Jianying Han

Dr. Jianying Han

Institute for Molecular Bioscience, The University of Queensland, Brisbane, Queensland, Australia
orcid

Research Focus & Metrics

Academic Career Length

13Years (2014-Present)

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

Representative Publications

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15 March 2016 in Applied Microbiology and Biotechnology
Verified
Journal Article
Closed access
PDF file
PHPei Huang
Pei Huang
FXFeng Xie
Feng Xie
BRBiao Ren
Biao Ren
QWQian Wang
Qian Wang
JWJian Wang
Jian Wang
LZLixin Zhang
Lixin Zhang

6 July 2021 in Natural Product Reports
Verified
Journal Article
Closed access
PDF file
Jianying HanJianying Han
Jianying Han
XLXueting Liu
Xueting Liu
LZLixin Zhang
Lixin Zhang
RQRonald J Quinn
Ronald J Quinn
YFYunjiang Feng
Yunjiang Feng
Covering: up to June, 2020 Tuberculosis (TB) continues to be a major disease with high mortality and morbidity globally. Drug resistance and long duration of treatment make antituberculosis drug discovery more challenging. In this review, we summarize recent advances on anti-TB natural products (NPs) and their potential molecular targets in cell wall synthesis, protein production, energy generation, nucleic acid synthesis and other emerging areas. We highlight compounds with activity against drug-resistant TB, and reveal several novel targets including Mtb biotin synthase, ATP synthase, 1,4-dihydroxy-2-naphthoate prenyltransferase and biofilms. These anti-TB NPs and their targets could facilitate target-based screening and accelerate TB drug discovery.

6 July 2020 in Marine Drugs
Verified
Journal Article
Open access
PDF file
Jianying HanJianying Han
Jianying Han
MLMiaomiao Liu
Miaomiao Liu
IJIan Jenkins
Ian Jenkins
XLXueting Liu
Xueting Liu
LZLixin Zhang
Lixin Zhang
YFYunjiang Feng
Yunjiang Feng
The marine-derived fungus Aspergillus fumigatus MF071, isolated from sediment collected from the Bohai Sea, China, yielded two new compounds 19S,20-epoxy-18-oxotryprostatin A (1) and 20-hydroxy-18-oxotryprostatin A (2), in addition to 28 known compounds (3–30). The chemical structures were established on the basis of 1D, 2D NMR and HRESIMS spectroscopic data. This is the first report on NMR data of monomethylsulochrin-4-sulphate (4) and pseurotin H (10) as naturally occurring compounds. Compounds 15, 16, 20, 23, and 30 displayed weak antibacterial activity (minimum inhibitory concentration: 100 μg/mL). Compounds 18 and 19 exhibited strong activity against S. aureus (minimum inhibitory concentration: 6.25 and 3.13 μg/mL, respectively) and E. coli (minimum inhibitory concentration: 6.25 and 3.13 μg/mL, respectively). A genomic data analysis revealed the putative biosynthetic gene clusters ftm for fumitremorgins, pso for pseurotins, fga for fumigaclavines, and hel for helvolinic acid. These putative biosynthetic gene clusters fundamentally underpinned the enzymatic and mechanistic function study for the biosynthesis of these compounds. The current study reported two new compounds and biosynthetic gene clusters of fumitremorgins, pseurotins, fumigaclavines and helvolinic acid from Aspergillus fumigatus MF071.

1 December 2017 in Synthetic and Systems Biotechnology
Verified
Journal Article
Open access
MLMiaomiao Liu
Miaomiao Liu
TGTanja Grkovic
Tanja Grkovic
XLXueting Liu
Xueting Liu
Jianying HanJianying Han
Jianying Han
LZLixin Zhang
Lixin Zhang
RQRonald J Quinn
Ronald J Quinn
The growing number of sequenced microbial genomes has revealed a remarkably large number of secondary metabolite biosynthetic clusters for which the compounds are still unknown. The aim of the present work was to apply a strategy to detect newly induced natural products by cultivating microorganisms in different fermentation conditions. The metabolomic analysis of 4160 fractions generated from 13 actinomycetes under 32 different culture conditions was carried out by 1H NMR spectroscopy and multivariate analysis. The principal component analysis (PCA) of the 1H NMR spectra showed a clear discrimination between those samples within PC1 and PC2. The fractions with induced metabolites that are only produced under specific growth conditions was identified by PCA analysis. This method allows an efficient differentiation within a large dataset with only one fractionation step. This work demonstrates the potential of NMR spectroscopy in combination with metabolomic data analysis for the screening of large sets of fractions.

19 April 2019 in Applied Microbiology and Biotechnology
Verified
Journal Article
Closed access
PDF file
Jianying HanJianying Han
Jianying Han
JZJingyu Zhang
Jingyu Zhang
ZSZhijun Song
Zhijun Song
MLMiaomiao Liu
Miaomiao Liu
JHJiansen Hu
Jiansen Hu
XLXueting Liu
Xueting Liu

26 March 2020 in Applied Microbiology and Biotechnology
Verified
Journal Article
Closed access
PDF file
Jianying HanJianying Han
Jianying Han
JZJingyu Zhang
Jingyu Zhang
ZSZhijun Song
Zhijun Song
GZGuoliang Zhu
Guoliang Zhu
MLMiaomiao Liu
Miaomiao Liu
YFYunjiang Feng
Yunjiang Feng