scholarly journals Universal correction of enzymatic sequence bias reveals molecular signatures of protein/DNA interactions

2017 ◽  
Author(s):  
André L. Martins ◽  
Ninad M. Walavalkar ◽  
Warren D. Anderson ◽  
Chongzhi Zang ◽  
Michael J. Guertin

AbstractCoupling molecular biology to high throughput sequencing has revolutionized the study of biology. Molecular genomics techniques are continually refined to provide higher resolution mapping of nucleic acid interactions and structure. Sequence preferences of enzymes can interfere with the accurate interpretation of these data. We developed seqOutBias to characterize enzymatic sequence bias from experimental data and scale individual sequence reads to correct intrinsic enzymatic sequence biases. SeqOutBias efficiently corrects DNase-seq, TACh-seq, ATAC-seq, MNase-seq, and PRO-seq data. We show that seqOutBias correction facilitates identification of true molecular signatures resulting from transcription factors and RNA polymerase interacting with DNA.

2017 ◽  
Vol 46 (2) ◽  
pp. e9-e9 ◽  
Author(s):  
André L Martins ◽  
Ninad M Walavalkar ◽  
Warren D Anderson ◽  
Chongzhi Zang ◽  
Michael J Guertin

2019 ◽  
Vol 48 (4) ◽  
pp. 971-988 ◽  
Author(s):  
Andrew Kellett ◽  
Zara Molphy ◽  
Creina Slator ◽  
Vickie McKee ◽  
Nicholas P. Farrell

Herein we provide an accessible account of molecular methods to probe inorganic–nucleic acid interactions. Techniques are described using copper(ii) and platinum(ii) complexes prepared in our laboratories.


Methods ◽  
2009 ◽  
Vol 48 (3) ◽  
pp. 240-248 ◽  
Author(s):  
Dominic Schmidt ◽  
Michael D. Wilson ◽  
Christiana Spyrou ◽  
Gordon D. Brown ◽  
James Hadfield ◽  
...  

2014 ◽  
Vol 70 (a1) ◽  
pp. C203-C203
Author(s):  
Andrzej Joachimiak ◽  
Grazyna Joachimiak ◽  
Lance Bigelow ◽  
Garrett Cobb ◽  
Youngchang Kim

Precise tuning of gene expression by transcriptional regulators determines the response to internal and external chemical signals and adjusts the metabolic machinery for many cellular processes. As a part of ongoing efforts by the Midwest Center for Structural Genomics, a number of transcription factors were selected to study protein-ligand and protein-DNA interactions. HcaR, a new member of the MarR/SlyA family of transcription regulators from soil bacteria Acinetobacter sp. ADP1, is an evolutionarily atypical regulator and represses hydroxycinnamate (hca) catabolic genes. Hydroxycinnamates containing an aromatic ring play diverse, critical roles in plant architecture and defense. HcaR regulates the expression of the hca catabolic operon, allowing this and related bacterial strains to utilize hydroxycinnamates: ferulate, p-coumarate, and caffeate as sole sources of carbon and energy. HcaR appears to be capable of responding to multiple aromatic ligands. These aromatic compounds bind to HcaR and reduce its affinity to the specific DNA sites. As a result, the transcription of genes encoding several catabolic enzymes is up-regulated. The HcaR structures of the apo-form and in a complex with several ligands: ferulic acid, 3,4 dihydroxybenzoic acid, vanillin and p-coumaric acid have been determined to understand how HcaR accommodates various aromatic compounds using the same binding pocket. We also have identified a potential DNA site for HcaR in the regulatory region upstream of the genes of the hca catabolic operon in Acinetobacter sp. ADP1 and have confirmed DNA binding by EMSA. The co-crystal structure of HcaR and palindromic 24-mer DNA has been determined for this DNA site. The crystal structures of HcaR, the apo-form, ligand-bound forms, and the specific DNA-bound form provide critical structural basis of protein-ligand (substrates or product) and protein-DNA interactions to understand the regulation of the expression of hydroxycinnamate (hca) catabolic genes. Our studies allow for better understanding of DNA-binding and regulation by this important group of transcription factors belonging to the MarR/SlyA families. This work was supported by National Institutes of Health grant GM094585 and by the U. S. Department of Energy, Office of Biological and Environmental Research, under contract DE-AC02-06CH11357.


MedChemComm ◽  
2012 ◽  
Vol 3 (5) ◽  
pp. 541 ◽  
Author(s):  
Jeremy L. Yap ◽  
Jay Chauhan ◽  
Kwan-Young Jung ◽  
Lijia Chen ◽  
Edward V. Prochownik ◽  
...  

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Shi-qi An ◽  
Miguel A. Valvano ◽  
Yan-hua Yu ◽  
Jeremy S. Webb ◽  
Guillermo Lopez Campos

Abstract Background Interactions between transcription factors and DNA lie at the centre of many biological processes including DNA recombination, replication, repair and transcription. Most bacteria encode diverse proteins that act as transcription factors to regulate various traits. Several technologies for identifying protein–DNA interactions at the genomic level have been developed. Bind-n-seq is a high-throughput in vitro method first deployed to analyse DNA interactions associated with eukaryotic zinc-finger proteins. The method has three steps (i) binding protein to a randomised oligonucleotide DNA target library, (ii) deep sequencing of bound oligonucleotides, and (iii) a computational algorithm to define motifs among the sequences. The classical Bind-n-seq strategy suffers from several limitations including a lengthy wet laboratory protocol and a computational algorithm that is difficult to use. We introduce here an improved, rapid, and simplified Bind-n-seq protocol coupled with a user-friendly downstream data analysis and handling algorithm, which has been optimized for bacterial target proteins. We validate this new protocol by showing the successful characterisation of the DNA-binding specificities of YipR (YajQ interacting protein regulator), a well-known transcriptional regulator of virulence genes in the bacterial phytopathogen Xanthomonas campestris pv. campestris (Xcc). Results The improved Bind-n-seq approach identified several DNA binding motif sequences for YipR, in particular the CCCTCTC motif, which were located in the promoter regions of 1320 Xcc genes. Informatics analysis revealed that many of these genes regulate functions associated with virulence, motility, and biofilm formation and included genes previously found involved in virulence. Additionally, electromobility shift assays show that YipR binds to the promoter region of XC_2633 in a CCCTCTC motif-dependent manner. Conclusion We present a new and rapid Bind-n-seq protocol that should be useful to investigate DNA-binding proteins in bacteria. The analysis of YipR DNA binding using this protocol identifies a novel DNA sequence motif in the promoter regions of target genes that define the YipR regulon.


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