scholarly journals Codon-Dependent Translational Accuracy Controls Protein Quality in Escherichia coli but not in Saccharomyces cerevisiae

2017 ◽  
Author(s):  
Lyne Jossé ◽  
Connor D. D. Sampson ◽  
Mick F. Tuite ◽  
Kevin Howland ◽  
Tobias von der Haar
Keyword(s):  
Gene Expression ◽  
Codon Usage ◽  
Protein Quality ◽  
Specific Protein ◽  
Protein Activity ◽  
E Coli ◽  
Translational Accuracy ◽  
Model Protein ◽  
Reporter Assays ◽  
Expression Pathways

AbstractIn order to generate a functional proteome, gene expression pathways must assemble proteins accurately according to the rules of the genetic code. General gene expression accuracy is known to be high, but errors nevertheless occur with measurable frequencies. Here we develop a mass-spectrometry (MS) based assay for the detection of a particular type of gene expression error, amino acid misincorporation. This assay allows assessing a much broader range of misincorporation events compared to current, very sensitive but also very specific enzyme reporter assays. Our assay uncovers a remarkably rich pool of error products for a model protein expressed in E. coli, which depend quantitatively on codon usage in the expression construct. This codon usage dependence can be explained in part as a function of the composition of the tRNA pool in this organism. We further show that codon-dependent differences in error levels correlate with measurable changes in specific protein activity. In contrast to E. coli, error levels are lower, and appear not to be codon usage dependent, when the same model protein is expressed in S. cerevisiae.

scholarly journals Analysis of Mutation Bias in Shaping Codon Usage Bias and Its Association with Gene Expression Across Species

10.29007/87r9 ◽  
2020 ◽  
Author(s):  
Zhixiu Lu ◽  
Michael Gilchrist ◽  
Scott Emrich
Keyword(s):  
Gene Expression ◽  
Codon Usage ◽  
Codon Usage Bias ◽  
Synonymous Codon ◽  
Synonymous Codon Usage ◽  
Mutation Bias ◽  
Protein Coding ◽  
E Coli ◽  
Synonymous Codons ◽  
Computation Efficiency

Codon usage bias has been known to reflect the expression level of a protein-coding gene under the evolutionary theory that selection favors certain synonymous codons. Although measuring the effect of selection in simple organisms such as yeast and E. coli has proven to be effective and accurate, codon-based methods perform less well in plants and humans. In this paper, we extend a prior method that incorporates another evolutionary factor, namely mutation bias and its effect on codon usage. Our results indicate that prediction of gene expression is significantly improved under our framework, and suggests that quantification of mutation bias is essential for fully understanding synonymous codon usage. We also propose an improved method, namely MLE-Φ, with much greater computation efficiency and a wider range of applications. An implementation of this method is provided at https://github.com/luzhixiu1996/MLE- Phi.

scholarly journals PSIV-11 Effects of very low-dose antibiotics on gene expression profiles in ileal mucosa of weaned pigs infected with a pathogenic E. coli

2020 ◽  
Vol 98 (Supplement_4) ◽  
pp. 286-286
Author(s):  
Kwangwook Kim ◽  
Sungbong Jang ◽  
Yanhong Liu
Keyword(s):  
Gene Expression ◽  
Systemic Inflammation ◽  
Low Dose ◽  
Expression Profiles ◽  
Gene Expression Profiles ◽  
Post Inoculation ◽  
Growth Promoter ◽  
Weaned Pigs ◽  
Ileal Mucosa ◽  
E Coli

Abstract Our previous studies have shown that supplementation of low-dose antibiotic growth promoter (AGP) exacerbated growth performance and systemic inflammation of weaned pigs infected with pathogenic Escherichia coli (E. coli). The objective of this experiment, which is extension of our previous report, was to investigate the effect of low-dose AGP on gene expression in ileal mucosa of weaned pigs experimentally infected with F18 E. coli. Thirty-four pigs (6.88 ± 1.03 kg BW) were individually housed in disease containment rooms and randomly allotted to one of three treatments (9 to 13 pigs/treatment). The three dietary treatments were control diet (control), and 2 additional diets supplemented with 0.5 or 50 mg/kg of AGP (carbadox), respectively. The experiment lasted 18 d [7 d before and 11 d after first inoculation (d 0)]. The F18 E. coli inoculum was orally provided to all pigs with the dose of 1010 cfu/3 mL for 3 consecutive days. Total RNA [4 to 6 pigs/treatment on d 5; 5 to 7 pigs/treatment on 11 post-inoculation (PI)] was extracted from ileal mucosa to analyze gene expression profiles by Batch-Tag-Seq. The modulated differential gene expression were defined by 1.5-fold difference and a cutoff of P < 0.05 using limma-voom package. All processed data were statistically analyzed and evaluated by PANTHER classification system to determine the biological process function of genes in these lists. Compared to control, supplementation of recommended-dose AGP down-regulated genes related to inflammatory responses on d 5 and 11 PI; whereas, feeding low-dose AGP up-regulated genes associated with negative regulation of metabolic process on d 5, but down-regulated the genes related to immune responses on d 11 PI. The present observations support adverse effects of low-dose AGP in our previous study, indicated by exacerbated the detrimental effects of E. coli infection on pigs’ growth rate, diarrhea and systemic inflammation.

274 Tumoral and peripheral immunophenotype of refractory vs relapse to PD-(L)1 blockade in patients with advanced non-small cell lung cancer

2020 ◽  
Vol 8 (Suppl 3) ◽  
pp. A299-A299
Author(s):  
Maria Ascierto ◽  
Matthew Hellmann ◽  
Nathan Standifer ◽  
Song Wu ◽  
Han Si ◽  
...  
Keyword(s):  
Gene Expression ◽  
Informed Consent ◽  
Checkpoint Inhibitors ◽  
Patient Response ◽  
Calcium Dependent ◽  
Immune Exhaustion ◽  
Previously Treated ◽  
Expression Pathways ◽  
Relapsed Disease ◽  
Written Informed Consent

BackgroundDespite the encouraging successes of immune checkpoint inhibitors, many patients do not benefit and are either refractory or relapse. The mechanisms of refractory or relapsed disease following PD-(L)1 blockade are largely unknown. To identify characteristics associated with refractory or relapsed disease we explored the immune and genomic landscape of samples derived from NSCLC patients who previously received PD-(L)1 blockade and had blood and fresh tumor biopsies collected at the time of progression.MethodsPatient response categories were defined prospectively; ‘refractory’ defined as progression within 16 weeks of initiating PD-(L)1 and ‘relapse’ defined as initial clinical benefit (CR, PR, SD) followed by progression. RNAseq (n=52) and PD-L1 IHC (n=22) were performed on tumor tissue. Immune profiling of whole blood was assessed using flow cytometry or Biomark HD (Fluidigm) gene expression panel (n=54 and n=62, respectively). Differential gene expression was defined as unadjusted p<0.05 and fold-difference >1.5. Pathways analysis was conducted by David tool. Patient samples were collected during screening for clinical trial of second line immunotherapy. Written informed consent was obtained from the patients for publication of this abstract.ResultsIn patients with NSCLC previously treated with PD-(L)1 blockade, tumors of relapsed patients were characterized by increased expression of genes associated with interferon signaling (e.g. CXCL9, SPIC, IFNg), immune suppression (e.g. ARG1, TGFB), immune exhaustion (e.g. ADORA2A), and increased PD-L1 expression (by gene expression and IHC). Refractory disease was associated with increased cadherin signaling and calcium-dependent-cell-adhesion gene expression pathways. In the periphery, reduced quantities of B cells and activated (HLA-DR+ or CD38+) or proliferating (Ki67+) CD8+ T cells were observed in refractory patients.ConclusionsThe tumor and peripheral compartments of patients with NSCLC previously treated with PD-(L)1 blockade differ based on prior response. Relapsed patients tend to have signals of sturdy immune activation and chronic inflammation thus ultimately leading to immune exhaustion. These results may help inform rational therapeutic strategies to overcome resistance to PD-(L)1 blockade in NSCLC.Trial RegistrationNCT02000947Ethics ApprovalResearch on human samples here analyzed have been performed in accordance with the Declaration of Helsinki.ConsentWritten informed consent was obtained from the patient for publication of this abstract.

scholarly journals Massively parallel gene expression variation measurement of a synonymous codon library

BMC Genomics ◽  
2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Alexander Schmitz ◽  
Fuzhong Zhang
Keyword(s):  
Gene Expression ◽  
Codon Usage ◽  
Single Cells ◽  
Massively Parallel ◽  
Protein Abundance ◽  
Translation Efficiency ◽  
Gene Expression Variation ◽  
Expression Variation ◽  
Change In Mean ◽  
Adaptation Index

Abstract Background Cell-to-cell variation in gene expression strongly affects population behavior and is key to multiple biological processes. While codon usage is known to affect ensemble gene expression, how codon usage influences variation in gene expression between single cells is not well understood. Results Here, we used a Sort-seq based massively parallel strategy to quantify gene expression variation from a green fluorescent protein (GFP) library containing synonymous codons in Escherichia coli. We found that sequences containing codons with higher tRNA Adaptation Index (TAI) scores, and higher codon adaptation index (CAI) scores, have higher GFP variance. This trend is not observed for codons with high Normalized Translation Efficiency Index (nTE) scores nor from the free energy of folding of the mRNA secondary structure. GFP noise, or squared coefficient of variance (CV2), scales with mean protein abundance for low-abundant proteins but does not change at high mean protein abundance. Conclusions Our results suggest that the main source of noise for high-abundance proteins is likely not originating at translation elongation. Additionally, the drastic change in mean protein abundance with small changes in protein noise seen from our library implies that codon optimization can be performed without concerning gene expression noise for biotechnology applications.

scholarly journals Refactoring of a synthetic raspberry ketone pathway with EcoFlex

2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Simon J. Moore ◽  
Yonek B. Hleba ◽  
Sarah Bischoff ◽  
David Bell ◽  
Karen M. Polizzi ◽  
...  
Keyword(s):  
Gene Expression ◽  
Synthetic Biology ◽  
Combinatorial Libraries ◽  
Value Added ◽  
Microtiter Plate ◽  
Fine Tuning ◽  
Golden Gate ◽  
E Coli ◽  
Fine Chemical ◽  
Raspberry Ketone

Abstract Background  A key focus of synthetic biology is to develop microbial or cell-free based biobased routes to value-added chemicals such as fragrances. Originally, we developed the EcoFlex system, a Golden Gate toolkit, to study genes/pathways flexibly using Escherichia coli heterologous expression. In this current work, we sought to use EcoFlex to optimise a synthetic raspberry ketone biosynthetic pathway. Raspberry ketone is a high-value (~ £20,000 kg−1) fine chemical farmed from raspberry (Rubeus rubrum) fruit. Results  By applying a synthetic biology led design-build-test-learn cycle approach, we refactor the raspberry ketone pathway from a low level of productivity (0.2 mg/L), to achieve a 65-fold (12.9 mg/L) improvement in production. We perform this optimisation at the prototype level (using microtiter plate cultures) with E. coli DH10β, as a routine cloning host. The use of E. coli DH10β facilitates the Golden Gate cloning process for the screening of combinatorial libraries. In addition, we also newly establish a novel colour-based phenotypic screen to identify productive clones quickly from solid/liquid culture. Conclusions  Our findings provide a stable raspberry ketone pathway that relies upon a natural feedstock (L-tyrosine) and uses only constitutive promoters to control gene expression. In conclusion we demonstrate the capability of EcoFlex for fine-tuning a model fine chemical pathway and provide a range of newly characterised promoter tools gene expression in E. coli.

scholarly journals Anti-EGFR VHH Antibody under Thermal Stress is Better Solubilized with a Lysine than with an Arginine SEP Tag

Biomolecules ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. 810
Author(s):  
Md. Golam Kibria ◽  
Akari Fukutani ◽  
Yoko Akazawa-Ogawa ◽  
Yoshihisa Hagihara ◽  
Yutaka Kuroda
Keyword(s):  
Thermal Stress ◽  
Phosphate Buffer ◽  
Protein Concentration ◽  
Biochemical Analysis ◽  
Stress Condition ◽  
Binding Activity ◽  
Denatured State ◽  
E Coli ◽  
Structural And Functional Properties ◽  
Model Protein

In this study, we assessed the potential of arginine and lysine solubility-enhancing peptide (SEP) tags to control the solubility of a model protein, anti-EGFR VHH-7D12, in a thermally denatured state at a high temperature. We produced VHH-7D12 antibodies attached with a C-terminal SEP tag made of either five or nine arginines or lysines (7D12-C5R, 7D12-C9R, 7D12-C5K and 7D12-C9K, respectively). The 5-arginine and 5-lysine SEP tags increased the E. coli expression of VHH-7D12 by over 80%. Biophysical and biochemical analysis confirmed the native-like secondary and tertiary structural properties and the monomeric nature of all VHH-7D12 variants. Moreover, all VHH-7D12 variants retained a full binding activity to the EGFR extracellular domain. Finally, thermal stress with 45-minute incubation at 60 and 75 °C, where VHH-7D12 variants are unfolded, showed that the untagged VHH-7D12 formed aggregates in all of the four buffers, and the supernatant protein concentration was reduced by up to 35%. 7D12-C5R and 7D12-C9R did not aggregate in Na-acetate (pH 4.7) and Tris-HCl (pH 8.5) but formed aggregates in phosphate buffer (PB, pH 7.4) and phosphate buffer saline (PBS, pH 7.4). The lysine tags (either C5K or C9K) had the strongest solubilization effect, and both 7D12-C5K and 7D12-C9K remained in the supernatant. Altogether, our results indicate that, under a thermal stress condition, the lysine SEP tags solubilization effect is more potent than that of an arginine SEP tags, and the SEP tags did not affect the structural and functional properties of the protein.

scholarly journals E. coli NF73-1 Isolated From NASH Patients Aggravates NAFLD in Mice by Translocating Into the Liver and Stimulating M1 Polarization

2020 ◽  
Vol 10 ◽  
Author(s):  
Yifan Zhang ◽  
Weiwei Jiang ◽  
Jun Xu ◽  
Na Wu ◽  
Yang Wang ◽  
...  
Keyword(s):  
Gene Expression ◽  
Comparative Genomics ◽  
Whole Genome Sequencing ◽  
Genome Sequencing ◽  
Normal Diet ◽  
Specific Gene ◽  
Whole Genome ◽  
Metabolic Switch ◽  
M1 Macrophages ◽  
E Coli

ObjectiveThe gut microbiota is associated with nonalcoholic fatty liver disease (NAFLD). We isolated the Escherichia coli strain NF73-1 from the intestines of a NASH patient and then investigated its effect and underlying mechanism.Methods16S ribosomal RNA (16S rRNA) amplicon sequencing was used to detect bacterial profiles in healthy controls, NAFLD patients and NASH patients. Highly enriched E. coli strains were cultured and isolated from NASH patients. Whole-genome sequencing and comparative genomics were performed to investigate gene expression. Depending on the diet, male C57BL/6J mice were further grouped in normal diet (ND) and high-fat diet (HFD) groups. To avoid disturbing the bacterial microbiota, some of the ND and HFD mice were grouped as “bacteria-depleted” mice and treated with a cocktail of broad-spectrum antibiotic complex (ABX) from the 8th to 10th week. Then, E. coli NF73-1, the bacterial strain isolated from NASH patients, was administered transgastrically for 6 weeks to investigate its effect and mechanism in the pathogenic progression of NAFLD.ResultsThe relative abundance of Escherichia increased significantly in the mucosa of NAFLD patients, especially NASH patients. The results from whole-genome sequencing and comparative genomics showed a specific gene expression profile in E. coli strain NF73-1, which was isolated from the intestinal mucosa of NASH patients. E. coli NF73-1 accelerates NAFLD independently. Only in the HFD-NF73-1 and HFD-ABX-NF73-1 groups were EGFP-labeled E. coli NF73-1 detected in the liver and intestine. Subsequently, translocation of E. coli NF73-1 into the liver led to an increase in hepatic M1 macrophages via the TLR2/NLRP3 pathway. Hepatic M1 macrophages induced by E. coli NF73-1 activated mTOR-S6K1-SREBP-1/PPAR-α signaling, causing a metabolic switch from triglyceride oxidation toward triglyceride synthesis in NAFLD mice.ConclusionsE. coli NF73-1 is a critical trigger in the progression of NAFLD. E. coli NF73-1 might be a specific strain for NAFLD patients.

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