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      A combined high-throughput and high-content platform for unified on-chip synthesis, characterization and biological screening

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          Abstract

          Acceleration and unification of drug discovery is important to reduce the effort and cost of new drug development. Diverse chemical and biological conditions, specialized infrastructure and incompatibility between existing analytical methods with high-throughput, nanoliter scale chemistry make the whole drug discovery process lengthy and expensive. Here, we demonstrate a chemBIOS platform combining on-chip chemical synthesis, characterization and biological screening. We developed a dendrimer-based surface patterning that enables the generation of high-density nanodroplet arrays for both organic and aqueous liquids. Each droplet (among > 50,000 droplets per plate) functions as an individual, spatially separated nanovessel, that can be used for solution-based synthesis or analytical assays. An additional indium-tin oxide coating enables ultra-fast on-chip detection down to the attomole per droplet by matrix-assisted laser desorption/ionization mass spectrometry. The excellent optical properties of the chemBIOS platform allow for on-chip characterization and in-situ reaction monitoring in the ultraviolet, visible (on-chip UV-Vis spectroscopy and optical microscopy) and infrared (on-chip IR spectroscopy) regions. The platform is compatible with various cell-biological screenings, which opens new avenues in the fields of high-throughput synthesis and drug discovery.

          Abstract

          On-chip synthesis and screening has been used to automate drug discovery but on-chip analysis still remains a major limitation. Here, the authors report on a dendrimer-based surface patterning method to create nanodroplet arrays on materials which allow for on-chip high-throughput analysis.

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          Most cited references23

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          Innovation in the pharmaceutical industry: New estimates of R&D costs.

          The research and development costs of 106 randomly selected new drugs were obtained from a survey of 10 pharmaceutical firms. These data were used to estimate the average pre-tax cost of new drug and biologics development. The costs of compounds abandoned during testing were linked to the costs of compounds that obtained marketing approval. The estimated average out-of-pocket cost per approved new compound is $1395 million (2013 dollars). Capitalizing out-of-pocket costs to the point of marketing approval at a real discount rate of 10.5% yields a total pre-approval cost estimate of $2558 million (2013 dollars). When compared to the results of the previous study in this series, total capitalized costs were shown to have increased at an annual rate of 8.5% above general price inflation. Adding an estimate of post-approval R&D costs increases the cost estimate to $2870 million (2013 dollars).
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            Using Fourier transform IR spectroscopy to analyze biological materials.

            IR spectroscopy is an excellent method for biological analyses. It enables the nonperturbative, label-free extraction of biochemical information and images toward diagnosis and the assessment of cell functionality. Although not strictly microscopy in the conventional sense, it allows the construction of images of tissue or cell architecture by the passing of spectral data through a variety of computational algorithms. Because such images are constructed from fingerprint spectra, the notion is that they can be an objective reflection of the underlying health status of the analyzed sample. One of the major difficulties in the field has been determining a consensus on spectral pre-processing and data analysis. This manuscript brings together as coauthors some of the leaders in this field to allow the standardization of methods and procedures for adapting a multistage approach to a methodology that can be applied to a variety of cell biological questions or used within a clinical setting for disease screening or diagnosis. We describe a protocol for collecting IR spectra and images from biological samples (e.g., fixed cytology and tissue sections, live cells or biofluids) that assesses the instrumental options available, appropriate sample preparation, different sampling modes as well as important advances in spectral data acquisition. After acquisition, data processing consists of a sequence of steps including quality control, spectral pre-processing, feature extraction and classification of the supervised or unsupervised type. A typical experiment can be completed and analyzed within hours. Example results are presented on the use of IR spectra combined with multivariate data processing.
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              Can the pharmaceutical industry reduce attrition rates?

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                Author and article information

                Contributors
                levkin@kit.edu
                Journal
                Nat Commun
                Nat Commun
                Nature Communications
                Nature Publishing Group UK (London )
                2041-1723
                26 October 2020
                26 October 2020
                2020
                : 11
                : 5391
                Affiliations
                [1 ]GRID grid.7892.4, ISNI 0000 0001 0075 5874, Karlsruhe Institute of Technology (KIT), , Institute of Biological and Chemical Systems-Functional Molecular Systems (IBCS-FMS), ; Hermann-von-Helmholtz-Platz 1, 76344 Eggenstein-Leopoldshafen, Germany
                [2 ]GRID grid.423218.e, Bruker Daltonik GmbH, ; Fahrenheitstraße 4, 28359 Bremen, Germany
                [3 ]GRID grid.7892.4, ISNI 0000 0001 0075 5874, Karlsruhe Institute of Technology (KIT), , Institute of Functional Interfaces (IFG), ; Hermann-von-Helmholtz-Platz 1, 76344 Eggenstein-Leopoldshafen, Germany
                [4 ]GRID grid.7892.4, ISNI 0000 0001 0075 5874, Karlsruhe Institute of Technology (KIT), , Institute of Organic Chemistry (IOC), ; Kaiserstraße 12, 76131 Karlsruhe, Germany
                Author information
                http://orcid.org/0000-0002-7986-2628
                http://orcid.org/0000-0002-3454-6509
                http://orcid.org/0000-0002-5975-948X
                Article
                19040
                10.1038/s41467-020-19040-0
                7589500
                33106489
                c4d7b488-8f29-4372-8df8-28105929a261
                © The Author(s) 2020

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 23 April 2020
                : 27 August 2020
                Funding
                Funded by: FundRef https://doi.org/10.13039/501100003542, Ministerium für Wissenschaft, Forschung und Kunst Baden-Württemberg (Ministry of Science, Research and Art Baden-Württemberg);
                Award ID: 7533-7-11.10-7
                Award Recipient :
                Categories
                Article
                Custom metadata
                © The Author(s) 2020

                Uncategorized
                high-throughput screening,combinatorial libraries,drug discovery and development,lab-on-a-chip

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