Improved affinity selection using phage display technology and off-rate based selection
Financial support: This work was supported in part by grants from the NIH (AG17984), American Health Assistance Foundation (A2001-043) and the Alzheimer’s Association (IIRG-01-2753).
Keywords: affinity maturation, β-amyloid (Aβ), dissociation rate, phage display.
Flow systems such as a BIAcore biosensor can be very efficient tools to isolate high affinity antibody fragments from affinity matured phage display libraries. Here we show that using flow based selection, we can readily isolate a variant with a 35-fold higher affinity, especially with a 7 fold better off-rate, compared to the parent clone after only a single round of selection from a second generation affinity matured phage display library. The flow system represents a fast method to isolate affinity improved antibody fragments and can be particularly useful for isolating antibodies to antigens that have poor solubility, are toxic to the host cell, or prone to aggregation.
Over 30% of the biopharmaceuticals under development in clinical trials today are recombinant antibodies (Hudson and Souriau, 2003). The powerful capabilities of surface display technology to isolate high affinity antibody fragments against a wide variety of target antigens has been frequently demonstrated (Kretzschmar and von Ruden, 2002). Antibody fragments isolated using immunotube based selection often have low affinities to the target antigen (Knappik et al. 2000) Soluble selection using magnetic beads and biotinylated antigen can lead to selection of higher affinity antibody fragments (Hawkins et al. 1992), but the soluble selection method may not be suitable for those antigens that have poor solubility or are prone to aggregation. Soluble or immunotube based selection methods also do not necessarily ensure that the selected antibody fragments will have the lowest off-rates, an important characteristic for potential clinical applications (Jirholt et al. 2001). Cell sorting methods are effective selection tools for cell surface display libraries (Yeung and Wittrup, 2002), however for antigens that are toxic, have limited solubility or are prone to aggregation, phage display technology may be preferred. An alternative selection method for use with phage display libraries is to use a flow system such as a biosensorwhere selection is based on dissociation rates rather than affinity constants, correlating higher affinities with longer elution times (Malmborg et al. 1996).
We constructed a second-generation phage display library by randomizing the light chain CDR3 region of a parent scFv (H1) isolated against β-amyloid (Aβ), a peptide that aggregates readily. We then compared two different methods to select for scFv’s having improved affinity to Aβ, a static immunotube biopanning based selection, and a flow based system using a BIAcore X biosensor. Using the static selection method, we obtained an scFv (H1-v2) with a four-fold higher affinity than the parent antibody (H1), while when using the flow based system; we obtained an scFv (H1-v3) having a 35-fold higher affinity.
Aβ 1-40 was used as antigen and positive single clones were selected from the Nissim library (Nissim et al. 1994) following standard biopanning protocols (Vaughan et al. 1996). The clone, H1, which showed the highest binding activity with Aβ 1-40 was isolated and used as a parent clone for affinity maturation studies.
second generation library was constructed by randomizing the CDR3
light chain region of the parent H1 scFv using a two-step PCR protocol.
The scFv gene of H1 was amplified first with the primers: LMB3 (5’-CAG
GAA ACA GCT ATG AC-
based selection was performed as follows: Aβ was diluted to 200
clones from immunotube and BIAcore were cultured and induced with
The parent scFv, H1 (KD = 2.61 x 10-6 M toward Aβ 1-40) was obtained after four rounds of biopanning using the Nissim phage display antibody library (Nissim et al. 1994). The second generation library has a theoretical diversity of 206 (6.4 x 107) and contained approximately 9.7 x 108 clones indicating a diversity of at least 106 different clones. After four rounds of selection by static panning, 50% of the antibody clones recovered showed positive ELISA signals (a positive signal was defined as ELISA reading at least two times higher than the background value) (Figure 1a). We selected the nine different clones with the strongest ELISA signals, determined their amino acid sequences by DNA sequencing, and determined the off rates (Table 1). The clone H9 gave the highest ELISA signal, so we selected this clone for further studies, renaming it H1-v2. Flow based selection was performed on the BIAcore X. After only a single round of selection, 90% of the clones tested from the 6 and 7 hrs and regeneration step aliquots gave positive ELISA signals (defined as above) (Figure 1b). We again selected the nine different clones with the highest ELISA signals, determined their amino acid sequence, and off rates (Table 1). The clone D9 had the highest ELISA signal, so we selected this clone for further studies, and renamed it H1-v3.
The average dissociation rate for the nine different clones selected using the flow-based method (1.47 x 10-3) was five-fold better than the average rate for the nine clones selected by conventional immunotube panning (7.40 x 10-3) (Table 1). The clone selected from flow based panning, H1-v3, had the lowest dissociation rate from that group, however H1v2 did not have the best dissociation rate from the static selection group.
The H1, H1-v2 and H1-v3 scFvs were purified and analyzed by BIAcore. The association rates (ka), dissociation rates (kd), and dissociation constants (KD) were obtained (Table 1). The dissociation constants (KD) of H1-v2 (6.53 x 10-7 M) and H1-v3 (7.28 x 10-8 M) are four-fold and 35-fold better than the value obtained for the parental H1 clone (2.61 x 10-6 M) respectively, clearly demonstrating the value of a flow-based selection method.
Another advantage of the flow based method is that the total number of recovered phage drops dramatically in those samples that contain the scFv’s with the slowest off rates, facilitating identification of strong binding scFv’s when limited antigen is available (Figure 1). An additional powerful feature of flow-based system is that selection can be performed very quickly, in only a few hours.
Here we demonstrate that human based scFv fragments that can bind Aβ can be isolated from a synthetic antibody library and that the affinity of these scFv’s can be greatly improved (35-fold) after only a single round of affinity maturation, improving the off-rate over seven-fold. Further improvements in antibody affinity and off-rate can be obtained by generating additional antibody libraries by randomization of other CDR regions in the heavy and light chains (Yang et al. 1995), leading to antibody fragments that can be candidate therapeutics for treating Alzheimer’s Disease (Lombardo et al. 2003).
GRIFFITHS, A.D.; WILLIAMS, S.C.; HARTLEY, O.; TOMLINSON, I.M.; WATERHOUSE, P.; CROSBY, W.L.; KONTERMANN, R.E.; JONES, P.T.; LOW, N.M. and ALLISON, T.J. Isolation of high affinity human antibodies directly from large synthetic repertoires. The EMBO Journal, July 1994, vol. 13, no. 14, p. 3245-3260.
HAWKINS, Robert E.; RUSSELL, Stephen J. and WINTER, Greg. Selection of phage antibodies by binding affinity. Mimicking affinity maturation. Journal of Molecular Biology, August 1992, vol. 226, no. 3, p. 889-896. [CrossRef]
HUDSON, Peter J. and SOURIAU, Christelle. Engineered antibodies. Nature Medicine, January 2003, vol. 9, no. 1, p. 129-134. [CrossRef]
JIRHOLT, Pernilla; STRANDBERG, Leif; JANSSON, Bo; KRAMBOVITIS, Elias; SODERLIND, Eskil; BORREBAECK, Carl A.K.; CARLSSON, Roland; DANIELSSON, Lena and OHLIN, Mats. A central core structure in an antibody variable domain determines antigen specificity. Protein Engineering Design and Selection, January 2001, vol. 14, no. 1, p. 67-74.
KNAPPIK, Achim; GE, Liming; HONEGGER, Annemarie; PACK, Peter; FISCHER, Melanie; WELLNHOFER, Günter; HOESS, Adolf; WOLLE, Joachim; PLUCKTHUN, Andreas and VIRNEKAS, Bernhard. Fully synthetic human combinatorial antibody libraries (HuCAL) based on modular consensus frameworks and CDRs randomized with trinucleotides. Journal of Molecular Biology, February 2000, vol. 296, no. 1, p. 57-86. [CrossRef]
KRETZSCHMAR, Titus and VON RUDEN, Thomas. Antibody discovery: phage display. Current Opinion Biotechnology, December 2002, vol. 13, no. 6, p. 598-602. [CrossRef]
LOMBARDO, Julianne A.; STERN, Edward A.; MCLELLAN, Megan E.; KAJDASZ, Stephen T.; HICKEY, Gregory A.; BACSKAI, Brian J. and HYMAN, Bradley T. Amyloid-beta antibody treatment leads to rapid normalization of plaque-induced neurotic alterations. The Journal of Neuroscience, November 2003, vol. 23, no. 34, p. 10879-10883.
MALMBORG, Ann-Christin; DUENAS, Marta; OHLIN, Mats; SODERLIND, Eskil and BORREBAECK, Carl A.K. Selection of binders from phage displayed antibody libraries using the BIAcore™ biosensor. Journal of Immunological Methods, October 1996, vol. 198, no. 1, p. 51-57. [CrossRef]
NISSIM, A.; HOOGENBOOM, H.R.; TOMLINSON, I.M.; FLYNN, G.; MIDGLEY, C.; LANE, D. and WINTER, G. Antibody fragments from a 'single pot' phage display library as immunochemical reagents. The EMBO Journal, February 1994, vol. 13, no. 3, p. 692-698.
VAUGHAN, Tristan J.; WILLIAMS, Andrew J.; PRITCHARD, Kevin; OSBOURN, Jane K.; POPE, Anthony R.; EARNSHAW, John C.; MCCAFFERTY, John; HODITS, Regina A.; WILTON, Jane and JOHNSON, Kevin S. Human antibodies with sub-nanomolar affinities isolated from a large non-immunized phage display library. Nature Biotechnology, March 1996, vol. 14, no. 3, p. 309-314. [CrossRef]
YANG, Wei-Ping; GREEN, Kimberly; PINZ-SWEENEY, Sally; BRIONES, Amelia T.; BURTON, Dennis R. and BARBAS III, Carlos F. CDR walking mutagenesis for the affinity maturation of a potent human anti-HIV-1 antibody into the picomolar range. Journal of Molecular Biology, December 1995, vol. 254, no. 3, p. 392-403. [CrossRef]
YEUNG, Yik A. and WITTRUP, K. Dane. Quantitative screening of yeast surface-displayed polypeptide libraries by magnetic bead capture. Biotechnology Progress, March-April 2002, vol. 18, no. 2, p. 212-220. [CrossRef]
Note: Electronic Journal of Biotechnology is not responsible if on-line references cited on manuscripts are not available any more after the date of publication.
Home | Mail to Editor | Search | Archive