Metabolic Engineering Research Research Articles

Development of a xylose-inducible and glucose-insensitive expression system for Parageobacillus thermoglucosidasius

Inducible expression systems are pivotal for governing gene expression in strain engineering and synthetic biotechnological applications. Therefore, a critical need persists for the development of versatile and efficient inducible expression mechanisms. In this study, the xylose-responsive promoter xylA5p and its transcriptional regulator XylR were identified in Parageobacillus thermoglucosidasius DSM 2542. By combining promoter xylA5p with its regulator XylR, fine-tuning the expression strength of XylR, and reducing the glucose catabolite repression on xylose uptake, we successfully devised a xylose-inducible and glucose-insensitive expression system, denoted as IExyl*. This system exhibited diverse promoter strengths upon induction with xylose at varying concentrations and remained unhindered in the presence of glucose. Moreover, we showed the applicability of IExyl* in P. thermoglucosidasius by redirecting metabolic flux towards riboflavin biosynthesis, culminating in a 2.8-fold increase in riboflavin production compared to that of the starting strain. This glucose-insensitive and xylose-responsive expression system provides valuable tools for designing optimized biosynthetic pathways for high-value products and facilitates future synthetic biology investigations in Parageobacillus.Key points• A xylose-inducible and glucose-insensitive expression system IExyl* was developed.• IExyl* was applied to enhance the riboflavin production in P. thermoglucosidasius• A tool for metabolic engineering and synthetic biology research in Parageobacillus strains.

Recent Advances in Phenazine Natural Products: Biosynthesis and Metabolic Engineering.

Phenazine natural products are a class of nitrogen-containing heterocyclic compounds produced by microorganisms. The tricyclic ring molecules show various chemical structures and extensive pharmacological activities, such as antimicrobial, anticancer, antiparasitic, anti-inflammatory, and insecticidal activities, with low toxicity to the environment. Since phenazine-1-carboxylic acid has been developed as a registered biopesticide, the application of phenazine natural products will be promising in the field of agriculture pathogenic fungi control based on broad-spectrum antifungal activity, minimal toxicity to the environment, and improvement of crop production. Currently, there are still plenty of intriguing hidden biosynthetic pathways of phenazine natural products to be discovered, and the titer of naturally occurring phenazine natural products is insufficient for agricultural applications. In this review, we spotlight the progress regarding biosynthesis and metabolic engineering research of phenazine natural products in the past decade. The review provides useful insights concerning phenazine natural products production and more clues on new phenazine derivatives biosynthesis.

Enzyme metabolism and functions in vitamin biosynthesis pathways

Vitamins, as indispensable organic compounds in life activities, demonstrate a complex and refined metabolic network in organisms. This network involves the coordination of multiple enzymes and the integration of various metabolic pathways. Despite the achievements in metabolic engineering and catalytic mechanism research, the lack of studies regarding detailed enzymatic properties for a large number of key enzymes limits the enhancement of vitamin production efficiency and hinders the in-depth understanding and optimization of vitamin synthesis mechanisms. Such limitations not only restrict the industrial application of vitamins but also impede the development of related bio-technologies. This study comprehensively reviews the research progress in the enzymes involved in vitamin biosynthesis and details the current status of research on the enzymes of 13 vitamin synthesis pathways, including their catalytic mechanisms, kinetic properties, and applications in biology. In addition, this study compares the properties of enzymes involved in vitamin metabolic pathways and the glycolysis pathway, and reveals the characteristics of catalytic efficiency and substrate affinity of enzymes in vitamin synthesis pathways. Furthermore, this study discusses the potential and prospects of applying deep learning methods to the research on properties of enzymes associated with vitamin biosynthesis, giving new insights into the production and optimization of vitamins.

CRISPR driven Cyanobacterial Metabolic Engineering and its role in metabolite production

Recently, the advancement in sustainable methods for fabricating novel metabolites is one of the prime challenges in metabolic engineering. The current increase in fuel prices and its limited supply made the scientific community more concerned about finding an alternate source of fuel generation. Scientists are now interested in biofuel because of its low cost and ease of production. An intriguing area of research in metabolic engineering is using imaginative manipulation of microbes to manufacture chemicals or molecules of commercial importance. One such bacterium whose commercial potential is rapidly attracting the attention of the scientific fraternity is Cyanobacteria, which are either single-celled or multi-cellular filamentous photosynthetic organisms that can also fix CO2. The generation of biofuel has been transformed by the use of CRISPR (clustered regularly interspaced short palindromic repeats) technology in cyanobacteria, which allows for precise genetic alterations to improve their metabolic processes. Scientists can effectively modify the cyanobacterial genome using CRISPR to increase lipid accumulation, maximize photosynthetic efficiency, and enhance stress tolerance. Cyanobacteria have gained attention in the scientific community as a potential source for biofuel production due to several advantageous characteristics like photosynthetic capacity, genetic manipulation, lack of dependency on fertile land, high biomass yield, versatile biofuel production etc. which our present manuscript aims to catalogue. Cyanobacteria play a pivotal role in developing environmentally friendly energy solutions by converting CO2 into renewable energy sources, serving as a flexible platform for producing different types of biofuels and reducing greenhouse gas emissions.

Efficient CRISPR-mediated C-to-T base editing in Komagataella phaffii.

The nonconventional methylotrophic yeast Komagataella phaffii is widely applied in the production of industrial enzymes, pharmaceutical proteins, and various high-value chemicals. The development of robust and versatile genome editing tools for K. phaffii is crucial for the design of increasingly advanced cell factories. Here, we first developed a base editing method for K. phaffii based on the CRISPR-nCas9 system. We engineered 24 different base editor constructs, using a variety of promoters and cytidine deaminases (CDAs). The optimal base editor (PAOX2*-KpA3A-nCas9-KpUGI-DAS1TT) comprised a truncated AOX2 promoter (PAOX2*), a K. phaffii codon-optimized human APOBEC3A CDA (KpA3A), human codon-optimized nCas9 (D10A), and a K. phaffii codon-optimized uracil glycosylase inhibitor (KpUGI). This optimal base editor efficiently performed C-to-T editing in K. phaffii, with single-, double-, and triple-locus editing efficiencies of up to 96.0%, 65.0%, and 5.0%, respectively, within a 7-nucleotide window from C-18 to C-12. To expand the targetable genomic region, we also replaced nCas9 in the optimal base editor with nSpG and nSpRy, and achieved 50.0%-60.0% C-to-T editing efficiency for NGN-protospacer adjacent motif (PAM) sites and 20.0%-93.2% C-to-T editing efficiency for NRN-PAM sites, respectively. Therefore, these constructed base editors have emerged as powerful tools for gene function research, metabolic engineering, genetic improvement, and functional genomics research in K. phaffii.

Whole genome based identification of BAHD acyltransferase gene involved in piperine biosynthetic pathway in black pepper

Black pepper (Piper nigrum L.), a crop of the genus Piper, is an important spice that has both economic and ecological significance. It is widely regarded as the “King of Spices” because of its pungency, attributed to the presence of piperine. BAHD acyl transferase, the crucial enzyme involved in the final step in piperine biosynthesis was the focus of our study and the aim was to identify the candidate isoform involved in biosynthesis of piperine. Reference genome-based analysis of black pepper identified six BAHD-AT isoforms and mapping of these sequences revealed that the isoforms were situated on six distinct chromosomes. By using specific primers for each of these transcripts, qPCR analysis was done in different tissues as well as berry stages to obtain detectable amplification products. Expression profiles of isoforms from chromosome 6 correlated well with piperine content compared to other five isoforms, across tissues and was therefore assumed to be involved in biosynthesis of piperine. In addition to this, we could also identify the binding sites of MYB transcription factor in the cis-regulatory regions of the isoforms. We also used in-silico docking and molecular dynamics simulation to calculate the binding free energy of the ligand and confirmed that among all the isoforms, BAHD-AT from chromosome 6 had the lowest free binding energy and highest affinity towards the ligand. Our findings are expected to aid the identification of new genes connecting enzymes involved in the biosynthetic pathway of piperine, which will have major implications for future research in metabolic engineering. Communicated by Ramaswamy H. Sarma

A Standardized Set of MoClo-Compatible Inducible Promoter Systems for Tunable Gene Expression in Yeast.

Small-molecule control of gene expression underlies the function of numerous engineered gene circuits that are capable of environmental sensing, computation, and memory. While many recently developed inducible promoters have been tailor-made for bacteria or mammalian cells, relatively few new systems have been built for Saccharomyces cerevisiae, limiting the scale of synthetic biology work that can be done in yeast. To address this, we created the yeast Tunable Expression Systems Toolkit (yTEST), which contains a set of five extensively characterized inducible promoter systems regulated by the small-molecules doxycycline (Dox), abscisic acid (ABA), danoprevir (DNV), 1-naphthaleneacetic acid (NAA), and 5-phenyl-indole-3-acetic acid (5-Ph-IAA). Assembly was made to be compatible with the modular cloning yeast toolkit (MoClo-YTK) to enhance the ease of use and provide a framework to benchmark and standardize each system. Using this approach, we built multiple systems with maximal expression levels greater than those of the strong constitutive TDH3 promoter. Furthermore, each of the five classes of systems could be induced at least 60-fold after a 6 h induction and the highest fold change observed was approximately 300. Thus, yTEST provides a reliable, diverse, and customizable set of inducible promoters to modulate gene expression in yeast for applications in synthetic biology, metabolic engineering, and basic research.

Diosgenin biosynthesis investigation in medicinal herb (Tribulus terrestris) by transcriptome analysis

Next-generation sequencing (NGS) has revolutionized the analysis of specific genes, pathways, and their regulation in various species. Tribulus terrestris L., an annual medicinal herb of Zygophyllaceae family, has gained significant attention due to its diverse medicinal properties, including anti-inflammatory, antimicrobial, and anti-cancer effects. Diosgenin, a steroidal saponin, is the major bioactive compound responsible for the medicinal importance of T. terrestris. However, there is a paucity of information regarding the genes involved in the diosgenin biosynthetic pathway in T. terrestris. To address this gap, this study aimed to identify candidate genes associated with diosgenin biosynthesis through whole transcriptome profiling. A total of ∼7.9 GB of data, comprising 482 million reads, was obtained and assembled into 148,871 unigenes. Subsequently, functional annotations were assigned to 50 % of the unigenes using sequence similarity searches against the NCBI non-redundant (NR), Uniprot, KEGG, Pfam, GO, and COG databases, primarily based on Gene Ontology and KEGG-KAAS pathways. The majority of unigenes associated with the biosynthesis of the steroidal diosgenin backbone exhibited up-regulation in the fruit, leaf, and root tissues, except the SQE gene in root. The differential expression of selected genes was further validated through quantitative real-time polymerase chain reaction (qRT-PCR). Additionally, the study identified 21,026 unigenes related to transcription factors and 15,551 unigenes containing simple sequence repeats (SSR). Notably, di-nucleotide SSR motifs exhibited a high repeat frequency. These findings greatly enhance our understanding of the diosgenin biosynthesis pathway and provide a basis for future research in molecular investigation and metabolic engineering, specifically for boosting diosgenin content.

System network analysis of Rosmarinus officinalis transcriptome and metabolome-Key genes in biosynthesis of secondary metabolites.

Medicinal plants contain valuable compounds that have attracted worldwide interest for their use in the production of natural drugs. The presence of compounds such as rosmarinic acid, carnosic acid, and carnosol in Rosmarinus officinalis has made it a plant with unique therapeutic effects. The identification and regulation of the biosynthetic pathways and genes will enable the large-scale production of these compounds. Hence, we studied the correlation between the genes involved in biosynthesis of the secondary metabolites in R. officinalis using proteomics and metabolomics data by WGCNA. We identified three modules as having the highest potential for the metabolite engineering. Moreover, the hub genes highly connected to particular modules, TFs, PKs, and transporters were identified. The TFs of MYB, C3H, HB, and C2H2 were the most likely candidates associated with the target metabolic pathways. The results indicated that the hub genes including Copalyl diphosphate synthase (CDS), Phenylalanine ammonia lyase (PAL), Cineole synthase (CIN), Rosmarinic acid synthase (RAS), Tyrosine aminotransferase (TAT), Cinnamate 4-hydroxylase (C4H), and MYB58 are responsible for biosynthesis of important secondary metabolites. Thus, we confirmed these results using qRT-PCR after treating R. officinalis seedlings with methyl jasmonate. These candidate genes may be employed for genetic and metabolic engineering research to increase R. officinalis metabolite production.

A New EBS2b-IBS2b Base Paring (A-8/T-8) Improved the Gene-Targeting Efficiency of Thermotargetron in Escherichia coli.

Thermophilic group II intron is one type of retrotransposon composed of intron RNA and intron-encoded protein (IEP), which can be utilized in gene targeting by harnessing their novel ribozyme-based DNA integration mechanism termed "retrohoming." It is mediated by a ribonucleoprotein (RNP) complex that contains the excised intron lariat RNA and an IEP with reverse transcriptase (RT) activity. The RNP recognizes targeting sites by exon-binding sequences 2 (EBS2)/intron-binding sequences 2 (IBS2), EBS1/IBS1, and EBS3/IBS3 bases pairing. Previously, we developed the TeI3c/4c intron as a thermophilic gene targeting system-Thermotargetron (TMT). However, we found that the targeting efficiency of TMT varies significantly at different targeting sites, which leads to a relatively low success rate. To further improve the success rate and gene-targeting efficiency of TMT, we constructed a Random Gene-targeting Plasmids Pool (RGPP) to analyze the sequence recognition preference of TMT. A new base pairing, located at the -8 site between EBS2/IBS2 and EBS1/IBS1 (named EBS2b-IBS2b), increased the success rate (2.45- to 5.07-fold) and significantly improved gene-targeting efficiency of TMT. A computer algorithm (TMT 1.0), based on the newly discovered sequence recognition roles, was also developed to facilitate the design of TMT gene-targeting primers. The present work could essentially expand the practicalities of TMT in the genome engineering of heat-tolerance mesophilic and thermophilic bacteria. IMPORTANCE The randomized base pairing in the interval of IBS2 and IBS1 of Tel3c/4c intron (-8 and -7 sites) in Thermotargetron (TMT) results in a low success rate and gene-targeting efficiency in bacteria. In the present work, we constructed a randomized gene-targeting plasmids pool (RGPP) to study whether there is a base preference in target sequences. Among all the successful "retrohoming" targets, we found that a new EBS2b-IBS2b base paring (A-8/T-8) significantly increased TMT's gene-targeting efficiency, and the concept is also applicable to other gene targets in redesigned gene-targeting plasmids pool in E. coli. The improved TMT is a promising tool for the genetic engineering of bacteria and could promote metabolic engineering and synthetic biology research in valuable microbes that recalcitrance for genetic manipulation.

An Efficient CRISPR/Cas12e System for Genome Editing in Sinorhizobium meliloti.

CRISPR/Cas systems have been widely used in the precise and traceless genetic engineering of bacteria. Sinorhizobium meliloti 320 (SM320) is a Gram-negative bacterium with a low efficiency of homologous recombination but a strong ability to produce vitamin B12. Here, a CRISPR/Cas12e-based genome engineering toolkit, CRISPR/Cas12eGET, was constructed in SM320. The expression level of CRISPR/Cas12e was tuned through promoter optimization and the use of a low copy plasmid to adjust Cas12e cutting activity to the low homologous recombination efficiency of SM320, resulting in improved transformation and precision editing efficiencies. Furthermore, the accuracy of CRISPR/Cas12eGET was improved by deleting the ku gene involved in NHEJ repair in SM320. This advance will be useful for metabolic engineering and basic research on SM320, and it further provides a platform to develop the CRISPR/Cas system in strains where the efficiency of homologous recombination is low.

Current Metabolic Engineering Strategies for Photosynthetic Bioproduction in Cyanobacteria.

Cyanobacteria are photosynthetic microorganisms capable of using solar energy to convert CO2 and H2O into O2 and energy-rich organic compounds, thus enabling sustainable production of a wide range of bio-products. More and more strains of cyanobacteria are identified that show great promise as cell platforms for the generation of bioproducts. However, strain development is still required to optimize their biosynthesis and increase titers for industrial applications. This review describes the most well-known, newest and most promising strains available to the community and gives an overview of current cyanobacterial biotechnology and the latest innovative strategies used for engineering cyanobacteria. We summarize advanced synthetic biology tools for modulating gene expression and their use in metabolic pathway engineering to increase the production of value-added compounds, such as terpenoids, fatty acids and sugars, to provide a go-to source for scientists starting research in cyanobacterial metabolic engineering.

Investigating ethanol production using the Zymomonas mobilis crude extract

Cell-free systems have become valuable investigating tools for metabolic engineering research due to their easy access to metabolism without the interference of the membrane. Therefore, we applied Zymomonas mobilis cell-free system to investigate whether ethanol production is controlled by the genes of the metabolic pathway or is limited by cofactors. Initially, different glucose concentrations were added to the extract to determine the crude extract's capability to produce ethanol. Then, we investigated the genes of the metabolic pathway to find the limiting step in the ethanol production pathway. Next, to identify the bottleneck gene, a systemic approach was applied based on the integration of gene expression data on a cell-free metabolic model. ZMO1696 was determined as the bottleneck gene and an activator for its enzyme was added to the extract to experimentally assess its effect on ethanol production. Then the effect of NAD+ addition at the high concentration of glucose (1 M) was evaluated, which indicates no improvement in efficiency. Finally, the imbalance ratio of ADP/ATP was found as the controlling factor by measuring ATP levels in the extract. Furthermore, sodium gluconate as a carbon source was utilized to investigate the expansion of substrate consumption by the extract. 100% of the maximum theoretical yield was obtained at 0.01 M of sodium gluconate while it cannot be consumed by Z. mobilis. This research demonstrated the challenges and advantages of using Z. mobilis crude extract for overproduction.

Evolutionary engineering of Fusarium fujikuroi for enhanced production of gibberellic acid

Fusarium fujikuroi is the microorganism that used for industrial production of gibberellic acids (GAs), a commercially very important plant hormone. A stable, high-yielding F. fujikuroi strain is essential for efficient bio-production. Although, there is a quick development in molecular tools and metabolic engineering research for this microbe in the past decade, the current industrially applying strains are mostly obtained from numerous rounds of mutagenesis and screening, while the industry is still dedicating in strain improvement work based mostly on this method. However, after over half a century’s effort, the yield is still maintained at a low level today. We designed an efficient strategy for strain improvement by amphotericin B resistance prescreening and evolutionary engineering. A superior strain was obtained with over 25% increased yield after testing merely 640 isolates. The superior strain was later confirmed to be genetically very stable for GA production. Minimum inhibitory concentration (MIC) assay verified its increased resistance to amphotericin B, whose target ergosterol shares a same precursor with GAs. Decreased ergosterol accumulation indicated the increased GA3 synthesis accompanied with attenuation of metabolic branch flux. In the end, we found the increased GA3 titer of the superior strain also accompanied with faster growing biomass.

Application of GeneCloudOmics: Transcriptomic Data Analytics for Synthetic Biology.

Research in synthetic biology and metabolic engineering require a deep understanding on the function and regulation of complex pathway genes. This can be achieved through gene expression profiling which quantifies the transcriptome-wide expression under any condition, such as a cell development stage, mutant, disease, or treatment with a drug. The expression profiling is usually done using high-throughput techniques such as RNA sequencing (RNA-Seq) or microarray. Although both methods are based on different technical approaches, they provide quantitative measures of the expression levels of thousands of genes. The expression levels of the genes are compared under different conditions to identify the differentially expressed genes (DEGs), the genes with different expression levels under different conditions. DEGs, usually involving thousands in number, are then investigated using bioinformatics and data analytic tools to infer and compare their functional roles between conditions. Dealing with such large datasets, therefore, requires intensive data processing and analyses to ensure its quality and produce results that are statistically sound. Thus, there is a need for deep statistical and bioinformatics knowledge to deal with high-throughput gene expression data. This represents a barrier for wet biologists with limited computational, programming, and data analytic skills that prevent them from getting the full potential of the data. In this chapter, we present a step-by-step protocol to perform transcriptome analysis using GeneCloudOmics, a cloud-based web server that provides an end-to-end platform for high-throughput gene expression analysis.

Segmented MS/MS acquisition of a1 ion-based strategy for in-depth proteome quantitation

In-depth proteome quantitation is of great significance for understanding protein functions, advancing biological, medical, environmental and metabolic engineering research. Herein, benefiting from the high formation efficiencies and intensities of dimethyl-labeled a1 ions for accurate quantitation, we developed an in-depth a1 ion-based proteome quantitation method, named deep-APQ, by a sequential MS/MS acquisition of the high mass range for identification and the low mass range for a1 ion intensity extraction to increase quantitative protein number and sequence coverage. By the analysis of HeLa protein digests, our developed method showed deeper quantitative coverage than our previously reported a1 ion-based quantitation method without mass range segmentation and lower missing values than widely-used label-free quantitation method. It also exhibited excellent accuracy and precision within a 20-fold dynamic range. We further integrated a workflow combining the deep-APQ method with highly efficient sample preparation, high-pH and low-pH reversed-phase separation and high-field asymmetric waveform ion mobility spectrometry (FAIMS) to study E. coli proteome responses under the nutritional conditions of glucose and acetate. A total of 3447 proteins were quantified, representing 82% of protein-coding genes, with the average sequence coverage up to 40%, demonstrating the high coverage of quantitation results. We found that most of the quantified proteins related to chemotaxis were differentially expressed, including the low-abundance proteins such as tap, trg, aer, cheA and cheB, indicating that chemotaxis would play an important role for E. coli cell to survive from acetate toxicity. The above results demonstrated that the deep-APQ method is of great promising to achieve the deep-coverage proteome quantitation with high confidence.

Visualization of a Limonene Synthesis Metabolon Inside Living Bacteria by Hyperspectral SRS Microscopy.

Monitoring biosynthesis activity at single-cell level is key to metabolic engineering but is still difficult to achieve in a label-free manner. Using hyperspectral stimulated Raman scattering imaging in the 670-900cm-1 region, localized limonene synthesis are visualized inside engineered Escherichia coli. The colocalization of limonene and GFP-fused limonene synthase is confirmed by co-registered stimulated Raman scattering and two-photon fluorescence images. The finding suggests a limonene synthesis metabolon with a polar distribution inside the cells. This finding expands the knowledge of de novo limonene biosynthesis in engineered bacteria and highlights the potential of SRS chemical imaging in metabolic engineering research.

Bioengineering for the industrial production of 2,3-butanediol by the yeast, Saccharomyces cerevisiae.

Owing to issues, such as the depletion of petroleum resources and price instability, the development of biorefinery related technologies that produce fuels, electric power, chemical substances, among others, from renewable resources is being actively promoted. 2,3-Butanediol (2,3-BDO) is a key compound that can be used to produce various chemical substances. In recent years, 2,3-BDO production using biological processes has attracted extensive attention for achieving a sustainable society through the production of useful compounds from renewable resources. With the development of genetic engineering, metabolic engineering, synthetic biology, and other research field, studies on 2,3-BDO production by the yeast, Saccharomyces cerevisiae, which is safe and can be fabricated using an established industrial-scale cultivation technology, have been actively conducted. In this review, we sought to describe 2,3-BDO and its derivatives; discuss 2,3-BDO production by microorganisms, in particular S. cerevisiae, whose research and development has made remarkable progress; describe a method for separating and recovering 2,3-BDO from a microbial culture medium; and propose future prospects for the industrial production of 2,3-BDO by microorganisms.

Teaching cellular metabolism using metabolic model simulations

Teaching biology contents to chemical engineers is usually a challenging task, as it generally does not fit well to the quantitative approach with which engineering students are familiar. Here, we show that quantitative aspects of cellular metabolism can be explored using simulation tools, contributing to the engagement of students regarding this topic. Using OptFlux, an open-source software tool developed for metabolic engineering research, the students simulated the behavior of Escherichia coli and Saccharomyces cerevisiae cells under different environmental conditions. Exploring the user-friendly features of OptFlux, we present a set of four simulation tasks where the students are encouraged to discuss fundamental metabolic pathways such as glycolysis and the TCA cycle, the effect of genetic modifications on carbon flux redistribution through the metabolic network, and other important aspects of cell metabolism. The responses of the students to a questionnaire regarding the suitability of using OptFlux as an educational tool showed that their overall opinion was highly positive. Most students had no difficulties using the software and believed that the proposed exercises using OptFlux constituted a good strategy for teaching and reviewing cell metabolism concepts. Given these results, we believe that this alternative approach is a useful methodology for engaging students and facilitating the teaching of cellular metabolism to chemical engineers.

Global Comparative Label-Free Yeast Proteome Analysis by LC-MS/MS After High-pH Reversed-Phase Peptide Fractionation Using Solid-Phase Extraction Cartridges.

Discovery-driven comparative proteomics employing the bottom-up strategy with label-free quantification on high-resolution mass analyzers like an Orbitrap in a hybrid instrument has the capacity to reveal unique biological processes in the context of plant metabolic engineering. However, proteins are very heterogeneous in nature with a wide range of expression levels, and overall coverage may be suboptimal regarding both the number of protein identifications and sequence coverage of the identified proteins using conventional data-dependent acquisitions without sample fractionation before online nanoflow liquid chromatography-mass spectrometry (LC-MS) and tandem mass spectrometry (MS/MS). In this chapter, we detail a simple and robust method employing high-pH reversed-phase (HRP) peptide fractionation using solid-phase extraction cartridges for label-free proteomic analyses. Albeit HRP fractionation separates peptides according to their hydrophobicity like the subsequent nanoflow gradient reversed-phased LC relying on low pH mobile phase, the two methods are orthogonal. Presented here as a protocol with yeast (Saccharomyces cerevisiae) as a frequently used model organism and hydrogen peroxide to exert cellular stress and survey its impact compared to unstressed control as an example, the described workflow can be adapted to a wide range of proteome samples for applications to plant metabolic engineering research.