increased accumulation of cells in the
G0/G1 phase, with corresponding decrease in cells in
S-phase and G2/M (Figure
5g–i). These consistent observations indicate that the involvement
of RNF168 in the control of human cell proliferation is not restricted to
haematopoietic growth factor dependent cells.
Figure 5
RNF168 also regulates the growth of human growth factor independent
cells
The breast cancer cell line, MCF7, was transfected with one of the four
different siRNAs to RNF168 (#1–#4) or with NC siRNA and after 70
h, cells were replated at equal densities for analyses of culture growth
and the cell cycle. (a) Western blot analysis demonstrating
the effectiveness of the treatments.
(b–d) Culture growth parameters
determined by direct microscopic counting at 48 h
post-replating. Note that silencing of RNF168 has
negligible effect on culture viability (b) but significantly reduces
viable (c) and total (d) cell numbers
(*P<0.05 and
**P<0.01 compared with NC
siRNA-transfected cells; one-way ANOVA and Dunnett’s MCT;
n≥3). (e) MTS assay of culture
growth up to 96 h post-plating confirming reduced
growth of cells transfected with siRNA to RNF168; statistical analysis
(two-way ANOVA and Dunnett’s MCT; n ≥ 3)
demonstrates different (P<0.05) values for all
siRNAs at 72 h and for siRNAs #3 and #4 at 96 h. (f)
Clonogenic assay data demonstrating that long-term growth of cells is
compromised following silencing of RNF168
(*P<0.05 and
**P<0.01 compared with NC
siRNA-transfected cells; one-way ANOVA and Dunnett’s MCT;
n ≥ 3).
(g–i) Cell cycle analysis at 24 h
post-replating, indicating reduced proliferation
following silencing of RNF168 (*P<0.05,
**P<0.01 and
***P<0.001 compared
with NC siRNA-transfected cells; one-way ANOVA and Dunnett’s MCT;
n = 3).
RNF168 also regulates the growth of human growth factor independent
cells
The breast cancer cell line, MCF7, was transfected with one of the four
different siRNAs to RNF168 (#1–#4) or with NC siRNA and after 70
h, cells were replated at equal densities for analyses of culture growth
and the cell cycle. (a) Western blot analysis demonstrating
the effectiveness of the treatments.
(b–d) Culture growth parameters
determined by direct microscopic counting at 48 h
post-replating. Note that silencing of RNF168 has
negligible effect on culture viability (b) but significantly reduces
viable (c) and total (d) cell numbers
(*P<0.05 and
**P<0.01 compared with NC
siRNA-transfected cells; one-way ANOVA and Dunnett’s MCT;
n≥3). (e) MTS assay of culture
growth up to 96 h post-plating confirming reduced
growth of cells transfected with siRNA to RNF168; statistical analysis
(two-way ANOVA and Dunnett’s MCT; n ≥ 3)
demonstrates different (P<0.05) values for all
siRNAs at 72 h and for siRNAs #3 and #4 at 96 h. (f)
Clonogenic assay data demonstrating that long-term growth of cells is
compromised following silencing of RNF168
(*P<0.05 and
**P<0.01 compared with NC
siRNA-transfected cells; one-way ANOVA and Dunnett’s MCT;
n ≥ 3).
(g–i) Cell cycle analysis at 24 h
post-replating, indicating reduced proliferation
following silencing of RNF168 (*P<0.05,
**P<0.01 and
***P<0.001 compared
with NC siRNA-transfected cells; one-way ANOVA and Dunnett’s MCT;
n = 3).
Discussion
A forward genetics strategy for the identification of functionally critical
components of cell regulatory mechanisms has several important advantages: first, it
is entirely independent of established knowledge; and second, it automatically
focuses on elements that have controlling roles rather than on secondary phenomena
[51-54]. RIM is an important application of the forward genetics
strategy that has identified many unanticipated genes that encode key components of
the mechanisms regulating cell fate. Many of these genes are implicated in
oncogenesis and/or resistance to cancer therapies [18,19]. Our unbiased screen for
genes implicated in growth factor independence in haematopoietic cells has
identified an E3 ubiquitin ligase RNF168.RNF168 has a well-established and important role in the modification of chromosomal
proteins required for the repair of double-strand DNA breaks [23,28-32]. The observations presented above strongly
suggest a broader role in the regulation of cell fate, i.e. in controlling cell
survival and proliferation (Figures 1, 3–5).
It is arguable that the amplification of RNF168 in tumours is
consistent with this wider role [32,34]. The observation that overexpression of
RNF168 confers growth factor independence in both human and mouse haematopoietic
cells (Figures 1, 3–5) suggests its
involvement at key stages in pathways controlling cell fate. Moreover, our data
suggest that this involvement of RNF168 in cell proliferation and survival is not
limited to the cells of the haematopoietic lineage as reduction in the endogenous
expression of RNF168 significantly affects the survival, proliferation and
colony-forming ability of human breast epithelial cell line MCF-7.Almost all previous reports of RNF168 activity have been concerned with the
modification of nuclear proteins [31,55] and, consistent with this, our analysis of
the subcellular localization of RNF168 (Supplementary Figure S1) indicates nuclear
localization in patterns similar to those recently reported by Shire et al. [35]. In this context, it is important to
appreciate that the post-translational modification of chromosomal proteins,
including by ubiquitination [56,57], is involved in the regulation of many
cellular processes, and this includes gene expression as well as DNA repair. For
example, Bhatnagar et al. [27] reported that
the ubiquitination of H2A by the E3 ubiquitin ligase TRIM37 resulted in the
down-regulation of tumour suppressor genes in breast epithelial cells.Several recent papers have shown that RNF168’s role extends beyond histone
modification [35,58,59]. As well as PML
[35], RNF168-mediated ubiquitination of
FOXM1 (transcription factor forkhead box M1 [58] and TOP2α (topoisomerase IIα [59]) has also been demonstrated. The observation that RNF168
expression affects the accumulation of proteins in PML NBs may prove to be
especially significant [35]. Down-regulation
of RNF168 increased the level of PML NBs and overexpression of RNF168 produced a
corresponding decrease in PML NBs [35]. PML
is a well-established tumour suppressor [60-64] and a reduction or
loss in expression of PML in other systems, e.g. in PML−/−
mice, results in increased proliferation and reduced apoptosis [60-63]. In particular, in TF1 cells, expression of the PML–RAR
α fusion protein, which acts as dominant-negative PML [64], protects these cells from apoptosis induced by growth
factor withdrawal, allowing growth factor independent proliferation. Negative
regulation of PML by RNF168 [35] could
therefore account for the inhibition of apoptosis and growth factor independent
proliferation that we report here. The functional importance of RNF168 in regulating
cell proliferation and apoptosis may have important implications for the
cell’s response to DNA damage. Through connecting the DNA repair process to
PML-NB activity, RNF168 may help to link the DDR to the subsequent fate of the
cell.In summary, an unbiased functional screen identified RNF168 in mouse haematopoietic
cell lines that survived and proliferated in the absence of growth factor.
Subsequent experiments suggest that RNF168 may play a key part of the mechanisms
regulating cell survival and proliferation in both mouse and human cells,
potentially through interaction with PML-NB.Subcellular localization of RNF168. Myc-tagged wild-type (RNF168WT), RING
domain mutated (RNF168H33A) and MIU domains mutated (RNF168A179G/A450G)
RNF168 plasmids were transfected into 293T cells. RNF168 protein was
visualized using anti-myc antibody; nuclei were counter stained with DAPI.
RNF168WT (A) and RNF168H33A (B) proteins localized to nucleus with a
dot-like, speckled pattern, while RNF168A179G/A450G (C) distributed evenly
throughout the nucleus.
Authors: Lígia Tavares; Emilia Dimitrova; David Oxley; Judith Webster; Raymond Poot; Jeroen Demmers; Karel Bezstarosti; Stephen Taylor; Hiroki Ura; Hiroshi Koide; Anton Wutz; Miguel Vidal; Sarah Elderkin; Neil Brockdorff Journal: Cell Date: 2012-02-09 Impact factor: 41.582
Authors: Amélie Fradet-Turcotte; Marella D Canny; Cristina Escribano-Díaz; Alexandre Orthwein; Charles C Y Leung; Hao Huang; Marie-Claude Landry; Julianne Kitevski-LeBlanc; Sylvie M Noordermeer; Frank Sicheri; Daniel Durocher Journal: Nature Date: 2013-06-12 Impact factor: 49.962
Authors: Charlotte R Feddersen; Lexy S Wadsworth; Eliot Y Zhu; Hayley R Vaughn; Andrew P Voigt; Jesse D Riordan; Adam J Dupuy Journal: BMC Genomics Date: 2019-06-17 Impact factor: 3.969