Originally published In Press as doi:10.1074/jbc.M207134200 on August 30, 2002
J. Biol. Chem., Vol. 277, Issue 45, 42456-42462, November 8, 2002
Intrinsically Slow Dynamic Instability of HeLa Cell
Microtubules in Vitro*
Cori N.
Newton
§,
Jennifer G.
DeLuca¶,
Richard H.
Himes
,
Herbert P.
Miller
,
Mary Ann
Jordan
, and
Leslie
Wilson
From the
Department of Molecular, Cellular, and
Developmental Biology, University of California, Santa Barbara,
California 93106 and the
Department of Molecular Biosciences,
University of Kansas, Lawrence, Kansas 66045
Received for publication, July 16, 2002, and in revised form, August 27, 2002
 |
ABSTRACT |
The dynamic behavior of mammalian microtubules
has been extensively studied, both in living cells and with
microtubules assembled from purified brain tubulin. To understand the
intrinsic dynamic behavior of mammalian nonneural microtubules, we
purified tubulin from cultured HeLa cells. We find that HeLa cell
microtubules exhibit remarkably slow dynamic instability, spending most
of their time in an attenuated state. The tempered dynamics contrast sharply with the dynamics of microtubules prepared from purified bovine
brain tubulin under similar conditions. In accord with their minimal
dynamic instability, assembled HeLa cell microtubules displayed a slow
treadmilling rate and a low guanosine-5'-triphosphate hydrolysis rate
at steady state. We find that unlike brain tubulin, which consists of a
heterogeneous mixture of
-tubulin isotypes (
II,
III, and
IV and a low level of
I), HeLa cell tubulin consists of
I
tubulin (~80%) and a minor amount of
IV tubulin (~20%). The slow dynamic behavior of HeLa cell microtubules in vitro differs strikingly from the dynamic behavior of
microtubules in living cultured mammalian cells, supporting the idea
that accessory factors create the robust dynamics that occur in cells.
 |
INTRODUCTION |
Microtubules are dynamic polymers that have important roles in
many eukaryotic cell processes including the development and maintenance of cell shape and polarity, vesicular transport, and chromosome movements during mitosis and meiosis (reviewed in Refs. 1
and 2). Many of the cellular functions of microtubules rely on their
unusual nonequilibrium polymerization dynamics, which facilitate the
ability of the microtubules to change their organization rapidly to
accommodate the needs of the cell. One such behavior is dynamic
instability, a process in which microtubule ends switch between periods
of growth, shortening (also called shrinking), and attenuation (3-5).
Another dynamic behavior, which occurs at or near polymer mass steady
state, is treadmilling, which involves net growth at the microtubule
plus ends and equivalent shortening at the minus ends (6-9). Extensive
studies have described the dynamic instability behavior of
microtubules, both in living cells (10-13) and in cell-free purified
systems (3-5).
Most studies on the dynamic instability behavior of microtubules
in vitro have been carried out with tubulin purified from mammalian brain tissue (3-5, 14). Such neural microtubules, when
assembled in the absence of microtubule-associated proteins (MAPs),1 undergo growth and
shortening dynamics that are qualitatively similar to the dynamic
instability behavior displayed by many microtubules in cells. Despite
the qualitative similarity, the dynamic instability behavior of neural
microtubules in vitro differs quantitatively from that
displayed by microtubules in cultured mammalian cells (10-13). The
rates of growth and shortening and especially the switching frequencies
among the growing, shortening, and attenuated states are considerably
slower for brain microtubules in vitro than with those
displayed by microtubules in cultured mammalian cells (reviewed in
Refs. 2 and 15). For example, microtubules in cultured pig kidney
LLCPK-1
cells grow at about 10-fold higher rates and they exhibit a
considerably higher frequency of switching from the growing or
attenuated state to rapid shortening (called the catastrophe frequency)
than purified brain microtubules (13). Similarly, the treadmilling
rates of brain microtubules in vitro are considerably lower
than those observed in cells (7, 9). The intrinsic dynamic instability
of microtubules in vitro from sources other than mammalian
brain also appear to be reduced in vitro as compared with
their dynamics in cells. These include microtubules assembled from
purified sea urchin egg tubulin (Strongylocentrotus purpuratus) and yeast (Saccharomyces cerevisiae)
tubulin (16-18).
Several possibilities could account for the reduced dynamics of
microtubules made from nonneural mammalian tubulin in vitro. One is that the solution conditions used in the in vitro
experiments are not optimal for obtaining rapid dynamics. However,
Simon et al. (16) studied the influence of solution
conditions on the dynamic instability of sea urchin microtubules
in vitro and concluded that the ambient ionic conditions of
the cytoplasm could not account for the fast elongation rates or high
catastrophe frequencies of microtubules found in living cells. Another
possibility is that the more rapid dynamics of microtubules displayed
in cells as compared with microtubules in vitro is because
of cellular factors that increase the dynamics of the microtubules
(e.g. catastrophe factors, Refs. 2, 15, and 19-22). This is
an attractive possibility that appears to occur in yeast. Differences
in tubulins cannot easily explain why microtubules in yeast cells are
much more dynamic than those formed from purified yeast tubulin
(18).
While microtubule dynamic instability has been well studied in living
mammalian-cultured cells, the dynamic properties of microtubules
composed solely of purified tubulin from such cells have not been
analyzed. To determine the intrinsic dynamics behavior of microtubules
assembled from nonneural mammalian cell tubulin, we characterized the
dynamic properties of microtubules assembled from highly purified HeLa
cell tubulin. We find that these microtubules display remarkably
limited dynamic instability and treadmilling behaviors when compared
with those of brain microtubules analyzed under identical conditions
in vitro. These data support the hypothesis that the rapid
dynamics of the microtubules observed in such cells are caused by
nontubulin regulatory factors.
 |
EXPERIMENTAL PROCEDURES |
Purification of HeLa Cell Tubulin--
HeLa cells were grown in
20-liter carboys on magnetic stir plates at 37 °C in medium
containing 50% Dulbecco's modified Eagle's medium and 50% F-12
medium supplemented with HEPES, glucose, NaHCO3, modified
Eagle's medium nonessential amino acids, penicillin, streptomycin, and
2% iron-supplemented calf serum (23). Cells were collected from
40-70-liter suspensions of exponentially growing cultures at a density
of ~106 cells/ml by centrifugation at 8000 rpm with a
continuous flow rotor adapter system as previously described (23). The
collected cells were washed once by resuspension in a buffer consisting of 50 mM PIPES, 1 mM EGTA, 1 mM
magnesium sulfate, 0.05% sodium azide, pH 6.9 (PEM50), and sedimented
in a tabletop clinical microcentrifuge (3000 x
g). The pellet was resuspended at a 1:1 ratio (v/v) of packed cells to PEM50 containing 1 mM DTT and a mixture of
protease inhibitors (2.5 µM
4-(2-aminoethyl)benzenesulfonyl fluoride, 1 µg/ml pepstatin A, 1 µg/ml leupeptin, 1 mM tosylarginine methyl ester, and 10 µg/ml aprotinin) (PEM50DP). The cells were then frozen dropwise in
liquid nitrogen and stored as long as 4 months at
70 °C.
Tubulin was purified from the HeLa cells by a protocol modified from
Sackett (24). Approximately 70 ml of packed frozen cells were thawed
and lysed by pulse sonication (Branson sonifier 450, Branson
Ultrasonics Corp., Danbury, CT) at low energy (20 watts) on ice. The
cell lysate was incubated on ice for 30 min to depolymerize the
microtubules. A clarified high speed supernatant (HSS) was prepared by
centrifugation of the lysate at 100,000 × g for 1 h at 4 °C. The HSS (~50-100 ml, 1.5-2 g of total protein) was
batch-absorbed to hydrated DEAE-cellulose (DE52, Whatman) at a ratio of
44 mg of HSS protein to 1 ml of packed DEAE-cellulose for 30 min at
4 °C on a tabletop rocker. The slurry was poured into a 2.5 × 50-cm column and the flow-through fraction was discarded. The column
was washed with 125 ml of PEM50DP and the flow-through fraction was
also discarded. The column was then washed with 125 ml of PEM100 (100 mM PIPES, 1 mM EGTA, 1 mM
MgSO4, 1 mM DTT, 0.05% sodium azide, pH 6.9)
and protease inhibitors (the same composition as in PEM50DP) containing
0.2 M sodium glutamate (0.2 M sodium glutamate/PEM100 buffer). The flow-through, which was discarded, contained weakly adsorbed contaminating proteins. Tubulin and other
bound proteins were then eluted and collected in 4-ml fractions with 1 M sodium glutamate/PEM100 buffer. Fractions containing 0.6 mg/ml protein or more were pooled, GTP was added to a final concentration of 1 mM and the solution was incubated for 30 min at 35 °C to polymerize the tubulin. The resulting microtubules were sedimented by centrifugation in a Beckman L5-50 ultracentrifuge (60 Ti rotor, 35 °C, 50,000 × g, 45 min). The
collected microtubules were then resuspended in 1-2 ml of PEM100
buffer and depolymerized on ice for 30 min with occasional
homogenization (approximately every 5 min) with a Dounce homogenizer.
The suspension was clarified by centrifugation in a Sorvall 5B Plus
Super Speed centrifuge (SS-34 rotor, 4 °C, 18,000 rpm, 10 min). The
clarified supernatant was frozen dropwise in liquid nitrogen and stored
at
70 °C. No contaminating nontubulin proteins were detected in
the final microtubule pellet, as evaluated by SDS-polyacrylamide gel
electrophoresis and staining with Coomassie Blue.
Purification of Microtubule Protein from Bovine
Brain--
Bovine brain microtubule protein (70-80% tubulin,
20-30% MAPs) and purified bovine brain tubulin were isolated
and stored as frozen drops in liquid nitrogen as previously described
(9).
Protein Determination--
Protein concentrations were
determined by the Bradford method using bovine serum albumin as the
standard (25).
Determination of the Critical Tubulin Concentration--
HeLa
cell tubulin at various total protein concentrations in PEM100 buffer
containing 1 mM GTP and 1 mM DTT was incubated at 35 °C for 45 min. The microtubules were separated from soluble tubulin by centrifugation at 50,000 rpm in a Beckman Optima MAX ultracentrifuge (TLA, 100.3 rotor) for 45 min. Supernatants were removed and the protein concentrations were determined. The polymer mass at each protein concentration was determined by subtracting the
tubulin concentration remaining in the supernatant from the total
starting protein concentration. The steady-state critical concentration
was determined as described by Detrich and Wilson (26).
Analysis of the Dynamic Instability of HeLa Cell and Bovine Brain
Microtubules by Video Microscopy--
Highly purified HeLa cell
tubulin (7.7 µM), or bovine brain tubulin (14 µM) was mixed with axonemal seeds prepared from
Strongylocentrotus purpuratus sperm in a buffer consisting
of 87 mM PIPES, 36 mM MES, 1.4 mM
MgCl2, 1 mM EGTA, 1 mM DTT, and 1 mM GTP, pH 6.9 (PMEM buffer). Tubulin was polymerized for
30 min at 35 °C to reach steady state prior to analysis. For video
microscopy, 2-µl samples were applied to glass microscope slides and
placed on a preheated (35 °C) microscope stage. The dynamic
instability behavior of the microtubules was imaged by video-enhanced
differential interference contrast microscopy using a Zeiss IM35
inverted microscope with a 63× (1.4 numerical aperture) oil
immersion objective. Growth of the brain microtubules occurred at both
the plus and minus ends of the axonemes. The plus ends of brain
microtubules were distinguished from the minus ends by their higher
growth rates, greater excursion lengths, and larger number of
microtubules per axoneme end as previously reported (5, 27). In
contrast, HeLa cell microtubule growth occurred predominantly at one
end of the seeds. Because of the long lengths of the microtubules at
one end, and the small number of short microtubules that formed at the
opposite ends of the seeds, we assumed that the long microtubules had
grown from the plus ends of the seeds. Samples on the slides were
recorded for a maximum of 35 min, and individual microtubules were
recorded and analyzed between 2 and 10 min.
Microtubule images were captured in real-time and recorded on super VHS
videotape. The microtubule lengths were measured every 3 s and
analyzed using the Real Time Measurement program (Neal Gliksman and
E. D. Salmon, University of North Carolina, Chapel Hill, NC).
Growth and shortening events were determined by least squares
regression of life history plots of microtubule length versus time. A microtubule was considered to be in a growth
phase if the increase in length was greater than 0.2 µm at a rate
greater than 0.10 µm/min. A microtubule was considered to be in a
shortening phase when its shortening rate was >0.30 µm/min and its
length changed by >0.2 µm. A microtubule was considered to be in an
attenuated (paused) state when the change in length was
0.2 µm with
a duration >30 s.
Determination of Treadmilling Rates--
The treadmilling rates
of HeLa cell microtubules and MAP-rich bovine brain microtubules were
determined at polymer mass steady state by measuring the rate of
[3H]GTP incorporation into the polymers. HeLa cell
tubulin and bovine brain microtubule protein (35 µM) were
polymerized at 35 °C for 30 min in PEM100 buffer containing 0.1 mM GTP, 1 mM DTT, and a GTP regenerating system
(1 unit/ml acetate kinase and 10 mM acetylphosphate). At
steady state, the suspension was divided into 125-µl aliquots in
1.5-ml microtubes for the individual pulse time points and incubated
for an additional 15 min to re-establish steady state. Each sample was
pulsed with 5 µl of [3H]GTP, begining with the 60-min
time sample, followed at the appropriate time with the 30-, 20-, and
10- min samples. At the end of the total 60-min pulse, all samples were
centrifuged simultaneously for 60 min at 35,000 rpm (35 °C) in a
Beckman Optima MAX ultracentrifuge (TLA 100.3 rotor) to collect the
microtubule pellets. An aliquot (50 µl) of each supernatant was
removed to determine the specific activity of the
[3H]GTP. Pellets were gently washed with 1 ml of 30%
sucrose in PEM100 buffer, resuspended in the PEM100 buffer, and
incubated on ice at 0 °C overnight to disassemble the microtubules.
The protein concentration and the amount of [3H]GTP
incorporation were determined for each microtubule pellet. To determine
the incorporation rate per microtubule, samples were removed prior to
pulsing to determine the mean microtubule length by electron microscopy
as described below. Background levels of [3H]GTP were
determined in tubulin samples incubated at 0 °C in the presence of
10 µM podophyllotoxin to prevent any microtubule polymerization. The treadmilling rate was determined by linear regression analysis of the incorporation data.
Determination of the Steady-state GTP Hydrolysis Rate--
The
rate of GTP hydrolysis per microtubule at steady state was determined
using a malachite green assay (29) as described by Panda et
al. (14). HeLa cell and brain tubulin (35 µM) were polymerized separately at 35 °C in PMEM buffer containing 1 mM GTP. At the appropriate times following establishment of
steady state (30-60 min), samples were removed and added to 70%
perchloric acid to achieve a final perchloric acid concentration of
7%. Samples were then incubated on ice for 20 min after which
precipitated protein was sedimented by centrifugation for 4 min in a
tabletop Biofuge A centrifuge. The supernatants were removed and
aliquots were added to a solution of malachite green/ammonium
molybdate. After 1 min, sodium citrate was added (final concentration
of 10.2%) and the absorbance at 650 nm was measured after an
additional 30 min. To determine the microtubule polymer mass, 100 µl
of a polymerization reaction was centrifuged in a Beckman Optima MAX ultracentrifuge (50,000 rpm, 35 °C, 40 min). The supernatants were
collected and protein concentrations were determined. The polymer mass
was calculated by subtracting the supernatant concentration from the
starting protein concentration.
Microtubule mean lengths and number concentrations were determined by
electron microscopy (14). Briefly, samples of the microtubule
suspensions were diluted into 0.2% glutaraldehyde, applied to grids,
stained with 1% uranyl acetate, and viewed with a Jeol JEM-1230
electron microscope at ×2000 magnification. Mean microtubule lengths
were determined with a Zeiss MOPIII program (more than 100 microtubules/sample were measured). The microtubule number
concentration was then calculated from the mean length of the
microtubules, the polymer mass, and a value of 1690 tubulin dimers/µm
of microtubule length (14).
Determination of the
-Tubulin Isotype Composition--
The
-tubulin isotype composition was determined both for tubulin in the
clarified HeLa cell extracts and for the purified protein. Samples of
HeLa cell clarified extracts and purified HeLa cell tubulin were
analyzed by SDS-polyacrylamide gel electrophoresis and immunoblotting
with specific
-tubulin monoclonal antibodies (
I,
II,
III, and
IV;
generously provided by Dr. Richard Luduena, University of Texas Health
Science Center, San Antonio, TX). Densitometric analysis was used to
evaluate differences in protein levels of the samples (Alpha Imager
program, Alpha Innotech Corp., San Leandro, CA).
 |
RESULTS |
Purification and Characterization of HeLa Cell Tubulin--
To
characterize the steady-state dynamic behavior of HeLa cell
microtubules in vitro, milligram quantities of tubulin in a highly purified form had to be prepared. This was accomplished by
growing large volumes of HeLa cells in suspension (23) and using a
protocol modified from that described by Sackett (24) to purify the
tubulin (see "Experimental Procedures"). Packed cells obtained from
70 liters of HeLa cell suspension were quick frozen in liquid nitrogen,
thawed, lysed, and a HSS fraction was prepared (Fig.
1, lane 2). A slurry of
DEAE-cellulose was added to the HSS and packed into a column, after
which the column was washed (Fig. 1, lanes 3 and
4). Tubulin was eluted from the resin with 1.0 M
sodium glutamate/PEM100 buffer (Fig. 1, lane 5). Tubulin was
further purified to homogeneity by a single cycle of warm assembly-cold
disassembly (Fig. 1, lane 7). All detectable contaminating proteins remained in the warm supernatant and none were detected in the
tubulin fraction (Fig. 1, lane 6). The highly purified HeLa
cell tubulin polymerized efficiently at 35 °C with a low critical
subunit concentration as shown in Fig. 2.
The critical concentration of the HeLa cell tubulin was 0.3 mg/ml (mean
of three experiments). This value is comparable with the value of 0.5 mg/ml previously reported in a HeLa cell extract (30).

View larger version (71K):
[in this window]
[in a new window]
|
Fig. 1.
Purification of HeLa cell tubulin by column
chromatography and microtubule assembly and disassembly. A
Coomassie Blue-stained SDS-PAGE gel shows the purification steps.
Lane 1, molecular mass standards (kilodaltons); lane
2, clarified HSS; lane 3, initial DE-52 column
flow-through; lane 4, 0.2 M sodium
glutamate/PEM100 eluate; lane 5, 1 M sodium
glutamate/PEM100 eluate; lane 6, warm supernatant after
removal of the assembled microtubules; lane 7, 15 µg of
purified HeLa cell tubulin after one cycle of assembly and
disassembly.
|
|

View larger version (14K):
[in this window]
[in a new window]
|
Fig. 2.
Critical concentration of purified HeLa cell
microtubules. HeLa cell tubulin was incubated for 45 min at
35 °C at the indicated initial total concentrations in PEM100 plus 1 mM GTP. Microtubule polymer was separated from soluble
tubulin dimer by centrifugation and the protein concentrations in the
supernatants were determined. The polymer concentrations (open
circles) were determined by subtracting the supernatant
concentration (closed circles) at each total tubulin
concentration analyzed from the initial tubulin concentration. The
average critical concentration was 0.3 mg/ml, as determined by
extrapolation of the x intercept of the linear regression of
polymer mass (three independent experiments).
|
|
Steady-state Dynamic Instability at Plus Ends of HeLa Cell
Microtubules--
One of our goals was to analyze the steady-state
dynamic instability of highly purified HeLa cell microtubules and to
compare the behavior with that of purified brain microtubules. The plus end dynamics of individual HeLa cell microtubules were examined at
steady state (35 °C) by video-enhanced DIC microscopy (see "Experimental Procedures") using PMEM buffer, a buffer previously used for analysis of brain microtubule dynamics (27, 31). Several
life-history traces showing the changes in length of HeLa cell
microtubules with time are shown in Fig.
3. The HeLa cell microtubules exhibited
minimal dynamic instability. It is clear that they grew very slowly,
rarely transitioned to rapid shortening, and spent a majority of the
time in an attenuated (paused) state. In contrast, and similar to
previous studies with bovine brain microtubules (27, 31), purified
bovine brain microtubules displayed robust growing and shortening
dynamics (Fig. 3).

View larger version (33K):
[in this window]
[in a new window]
|
Fig. 3.
Life-history traces of microtubules at their
plus ends. Panel A, HeLa cell microtubules; panel
B, bovine brain microtubules. Growing and shortening length
changes for a number of individual axoneme-seeded HeLa cell (7.7 µM tubulin) and bovine brain (14 µM
tubulin) microtubules are shown.
|
|
The individual dynamic instability parameters determined from
life-history plots both of HeLa cell microtubules and bovine brain
microtubules are shown in Table I. When
HeLa cell microtubules did grow, their growth rate was slow (0.2 µm/min), 33% of the rate of bovine brain microtubules. When HeLa
cell microtubules shortened, their shortening rate was also very slow
(7.8 µm/min), ~40% of the shortening rate of brain microtubules.
The HeLa cell microtubules spent only 15% of their total time growing
or shortening. In comparison, bovine brain microtubules spent 72% of
their total time growing or shortening. In addition, the catastrophe
frequency of HeLa cell microtubules was exceedingly low, with only 5 transitions to shortening observed for the 29 microtubules analyzed
(172 min of total time analyzed). The catastrophe frequency (number of transitions per min of total time the microtubules spent growing and in
the attenuated state) was only 0.02 events/min, a value only 13% of
that for bovine brain microtubules. In contrast to bovine brain
microtubules, every shortening event observed for HeLa cell
microtubules was rescued, and the rescue frequency of HeLa cell
microtubules was 3.7-fold higher than that of bovine brain
microtubules. The dynamicity of HeLa cell microtubules (total detectable tubulin dimer exchange expressed in terms of µm/min) was
only 4% that of brain microtubules. Thus, it is clear that HeLa cell
microtubules in vitro exhibit minimal dynamic instability as
compared with brain microtubules in vitro. Moreover, their dynamics are highly attenuated as compared with the dynamics of microtubules in living cultured mammalian cells (10-13).
View this table:
[in this window]
[in a new window]
|
Table I
Dynamic instability parameters of HeLa cell and bovine brain
microtubules
Microtubules assembled with HeLa cell tubulin (n = 29)
and MAP-free bovine brain tubulin (n = 16) were
measured for 172 and 85 min in equivalent dynamic conditions. Values
are shown as mean ± S.E.
|
|
Steady-state Treadmilling Rate of HeLa Cell Microtubules--
In
an effort to further understand the dynamic properties of purified HeLa
microtubules we also evaluated their treadmilling behavior. The
treadmilling behavior of HeLa cell microtubules was determined by
pulsing the microtubules at steady state with [3H]GTP.
The linear incorporation of [3H]GTP into HeLa cell
microtubules in a typical experiment is shown in Fig.
4. In this experiment the treadmilling
rate was 167 dimers/microtubule/min or 5.93 µm/h. The mean rate for
three replicate experiments was 148 dimers/microtubule/min (5.26 ± 1.58 µm/h). The treadmilling rate of the MAP-free HeLa cell
microtubules was only 2.1-fold faster than that of MAP-rich bovine
brain microtubules (2.49 ± 1.03 µm/h), which treadmill
extremely slowly because of their high MAP content (9). These data
further illustrate the limited dynamic behavior of the purified HeLa
cell microtubules.

View larger version (13K):
[in this window]
[in a new window]
|
Fig. 4.
Treadmilling rate of HeLa cell microtubules
at steady state. The treadmilling rate was determined by measuring
the rate of [3H]GDP incorporation into the steady-state
microtubules as described under "Experimental Procedures." The rate
of incorporation was 167 tubulin dimers per microtubule per min. For
the experiment shown, the microtubule number concentration was
5.94 × 10 10 M. The incorporation rate
was calculated by dividing the tubulin concentration (in moles per
liter) by the mean microtubule length (µm) × 1690 tubulin
dimers per µm.
|
|
Steady-state GTP Hydrolysis Rate of HeLa Cell
Microtubules--
The rate of GTP hydrolysis at steady state in a
microtubule suspension is an indication of the amount of dynamic
behavior occurring at the ends of the microtubules. Relatively
nondynamic microtubules would be expected to have a low GTP hydrolysis
rate, whereas dynamic microtubules would be expected to have a high GTP
hydrolysis rate. Thus, we measured the steady-state rate of GTP
hydrolysis of the HeLa cell microtubules. The cumulative number of
orthophosphate (Pi) molecules released with time per
microtubule is plotted for a typical experiment in Fig.
5. The hydrolysis rate per microtubule
determined for the experiment shown in Fig. 5 was 1610 molecules of
Pi per microtubule per min. This rate was only ~13% that
of MAP-free bovine brain microtubules under the same conditions (Fig.
5, 12,800 molecules of Pi per microtubule per min). The
mean GTP hydrolysis rate of the HeLa cell microtubules was 1390 ± 340 molecules of Pi per microtubule per min from four replicate experiments and for brain microtubules (three independent experiments) the rate was 9060 ± 3240 molecules of Pi
per microtubule per min.

View larger version (15K):
[in this window]
[in a new window]
|
Fig. 5.
Steady-state rate of Pi formation
per microtubule for HeLa cell and bovine brain microtubules.
Microtubules were assembled to steady state in PMEM buffer (plus 1 mM GTP) for 30 min after which the evolution of
Pi was measured ("Experimental Procedures"). The rate
of Pi release per microtubule in the HeLa cell microtubule
suspension (circles) and the bovine brain microtubule
suspension (squares) was 1610 and 12,800 molecules of
Pi per microtubule per min, respectively. The mean lengths
of the microtubules were 14.2 ± 9.5 (µm) for HeLa cell
microtubules and 25.9 ± 17.7 (µm) for brain microtubules. The
mean microtubule number concentrations were 1.16 (nM)
(2.79 × 10 5 M tubulin) and 0.34 (nM) (1.47 × 10 5 M
tubulin), for HeLa cell microtubules and bovine brain microtubules,
respectively.
|
|
Tubulin Isotype Compositions of Tubulin in High Speed HeLa Cell
Extracts and Purified HeLa Cell Tubulin--
The foregoing data
demonstrate that highly purified tubulin from HeLa cells and from
bovine brain polymerize into microtubules that have remarkably
different dynamic properties. One possible explanation for the
differences in their dynamics may be because of differences in their
isotype compositions. Purified bovine brain tubulin consists of 58%

II, 25% 
III, 14%

IV, and only 3% 
I (32). Thus, we
analyzed the
-tubulin isotype composition of purified
HeLa cell tubulin by Western blot analysis with antibodies specific for
I,
II,
III, and
IV tubulin (see "Experimental Procedures"). Only the
I and
IV isotypes were detected in the purified HeLa tubulin preparation (Fig.
6A), whereas in contrast, purified bovine brain tubulin contained all four isotypes (Fig. 6A) as previously reported (32). Densitometric analysis of
the blots suggest that the purified HeLa tubulin consists of ~80%
/
I tubulin and ~20%
/
IV
tubulin.

View larger version (39K):
[in this window]
[in a new window]
|
Fig. 6.
Determination of the
-tubulin isotype composition of HeLa cell and
bovine brain tubulins by Western blotting with
anti- -tubulin-specific antibodies
("Experimental Procedures"). A, -isotype
composition of purified HeLa and brain tubulin. B,
-tubulin isotype composition of clarified HeLa cell extracts (HSS).
The quantity of protein loaded in each lane is shown. The brain and
HeLa cell tubulin blots in B are shown as positive
controls.
|
|
We also wanted to ensure that the purified HeLa cell
-tubulin
isotype composition did not represent a selective enrichment of the two
-tubulin isotypes because of the purification procedure. Thus, we
probed the clarified HeLa cell extracts (HSS) with the
-specific
antibodies (Fig. 6B) and detected the
I and
IV isotypes as the predominant species. While the
III isotype could be faintly detected on heavily
overloaded gels, the data suggest that microtubules in HeLa cells are
largely composed of 
I and 
IV.
 |
DISCUSSION |
Slow Dynamic Instability and Treadmilling Behavior of Microtubules
Prepared from Purified HeLa Cell Tubulin in Vitro--
We have
characterized the dynamic instability and treadmilling behaviors at
steady state in vitro using defined solution conditions of
microtubules composed of highly purified HeLa cell tubulin. We found
that the dynamic instability is remarkably attenuated as compared with
the dynamic instability of microtubules made from highly purified
MAP-free brain microtubules in vitro. Specifically, the
total tubulin subunit exchange based upon detectable growth and
shortening behavior (the dynamicity) at the plus ends of the HeLa cell
microtubules was 0.05 µm/min, a value that is 96% lower than the
dynamicity of bovine brain microtubules under equivalent conditions
(Table I). During the entire time the HeLa cell microtubules were
analyzed (29 microtubules over a total observation time of 172 min), we
only observed five transitions from the growing or attenuated state to
shortening (catastrophes), which yielded a catastrophe frequency of
only 0.02/min. This value is 87% lower than that observed for bovine
brain microtubules under similar conditions (Table I). The purified
HeLa cell microtubules also exhibited a relatively slow intrinsic
steady-state treadmilling rate (~5.3 µm/h). This rate was only
~2-fold faster than that of brain microtubules containing a high
content (30%) of stabilizing MAPs (data not shown), which strongly
suppress treadmilling (9).
The purified HeLa cell tubulin was devoid of detectable contaminating
proteins as determined by Coomassie Blue staining on heavily overloaded
SDS-polyacrylamide gels (Fig. 1). It polymerized efficiently in the
complete absence of detectable MAPs, and it assembled and disassembled
efficiently when subjected to cycles of warm assembly-cold disassembly
(data not shown). The critical concentration was 0.3 mg/ml (Fig. 2), a
concentration that is considerably lower than that of brain tubulin
(e.g. 1.2 mg/ml) (33). Interestingly, the low critical
subunit concentration for HeLa cell microtubules is in the same range
as the critical subunit concentrations reported for a number of other
nonneural MAP-free tubulins including chick erythrocyte tubulin, sea
urchin egg tubulin (S. purpuratus), clam egg tubulin,
(Spisula solidissima), and yeast tubulin
(Saccharomyces cerevisiae) (18, 34-37). These data indicate
that purified HeLa cell microtubules and microtubules from other
sources are intrinsically less dynamic than microtubules assembled from
neural tubulin.
In accord with their suppressed dynamic instability
behavior, the steady-state rate of GTP hydrolysis of the HeLa cell
microtubules, which is due primarily to tubulin exchange at the ends of
the microtubules, was low. Specifically, the mean rate of GTP
hydrolysis was 1390 molecules of GTP per microtubule per min, whereas
for brain microtubules, the value under similar conditions was almost 7-fold higher at 9060 molecules of GTP hydrolyzed per min per microtubule (Fig. 5). Because the HeLa cell microtubules did treadmill at a rate of 5.3 µm/h, the treadmilling behavior must have accounted for a fraction (5 times 1690 = 9000 mol of GTP hydrolyzed per h,
or ~10%) of the observed steady-state rate of GTP hydrolysis.
The steady-state GTP hydrolysis rate of the HeLa cell microtubules was
comparable with that of bovine brain microtubules in the presence of
89% D2O (805 molecules of GTP per microtubule per min),
which reduced the dynamicity of the MAP-free brain microtubules more
than 10-fold (14). The steady-state GTP hydrolysis rate of the HeLa
cell microtubules was also similar to that of yeast microtubules
in vitro, which also display highly, attenuated dynamic instability behavior (17, 38).
Why Do Purified HeLa Cell Microtubules Display Such Slow Dynamics
Compared with Purified Brain Microtubules?--
Both the HeLa cell
microtubules and the bovine brain microtubules analyzed in this study
were made from highly purified tubulins. Furthermore, the dynamic
behaviors of the two kinds of microtubules were analyzed under
identical experimental conditions. Thus, it is unlikely that the
tempered dynamics of the HeLa cell microtubules as compared with that
of brain microtubules could have been because of the presence of
stabilizing MAPs. One difference between the HeLa cell and bovine brain
microtubules that could be responsible for the differences in their
dynamics is their
-tubulin isotype compositions. By Western blot
analysis we found that the purified HeLa tubulin is composed of ~80%

I and 20% 
IV tubulin (Fig. 6).
This isotype composition is significantly different from
that of the purified brain microtubules, which consist of a more
heterogeneous mixture of
-tubulin isotypes, predominantly 58%

II, 25% 
III, and 14%

IV tubulin and 3% 
I tubulin (32)
(Fig. 6). Previous evidence has shown microtubules made from different
-tubulin isotypes have different polymerization properties and
exhibit different degrees of dynamic instability behavior (39-42). For example, microtubules composed of 
III tubulin are
more dynamic than unfractionated neural tubulin or microtubules
composed of only 
II or 
IV (42). In
addition, 
III tubulin has an ~2-fold higher
critical concentration for polymerization than do 
II or 
IV tubulins (41). Because HeLa cell tubulin
consists largely of 
I tubulin, it seems possible that
the suppressed dynamics of the HeLa cell microtubules could be because
of its high 
I tubulin content.
However, other possibilities besides differences in the isotype
compositions also exist. For example, it is well known that tubulins
are subjected to a large number of post-translational modifications
including tyrosination and detyrosination at the C terminus of
-tubulin, acetylation, glycylation, phosphorylation, and
polyglutamylation (reviewed in Ref. 43). Such modifications could well
be responsible for, or at least contribute to, the slow dynamics of the
HeLa cell microtubules as compared with the brain microtubules.
Regulation of Microtubule Dynamics in Cultured Mammalian
Cells--
It is curious that in contrast with microtubules made from
purified mammalian brain tubulin, microtubules assembled from most other tubulins examined to date exhibit more or less limited dynamic instability behavior in vitro. These include microtubules
assembled from purified sea urchin egg, chicken erythrocyte, and
S. cerevisiae tubulins (16-18, 44). It is also curious that
dynamics of microtubules made from HeLa cell tubulin or brain tubulin
are slower than those of microtubules in living mammalian cells (2,
15). These data may indicate that the tubulin backbone of microtubules,
whereas having intrinsic dynamic instability capability, may by itself, display only limited dynamics. If so, this would mean that cellular factors (e.g. catastrophe factors) are necessary to create
the robust dynamic instability behavior of the highly dynamic
microtubules observed in vivo. This idea is supported by the
work of Simon et al. (16) in which the dynamic instability
behavior of microtubules assembled in sea urchin extracts
was compared with the dynamic instability of microtubules assembled
from purified sea urchin tubulin reconstituted in extracts that were
devoid of proteins above 30,000 daltons. The microtubules assembled in
the filtered extracts exhibited similar dynamic instability behavior to
those of microtubules assembled with purified sea urchin tubulin in standard buffer conditions, suggesting that the rapid microtubule dynamics observed in sea urchin extracts were because of
proteins larger than 30,000 daltons (16). More recently,
identification and characterization of microtubule regulatory factors
has fortified this idea (45, 46). In particular, immunodepletion from
Xenopus extracts of XMAP215, a microtubule-stabilizing
factor, or XKCM1, a destabilizing factor, revealed that microtubule
dynamics in the extracts is modulated by the antagonistic activities of
these factors (45, 46).
It is interesting that microtubules assembled from purified brain
tubulin are so much more dynamic than those assembled from HeLa cell
tubulin because in neuronal processes, the microtubules are relatively
non-dynamic (28, 47), whereas in dividing cells, the microtubules are
relatively dynamic (10-13). One possibility is that neuronal
microtubules are regulated differently than HeLa cell microtubules.
Perhaps in the axons of neuronal cells, the tubulin backbone of the
microtubules have intrinsically robust dynamics, but that the dynamics
are maintained in a relatively suppressed state by stabilizing MAPs
such as MAP2 and tau. However, in the growth cone where robust dynamics
are required, the intrinsic dynamic instability behavior is unmasked by
inactivation (phosphorylation?) of the stabilizing MAPs. In contrast in
HeLa cells, rapid dynamics can be created, as during mitosis, by
transiently acting factors that increase the dynamics. Another
possibility is that the intrinsic dynamic instability behavior of the
tubulin backbone of microtubules from various sources is of little
functional consequence, and that the dynamics of the microtubules are
determined solely by regulatory factors. If true, isolation and
mechanistic characterization of the activities of these factors should
lead to a greatly improved understanding of how microtubule dynamics,
and thus, dynamics-dependent microtubule function, is
controlled in cells.
 |
ACKNOWLEDGEMENTS |
We thank Dr. Richard Luduena (University of
Texas Health Science Center, San Antonio) for providing the
-tubulin
isotype antibodies, and Dr. Douglas Thrower and Kathy Mitchelson Kamath for critically reading the manuscript.
 |
FOOTNOTES |
*
This work was supported in part by United States Public
Health Service Grants NS13560 and CA57291, University of California Biotechnology Research and Teaching Program Grant 99-14, and the Materials Research Laboratory Program of the National Science Foundation under Award DMR00-80034.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. E-mail:
newton@lifesci.ucsb.edu.
¶
Current address: Dept. of Biology, University of North
Carolina, Chapel Hill, NC 27599.
Published, JBC Papers in Press, August 30, 2002, DOI 10.1074/jbc.M207134200
 |
ABBREVIATIONS |
The abbreviations used are:
MAPs, microtubule-associated proteins;
PIPES, 1,4-piperazinediethanesulfonic
acid;
DTT, dithiothreitol;
HSS, high speed supernatant;
MES, 2-(N-morpholino)ethanesulfonic acid.
 |
REFERENCES |
| 1.
|
Hyams, J. S.,
and Lloyd, C. W.
(1994)
Mod. Cell Biol.
13,
1-439
|
| 2.
|
Desai, A.,
and Mitchison, T. J.
(1997)
Annu. Rev. Cell Dev. Biol.
13,
83-117[CrossRef][Medline]
[Order article via Infotrieve]
|
| 3.
|
Mitchison, T.,
and Kirschner, M.
(1984)
Nature
312,
237-242[CrossRef][Medline]
[Order article via Infotrieve]
|
| 4.
|
Horio, T.,
and Hotani, H.
(1986)
Nature
321,
605-607[CrossRef][Medline]
[Order article via Infotrieve]
|
| 5.
|
Walker, R. A.,
O'Brien, T. O.,
Pryer, N. K.,
Soboeiro, M. F.,
Voter, W. A.,
Erickson, H. P.,
and Salmon, E. D.
(1988)
J. Biol. Chem.
107,
1437-1448
|
| 6.
|
Margolis, R. L.,
and Wilson, L.
(1978)
Cell
13,
1-8[CrossRef][Medline]
[Order article via Infotrieve]
|
| 7.
|
Rodionov, V. L.,
and Borisy, G. G.
(1997)
Science
275,
215-218[Abstract/Free Full Text]
|
| 8.
|
Margolis, R. L.,
and Wilson, L.
(1998)
Bioessays
20,
830-836[CrossRef][Medline]
[Order article via Infotrieve]
|
| 9.
|
Panda, D.,
Miller, H. P.,
and Wilson, L.
(1999)
Proc. Natl. Acad. Sci. U. S. A.
96,
12459-12464[Abstract/Free Full Text]
|
| 10.
|
Cassimeris, L.,
Pryer, N. K.,
and Salmon, E. D.
(1988)
J. Cell Biol.
107,
2223-2231[Abstract/Free Full Text]
|
| 11.
|
Hayden, J. H.,
Bowser, S. S.,
and Rieder, C. L.
(1990)
J. Cell Biol.
111,
1039-1045[Abstract/Free Full Text]
|
| 12.
|
Verde, F.,
Labbe, J.,
Doree, M.,
and Karsenti, E.
(1990)
Nature
343,
233-238[CrossRef][Medline]
[Order article via Infotrieve]
|
| 13.
|
Rusan, N. M.,
Fagerstrom, C. J.,
Yvon, A. C.,
and Wadsworth, P.
(2001)
Mol. Biol.
12,
971-980
|
| 14.
|
Panda, D.,
Chakrabarti, G.,
Hudson, J.,
Pigg, K.,
Miller, H. P.,
Wilson, L.,
and Himes, R. H.
(2000)
Biochemistry
39,
5075-5081[CrossRef][Medline]
[Order article via Infotrieve]
|
| 15.
|
Cassimeris, L.
(1993)
Cell Motil. Cytoskeleton
26,
275-281[CrossRef][Medline]
[Order article via Infotrieve]
|
| 16.
|
Simon, J. R.,
Parsons, S. F.,
and Salmon, E. D.
(1992)
Cell Motil. Cytoskeleton
21,
1-14[CrossRef][Medline]
[Order article via Infotrieve]
|
| 17.
|
Davis, A.,
Sage, C. R.,
Wilson, L.,
and Farrell, K. W.
(1993)
Biochemistry
32,
8823-8835[CrossRef][Medline]
[Order article via Infotrieve]
|
| 18.
|
Gupta, M. L.,
Bode, C. J.,
Thrower, D. A.,
Pearson, C. G.,
Suprenant, K. A.,
Bloom, K. S.,
and Himes, R. H.
(2002)
Mol. Biol. Cell
13,
2919-2932[Abstract/Free Full Text]
|
| 19.
|
McNally, F. J.
(1996)
Mol. Cell Biol.
8,
23-29
|
| 20.
|
Anderson, S. S. L.
(1999)
BioEssays
21,
53-60[CrossRef][Medline]
[Order article via Infotrieve]
|
| 21.
|
Cassimeris, L.
(1999)
Curr. Opin. Cell Biol.
11,
134-141[CrossRef][Medline]
[Order article via Infotrieve]
|
| 22.
|
Kinoshita, K.,
Arnal, I.,
Desai, A.,
Drechsel, D. N.,
and Hyman, A. A.
(2001)
Science
294,
1340-1343[Abstract/Free Full Text]
|
| 23.
|
DeLuca, J. D.,
Newton, C. N.,
Himes, R. H.,
Jordan, M. A.,
and Wilson, L.
(2001)
J. Biol. Chem.
276,
28014-28021[Abstract/Free Full Text]
|
| 24.
|
Sackett, D. L.
(1995)
Anal. Biochem.
228,
343-348[CrossRef][Medline]
[Order article via Infotrieve]
|
| 25.
|
Bradford, M. M.
(1976)
Anal. Biochem.
72,
248-254[CrossRef][Medline]
[Order article via Infotrieve]
|
| 26.
|
Detrich, H. W., III,
and Wilson, L.
(1983)
Biochemistry
22,
2453-2462[CrossRef][Medline]
[Order article via Infotrieve]
|
| 27.
|
Panda, D.,
Jordan, M. A.,
Chu, K. C.,
and Wilson, L.
(1996)
J. Biol. Chem.
271,
29807-29812[Abstract/Free Full Text]
|
| 28.
|
Seitz-Tutter, D.,
Langford, G. M.,
and Weiss, D. G.
(1988)
Exp. Cell Res.
178,
504-511[CrossRef][Medline]
[Order article via Infotrieve]
|
| 29.
|
Lanzetta, P. A.,
Alvarez, L. J.,
Reinach, P. S.,
and Candia, O. A.
(1979)
Anal. Biochem.
100,
95-97[CrossRef][Medline]
[Order article via Infotrieve]
|
| 30.
|
Bulinski, J. D.,
and Borisy, G. G.
(1979)
Proc. Natl. Acad. Sci. U. S. A.
76,
293-297[Abstract/Free Full Text]
|
| 31.
|
Ngan, V. K.,
Bellman, K.,
Panda, D.,
Hill, B. T.,
Jordan, M. A.,
and Wilson, L.
(2000)
Cancer Res.
60,
5045-5051[Abstract/Free Full Text]
|
| 32.
|
Banerjee, A.,
Roach, M. C.,
Wall, K. A.,
Lopata, M. A.,
Cleveland, D. W.,
and Luduena, R. F
(1988)
J. Biol. Chem.
263,
3029-3034[Abstract/Free Full Text]
|
| 33.
|
Herzog, W.,
and Weber, K.
(1977)
Proc. Natl. Acad. Sci. U. S. A.
74,
1860-1864[Abstract/Free Full Text]
|
| 34.
|
Murphy, D. B.,
and Wallis, K. T.
(1983)
J. Biol. Chem.
258,
8357-8364[Abstract/Free Full Text]
|
| 35.
|
Suprenant, K. A.,
and Rebhun, L. I.
(1983)
J. Biol. Chem.
258,
4518-4525[Abstract/Free Full Text]
|
| 36.
|
Detrich, H. W., III,
Jordan, M. A.,
Wilson, L.,
and Williams, R. C., Jr.
(1985)
J. Biol. Chem.
260,
9479-9490[Abstract/Free Full Text]
|
| 37.
|
Suprenant, K. A.,
and Rebhun, L. I.
(1984)
J. Cell Biol.
98,
253-266[Abstract/Free Full Text]
|
| 38.
|
Dougherty, C.,
Himes, R. H.,
Wilson, L.,
and Farrell, K. W.
(1998)
Biochemistry
37,
10861-10865[CrossRef][Medline]
[Order article via Infotrieve]
|
| 39.
|
Banerjee, A.,
Roach, M. C.,
Trcka, P.,
and Luduena, R. F.
(1990)
J. Biol. Chem.
265,
1794-1799[Abstract/Free Full Text]
|
| 40.
|
Banerjee, A.,
Roach, M. C.,
Trcka, P.,
and Luduena, R. F.
(1992)
J. Biol. Chem.
267,
5625-5630[Abstract/Free Full Text]
|
| 41.
|
Lu, Q.,
and Luduena, R. F.
(1994)
J. Biol. Chem.
269,
2041-2047[Abstract/Free Full Text]
|
| 42.
|
Panda, D.,
Miller, H. P.,
Banerjee, A.,
Luduena, R. F.,
and Wilson, L.
(1994)
Proc. Natl. Acad. Sci. U. S. A.
91,
11358-11362[Abstract/Free Full Text]
|
| 43.
|
Luduena, R. F.
(1998)
Int. Rev. Cytol.
178,
207-275[Medline]
[Order article via Infotrieve]
|
| 44.
|
Trinczek, B.,
Marx, A.,
Mandelkow, E. M.,
Murphy, D. B.,
and Mandelkow, E.
(1993)
Mol. Biol. Cell
4,
323-335[Abstract]
|
| 45.
|
Tournebize, R.,
Popov, A.,
Kinoshita, K.,
Ashford, A. J.,
Rybina, S.,
Pozniakovsky, A.,
Mayer, T. U.,
Walczak, C. E.,
Karsenti, E.,
and Hyman, A. A.
(2000)
Nat. Cell Biol.
2,
13-19[CrossRef][Medline]
[Order article via Infotrieve]
|
| 46.
|
Heald, R.
(2000)
Nat. Cell Biol.
2,
E11-E12[CrossRef][Medline]
[Order article via Infotrieve]
|
| 47.
|
Okabe, S.,
and Hirokawa, N.
(1988)
J. Cell Biol.
107,
651-664[Abstract/Free Full Text]
|
Copyright © 2002 by The American Society for Biochemistry and Molecular Biology, Inc.

CiteULike
Complore
Connotea
Del.icio.us
Digg
Reddit
Technorati What's this?
This article has been cited by other articles:

|
 |

|
 |
 
A. Ray, T. Okouneva, T. Manna, H. P. Miller, S. Schmid, L. Arthaud, R. Luduena, M. A. Jordan, and L. Wilson
Mechanism of Action of the Microtubule-Targeted Antimitotic Depsipeptide Tasidotin (Formerly ILX651) and Its Major Metabolite Tasidotin C-Carboxylate
Cancer Res.,
April 15, 2007;
67(8):
3767 - 3776.
[Abstract]
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
H. Xiao, P. Verdier-Pinard, N. Fernandez-Fuentes, B. Burd, R. Angeletti, A. Fiser, S. B. Horwitz, and G. A. Orr
Inaugural Article: Insights into the mechanism of microtubule stabilization by Taxol
PNAS,
July 5, 2006;
103(27):
10166 - 10173.
[Abstract]
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
P. Fanara, S. Turner, R. Busch, S. Killion, M. Awada, H. Turner, A. Mahsut, K. L. LaPrade, J. M. Stark, and M. K. Hellerstein
In Vivo Measurement of Microtubule Dynamics Using Stable Isotope Labeling with Heavy Water: EFFECT OF TAXANES
J. Biol. Chem.,
November 26, 2004;
279(48):
49940 - 49947.
[Abstract]
[Full Text]
[PDF]
|
 |
|
| This Article |
 |
 |
Abstract
|
 |
Full Text (PDF)
|
 |
All Versions of this Article:
277/45/42456
most recent
M207134200v1
|
 |
| |