BIOCHEMICAL
Vol. 55, No. 3,1973
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ANALYSIS-OF --~DNA-RNA-I_-HYBRIDIZATION-DATA--USING-THE SCATCHARD PLOT ---- ---J. Lawrence Marsh and Brian J. McCarthy* Departments of Biochemistry and Genetics University of Washington Seattle, Washington 98195 Received
October
15,1973
SUMMARY: DNA-RNAhybridization experiments, especially in eukaryotic systems, ----are complicated by such factors as large genomesize and the difficulty of separating RNAfractions. Current analytical ;.lethods can lead to erroneous conclusions since heterogeneity is often obscured and data in the most useful concentration ranges are not readily obtainable. Someof these difficulties can be overcome by using a Scatchard plot which is superior to other methods in preventing commonmisinterpretations of data resulting from heterogeneous RNAsamples or non-specific reaction. In principle,
the titration
provides a quantitative that particular
of single-stranded
estimate of the fraction
DNAwith excess RNA
of the genomecoding for
species or group of RNAmolecules.
Ideally
the binding
should be measured over a broad range of RNAand DNA concentrations. practice, specific solubility.
however, the experimental design is limited
by such factors
as the
radioactivity
of the RNAor DNA, the amount of RNAavailable
and its
It
to achieve saturating
is often difficult
Decreasing the amount of DNAin the reaction detection activities
RNAconcentrations.
is not always practical
since
of very small amounts of binding requires rather high specific or excessively
in such reactions
saturation
in extrapolation
radio-
The approach to saturation presenting
Indeed, in order to determine the
(l-3).
values, experiments are often performed at the highest possible
RNA concentrations. bution of dilute
long periods of incubation.
is asymptotic with increasing RNAconcentration,
obvious difficulties final
In
It
is exactly
these data which tend to maximize the contri-
contaminants and non-specific
A method of anlaysis allowing a linear
reaction.
extrapolation
to infinite
RNA
*Present address: Department of Biochemistry and Biophysics, University California at San Francisco, San Francisco, California 94122.
Coprrikht 0 1973 by Amdemic Press, Inc. All rights of reproduction in any form reserved.
805
of
BIOCHEMICAL
Vol. 55, No. 3, 1973
concentration
is therefore
AND BIOPHYSICAL RESEARCH COMMUNICATIONS
desirable.
Although the double reciprocal
as applied by Bishop to DNA/RNAhybridization,
partially
fills
this need (4),
Scatchard's analysis of the binding of small ions by proteins this purpose in a manner superior to other available function
concentrations
can be conveniently
and usefully
are spread more evenly along the line. distinguishing
between specific
displayed;
It is particularly
and non-specific
(5) serves The
treatments.
is bounded on both ends by meaningful intercepts;
plot,
any range of and the points advantageous for
binding and for analyzing
the binding of an enriched component in the presence of heterogeneous contaminants. THEORETICAL: The equation describing
the function
can be derived as follows:
a DNA-RNAhybridization
reaction,
either
of the DNAon filters
by imobilization
mixtures containing
self reaction
increasing concentrations
allowed to come to equilibrium is measured. The reaction [Dl + [RI
and the fraction
of the DNAis prevented or by dilution.
Reaction
of RNArelative
to DNAare
of DNA in heteroduplex
equation can be written +
as:
[DRI
It should be noted here that the reaction
In
(1) described in equation (1)
considers only those sequences of DNAwhich can react with RNA, hence the term [D] or unreacted DNArefers could eventually
react with RNA. [R] refers
free RNA. [DR] is the concentration concentrations association
only to that unreacted DNAwhich to the concentration
of hybridized
DNA-RNAcomplex, all
being in terms of moles of nucleotides per liter.
The
constant K, is given by: Ka = [DRl/ IDI [RI
(2)
The maximumpossible extent of hybridization
1~~1~~ is by definition
sumof the bound DNA [DR] and the unreacted DNA [D], i.e.,
@RI + IDI.
of
Multiplying
equation (2) by [D] and substituting
for D yields:
806
equal to the
[DR]~~ = [DRmx - DRI
Vol. 55, No. 3,1973
BIOCHEMICAL
AND BIOPHYSICAL
RESEARCH COMMUNICATIONS
Figure 1. Binding of a single RNA species to a single DNAsite is depicted in 4 ways. (A) direct plot, (B) semi log plot, (C) double reciprocal plot, (D) Scatchard plot.
[DRl/ [RI = Ka([DRlmax - [DRI) A plot of DNAhybridized/free whose x intercept
(3)
RNAagainst DNAhybridized
is [DR]-
is a straight
line,
the value for the maximumamount of DNAin
hybrid. DISCUSSION: There are four methods of plotting the association are [DR] (Fig. 1). prefered
VS.
DNA-RNAbinding data to obtain
constant K, and the maximumextent of hybridization.
[RI,
[DRI
VS.
Of these four,
log [RI, l/[D~l the last,
for both theoretical
[DRI vs. [R] suffers
vs. l/[Rl,
vs. [DRI
as described in this paper, is to be
(6) and practical
Prohibitively
are sometimes needed to approach saturation
reasons.
The direct
plot
the linear
or logarithmic
high RNAconcentrations
and extrapolation
in all but the simplest cases. Heterogeneity
reciprocal
and [DRI/[Rl
from the fact that the curve approaches the limiting
value of [DR]~~ asymptotically.
apparent in either
These
in a sample is not readily presentation.
plot is useful in that it gives a straight
binding sites are equivalent.
However, it
807
is difficult
is difficult
The double
line if all to plot all
the of the
BIOCHEMICAL
Vol. 55, No. $1973
Figure 2. Hybridization nitro-cellulose filters. Filters containing (7).
data
number.
the right slope
where
ordinate
they
have a disproportionately
reaction,
and the
slope
makes heterogeneity reactions. titrate a pure were
incubated
it
determining
of
limited
displaced
[R] are
for
of
by a far
to
on the
so close
to the
is
the
labeled
the
Furthermore,
function difficult.
the curve
described
components,
experiments
"28s"
rRNA in
saturation
808
DNA (7).
value
amounts
of complex designed
to
Using of RNA
The difficulty
by extrapolation
be the which
the chicken.
RNA, increasing chicken
will
a feature
consider
"28s"
of
goes to infinity
analysis
for
the y
maximum extent
and facilitates
containing final
linear
individual
coding
theoretically
manner.
[DRlmax,
systems
of illustration,
filters
of the
intercepts:
extrapolation
apparent
genes
all
in a useful
Any other
making
lines
of highly with
values
not
influence
ends by meaningful
-K . a
thus
For purposes
fraction
accurately
is
readily
the number
is
[R] being
hand weights
case of multicomponent straight
of
axes
large
the x intercept
one axis,
In the sum of the
on both
Ka[DR],,,
on at least
high
and displays
bounded
is
values
on the other
evenly
intercept
of both
curvature.
plot
is
in low
Conversely,
data
function
scale
results
as to obscure
obtainable
the
This
A Scatchard
the
way since
of the line.
RESEARCH COMMUNICATIONS
of chicken 28s rRNA to chicken DNA immobilized on RNA was labeled with 12'1 to 2.64 x 10' cpm ug-' 12.5 ug DNA were incubated in .l ml 2xSSC at 7O'C.
in a meaningful
finite
AND BIOPHYSICAL
of of the
BIOCHEMICAL
Vol. 55, No. 3,1973
AND BIOPHYSICAL RESEARCH COMMUNICATIONS
Figure 3. Binding behavior was calculated for a sample containing 2 RNA species, A and B, in 1O:l relative concentration. The K for both species was taken to be 10'. The total concentration of DNAwas&taken to be 50 ugfml 0.1% of which was complementary to each site A and B. A single RNAspecies binding to two DNAsites with different K in a 1O:l ratio produces the same result. -Ibinding of the mixture, --e-8- binding of the individual components as a function of total [R] = [RA] + [s].
binding curve (inset, concentration
Fig. 2) is clear.
A ten-fold
was necessary to increase binding from 75% to 99%of saturation.
The extrapolation
to infinite
[R] is facilitated
according to equation 3 (Fig. 2). constant is 8.6 x lo6 M-l,
Several factors,
(8,9).
such as GC content, relative
base pair mismatching, non-specific
concentrations
influence
the value of the
With a mixture of several RNAspecies, the apparent binding
constant for each species depends on its relative This allows one to distinguish contaminants.
from non-specific
these data
a value consistent with the values of 2.6 x lo6 6'
association and differing binding constant.
by plotting
From the slope of the line the association
reported for g. coli RNA/DNAhybrids
dilute
increase in RNA
sections, one displaying
locus specific
hybridization
In both cases the curve will
a decreased slope reflecting
contaminants or non-specific
in the mixture.
between an enriched component Ind a number of
Similarly,
reaction.
concentration
association.
below. 809
can be distinguished
break into two
the binding of dilute
Two such cases will
be illustrated
BIOCHEMICAL
Vol. 55, No. 3,1973
Figure In the
4. first,
to two DNA sites resembles
containing
a 1O:l
same binding
displayed
ratio
plot
in Fig.
reactions
such as the
4.
thermal
(10).
are
grossly
deviates
strikingly
and must
be analyzed plot
stability
for
linearity
as a multiple
the direct
The Scatchard indicating binding
can be seen by comparing
of the same data
(Fig.
The Scatchard
Rather
in than
Fig.
3 and as a of the
can these offers
component
plot
of Fig.
the
two cases
no evidence
the
mixture.
It
sample
of 4
is
heterogenous
The advantages
4 to a double
for
of the
reciprocal
plot
3).
analysis
20 and 80% saturation
that
of
identical.
parameters
plot
of (A)
is
in Fig.
other
saturation
overestimated. from
plots
of the product
case
with
a 9% contamination
two cases
by considering
In either
and the values
interest
constants.
Only
of a sample
to two DNA sites
to simulate
reciprocal
binds This
the behavior
binding
of these
which
was calculated.
Secondly,
was calculated
method.
RNA species
constants
binding.
behavior
Scatchard
of a single
association
and double
Scatchard
Scatchard
behavior
by the
of two RNA species
as direct
heterogeneity
3 analyzed
non-specific
The binding
be distinguished
Fig,
different
constant
an RNA sample. is
from
the binding with
situation
the
Data
AND BIOPHYSICAL RESEARCH COMMUNICATIONS
makes maximum use of-the determining
maximizing
the the
final
effect
810
data
saturation of dilute
obtained
between
values
and association
contaminants
and
BlOCHEMlCAL
Vol. 55, No. 3,1973
non-specific
reaction,
these data make it possible to identify
of the component of interest unknown contaminants. percentage
AND BIOPHYSICAL RESEARCH COMMUNICATIONS
the binding
despite the concomitant binding of multiple
Moreover, these data are subject to the least
error and are theoretically
most significant
(6).
The fact that
this plot is bounded at both ends allows one to determine immediately by visual inspection what portion The best fit
of the total
titrant
has been performed.
to the data can be determined by any of several published
methods (11,12).
Acknowledgment Weare greatly
indebted to Dr. A. Tereba for the use of his unpublished
data (Fig. 2), and to Dr. David A. Deranleau for his stimulating This research was supported by a predoctoral
fellowship
discussions.
(IJSPHSGrant PGMOOO52)
and USPHSGrant #GM20287to B. J. McCarthy. REFERENCES: 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11. 12.
Bishop, J. 0. (1972) Karolinska Symposia on Research Methods in Reproductive Endocrinology, 5th Symposium, Gene Transcription in Reproductive Tissue, pp. 247-273. Walker, P. M. B. (1969) Prog. Nucleic Acid Res. -Mol. -Biol. 2, --301-326. Birnstiel, M. L., Chipchase, M. and Speirs, J. (1971) m. Nucleic Acid Res. Mol. Biol. ---Bishop, J. 0. (1969) Scatchard. G. (1949) Deranleau, D. A. (196rJ. Amer. m. s. 9l, 4044-4049. (1973) Biochemistry, in press. Tereba, A. and McCarthy,B.r Bishop, J. 0. (1970) Biochem. J. 116, 223-228. Kennell, D. E. (1971) Prog. --Nucleic Acid Res. -Mol. -Biol. II-, 259-301. Farquhar, M. N. and McCarthy, B. J. (1973) Biochemistry (in press). Deranleau, D. A. (1969) I. Amer. Chem. Sot. 9l, 4050-4054. Feldman, H. A. (1972) -Anal.Biochcs%7-338.
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