Literature DB >> 30797033

Functional assays for transcription mechanisms in high-throughput.

Chenxi Qiu1, Craig D Kaplan2.   

Abstract

Dramatic increases in the scale of programmed synthesis of nucleic acid libraries coupled with deep sequencing have powered advances in understanding nucleic acid and protein biology. Biological systems centering on nucleic acids or encoded proteins greatly benefit from such high-throughput studies, given that large DNA variant pools can be synthesized and DNA, or RNA products of transcription, can be easily analyzed by deep sequencing. Here we review the scope of various high-throughput functional assays for studies of nucleic acids and proteins in general, followed by discussion of how these types of study have yielded insights into the RNA Polymerase II (Pol II) active site as an example. We discuss methodological considerations in the design and execution of these experiments that should be valuable to studies in any system.
Copyright © 2019 The Authors. Published by Elsevier Inc. All rights reserved.

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Year:  2019        PMID: 30797033      PMCID: PMC6589137          DOI: 10.1016/j.ymeth.2019.02.017

Source DB:  PubMed          Journal:  Methods        ISSN: 1046-2023            Impact factor:   3.608


  158 in total

1.  Divergent contributions of conserved active site residues to transcription by eukaryotic RNA polymerases I and II.

Authors:  Olga V Viktorovskaya; Krysta L Engel; Sarah L French; Ping Cui; Paul J Vandeventer; Emily M Pavlovic; Ann L Beyer; Craig D Kaplan; David A Schneider
Journal:  Cell Rep       Date:  2013-08-29       Impact factor: 9.423

2.  Evolutionary information for specifying a protein fold.

Authors:  Michael Socolich; Steve W Lockless; William P Russ; Heather Lee; Kevin H Gardner; Rama Ranganathan
Journal:  Nature       Date:  2005-09-22       Impact factor: 49.962

3.  Composability of regulatory sequences controlling transcription and translation in Escherichia coli.

Authors:  Sriram Kosuri; Daniel B Goodman; Guillaume Cambray; Vivek K Mutalik; Yuan Gao; Adam P Arkin; Drew Endy; George M Church
Journal:  Proc Natl Acad Sci U S A       Date:  2013-08-07       Impact factor: 11.205

4.  A Protocol for Functional Assessment of Whole-Protein Saturation Mutagenesis Libraries Utilizing High-Throughput Sequencing.

Authors:  Michael A Stiffler; Subu K Subramanian; Victor H Salinas; Rama Ranganathan
Journal:  J Vis Exp       Date:  2016-07-03       Impact factor: 1.355

5.  Protein sectors: evolutionary units of three-dimensional structure.

Authors:  Najeeb Halabi; Olivier Rivoire; Stanislas Leibler; Rama Ranganathan
Journal:  Cell       Date:  2009-08-21       Impact factor: 41.582

6.  Multiplexed protein-DNA cross-linking: Scrunching in transcription start site selection.

Authors:  Jared T Winkelman; Irina O Vvedenskaya; Yuanchao Zhang; Yu Zhang; Jeremy G Bird; Deanne M Taylor; Richard L Gourse; Richard H Ebright; Bryce E Nickels
Journal:  Science       Date:  2016-03-04       Impact factor: 47.728

7.  Systematic Functional Dissection of Common Genetic Variation Affecting Red Blood Cell Traits.

Authors:  Jacob C Ulirsch; Satish K Nandakumar; Li Wang; Felix C Giani; Xiaolan Zhang; Peter Rogov; Alexandre Melnikov; Patrick McDonel; Ron Do; Tarjei S Mikkelsen; Vijay G Sankaran
Journal:  Cell       Date:  2016-06-02       Impact factor: 41.582

8.  Amplification of complex gene libraries by emulsion PCR.

Authors:  Richard Williams; Sergio G Peisajovich; Oliver J Miller; Shlomo Magdassi; Dan S Tawfik; Andrew D Griffiths
Journal:  Nat Methods       Date:  2006-07       Impact factor: 28.547

9.  High-resolution mapping of protein sequence-function relationships.

Authors:  Douglas M Fowler; Carlos L Araya; Sarel J Fleishman; Elizabeth H Kellogg; Jason J Stephany; David Baker; Stanley Fields
Journal:  Nat Methods       Date:  2010-08-15       Impact factor: 28.547

10.  Decoding long nanopore sequencing reads of natural DNA.

Authors:  Andrew H Laszlo; Ian M Derrington; Brian C Ross; Henry Brinkerhoff; Andrew Adey; Ian C Nova; Jonathan M Craig; Kyle W Langford; Jenny Mae Samson; Riza Daza; Kenji Doering; Jay Shendure; Jens H Gundlach
Journal:  Nat Biotechnol       Date:  2014-06-25       Impact factor: 54.908

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  2 in total

1.  Expression level is a major modifier of the fitness landscape of a protein coding gene.

Authors:  Zhuoxing Wu; Xiujuan Cai; Xin Zhang; Yao Liu; Guo-Bao Tian; Jian-Rong Yang; Xiaoshu Chen
Journal:  Nat Ecol Evol       Date:  2021-11-18       Impact factor: 15.460

2.  Inhibition of transcription leads to rewiring of locus-specific chromatin proteomes.

Authors:  Deepani W Poramba-Liyanage; Tessy Korthout; Christine E Cucinotta; Ila van Kruijsbergen; Tibor van Welsem; Dris El Atmioui; Huib Ovaa; Toshio Tsukiyama; Fred van Leeuwen
Journal:  Genome Res       Date:  2020-03-18       Impact factor: 9.043

  2 in total

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