Report for: Gene Regulation

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Chapter title	Electrophoretic Mobility-Shift and Super-Shift Assays for Studies and Characterization of Protein–DNA Complexes
Chapter number	12
Book title	Gene Regulation
Published in	Methods in molecular biology, January 2013
DOI	10.1007/978-1-62703-284-1_12
Pubmed ID	23436360
Book ISBNs	978-1-62703-283-4, 978-1-62703-284-1
Authors	Elsie I. Parés-Matos, Parés-Matos, Elsie I.
Abstract	Gene expression is in part regulated by transcription factors that bind specific sequence motifs in genomic DNA. Transcription factors cooperate with the basal machinery to upregulate or downregulate transcription. Experimental data have revealed the importance of interactions among members of distinct families of transcription factors to form complexes that regulate gene expression. Thus, a full characterization of protein-DNA complexes is essential to understanding of gene regulation in a more complex cellular environment. Electrophoretic mobility shift assay (EMSA) is a powerful technique to resolve nucleic acid-protein complexes formed with transcription factors in nuclear extracts. Herein is described how EMSA and super-shift assays were used to characterize several complexes produced from binding of transcription factors to a regulatory DNA sequence upstream from the promoter region of the human NF-IL6 gene.

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Mendeley readers

The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country	Count	As %
Unknown	15	100%

Demographic breakdown

Readers by professional status	Count	As %
Student > Ph. D. Student	4	27%
Student > Doctoral Student	2	13%
Professor	1	7%
Professor > Associate Professor	1	7%
Researcher	1	7%
Other	0	0%
Unknown	6	40%

Readers by discipline	Count	As %
Biochemistry, Genetics and Molecular Biology	4	27%
Agricultural and Biological Sciences	2	13%
Unspecified	1	7%
Chemistry	1	7%
Engineering	1	7%
Other	0	0%
Unknown	6	40%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 12 March 2014.

All research outputs

#20,223,099

of 22,747,498 outputs

Outputs from Methods in molecular biology

#9,860

of 13,089 outputs

Outputs of similar age

#248,866

of 280,854 outputs

Outputs of similar age from Methods in molecular biology

#298

of 340 outputs

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Gene Regulation

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Attention Score in Context