![]()
|
|
||||||||
J. Biol. Chem., Vol. 277, Issue 48, 46043-46050, November 29, 2002
| ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
From the Department of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, Boston, Massachusetts 02115
Received for publication, August 30, 2002, and in revised form, September 23, 2002
| |
ABSTRACT |
|---|
|
|
|---|
Transcriptional activator proteins recruit the
RNA polymerase II machinery and chromatin-modifying activities to
promoters. Biochemical experiments indicate that activator proteins can
associate with a large number of proteins, and many such proteins have
been proposed to be direct targets of activators. However, there is great uncertainty about which biochemical interactions are
physiologically relevant. Here, we develop a formaldehyde-based
cross-linking procedure to identify protein-protein interactions that
occur under physiological conditions. We show that the VP16 activation domain directly interacts with TATA-binding protein (TBP), TFIIB, and
the SAGA histone acetylase complex in
vivo.
Transcriptional activator proteins regulate the expression of
eukaryotic genes in response to developmental and environmental cues.
Such activator proteins contain a DNA-binding domain that recognizes
specific promoter DNA sequences and a physically separate transcriptional activation region that stimulates mRNA initiation by RNA polymerase II (1-4). Activation domains are functionally autonomous; they function when fused to heterologous DNA-binding domains tethered at different positions in the promoter region. The
best characterized activation domains are defined by short acidic
regions that show little primary sequence homology (5, 6). Mutational
analysis indicates that acidic and hydrophobic residues within these
domains contribute to functional activity, although individual residues
make only a minor contribution (4, 7-10). Acidic activation domains do
not have a defined tertiary structure but become structured only upon
specific interaction with another protein (11, 12). Taken together,
these observations indicate that acidic activation domains are surfaces
used to mediate protein-protein interactions. It is presumed that other
types of activation domains, such as those rich in glutamine (13) or
proline (14) residues, function in a similar manner.
Chromatin immunoprecipitation experiments indicate that, in
vivo, activator proteins mediate the recruitment of the Pol II machinery and chromatin-modifying activities (e.g. the
Swi/Snf nucleosome remodeling complex and the SAGA and NuA4 histone
acetylase complexes) to promoters (15-20). However, such experiments
do not define the direct targets of activator proteins. In yeast cells, individual components of the Pol II machinery associate with promoters in a mutually interdependent manner (15, 16), and direct connection of
a DNA-binding domain to virtually any component of the Pol II machinery
suffices for transcription (21, 22). Thus,
activator-dependent recruitment of the Pol II machinery to
promoters in vivo could be due to a direct contact to any
component of the Pol II machinery. In addition,
activator-dependent recruitment of the Pol II machinery could be an indirect consequence of activator-dependent
changes in chromatin structure. Activator-dependent
recruitment of Swi/Snf and SAGA can occur even when the Pol II
machinery is not associated with promoters (17, 23, 24), consistent
with the idea that activators directly interact with these
chromatin-modifying complexes. However, chromatin immunoprecipitations
experiments are inherently unable to determine which components of the
Pol II machinery or which chromatin-modifying activities directly
interact with activator proteins in vivo.
In vitro, transcriptional activators can interact with
TATA-binding protein (TBP)1
(25-27), TBP-associated factors (TAFs) (28, 29), TFIIA (30), TFIIB
(31), TFIIH (32), components of the mediator subcomplex of RNA
polymerase II holoenzyme (33-36), Swi/Snf (34, 37, 38), SAGA (39, 40),
and NuA4 (40). However, it is generally not understood which of these
interactions occur under physiological conditions and are relevant for
transcriptional activation in vivo. In many cases,
activator-target interaction experiments are performed under very
artificial conditions. For example, standard GST pulldown experiments
involve very high concentrations of activation domains and potential
targets, and the potential targets are often assayed as isolated
proteins rather than multiprotein complexes that occur in cells. GST
pulldowns, and other techniques such as co-immunoprecipitation and
far-Western blotting, are prone to binding artifacts, and this is
particularly likely for acidic activation domains, which are largely
unstructured and have an abundance of negative and hydrophobic
residues. For example, while the strength of biochemical interactions
between activation domains and several potential targets strongly
correlates with the transcriptional potency of the activation domain,
this correlation is equally strong for activator binding to lysozyme, a
protein that is clearly not a physiologically relevant target (41).
Biochemical interactions between activators and potential targets have
also been identified by photo-cross-linking. This approach has
identified the Tra1 subunit of the SAGA complex (42), several subunits
of the Swi/Snf complex (43), and the Srb4 subunit of the mediator
complex (44) as direct targets of activation domains in
vitro. In the case of Tra1, mutations that reduce the interaction with the activation domain without compromising the integrity of the
SAGA complex show transcriptional activation defects in vivo. These experiments provide strong evidence that the Tra1 subunit of SAGA is a physiologically relevant target. However, there is
no direct physical evidence for these activator-target interactions
in vivo.
We wished to develop a new procedure that can detect protein-protein
interactions inside living cells under physiological conditions. To
that end, we utilized formaldehyde, which rapidly permeates the cell
and generates protein-protein and protein-DNA cross-links. Proteins
that are cross-linked to transcriptional activators are
co-immunoprecipitated under stringent conditions and then identified by
Western blotting after reversal of the formaldehyde cross-links.
Kinetic experiments using formaldehyde cross-linking to measure
protein-DNA association in vivo strongly suggest that
formaldehyde inactivates cellular enzymes almost immediately upon
addition to the growing cells and that the 20-min incubation time
merely increases the cross-linking in fixed and metabolically inert
cells (45-47). As such, formaldehyde cross-linking is likely to
provide a snapshot of protein-protein interactions at the particular
time point. Here we use this technique to address whether TFIID, TFIIA,
and TFIIB and the SAGA histone acetylase complex interact directly with
activation domains in yeast cells.
Construction of Plasmids and Yeast Strains--
The plasmids
listed in Fig. 1 were constructed by PCR amplification of the various
segments and insertion into the indicated restriction sites of the
LEU2 vector YCplac111 (48). In addition, ApaI and
SalI sites and a His6 tag were introduced
between the NcoI site and the CYC1 termination
domain. The activation domains described in Fig. 7 were cloned into
this construct between the BamHI and NcoI sites
(Hap4, Ace1, Adr1) or between the NcoI and SalI
sites (Gcn4, Put3). The GAL-LacZ reporter plasmid pRY131 contains a 2µ origin of replication and a URA3
marker (49). All yeast strains were derived from a Research Genetics
strain (record number 11044) with a gal4 deletion
(MAT Cross-linking--
Cells were grown in 200 ml of
synthetic complete medium lacking uracil and leucine to OD = 0.4, and then CuSO4 (1 mM) was added for
1.5 h. A 37% solution of formaldehyde (5.4 ml) was added directly
to the culture to bring the final concentration to 1%. After 20 min,
cross-linking was quenched by addition of 2 M glycine (60 ml). The cells were harvested, washed with 400 ml of cold Tris-buffered saline followed by 40 ml of cold lysis buffer (50 mM HEPES-KOH, pH 7.5, 150 mM NaCl, 10 mM EDTA, 5 mM EGTA, and 1% Triton X-100).
Cells were resuspended in 1 ml of lysis buffer containing 1 mM phenylmethylsulfonyl fluoride, 2 mM
benzamidine, 1× CompleteTM protease inhibitor mixture
(Roche Molecular Biochemicals). To this suspension, 1.5 ml of
zirconia/silica beads (0.5 mm, BioSpec Products) was added, and then
the cells were disrupted on a Mini-Beadbeater (BioSpec Products) with 6 pulses (1 min each) at full power with icing between cycles. The
mixture was transferred to a Falcon tube and separated from the beads
by centrifugation through a needle hole into a 30-ml tube. The beads
were further washed with 3 ml of lysis buffer plus protease inhibitors.
The lysate was then sonicated with 4 × 30-s pulses
(Branson Ultrasonics Sonifier Model 450, 50% pulses, power = 7) and centrifuged for 20 min at 32,000 × g. The
supernatant was transferred to a 15-ml tube taking care that no solid
material from the pellet was dislodged. In Vivo Cross-linking of VP16 Activation Domain to TAF12--
The
yeast strains in these experiments express the chimeric activator
Gal4-VP16, which consists of the Gal4 DNA-binding domain fused to the
VP16 transcriptional activation domain, or related proteins that
contain mutated forms of either domain (Fig.
1A). To facilitate
immunopurification, each protein also contains three copies of the HA
epitope at the N terminus (51). As high levels of Gal-VP16 are toxic to
yeast cells (52, 53), expression is controlled by a copper-inducible
promoter that is essentially inactive in the absence of copper (54).
The yeast strains also contain a multicopy LacZ reporter
plasmid to monitor the transcriptional activity as well as to provide
additional DNA binding sites from which to activate transcription.
Within the range of copper tolerated by the cells, the level of
transcription continuously increased, and no toxicity was observed
(Fig. 1B).
To generate protein-protein cross-linking in vivo,
copper-induced cells were treated with 1% formaldehyde for 20 min.
Gal4-VP16 derivatives and cross-linked proteins were immunopurified
from cell-free extracts with antibodies against the HA epitope under stringent conditions. A control Western blot with the antibody against
the HA epitope verifies that equal amounts of each fusion protein were
immunoprecipitated (Fig. 1C).
Western blots of the immunoprecipitated samples using an antibody
against TAF12 (previously known as TAF68 or TAF61) (55), a component of
both TFIID and SAGA, reveals that TAF12 cross-links to Gal4-VP16 but
not to the Gal4 DNA-binding domain alone (Fig. 1C).
VP16-TAF12 cross-linking depends on formaldehyde treatment (see Fig.
6), and the level of cross-linking is proportional to the amount of
activator expressed (data not shown). DNase I treatment of the
cell-free extract destroys the DNA but does not affect the level of the
observed VP16-TAF12 cross-link (data not shown), indicating that
observed interactions in vivo reflect protein-protein cross-linking that are not mediated through the DNA. Under the conditions shown here, we estimate that ~1% of the total TAF12 is
cross-linked to the VP16 activation domain.
The level of cross-linking is correlated with the functional quality of
the VP16 activation domain, because the Gal4-VP16-F442P derivative
shows reduced levels of activation and TAF12 cross-linking. However,
VP16-dependent cross-linking occurs at the same level even
upon deletion of the N-terminal 31 residues of Gal4, which disrupts the
zinc-finger domain essential for DNA binding and hence prevents
Gal4-dependent transcription in vivo. Thus,
although cross-linking depends on the presence of the VP16 activation
domain, it does not depend on a functional DNA-binding domain.
VP16 Cross-linking to Other Transcriptional Components--
To
determine whether the VP16 activation domain cross-links to other
potential target proteins in vivo, we generated an isogenic set of yeast strains in which individual proteins were tagged with the
Myc epitope. In each case, following cross-linking, the immunoprecipitated material was analyzed with antibodies against the
Myc epitope as well as the antibody against TAF12, which serves as an
internal control to verify the cross-linking and co-immunoprecipitation procedure. As shown in Fig. 2, we
observed a VP16-dependent cross-link to TBP and TFIIB, but
to neither subunit of TFIIA. Next, we examined all 14 TAF components of
TFIID (56) for their ability to cross-link with the VP16 activation
domain in vivo (Fig. 3).
VP16-dependent cross-linking is observed with a number of
TAFs, but only TAFs that are also present in the SAGA complex are
cross-linked (TAF5, TAF6, TAF9, and TAF12; weak cross-linking to TAF10
is also observed).
These results suggest that the VP16 activation domain interacts
directly with TBP, TFIIB, and SAGA in vivo. Further support for the VP16 interaction with SAGA comes from the observation that many
non-TAF components of SAGA (Ada1, Spt3, Spt7, Spt20, Tra1) also
co-purify with VP16 following cross-linking. Some SAGA subunits (Ada2,
Ada3, and Gcn5, which is responsible for the histone acetylase activity
of the SAGA complex), are present in the related ADA complex
(57). However, we did not detect VP16-dependent cross-linking to Ahc1, a subunit that is specific to the ADA complex (Fig. 4), suggesting that VP16 does not
interact with ADA in vivo.
Cross-linking in SAGA Mutant Strains--
The above results
strongly suggest that the VP16 activation domain directly interacts
with the SAGA complex and not TFIID in vivo. To demonstrate
this directly, cross-linking was examined in strains deleted for
individual genes encoding SAGA subunits. SAGA subunits have been
categorized into three functional types based on genetic and
biochemical observations (23, 24, 58-60). Some subunits, such as
Spt20, are required for the integrity of the SAGA complex, and hence
all SAGA functions. Subunits such as Ada2 are required for histone
acetylase activity and hence chromatin structure but are not required
for certain transcriptional functions of SAGA. Conversely, subunits
such as Spt3 are important for transcriptional functions that connect
SAGA to the general transcription machinery, particularly TBP.
We examined cross-linking of TBP, TFIIB, Ada1, Tra1, and TAF12 in
wild-type and mutant strains representing each class of SAGA subunit
(Fig. 5). For this experiment, the Gal4
and Gal4-VP16 proteins were expressed from the EFT2
promoter, which is less sensitive to SAGA mutations than the
copper-inducible promoter. VP16-dependent cross-linking of
TAF12, which is present in both TFIID and SAGA, is essentially
eliminated in the spt20 strain, in which the SAGA complex is
completely disrupted. However, the amount of Gal4-VP16 cross-linking to
TAF12 is only slightly reduced in the ada2 and
spt3 strains. Similar results are observed for cross-linking
to Ada1 and Tra1, although cross-linking to Ada1 is more sensitive to
loss of Ada2 and Tra1 is more sensitive to deletion of Spt3. In
contrast to these results with SAGA subunits, cross-linking to TBP and
TFIIB is only slightly reduced in any of the mutant strains. The total
cellular levels of these SAGA subunits as well as TBP and TFIIB are
similar in wild-type and all three mutant strains (data not shown).
These results strongly suggest that the VP16 activation interacts with
SAGA but not TFIID in vivo.
Relative Cross-linking Efficiencies of SAGA Subunits Are Not
Affected by Reducing the Overall Level of Cross-linking--
As
formaldehyde is a rather nonspecific cross-linking agent and as SAGA is
a very stable complex, our experimental procedure is likely to generate
significant (and perhaps extensive) cross-linking between SAGA subunits
in vivo. Thus, it is difficult to determine whether an
observed VP16-dependent interaction in vivo
reflects a direct cross-link with the protein examined or is due to a
network of protein-protein cross-links in which the protein examined is not a direct target. Because a majority of the SAGA subunits co-purify with Gal4-VP16 following cross-linking, we suspected that some of them
might not be directly cross-linked to the VP16 activation domain. As an
attempt to investigate this possibility, we carried out experiments at
reduced concentrations of formaldehyde. We reasoned that reduced
cross-linking efficiency would have less of an effect on direct targets
of the VP16 activation domain (i.e. those requiring a single
protein-protein cross-link) as opposed to SAGA components that do not
contact the VP16 activation domain (i.e. those requiring
multiple protein-protein cross-links). As expected, the level of
cross-linking decreases as the formaldehyde concentration is reduced.
However, as shown by a comparison to TAF12 in each case, a decrease in
relative cross-linking efficiency was not observed for any of the six
proteins tested (Fig. 6).
Cross-linking of Other Activation Domains to TBP and SAGA--
We
analyzed other activation domains for their ability to cross-link to
TBP and TAF12 in vivo (Fig.
7). Specifically, we analyzed these
activation domains in the context of a Gal4 fusion protein in the same
manner described for Gal4-VP16. While the activator proteins are
expressed at different levels (assayed by the Western blotting with the
HA antibody), the relative cross-linking of TBP and TAF12 can be
compared among the activators. In this regard, it is interesting that
the VP16, Gcn4, Put3, and Adr1 activation domains cross-link to both
TBP and TAF12, whereas the Hap4 and Ace1 activation domain cross-link
preferentially to TAF12.
Analysis of Protein-Protein Interactions in
Vivo--
Protein-protein interactions are responsible for a great
deal of biological specificity, but it has been difficult to identify such interactions under physiological conditions. Biochemical assays,
by definition, are not performed under physiological conditions, and
indeed many such assays employ extremely high protein concentrations and/or isolated proteins out of their natural context within
multiprotein complexes. Co-immunoprecipitation experiments from
cell-free extracts are performed under arbitrarily defined conditions,
and extract preparation results in the indiscriminate mixing of
components that were physically separate when inside cells. Two-hybrid
experiments are performed in vivo, but the components of
interest are presented in an artificial manner. The combination of
genetic analysis and biochemical analysis involving wild-type and
mutant protein provides the best evidence for identifying
protein-protein interactions that are physiological significant.
However, it is important to stress that the existence of such
protein-protein interactions in vivo is inferred, rather
than directly demonstrated by physical means.
Here, we describe a general method for detecting protein-protein
interactions in vivo under physiological conditions. This method, which is based on formaldehyde cross-linking, has several advantages. First, formaldehyde is a small molecule such that cross-linking requires that the two proteins be in close physical proximity. Second, as formaldehyde is a rather nonspecific
cross-linking agent that rapidly permeates intact cells, it should be
generally useful for detecting a wide range of protein-protein
interactions. Third, kinetic experiments strongly suggest that
formaldehyde inactivates cellular enzymes almost immediately upon
addition to the growing cells (45-47). This consideration suggests
that the method should provide a snapshot of protein-protein
interactions at the time of formaldehyde addition and that the
contribution of artifactual interactions that occur during the
cross-linking period should be minimized. Fourth, the use of a common
epitope tag on putative target proteins makes it possible to examine
every subunit of a given complex and to approximate the relative molar amounts of these proteins that immunopurify with a given protein of
interest (Gal4-VP16 in the case here).
Although the method is capable of detecting protein-protein
interactions in vivo, it has limitations that are worth
noting. An important limitation is that an apparent protein-protein
interaction in vivo could either represent a direct
cross-link between the two proteins or it might be due to multiple
cross-links that indirectly connect the two proteins. In this regard,
Gal4-VP16 appears to cross-link with numerous SAGA subunits, and it is
unclear which of these directly contact the activation domain (see
below). Another limitation is that the amount of formaldehyde
cross-linking depends on the number and physical location of lysines
(and perhaps other residues) within the interacting surfaces,
parameters that vary among protein-protein interactions. For this
reason, the failure to observe a cross-link between two proteins does
not necessarily mean that the proteins are not in contact. Lastly,
although the observed protein-protein interactions occur under
physiological conditions, the experiments do not address the
intracellular location where the interaction occurs. For example, the
VP16-dependent cross-links observed here do not require the
Gal4 DNA-binding domain, suggesting that the interactions can occur
when the proteins are not associated with their target sites within the
chromatin template. Our experiments do not address whether
cross-linking efficiency is influenced, either positively or
negatively, when the relevant proteins are bound to genomic sequences.
The VP16 Activation Domain Directly Interacts with SAGA in
Vivo--
Our results provide direct evidence for a physical
interaction between the VP16 activation domain and the SAGA complex
in vivo. We observe cross-linking to nine of the 14 subunits
tested, and disruption of the SAGA complex, as occurs in the
spt20 deletion strain, essentially eliminates cross-linking
to all SAGA subunits tested. This result is specific to SAGA because
cross-linking to TBP and TFIIB is only very slightly affected in the
spt20 deletion strain. Importantly, cross-linking to TAF12
is reduced to near-background levels in the spt20 strain,
even though TAF12 is present at normal levels in the TFIID complex.
This indicates that the vast majority of VP16-dependent
cross-linking to the TAFs reflects interaction with SAGA not TFIID.
This result agrees with GST pulldown experiments, showing that the Gcn4
activation domain interacts with TAFs present in both SAGA and TFIID
but not with TFIID-specific TAFs (39).
Interestingly, VP16-dependent cross-linking to the Tra1
subunit is largely eliminated in the spt20 deletion strain,
even though Tra1 is also present in the NuA4 HAT complex. This result
appears to conflict with the observation that the Hap4 acidic
activation domain photo-cross-links to Tra1 in both SAGA and NuA4 (42). This apparent discrepancy might be due to a difference in cross-linking efficiency to the two complexes, binding specificity of the VP16 and
Hap4 activation domains, or a factor present in vivo that inhibits an interaction between NuA4 and activators. In
vivo, SAGA is recruited to promoters by a variety of activator
proteins (17, 23, 24, 47, 61, 62), whereas recruitment of NuA4 appears
to be more activator-specific (20).
Given the large number of SAGA subunits that apparently cross-link to
the VP16 activation domain, we suspect that some (and perhaps many) of
the subunits are not directly cross-linked to the VP16 activation
domain but instead are indirectly cross-linked via other SAGA subunits.
In an attempt to distinguish direct from indirect cross-linking, we
reduced the overall level of cross-linking by lowering the formaldehyde
concentration, reasoning that interactions requiring a single
cross-link would be less affected than those requiring multiple
cross-links. However, lowering the formaldehyde concentration did not
differentially affect the relative cross-linking efficiency of any SAGA
subunits tested, suggesting that this reasoning was incorrect. Instead,
we suggest that cross-linking within the SAGA complex is much more
efficient than cross-linking between SAGA and the VP16 activation
domain. The SAGA complex is very stable and has numerous
protein-protein interaction surfaces, whereas the association between
the VP16 activation domain and the directly contacted subunit(s) is
likely to be transient and involve a limited interaction surface. In
addition, if cross-linking were extensive enough to form multiple
cross-links between each SAGA subunit, then reducing the concentration
of formaldehyde would not reduce intra-SAGA cross-linking but would
reduce cross-linking to the VP16 activation domain. However, our
results indicate that the VP16 activation domain does not cross-link to
all SAGA subunits, and while our method cannot definitively prove a
lack of a protein-protein interaction, it is noteworthy that we did not
observe cross-linking to Ada2, Ada3, or Gcn5, which together comprise a
subcomplex of SAGA.
However, we cannot rule out that the VP16 activation domain directly
contacts multiple subunits of SAGA. Photo-cross-linking experiments
that identified Tra1 as a direct target of the Hap4 activation domain
were unable to examine most of the other SAGA subunits due to high
background (42). However, similar experiments identified three subunits
of the Swi/Snf histone remodeling complex as direct targets of
Hap4 and Gcn4, and perhaps as many as four to five subunits are
contacted by Pho4 and Swi5 (43). This observation suggests that
activation domains, which are largely unstructured in solution and have
no strictly conserved domains, might have evolved to bind to a large
number of proteins but with a low affinity.
Binding of the VP16 Activation Domain to TBP and TFIIB in
Vivo--
Although TBP, TFIIA, and TFIIB interact with the VP16
activation domains in vitro, we could only confirm a direct
interaction in vivo with TBP and TFIIB. It is likely that
the VP16 activation domain interacts separately with TBP and TFIIB
because TBP and TFIIB only stably associate with each other in the
context of a preinitiation complex and the VP16-dependent
cross-links to TBP and TFIIB do not require the Gal4-DNA binding domain
(data not shown). It is also likely that the cross-link to TBP does not
occur to a significant extent when TBP is part of the TFIID complex
because, unlike the case for SAGA, we do not observe cross-linking to
other components of the complex such as TFIID-specific TAFs. Therefore,
our results suggest that TBP and TFIIB are direct targets of the VP16
activation domain in vivo.
How do the interactions of the VP16 activation domain to TBP and TFIIB
contribute to transcriptional activity in vivo? The simplest
model is that these interactions contribute to the recruitment of the
Pol II machinery to promoters, a key limiting step in vivo (15, 16, 21, 22, 63). However, several considerations argue against
this view. First, unlike the case for SAGA, TBP and TFIIB are not
recruited by the Gal4 activator bound to its genomic sites in the
absence of a TATA element (23, 24). Second, the VP16 activation domain
interacts with surfaces of TBP (64, 65) and TFIIB (31, 66) that are
critical for promoter binding, and mutations that abolish the
interactions in vitro do not significantly affect the level
of transcriptional activity in vivo (67, 68). This suggests
that the VP16 activation domain may not interact with TBP and TFIIB in
the context of a preinitiation complex, and in this regard our observed
cross-linking occurs primarily (and perhaps exclusively) when the
proteins are not bound to DNA. Our results are consistent with the idea
that activation domains can function as antirepressors of the
autoinhibitory activity of TBP (65). However, while our results
establish that the VP16 activation domain directly interacts with TBP
and TFIIB in vivo, the importance of these interactions for
transcriptional activity in vivo remain to be determined.
![]()
INTRODUCTION
TOP
ABSTRACT
INTRODUCTION
EXPERIMENTAL PROCEDURES
RESULTS
DISCUSSION
REFERENCES
![]()
EXPERIMENTAL PROCEDURES
TOP
ABSTRACT
INTRODUCTION
EXPERIMENTAL PROCEDURES
RESULTS
DISCUSSION
REFERENCES
his3
1 leu2-
0 lys2-
0 ura3-
0
gal4::KAN. Yeast strains expressing
3-Myc-tagged proteins from the normal genomic locus were obtained by
using gene-specific PCR primers to amplify derivatives of pMPY-3xMYC DNA, introducing the resultant PCR fragment into yeast cells by one-step integration, followed by looping out of the URA3
marker (50). pMPY-3xMYC DNA was modified by inserting the
CYC1 termination region (246 bp) into the BamHI
site (pDH035 for C-terminal tagging) or insertion of the
ADH1 (1200 bp) or TEF1 (400 bp) promoter into the
EcoRI site (pDH036 and pDH037 for N-terminal tagging); these modifications maintain stable expression of the target yeast protein before looping out of the URA3 marker. All proteins were
tagged at the C terminus except for TBP, TAF8, Spt7, Spt20, and Tra1. Yeast strains bearing SAGA deletions (ada2, no. 4282;
spt3, no. 4228; spt20, no. 7390) were obtained
from Research Genetics and were derived from BY4741
(MATa his3-
1 leu2-
0
met15-
0 ura3-
0). Strains containing the
desired Myc-tagged protein, SAGA deletion, and gal4 deletion
were generated by mating and tetrad dissection.
-HA monoclonal antibody
(12CA5) was coupled to protein A-Sepharose beads (Amersham Biosciences)
with dimethyl pimelimidate. In the case of Western blots involving
proteins larger than 100 kDa, the antibody was not covalently coupled
to the resin due to high molecular mass background. For each
reaction, 30 µl of ascites fluid and 60 µl of beads were incubated
with the supernatant for 1 h at 4 °C. The beads were
transferred to a 2-ml column and washed 4 × 3 ml with lysis
buffer with 0.1% sodium deoxycholate and 0.1% SDS, 2 × 3 ml of
the same buffer but with 500 mM NaCl, 2 × 3 ml of 10 mM Tris-HCl, pH 8.0, 0.25 M LiCl, 1 mM EDTA, 0.5% Nonidet P-40, 0.5% sodium deoxycholate, and
2 × 3 ml of TE (10 mM Tris-HCl, pH 8.0, 1 mM EDTA). The beads were then transferred to a 1.5-ml microcentrifuge tube with TE and pelleted. The TE was removed to
dryness with a 25-gauge needle. The immunoprecipitated material was
removed by incubating the beads in 60 µl of 50 mM
Tris-HCl, pH 7.5, 10 mM EDTA, 1% SDS at 65 °C for 10 min. The beads were removed by filtration, and 5× SDS-PAGE buffer was
added to the eluted material. After reversing the cross-links by
boiling for 20 min, SDS-PAGE gels were run using 3 µl of
immunoprecipitated material for
-HA Western blots, 15 µl for
-TAF61, and 30 µl for
-Myc. The
-TAF61 and
-Myc Western
blots were detected with SuperSignal® West Femto Substrate (Pierce).
![]()
RESULTS
TOP
ABSTRACT
INTRODUCTION
EXPERIMENTAL PROCEDURES
RESULTS
DISCUSSION
REFERENCES

View larger version (29K):
[in a new window]
Fig. 1.
The VP16 activation domain cross-links to
TAF12. A, expression of Gal-VP16 fusion proteins
containing the indicated regions of the Gal4 DNA-binding domain and
VP16 activation domain. All proteins contain three copies of the HA
epitope at the N terminus and are expressed from a copper-inducible
promoter (54). Levels of transcriptional activity on the pRY131
GAL-LacZ reporter gene are indicated in units of
-galactosidase activity after induction for 1.5 h with 1 mM CuSO4. B,
-galactosidase
activity (measured in strains expressing Gal and Gal-VP proteins) and
Gal4-VP16 protein levels (Western blot probed with
-HA antibody) as
a function of copper concentration. C, TAF12 cross-links to
the VP16 activation domain. Formaldehyde-cross-linked proteins were
immunoprecipitated with HA antibodies, and the resulting material
analyzed by Western blotting using HA and TAF12 antibodies.
Transcriptional activities conferred by the fusion proteins are
indicated.

View larger version (19K):
[in a new window]
Fig. 2.
The VP16 activation domain cross-links to TBP
and TFIIB but not to TFIIA. Immunoprecipitations were performed
with the
-HA antibody on cross-linked samples from strains
expressing the Gal (G), the Gal-VP plasmid (V),
or no plasmid (-) as well as Myc-tagged versions of TBP, TFIIB, and
either the large (lsu) or small (ssu) subunit of
TFIIA. The resulting materials were analyzed by Western blotting with
antibodies against the Myc epitope, HA epitope (to monitor
immunoprecipitation efficiency), and TAF12 (which serves as a positive
control for each sample).

View larger version (41K):
[in a new window]
Fig. 3.
The VP16 activation domain cross-links to
multiple TAFs in the SAGA complex but not to TFIID-specific TAFs.
Immunoprecipitations were performed with the
-HA antibody on
cross-linked samples from strains expressing the Gal (-) or Gal-VP
plasmid (+) as well as Myc-tagged versions of the indicated TAFs. The
resulting samples were analyzed as described in Fig. 2.

View larger version (31K):
[in a new window]
Fig. 4.
The VP16 activation domain cross-links to
multiple subunits of SAGA but not to the ADA complex.
Immunoprecipitations were performed with the
-HA antibody on
cross-linked samples from strains expressing the Gal (-) or Gal-VP
plasmid (+) as well as Myc-tagged versions of the indicated SAGA and/or
ADA subunits. The resulting samples were analyzed as described in Fig.
2.

View larger version (41K):
[in a new window]
Fig. 5.
Cross-linking in strains lacking an intact
SAGA complex. Immunoprecipitations were performed with the
-HA
antibody on cross-linked samples from wild-type and the indicated
mutant strains expressing the Gal (-) or Gal-VP plasmid (+) as well as
Myc-tagged versions of the indicated proteins. The resulting samples
were analyzed as described in Fig. 2. Variable amounts of each
immunoprecipitated sample were loaded so that each would contain
approximately equal levels of Gal or Gal-VP as assayed by the
-HA
Western blot.

View larger version (62K):
[in a new window]
Fig. 6.
Cross-linking as a function of formaldehyde
concentration. Proteins were cross-linked at the indicated
concentrations of formaldehyde, and immunoprecipitations were performed
with the
-HA antibody on samples from strains expressing the Gal
(-) or Gal-VP plasmid (+) as well as Myc-tagged versions of the
indicated proteins. The resulting samples were analyzed as described in
Fig. 2. The efficiency of the immunoprecipitation increases as the
concentration of formaldehyde is lowered, probably due to modification
of the HA epitope by formaldehyde.

View larger version (62K):
[in a new window]
Fig. 7.
Cross-linking of various activation domains
to TAF12 and TBP. Immunoprecipitations were performed with the
-HA antibody on cross-linked samples from strains expressing Gal4
derivatives containing the indicated activation domains (and control
proteins lacking the epitope tag or activation domain) as well as
Myc-tagged TBP. The resulting samples were analyzed as described in
Fig. 2. The levels of transcriptional activation (
-galactosidase
units) for each derivative are indicated.
![]()
DISCUSSION
TOP
ABSTRACT
INTRODUCTION
EXPERIMENTAL PROCEDURES
RESULTS
DISCUSSION
REFERENCES
| |
ACKNOWLEDGEMENTS |
|---|
This work was supported by a Helen Hay Whitney postdoctoral fellowship (to D. B. H.) and by Research Grant GM30186 (to K. S.) from the National Institutes of Health.
| |
FOOTNOTES |
|---|
* The costs of publication of this article were defrayed in part by the payment of page charges. The article must therefore be hereby marked "advertisement" in accordance with 18 U.S.C. Section 1734 solely to indicate this fact.
To whom correspondence should be addressed. Tel.: 617-432-2104;
Fax: 617-432-2529; E-mail: kevin@hms.harvard.edu.
Published, JBC Papers in Press, September 23, 2002, DOI 10.1074/jbc.M208911200
| |
ABBREVIATIONS |
|---|
The abbreviations used are: TBP, TATA-binding protein; TAFs, TBP-associated factors; HA, hemagglutinin.
| |
REFERENCES |
|---|
|
|
|---|
| 1. | Brent, R., and Ptashne, M. (1985) Cell 43, 729-736[CrossRef][Medline] [Order article via Infotrieve] |
| 2. | Hope, I. A., and Struhl, K. (1986) Cell 46, 885-894[CrossRef][Medline] [Order article via Infotrieve] |
| 3. | Ma, J., and Ptashne, M. (1987) Cell 48, 847-853[CrossRef][Medline] [Order article via Infotrieve] |
| 4. | Hope, I. A., Mahadevan, S., and Struhl, K. (1988) Nature 333, 635-640[CrossRef][Medline] [Order article via Infotrieve] |
| 5. | Ptashne, M. (1988) Nature 335, 683-689[CrossRef][Medline] [Order article via Infotrieve] |
| 6. | Struhl, K. (1989) Ann. Rev. Biochem. 58, 1051-1077[CrossRef][Medline] [Order article via Infotrieve] |
| 7. | Gill, G., and Ptashne, G. (1987) Cell 51, 121-126[CrossRef][Medline] [Order article via Infotrieve] |
| 8. |
Cress, W. D.,
and Triezenberg, S. J.
(1991)
Science
251,
87-90 |
| 9. |
Regier, J. L.,
Shen, F.,
and Triezenberg, S. J.
(1993)
Proc. Natl. Acad. Sci. U. S. A.
90,
883-887 |
| 10. | Drysdale, C. M., Duenas, E., Jackson, B. M., Reusser, U., Braus, G. H., and Hinnebusch, A. G. (1995) Mol. Cell. Biol. 15, 1220-1233[Abstract] |
| 11. |
Shen, F.,
Triezenberg, S. J.,
Hensley, P.,
Porter, D.,
and Knutson, J. R.
(1996)
J. Biol. Chem.
271,
4827-4837 |
| 12. |
Uesugi, M.,
Nyanguile, O., Lu, H.,
Levine, A. J.,
and Verdine, G. L.
(1997)
Science
277,
1310-1313 |
| 13. | Courey, A. J., and Tjian, R. (1988) Cell 55, 887-898[CrossRef][Medline] [Order article via Infotrieve] |
| 14. | Mermod, N., O'Neill, E. A., Kelly, T. J., and Tjian, R. (1989) Cell 58, 741-753[CrossRef][Medline] [Order article via Infotrieve] |
| 15. | Kuras, L., and Struhl, K. (1999) Nature 399, 609-612[CrossRef][Medline] [Order article via Infotrieve] |
| 16. | Li, X.-Y., Virbasius, A., Zhu, X., and Green, M. R. (1999) Nature 389, 605-609 |
| 17. | Cosma, M. P., Tanaka, T., and Nasmyth, K. (1999) Cell 97, 299-311[CrossRef][Medline] [Order article via Infotrieve] |
| 18. |
Kuras, L.,
Kosa, P.,
Mencia, M.,
and Struhl, K.
(2000)
Science
288,
1244-1248 |
| 19. |
Li, X.-Y.,
Bhaumik, S. R.,
and Green, M. R.
(2000)
Science
288,
1242-1244 |
| 20. | Reid, J. L., Iyer, V. R., Brown, P. O., and Struhl, K. (2000) Mol. Cell 6, 1297-1307[CrossRef][Medline] [Order article via Infotrieve] |
| 21. | Struhl, K. (1996) Cell 84, 179-182[CrossRef][Medline] [Order article via Infotrieve] |
| 22. | Ptashne, M., and Gann, A. (1997) Nature 386, 569-577[CrossRef][Medline] [Order article via Infotrieve] |
| 23. |
Bhaumik, S. R.,
and Green, M. R.
(2001)
Genes Dev.
15,
1935-1945 |
| 24. |
Larschan, E.,
and Winston, F.
(2001)
Genes Dev.
15,
1946-1956 |
| 25. | Stringer, K. F., Ingles, C. J., and Greenblatt, J. (1990) Nature 345, 783-786[CrossRef][Medline] [Order article via Infotrieve] |
| 26. | Ingles, C. J., Shales, M., Cress, W. D., Triezenberg, S. J., and Greenblatt, J. (1991) Nature 351, 588-590[CrossRef][Medline] [Order article via Infotrieve] |
| 27. | Lee, W. S., Kao, C. C., Bryant, G. O., Liu, X., and Berk, A. J. (1991) Cell 67, 367-376 |
| 28. | Goodrich, J. A., Hoey, T., Thut, C. J., Admon, A., and Tjian, R. (1993) Cell 75, 519-530[CrossRef][Medline] [Order article via Infotrieve] |
| 29. |
Thut, C. J.,
Chen, J. L.,
Klemm, R.,
and Tjian, R.
(1995)
Science
267,
100-104 |
| 30. | Kobayashi, N., Boyer, T. G., and Berk, A. J. (1995) Mol. Cell. Biol. 15, 6465-6473[Abstract] |
| 31. | Lin, Y.-S., Ha, I., Maldonado, E., Reinberg, D., and Green, M. R. (1991) Nature 353, 569-571[CrossRef][Medline] [Order article via Infotrieve] |
| 32. |
Xiao, H.,
Pearson, A.,
Coulombe, B.,
Truant, R.,
Zhang, S.,
Regier, J. L.,
Triezenberg, S. J.,
Reinberg, D.,
Flores, O.,
Ingles, C. J.,
and Greenblatt, J.
(1994)
Mol. Cell. Biol.
14,
7013-7024 |
| 33. |
Hengartner, C. J.,
Thompson, C. M.,
Zhang, J.,
Chao, D. M.,
Liao, S.-M.,
Koleske, A. J.,
Okamura, S.,
and Young, R. A.
(1995)
Genes Dev.
9,
897-910 |
| 34. | Natarajan, K., Jackson, B. M., Zhou, H., Winston, F., and Hinnebusch, A. G. (1999) Mol. Cell 4, 657-664[CrossRef][Medline] [Order article via Infotrieve] |
| 35. |
Lee, Y. C.,
Park, J. M.,
Min, S.,
Han, S. J.,
and Kim, Y. J.
(1999)
Mol. Cell. Biol.
19,
2967-2976 |
| 36. | Myers, L. C., and Kornberg, R. D. (2000) Annu. Rev. Biochem. 69, 729-749[CrossRef][Medline] [Order article via Infotrieve] |
| 37. |
Yudkovsky, N.,
Logie, C.,
Hahn, S.,
and Peterson, C. L.
(1999)
Genes Dev.
13,
2369-2374 |
| 38. | Neely, K. E., Hassan, A. H., Wallberg, A. E., Steger, D. J., Cairns, B. R., Wright, A. P., and Workman, J. L. (1999) Mol. Cell 4, 649-655[CrossRef][Medline] [Order article via Infotrieve] |
| 39. |
Drysdale, C. M.,
Jackson, B. M.,
Klebanow, E. R.,
Bai, Y.,
Kokubo, T.,
Swanson, M.,
Nakatani, Y.,
Weil, A.,
and Hinnebusch, A. G.
(1998)
Mol. Cell. Biol.
18,
1711-1724 |
| 40. | Utley, R. T., Ikeda, K., Grant, P. A., Cote, J., Steger, D. J., Eberharter, A., John, S., and Workman, J. L. (1998) Nature 394, 498-502[CrossRef][Medline] [Order article via Infotrieve] |
| 41. | Melcher, K. (2000) J. Mol. Biol. 301, 1097-1112[CrossRef][Medline] [Order article via Infotrieve] |
| 42. |
Brown, C. E.,
Howe, L.,
Sousa, K.,
Alley, S. C.,
Carrrozza, M. J.,
Tan, S.,
and Workman, J. L.
(2001)
Science
292,
2333-2337 |
| 43. |
Neely, K. E.,
Hassan, A. H.,
Brown, C. E.,
Howe, L.,
and Workman, J. L.
(2002)
Mol. Cell. Biol.
22,
1615-1625 |
| 44. | Koh, S. S., Ansari, A. Z., Ptashne, M., and Young, R. A. (1998) Mol. Cell 1, 895-904[CrossRef][Medline] [Order article via Infotrieve] |
| 45. |
Katan-Khaykovich, Y.,
and Struhl, K.
(2002)
Genes Dev.
16,
743-752 |
| 46. | Strasser, K., Masuda, S., Mason, P., Pfannstiel, J., Oppizzi, M., Rodriguez-Navarro, S., Rondon, A. G., Aguilera, A. A., Struhl, K., Reed, R., and Hurt, E. (2002) Nature 417, 304-308[CrossRef][Medline] [Order article via Infotrieve] |
| 47. | Proft, M., and Struhl, K. (2002) Mol. Cell. 9, 1307-1317[CrossRef][Medline] [Order article via Infotrieve] |
| 48. | Gietz, R. D., and Sugino, A. (1988) Gene 74, 527-534[CrossRef][Medline] [Order article via Infotrieve] |
| 49. |
Yocum, R. R.,
Hanley, S.,
West, R.,
and Ptashne, M.
(1984)
Mol. Cell. Biol.
4,
1985-1998 |
| 50. | Schneider, B. L., Seufert, W., Steiner, B., Yang, Q. H., and Futcher, A. B. (1995) Yeast 11, 1265-1274[CrossRef][Medline] [Order article via Infotrieve] |
| 51. |
Field, J.,
Nikawa, J.-I.,
Broek, D.,
MacDonald, B.,
Rodgers, L.,
Wilson, I. A.,
Lerner, R. A.,
and Wigler, M.
(1988)
Mol. Cell. Biol.
8,
2159-2165 |
| 52. | Sadowski, I., Ma, J., Triezenberg, S., and Ptashne, M. (1988) Nature 335, 563-564[CrossRef][Medline] [Order article via Infotrieve] |
| 53. | Berger, S. L., Pina, B., Silverman, N., Marcus, G. A., Agapite, J., Regier, J. L., Triezenberg, S. J., and Guarente, L. (1992) Cell 70, 251-265[CrossRef][Medline] [Order article via Infotrieve] |
| 54. |
Klein, C.,
and Struhl, K.
(1994)
Science
266,
280-282 |
| 55. |
Tora, L.
(2002)
Genes Dev.
16,
673-675 |
| 56. | Sanders, S. L., Garbett, K. A., and Weil, P. A. (2002) Mol. Cell. Biol. 16, 6000-6013 |
| 57. |
Eberharter, A.,
Sterner, D. E.,
Schieltz, D.,
Hassan, A.,
Yates, J. R., 3rd,
Berger, S. L.,
and Workman, J. L.
(1999)
Mol. Cell. Biol.
19,
6621-6631 |
| 58. | Roberts, S. M., and Winston, F. (1997) Genetics 147, 451-465[Abstract] |
| 59. |
Sterner, D. E.,
Grant, P. A.,
Roberts, S. M.,
Duggan, L. J.,
Beloserkovskaya, R.,
Pacella, L. A.,
Winston, F.,
Workman, J. L.,
and Berger, S. L.
(1999)
Mol. Cell. Biol.
19,
86-98 |
| 60. |
Dudley, A. M.,
Rougeulle, C.,
and Winston, F.
(1999)
Genes Dev.
13,
2940-2945 |
| 61. | Kuo, M.-H., vom Baur, E., Struhl, K., and Allis, C. D. (2000) Mol. Cell 6, 1309-1320[CrossRef][Medline] [Order article via Infotrieve] |
| 62. | Papamichos-Chronakis, M., Petrakis, T., Ktistaki, E., Topalidou, I., and Tzamarias, D. (2002) Mol. Cell. 9, 1297-1305[CrossRef][Medline] [Order article via Infotrieve] |
| 63. | Keaveney, M., and Struhl, K. (1998) Mol. Cell 1, 917-924[CrossRef][Medline] [Order article via Infotrieve] |
| 64. |
Nishikawa, J.,
Kokubo, T.,
Horikoshi, M.,
Roeder, R. G.,
and Nakatani, Y.
(1997)
Proc. Natl. Acad. Sci. U. S. A.
94,
85-90 |
| 65. |
Kotani, T.,
Banno, K.,
Ikura, M.,
Hinnebusch, A. G.,
Nakatani, Y.,
Kawaichi, M.,
and Kokubo, T.
(2000)
Proc. Natl. Acad. Sci. U. S. A.
97,
7178-7183 |
| 66. |
Hori, R.,
Pyo, S.,
and Carey, M.
(1995)
Proc. Natl. Acad. Sci. U. S. A.
92,
6047-6051 |
| 67. |
Tansey, W. P.,
and Herr, W.
(1995)
Proc. Natl. Acad. Sci. U. S. A.
92,
10550-10554 |
| 68. | Chou, S., and Struhl, K. (1997) Mol. Cell. Biol. 17, 6794-6802[Abstract] |
This article has been cited by other articles:
![]() |
G. Bjornsdottir and L. C. Myers Minimal components of the RNA polymerase II transcription apparatus determine the consensus TATA box Nucleic Acids Res., April 1, 2008; (2008) gkn130v1. [Abstract] [Full Text] [PDF] |
||||
![]() |
D. F. Tardiff, K. C. Abruzzi, and M. Rosbash Protein characterization of Saccharomyces cerevisiae RNA polymerase II after in vivo cross-linking PNAS, December 11, 2007; 104(50): 19948 - 19953. [Abstract] [Full Text] [PDF] |
||||
![]() |
N. Georgelis, E. L. Braun, J. R. Shaw, and L. C. Hannah The Two AGPase Subunits Evolve at Different Rates in Angiosperms, yet They Are Equally Sensitive to Activity-Altering Amino Acid Changes When Expressed in Bacteria PLANT CELL, May 1, 2007; 19(5): 1458 - 1472. [Abstract] [Full Text] [PDF] |
||||
![]() |
K. A. Garbett, M. K. Tripathi, B. Cencki, J. H. Layer, and P. A. Weil Yeast TFIID Serves as a Coactivator for Rap1p by Direct Protein-Protein Interaction Mol. Cell. Biol., January 1, 2007; 27(1): 297 - 311. [Abstract] [Full Text] [PDF] |
||||
![]() |
A. Kohler, P. Pascual-Garcia, A. Llopis, M. Zapater, F. Posas, E. Hurt, and S. Rodriguez-Navarro The mRNA Export Factor Sus1 Is Involved in Spt/Ada/Gcn5 Acetyltransferase-mediated H2B Deubiquitinylation through Its Interaction with Ubp8 and Sgf11 Mol. Biol. Cell, October 1, 2006; 17(10): 4228 - 4236. [Abstract] [Full Text] [PDF] |
||||
![]() |
S. Page, A. Judson, K. Melford, and A. Bensadoun Interaction of Lipoprotein Lipase and Receptor-associated Protein J. Biol. Chem., May 19, 2006; 281(20): 13931 - 13938. [Abstract] [Full Text] [PDF] |
||||
![]() |
C. Guerrero, C. Tagwerker, P. Kaiser, and L. Huang An Integrated Mass Spectrometry-based Proteomic Approach: Quantitative Analysis of Tandem Affinity-purified in vivo Cross-linked Protein Complexes (qtax) to Decipher the 26 s Proteasome-interacting Network Mol. Cell. Proteomics, February 1, 2006; 5(2): 366 - 378. [Abstract] [Full Text] [PDF] |
||||
![]() |
J. H. Kim, C. K. Yang, and M. R. Stallcup Downstream signaling mechanism of the C-terminal activation domain of transcriptional coactivator CoCoA. Nucleic Acids Res., January 1, 2006; 34(9): 2736 - 2750. [Abstract] [Full Text] [PDF] |
||||
![]() |
|