William J. Dower

E. coli can be transformed to extremely high efficiencies by subjecting a mixture of cells and DNA to brief but intense electrical fields of exponential decay waveform (electroporation). We have obtained 10(9) to 10(10) transformants/micrograms with strains LE392 and DH5 alpha, and plasmids pUC18 and pBR329. The process is highly dependent on two characteristics of the electrical pulse: the electric field strength and the pulse length (RC time constant). The frequency of transformation is a linear function of the DNA concentration over at least six orders of magnitude; and the efficiency of transformation is a function of the cell concentration. Most of the surviving cells are competent with up to 80% transformed at high DNA concentration. The mechanism does not appear to include binding of the DNA to the cells prior to entry. Possible mechanisms are discussed and a simple procedure for the practical use of this technique is presented.

ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTApplications of Combinatorial Technologies to Drug Discovery. 2. Combinatorial Organic Synthesis, Library Screening Strategies, and Future DirectionsEric M. Gordon, Ronald W. Barrett, William J. Dower, Stephen P. A. Fodor, and Mark A. GallopCite this: J. Med. Chem. 1994, 37, 10, 1385–1401Publication Date (Print):May 1, 1994Publication History Published online1 May 2002Published inissue 1 May 1994https://pubs.acs.org/doi/10.1021/jm00036a001https://doi.org/10.1021/jm00036a001research-articleACS PublicationsRequest reuse permissionsArticle Views3199Altmetric-Citations953LEARN ABOUT THESE METRICSArticle Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to reflect usage leading up to the last few days.Citations are the number of other articles citing this article, calculated by Crossref and updated daily. Find more information about Crossref citation counts.The Altmetric Attention Score is a quantitative measure of the attention that a research article has received online. Clicking on the donut icon will load a page at altmetric.com with additional details about the score and the social media presence for the given article. Find more information on the Altmetric Attention Score and how the score is calculated. Share Add toView InAdd Full Text with ReferenceAdd Description ExportRISCitationCitation and abstractCitation and referencesMore Options Share onFacebookTwitterWechatLinked InRedditEmail Other access optionsGet e-Alertsclose Get e-Alerts

ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTApplications of Combinatorial Technologies to Drug Discovery. 1. Background and Peptide Combinatorial LibrariesMark A. Gallop, Ronald W. Barrett, William J. Dower, Stephen P. A. Fodor, and Eric M. GordonCite this: J. Med. Chem. 1994, 37, 9, 1233–1251Publication Date (Print):April 1, 1994Publication History Published online1 May 2002Published inissue 1 April 1994https://pubs.acs.org/doi/10.1021/jm00035a001https://doi.org/10.1021/jm00035a001research-articleACS PublicationsRequest reuse permissionsArticle Views2715Altmetric-Citations976LEARN ABOUT THESE METRICSArticle Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to reflect usage leading up to the last few days.Citations are the number of other articles citing this article, calculated by Crossref and updated daily. Find more information about Crossref citation counts.The Altmetric Attention Score is a quantitative measure of the attention that a research article has received online. Clicking on the donut icon will load a page at altmetric.com with additional details about the score and the social media presence for the given article. Find more information on the Altmetric Attention Score and how the score is calculated. Share Add toView InAdd Full Text with ReferenceAdd Description ExportRISCitationCitation and abstractCitation and referencesMore Options Share onFacebookTwitterWechatLinked InRedditEmail Other access optionsGet e-Alertsclose Get e-Alerts

We have constructed a vast library of peptides for finding compounds that bind to antibodies and other receptors. Millions of different hexapeptides were expressed at the N terminus of the adsorption protein (pIII) of fd phage. The vector fAFF1, derived from the tetracycline resistance-transducing vector fd-tet, allows cloning of oligonucleotides in a variety of locations in the 5' region of gene III. A library of 3 x 10(8) recombinants was generated by cloning randomly synthesized oligonucleotides. The library was screened for high-avidity binding to a monoclonal antibody (3-E7) that is specific for the N terminus of beta-endorphin (Tyr-Gly-Gly-Phe). Fifty-one clones selected by three rounds of the affinity purification technique called panning were sequenced and found to differ from previously known ligands for this antibody. The striking finding is that all 51 contained tyrosine as the N-terminal residue and that 48 contained glycine as the second residue. The binding affinities of six chemically synthesized hexapeptides from this set range from 0.35 microM (Tyr-Gly-Phe-Trp-Gly-Met) to 8.3 microM (Tyr-Ala-Gly-Phe-Ala-Gln), compared with 7.1 nM for a known high-affinity ligand (Tyr-Gly-Gly-Phe-Leu). These results show that ligands can be identified with no prior information concerning antibody specificity. Peptide libraries are also likely to be useful in finding ligands that bind to other classes of receptors and in discovering pharmacologic agents.

Random phage display peptide libraries and affinity selective methods were used to isolate small peptides that bind to and activate the receptor for the cytokine erythropoietin (EPO). In a panel of in vitro biological assays, the peptides act as full agonists and they can also stimulate erythropoiesis in mice. These agonists are represented by a 14- amino acid disulfide-bonded, cyclic peptide with the minimum consensus sequence YXCXXGPXTWXCXP, where X represents positions allowing occupation by several amino acids. The amino acid sequences of these peptides are not found in the primary sequence of EPO. The signaling pathways activated by these peptides appear to be identical to those induced by the natural ligand. This discovery may form the basis for the design of small molecule mimetics of EPO.