
[Cancer Research 60, 1526-1530, March 15, 2000]
© 2000 American Association for Cancer Research
Layered Expression Scanning: Rapid Molecular Profiling of Tumor Samples
Chad R. Englert,
Galina V. Baibakov and
Michael R. Emmert-Buck1
Pathogenetics Unit, Laboratory of Pathology, National Cancer Institute, Bethesda, Maryland 20892 [C. R. E., G. V. B., M. R. E-B.], and Howard Hughes Medical Institute-National Institutes of Health Research Scholars Program, Bethesda, Maryland 20892 [C. R. E.]
 |
ABSTRACT
|
|---|
Layered expression scanning is a new approach to comprehensive molecular
analysis of tumor samples that uses a layered array of capture
membranes coupled to antibodies or DNA sequences to perform multiplex
protein or mRNA analysis. Cell or tissue samples are transferred
through a series of individual capture layers, each linked to a
separate antibody or DNA sequence. As the biomolecules traverse the
membrane set, each targeted protein or mRNA is specifically captured by
the layer containing its antibody or cDNA sequence. The two-dimensional
relationship of the cell populations is maintained during the transfer
process, thereby producing a molecular profile of each cell type
present. Reduction-to-practice of the technique is demonstrated by
analysis of prostate-specific antigen (PSA) protein, gelatinase A
protein, and POV1 (PB39) cDNA. As layered expression scanning
technology progresses, we envision a laboratory method that will have
multiple applications for high-throughput molecular profiling of normal
and tumor samples.
 |
Introduction
|
|---|
The success of the Human Genome Project and related gene discovery
initiatives are dramatically increasing the information available
regarding the number, genomic location, and sequences of human genes
(1, 2, 3, 4, 5, 6, 7)
. Accompanying the expanding base of genetic
knowledge are several new technologies geared toward high-throughput
molecular analysis, allowing a global view of the expression of gene
products in biological systems (8, 9, 10, 11, 12)
. Used together the
expanding genetic database and developing analysis technologies hold
tremendous potential to increase the understanding of normal cellular
physiology and the alterations that underlie cancer progression in
patients and related model systems (13, 14, 15, 16, 17, 18)
. However,
tumor samples remain uniquely difficult to analyze because of their
complex cellular heterogeneity. To overcome this problem, several
methods have recently been developed. For example, new tissue
microdissection techniques facilitate the procurement of microscopic
cell populations from histological sections, thus permitting
investigators to recover and study specific normal or diseased cell
types (19, 20, 21, 22, 23, 24)
. Alternatively, tissue arrays permit
individual molecules to be studied simultaneously in hundreds of
separate tissue samples using standard immunohistochemistry or in
situ hybridization methodology (25)
. Layered
expression scanning is a new technique that combines cell and/or tissue
samples with a high-throughput array approach to provide a simple and
rapid method for comprehensive molecular analysis.
 |
Materials and Methods
|
|---|
Tissue Samples.
Tissues were obtained from patients on Institutional Review
Board-approved protocols of the NCI. All of the clinical and patient
identifiers were removed from the samples prior to the study.
Capture Membranes.
Two types of capture layers were used to demonstrate feasibility and
reduction to practice of the technique. Nitrocellulose membranes were
used for the capture of
PSA2
and MMP-2. Agarose gel layers were used in the experiments that
demonstrated the capture of POV1 (PB39) cDNA and the transfer of an
intact tissue section through multiple layers. In applications using
nitrocellulose capture membranes, the resolution of the transfer
process could be increased by coating each membrane with 1% agarose
prior to creating the membrane stack.
Transfer Process.
Transfer of tissue specimens through the capture membranes was
performed similar to a standard Southern blot with the following
modifications: (a) the samples were transferred through the
capture membranes overnight by capillary movement using a 1x
Tris-glycine transfer buffer for proteins and a 6x SSC buffer for DNA;
(b) the standard nitrocellulose membrane was replaced with a
stack of capture layers (either agarose gel layers or nitrocellulose
membranes), each linked to a separate capture antibody or DNA sequence;
and (c) the standard agarose gel was replaced with a gel
that was specially prepared and contained the samples to be analyzed.
If the samples were solubilized cellular lysates, purified protein, or
cDNA, then the gel was created as follows: a 2-mm thick, 2% agarose
gel layer was made, and a series of 4-mm diameter holes were
"punched" in the gel to create sample "wells." The biological
samples were then added to 1% liquid agarose, placed into the wells,
and allowed to solidify. The agarose gel was then placed into a
standard Southern blot apparatus and the samples transferred by
capillary action out of the gel and through the capture layers. If the
sample to be transferred was an intact histological tissue section,
then a 2-mm thick, 2% agarose gel was made, and the tissue section was
placed directly on top of the gel. The section was then covered by a
thin layer of 1% liquid agarose that was allowed to polymerize,
creating a two-layered gel with the intact tissue section located
inside. The gel/tissue was then placed into the blot apparatus and
transferred similar to a standard Southern blot.
Capture of PSA.
Small tissue samples (0.25 cubic inches) from five patients were
lysed in 250 µl of tissue protein extraction buffer (Pierce,
Rockford, IL). The tissue samples included normal lung, lung tumor,
esophageal tumor, normal prostate, and breast cancer. A 1:10 dilution
(0.25 µl) of purified PSA (Scripps, San Diego, CA) was used as a
positive control. One µl of each tissue sample lysate was placed on
the top layer of a nitrocellulose membrane set (1.75 square
inches, 0.45 µm pore size, Schleicher and Schuell,
Keene, NH) as illustrated in Fig. 1
. The membranes were coupled to individual antibodies as follows. Each
antibody was diluted 1:100 from the original titer and linked to
individual membranes by gentle shaking in 1x PBS for 1 h at
4°C, followed by three 10-min washes in 1x PBS. The membranes were
subsequently treated with a commercial blocking agent (Pierce) for
1 h at room temperature, followed by three repeat washes with 1x
PBS. The identity and order of the antibodies was as follows:
(a) layer 1, PB39644 (NCI, Bethesda, MD); (b)
layer 2, actin (Sigma, St. Louis, MO); (c) layer 3,
PB39645 (NCI); (d) layer 4, tubulin (Sigma);
(e) layer 5, PB39646 (NCI); (f) layer 6,
cytokeratin (Sigma); (g) layer 7, PB39655 (NCI);
(h) layer 8, MMP-2 (NCI); (i) layer 9, PB39656
(NCI); and (j) layer 10, polyclonal anti-PSA (Scripps).
After tissue sample transfer, capture layer 10 was individually
analyzed by a standard immunoblot procedure using a monoclonal anti-PSA
antibody (Scripps, 1:1000 titer), and the membrane was visualized using
ECL in accordance with the recommendations of the manufacturer
(Pierce).

View larger version (48K):
[in this window]
[in a new window]
|
Fig. 1. Schematic diagram showing the principle of layered
expression scanning. A is a schematic of a whole-mount
section of prostate from a patient with cancer. Contained within the
section are multiple different cell populations and subpopulations,
each of biological interest. For example, normal prostate epithelium
adjacent to a tumor focus may show a distinct gene expression profile
compared with normal epithelium distant from the cancer. Lymphocytes
associated with the tumor may show a distinct molecular profile unique
to the local environment and/or alter the expression pattern of nearby
tumor cells. B shows the conceptual basis of layered
expression scanning. A tissue section, microdissected cells, or cell
lysates are transferred through a series of capture membranes linked to
capture (hybridization) molecules. The membranes are subsequently
analyzed and a measurement of each target molecule is obtained from the
corresponding layer.
|
|
Specificity of PSA Capture.
A 20-um cryostat section of prostate tissue was placed on the top
layer of a membrane set (see Fig. 1
) and transferred overnight by
capillary movement through nine layers of nitrocellulose (0.5 square
inches), each coupled to a separate antibody as described above.
The following antibodies were used: (a) layer 1, PB39644
(NCI); (b) layer 2, actin (Sigma); (c) layer 3,
tubulin (Sigma); (d) layer 4, PB39645 (NCI);
(e) layer 5, polyclonal anti-PSA (Scripps); (f)
layer 6, CaIR 1 (NCI); (g) layer 7, PB39656 (NCI);
(h) layer 8, cytokeratin (Sigma); and (i) layer
9, CD3 (United States Food and Drug Administration, Bethesda, MD).
After transfer of the tissue specimen through the nine layers, each
membrane was placed into 30 µl of SDS-containing sample buffer
(Novex) to remove captured molecules. The recovered molecules from each
individual layer were separated by electrophoresis on a 420%
Tris-glycine acrylamide gel (Novex) for 1.5 h at 110 V. The
proteins recovered from layer 1 were run in Lane 1, the
proteins recovered from layer 2 were run in Lane 2, and so
forth. After electrophoresis, the proteins were transferred from the
gel to a 0.2 µm pore size polyvinylidene difluoride membrane
(Novex) for 2 h at 40 V and analyzed by a standard immunoblotting
procedure using a 1:1000 titer of monoclonal anti-PSA antibody
(Scripps). Subsequently, a repeat of the experiment was performed
except the tissue was transferred through 101 membranes with polyclonal
anti-PSA (Scripps) placed on membrane 100. In this experiment,
membranes 199 and 101 were treated with a blocking reagent (Pierce)
but were not linked to antibodies.
Capture of MMP-2.
The experiment showing capture and analysis of MMP-2 was performed
similar to the capture of PSA described above ("Specificity of PSA
Capture") except a polyclonal antibody against MMP-2 (NCI) was used
in place of anti-PSA, and purified MMP-2 was used in place of prostate
tissue. After sample transfer, the membranes were placed in 30 µl of
SDS-containing buffer to remove captured molecules, and each sample was
subsequently analyzed by gelatin zymography as described previously
(19)
.
Capture of POV1 (PB39) cDNA.
33P-labeled PCR products (200 bp) were amplified
from plasmids containing cDNAs of the POV1 (PB39, NCI) and
ß-actin (Clontech, Palo Alto, CA) genes, respectively. The
PCR products were excised from an agarose gel, and 5% of each product
was placed in a 4-mm diameter spot on top of a set of 10 thin
(<50-µm) 2% agarose gel layers. During the preparation of
layer 5, the POV1 cDNA-containing plasmid was added to the agarose
prior to gel polymerization at a final concentration of 30 ng/µl The
POV1 and actin PCR products were transferred through the 10 agarose
layers by capillary fluid movement overnight at room temperature using
6x SSC. After transfer, the layers were separated and visualized by
X-OMAT radiography.
Transfer of an Intact Tissue Section.
Ten-µm-thick whole-mount cryostat sections of human prostate
from radical prostatectomy specimens were placed on top of either a
10-layer (Fig. 4
, top) or a 100-layer (Fig. 4
,
bottom) agarose gel layer set as illustrated in Fig. 1
. The
intact tissue section was transferred through the layers by capillary
fluid movement overnight at room temperature to a 1.75-square-inch,
0.45-µm pore size nitrocellulose membrane (Schleicher and Schuell).
In this experiment, the layers consisted of <50-µm-thick, 0.5%
agarose gels without antibodies or DNAs attached. After transfer of the
tissue sections, the nitrocellulose membranes were probed with an
antibody against cytokeratin (Sigma, 1:1000 dilution) to selectively
identify epithelial elements and were visualized by ECL according to
the recommendations of the manufacturer (Pierce).

View larger version (33K):
[in this window]
[in a new window]
|
Fig. 4. Transfer of an intact tissue section. Whole-mount
prostate tissue sections were transferred through either 10
(top) or 100 (bottom) agarose gel layers
to a nitrocellulose membrane and were subsequently probed with a
monoclonal antibody against cytokeratin. Similarities can be seen in
the corresponding H&E-stained sections.
|
|
 |
Results and Discussion
|
|---|
Fig. 1
shows the principle of layered expression scanning in
schematic form. A biological sample (Fig. 1
, left, tissue
section; middle, dissected cell populations;
right, lysates from cells) is placed adjacent to a
set of capture layers, each containing an individual hybridization
molecule (antibody or DNA sequence). The specimen(s) is transferred
through the membrane set, andimportantlythe overall two-dimensional
architecture within the sample(s) is maintained. As the proteins and
nucleic acids are transferred, each target molecule specifically
hybridizes to the membrane containing its antibody or cDNA sequence.
After hybridization, each of the membranes is analyzed, which provides
a measurement of the level of expression of each targeted molecule in
all of the cell types present in the sample.
Fig. 1A
shows a schematic representation of a whole-mount
prostate tissue section from a patient with cancer who was treated at
the NCI. Contained within the section are multiple cell populations of
biological interest, including normal epithelium, premalignant lesions,
high- and low-grade tumor foci, stromal components, and important
tumor-host interactions such as lymphocytes associated with cancer
cells. Additionally, each of these cell populations contains many
distinct subpopulations. For example, in a given region of the prostate
that contains cancer, there are several hundred individual tumor foci
invading through the stroma. Presumably, these tumor glands share
molecular alterations of the transformed phenotype. However, it is also
likely that important molecular heterogeneity exists, either inherent
to the tumor cells themselves (such as a tumor focus that has
progressed to the metastatic phenotype) or secondary to their location
within the prostate gland and to the influence of neighboring
cell types or structures. Thus, a critical need in furthering our
understanding of the molecular profiles of normal and tumor cells in
tissues is a methodology that permits simultaneous molecular profiling
of all of the cell types that are present. For investigators, this will
facilitate a deeper understanding of tumorigenesis at a molecular
level. For clinicians, this will permit molecular assessment of the
entire tumor with the potential to identify aggressive subpopulations
that are not evident based on cellular phenotype observed under the
microscope (26)
. Layered expression scanning is a simple
technique that was designed to permit concurrent molecular profiling of
multiple cell populations. To demonstrate the feasibility and initial
reduction to practice of the technique, six experiments of a prototype
system were performed and analyzed.
Capture of PSA.
To demonstrate molecular capture, cell samples from five separate
patients were procured from tissue specimens and solubilized in
standard protein extraction buffer. The samples included normal lung,
lung cancer, esophageal cancer, normal prostate, and breast cancer.
Each of the cell lysates was placed within a discrete 4-mm-diameter
spot on the top layer of a capture membrane set (see Fig. 1B
, cell lysate example). Additionally, purified PSA was
used as a positive control sample. In this experiment, the capture
membranes consisted of 10 nitrocellulose layers, each coupled to a
separate antibody. Polyclonal anti-PSA was linked to layer 10. The six
tissue samples were transferred through the capture membranes by
capillary action, and each membrane was subsequently analyzed. Fig. 2A
shows capture layer 10 after probing with a monoclonal
antibody against PSA and visualization by ECL. Samples 1 (purified PSA)
and 5 (normal prostate tissue) show a positive signal, which indicates
that PSA has been successfully captured. Samples 2 (normal lung), 3
(lung tumor), 4 (esophageal tumor), and 6 (breast cancer) do not
contain PSA and are appropriately negative.

View larger version (21K):
[in this window]
[in a new window]
|
Fig. 2. Selective and Specific Capture of Proteins. In
A, cell lysates from five tissue samples were
transferred through 10 antibody-linked capture layers and analyzed for
PSA. Sample 1, purified PSA control; sample
2, lung tumor; sample 3, normal lung;
sample 4, esophageal tumor; sample 5,
normal prostate; sample 6, breast tumor. Positive
staining for PSA was observed only in samples 1 and 5.
B, specific capture of PSA from a prostate tissue
section. Lane 5 (representing the layer linked to
anti-PSA antibody) shows a single, distinct PSA band at
Mr 30,000 (30 kDa). The
remaining capture membranes are negative for PSA. C,
specific capture of PSA after transfer through 101 layers. Layer 100
was linked to anti-PSA antibody. D, specific capture of
active MMP-2 enzyme. The analysis was performed by gelatin zymography.
Lane 5 (representing the layer linked to anti-MMP-2
antibody) shows a single, distinct MMP-2 band at
Mr 72,000.
|
|
Specificity of PSA Capture.
To show the specificity of the capture process, a single sample of
prostate tissue was solubilized and transferred through a set of
capture layers as described in the section "Capture of PSA," except
that polyclonal anti-PSA was placed on membrane 5. After the transfer
of the prostate tissue through the layers, each membrane was placed in
denaturing buffer to remove captured molecules. The proteins recovered
from every membrane were subsequently separated by gel electrophoresis
(the proteins recovered from layer 1 were run in Lane 1, the
proteins recovered from layer 2 were run in Lane 2, and so
forth) and analyzed by immunoblot using a monoclonal anti-PSA antibody.
Fig. 2B
shows the results from each of the capture layers.
Lane 5 (representing layer 5, linked to anti-PSA) shows a
single, distinct PSA band at Mr
30,000 (30 kDa). The remaining capture membranes are
negative for PSA. This experiment demonstrates that PSA was captured
only on the membrane containing its antibody. Moreover, the single band
on the immunoblot indicates that the ECL signal derived from the
capture membrane in the previous experiment (see section above) was
specific for PSA.
To illustrate the potential of the method for high-throughput analysis,
a repeat of the experiment was performed, except the tissue was
transferred through 101 capture layers with anti-PSA placed on layer
100. Successful and specific capture of PSA is shown in Fig. 2C
. There does not seem to be a limit to the number of
capture membranes that can be used; thus, it is possible that, when
fully developed, layered expression scanning will allow the
simultaneous measurement of hundreds of molecular species.
Capture of MMP-2.
To demonstrate the ability of layered expression scanning to capture
and analyze active enzymes a repeat of the "Specificity of PSA
Capture" experiment was performed, except the anti-PSA antibody that
was linked to capture layer 5 was replaced by an antibody against
MMP-2. Purified MMP-2 protein was transferred through the capture
layers, and each membrane was subsequently analyzed by gelatin
zymography. Fig. 2D
shows successful capture of MMP-2
represented by a single band at Mr
72,000 (72 kDa).
Capture of POV1 (PB39) cDNA.
To show the ability of layered expression scanning to analyze nucleic
acids, the following experiment was performed. Radiolabeled PCR
products from transcripts from the POV1 (PB39) and
actin genes were placed within discrete 4-mm diameter spots
on the top layer of a capture membrane set. The PCR products were
transferred through 10 capture layers overnight by capillary transfer.
In this experiment, the capture layers consisted of ultrathin
(<50-µm) 2% agarose gels. Capture layer five contained a plasmid
containing the entire cDNA for the POV1 gene. Fig. 3
shows successful and selective capture of POV1 cDNA.

View larger version (16K):
[in this window]
[in a new window]
|
Fig. 3. Capture of POV1 (PB39) cDNA. Radiolabeled PCR products
from POV1 and ß-actin transcripts were
transferred as discrete spots through 10 capture layers. Layer 5 was
linked to a plasmid containing the entire POV1 cDNA. Successful and
specific capture of POV1 is evident in layer 5. In contrast, the actin
PCR product moved through the entire set of layers and was not
captured. A nonblocked nitrocellulose membrane (top) was
used to bind the noncaptured POV1 and actin PCR products after they
traversed the membrane set.
|
|
Transfer of an Intact Tissue Section.
The experiments described above show the feasibility of layered
expression scanning to analyze tissue samples after they have been
appropriately procured and solubilized. We think that this approach
holds great potential to facilitate high-throughput molecular studies
of microdissected cell populations, cells grown in vitro,
and bulk tissue specimens. Perhaps the best long-term potential of
layered expression scanning, however, is for the analysis of intact
tissue sections. This will permit investigators to simultaneously
determine molecular profiles of all of the cell populations present in
a histological section, without the need to mechanically separate or
procure individual cell types. It would be ideal to perform these
investigations at a single-cell level of resolution to permit
individual cells to be analyzed. However, investigations performed at a
"microscopic structure" level of resolution will also be of
interest, particularly in the study of tumors. In prostate cancer, for
example, all of the individual normal glands, premalignant foci, and
high- and low-grade tumor glands could be simultaneously analyzed, as
well as important subpopulations, such as tumor glands, that are
invading through the prostate capsule.
The following two experiments were performed as a first step in
assessing the feasibility of transferring histological sections through
a large number of capture membranes while maintaining basic tissue
architecture. Ten-µm-thick whole-mount sections of human prostate,
representing cross-sections of the entire organ, were placed on top of
a capture membrane set consisting of either 10 or 100 agarose gel
layers (as illustrated in Fig. 1
). The sections were transferred
through the capture layers and onto a nitrocellulose membrane. The
membrane was subsequently probed with an antibody against cytokeratin
and visualized by ECL. Retention of the basic organization of the
tissue section throughout the transfer process is demonstrated in Fig. 4
by comparing the transferred sections with a H&E-stained slide of an
adjacent recut section. The overall architecture of the transferred
sections is highly similar to the corresponding H&E-stained slide, and
the location of individual glandular epithelial elements within the
tissue sections can be determined. Thus, it appears feasible that
layered expression scanning can be used for analyzing intact tissue
sections, although the precise cellular resolution that can be obtained
with captured molecules remains to be determined.
In summary, layered expression scanning is a newly developing analysis
method that integrates procured cell populations and/or
histopathological tissue sections with a high-throughput array
approach. The technique may have utility for a wide range of studies
investigating molecular profiles of defined cell types.
 |
FOOTNOTES
|
|---|
The costs of publication of this article were defrayed in part by the payment of page charges. This article must therefore be hereby marked advertisement in accordance with 18 U.S.C. Section 1734 solely to indicate this fact.
1 To whom requests for reprints should be
addressed, at Pathogenetics Unit, Laboratory of Pathology, National
Cancer Institute, Building 10, Room 2A33, 9000 Rockville Pike,
Bethesda, MD 20892. E-mail: mbuck{at}helix.nih.gov 
2 The abbreviations used are: PSA,
prostate-specific antigen; MMP-2, matrix metalloproteinase-2; ECL,
enhanced chemiluminescence; NCI, National Cancer Institute. 
Received 9/24/99.
Accepted 2/ 2/00.
 |
REFERENCES
|
|---|
-
Collins F. S., Patrinos A., Jordan E., Chakravarti A., Gesteland R., Walters L., the members of the Department of Energy and NIH planning groups. New goals for the U. S. Human Genome Project: 19982003. Science (Washington DC), 282: 682-689, 1998.[Abstract/Free Full Text]
-
Venter J. C., Adams M. D., Sutton G. G., Kerlavage A. R., Smith H. O., Hunkapiller M. Shotgun sequencing of the human genome. Science (Washington DC), 280: 1540-1542, 1998.[Free Full Text]
-
Adams M. D., Kerlavage A. R., Fields C., Venter J. C. 3,400 new expressed sequence tags identify diversity of transcripts in human brain. Nat. Genet., 4: 256-267, 1993.[Medline]
-
Deloukas P., Schuler G. D., Gyapay G., Beasley E. M., Soderlund C., Rodriguez-Tome P., Hui L., Matise T. C., McKusick K. B., Beckmann J. S., Bentolila S., Bihoreau M., Birren B. B., Browne J., Butler A., Castle A. B., Chiannilkulchai N., Clee C., Day P. J., Dehejia A., Dibling T., Drouot N., Duprat S., Fizames C., Fox S., Gelling S., Green L., Harrison P., Hocking R., Holloway E., Hunt S., Keil S., Lijnzaad P., Louis Dit-Sully C., Ma J., Mendis A., Miller J., Morissette J., Muselet D., Nusbaum H. C., Peck A., Rozen S., Simon D., Slonim D. K., Staples R., Stein L. D., Stewart E. A., Suchard M. A., Thangarajah T., Vega-Czarny N., Webber C., Wu X., Hudson J., Auffray C., Nomura N., Sikela J. M., Polymeropoulos M. H., James M. R., Lander E. S., Hudson T. J., Myers R. M., Cox D. R., Weissenbach J., Boguski M. S., Bentley D. R. A physical map of 30,000 human genes. Science (Washington DC), 282: 744-746, 1998.[Abstract/Free Full Text]
-
Hillier L., Lennon G., Becker M., Bonaldo M. F., Chiapelli B., Chissoe S., Dietrich N., DuBuque T., Favello A., Gish W., Hawkins M., Hultman M., Kucaba T., Lacy M., Le M., Le N., Mardis E., Moore B., Morris M., Parsons J., Prange C., Rifkin L., Rohlfing T., Schellenberg K., Soares M. B., Tan F., Thierry-Meg J., Trevaskis E., Underwood K., Wohldman P., Waterston R., Wilson R., Marra M. Generation and analysis of 280,000 human expressed sequence tags. Genome Res., 6: 807-828, 1996.[Abstract/Free Full Text]
-
Lennon G., Auffray C., Polymeropolous M., Soares M. B., The I. M. A. G. E. consortium: an integrated molecular analysis of genomes and their expression. Genomics, 33: 151-152, 1996.[Medline]
-
Strausberg, R. L., Buetow, K. H., Emmert-Buck, M. R., and Klausner, R. D. The Cancer Genome Anatomy Project: building an annotated gene index. Trends Genet., in press, 2000.
-
Schena M., Shalon D., Davis R. W., Brown P. Quantitative monitoring of gene expression patterns with a complementary DNA microarray. Science (Washington DC), 270: 467-469, 1995.[Abstract/Free Full Text]
-
Velculescu V., Zhang L., Vogelstein B., Kinzler K. Serial analysis of gene expression. Science (Washington DC), 270: 484-487, 1995.[Abstract/Free Full Text]
-
Fodor S. P., Rava R. P., Huang X. C., Pease A. C., Holmes C. P., Adams C. L. Multiplexed biochemical assays with biological chips. Nature (Lond.), 364: 555-556, 1993.[Medline]
-
DeRisi J., Penland L., Brown P. O., Bittner M. L., Meltzer P. S., Ray M., Chen Y., Su Y. A., Trent J. M. Use of a cDNA microarray to analyse gene expression patterns in human cancer. Nat. Genet., 14: 457-460, 1996.[Medline]
-
Iyer V. R., Eisen M. B., Ross D. T., Schuler G., Moore T., Lee J. C. F., Trent J. M., Staudt L. M., Hudson J., Jr., Boguski M. S., Lashkari D., Shalon D., Botstein D., Brown P. O. The transcriptional program in the response of human fibroblasts to serum. Science (Washington DC), 283: 83-87, 1999.[Abstract/Free Full Text]
-
Phimister B. Going global. Nat. Genet., 21: 1 1999.
-
Lander E. Array of hope. Nat. Genet., 21: 3-4, 1999.[Medline]
-
Brown P. O., Botstein D. Exploring the new world of the genome with DNA microarrays. Nat. Genet., 21: 33-37, 1999.[Medline]
-
Strausberg R., Dahl C. A., Klausner R. D. New opportunities for uncovering the molecular basis of cancer. Nat. Genet., 15: 415-416, 1997.
-
Hacia J. G., Brody L. C., Chee M. S., Fodor S. P., Collins F. S. Detection of heterozygous mutations in BRCA1 using high density oligonucleotide arrays and two-colour fluorescence analysis. Nat. Genet., 14: 441-447, 1996.[Medline]
-
Luo L., Salunga R. C., Guo H., Bittner A., Joy K. C., Galindo J. E., Xiao H., Rogers K. E., Wan J. S., Jackson M. R., Erlander M. G. Gene expression profiles of laser captured adjacent neuronal subtypes. Nat. Med., 5: 117-122, 1999.[Medline]
-
Emmert-Buck M. R., Roth M. J., Zhuang Z., Campo E., Rozhin J., Sloane B. F., Liotta L. A., Stetler-Stevenson W. G. Increased gelatinase A (MMP-2) and cathepsin B activity in invasive tumor regions of human colon cancer samples. Am. J. Pathol., 145: 1285-1290, 1994.[Abstract]
-
Emmert-Buck M. R., Bonner R. F., Smith P. D., Chuaqui R. F., Goldstein S. R., Zhuang Z., Weiss R. A., Liotta L. A. Laser capture microdissection. Science (Washington DC), 274: 998-1001, 1996.[Abstract/Free Full Text]
-
Moskaluk C. A., Kern S. E. Microdissection and polymerase chain reaction amplification of genomic DNA from histological tissue sections. Am. J. Pathol., 150: 1547-1552, 1997.[Abstract]
-
Bonner R. F., Emmert-Buck M. R., Cole K. A., Pohida T., Chuaqui R. F., Goldstein S. R., Liotta L. A. Laser capture microdissection: molecular analysis of tissue. Science (Washington DC), 278: 1481-1483, 1997.[Free Full Text]
-
Schutze K., Lahr G. Identification of expressed genes by laser-mediated manipulation of single cells. Nat. Biotechnol., 16: 737-740, 1998.[Medline]
-
Fend F., Emmert-Buck M. R., Chuaqui R. F., Cole K. A., Lee J., Liotta L. A., Raffeld M. Immuno-LCM. Laser capture microdissection of immunostained frozen sections for mRNA analysis. Am. J. Pathol., 154: 61-66, 1999.[Abstract/Free Full Text]
-
Kononen J., Bubendorf L., Kallioniemi A., Barlund M., Schraml P., Leighton S., Torhorst J., Mihatsch M. J., Sauter G., Kallioniemi O. P. Tissue microarrays for high-throughput molecular profiling of hundreds of tumor specimens. Nat. Med., 4: 844-847, 1998.[Medline]
-
Emmert-Buck M. R. Cathepsin D, and prognosis in breast cancer. One piece of a larger puzzle?. Hum. Pathol., 27: 869-871, 1996.[Medline]
This article has been cited by other articles:

|
 |

|
 |
 
G. Gannot, M. A. Tangrea, H. S. Erickson, P. A. Pinto, S. M. Hewitt, R. F. Chuaqui, J. W. Gillespie, and M. R. Emmert-Buck
Layered Peptide Array for Multiplex Immunohistochemistry
J. Mol. Diagn.,
July 1, 2007;
9(3):
297 - 304.
[Abstract]
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
G. GANNOT, M. A TANGREA, R. F CHUAQUI, J. W GILLESPIE, and M. R EMMERT-BUCK
Layered Peptide Arrays: A Diverse Technique for Antibody Screening of Clinical Samples
Ann. N.Y. Acad. Sci.,
March 1, 2007;
1098(1):
451 - 453.
[Abstract]
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
G. Gannot, M. A. Tangrea, J. W. Gillespie, H. S. Erickson, B. S. Wallis, R. A. Leakan, V. Knezevic, D. P. Hartmann, R. F. Chuaqui, and M. R. Emmert-Buck
Layered Peptide Arrays: High-Throughput Antibody Screening of Clinical Samples
J. Mol. Diagn.,
October 1, 2005;
7(4):
427 - 436.
[Abstract]
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
D. Ramljak, L. J. Romanczyk, L. J. Metheny-Barlow, N. Thompson, V. Knezevic, M. Galperin, A. Ramesh, and R. B. Dickson
Pentameric procyanidin from Theobroma cacao selectively inhibits growth of human breast cancer cells
Mol. Cancer Ther.,
April 1, 2005;
4(4):
537 - 546.
[Abstract]
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
A. L. Feldman, W. G. Stetler-Stevenson, N. G. Costouros, V. Knezevic, G. Baibakov, H. R. Alexander Jr., D. Lorang, S. M. Hewitt, D.-W. Seo, M. S. Miller, et al.
Modulation of Tumor-host Interactions, Angiogenesis, and Tumor Growth by Tissue Inhibitor of Metalloproteinase 2 via a Novel Mechanism
Cancer Res.,
July 1, 2004;
64(13):
4481 - 4486.
[Abstract]
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
J. W. Gillespie, G. Gannot, M. A. Tangrea, M. Ahram, C. J.M. Best, V. E. Bichsel, E. F. Petricoin, M. R. Emmert-Buck, and R. F. Chuaqui
Molecular Profiling of Cancer
Toxicol Pathol,
January 1, 2004;
32(1_suppl):
67 - 71.
[Abstract]
[PDF]
|
 |
|

|
 |

|
 |
 
S.-Y. Seong
Microimmunoassay Using a Protein Chip: Optimizing Conditions for Protein Immobilization
Clin. Vaccine Immunol.,
July 1, 2002;
9(4):
927 - 930.
[Abstract]
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
J. W. Gillespie, C. J.M. Best, V. E. Bichsel, K. A. Cole, S. F. Greenhut, S. M. Hewitt, M. Ahram, Y. B. Gathright, M. J. Merino, R. L. Strausberg, et al.
Evaluation of Non-Formalin Tissue Fixation for Molecular Profiling Studies
Am. J. Pathol.,
February 1, 2002;
160(2):
449 - 457.
[Abstract]
[Full Text]
[PDF]
|
 |
|