Literature DB >> 11210226

Multiparametric microsensor chips for screening applications.

R Ehret1, W Baumann, M Brischwein, M Lehmann, T Henning, I Freund, S Drechsler, U Friedrich, M L Hubert, E Motrescu, A Kob, H Palzer, H Grothe, B Wolf.   

Abstract

The identification of drug targets for pharmaceutical screening can be greatly accelerated by gene databases and expression studies. The identification of leading compounds from growing libraries is realized by high throughput screening platforms. Subsequently, for optimization and validation of identified leading compounds studies of their functionality have to be carried out, and just these functionality tests are a limiting factor. A rigorous preselection of identified compounds by in vitro cellular screening is necessary prior to using the drug candidates for the further time consuming and expensive stage, e.g. in animal models. Our efforts are focused to the parallel development, adaptation and integration of different microelectronic sensors into miniaturized biochips for a multiparametric, functional on-line analysis of living cells in physiologically environments. Parallel and on-line acquisition of data related to different cellular targets is required for advanced stages of drug screening and for economizing animal tests.

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Year:  2001        PMID: 11210226     DOI: 10.1007/s002160000628

Source DB:  PubMed          Journal:  Fresenius J Anal Chem        ISSN: 0937-0633


  8 in total

1.  Dynamic analysis of metabolic effects of chloroacetaldehyde and cytochalasin B on tumor cells using bioelectronic sensor chips.

Authors:  E R Motrescu; A M Otto; M Brischwein; S Zahler; B Wolf
Journal:  J Cancer Res Clin Oncol       Date:  2005-10-20       Impact factor: 4.553

2.  Use of electric cell-substrate impedance sensing to assess in vitro cytotoxicity.

Authors:  Daniel Opp; Brian Wafula; Jennifer Lim; Eric Huang; Jun-Chih Lo; Chun-Min Lo
Journal:  Biosens Bioelectron       Date:  2009-01-23       Impact factor: 10.618

3.  Pericellular oxygen monitoring with integrated sensor chips for reproducible cell culture experiments.

Authors:  J Kieninger; K Aravindalochanan; J A Sandvik; E O Pettersen; G A Urban
Journal:  Cell Prolif       Date:  2014-01-25       Impact factor: 6.831

4.  Reaction-diffusion modelling for microphysiometry on cellular specimens.

Authors:  Daniel Grundl; Xiaorui Zhang; Safa Messaoud; Cornelia Pfister; Franz Demmel; Mario S Mommer; Bernhard Wolf; Martin Brischwein
Journal:  Med Biol Eng Comput       Date:  2012-12-01       Impact factor: 2.602

5.  High throughput single molecule detection for monitoring biochemical reactions.

Authors:  Paul I Okagbare; Steven A Soper
Journal:  Analyst       Date:  2008-11-24       Impact factor: 4.616

6.  [N,N'-Bis(salicylidene)-1,2-phenylenediamine]metal complexes with cell death promoting properties.

Authors:  Annegret Hille; Ingo Ott; Ana Kitanovic; Igor Kitanovic; Hamed Alborzinia; Elke Lederer; Stefan Wölfl; Nils Metzler-Nolte; Sven Schäfer; William S Sheldrick; Caroline Bischof; Ulrich Schatzschneider; Ronald Gust
Journal:  J Biol Inorg Chem       Date:  2009-03-04       Impact factor: 3.358

7.  Real-time monitoring of cisplatin-induced cell death.

Authors:  Hamed Alborzinia; Suzan Can; Pavlo Holenya; Catharina Scholl; Elke Lederer; Igor Kitanovic; Stefan Wölfl
Journal:  PLoS One       Date:  2011-05-16       Impact factor: 3.240

8.  Continuous multiparametric monitoring of cell metabolism in response to transient overexpression of the sirtuin deacetylase SIRT3.

Authors:  Christian-Lars Dransfeld; Hamed Alborzinia; Stefan Wölfl; Ulrich Mahlknecht
Journal:  Clin Epigenetics       Date:  2010-06-13       Impact factor: 6.551

  8 in total

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