V-gene amplification revisited – An optimised procedure for amplification of rearranged human...
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RESEARCH PAPER New Biotechnology � Volume 27, Number 2 �May 2010
V-gene amplification revisited – Anoptimised procedure for amplification ofrearranged human antibody genes ofdifferent isotypesTheam Soon Lim1,2,3, Svetlana Mollova1,4, Florian Rubelt1,2, Volker Sievert1,Stefan Dubel4, Hans Lehrach1 and Zoltan Konthur1
1Max Planck Institute for Molecular Genetics, Department of Vertebrate Genomics, Ihnestrasse 73, 14195 Berlin, Germany2 Free University Berlin, Faculty of Biology, Chemistry and Pharmacy, Takustrasse 3, 14195 Berlin, Germany3 Institute for Research in Molecular Medicine, Universiti Sains Malaysia, 11800 Penang, Malaysia4 Technical University Braunschweig, Institute for Biochemistry and Biotechnology, Department of Biotechnology, Spielmannstrasse 7, 38106 Braunschweig,
Germany
For studying human antibody variable (V)-gene usage in any group of individuals or for the generation of
recombinant human antibody libraries for phage display, quality and yield of the amplified V-gene
repertoire is of utmost importance. Key parameters affecting the amplification of full antibody repertoires
are V-gene specific primer design, complementary DNA (cDNA) synthesis from total RNA extracts of
peripheral blood mononuclear cells (PBMCs) and ultimately the polymerase chain reaction (PCR). In this
work we analysed all these factors; we performed a detailed bioinformatic analysis of V-gene specific
primers based on VBASE2 and evaluated the influence of different commercially available reverse
transcriptases on cDNA synthesis and polymerases on PCR efficiency. The primers presented cover near to
100% of all functional and putatively functional V-genes in VBASE2 and the final protocol presents an
optimised combination of commercial enzymes and reaction additives for cDNA synthesis and PCR
conditions for V-gene amplification. Finally, applying this protocol in combination with different
immunoglobulin (Ig) chain specific reverse primers we were able to amplify rearranged antibody genes of
different isotypes under investigation.
IntroductionThe complexity of the rearranged human antibody repertoire is
composed by the various V-genes and isotypes present in nature.
To obtain a fully functional and specific antibody to any given
target, the antibodies are going through a complex process of
diversification of antigen recognition sites, which is attributed
to several combinatorial mixing processes of the V-gene repertoire
in vivo. These involve the primary somatic recombination of the
variable (V), diversity (D) and joining (J) segments, as well as
somatic hypermutation and affinity maturation [1]. The potency
of the natural repertoire of antibodies is further increased by class-
switching of the heavy chain, whereby the B cells start producing
different immunoglobulin isotypes (IgA, IgD, IgE, IgG or IgM) with
Corresponding author: Konthur, Z. ([email protected])
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different effector functions – required to effectively eliminate an
antigen.
VBASE2 is a database of human and mouse immunoglobulin V-
gene germ-line sequences containing a total of 576 human heavy
and light chain V-genes annotated up to date [2,3]. It offers the
possibility to obtain details about the V-genes, such as nucleotide
and amino acid sequences, as well as functionality and evidence of
the genes. To be able to perform comprehensive investigations into
the V-gene usage in any group of individuals, as many as possible of
all V-genes should be considered [4–7]. Efficient amplification of all
V-genes simultaneously with a set of primers would ease this task
considerably; however the accuracy of amplification should be
maximal without skewing the representation of individual V-genes.
In addition, its application would simplify the process of template
preparation for making combinatorial antibody libraries, such as
- see front matter � 2010 Elsevier B.V. All rights reserved. doi:10.1016/j.nbt.2010.01.001
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TABLE 1
Bioinformatic analysis of oligonucleotides for amplification of V-genes based on family assigned genes from VBASE2
Family No. of covered(not covered)genes
Primer Primer sequence Folddegeneracy
Mismatches#
0 0 [%] 1 1 [%] 2 2 [%] 3 3 [%] 4 4 [%]
Variable Heavy ChainVH1 43 (1*) VH1 CAGGTCCAGCTKGTRCAGTCTGG 4 4 9.3 1 2.3 5 11.6
VH157 CAGGTGCAGCTGGTGSARTCTGG 4 16 37.2 3 7.0 4 9.3
VH1 & VH157 7 16.3 1 2.3 2 4.7
VH2 10 VH2 CAGRTCACCTTGAAGGAGTCTG 2 7 70 3 30
VH3 130 (5*) VH3 GAGGTGCAGCTGKTGGAGWCY 8 81 62.3 27 20.8 15 11.5 6 4.6 1 0.8
VH4 31 VH4 CAGGTGCAGCTGCAGGAGTCSG 2 21 67.7 6 19.4 1 3.2VH4-DP63 CAGGTGCAGCTACAGCAGTGGG 1 2 6.5 1 3.2
VH5 4 VH157 4 2 50 2 50
VH6 2 VH6 CAGGTACAGCTGCAGCAGTCA 1 2 100
VH7 6 VH157 4 5 83.3 1 16. 7
Variable Light Kappa ChainVK1 61 (6*) VK1 GACATCCRGDTGACCCAGTCTCC 6 45 73.8 12 19.7 2 3.3 2 3.3
VK2 29 (10*) VK246 GATATTGTGMTGACBCAGWCTCC 12 15 51.7 7 24.1 2 6.9 4 13.8 1 3.4
VK3 21 (4*) VK3 GAAATTGTRWTGACRCAGTCTCC 8 17 81.0 2 9.5 1 4.8 1 4.8
VK4 1 VK246 12 1 100
VK5 1 VK5 GAAACGACACTCACGCAGTCTC 1 1 100
VK6 4 VK246 12 3 75 1 25
Variable Light Lambda ChainVl1 13 (1*) Vl1 CAGTCTGTSBTGACGCAGCCGCC 6 7 53.8
Vl1459 CAGCCTGTGCTGACTCARYC 4
Vl15910 CAGCCWGKGCTGACTCAGCCMCC 8
Vl1459 & Vl15910 6 46.2
Vl2 18 Vl2 CAGTCTGYYCTGAYTCAGCCT 8 16 88.9 2 11.1Vl3 22 (1*) Vl3 TCCTATGWGCTGACWCAGCCAA 4 6 27.3
Vl3-DPl16 TCCTCTGAGCTGASTCAGGASCC 4 2 9.1 1 4.6
Vl3-38 TCCTATGAGCTGAYRCAGCYACC 8 8 36.4 1 4.5
Vl3 & Vl3-38 2 9.1 1 4.6 1 4.6
Vl4 4 Vl1459 4 1 25 2 50 1 25
Vl5 11 Vl1459 4 5 45.5 4 36.4 1 9.1
Vl15910 8
Vl1459 & Vl15910 1 9.1
Vl6 6 Vl6 AATTTTATGCTGACTCAGCCCC 1 5 83.3 1 16.7
Vl7 5 Vl78 CAGDCTGTGGTGACYCAGGAGCC 6 4 80 1 20
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RESEARCH PAPER New Biotechnology � Volume 27, Number 2 �May 2010TA
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K2:humIGKV038,humIGKV039,humIGKV042,humIGKV076,humIGKV100,humIGKV132,humIGKV138,humIGKV178,humIGKV195,humIGKV197;
VK
3:humIGKV119,humIGKV122,humIGKV176,humIGKV194;V
l1:humIGLV163;V
l3:humIGLV171.
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used in phage display or ribosome display. A good coverage of V-
genes is beneficial when generating antibody libraries for phage
display to ensure the retrieval of diverse set of binding antibodies
during selection.
Multiple PCR primers are required to amplify entire V-gene
repertoires. Primers specific for human [8–10], mice [11,12], rat
[11,13] and chicken [14] V-genes have been reported. However, the
complexity of V-gene amplification is multifaceted by the fact that
different sets of reverse primers need to be used for cloning and
retrieval of only variable domains of all Ig-classes or variable
domains with specific isotype information.
The generation of human antibodies was made possible with the
advent of recombinant DNA and in particular the development of
the polymerase chain reaction technology. The effectiveness of PCR
as a powerful technique for in vitroamplification of genetic materials
is undisputable [15] and credited to the specificity, efficiency and
fidelity of the reaction. Amplification efficiency is the most impor-
tant parameter as it influences the product yield [16].
In addition to reassessing primer design for human V-gene
amplification, we therefore investigated two crucial parameters
influencing the amplification of DNA in PCR: the generation of
template cDNA by different reverse transcriptases (RTases) and the
efficiency of DNA amplification during PCR by different poly-
merases. We assessed two commercial RTases for transcribing total
RNA using a combination of oligo(dT) and random hexamer
primers, as well as gene-specific cDNA synthesis using an IgD-
hinge specific primer. A standardised PCR assay using a test panel
of V-gene and isotype-specific primer combinations was used to
evaluate the different cDNA preparations and to study the influ-
ence of different DNA polymerases on the amplification using the
most optimised conditions for all primer pairs. Additionally, the
effect of a number of PCR additives on product yield was analysed.
The final protocol was then tested on different heavy and light
chain isotypes (IgD, IgG, kappa and lambda) using a set of different
V-gene specific primers in combination with Ig-class specific
reverse primers. The goal was to develop a standard protocol for
amplifying different heavy and light chain isotypes simulta-
neously, which is able to yield sufficient products for any down-
stream application, such as V-gene usage profiling or antibody
library generation. Hence, we are able to present a ‘‘2.0’’-version of
antibody amplification, which incorporates the latest progress in
terms of sequence base and materials available.
MethodsBioinformatic analysisAll human Ig V-gene sequences were retrieved from the VBASE2
database. Thereafter, primer sequences (Table 1) were aligned to
the V-gene sequences using the AlignX1 Module for Vector NTI
AdvanceTM 10 (Invitrogen, Karlsruhe, Germany). For the mis-
match analysis, a gene is only considered to be covered by a
primer, if the maximum number of nucleotide mismatches does
not exceed a count of four and if the covered region has a length of
18 bp or more. Based on this information, the coverage of the
primers was calculated.
Sample preparation and RNA isolationPBMCs were separated from peripheral blood of adult donors in
Vacutainer1 EDTA tubes (BD Biosciences, Heidelberg, Germany)
New Biotechnology �Volume 27, Number 2 �May 2010 RESEARCH PAPER
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within 10 min after blood drawing by density gradient separation.
In detail, 15 ml of Biocoll (Biochrom AG, Berlin, Germany) separ-
ating solution was put in a 50 ml tube and 10 ml of EDTA-blood
was added above the Biocoll separating solution. After centrifuga-
tion for 15 min at 1800 rpm (652 rcf) the cell cloud was carefully
removed with a pipette and placed in a fresh 50 ml Falcon tube.
Sterile phosphate buffered saline was added up to a final volume of
50 ml and cells were centrifuged for 10 min at 1200 rpm. The
supernatant was discarded and the cell pellet was resuspended
in RTL buffer for RNA isolation using the RNeasy kit from Qiagen
(Hilden, Germany). RNA isolation was according to the supplied
protocol. The RNA quality and concentration was determined
using a RNA 6000 NanoChip1 with an Agilent 2100 Bioanalyzer
(Agilent, Waldbronn, Germany). From all individuals included in
this study informed consent was obtained.
First strand cDNA synthesisBefore proceeding to reverse transcription (RT) 1 mg of RNA per
sample was treated with deoxyribonuclease (DNase; Sigma–
Aldrich, Munich, Germany) for 15 min at room temperature (rt)
followed by heat inactivation of the DNase at 70 8C for 10 min.
Using always the same batch of total RNA, two different RTases
were evaluated in parallel; SuperScript1 II (Invitrogen) and total-
script-OLS1 (Omni Life Science, Hamburg, Germany). Total
cDNA preparation was performed using oligo(dT)12–18 primer
and random primers together (Invitrogen). IgD-specific cDNA
was prepared according to the protocol for gene-specific primer
transcription provided by the manufacturer using the IgD-
Hinge-Rv primer (GGTTAGCAGGTAGACGCCAAGAGGC), which
matches the last 25 nucleotides of the IgD hinge messenger RNA
(mRNA). All RT reactions were carried out according to the man-
ufacturer’s recommendation containing equal amounts of total
RNA (400 ng) as starting material. Total cDNA was used for the
amplification of all Ig isotypes evaluated in this study, except for
IgD, where IgD-specific cDNA was used.
Amplification of rearranged human antibody fragments by PCRTotal cDNA or isotype-specific cDNA preparations were used as
template for V-gene amplification. The forward primers corre-
spond to the first amino acid-coding nucleotides of the V-gene
mRNA (Table 1). The reverse primer is either located at the end of
the light chain constant region (Kappa CL-rv: ACACTCT-
CCCCTGTTGAAGCTCTT, Lambda CL1-rv: CTATGAACATTCTG-
TAGGGGCCACTG Lambda CL2-rv: CTATGAACATTCCGT-
AGGGGCAACTG) or placed in the CH1 region of the heavy chain
(IgD CH1-rv: AGATCTCCTTCTTACTCTTGCTG, IgG CH1-rv:
ACTCTCTTGTCCACCTTGGTGTTGC). Lambda-specific primers
were used together at equimolar concentration. All primers used
were obtained from Invitrogen.
The final volume for all PCR reactions was 20 ml containing
0.4 ml of cDNA, 200 mM of dNTPs (Invitrogen), 0.2 mM of forward
and reverse primers. The amount of polymerase used was varied
according to the recommended units of the supplier: REDTaq1
(1.0 ml of 1 U/ml) from Sigma–Aldrich, BIO-X-ACT1 Short (0.4 ml
of 4 U/ml) from Bioline (Luckenwalde, Germany) and Phusion1
(0.2 ml of 2 U/ml) from New England Biolabs (Frankfurt, Germany).
All reactions were carried out using a MJ Research PCT-200 PCR
machine. After heating at 95 8C for 45 s we performed 35 cycles
(95 8C for 30 s, 58 8C for 30 s and 72 8C for 30 s) and ended after
5 min at 72 8C.
Optimisation of PCR amplification by MgCl2 titrationMgCl2 concentration for polymerase optimisation was performed
by increasing each manufacturer’s recommended final MgCl2concentrations by 0.25 mM, 0.5 mM and 1.0 mM, respectively.
The manufacturer’s recommendations are as follows: REDTaq
1.1 mM, BIO-X-ACT 1.0 mM, and Phusion 1.5 mM.
Optimisation of PCR amplification by the addition of extremethermostable single-strand DNA binding protein (ET SSB)Where applied, 0.2 ml of ET SSB (500 mg/ml) from New England
Biolabs was added to each 20 ml PCR reaction. Supplied reaction
buffers were added according to the manufacturer’s information.
Electrophoresis of DNA ampliconsFor analysis, 20 ml of each PCR reaction was analyzed in duplicate
(10 ml/lane) on a 1.2% agarose gel and stained with ethidium
bromide. As a standard we used 4 ml of the GeneRulerTM 100 bp
Plus DNA marker (0.5 mg DNA) from Fermentas (St. Leon-Rot,
Germany).
Semi-quantitative analysis of PCR performanceGels were photographed using a gel documentation station (Gel
Doc 2000, Bio-Rad, Munich, Germany) and specific amplification
bands were quantified using AIDA1 image analyzer software 4.10
(Raytest, Straubenhardt, Germany). All gel images were analyzed
using the 1D evaluation tool with a fixed lane width of 18 pixels.
The band intensities were normalised using the 500 bp lane of the
DNA ladder loaded at constant concentration for all gels.
Results and discussionBioinformatic analysis of V-gene specific primersMost humanV-gene specific primers applied todatearebased onthe
germ-line sequences present in V BASE [17]. This manually com-
piled database of all known human immunoglobulin V-genes at the
time was developed more than a decade ago (last update 1997) at the
MRC Centre for Protein Engineering in Cambridge UK. In 1998,
Sblattero and Bradbury compiled a minimal set of primers for V-
gene amplification [10], using V BASE. At that time, 349 genes have
been known, but knowledge of Ig-genes increased since, and in
VBASE2 [3] 65% more sequences are recorded. This raises the ques-
tion whether these primers still cover all known genes adequately.
Primers were re-analysed using the collection of all 576 available
human V-gene sequences from the VBASE2. This database is reg-
ularly updated and incorporates sequence information from gen-
ome sequencing projects included in EMBL-Bank/GenBank/DDBJ
[18] and Ensembl [19] as well as it additionally integrates the
information of existing immunoglobulin sequence databases such
as the VBASE, the last publicly available version of Kabat database
[20] and the IMGT/LIGM database [21,22]. V-gene sequences of the
individual families were aligned and the first N-terminal protein-
codingnucleotideswere compared with the primer sequences. If the
primer shows four or less mismatches when compared to the
reference V-gene sequence with a covered gene region of more than
18 bp in length, the gene is regarded as covered. Some primers show
a certain degree of degeneracy at individual positions. Therefore,
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RESEARCH PAPER New Biotechnology � Volume 27, Number 2 �May 2010
TABLE 2
Bioinformatic analysis of oligonucleotides for amplification of V-genes based on non-assigned genes from VBASE2
Genes with nofamily assigned
No. of covered(not covered)genes
Primer§ FoldDegeneracy
Mismatches#
0 0 [%] 1 1 [%] 2 2 [%] 3 3 [%] 4 4 [%]
Variable Heavy Chain22 (18*) VH1 4 4 18.2
VH157 4 1 4.5 2 9.1
VH3 8 6 27.3 2 9.1
VH4 2 1 4.5VH1 & VH157 1 4.5
VH1, VH3 & VH157 5 22.7
Variable Light Kappa Chain25 (6*) VK1 6 5 20 4 16 2 8 3 12
VK246 12 1 4 2 8 3 12
VK3 8 4 16 1 4
Variable Light Lambda Chain36 (10*) Vl1 6 1 2.8
Vl1459 4 5 13.9 3 8.3 3 8.3 1 2.8
Vl15910 8 2 5.6
Vl1, Vl1459 & Vl15910 1 2.8
Vl2 8 2 5.6Vl3 4 1 2.8
Vl3-DPl16 4 1 2.8 1 2.8 2 5.6
Vl3-38 8 3 8.3Vl3 & Vl3-38 1 2.8 6 16.7
Vl78 6 3 8.3
§ Primer sequences can be found in Table 1.# Number and percentage of genes with the defined mismatch number, considering only the covered genes.*Genes not covered by the primers:VH: humIGHV075, humIGHV091,
humIGHV113, humIGHV156, humIGHV160, humIGHV166, humIGHV177, humIGHV180, humIGHV191, humIGHV205, humIGHV224, humIGHV235, humIGHV243, humIGHV254,
humIGHV265, humIGHV276, humIGHV283, humIGHV302;VK: humIGKV020, humIGKV112, humIGKV114, humIGKV117, humIGKV142, humIGKV153; Vl: humIGLV030, humIGLV084,
humIGLV092, humIGLV114, humIGLV123, humIGLV126, humIGLV132, humIGLV133, humIGLV138, humIGLV158.
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some primers match more than one V-gene family and some V-
genes are matched by more than one primer. In such a case, each V-
gene is scored only once per family and only with the best primer,
i.e. the primer with the lowest degree of mismatches. For ease of use,
primers were finally re-named corresponding to the V-gene families
they target according to our coverage criteria. Table 1 shows the
individual analysis result for each primer with family assigned
genes. The total number of genes in any given V-gene family, the
oligonucleotide sequence and fold degeneracy of the primer and the
number of genes with 0–4 mismatches relative to the primer
sequence respectively is given. The percentages of mismatches for
the sequences are also displayed.
In total, 459 out of the 576 V-genes in VBASE2 are family
assigned, of which 431 (93.9%) are covered by Sblattero and
Bradbury’s primer set in Table 1. The remaining 117 sequences
in VBASE2 are not assigned to any V-gene family and their analysis
with the given set of primers is presented in Table 2. In this set, the
coverage is considerably lower – only 83 (70.1%) out of 117 are
covered. This analysis suggests that most primers were designed
using family assigned sequences as reference and were optimised
for amplification of functional genes corresponding to Class 1 V-
genes in VBASE2, since only one gene of this class is not covered.
Hence, altogether 514 (89.2%) of all 576 human V-genes in
VBASE2 are covered with the previously published primers [10].
However, VBASE2 offers additionally to gene family assignment
the possibility to classify the V-gene sequences according to their
functionality: Class 1 V-genes have references for both genomic
and rearranged sequences; Class 2 V-genes are based solely on
112 www.elsevier.com/locate/nbt
genomic source information, so this class holds V-genes without
proof of usage, as well as pseudogenes (e.g. genes including stop
codons) and orphans (genes allocated to different loci); Class 3 V-
genes are supported only by rearranged sequences [2].
According to this information, 321 of the 576 V-genes are
functional or putatively functional, omitting only pseudogenes
and orphans (208 and 47, respectively). When applying the primer
set to all functional and putatively functional V-genes, the cover-
age is 94.1% and 19 V-genes are not covered. We analysed these V-
genes and designed additional four primers, which cover one Class
1 and 11 Class 2 V-genes, equivalent of 63.2% of non-covered
genes (Table 3). Basic requirement of the new primers (except for
the one Class 1 V-gene) was to cover a minimum of three addi-
tional V-genes.
Altogether, the extended primer set now covers 100% of all
Class 1 V-genes and 97.8% of all functional or putatively func-
tional V-genes, with an emphasis on improved Class 2 V-gene
coverage. Notably the coverage of all human VBASE2 entries
increases to 527 (91.5%) of the 576 V-genes and comprises 213
(83.5%) of all 255 pseudogenes and orphans. The extended primer
set will allow to investigate if the additionally covered genes – for
which only genomic references exist according to VBASE2 assem-
bly criteria – are used in the V(D)J recombination process or
possibly even in gene conversion [23,24]. This is particularly useful
in the light of V-gene usage studies, where as many genes as
possible should be evaluated. The detailed analysis of V-gene
coverage by the initial as well as extended oligonucleotide primer
sets is summarised in Suppl. Table 1.
New Biotechnology �Volume 27, Number 2 �May 2010 RESEARCH PAPER
TABLE 3
Bioinformatic analysis of new oligonucleotides for amplification of additional functional or putatively functional V-genes from VBASE2
Family Primer Primer Sequence Fold Degeneracy No. of target genes
Variable Heavy ChainVH3 VH3N TCAACACAACGGTTCCCAGTTA 1 1
Variable Light Kappa ChainVK2 VK2N1 AGATGCTGTGTGAMCCAGCCTC 2 4
VK2N2 TCCCTCCAAGTTCACATCCTGAG 1 5
Variable Light Lambda ChainNot Assigned VlNA GTCCAGTTCCTCTATTATGRTAG 2 3*
* One of the covered genes is a pseudogene.
FIGURE 1
Evaluation of IgD isotype specific cDNA synthesis and RT efficiency by PCR.IgD-specific (a) and IgG-specific (b) primer pair amplification is shown in
duplicates. Template cDNA was derived from parallel RT reactions using
SuperScript II and totalscript-OLS. PCR amplification was carried out withVH157 forward primer in combination with IgD CH1-Rv or IgG CH1-Rv
primers, respectively. Expected band sizes range from 650 to 700 bp.
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To investigate whether our classification of V-gene coverage
with the primer set holds, we analysed �1000 sequences of ampli-
cons using all VH-primers together with a IgG-CH1 specific reverse
primer on a pool of total cDNA with Superscript II from PBMCs of 5
donors by pyrosequencing (Genome Sequencer FLX System,
Roche Diagnostics GmbH, Mannheim, Germany). According to
VBASE2 DNAPLOT-queries, this sequence collection already cov-
ers 85% (52 from a total of 61) Class 1 V-genes, and 41% (84 out of a
total of 206) Class 2 V-genes. Because all amplicons were obtained
from PBMCs and were of the IgG isotype, all Class 2 V-genes
covered can be regarded as functional. Mature peripheral B cells
are only allowed to undergo class-switch and progress to this stage
when a productive rearrangement was achieved [25].
Evaluation of two different reverse transcriptases for cDNAsynthesisSynthesis of cDNA by reverse transcription (RT) of total RNA is a
decisive measure in obtaining cDNA material for gene expression
analysis as the RT should reflect the true mRNA population for the
transcripts of interest. The choice to use either gene-specific pri-
mers, oligo(dT), random hexamers or a combination of oligo(dT)
and random hexamers (in our case) for priming is a delicate issue.
RT efficiency depends on the priming strategy while the yield is
dependent on the RNA concentration [26]. Gene-specific priming
rather than random priming has been reported to show an increase
in sensitivity [27] and this is especially important in cDNA synth-
esis of transcripts with low abundance, as expected for some
rearranged immunoglobulin genes in the PBMC population. Con-
ventional protocols require the synthesis of the first strand cDNA
using MMLV reverse transcriptase that lacks RNase H activity [28].
In this study, we evaluated the commercially available Super-
Script1 II and totalscript-OLS1 RT kits in parallel to synthesise
total cDNA from the same RNA sample using a combination of
oligo(dT) and random hexamer primers. Additionally, RTases were
used to synthesise IgD-specific cDNA from the same human RNA
sample with a gene-specific primer that binds in the unique IgD
hinge region. Obtained cDNAs were employed as template in a
PCR reaction to evaluate V-gene specific amplification and possi-
ble primer cross talk. Amplification was carried out with two
primer-pair combinations of the same VH157 forward primer:
for the amplification of IgD-specific and IgG-specific transcripts
the IgD CH1-Rv and the IgG CH1-Rv reverse primers were taken,
respectively. The comparison of the PCR results in Fig. 1 demon-
strates that IgD-specific cDNA synthesis was highly specific. As
expected, IgD isotype specific PCR amplicons were seen in both
cDNA preparations. The IgG-specific primer pair, however, gave no
PCR amplification product and showed no cross talk on IgD-
specific cDNA leaving no doubt to the sensitivity of the primer
used for cDNA synthesis. The PCR results obtained from total
cDNA as template showed significant amplification with both
IgD-specific and IgG-specific primer combinations for SuperScript
II and low amplification for totalscript-OLS prepared cDNA. When
the PCR amplification yield on IgD-specific templates was com-
pared, in both cases amplicons were seen, but SuperScript II
prepared cDNA yielded slightly more amplification product. A
previous comparison of the RTases showed that although conver-
sion of RNA to cDNA of abundant transcript is equally efficient, the
same did not apply for low abundance transcripts. SuperScript II
has been shown to be more efficient with low transcript genes [29].
This is fully in concordance with our findings and holds also for V-
gene amplification. IgD-specific transcripts are low abundant in
RNA samples of PBMCs and as Fig. 1 shows, only weak signals are
obtained from the totalscript-OLS total cDNA as template com-
pared to SuperScript II converted RNA. A fine balance of the
amount of RNA and RTase used in RT reaction is important. Using
high amounts of RNA, the RTase could cause an overamplification
of certain transcripts, leading to misrepresentation of individual
transcript populations [30]. Further, a high ratio of RTase to RNA
template could lead to polymerase inhibition in downstream
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RESEARCH PAPER New Biotechnology � Volume 27, Number 2 �May 2010
FIGURE 2
Efficiency of three different polymerases for PCR amplification of rearranged antibody genes and MgCl2 optimisation of the reaction.
(A) IgD-specific PCR amplification of antibody genes with the polymerases REDTaq (i), BIO-X-ACT short (ii) and Phusion (iii). All samples were amplified using thedepicted forward primers in combination with the IgD CH1-Rv primer.
(B and C) MgCl2 titration for PCR efficiency enhancement of polymerases using forward primer VH157 or VH3, respectively in combination with the IgD CH1-Rv
primer. Manufacturer recommended MgCl2 concentrations (Normal) were increased by 0.25 mM, 0.5 mM and 1 mM (final con.) respectively. Expected band sizes
range from 650 to 700 bp. Donor template for A differs from B and C, resulting in apparent differences in V-gene usage.
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applications [31]. We used 400 ng total RNA for every RT reaction.
This is well within the recommended amount of RNA for use, and
indeed, we saw neither signs of PCR inhibition nor false amplifica-
tion. We conclude, that in our hands SuperScript II is the ideal
choice for the synthesis of cDNA for V-gene amplification with
ample yield and specificity.
Evaluation of different polymerases for PCR amplificationThere are several commercially available polymerases on the mar-
ket today. The choice of a polymerase, which is optimal for the
application at hand, is an enigma in most cases. Several factors
such as target length and sequence, primer design, buffer condi-
tions, sample impurities, cycling conditions and polymerases
influence the amplification efficiency [16,32]. Three commercially
available polymerases – REDTaq, BIO-X-ACT short and Phusion –
were examined for their efficiency to amplify V-genes. For each
enzyme, we have used the recommended buffers to obtain optimal
PCR conditions and used the supplier recommended units of
polymerases. Fig. 2A shows the PCR amplification results applying
all VH-specific forward primers in combination with the IgD
constant domain specific reverse primer. Poor amplification was
recorded for REDTaq polymerase while BIO-X-ACT short gave
amplicons for most primer combination, but with low yield.
Phusion gave the best amplification results of the three poly-
114 www.elsevier.com/locate/nbt
merases tested. The VH family pool (equimolar concentrations
of all VH forward primers) resulted in poor amplification indicat-
ing that primer mixtures decrease amplification yield significantly.
Attempts to improve the conditions by varying annealing tem-
peratures and by the addition of DMSO to the reaction mix did not
enhance amplification (result not shown). However, optimisation
of the PCR condition by modifying the MgCl2 concentration in the
reaction buffer showed improvement in the amplifications for
some polymerases. The manufacturer’s recommended concentra-
tion was increased by 0.25 mM, 0.5 mM and 1 mM MgCl2 (final
conc.), respectively. Fig. 2B,C depicts the amplification using two
different V-gene primers (VH157 and VH3) in combination with
the IgD CH1-rv reverse primer. Elevating the MgCl2 concentration
gave slightly more yield in amplicon for both REDTaq and BIO-X-
ACT polymerases. The addition of MgCl2 had no significant effect
on the performance of Phusion polymerase, which had the highest
overall amplification yield in this study. Phusion has high fidelity
if used at the recommended units but with lower units a drop in
the fidelity was observed [33]. In our comparison all three poly-
merases could be used for the amplification but with partially only
poor to moderate yield, even with optimised MgCl2 concentra-
tion. We conclude that Phusion is the enzyme of choice to amplify
all antibody V-genes of different Ig-classes using the same PCR
program for all primer pairs in a single run. It gave consistently
New Biotechnology �Volume 27, Number 2 �May 2010 RESEARCH PAPER
FIGURE 3
The effect of ET SSB on PCR amplification of rearranged antibody genes.PCR amplification results with or without the addition of ET SSB are shown for (A) an equimolar mixture of all V-gene forward primers (VH Pool) and (B) the singleprimer VH157. Bothwere used in combination with the IgD-specific reverse primer IgD CH1-Rv. Expected band sizes range from 650 to 700 bp. Template cDNAwas
derived from parallel RT reactions using SuperScript II and totalscript-OLS. Bar chart shows the relative intensities of the bands determined using AIDA softwareanalysis on the basis of the intensity of the 500 bp DNA fragment of the DNA ladder used. Sample orientation of bar chart is according to the cDNA sample
orientation as depicted.
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good results using standard conditions and demonstrated robust-
ness against fluctuations in reaction conditions (e.g. template or
MgCl2-concentration).
Effects of addition of extreme thermostable single-strand DNAbinding protein on PCR efficiencyFurther optimisation investigated the use of additives in the PCR
reaction mixture. Addition of DMSO to reduce DNA secondary
structures led to no improvement and therefore the influence of a
thermostable singe strand binding protein (ET SSB) on the PCR
reaction was assessed. SSB proteins destabilize DNA-complexes in
vivo to allow higher accessibility to single stranded DNA. They
enhance the fidelity of DNA synthesis, processivity of polymerases
and promote polymerase binding, and hence, augment PCR
amplification [34–37]. In Fig. 3, PCR amplification results with
or without the addition of ET SSB are shown for an equimolar pool
of all VH forward primers (VH Pool) and the single primer VH157,
both used in combination with the IgD-specific reverse primer IgD
CH1-Rv. Additionally, cDNA templates generated using either
SuperScript II or totalscript-OLS RTases were assessed. In the lower
panel the relative intensities by densitometric analysis are shown
as determined with the AIDA image analyzer software. Relative
concentrations are based on the intensity of the 500 bp fragment
from the DNA ladder, which was used at fixed amount. A signifi-
cant (up to 10-fold) increase in amplicon yield for both single and
pooled primers is seen in the ET SSB containing PCR samples and a
similar distribution pattern of yield was observed for multiplexed
as well as single primer combinations. The effects on cDNA acces-
sibility derived from different RTase were also recorded. Without
ET SSB, total cDNA derived from SuperScript II showed a major
advantage over totalscript-OLS with higher PCR yields. However,
in the presence of ET SSB, total cDNA synthesis for SuperScript II
and totalscript-OLS became comparable. The greatest positive
effect of ET SSB was seen when applying in combination with
totalscript-OLS synthesised cDNA preparations. We conclude that
the use of ET SSB is beneficial for V-gene amplifications and should
be adopted when amplifying diverse sets of antibody sequences
from cDNA in multiplexed and single PCR reactions equally.
Amplification of rearranged human antibody repertoires ofdifferent Ig-classesAmplification with the entire V-gene primer combinations for IgD,
IgG, Kappa and Lambda isotypes of single donors was assessed. The
optimised protocol uses cDNAs obtained by SuperScript II RTase as
template and Phusion polymerase with the addition of ET SSB for
efficient amplification in PCR. IgD-specific amplification was per-
formed on IgD-isotype specific cDNA, while all other analyses were
conducted on total cDNA derived from oligo(dT) and random
hexamer priming. Fig. 4 shows typical antibody V-gene amplifica-
tions of all four isotypes tested (IgD, IgG, Kappa and Lambda)
using a combination of V-gene specific forward primers and iso-
type-specific reverse primers in a single optimised and standar-
www.elsevier.com/locate/nbt 115
RESEARCH PAPER New Biotechnology � Volume 27, Number 2 �May 2010
FIGURE 4
Full analysis of rearranged antibody genes.
Template cDNA was generated with SuperScript II RTase. PCR amplification
was carried out with depicted forward primers in combination with isotype-
specific reverse primers for IgD (a) IgG (b), Kappa (c) and Lambda (d) of asingle donor. Lambda isotypes were amplified using an equimolar mixture of
two reverse primers. Each sample is loaded in duplicate. Amplification of
rearranged antibody genes with the new forward primers is shown in (e) andwas derived from a different donor. Expected band sizes range from 650 to700 bp.
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dised PCR protocol. The variation seen in band intensities for the
antibody profiles is likely due to the V-gene usage preferences in
the analyzed individual. This preference is attributed to the high
diversity in antibody repertoires. The diversity is credited to the
antibody V-gene recombination processes [38] including receptor
editing and somatic hypermutation [23,39]. This is important as
antibodies of similar V-gene sequence but of different isotypes
have demonstrated differences in specificity [40]. Studies on
116 www.elsevier.com/locate/nbt
V-gene usage patterns have also been of interest to understand if a
certain V-gene or Ig-class is preferred, which could be related to the
cause of a certain condition. Hence the protocol could contribute
to current V-gene usage studies conducted for various diseases
such as systemic lupus erythematosus [41,42], Sjogren disease [43],
rheumatoid arthritis [5,44] and even leukaemia [45]. Further, the
ability to amplify significant amounts of V-gene cDNA from
various antibody isotypes could also have an advantage in recom-
binant antibody library generations [46–48].
ConclusionIn summary, we revisited all relevant steps for V-gene amplifica-
tion in detail and set up an optimised procedure for the amplifica-
tion of rearranged human antibody genes of different isotypes. The
extended primer set gives a diverse coverage of respective family
assigned and non-assigned V-genes, and covers near to 100% of all
functional and putatively functional V-genes. Obtaining an opti-
mised protocol included assessment of reverse transcriptases for
cDNA synthesis, as well as evaluation of polymerases and additives
for PCR amplification. The final protocol demonstrated to produce
isotype-specific cDNAs for Ig-class amplification and resulted in
high yields of PCR amplicons for rearranged human antibody
genes. Designing specific reverse primers, the protocol can be
adapted to amplify all Ig-classes separately, enabling analyses of
V-gene usage in rearranged antibody repertoires of different iso-
types in healthy or diseased individuals.
AcknowledgementsThe work was supported by the German Federal Ministry for
Education and Research (BMBF) through the National Genome
Research Network (NGFN-II) ‘‘Antibody Factory’’ (Grant No.
01GR0427) and the Max Planck Society. ZK and SD acknowledge
additional support from EU-FP6 CA ‘‘ProteomeBinders’’ (RICA.
026008). TSL acknowledges financial support from the Ministry of
Higher Education Malaysia and Institute for Research in Molecular
Medicine, University Science Malaysia.
Appendix A. Supplementary dataSupplementary data associated with this article can be found, in
the online version, at doi:10.1016/j.nbt.2010.01.001.
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