Lingfeng Zhu's research while affiliated with Forschungszentrum Jülich and other places

What is this page?


This page lists the scientific contributions of an author, who either does not have a ResearchGate profile, or has not yet added these contributions to their profile.

It was automatically created by ResearchGate to create a record of this author's body of work. We create such pages to advance our goal of creating and maintaining the most comprehensive scientific repository possible. In doing so, we process publicly available (personal) data relating to the author as a member of the scientific community.

If you're a ResearchGate member, you can follow this page to keep up with this author's work.

If you are this author, and you don't want us to display this page anymore, please let us know.

Publications (2)


Processing workflow applied to Agilent, Operon and PCR product-based microarrays. Boxes in blue represent the performed steps, boxes in light blue show the programs that were used, and the boxes in orange contain the quality checking procedures that were applied during the respective steps.
DNA microarray re-evaluation pipeline. Overall, 1,146 experiments were re-evaluated during this study. After the re-evaluation and manual quality check, 927 high-quality experiments remained and were uploaded to GEO.
Overview about publication status and categorization of experiments. (a) Of the 927 experiments that are described in this publication, 256 had already been uploaded to GEO and/or are part of a publication in a peer-reviewed scientific journal. (b) Number of experiments in the six experimental categories (see section Re-evaluation and categorization of microarray experiments for further information) and publication status. Categories: (1) WT condition A vs. WT condition B. (2) Plasmid-based gene overexpression in parental strain vs. parental strain with empty vector control. (3) Deletion mutant vs. parental strain. (4) Gene silencing strain vs. parental strain. (5) Promoter exchange strain vs. parental strain. (6) Producer strain vs. WT or other producer strain.
Number of sets with <100, 100–500, 500–1000, 1000–2000 and >2000 regulated genes (>2-fold up- and >2-fold-down-regulated, p-value ≤ 0.05) with respect to their categorization (see section Re-evaluation and categorization of microarray experiments for further information). Categories: (1) WT condition A vs. WT condition B. (2) Plasmid-based gene overexpression in parental strain vs. parental strain with empty vector control. (3) Deletion mutant vs. parental strain. (4) Gene silencing strain vs. parental strain. (5) Promoter exchange strain vs. parental strain. (6) Producer strain vs. WT or other producer strain.
Proportion of genes associated to the functional categories⁷⁶ that are ≥2-fold up-regulated (blue), ≥2-fold down-regulated (orange) or unchanged (grey) among the microarray sets described. The numbers at the right side indicate the genes allocated to the corresponding functional category.

+1

A manually curated compendium of expression profiles for the microbial cell factory Corynebacterium glutamicum
  • Article
  • Full-text available

October 2022

·

217 Reads

·

4 Citations

Scientific Data

·

Tino Polen

·

Christian Kotulla

·

[...]

·

Michael Bott

Corynebacterium glutamicum is the major host for the industrial production of amino acids and has become one of the best studied model organisms in microbial biotechnology. Rational strain construction has led to an improvement of producer strains and to a variety of novel producer strains with a broad substrate and product spectrum. A key factor for the success of these approaches is detailed knowledge of transcriptional regulation in C. glutamicum. Here, we present a large compendium of 927 manually curated microarray-based transcriptional profiles for wild-type and engineered strains detecting genome-wide expression changes of the 3,047 annotated genes in response to various environmental conditions or in response to genetic modifications. The replicates within the 927 experiments were combined to 304 microarray sets ordered into six categories that were used for differential gene expression analysis. Hierarchical clustering confirmed that no outliers were present in the sets. The compendium provides a valuable resource for future fundamental and applied research with C. glutamicum and contributes to a systemic understanding of this microbial cell factory.Measurement(s) Gene Expression Analysis Technology Type(s) Two Color Microarray Factor Type(s) WT condition A vs. WT condition B • Plasmid-based gene overexpression in parental strain vs. parental strain with empty vector control • Deletion mutant vs. parental strain Sample Characteristic - Organism Corynebacterium glutamicum Sample Characteristic - Environment laboratory environment Sample Characteristic - Location Germany

Download
Share

FIGURE 2 | M/A plot showing differential gene expression in C. glutamicum WT cells grown with GABA and urea compared to WT cells grown with glucose and urea. The data shown are based on four two-channel DNA microarray hybridizations starting with cDNA from four independent biological replicates. The dashed lines indicate a 2-fold altered mRNA ratio, the dotted lines a 10-fold altered mRNA ratio.
FIGURE 10 | Relevance of GabR for gabTDP transcription. C. glutamicum WT or the gabR mutant transformed with the reporter plasmid pJC1-P gabT -eYFP were precultivated in BHIS medium and washed with phosphate buffer before inoculation of the main cultures. The cultivations were performed in a BioLector microcultivation system at 30 • C and 1200 rpm using 750 µl CGXII minimal medium supplemented with GABA (62.5 mM), glucose (41.7 mM), (NH 4 ) 2 SO 4 (151 mM), and urea (83 mM) as indicated. (A,B) Growth and eYFP fluorescence representing the activity of the gabTDP promoter of C. glutamicum WT with pJC1-P gabT -eYFP. (C) Specific fluorescence (ratio fluorescence/backscatter) of the cultures shown in (A) and (B) after 40 h. (D,E) Growth and fluorescence C. glutamicum gabR harboring pJC1-P gabT -eYFP. Mean values and standard deviations of three biological replicates are shown.
Regulation of γ-Aminobutyrate (GABA) Utilization in Corynebacterium glutamicum by the PucR-Type Transcriptional Regulator GabR and by Alternative Nitrogen and Carbon Sources

October 2020

·

61 Reads

·

11 Citations

Frontiers in Microbiology

Frontiers in Microbiology

γ-Aminobutyric acid (GABA) is a non-proteinogenic amino acid mainly formed by decarboxylation of L-glutamate and is widespread in nature from microorganisms to plants and animals. In this study, we analyzed the regulation of GABA utilization by the Gram-positive soil bacterium Corynebacterium glutamicum, which serves as model organism of the phylum Actinobacteria. We show that GABA usage is subject to both specific and global regulatory mechanisms. Transcriptomics revealed that the gabTDP genes encoding GABA transaminase, succinate semialdehyde dehydrogenase, and GABA permease, respectively, were highly induced in GABA-grown cells compared to glucose-grown cells. Expression of the gabTDP genes was dependent on GABA and the PucR-type transcriptional regulator GabR, which is encoded divergently to gabT. A ΔgabR mutant failed to grow with GABA, but not with glucose. Growth of the mutant on GABA was restored by plasmid-based expression of gabR or of gabTDP, indicating that no further genes are specifically required for GABA utilization. Purified GabR (calculated mass 55.75 kDa) formed an octamer with an apparent mass of 420 kDa and bound to two inverted repeats in the gabR-gabT intergenic region. Glucose, gluconate, and myo-inositol caused reduced expression of gabTDP, presumably via the cAMP-dependent global regulator GlxR, for which a binding site is present downstream of the gabT transcriptional start site. C. glutamicum was able to grow with GABA as sole carbon and nitrogen source. Ammonium and, to a lesser extent, urea inhibited growth on GABA, whereas L-glutamine stimulated it. Possible mechanisms for these effects are discussed.

Citations (2)


... The Gram-positive, facultatively anaerobic, non-sporulating soil bacteria, C. glutamicum, has been a major producer of amino acids such as L-glutamate and L-leucine ever since its discovery in the late 1950s in Japan [25,26]. Due to its status as GRAS (generally regarded as safe) bacteria, C. glutamicum has been preferred for the largescale fermentation of valuable compounds such as hyaluronic acid, glutathione, and amino acids for the pharmaceutical, cosmetic, and food industries [27,28]. ...

Reference:

Biosynthesis of Apigenin Glucosides in Engineered Corynebacterium glutamicum
A manually curated compendium of expression profiles for the microbial cell factory Corynebacterium glutamicum

Scientific Data

... GABA is a ubiquitous non-proteinogenic amino acid that can be used by many bacteria as a carbon and nitrogen source (Zhu et al., 2020). GABA was shown to be a central signal molecule in all kingdoms of life. ...

Regulation of γ-Aminobutyrate (GABA) Utilization in Corynebacterium glutamicum by the PucR-Type Transcriptional Regulator GabR and by Alternative Nitrogen and Carbon Sources
Frontiers in Microbiology

Frontiers in Microbiology