Jingliang Xu

Prof. Dr. Jingliang Xu

School of Chemical Engineering, Zhengzhou University, Henan, China

Research Focus & Metrics

Academic Career Length

18Years (2009-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 September 2020 in Metabolic Engineering
Verified
Journal Article
Open access
YLYongkun Lv
Yongkun Lv
YGYang Gu
Yang Gu
JXJingliang Xu
Jingliang Xu
JZJingwen Zhou
Jingwen Zhou
PXPeng Xu
Peng Xu
Metabolic addiction, an organism that is metabolically addicted with a compound to maintain its growth fitness, is an underexplored area in metabolic engineering. Microbes with heavily engineered pathways or genetic circuits tend to experience metabolic burden leading to degenerated or abortive production phenotype during long-term cultivation or scale-up. A promising solution to combat metabolic instability is to tie up the end-product with an intermediary metabolite that is essential to the growth of the producing host. Here we present a simple strategy to improve both metabolic stability and pathway yield by coupling chemical addiction with negative autoregulatory genetic circuits. Naringenin and lipids compete for the same precursor malonyl-CoA with inversed pathway yield in oleaginous yeast. Negative autoregulation of the lipogenic pathways, enabled by CRISPRi and fatty acid-inducible promoters, repartitions malonyl-CoA to favor flavonoid synthesis and increased naringenin production by 74.8%. With flavonoid-sensing transcriptional activator FdeR and yeast hybrid promoters to control leucine synthesis and cell grwoth fitness, this amino acid feedforward metabolic circuit confers a flavonoid addiction phenotype that selectively enrich the naringenin-producing pupulation in the leucine auxotrophic yeast. The engineered yeast persisted 90.9% of naringenin titer up to 324 generations. Cells without flavonoid addiction regained growth fitness but lost 94.5% of the naringenin titer after cell passage beyond 300 generations. Metabolic addiction and negative autoregulation may be generalized as basic tools to eliminate metabolic heterogeneity, improve strain stability and pathway yield in long-term and large-scale bioproduction.

1 November 2019 in Bioresource Technology
Verified
Journal Article
Closed access
CXChao Xu
Chao Xu
JZJun Zhang
Jun Zhang
YZYu Zhang
Yu Zhang
YGYing Guo
Ying Guo
HXHuijuan Xu
Huijuan Xu
ZWZhongming Wang
Zhongming Wang

4 November 2024 in Waste
Verified
Journal Article
Open access
PDF file
Jinmeng ChenJinmeng Chen
Jinmeng Chen
XMXiaotian Ma
Xiaotian Ma
MLMengying Liang
Mengying Liang
ZGZhiwei Guo
Zhiwei Guo
Yafan CaiYafan Cai
Yafan Cai
SHShuo Han
Shuo Han
Lignocellulosic biomass, including agricultural, forestry, and energy crop waste, is one of Earth’s most abundant renewable resources, accounting for approximately 50% of global renewable resources. It contains cellulose, hemicellulose, and lignin, making it crucial for biofuels and bio-based chemicals. Due to its complex structure, single-pretreatment methods are inefficient, leading to the development of combined pretreatment technologies. These methods enhance cellulose accessibility and conversion efficiency. This paper analyzes the principles, advantages, and disadvantages of various combined pretreatment methods and their practical benefits. It highlights recent research achievements and applications in biofuel, biochemical production, and feed. By integrating multiple pretreatment methods, biomass degradation efficiency can be significantly improved, energy consumption reduced, and chemical reagent use minimized. Future advancements in combined physical, chemical, and biological pretreatment technologies will further enhance biomass utilization efficiency, reduce energy consumption, and protect the environment, providing robust support for sustainable renewable energy development and ecological protection.

1 December 2021 in Biotechnology Advances
Verified
Journal Article
Closed access
AZAnqi Zhao
Anqi Zhao
XZXiaoqin Zhang
Xiaoqin Zhang
YLYamei Li
Yamei Li
ZWZhi Wang
Zhi Wang
YLYongkun Lv
Yongkun Lv
JXJingliang Xu
Jingliang Xu

8 April 2021 in Molecules
Verified
Journal Article
Open access
PDF file
Md. Asraful AlamMd. Asraful Alam
Md. Asraful Alam
VSVictor Roberto Parra Sanchez
Victor Roberto Parra Sanchez
MQM Qammar
M Qammar
CAChowdhury Alfi Afroze
Chowdhury Alfi Afroze
Md Nasir AhmedMd Nasir Ahmed
Md Nasir Ahmed
JXJingliang Xu
Jingliang Xu
The recently emerged COVID-19 disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has adversely affected the whole world. As a significant public health threat, it has spread worldwide. Scientists and global health experts are collaborating to find and execute speedy diagnostics, robust and highly effective vaccines, and therapeutic techniques to tackle COVID-19. The ocean is an immense source of biologically active molecules and/or compounds with antiviral-associated biopharmaceutical and immunostimulatory attributes. Some specific algae-derived molecules can be used to produce antibodies and vaccines to treat the COVID-19 disease. Algae have successfully synthesized several metabolites as natural defense compounds that enable them to survive under extreme environments. Several algae-derived bioactive molecules and/or compounds can be used against many diseases, including microbial and viral infections. Moreover, some algae species can also improve immunity and suppress human viral activity. Therefore, they may be recommended for use as a preventive remedy against COVID-19. Considering the above critiques and unique attributes, herein, we aimed to systematically assess algae-derived, biologically active molecules that could be used against this disease by looking at their natural sources, mechanisms of action, and prior pharmacological uses. This review also serves as a starting point for this research area to accelerate the establishment of anti-SARS-CoV-2 bioproducts.

1 March 2020 in International Journal of Biological Macromolecules
Verified
Journal Article
Closed access
CXChao Xu
Chao Xu
FLFen Liu
Fen Liu
Md. Asraful AlamMd. Asraful Alam
Md. Asraful Alam
HCHuanjun Chen
Huanjun Chen
YZYu Zhang
Yu Zhang
ZWZhongming Wang
Zhongming Wang