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ProteomeBinders: Planning a European resource of affinity reagents for analysis of the human proteome

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ProteomeBinders is a new European consortium aiming to establish a comprehensive resource of well-characterized affinity reagents, including but not limited to antibodies, for analysis of the human proteome. Given the huge diversity of the proteome, the scale of the project is potentially immense but nevertheless feasible in the context of a pan-European or even worldwide coordination. NOTE: In the version of the article originally published, Manfred Koegl’s name was misspelled. Additionally, Zoltan Konthur's affiliation was listed incorrectly; it should be Max Planck Institute for Molecular Genetics, 14195 Berlin, Germany. These errors have been corrected in the HTML and PDF versions of the article.
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COMMENTARY
ProteomeBinders: planning a European resource of
affinity reagents for analysis of the human proteome
Michael J Taussig
1
, Oda Stoevesandt
1
, Carl A K Borrebaeck
2
, Andrew R Bradbury
3
, Dolores Cahill
4
,
Christian Cambillau
5
, Antoine de Daruvar
6
, Stefan Dübel
7
, Jutta Eichler
8
, Ronald Frank
8
, Toby J Gibson
9
,
David Gloriam
10
, Larry Gold
11
, Friedrich W Herberg
12
, Henning Hermjakob
10
, Jörg D Hoheisel
13
, Thomas O Joos
14
,
Olli Kallioniemi
15
, Manfred Koegl
16
, Zoltán Konthur
17
, Bernhard Korn
13
, Elisabeth Kremmer
18
, Sylvia Krobitsch
17
,
Ulf Landegren
19
, Silvère van der Maarel
20
, John McCafferty
21
, Serge Muyldermans
22
, Per-Åke Nygren
23
,
Sandrine Palcy
6
, Andreas Plückthun
24
, Bojan Polic
25
, Michael Przybylski
26
, Petri Saviranta
15
, Alan Sawyer
27
,
David J Sherman
28
, Arne Skerra
29
, Markus Templin
14
, Marius Ueffing
18
& Mathias Uhlén
23
ProteomeBinders is a new European consortium aiming to establish a comprehensive resource of well-
characterized affinity reagents, including but not limited to antibodies, for analysis of the human
proteome. Given the huge diversity of the proteome, the scale of the project is potentially immense but
nevertheless feasible in the context of a pan-European or even worldwide coordination.
To explore the full complexity and func-
tion of the human proteome, it is essential
to establish a comprehensive, characterized
and standardized collection of specific bind-
ing molecules (‘binders’) directed against
all individual human proteins, including
variant forms and modifications. Primed
with the knowledge of the human genome,
such a systematic bank of affinity reagents
would be a crucial precompetitive resource
to understand and exploit the proteome
1
.
Yet although affinity reagents are undeni-
ably of central importance for proteomics,
they presently cover only a very small frac-
tion of the proteome, and even though there
are many antibodies against some targets
(for example, >900 antibodies against p53),
there are none against the vast majority of
proteins. Moreover, widely accepted stan-
dards for binder characterization are vir-
tually nonexistent. Establishing a binder
collection will not be an end in itself, but
must be accompanied by development of
high-throughput assay systems and new-
generation protein-detection technologies.
The benefits would include cost-effective
reagent production and access as well as
improved interlaboratory reproducibility,
and will have an impact on basic research
and medicine as well as the biotechnology
and pharmaceutical industries.
ProteomeBinders: vision and goals
ProteomeBinders is a new European consor-
tium with the vision of establishing an infra-
structure resource of binding molecules for
the entire human proteome, together with
tools for their use and applications in study-
ing proteome function and organization.
When mature, the resource could be simi-
lar in nature to the American Type Culture
Collection (ATCC) for cell lines, making the
reagents available at cost and with no restric-
tions for research use. In this Commentary,
we present the long-term goals of the
ProteomeBinders initiative as well as the
current activities of the consortium. The
current 4-year, 1.8M ($2.37M) initia-
tive, funded by the European Commission
6
th
Framework Programme in the area of
Research Infrastructures, is a ‘Coordination
Action’ involving a network of 26 EU and 2
US partner institutions, leaders in the area of
affinity-reagent production, characterization
and application (see Supplementary Table 1
online for a list of the lead participants in the
ProteomeBinders consortium).
The consortium will coordinate several
complementary activities:
1. Assessing the resources and methods
required to develop a complete collection
of binding molecules, from representa-
tion of the proteome in cDNA collections
to binder selection and production.
2. Reviewing the properties of different
molecular types of binders, including
natural and recombinant antibodies, scaf-
fold domains, peptides and nucleic acid
aptamers, and linking them with pro-
teomics tools and applications in research,
diagnostics and therapeutics.
3. Establishing criteria and methods for uni-
versally applicable quality assessment and
validation.
4. Defining standards for data representa-
tion and establishing a bioinformatics
platform to display information on char-
acterization of individual binders.
5. Planning the long-term production strat-
egy and organization of the binder infra-
structure.
The consortium will hold regular open
workshops and disseminate information on
the results of its activities through its web-
site (http://www.proteomebinders.org),
which will also contain a list of quality-
assured binding reagents from all sources.
In subsequent phases, the consortium aims
to benchmark different types of binders and
Affiliations are listed at the end of the paper.
e-mail: mike.taussig@bbsrc.ac.uk
©2007 Nature Publishing Group http://www.nature.com/naturemethods
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production methods against defined sets of
proteins to select those most appropriate
for various applications. Embarking on the
task of assembling the resource by system-
atically collecting and/or creating the tens
of thousands of reagents needed will require
an application for much more substantial
funds, for example, from the next European
Commission Framework Program, FP7,
starting in 2007.
Scale of the problem
The size of the human proteome (including
splice variants, post-translational modifica-
tions, polymorphisms) is generally recog-
nized to be at least an order of magnitude
greater than the ~24,000 protein-coding
genes (http://www.ensembl.org). This
raises several central questions, presently
being debated within the ProteomeBinders
consortium: ‘Is comprehensive coverage of
the proteome realistic?’ ‘How should tar-
gets be prioritizedby biological or medi-
cal relevance, by unknown function, or
according to other criteria (chromosome,
etc)?’ Another factor in the scale of the task
is that several binders against each target
will be required, depending on the nature
of the samples (denatured or native), the
biological status of the protein (post-trans-
lationally modified or not) or the detection
mode of the assay (for example, sandwich
configurations).
Choices and challenges in developing a
binder collection
The consortium will consider the following
stages in binder production and application
to reach a consensus for future action.
Target generat i on. Full-length proteins,
probably the optimal targets for binder
selection, can be expressed from cDNA col-
lections
2
using a variety of systems (bac-
terial
3
, insect, mammalian, cell-free), but
there is often limited success in obtaining
them in soluble, correctly folded form
4,5
.
Protein fragments or peptides are alterna-
tives, especially combined with large-scale
epitope prediction. ‘Protein epitope signa-
ture tags’ (PrESTs)
6
are genome-unique,
nonrepetitive and nonhydrophobic protein
subsequences, shown in the Swedish human
proteome atlas project to be suitable for
raising and affinity purifying polyclonal
antibodies (http://www.proteinatlas.org)
7
.
ProteomeBinders aims to integrate existing,
but presently fragmented, bioinformatics
tools into distributed and/or virtual facili-
ties that specifically address target-site selec-
tion within proteins. In the context of con-
structing a large-scale binder resource, an
important goal will be to reduce the amount
of target required (and hence also the cost),
for example, by using microarrays for selec-
tion or using micro- or nanotechnology for
specificity and affinity assays
8
.
Molecular varieties of binders: antibodies
and alternatives. Antibodies are by far the
most familiar and best understood affin-
ity reagentsand generally the research-
er’s first choicebut not the only ones.
ProteomeBinders unites expertise both on
antibodies and alternative binding reagents
with antibody-like specificity and affinity,
including nonimmunoglobulin scaffolds
9,10
(Affibodies
11
, Anticalins
12
, designed Ankyrin
repeat proteins
13
and others), nucleic acid
aptamers
14
, peptides and chemical entities
(Box 1). Antibodies (including monoclo-
nals, monospecific polyclonals, camelid
heavy chains
15
, and recombinant scFv frag-
ments and single domains) are considerably
more difficult to produce compared to high-
yield bacterial expression of some alternative
scaffolds
13
. The latter are also more robust
and provide opportunities for engineering
of functional properties. Among the attrac-
tions of antibodies are widespread compe-
tence in technologies, access to large libraries
for recombinant selection
16
and availability
of secondary reagents and detection systems.
Recombinant binding molecules have the
advantage of being completely described
by their sequence, so that documentation
and replication of experiments can be more
objective. Though there may be a problem of
wide acceptance of the alternatives to anti-
bodies, users may well not be too concerned
with the structure of the reagent, so long as
it has been demonstrated to work in their
particular application. Accordingly, the con-
sortium will undertake benchmarking of the
properties of alternative binders alongside
conventional antibodies to define the ‘right
binder for the job. Whatever the molecular
species, sustainability will be a key factor: ulti-
mately, a replenishable resource is required.
Binder production methods and scaling. The
production of binding molecules for a sys-
tematic program can be contrasted in many
BOX 1 DIFFERENT TYPES OF AFFINITY BINDERS
Antibodies and their fragments are the most familiar and widely used binding
reagents. In comparison, protein scaffolds are often more robust (for example, in
storage, reuse on columns) and give higher production yields in bacterial expression
systems, partly due to the lack of cysteine residues. Aptamers stand out as being
nucleic acid–based binding molecules, permitting simple production by synthesis or
PCR, and distributable as sequence information. Libraries of small-molecule binders
and peptides are accessible through combinatorial synthesis. Compared to a whole
immunoglobulin, alternative binders are small, resulting in less steric hindrance,
and are more readily used in intracellular applications. For the non–immunoglobulin
binder formats, however, expertise is often limited to single laboratories and few
libraries exist for distribution.
Inclusion into the yellow oval in the image indicates compatibility with in vitro
selection methods (see Box 2).
Antibodies
Recombinant
immunoglobulin fragments
Fab
scFv
Alternative
protein scaffolds
DNA or RNA
aptamers
Small molecules
Peptides Organics
Nonimmunoglobulin binders
©2007 Nature Publishing Group http://www.nature.com/naturemethods
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respects with hypothesis-driven research
(Table 1). For classical’ antibodies, the pro-
duction routes are either to raise polyclonals
(purified for monospecificity) or hybridomas;
throughput of monoclonals can be increased
by immunization with antigen mixtures and
selections on protein arrays
17
. For all molec-
ular binder varieties, recombinant display
library approaches can be applied and cou-
pled with several possible selection methods.
Systems with established track records such
as phage display
18
, ribosome display
19,20
, cell-
surface display, bacterial two-hybrid, func-
tional colony screening, protein-fragment
complementation
21
, SELEX
22
for aptamer
selection and combinations of these meth-
ods
23
will be compared taking into account
the molecular entity being selected and the
intended downstream applications (Box 2).
For example, if affinity is crucial, technologies
with built-in evolution will be required (for
example, ribosome display
24
), whereas if only
‘some binder at some epitope is needed, more
technologies become available and selection
is less stringent. For intracellular applications,
binders should fold functionally in the reduc-
ing environment of the cell
25
. Other technol-
ogy evaluation criteria include robustness,
library creation and size, range of scaffolds
that can be expressed, automation, and lim-
its of scale and throughput. Contributions
of the consortium will be to deliver effective
protocols and actively check their robustness
by rotating and annotating them between
laboratories, and to identify potentially auto-
matable steps, distinguishing those that are
generic from the method-specific ones.
Characterization and quality control. The
critical area of quality control is all too often
sidelined. Validation will be a central issue;
there will be a requirement to demonstrate
the quality of selection methods and binder
formats, as well as of each individual binder.
Although different binder types may have
superior characteristics for defined applica-
tions, certain criteria (affinity, specificity
8
and cross-reactivity, native or denatured
target, stability in vivo and in vitro, associa-
tion and dissociation rate constants
26,27
)
are applicable across all formats. The con-
sortium will establish reference criteria
for binder quality control and validation,
which could eventually become a ‘gold stan-
dard’ in the research and commercial areas.
Besides the classical tests of performance,
for example, ELISA and western blotting,
other validation methods range from pro-
tein and tissue microarrays to genomic
correlations with transcript levels, gene
knockouts, transgenesis and bioinformatic
predictions (Table 2)
7
. High-throughput
systems for initial specificity screens may be
combined with advanced kinetic analyses
for binder optimization
28
.
Linking binders to tools and applications.
The area of application is perhaps the most
important criterion in choosing binder
type, selection technology and character-
ization methods. Binder uses include high-
throughput array methods (capture, tissue,
lysate arrays) as well as the more classical
techniques. For diagnostic and prognostic
purposes, the pattern of information
29
that
can be gained from target-binder interac-
tion is more important than specificity of
the binding event, as long as reproducibil-
ity and correlation with disease are high.
In contrast, for functional analyses, where
the global proteome-wide approach is par-
ticularly applicable, specificity is essential.
Accordingly, the parameters by which bind-
ers have to be evaluated can be very differ-
ent. It is imperative to define applications
beforehand and design or refine the selec-
tion process accordingly.
Novel methods to measure large sets
of proteins using affinity reagents are
becoming available, for example, fluo-
rescence cross-correlation spectrosco-
py
30
and proximity ligation approaches,
coupled with DNA amplification
31–33
.
Further new-generation techniques must
be evolved, particularly to improve sen-
sitivity and specificity of detection (ulti-
mately down to the single-molecule or
single-cell level), the ability to perform
highly multiplexed assays in individual
samples, and to determine the spatial dis-
tribution of large numbers of molecules
in cells and tissues.
Bioinformatics resources. ProteomeBinders
will develop community standards for binder
data representation in collaboration with the
Human Proteome Organization (HUPO)
Proteomics Standards Initiative
34
(http://
psidev.sourceforge.net/). Crucial param-
eters of binder-target interactions have to be
identified and an ontology of binder proper-
ties formally defined. These standards will be
implemented in a comprehensive database
of binders and other web resources, ideally
in collaboration with other major binder
providers. The database structure needs to
anticipate the information to be captured, to
allow retrieval of binders matching certain
criteria and allow users a meaningful assess-
ment of their performance. Basic search-
able information should include the gene
identifier of the target, the form of the target
used for the binder generation or selection,
Table 1 | Comparison of binder generation for ‘classical’ hypothesis-driven research and systematic approaches (adapted from ref. 36)
Hypothesis-driven Systematic (proteomics)
Targets Single protein Large numbers of proteins
Known and available (target production usually not part of the
binder generation process)
Usually not known or available (to be provided in an integrated
process)
At least partially characterized Properties unknown
Selection process Number of steps is not an issue Optimized for minimal number of steps
Optimized for lowest failure rate Several percent failure rate is not critical
Resulting binders Individual assay conditions can be specified by end user Standardization (for example, for parallel assays on arrays)
Individual binders not selected or necessarily suited for parallel
application under standardized conditions
Standardized selection and quality control schemes ensure
suitability for systematic approaches (for example, minimized
cross-reactivity)
Large amounts of single binders Small amounts of many binders (for example, for arrays)
Sources Many companies No commercial service available to handle the scale needed
Overall cost Not a central issue Optimized for minimal cost
©2007 Nature Publishing Group http://www.nature.com/naturemethods
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a description of the molecular nature of the
binder, the results from quality assurance
and information about suggested applica-
tions and availability of the binder.
Intellectual property. Patent issues may
well influence choices of binders and selec-
tion methods. Intellectual property rights
to binders must be respected. It should be
possible to find a model whereby the inven-
tors of techniques for production of binders
benefit from having their reagents selected
by such a program. The relationship between
an open access resource and commercial
activities will doubtless be a topic of future
debate.
Strategies for the long-term production
phase
Clearly, new binders have to be made in very
large numbers. For antibodies, outsourcing
BOX 2 21
ST
VERSUS 20
TH
CENTURY BINDER GENERATION TECHNOLOGIES:
WHY USE IN VITRO–SELECTED AFFINITY REAGENTS?
In vitro recombinant selection systems link genotype and phenotype of the binding molecule. Features are:
• Scope of targets is not limited by the response of the immune system.
Sequence information is sufficient to archive and recreate (and eventually distribute?) binders, which may avoid the need for a
physical binder repository.
Multiple mutagenesis-selection
rounds: binders can be matured to
picomolar affinity.
Truly monoclonal, but can be made
oligo- or polyclonal as desired.
Functional domains and tags can be
fused for downstream applications,
for example: detection (GFP, alkaline
phosphatase); multimerization to
generate avidity and/or bispecificity
(coiled coils); technology bridging
(Fc fusionsaccess IgG-based
technology, for example, secondary
reagents); tethering (immobilization
tags, for example, for array
generation).
Generation of fully human antibody
fragments is possible, for example,
for therapy.
High throughput: standard
selections yield 10 binders per
target.
• Avoid use of animals.
Ribosome display
Phage
display
Cellular
display
Binder gene
Binder
SELEX for
aptamers
Protein-
fragment
complementation assay
20
th
century
21
st
century
21
st
century
Huge repertoire
of
binder genes
Table 2 | Validation criteria and methods for proteome binding molecules (adapted from ref. 7)
Approach based on Examples of methods Issues
Antigen (as used for immunization or in vitro
selection)
ELISA, protein array, SPR The antigen used in the selection is not always the
target for later analyses.
Protein target (from natural sources, for example,
cell lysate)
Western blot, IHC Leaves margin of doubt in the absence of unpurified
target as a control.
RNA (plausibility control to compare mRNA and
protein expression levels)
Transcript profiling, in situ hybridization Correlation of mRNA and protein levels is unknown.
Genetics (use genetic mutants or recombinant
constructs to manipulate target in a defined way)
Transgenesis, RNAi, GFP fusions for comparison
with IHC
Good validation if consistent with observed behavior
of binder, for example, decreased binding upon RNAi
knockdown of target.
DNA (use sequence information on target) Bioinformatic analysis using predictive algorithms Validation of localization in the absence or presence
of transmembrane regions, localization signals and
others
Epitope (compare results from two or more
different binders to different areas, for example,
PrESTs, of same target)
ELISA, protein array, western blot, IHC Mutual validation of binders if corresponding
binding behavior is detected.
IHC, immunohistochemistry; SPR, surface plasmon resonance.
©2007 Nature Publishing Group http://www.nature.com/naturemethods
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to multiple sites can be considered. After
adequate assessment, existing binders from
the research community and commercial
suppliers can also be incorporated. However,
quality control and characterization should
be retained within the consortium to ensure
standardization. When trying to match the
available funding with the task of generat-
ing more than 100,000 reagents, it becomes
clear that new solutions and technical opti-
mizations must be found. High-throughput
approaches must be adopted at all levels,
from protein expression and binder produc-
tion to multiplexed assays and multiparam-
eter tests
35
, and will be an integral part of any
design of a binder-generation pipeline
36
.
Networking in and beyond Europe
Other initiatives in the area of affin-
ity reagents are the US National Cancer
Institute proteome reagents program,
focused mainly on cancer-related mono-
clonals
37
(http://proteomics.cancer.gov),
the HUPO antibody initiative (http://
www.hupo.org/research/hai/) and the
Swedish human proteome atlas project
7
(http://www.proteinatlas.org). Antibody
Factory (http://www.antibody-factory.de),
is a German national initiative to develop
high-throughput recombinant antibody
methods
35,38
. Additionally, small-molecule
library initiatives have as their ultimate goal
generating ligands for every human protein
7
function as anticipated by the US National
Institutes of Health Molecular Libraries
Screening Network
39
(http://nihroadmap.
nih.gov/molecularlibraries/), Germany’s
ChemBioNet (http://www.chembionet.
de/) and the new Spanish ChemBioBank
(http://www.pcb.ub.es/chembiobank/). At
the moment, these initiatives are indepen-
dent and in some cases complementary;
however, given the scale of the problem, it
would seem that in the future, the only way
to tackle the task will be through coordina-
tion of activities.
Meanwhile, individual researchers have
a critical role to play in shaping a resource
that will eventually be theirs to use and
they are expected to contribute to the effort
by their comments and experience. The
ProteomeBinders consortium welcomes
comments and discussion from the wider
community, via the website (http://www.
proteomebinders.org) and participation in
annual meetings (the next open workshop
is in Alpbach, Austria, March 13–16 2007;
details from oda.stoevesandt@bbsrc.ac.uk).
Note: Supplementary information is available on the
Nature Methods website.
ACKNOWLEDGMENTS
This article is dedicated to the memory of our
consortium partner Jane Steel who tragically died
last summer.
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1
Technology Research Group, The Babraham Institute, Cambridge CB22 3AT, UK.
2
Department of Immunotechnology, Lund University, SE-221 84 Lund, Sweden.
3
Los
Alamos National Laboratory, Los Alamos, New Mexico 87545, USA.
4
Conway Institute, University College Dublin, Belfield, Dublin 4, Ireland.
5
Centre Nationale de la Recherche
Scientifique, Universités Aix-Marseille I and II, 13288 Marseille Cedex 09, France.
6
Centre de Bioinformatique de Bordeaux, Université Bordeaux 2, 33076 Bordeaux Cedex,
France.
7
Technical University Braunschweig, Institute of Biochemistry and Biotechnology, D-38106 Braunschweig, Germany.
8
Helmholtz Center for Infection Research,
D-38124 Braunschweig, Germany.
9
European Molecular Biology Laboratory, D-69117 Heidelberg, Germany.
10
European Bioinformatics Institute, Hinxton, Cambridge CB10
1SD, UK.
11
SomaLogic Inc., Boulder, Colorado 80301, USA.
12
Department of Biochemistry, University of Kassel, 34132 Kassel, Germany.
13
German Cancer Research Center,
D-69120 Heidelberg, Germany.
14
Natural and Medical Sciences Institute at the University of Tübingen, 72770 Reutlingen, Germany.
15
VTT, Technical Research Center of
Finland, FIN-20521 Turku, Finland.
16
Resource Center for Genome Research, D-69120 Heidelberg, Germany.
17
Max Planck Institute for Molecular Genetics, 14195 Berlin,
Germany.
18
Institute of Human Genetics, GSF, National Research Center for Environment and Health, D-85764 Munich-Neuherberg, Germany.
19
Department of Genetics and
Pathology, The Rudbeck Laboratory, Uppsala University, SE-751 85 Uppsala, Sweden.
20
Leiden University Medical Center, 2300 RC Leiden, The Netherlands.
21
The Wellcome
Trust Sanger Institute, Hinxton, Cambridge CB10 1SA, UK.
22
Vrije Universiteit Brussels, B-1050 Brussels, Belgium.
23
Royal Institute of Technology, AlbaNova University
Center, SE-106 91 Stockholm, Sweden.
24
University of Zurich, Department of Biochemistry, Winterthurerstrasse 190, CH-8057 Zurich, Switzerland.
25
Medical Faculty
University of Rijeka, Brace Branchetta 20, HR-51000 Rijeka, Croatia.
26
University of Konstanz, Department of Chemistry, D-78457 Konstanz, Germany.
27
European Molecular
Biology Laboratory Monterotondo, Via Ramarini 32, Monterotondo-Scalo 00015, Italy.
28
Laboratoire Bordelais de Recherche en Informatique, 33405 Talence Cedex, France.
29
Lehrstuhl für Biologische Chemie, Technische Universität München, D-85350 Freising-Weihenstephan, Germany.
©2007 Nature Publishing Group http://www.nature.com/naturemethods
Corrigendum: ProteomeBinders: planning a European resource of
affinity reagents for analysis of the human proteome
Michael J Taussig, Oda Stoevesandt, Carl A K Borrebaeck, Andrew R Bradbury, Dolores Cahill, Christian Cambillau, Antoine de Daruvar,
Stefan Dübel, Jutta Eichler, Ronald Frank, Toby J Gibson, David Gloriam, Larry Gold, Friedrich W Herberg, Henning Hermjakob,
Jörg D Hoheisel, Thomas O Joos, Olli Kallioniemi, Manfred Koegl, Zoltán Konthur, Bernhard Korn, Elisabeth Kremmer, Sylvia Krobitsch,
Ulf Landegren, Silvère van der Maarel, John McCafferty, Serge Muyldermans, Per-Åke Nygren, Sandrine Palcy, Andreas Plückthun,
Bojan Polic, Michael Przybylski, Petri Saviranta, Alan Sawyer, David J Sherman, Arne Skerra, Markus Templin, Marius Ueffing &
Mathias Uhlén
Nat. Methods 4, 13–17 (2007); published online 28 December 2006; corrected after print 18 January 2007.
In the version of the article originally published, Manfred Koegl’s name was misspelled. Additionally, Zoltán Konthur’s affiliation was incor-
rect; it should be Max Planck Institute for Molecular Genetics, 14195 Berlin, Germany. These errors have been corrected in the HTML and
PDF versions of the article.
CORRIGENDUM
©2007 Nature Publishing Group http://www.nature.com/naturemethods
... In this antibody bounty, change-makers see limitations and relics of an outdated era. Change is needed because labs no longer wish to be stung by the discovery that catalog antibodies work in a published paper but fail on their bench [1][2][3][4] . Chasing down the reason -is the failure due to the antibody, the application or the latest El Niño oscillation? ...
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... Antibodies have long been powerful tools for basic research, diagnostics, and treatment of diseases [1][2][3] and are currently the fastest-growing class of therapeutic molecules. Recombinant antibody (rAb) fragments are now emerging as promising alternatives to full-length monoclonal antibodies (mAbs) since they are smaller, retaining the targeting specificity of the whole mAbs, but can be produced more economically, are easily amenable to genetic manipulation, and possess other unique and superior properties that are advantageous in certain medical applications. ...
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... In addition to conventional Ig molecules, smaller formats are also being developed, such as antigen binding fragments (Fabs) and single chain variable fragments (scFv) [10,11]. The engineering of smaller antibody fragments has shown an improved rate of tumour uptake and intratumoral distribution [reviewed in 12,13]. ...
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... Over the last two decades, mass spectrometry-based proteomics has emerged as one of the most effective approaches for analyzing PTMs and identifying their sites of attachment on proteins, including phosphoproteins 7,[13][14][15] . Given the steady increase in the number of functionally important phosphorylation sites that have been uncovered, there is a growing need for phospho-specific binding molecules 16 that can be developed for traditional biochemical approaches as well as advanced techniques such as single-cell analysis [17][18][19] and high-throughput assay systems [20][21][22] . The most common affinity reagents for detecting PTMs, and more specifically phospho-modified sites, are conventional monoclonal antibodies (mAbs) that have been raised in mice 23 . ...
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... Animal-friendly affinity (AFA) reagents are alternatives to antibodies, produced without immunization of animal. These antibodies are typically selected in vitro by phage, ribosome, or yeast display, but they also include non-antibody reagents such as DAR-Pins, affibodies, monobodies, anticalins etc (Taussig et al., 2007;Dübel et al., 2010). In a recent review by Gray et al., (2016); a comparative analysis is done between animal derived antibodies and AFAs. ...
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... A systematic approach using MS to qualify antibodies for their use in plasma proteomics assays has just recently been described (62). While the generation of natural or synthetic affinity reagents is discussed in detail elsewhere (63), and an increasing diversity of reagent types is making them attractive across the different fields of life science, they must be assessed separately for their use in plasma assays and the applied technologies. ...
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... Transfection is an important tool in molecular biology that is applicable for gene therapy studies in humans using methods such as LTR-Specific Tre-Recombinase [23], the Sleeping Beauty (SB) transposon system [24] and the clustered, regularly interspaced, short palindromic repeat (CRISPR) technology [25]. One of the biggest challenges to investigate the protein function and interaction in gene therapy studies is to have reliable monospecific detection reagents, particularly antibodies, for all human gene products [26,27]. Transfection efficiency can be affected by multiple experimental parameters such as the choice of the transfection method, health, and viability of the cell line, degree of confluency, quality and quantity of the nucleic acid used [1,2]. ...
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Chapter
The BeginningThe First PatentCreation of NeXagen and NeXstarDiagnostic ImagingAptamer TherapeuticsAptamer-based Diagnostics at SomaLogicDo Natural Aptamers Exist?Conclusions – SELEX Lessons for Drug DiscoveryAcknowledgmentsReferences
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High-affinity nucleic acid ligands for a protein were isolated by a procedure that depends on alternate cycles of ligand selection from pools of variant sequences and amplification of the bound species. Multiple rounds exponentially enrich the population for the highest affinity species that can be clonally isolated and characterized. In particular one eight-base region of an RNA that interacts with the T4 DNA polymerase was chosen and randomized. Two different sequences were selected by this procedure from the calculated pool of 65,536 species. One is the wild-type sequence found in the bacteriophage mRNA; one is varied from wild type at four positions. The binding constants of these two RNA's to T4 DNA polymerase are equivalent. These protocols with minimal modification can yield high-affinity ligands for any protein that binds nucleic acids as part of its function; high-affinity ligands could conceivably be developed for any target molecule.
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We describe a rapid, eukaryotic, in vitro method for selection and evolution of antibody combining sites using antibody-ribosome-mRNA (ARM) complexes as selection particles. ARMs carrying single-chain (VH/K) binding fragments specific for progesterone were selected using antigen-coupled magnetic beads; selection simultaneously captured the genetic information as mRNA, making it possible to generate and amplify cDNA by single-step RT-PCR on the ribosome-bound mRNA for further manipulation. Using mutant libraries, antigen-binding ARMs were enriched by a factor of 104–105-fold in a single cycle, with further enrichment in repeated cycles. While demonstrated here for antibodies, the method has the potential to be applied equally for selection of receptors or peptides from libraries.
Article
By analyzing the human antibody repertoire in terms of structure, amino acid sequence diversity and germline usage, we found that seven V(H) and seven V(L) (four Vkappa and three Vlambda) germline families cover more than 95 % of the human antibody diversity used. A consensus sequence was derived for each family and optimized for expression in Escherichia coli. In order to make all six complementarity determining regions (CDRs) accessible for diversification, the synthetic genes were designed to be modular and mutually compatible by introducing unique restriction endonuclease sites flanking the CDRs. Molecular modeling verified that all canonical classes were present. We could show that all master genes are expressed as soluble proteins in the periplasm of E. coli. A first set of antibody phage display libraries totalling 2x10(9) members was created after cloning the genes in all 49 combinations into a phagemid vector, itself devoid of the restriction sites in question. Diversity was created by replacing the V(H) and V(L) CDR3 regions of the master genes by CDR3 library cassettes, generated from mixed trinucleotides and biased towards natural human antibody CDR3 sequences. The sequencing of 257 members of the unselected libraries indicated that the frequency of correct and thus potentially functional sequences was 61 %. Selection experiments against many antigens yielded a diverse set of binders with high affinities. Due to the modular design of all master genes, either single binders or even pools of binders can now be rapidly optimized without knowledge of the particular sequence, using pre-built CDR cassette libraries. The small number of 49 master genes will allow future improvements to be incorporated quickly, and the separation of the frameworks may help in analyzing why nature has evolved these distinct subfamilies of antibody germline genes.