Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Ultra-deep RNA-seq of in vitro and in vivo transcripts by Escherichia coli RNA polymerase

ABSTRACT: We report a high-resolution Illumina RNA-seq method that can analyze non-coded base substitutions in mRNA at 10(-4)-10(-5) per base frequencies in vitro and in vivo. The RNA samples were generated by transcription of pPR9 plasmid that contains a 5.7 kb fragment of E. coli rpoBC operon transcribed from a strong lambda phage PR promoter and terminated at an fd phage transcription terminator. The reference transcription reaction was performed in a buffer with 5 mM MgCl2 to determine the standard error rate (barcode 1). To reduce fidelity, we replaced Mg2+ with Mn2+ (barcode 2). To increase fidelity, we added GreA/GreB proteins for proofreading activity (barode 3 and 4). The same transcrit was purified from E. coli cells (barcode 5).

ORGANISM(S): Escherichia coli

SUBMITTER: Masahiko Imashimizu

PROVIDER: E-GEOD-46479 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

Direct assessment of transcription fidelity by high-resolution RNA sequencing.

Imashimizu Masahiko M Oshima Taku T Lubkowska Lucyna L Kashlev Mikhail M

Nucleic acids research 20130807 19

Cancerous and aging cells have long been thought to be impacted by transcription errors that cause genetic and epigenetic changes. Until now, a lack of methodology for directly assessing such errors hindered evaluation of their impact to the cells. We report a high-resolution Illumina RNA-seq method that can assess noncoded base substitutions in mRNA at 10(-4)-10(-5) per base frequencies in vitro and in vivo. Statistically reliable detection of changes in transcription fidelity through ∼10(3) nt ...[more]

PMID: 23925128

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Project description:Binding of transcription factors (TFs) to regulatory sequences is a pivotal step in the control of gene expression. Despite many advances in the characterization of sequence motifs recognized by TFs, our ability to quantitatively predict TF binding to different regulatory sequences is still limited. Here, we present a novel experimental assay termed BunDLE-seq that provides quantitative measurements of TF binding to thousands of fully designed sequences of 200 bp in length within a single experiment. Applying this binding assay to two yeast TFs we demonstrate that sequences outside the core TF binding site profoundly affect TF binding. We show that TF-specific models based on the sequence or DNA shape of the regions flanking the core binding site are highly predictive of the measured differential TF binding. We further characterize the dependence of TF binding, accounting for measurements of single and co-occurring binding events, on the number and location of binding sites and on the TF concentration. Finally, by coupling our in vitro TF binding measurements, and another application of our method probing nucleosome formation, to in vivo expression measurements carried out with the same template sequences now serving and promoters, we offer insights into mechanisms that may determine the different expression outcomes observed. Our assay thus paves the way to a more comprehensive understanding of TF binding to regulatory sequences, and allows the characterization of TF binding determinants within and outside of core binding sites. Binding experiments were carried out with one of two input libraries; Lib1 (also referred to as “main lib”) includes designed sequence variants of length 150bp, and Lib2 (also referred to as “constant flanks lib”) includes designed sequence variants of length 200bp. The sequences of the variants of interest can be found in the second column of the processed data file (BunDLE-seq_data, see 3 excel sheets). EXP1, EXP2 and EXP3 were carried out using Lib1, and EXP4 was carried out using Lib2. Binding experiments were carried out with different proteins (in different concentrations) – DNA was extracted from bound bands that were formed on the gel and amplified with a primer with a unique 5bp upstream tail specifying the identity of the originating band (also referred to as “band barcode”). Data from the following bands was used in the analysis: EXP1_band1, no-protein band – with band barcode “AACGA”, EXP1_band2, single Gcn4 (conc 1:8) bound band* – with band barcode “TCGTA” , EXP1_band3, histones bound band – with band barcode “AGATA”, EXP2_band1, no-protein band – with band barcode “AACGA”, EXP2_band2, single Gcn4 (conc 1:8) bound band* – with band barcode “AGATA”, EXP2_band2, single Gcn4 (conc 1:7) bound band – with band barcode “CACTT”, EXP2_band2, single Gcn4 (conc 1:6) bound band – with band barcode “TCGTA”, EXP2_band2, single Gcn4 (conc 1:5) bound band – with band barcode “CATCA”, EXP2_band2, single Gcn4 (conc 1:4) bound band – with band barcode “TATTA”, EXP2_band2, single Gcn4 (conc 1:3) bound band – with band barcode “AGTCA”, EXP2_band2, single Gcn4 (conc 1:2) bound band – with band barcode “ACGAA”, EXP2_band2, single Gcn4 (conc 1:1) bound band – with band barcode “ACAGA”, EXP2_band2, two Gcn4 (conc 1:1) bound band – barcoded with “GTAGA”, EXP3_band1, no-protein band – with band barcode “GCATA”, EXP3_band2, single Gal4 (conc 1:1) bound band – with band barcode “GATGT”, EXP3_band3, single Gal4 (conc 3:1) bound band – with band barcode “GTTCA”, EXP3_band4, two Gal4 (conc 3:1) bound band – with band barcode “CTCAA”, EXP4_band1, no-protein band – with band barcode “GAGTA”, EXP4_band2, single Gcn4 (conc 1:3) bound band – “TACCA”, EXP4_band3, no-protein band – with band barcode “TCGTT”, EXP4_band3, single Gal4 (conc 3:1) bound band – with band barcode “ACATC”, *biological replicates

Project description:Bacteriophage infection of Lactococcus lactis strains used in the manufacture of fermented milk products is a major threat for the dairy industry. A greater understanding of the global molecular response of the bacterial host following phage infection has the potential to identify new targets for the design of phage control measures for biotechnological processes. In this study, we have used whole-genome oligonucleotide microarrays to gain insights into the genomic intelligence driving the instinctive response of L. lactis subsp. lactis IL1403 to the onset of a challenge with the lytic prolate-headed phage c2. Following phage adsorption, the bacterium differentially regulated the expression of 61 genes belonging to 14 functional categories, and mostly to cell envelope (12 genes), regulatory functions (11 genes), and carbohydrate metabolism (7 genes). The nature of the differentially regulated genes suggests the orchestration of a complex response involving induction of cell envelope stress proteins, D-alanylation of cell-wall lipoteichoic acids (LTAs), restoration of the proton motive force (PMF), and energy conservation. Increased D-alanylation of LTAs would act as an adsorption blocking mechanism, which we speculate may allow the survival of a small percent of the cell population when facing more realistic in vivo low titer-phage attacks. The modification of LTAs decoration in response to phage c2 adsorption also suggests these cell wall structures as possible primary receptors for this phage. Restoration of a physiological PMF is achieved by regulating the expression of genes affecting the two main components of the PMF, and serves to reverse a drastic depolarization of the host membrane caused by phage adsorption. Down-regulation of energy-consuming metabolic activities and a switch to anaerobic respiration helps the bacterium to save energy in order to sustain the PMF and the overall response to phage. We finally propose that the overall transcriptional response of L. lactis IL1403 to the phage stimuli is orchestrated by the concerted action of Phage Shock Proteins and of the bivalent transcriptional regulator SpxB following activation by the two-component system CesSR. To our knowledge, this represents the first detailed description in L. lactis, and probably in Gram-positive bacteria, of the molecular mechanisms involved in the host response to the membrane perturbation mediated by phage adsorption. Two-condition experiment: IL1403 vs. Bacteriophage c2-infected IL1403 cells. Biological replicates: 2 controls, 2 infected, independently grown and harvested. Two technical replicates per array.

Dataset Information

Ultra-deep RNA-seq of in vitro and in vivo transcripts by Escherichia coli RNA polymerase

Publications

Direct assessment of transcription fidelity by high-resolution RNA sequencing.

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