
The CCR’s Commitment to Partnerships and Sharing of Scientific Information
 he
CCR is committed to developing and sharing molecular research tools and scientific
information within the NCI as well as the wider cancer research community. During
the past 2 years, the CCR’s Office of Science and Technology Partnerships
(OSTP) has developed new programs in collaboration with the private sector to
advance these goals. Several new CCR-wide initiatives are identifying and characterizing
cancer-relevant proteins and their binding partners. Many of these protein interactions
regulate important cellular processes, including proliferation, differentiation,
apoptosis, metastasis, cell cycle control, and angiogenesis, which are the key
areas of investigation within the Intramural Research Program.
The OSTP has forged partnerships with private-sector organizations, such as
Myriad Genetics, to facilitate the discovery of novel protein-protein interactions
and cell-signaling networks and to generate high-affinity reagents to serve
as research tools for functional characterization and molecular interrogation.
The partnership with Myriad also enables CCR investigators to access Myriad’s
automated process for identification of novel protein interactions based on
the yeast two-hybrid (Y2H) methodology. In the first year of the program, 60
cancer-relevant genes of interest to CCR investigators were analyzed by Myriad’s
unique, high-throughput system. To date, this large-scale effort between CCR
and Myriad has led to the identification of more than 1,000 novel protein interactions,
many of which are now being validated and confirmed as functionally relevant
in mammalian cell systems.
A partnership with Becton Dickinson PharMingen and Rockland Immunochemicals
was spearheaded to develop monoclonal and polyclonal antibodies against hundreds
of key cancer-related targets of interest to CCRat no cost to the investigator.
As part of the partnership agreement, CCR investigators characterize the antibodies
using biological systems available in their laboratories and provide the data
to the companies for further development. The companies will market the antibodies
to the public and cite the CCR investigators who validate them. To date, the
program has accepted more than 200 targets for antibody development. Over 50
antibodies have been delivered to various groups, and the rest are at various
stages of development. This example illustrates how the CCR can leverage the
breadth and diversity of the Intramural Program to capitalize on relationships
with the private sector that ultimately benefit the entire research community.
The integration of protein modification and interaction data is critical for
the characterization of biochemical and genetic pathways, the elucidation of
functional relationships, and the identification of novel molecular targets
of cancer. The CCR is collaborating with the Advanced Biomedical Computing Center
in Frederick (ABCC) and the NCI Center for Bioinformatics (NCICB) to develop
a data-sharing, Web-based tool to integrate these data. This system will incorporate
data related to genes and proteins being studied within the CCR. For example,
it will integrate data generated from the Y2H and antibody partnerships, including
confirmation of novel protein interactions in mammalian systems, validation
of antibodies raised against newly identified targets, and protein interaction
and modification data generated by mass spectrometry or other analytical methods.
Future plans for this Web tool include links to a variety of CCR-generated and
publicly available databases, such as RNAi resources, gene expression profiles,
and pathways. The sharing of novel findings among CCR laboratories through the
database will facilitate both the establishment of new collaborations and the
exchange of technical expertise and resources. The resulting synergy and cooperation
between various NCI groups will expedite the translation of basic research findings
into new therapies, diagnostics, and preventative agents. Information related
to all of the programs managed by the OSTP can be found on the CCR
Web site.
Robert H. Wiltrout, PhD
Director

Fusion Gene Transcripts in Expressed Sequence Tags Database
Hahn
Y, Bera TK, Gehlhaus K, Kirsch IR, Pastan IH, and Lee B. Finding fusion genes
resulting from chromosome rearrangement by analyzing the expressed sequence
databases. Proc Natl Acad Sci U S A 101: 1325761, 2004.
he
creation of fusion genes by chromosome translocation is a common feature of
human cancer cells. The gene fusion often disrupts the normal regulation of
the genes involved. It may result in overexpression of an oncogene, inactivation
of a tumor suppressor gene, or production of altered protein with modified function.
Several specific fusion genes are known to be responsible for hematologic disorders.
The BCR/ABL1 fusion gene, for instance, is found in more than 90% of
patients with chronic myelogenous leukemia. Evidence is emerging that fusion
genes are also important in epithelial carcinogenesis.
Chromosome translocations can be discovered by cytogenetic experiments, but
it is difficult to tell if a fusion gene has been created by the translocation
and, if so, to identify it. Here we describe a procedure for identifying fusion
genes by an analysis of the expressed sequence tags (EST) database. ESTs are
short (~500 bp) sequences of randomly selected cDNAs prepared from a variety
of tissues. The current database holds more than 6 million human ESTs, about
half of which are from cancer tissues or derived cancer cell lines. The ESTs
from fusion genes in this database can be identified because they map to two
different locations in the human genome. A complicating factor is that many
such chimeric transcripts in the EST database are cloning artifacts generated
during the cDNA library construction process. However, these can be separated
from genuine fusion gene transcripts because the fusion point usually occurs
in an exon for the former, whereas it usually occurs at an exon-exon boundary
for the latter.
We developed a semi-automatic procedure for systematic identification of fusion
gene transcripts in the mRNA and EST databases based on these principles. Using
this procedure, we could identify 118 mRNAs and 196 ESTs as fusion gene transcript
sequences, from a total of 237 putative fusion genes. Among the mRNA sequences,
96 were previously annotated as fusion transcripts, including most of the BCR/ABL1
fusion transcript sequences.
The procedure also identified 177 novel fusion gene candidates. We experimentally
verified one of these, the IRA1/RGS17 fusion, which was supported by
three independent EST clones (Figure 1). A reverse
transcriptase (RT)-PCR experiment using an mRNA sample from the MCF7 breast
cancer cell line yielded a clear band with the correct size. A fluorescence
in situ hybridization (FISH) experiment using two BAC clones containing
IRA1 and RGS17 genes, respectively, detected a derivative chromosome,
most likely the previously identified t(3;6)(q26;q25)del(3)(p14).
The 5´-UTR exon 1 of IRA1 on 3q26.32
is fused with the start codonbearing exon 2 of RGS17 on 6q25.2.
The RGS17 protein is a member of the GTPase-activating proteins that act as
regulators of G-protein signaling. Components in the G-proteincoupled
receptor-signaling pathways, including RGS proteins, are known to be involved
in many cancers and considered as potential therapeutic targets in cancer therapy.

Figure 1. Prediction and verification of the IRA1/RGS17
fusion resulting from a chromosome translocation. A) Schematic representation
of the IRA1/RGS17 fusion. Boxes represent the exons, and broken lines the
introns. The fusion event is indicated by an arc. Arrows indicate the transcription
start sites. Exons are numbered as they occur in the original genes. Primers for
the reverse transcriptase (RT)PCR reaction are indicated (T530 and T531).
ORFs (open reading frames) are marked with grey boxes. B) RT-PCR detection
of the fusion transcripts in MCF7 cells. The fusion gene transcripts for the previously
known BCAS4/BCAS3 and the predicted IRA1/RGS17 fusions were detected
in the cells. The β actin (ACTB) was used as the positive control.
The product sizes of ACTB, BCAS4/BCAS3, and IRA1/RGS17 are
600, 328, and 367 bp, respectively. C) Detection of the 3;6 translocation
in MCF7 cells by a fluorescence in situ hybridization (FISH) experiment.
A representative result is presented. The IRA1 gene (red) and the RGS17
gene (green) are on the chromosomes 3 and 6, respectively. Besides two copies
each of chromosomes 3 and 6, a 3;6 translocation was detected (white arrow).
We expect to collect more fusion gene candidates in the future as the EST database
continues to expand. A large collection of cancer-related gene fusions, attained
through a combination of computational prediction and experimental verification,
should present a new opportunity to uncover novel molecular mechanisms of carcinogenesis.
Yoonsoo Hahn, PhD
Visiting Fellow
hahny@mail.nih.gov
Byungkook Lee, PhD
Principal Investigator
Laboratory of Molecular Biology
NCI-Bethesda, Bldg. 37/Rm. 5120A
Tel: 301-496-6580
Fax: 301-480-4659
bk@nih.gov

Why Is DNA Like a Plumber’s Snake?
Kouzine
F, Liu J, Sanford S, Chung HJ, and Levens D. The dynamic response of upstream
DNA to transcription-generated torsional stress. Nat Struct Mol Biol
11: 1092100, 2004.
he
double helix must be untwisted to decode or copy the genetic information embedded
in DNA sequences. As one strand is locally rotated about the other, torsional
stress is inevitably generated. In topological domains where the total number
of helical turns is fixed, which may occur by a number of means such as protein-protein
interactions between DNA-bound factors, torsional stress accumulates as DNA
is unwound, causing the double helix to coil back upon itself to form “supercoils”
(Figure 1, part A). Because double-stranded DNA
is intrinsically very stiff, unless dissipated, the supercoiling forces stored
in DNA may rise to levels that alter its structure or impede the enzymatic machineries
that conduct genetic business (i.e., transcription, replication, recombination,
and repair). Therefore, special enzymes, termed “topoisomerases,”
cut one or both DNA strands to allow rotations that release torsional stress
and then reseal the cuts (Figure 1, part A, middle).

Figure 1. A) When a DNA fiber is wrapped around itself,
with its ends restrained (in this case, the ends are fixed to each other forming
a circle), supercoils are formed and trap torsional stress (top). The only way
to remove the stress is to break the DNA and let the ends counter-rotate (middle).
We wondered what happens dynamically if stress is applied to an open DNA fiber.
If the DNA is rigid enough, the whole molecule would rotate as a unit and no supercoils
would form, or if the DNA is flexible enough, the whole fiber would writhe around
itself in response to applied torque (bottom). B) Linear, open molecules
with divergent promoters were transcribed in vitro; concurrent recombination
between loxP sites bracketing the interposed DNA, which was excised as closed
circles, trapped any supercoils residing in or transiting through the interposed
segment at the instant of recombination. Transcription generates torque as the
double helical template is threaded through the RNA polymerase active site. Without
transcription (Trx), no stress would be captured; the number of transient supercoils
captured was expected to reveal how rigid or flexible the DNA was. C) A
sample result: ongoing transcription (+) traps a large number of supercoils. Without
transcription () very few supercoils are trapped. D) Factors recognizing
dynamic changes in DNA structure resulting from transcriptional torque provide
the necessary effector components to construct a molecular “cruise control.”
FUSE, far upstream element; FBP, FUSE binding protein; FIR, FBP interacting repressor;
loxP, target sequences for the site-specific Cre recombinase. T3 and T7 indicate
bacteriophage T3 and T7 promoters.
Although supercoiling forces often modify gene expression in prokaryotes, in
metazoans, the capacity of vast stretches of non-coding DNA to absorb this stress
and abundant topoisomerase activity have been presumed to mitigate the influence
of supercoiling on gene regulation. Moreover, attempts to measure the stable
level of supercoils per unit length of DNA (the superhelical density, σ)
suggest that torsional stress does not accumulate to high levels in the DNA
of higher eukaryotes.
We wondered, however, what does DNA (in this case linear DNA that cannot hold
onto supercoils) look like dynamically while it is being transcribed? Does it
writhe like a plumber’s snake being whipped about, or do the supercoils
run off the ends of the DNA so rapidly that the template is relaxed and unstressed
(Figure 1, part A, bottom)?
The experimental problem was to trap the evanescent stresses propagating from
an activated promoter in linear DNA. These dynamic supercoils had to be captured
and preserved during transcription for future study, because active RNA
polymerase translocating along the template was the kinetic engine cranking
the DNA. The trick was to convert the dynamic supercoils into stable, conventional
supercoils. To accomplish this, a 1-kilobase (kb) (100 double helical turns)
segment of DNA was interposed between two similarly oriented loxP sites, target
sequences for the site-specific Cre-recombinase (Figure
1, part B). This loxP-bracketed segment was in turn placed upstream of a
single phage RNA polymerase promoter or was inserted between two divergently
transcribed phage promoters, all in linear DNA fragments. With the latter arrangement,
the dynamic supercoils from each promoter would be expected to be mutually reinforcing.
Upon addition of Cre, site-specific recombination between the loxP sites was
expected to excise a 1-kb, covalently closed DNA circle, trapping any supercoils
residing in or transiting through the segment at the instant of recombination
(Figure 1, part B). Two-dimensional electrophoresis
of the 1-kb circles recovered from these reactions to separate the DNA rings
into a series of spots, each differing from its neighbor by a single supercoil,
promised to give an accurate accounting of dynamic supercoils generated during
transcription (Figure 1, part C).
In the absence of transcription, recombination trapped no more than the two
supercoils explained by thermal wriggling of DNA. As the transcription intensity
was increased, the circles trapped more and more supercoils. As many as 14 supercoils
were captured in the 1-kb segment; σ = 0.14, an incredibly high number
(Figure 1, part C). What are the biological consequences
of σ rising transiently to such a high level?
At high levels of σ, DNA melts at susceptible sites. This melting does
not occur gradually, but at critical thresholds, the susceptible segments, “soft
spots” in the DNA, buckle. In fact, from 2-dimensional gel electrophoresis,
chemical modification, and nuclease hypersensitivity assays, we show that the
far upstream element (FUSE) from the human c-myc gene pops open during
transcription initiated at downstream promoters. Depending on the σ, melted
FUSE binds an activator, the FUSE binding protein (FBP), and a repressor, the
FBP interacting repressor (FIR). Thus, these proteins superimpose effector function
on the stress-sensor properties of FUSE and, in principle, create a mechanical
device for the real-time regulation of transcription (Figure
1, part D). Real-time regulation is likely to be especially important for
genes yielding short half-life, low abundance transcripts, such as from c-myc
and perhaps other protooncogenes, tumor suppressors, and cell cycle regulators.
Focal melting of DNA may have several other important consequences: (1) Melted
DNA is much more flexible than duplex, so a melted segment may help to juxtapose
widely separated elements and their associated factors. (2) Dynamic supercoiling
may energetically assist chromatin remodeling and modification. (3) Propagation
of dynamic supercoils from one gene to another, in principle, allows the activity
of one gene to modulate directly and immediately the activity of a closely situated
promoter. Knowledge of the transmission of mechanical forces through DNA may
help us to understand chromosome architecture and to devise strategies for the
precise control of genetic processes.
Fedor Kouzine, PhD
Visiting Fellow
kouzinef@mail.nih.gov
David Levens, MD, PhD
Senior Investigator
Laboratory of Pathology
NCI-Bethesda, Bldg. 10/Rm. 2N105
Tel: 301-496-2176
Fax: 301- 594-5227
levens@helix.nih.gov

Structural Studies of Rio2, an Atypical Serine Kinase Required for Ribosome
Biogenesis
LaRonde-LeBlanc
N and Wlodawer A. Crystal structure of A. fulgidus Rio2 defines a new
family of serine protein kinases. Structure 12: 158594, 2004.
ibosome
production is fundamental to cellular proliferation and therefore to tumorigenesis.
Increased nucleolar size, which corresponds to increased ribosomal RNA (rRNA)
production, has long been accepted as a hallmark of tumor cells. rRNA processing
is a stepwise process that requires several non-ribosomal factors. Yeast Rio1,
one such factor, is the founding member of the RIO kinase family. Yeast Rio1
is an essential gene for proper cell cycle progression and chromosome maintenance
in addition to rRNA processing (Angermayr M et al. Mol Microbiol 44:
30924, 2002; Vanrobays E et al. Mol Cell Biol 23: 208395,
2003). Sequence alignments have demonstrated that members of two RIO subfamilies,
Rio1 and Rio2, are represented in organisms across the biological spectrum.
The two subfamilies are distinct in several highly conserved regions of the
catalytic domain, known as subdomainswhich have been shown to be
important for the fold of the domain, or for ATP binding and phosphoryl transfer
catalysis. For example, Rio1 and Rio2 each contain a distinct nucleotide-binding
loop in what is known as subdomain I. In addition, the Rio2 subfamily is characterized
by a conserved N-terminal domain that is not present in Rio1.
The RIO kinases are interesting molecules for several reasons. They are ancient
essential proteins, and it has been suggested that they represent an evolutionary
link between prokaryotic lipid kinases and eukaryotic protein kinases (ePKs).
They are very divergent in sequence from known protein kinases and lack many
of the sequence features required for the function of ePKs. They are rRNA processing
factors with kinase activity and, thus, are attractive potential targets for
therapeutic intervention. To understand the nature of these enzymes and their
relationships to ePKs, we determined the X-ray crystal structure of Rio2 from
Archaeoglobus fulgidus, a hyperthermophilic archaeal organism. Despite
a lack of significant sequence homology to ePKs, the RIO catalytic domain bears
striking structural homology to the canonical kinase domain (Figure
1). The catalytic domain of kinases such as protein kinase A (PKA) contains
11 subdomains. The catalytic domains of members of the RIO kinase family contain
only eight, and these subdomains contain variations that produce differences
in phosphate binding, and perhaps substrate recognition and catalysis as well.
The most significant difference is the complete absence of subdomain VIII, which
is known as the APE (Ala-Pro-Glu), or activation loop. In ePKs, the APE loop
is often phosphorylated to regulate the activity of the kinase and provides
much of the surface for binding to substrate peptide. The lack of this region
in the catalytic domain of Rio2 and other RIO kinases leaves open the question
of how RIO kinases bind their substrates. In addition, we found that the N-terminal
Rio2specific domain adopts a winged helix fold, which is commonly used
by proteins for nucleic acid interactions.

Figure 1. The structure of atypical serine kinase Rio2. A ribbon
illustration of the three-dimensional structure of the Rio2-ATP-Mn complex showing
the secondary structure elements and the various domains. DFG, Asp-Phe-Gly.
Our studies provided a detailed description of the ATP-binding pocket of the
Rio2 proteins. To determine the mode of ATP binding for the Rio2 kinase, we
soaked crystals of the Rio2 protein in a solution containing an ATP analog,
AMPPNP, and Mn2+
ions. Divalent cations are known to be required for catalytic activity, and
RIO kinases retain the metal-binding residues. Although we were able to observe
AMPPNP bound in the active site, we did not find any metal ions. We therefore
concluded that the conformation of the complex was not a productive one, and
that the confines of the crystal did not allow for the conformational changes
required for proper binding of ATP and metal ions. More recent studies confirmed
this conclusion. Crystals of the Rio2-ATP-Mn2+
complex assembled before crystallization contain the ATP molecule as well as
two Mn2+ ions in
the active site. We now know that ATP binds in the RIO kinase domains in a conformation
that is different from canonical ePKs. Due to this difference, the γ-phosphate
is located in a position that would require further conformational changes in
the Rio2 protein for substrate access. These findings support our conclusion
that the peptide substrate binding by RIO kinases must differ significantly
from that of canonical serine kinases.
Because the RIO kinases lack the classical peptide substratebinding loops
and bind ATP in a distinct conformation, it is likely that their inhibitors
will be very distinct from the inhibitors of classical protein kinases. Our
investigations should be helpful in guiding the efforts to develop such inhibitors,
based on the structures of the enzymes from each RIO subfamily with bound nucleotides,
as well as on the planned structural studies of their complexes with peptides.
These discoveries have implications for the role of RIO proteins in rRNA cleavage
and provide a framework for experiments to determine their target and function.
In addition, this work defines, in structural terms, a novel family of atypical
protein serine kinases.
Nicole LaRonde-LeBlanc, PhD
Postdoctoral Fellow
Macromolecular Crystallography Laboratory
NCI-Frederick, Bldg. 539/Rm. 145
Tel: 301-846-5326
Fax: 301-846-5326
nicole@ncifcrf.gov

Telomere Protection Without a Telomerase: The Role of Drosophila ATM and Mre11
in Telomere Maintenance
Bi
X, Wei SC, and Rong YS. Telomere protection without a telomerase; the role of
ATM and Mre11 in Drosophila telomere maintenance. Curr Biol 14: 134853,
2004.
he
conserved ATM checkpoint kinase and Mre11 DNA repair protein participate in
telomere maintenance for both yeast and mammalian cells. We studied their roles
at Drosophila (Drosophila melanogaster) telomeres, which are not maintained
by a canonical telomerase, in the hope that our studies would shed light on
their telomerase-independent function in telomere protection.
In most organisms studied, the ends of a chromosome are elongated by telomerase,
which adds short repeats. In yeast, atm or mre11 mutants have
shortened telomeric repeats, implicating abnormal telomerase activity. Previous
studies have been largely focused on how ATM and Mre11 regulate telomerase activity.
If their function is solely to regulate telomerase activity, one would predict
that they have minimal telomere maintenance function for organisms that employ
alternative telomere-elongating mechanisms, such as D. melanogaster.
Telomeres of Drosophila are enriched with retrotransposons. It is believed that
new copies of these transposons elongate Drosophila chromosomes. In addition,
artificial chromosome ends that lack all transposons have been created and stably
maintained in the lab. It is thus apparent that not only are Drosophila telomeres
not elongated by a telomerase, the normal telomere function in Drosophila does
not even contain a specific DNA element. We tested whether Drosophila ATM or
Mre11 participates in telomere maintenance.
We created knockouts of the fly atm and mre11 by using a novel
homologous gene targeting method. We showed that both mutations disrupt development
and cause lethality in Drosophila. We examined mutant tissues cytologically
and discovered a severe telomere defect for both mutants: multiple telomere
fusions were observed in all the mitotically active cells. On average, about
20% of the telomeres in a nucleus were engaged in fusions, an extent that is
greater than any non-Drosophila case reported. Telomere fusions led to a vicious
“fusion-bridge-breakage” cycle in both mutants, which is similar to
the one first described in maize by McClintock: telomere fusions lead to the
formation of chromosome bridges that connect the separating sister nuclei. These
bridges sometimes break creating new broken ends that can subsequently fuse
with other ends, including telomeres. In both mutants, this devastating cycle
led to widespread genome instability in the forms of chromosome breakage, genome
rearrangements, and gross aneuploidy. By double mutant analyses, we suggest
that Drosophila ATM and Mre11 function in the same telomere-protecting pathway.
Therefore, our findings soundly disprove the hypothesis that Drosophila ATM
and Mre11 have minimal telomere-protecting function. Furthermore, we propose
the existence of a telomerase-independent function for these proteins that is
likely conserved from yeast to human. Our study raises at least two new questions.
First, given that similar mutants in yeast cause no telomere fusion, and thus
no loss of cell viability, and that human and mouse atm mutants are also
viable with much milder telomere dysfunction, why are Drosophila telomeres especially
susceptible to telomere fusion? We propose that “popular telomeres”
have one additional layer of protection than Drosophila telomeres, which is
conferred by the telomerase itself. Not only can telomerase serve as a physical
barrier to prevent fusion, it installs multiple binding sites for various telomeric
repeat binding proteins, which can also cap the telomeres, preventing them from
being repaired as double strand breaks (DSBs). Since Drosophila lack this layer
of telomere protection, the function of ATM and Mre11 at the telomeres becomes
essential for organismal survival. Secondly, what is the nature of this telomerase-independent
mechanism that we propose as conserved throughout evolution? As a first step
toward definitely answering these questions, we identified a separate telomere-protecting
pathway that is regulated by the ATM-related ATR kinase. This pathway is partly
redundant to the one controlled by ATM so that in cells deficient for both ATM
and ATR, all telomeres become unprotected and susceptible to fusion (Bi X et
al. Proc Natl Acad Sci U S A 102: 1516772, 2005). Our current model
is that ATM and ATR protect telomere integrity by safeguarding chromatin architecture
that favors the loading of telomere-elongating and capping proteins.
Yikang S. Rong, PhD
Principal Investigator
Laboratory of Molecular Cell Biology
NCI-Bethesda, Bldg. 37/Rm. 6056
Tel: 301-451-8335
Fax: 301-435-3697
rongy@mail.nih.gov
Scientific Advisory Committee
If you have scientific news of interest to the CCR research
community, please contact one of the scientific advisors (below) responsible
for your areas of research.
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Biotechnology Resources
David J. Goldstein, PhD
dg187w@nih.gov
Tel: 301-496-4347
David J. Munroe, PhD
dm368n@nih.gov
Tel: 301-846-1697
Carcinogenesis, Cancer and Cell Biology, Tumor Biology
Joseph A. DiPaolo, PhD
jd81a@nih.gov
Tel: 301-496-6441
Stuart H. Yuspa, MD
sy12j@nih.gov
Tel: 301-496-2162
Clinical Research
Frank M. Balis, MD
fb2y@nih.gov
Tel: 301-496-0085
Caryn Steakley, RN, MSW
cs397r@nih.gov
Tel: 301-435-3685
Immunology
Jonathan D. Ashwell, MD
ja9s@nih.gov
Tel: 301-496-4931
Jay A. Berzofsky, MD, PhD
jb4q@nih.gov
Tel: 301-496-6874
|
Molecular Biology/
Developmental Biology
Carl Wu, PhD
cw1m@nih.gov
Tel: 301-496-3029
David L. Levens, MD, PhD
levensd@mail.nih.gov
Tel: 301-496-2176
Structural Biology/Chemistry
Larry K. Keefer, PhD
keefer@ncifcrf.gov
Tel: 301-846-1467
Christopher J. Michejda, PhD
cm304t@nih.gov
Tel: 301-846-1216
Sriram Subramaniam, PhD
ss512h@nih.gov
Tel: 301-594-2062
Translational Research
Anita B. Roberts, PhD
ar40e@nih.gov
Tel: 301-496-6108
Elise C. Kohn, MD
ek1b@nih.gov
Tel: 301-402-2726
Leonard M. Neckers, PhD
neckersl@mail.nih.gov
Tel: 301-496-5899
Virology
Vinay K. Pathak, PhD
vp63m@nih.gov
Tel: 301-846-1710
John T. Schiller, PhD
js153g@nih.gov
Tel: 301-496-6539
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CCR Frontiers in ScienceStaff
Center for Cancer Research
Robert H. Wiltrout, PhD, Director
Lee J. Helman, MD, Acting Scientific Director for Clinical Research
Frank M. Balis, MD, Clinical Director
L. Michelle Bennett, PhD, Associate Director for Science
Deputy Directors
Douglas R. Lowy, MD
Jeffrey N. Strathern, PhD
Lawrence E. Samelson, MD
Mark C. Udey, MD, PhD
Editorial Staff
Tracy Thompson, Editor-in-Chief
Sue Fox, BA/BSW, Senior Editor
Lamont Williams, Managing Editor *
Ave Cline, Editor
Terry Taylor, Copy Editor *
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Amy Schneider, Copy Editor *
Rob Wald, Publications Manager *
Michael Fleishman, Graphic Artist *
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* Palladian Partners, Inc.
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