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      A robust pipeline for rapid production of versatile nanobody repertoires

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          Abstract

          Nanobodies are single domain antibodies derived from the variable regions of Camelidae atypical immunoglobulins. They show great promise as high affinity reagents for research, diagnostics and therapeutics due to their high specificity, small size (~15 kDa) and straightforward bacterial expression. However, identification of repertoires with sufficiently high affinity has proven time consuming and difficult, hampering nanobody implementation. Here, we present a rapid, straightforward approach that generates large repertoires of readily expressible recombinant nanobodies with high affinities and specificities against a given antigen. We demonstrate the efficacy of this approach through the production of large repertoires of nanobodies against two antigens, GFP and mCherry, with K d values into the sub-nanomolar range. After mapping diverse epitopes on GFP, we were also able to design ultra-high affinity dimeric nanobodies with K d s down to ~30 pM. The approach presented is well-suited for the routine production of high affinity capture reagents for various biomedical applications.

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          Most cited references42

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          Systematic identification of protein complexes in Saccharomyces cerevisiae by mass spectrometry.

          The recent abundance of genome sequence data has brought an urgent need for systematic proteomics to decipher the encoded protein networks that dictate cellular function. To date, generation of large-scale protein-protein interaction maps has relied on the yeast two-hybrid system, which detects binary interactions through activation of reporter gene expression. With the advent of ultrasensitive mass spectrometric protein identification methods, it is feasible to identify directly protein complexes on a proteome-wide scale. Here we report, using the budding yeast Saccharomyces cerevisiae as a test case, an example of this approach, which we term high-throughput mass spectrometric protein complex identification (HMS-PCI). Beginning with 10% of predicted yeast proteins as baits, we detected 3,617 associated proteins covering 25% of the yeast proteome. Numerous protein complexes were identified, including many new interactions in various signalling pathways and in the DNA damage response. Comparison of the HMS-PCI data set with interactions reported in the literature revealed an average threefold higher success rate in detection of known complexes compared with large-scale two-hybrid studies. Given the high degree of connectivity observed in this study, even partial HMS-PCI coverage of complex proteomes, including that of humans, should allow comprehensive identification of cellular networks.
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            Partitioning of lipid-modified monomeric GFPs into membrane microdomains of live cells.

            Many proteins associated with the plasma membrane are known to partition into submicroscopic sphingolipid- and cholesterol-rich domains called lipid rafts, but the determinants dictating this segregation of proteins in the membrane are poorly understood. We suppressed the tendency of Aequorea fluorescent proteins to dimerize and targeted these variants to the plasma membrane using several different types of lipid anchors. Fluorescence resonance energy transfer measurements in living cells revealed that acyl but not prenyl modifications promote clustering in lipid rafts. Thus the nature of the lipid anchor on a protein is sufficient to determine submicroscopic localization within the plasma membrane.
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              A generic protein purification method for protein complex characterization and proteome exploration.

              We have developed a generic procedure to purify proteins expressed at their natural level under native conditions using a novel tandem affinity purification (TAP) tag. The TAP tag allows the rapid purification of complexes from a relatively small number of cells without prior knowledge of the complex composition, activity, or function. Combined with mass spectrometry, the TAP strategy allows for the identification of proteins interacting with a given target protein. The TAP method has been tested in yeast but should be applicable to other cells or organisms.
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                Author and article information

                Journal
                101215604
                32338
                Nat Methods
                Nat. Methods
                Nature methods
                1548-7091
                1548-7105
                5 December 2014
                02 November 2014
                December 2014
                01 June 2015
                : 11
                : 12
                : 1253-1260
                Affiliations
                [1 ]Laboratory of Cellular and Structural Biology, The Rockefeller University, New York, NY, USA
                [2 ]Laboratory of Mass Spectrometry and Gaseous Ion Chemistry, The Rockefeller University, New York, NY, USA
                [3 ]Center for Health Informatics and Bioinformatics, New York University School of Medicine, New York, NY, USA
                [4 ]Laboratory of Molecular Immunology, The Rockefeller University, New York, NY, USA
                [5 ]Institut de Recherches Cliniques de Montréal, Montréal, QC, Canada
                [6 ]Département de Biochimie et Médecine Moléculaire, Faculté de Médecine, Université de Montréal, Montréal, QC, Canada
                [7 ]Howard Hughes Medical Institute, The Rockefeller University, New York, NY, USA
                Author notes
                Correspondence should be addressed to M.P.R. ( rout@ 123456rockefeller.edu ), B.T.C. ( chait@ 123456rockefeller.edu ) or D.F. ( david@ 123456fenyolab.org )
                [*]

                These authors contributed equally to this work.

                Article
                NIHMS634673
                10.1038/nmeth.3170
                4272012
                25362362
                abcbc976-3c97-4b74-bc58-c01c491b539a
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                Life sciences
                Life sciences

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