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DIAGNOSTICS AT

THE DNA

LEVEL

453

TABLE 13.3 Forty-Three Somatic Mutations of Colorectal Tumors in the APC Gene

 

 

 

 

 

 

 

 

 

 

 

 

C113(F)

142

a

a tag/CTG

: atag/CTG

 

 

Splice acceptor

C31, C124(F)

213

CGA

 

: T

GA

 

 

 

Arg

: Stop

C24

279

aatttttag/GGT

 

 

: agtttttag/GGT

 

Splice acceptor

C47

298

C

ACTC

: CTC

 

 

AC deletion

C108(F)

302

CGA

 

: T

GA

 

 

 

Arg

: Stop

C135

438

CAA/gtaa

 

 

: CAA/g

c aa

 

Splice donor

C33

516

 

AAG/gt

 

: AAG/ tt

 

 

Splice donor

C28

534

AAA

 

: T

AA

 

 

 

Lys

: Stop

C10

540

TTA

: TT

AT

 

 

A insertion

C37

906

T

C TG

 

: TTG

 

 

 

C deletion

 

A128(F)

911

GAA

 

: G

G

A

 

 

Glu

: Gly

C23

1068

TCAAGGA

 

: GGA

 

 

TCAA deletion

C11, C15

1114

CGA

 

: T

GA

 

 

 

Arg

: Stop

C20

1286

GAA

: T

AA

 

 

 

Glu

: Stop

A53

1287

ATA

: A

ATA

 

 

 

A insertion

C27

1293

ACACAGGAAGCAGATTCT

 

31 bp deletion

 

 

GCTAATACCCTGC

AAA

: AAA

 

 

C7, C21

1309

G

AAAAGAT

: GAT

 

 

AAAGA deletion

C14

1309

GAA

 

: T

AA

 

 

 

Glu

: Stop

A41

1313

ACT

: G

CT

 

 

 

Thr

: Ala

C31, C42

1315

TCA

 

: T A

 

 

 

Ser

: Stop

A44

1338

CAG

 

: T

AG

 

 

 

Gln

: Stop

C22

1353

GAATTTTCTTC

: TTC

 

8 bp deletion

A56

1356

 

TCA

: T G A

 

 

 

Ser

: Stop

C4, C27

1367

CAG

 

: T

AG

 

 

 

Gln

: Stop

C10

1398

AG TCG

 

: TCG

 

 

AG deletion

 

C19

1398

AG

T C

 

: AGC

 

 

 

T deletion

 

A43

1411

A

G TG

 

: ATG

 

 

 

G deletion

 

C16

1420

CC

C A

 

: CCA

 

 

 

C deletion

 

C40, A52(F)

1429

GAA

 

: T

AA

 

 

 

Gln

: Stop

C29

1439

C

C TC

 

: CTC

 

 

 

C deletion

 

C37

1446

G

CTCAAACCAAGC

: GGC

10 bp deletion

A50(F)

1448

T

T AT

 

: TAT

 

 

 

T deletion

 

A49(F)

1465

AG TGG

 

: TGG

 

 

AG deletion

 

C23

1490

C

ATT

 

: CTT

 

 

 

A deletion

 

C12

1492

GC

C A

: GCA

 

 

 

C deletion

 

A41

1493

ACAGAAAGTAC TCC

: TCC

11 bp deletion

C3

1513

GAG

: T

GAG

 

 

 

T insertion

 

 

 

 

 

 

 

 

 

 

 

 

 

Source: Adapted from Miyoshi et al. (1992).

If we had the ability to do very large-scale DNA sequencing, genetic diseases could be diagnosed by this technique with great power but still not without difficulties. We would still have to develop effective ways to distinguish, for newly found alleles, whether they were just harmless polymorphisms or true disease-causing alleles. While some guidelines for how this might be done were presented earlier in the chapter, it will be hard to do this in general without considerable information about the function of the protein product of the gene. An example of the complex spectrum of spontaneous mutations seen in the hu-

man factor IX gene responsible for hemophilia B is shown in Table 13.4. These results

454

FINDING GENES

AND MUTATIONS

 

 

 

 

 

 

TABLE

13.4 Summary of Sequence Change in 260 Consecutive Cases of Hemophilia B

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Number

Percentage

 

 

 

 

 

 

 

1. Number with sequence changes in the eight regions of likely

249

 

96

 

 

functional significance

 

 

 

 

 

 

 

2. Of those with sequence changes, number of independent

182

 

73

 

 

mutations

a

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

3. Of independent mutations, number with a second sequence

6

 

3

 

 

change

 

 

 

 

 

 

 

 

4. Type of independent mutation:

 

 

 

 

 

 

Transitions at CpG

 

 

 

 

48

26

 

Transitions at non-CpG

 

 

 

 

65

36

 

Transversions at CpG

 

 

 

 

8

4

 

Transversions at non-CpG

 

 

 

35

19

 

Small deletions and insertions (

50 bp)

 

 

15

8

 

Large deletions (

50 bp)

 

 

 

10

6

 

Large insertions

 

 

 

 

1

0.6

 

5. Location of independent mutations:

b

 

 

 

 

 

 

 

 

 

 

 

Promoter

 

 

 

 

 

1

0.5

 

Coding sequence

 

c

 

 

 

163

86

 

 

 

 

 

 

 

Splice junctions

 

 

 

 

12

6

 

Intron sequences away from splice junctions

 

 

1

0.5

 

 

Poly A region

 

 

 

 

 

0

 

Unlocalized (total gene deletions)

 

 

 

5

3

 

Unknown

b

 

 

 

 

8

4

 

 

 

 

 

 

 

6. Functional consequences of observed independent mutations

 

 

 

 

 

Protein with amino acid substitutions

 

 

114

63

 

Garbled protein (truncated, frameshifted or partial or full

54

 

30

 

 

 

deletion of amino acids)

 

 

 

 

 

 

Abnormal splicing

 

 

 

 

13

7

 

Decrease expression

 

 

 

 

1

0.6

 

 

 

 

 

 

 

 

 

Source:

Adapted from Sommer et al. (1992).

 

 

 

 

 

 

a Recurrent mutations were judged independent if the

haplotypes differed. In a

few cases recurrent

mutations

 

 

 

with the same haplotype were judged independent because the origin of mutation was determined. In four pa-

 

 

 

tients recurrent mutations were judged independent because the races of the individuals were different.

 

 

 

bAssumes that 11 patients with unknown mutations have the same frequency of independent mutations as patients in which the mutation could be defined (73%). Thus eight independent mutations should be unknown.

cIncludes partial gene deletions that affect the coding region.

clearly indicate that no single test at the DNA level, even complete DNA sequencing, would be capable of 100% certain diagnoses. It is difficult to measure heterozygous positions with typical gel-based sequencing, and haplotypes of compound heterozygotes can-

not be determined at all.

The difficulty of DNA analysis of cancers includes all of these problems, but it is confounded by the heterogeneity of typical tumor tissue. For very early onset diagnosis of somatic cancer, one would need to distinguish, potentially, any altered nucleotide, in a complex gene, present in only a minute fraction of the cells in a sample. It is not easy to see how this could be accomplished by directly DNA sequencing alone. In all these cases, the

task is much simpler if only a finite number of specific sequence alleles are correlated with the disease. Then one can set up specific assays for the alleles, and some such assays

 

 

 

 

 

 

ANALYSIS OF DNA SEQUENCE DIFFERENCES

455

seem capable of dealing with the sorts of heterogeneous samples encountered in tumors.

 

 

The emergence of specific cancer or disease-associated alleles can also be tested for in

 

easily assayable fluids. For instance, the fingerprint of prostate tumor cells has been de-

 

tected in urine, and those of head and neck tumors have been detected in saliva and blood.

 

 

ANALYSIS

OF

DNA

SEQUENCE

DIFFERENCES

 

 

 

 

The examples described in the previous section clearly indicate the need to be able to an-

 

alyze a stretch of DNA

sequence to look for abnormalities that might be as small as

sin-

 

gle base pair. If the DNA target is just a few thousand base pairs, this search can be

done

 

by direct sequencing. If the target is much larger, direct sequencing with current methods

 

is impractical. In this section we explore the present status of methods that can

detect

 

changes in DNA as small as single base pairs, with less effort than would be required for

 

total DNA sequencing. Many of these methods resort to the formation of DNA heterodu-

 

 

 

plexes to facilitate the screening for differences between a test sequence and a standard.

 

Figure

13.14

a

shows, schematically the three possible genotypes that must

be distin-

 

guished in making a genetic diagnosis. In general, an individual tested could be normal

 

(dd), heterozygous for the disease allele (dD), or homozygous for the disease allele (DD).

 

If the disease is dominant, one usually expects the affected to be a heterozygote. If one is

 

testing for a carrier status, the test is really looking to see if the individual in question is a

 

heterozygote. In

either

of

these cases, a

normal DNA duplex is present that can serve

as

 

an internal control for the possible presence of an altered duplex. DNA from the region of

 

 

interest

can

be

prepared

directly from

genomic material by PCR, assuming

enough

 

known sequence exists to design suitable primers. If this DNA is melted and the separated

 

 

strands are allowed to reanneal, four distinct products will be formed (Fig. 13.14

 

b ). Two

of these are the perfectly paired normal and abnormal duplexes. The remaining two are

 

 

heteroduplexes composed of one normal and one abnormal strand. Any DNA sequence

 

 

 

differences between these species will lead to imperfections in the duplex because one or

 

more base pairs will be mismatched.

 

 

 

 

Figure 13.14

Detection of a disease allele as a heteroduplex. (

a ) Three genotypes that must be dis-

tinguished

in disease

diagnosis. (

b ) Heteroduplex formation by melting and

reannealing

DNA from

a recessive

carrier or

a dominant heterozygote. (

c ) Heteroduplex

formation by

mixing DNA from a

homozygous recessive with DNA from a normal individual.

456 FINDING GENES AND MUTATIONS

If the disease in question is recessive, the usual question asked is whether the particular individual being tested is homozygous for the disease allele or heterozygous. Thus a

minimal test would be to proceed

exactly as described above, except that now, presence

of

heteroduplex

indicates

that

the

individual

is a carrier, unaffected for the disease.

However, this

test would

be ambiguous because

absence of heteroduplex would imply

that

either the

individual

in question is a homozygous normal or a homozygous affected.

An additional test is required to resolve this

ambiguity. This second test is designed as

shown in Figure

13.14

 

c . DNA from

the individual to be tested is mixed with a standard

DNA sample from a person previously shown to be normal, not a carrier. If the test indi-

vidual carries the disease, four DNA products will be formed; two of these will be het-

eroduplexes. If

 

the test individual is

normal, no heteroduplex products will be produced.

Thus the tests shown in Figure 13.14 reduce the problem of detecting DNA sequence alterations to the problem of detecting heteroduplex DNA.

We will shortly describe a wide variety of techniques that have varying success in distinguishing between DNA heteroduplexes and homoduplexes. One caveat in using these

methods for genetic testing must be noted. Successful heteroduplex detection will find

any DNA alterations, whether or not these are disease alleles or

harmless polymorphisms.

Thus

what

heteroduplex detection does is indicate the presence

of a DNA sequence vari-

ant.

Once

this is found, DNA sequencing will frequently be needed to examine the char-

acteristics of the particular variant discovered. Thus the strategy used is to apply a very simple test that can scan large DNA regions to see if any sequence variations exist. If none are found, and the test is reliable, one need go no further. If differences are discovered, then usually a more robust test will need to be applied, but the screening will have narrowed down the DNA target to a much smaller region. For example, PCR can be used

to examine the exons of a complex gene one at a time. If a sequence variation is discovered in a single exon, at worst one would have to sequence the DNA of that exon to complete the diagnosis.

HETERODUPLEX DETECTION

The difficulty in designing schemes to detect heteroduplexes is that many possibilities can arise, even from a single altered base pair. This is shown in Figure 13.15. Any mixture of two DNAs with a single base pair difference produces two different heteroduplexes with a

single base mismatch. In all, there are eight possible single base mismatches: A–C, A–A, A–G, C–C, C–T, T–T, T–G, G–G, and an acceptable test would have to be able to detect them all. The ideal test would not only detect them, but it would also reveal which exact mismatches were present. A potential complication is that each heteroduplex occurs

Figure 13.15

A single site mutation will serve to generate the formation of two different

heteroduplexes.

 

HETERODUPLEX DETECTION

457

within the context of a specific DNA sequence, and the identity of the neighboring base pairs could easily modulate the properties of the heteroduplex. Not much is known about this at present.

In practice, the formation of heteroduplexes from a diploid sample will produce a pair of mismatches. For single base pair differences there are only four possibilities, and each

gives a different and discrete set of heteroduplexes. Thus a

test that detected a specific

half of the possible heteroduplexes would suffice:

 

M UTATION

H ETERODUPLEXES

A–T to T–A

A–A and T–T

G–C to C–G

G–G and C–C

A–T to G–C

G–T and A–C

A–T to C–G

A–G and C–T

Thus, for example, a method that could identify a mispaired T or G but not A or C would suffice to spot the presence of a heteroduplex, but it would probably not have enough resolving power to identify the exact heteroduplex present.

The single-base, mismatched heteroduplexes just illustrated are actually the most difficult case to detect by the methods currently available. Larger mismatches or heteroduplexes arising from insertions or deletions lead to much larger perturbations in the DNA double helical structure, and these are easier to reveal by physical and chemical or enzymatic methods. The principle complication is that the number of possible heteroduplexes

becomes rather larger. There are four possible single base

 

insertions

or deletions, but

these are likely to be susceptible to complexities caused by

the local

sequence

context.

For example, in the sequence shown below, two altered mismatched structures compete

with each other.

 

 

 

 

 

A–T

A–T

 

 

A–T

A–T

G–C

C

 

G–C

G–C

9: G–C

 

;: G–C

C ;9 G–C

T–A

T–A

 

 

T–A

T–A

 

 

 

 

The genetic consequences of the two different structures shown above are identical; however, the presence of two alternate heteroduplex structures could complicate the analysis.

Much

more work needs to be done to

characterize the properties of such structures in

more

detail. This will have to be

done before the overall accuracy of any

proposed

method of heteroduplex detection can be validated for clinical use.

 

 

At least six different basic methods for detecting heteroduplex DNA have been de-

scribed. All of these tests work well

in some cases. However, none have yet been

proved

to be generally applicable to all possible heteroduplexes. A key issue in these tests is how

large

a

DNA target can be examined directly. The larger the target, the fewer fragments

will

be

needed to cover

a

whole gene. However, if targets are too large,

they

may

have

such

a

high probability

of

containing a phenotypically silent polymorphism

that

the

ad-

vantage of the test as a primary screen will be lost, since many fragments will test posi-

tive. The first four tests, illustrated in Figure 13.16, all have potentially similar characteristics, and all will work, in principle, on very large DNA targets. A straightforward and

direct approach is to use single-strand-specific DNases like S1 nuclease to cleave at the

458 FINDING GENES AND MUTATIONS

Figure

13.16

Four different methods

for

direct detection of heteroduplex DNA. (

 

a )

Nicking with

S1 nuclease. (

b ) Trimming and nicking an RNA-DNA hybrid with ribonuclease. (

 

c ) Reaction of un-

paired

bases

with

organic

molecules

like carbodiimides. (

d ) Binding

of

mut S protein to

the site of

the mismatch.

 

 

 

 

 

 

 

 

 

mismatched

bases

in a heteroduplex (Fig. 13.16

a ). Then the

resulting

shortened DNA

 

fragment could be detected by a Southern blot or by PCR. The difficulty with this ap-

 

 

proach is that no known combination of enzyme and reaction conditions allows reliable

 

 

 

cleavage at single base mismatches. Larger mispaired targets are needed before cleavage

 

 

 

becomes efficient and selective. Other nucleases that look very promising for such studies

 

 

 

include bacteriophage T4 endonuclease VII.

 

 

 

 

 

 

RNase nicking can be used as an alternative to DNase nicking. Here a single strand of

 

 

 

the DNA to be tested is annealed with RNA made from a DNA sample representing the

 

 

 

normal allele (Fig. 13.16

b ). This is easily accomplished, for example, by subcloning that

 

allele downstream from a strong in vitro promoter like that for T7 RNA polymerase. One

 

 

 

can produce either internally labeled RNA,

and

look for

two shorter fragments as a sign

 

 

 

of fragmentation,

or end-labeled RNA, and look for one

shorter fragment. In this latter

 

 

 

case it is necessary to have the test DNA extend beyond the labeled end of the RNA; oth-

 

 

 

erwise, the RNase will remove the label. Some workers swear by the reliability and sensi-

 

 

 

tivity of the RNase approach, but many others have apparently been unable to use it suc-

 

 

 

cessfully.

 

 

 

 

 

 

 

 

 

 

Chemical methods can be used instead of enzymes to mark or to cleave at the site of a

 

 

 

mismatch. A particularly effective approach has been the use of water-soluble carbodi-

 

 

 

imides

which can

react

with mismatched T

or

G (Fig.

13.16

c ). These compounds

are

 

 

 

 

 

 

HETERODUPLEX

DETECTION

 

459

available radiolabeled, so one can detect the presence of a mismatch by the incorporation

 

 

 

 

of radioisotope. Alternatively, there are monoclonal antibodies available that are specific

 

 

 

for the carbodiimide reaction product. This is a very powerful analytical tool, since it al-

 

 

 

lows physical fractionation of any heteroduplexes, which are thus purified and concen-

 

 

 

trated if needed for subsequent analysis. The carbodiimide approach does have two dis-

 

 

 

 

tinct disadvantages. It cannot detect all possible

mismatches, and it has

been

reported

to

 

 

 

be a difficult test to master in the laboratory.

 

 

 

 

 

 

 

 

 

The fourth test based on protein recognition of heteroduplexes is rather different be-

 

 

 

cause it does not involve enzymatic cleavage. In

 

 

 

E. coli,

a protein is made by

the

mut S

gene that recognizes mismatches and binds to them (Fig. 13.16

 

 

 

d ). This is an early step in

 

the excision and repair of mismatched bases. The binding of

 

 

 

mut S protein can be detected

 

in a number of different ways. DNA, once bound by

 

 

 

 

mut S, will stick to nitrocellulose fil-

ters, while free DNA passes through. Alternatively,

 

 

 

mut

S fusions

to other

proteins in-

 

volved in color-generating reactions have been made, and monoclonal antibodies against

 

 

 

 

mut S are also available. Thus a variety of different methods to exist

to detect

 

 

mut

S-DNA

complexes. An attractive feature of

mut S, like carbodiimides, is that it allows the selective

 

isolation of intact heteroduplexes. The disadvantage shared by both systems is that not all

 

 

 

mismatches are detected. For example,

 

mut

S

fails to recognize a C–C mismatch, and

 

some others. The full extent of the advantages and limitations of analysis of mismatches

 

 

 

with

mut S has not yet been described. However, this general kind of approach is attractive

 

 

 

because it mimics a natural biological mechanism, and proteins with properties analogous

 

 

 

 

to mut

S, but perhaps with even broader mismatch recognition, may well exist in other or-

 

 

 

ganisms.

 

 

 

 

 

 

 

 

 

 

Two additional methods for detection of heteroduplexes are based on the altered elec-

 

 

 

trophoretic properties of these structures. The simplest of these is direct separation of het-

 

 

 

eroduplexes from homoduplexes of the same length by using specialized gels. A very ef-

 

 

 

 

fective method uses a modified polyacrylamide

called

MDE, a

term

that

stands

for

 

 

 

mutation detection electrophoresis. This gel has a somewhat hydrophobic character which

 

 

 

 

alters the mobility of heteroduplexes selectively. Some move faster; most

move slower.

 

 

 

In good cases a single mismatched base in a 900 base pair duplex is sufficient to give an

 

 

 

easily detectable mobility shift. An example of the improved ability of

MDE

compared

 

 

 

 

with ordinary gel media to resolve heteroplexes from homoduplexes is shown in Figure

 

 

 

 

13.17. A more complex example of the use of MDE is illustrated in Figure 13.18, where

 

 

 

it is clear that different heteroduplexes within the same basic DNA fragments show differ-

 

 

 

 

ent mobilities. Thus, in principle, the method offers some promise of revealing, not just

 

 

 

that a heteroduplex is present but additional information about its characteristics. The ap-

 

 

 

peal of this method is that it is very easy to perform, since aside from the special proper-

 

 

 

ties of the gel, the electrophoretic procedures used are quite ordinary. It is also easy to an-

 

 

 

alyze many samples in parallel. However, the full generality of the method has yet to be

 

 

 

proved. For example, it would be good to know how the nature of the mismatch and its

 

 

 

location

within the duplex affect the ability to

detect

it. Already

we know

that deletions

 

 

 

lead to large mobility shifts, and DNA molecules with more than one heteroduplex region show very complex behavior. In general, a heteroduplex combination of a deletion and a separate, distant single-base mismatch leads to much larger mobility shifts than expected from the effects seen with the two mutations separately. The reason for this synergistic behavior is not currently understood.

A second electrophoretic method was originally developed by Leonard Lerman and his collaborators, and several variations on this general theme now exist. The original method

460 FINDING GENES AND MUTATIONS

 

(a )

(b )

 

 

 

Figure 13.17

An example of

direct detection of heteroduplex DNA by electrophoresis. (

a )

On

polyacrylamide. (

b ) On MDE gel. Provided by Avitech, Inc.

 

 

 

was called denaturing gradient gel electrophoresis (DGGE). The basic idea behind the

 

 

method is illustrated in Figure 13.19. DGGE appears to be a general method capable of

 

 

detecting any mismatch in a DNA sequence that is not at the very end. An internal mis-

 

 

 

match in a duplex leads to a substantial decrease in the thermodynamic stability; this is

 

 

manifested by a drop in the

T m of the duplex (Fig. 13.19

a ). To test for mismatches, DNA

 

 

fragments are electrophoresed in a

gel through a gradient of increasing denaturant like

 

 

urea, or a gradient of increasing temperature. At some critical point the section of the du-

 

 

plex containing

the destabilizing

mismatch reaches conditions above its local

 

T m , and

it

Figure 13.18 Many different single mismatches can be distinguished by electrophoresis on MDE. Each lane is a different cystic fibrosis disease allele except for the left lane which is a normal allele, and shows no heteroduplex formation. Provided by Avitech, Inc.

HETERODUPLEX DETECTION

461

Figure 13.19

Denaturing gradient gel electrophoresis (DGGE) detection

of

heteroduplexes. (

a )

Destabilization of a duplex by mismatching. (

 

 

 

 

b ) Electrophoresis in a temperature or denaturant gra-

 

dient. ( c ) Use of a GC clamp to prevent strand separation in DGGE.

 

 

 

 

 

 

 

 

melts. The

resulting

Y -shaped

structure (or one with a large internal loop) has little or no

 

electrophoretic mobility, and so the molecule

is

trapped in the

gel

near

or

at

the

site

 

where it melted (Fig. 13.19

 

b ). Thus from a single experiment one can determine not only

 

whether heteroduplexes are present but

also what kinds of mismatches were present,

 

 

since most give characteristic and different shifts in

 

 

 

 

 

T m .

 

 

It is important that the mismatch does not destabilize the duplex so much that the en-

 

tire structure melts into separate strands. These

would

still

be free to migrate in

the

gel.

 

To prevent this unwanted effect, a G

 

 

 

 

C-rich sequence is usually placed at one end of the

 

duplex to be tested. This is easily

done

by using PCR primers with an extra overhanging

 

G C-rich sequence. The use of this so-called GC clamp (Fig. 13.19

 

 

 

 

c ) prevents complete

 

melting under typical DGGE conditions. A major advantage of DGGE is its generality.

 

 

Another advantage is that rather complex samples can be analyzed by running a gel com-

 

 

 

posed of a restriction enzyme digest of a clone and then blotting it with particular probes.

 

A major disadvantage of DGGE is that specialized apparatus is needed for this method.

 

 

 

A third electrophoretic method we

will

describe

for

detection

of

altered

DNA se-

 

quences is also based on electrophoresis,

and it takes advantage of the effects of altered

 

DNA sequence on thermodynamic stability.

However, in detail, this method is actually

 

 

quite different from DGGE; it does not involve heteroduplexes. Called single-strand con-

 

 

formational polymorphism (SSCP), the method is based on nondenaturing gel elec-

 

trophoresis

of melted

and rapidly

cooled samples. Under

these

conditions

individual

 

462 FINDING GENES AND MUTATIONS

DNA strands fold back on themselves to form whatever combination of stems and loops (and other secondary structures, e.g., pseudoknots) that the particular DNA sequence al-

lows. Changes in even a single base can substantially alter the spectrum of secondary structures formed. RNA can be used instead of DNA to enhance the stability of secondary structure formation, and this apparently increases the fraction of heteroduplexes that can be detected. The use of MDE gels also enhances the resolution of SSCP. The results in a

typical SSCP analysis are complex. However, SSCP is serving as a very easy and sensitive method to detect a reasonable fraction of all possible heteroduplexes. Two variations

of SSCP have been described by Steven Sommer that increase the probability of detecting any mutation in the target. The first of these, called dideoxy fingerprinting (ddf ), is a hy-

brid between Sanger sequencing and SSCP (Sarkar et al., 1992). A Sanger ladder is produced with a single dideoxy pppN, and it is analyzed on a native polyacrylamide se-

quencing gel. In the second method, restriction endonuclease fingerprinting, the nucleases and the products from these digests are pooled and analyzed together by SSCP (Liu and

Sommer, 1995).

 

A fourth electrophoretic method takes advantage of

the power of automated fluores-

cent DNA sequences. A mutation shows up as an unexpected

peak. The sensitivity of the

method, called orphan peak analysis (Hattori et al., 1993), is sufficient to allow multiple samples to be probed in each gel lane.

The final method we will mention for detecting altered DNA sequences is based on recent findings by Sergio Pena and coworkers (1994). In using short random DNA primers (RAPD; see Chapter 4) for PCR analysis of human DNA, they noted that the pattern of amplified bands seen was exquisitely sensitive to DNA sequence variations in the neigh-

borhood of the primers such that virtually all alleles tested led to a different, distinct pattern of amplified DNA lengths.

In current practice, faced with a gene to search for mutants, the simplest and most general existing method is probably to do both SSCP and MDE-heteroduplex analysis. The

real difficulty that remains is the size of many genes of interest. A typical 3- to 5-kb gene could be scanned in 5 to 10 pieces by selective PCR. In order to do this, however, one has to have available mRNA from the individual to be tested. This may not always be avail-

able. A further caveat is that some altered mRNAs may be selectively degraded in a cell if they are not functional. Thus a mutation may make itself invisible at the RNA level. The alternative is do the analysis at the DNA level. Here one can use PCR to look only at the exons. However, the difficulty is that some genes have 30 or more exons, and some exons can be very small. Given the large size of typical introns, each exon will have to be analyzed by a separate PCR reaction; thus the overall test becomes quite complicated.

DIAGNOSIS OF INFECTIOUS DISEASE

DNA sequence is proving to be quite useful in the diagnosis of the presence of infectious organisms. Usually a small bit of DNA sequence will suffice to indicate the presence of a virus, bacterium, protozoan, or fungus. Different species can be identified definitively, once their characteristic DNA sequences are known. The major problem in using DNA

analysis for detection of infectious agents is sensitivity; this is the same problem we encountered earlier in examining the prospects of DNA diagnosis for cancer. There may be

only a few copies of the DNA (or RNA,

for some viruses) genome

per

organism. The

number of infected cells (or the number

of organisms free in the

blood

stream or other

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