Literature DB >> 21938622

MITOMI: a microfluidic platform for in vitro characterization of transcription factor-DNA interaction.

Sylvie Rockel1, Marcel Geertz, Sebastian J Maerkl.   

Abstract

Gene regulatory networks (GRNs) consist of transcription factors (TFs) that determine the level of gene expression by binding to specific DNA sequences. Mapping all TF-DNA interactions and elucidating their dynamics is a major goal to generate comprehensive models of GRNs. Measuring quantitative binding affinities of large sets of TF-DNA interactions requires the application of novel tools and methods. These tools need to cope with the difficulties related to the facts that TFs tend to be expressed at low levels in vivo, and often form only transient interactions with both DNA and their protein partners. Our approach describes a high-throughput microfluidic platform with a novel detection principle based on the mechanically induced trapping of molecular interactions (MITOMI). MITOMI allows the detection of transient and low-affinity TF-DNA interactions in high-throughput.

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Year:  2012        PMID: 21938622     DOI: 10.1007/978-1-61779-292-2_6

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  9 in total

1.  Landscape of allele-specific transcription factor binding in the human genome.

Authors:  Sergey Abramov; Alexandr Boytsov; Daria Bykova; Dmitry D Penzar; Ivan Yevshin; Semyon K Kolmykov; Marina V Fridman; Alexander V Favorov; Ilya E Vorontsov; Eugene Baulin; Fedor Kolpakov; Vsevolod J Makeev; Ivan V Kulakovskiy
Journal:  Nat Commun       Date:  2021-05-12       Impact factor: 14.919

2.  A microfluidic platform for high-throughput multiplexed protein quantitation.

Authors:  Francesca Volpetti; Jose Garcia-Cordero; Sebastian J Maerkl
Journal:  PLoS One       Date:  2015-02-13       Impact factor: 3.240

3.  Two distinct promoter architectures centered on dynamic nucleosomes control ribosomal protein gene transcription.

Authors:  Britta Knight; Slawomir Kubik; Bhaswar Ghosh; Maria Jessica Bruzzone; Marcel Geertz; Victoria Martin; Nicolas Dénervaud; Philippe Jacquet; Burak Ozkan; Jacques Rougemont; Sebastian J Maerkl; Félix Naef; David Shore
Journal:  Genes Dev       Date:  2014-08-01       Impact factor: 11.361

Review 4.  Microfluidics for genome-wide studies involving next generation sequencing.

Authors:  Sai Ma; Travis W Murphy; Chang Lu
Journal:  Biomicrofluidics       Date:  2017-03-10       Impact factor: 2.800

5.  TFLink: an integrated gateway to access transcription factor-target gene interactions for multiple species.

Authors:  Orsolya Liska; Balázs Bohár; András Hidas; Tamás Korcsmáros; Balázs Papp; Dávid Fazekas; Eszter Ari
Journal:  Database (Oxford)       Date:  2022-09-16       Impact factor: 4.462

6.  BEESEM: estimation of binding energy models using HT-SELEX data.

Authors:  Shuxiang Ruan; S Joshua Swamidass; Gary D Stormo
Journal:  Bioinformatics       Date:  2017-08-01       Impact factor: 6.937

7.  iSLIM: a comprehensive approach to mapping and characterizing gene regulatory networks.

Authors:  Sylvie Rockel; Marcel Geertz; Korneel Hens; Bart Deplancke; Sebastian J Maerkl
Journal:  Nucleic Acids Res       Date:  2012-12-20       Impact factor: 16.971

8.  Computational identification of diverse mechanisms underlying transcription factor-DNA occupancy.

Authors:  Qiong Cheng; Majid Kazemian; Hannah Pham; Charles Blatti; Susan E Celniker; Scot A Wolfe; Michael H Brodsky; Saurabh Sinha
Journal:  PLoS Genet       Date:  2013-08-01       Impact factor: 5.917

Review 9.  Integrating Immunology and Microfluidics for Single Immune Cell Analysis.

Authors:  Nidhi Sinha; Nikita Subedi; Jurjen Tel
Journal:  Front Immunol       Date:  2018-10-16       Impact factor: 7.561

  9 in total

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