Browsing by Author "Wang, Jian"

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    Choline-betaine pathway contributes to hyperosmotic stress and subsequent lethal stress resistance in Pseudomonas protegens SN15-2
    (Indian Academy of Sciences, 2020-06) Tang, Danyan; Wang, Xiaobing; Wang, Jian; Wang, Mengfe; Wang, Yaping; Wang, Wei
    Pseudomonas protegens SN15-2, a typical non-spore-forming rhizosphere bacterium, has excellent biocontrolcapabilities; thus, it is necessary to explore the stress resistance of SN15-2. The choline–glycine betainepathway is considered as an important mechanism by which bacteria adapt to stressful environments. In thiswork, we demonstrated that the expression of the betA and betB genes, which are involved in the choline–glycine betaine pathway in SN15-2, was highly increased by 12-fold and 26-fold, respectively, by hyperosmotic stress and choline treatment. The accumulation of betaine in SN15-2 (5.54 g/L) was significantly higherthan that in the mutants D betA (3.44 g/L) and D betB (2.68 g/L) under hyperosmotic stress and cholinetreatment. Moreover, choline enhanced the growth of SN15-2 greatly, but it did not enhance the growth of DbetB under hyperosmotic stress. Choline combined with hyperosmotic adaptation significantly increased thelethal stress resistance of SN15-2 while the resistance of D betA and D betB was significantly decreased. Thisresearch illuminated a strategy underlying the adaptation to osmotic stress in P. protegens and provided aneffective method to improve the stress resistance of this species, thus provided a theoretical basis for thepractical application of P. protegens SN15-2.
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    Nestin is significantly associated with the overall survival of nonsmall cell lung cancer: A meta-analysis
    (Wolters Kluwer India Pvt. Ltd., 2020-09) Zhang, Dehai; Wang, Jian
    Aims: Some studies investigated the association between nestin and the overall survival (OS) of nonsmall cell lung cancer (NSCLC). However, the results were conflicted and inconclusive. Therefore, we performed this meta-analysis to determine the association between nestin and OS of NSCLC. Materials and Methods: PubMed and EMBASE were searched to find relevant studies. The strength of the association was calculated with the hazard ratios (HRs) and respective 95% confidence intervals (CIs). Results: High expression of nestin was significantly associated with OS of NSCLC (HR = 2.09; 95% CI = 1.59–2.77). In the stratified analysis by race, we found that the expression of nestin was significantly associated with OS of NSCLC in Asians (HR = 3.02; 95% CI = 1.80–5.07) and Caucasians (HR = 1.81; 95% CI = 1.21–2.71). In addition, when we limited the meta-analysis to studies that controlled for clinical parameters, a significant association between nestin and OS of NSCLC remained (HR = 2.19; 95% CI = 1.54–3.11). A sensitivity analysis showed no substantial modification of the estimates after exclusion of individual studies. Conclusions: In conclusion, this meta-analysis suggested that high expression of nestin was significantly associated with OS of NSCLC.
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    Proteomic changes in response to lipin1 overexpression in 293T human renal epithelial cells
    (NISCAIR-CSIR, India, 2019-12) Wang, Jian; Xiaoguang, Lv; Sun, Jing; Peng, Min; Shi, Ping
    Lipin1, a member of the lipin family, serves as a phospholipid phosphatase or a co-transcriptional regulator in lipid metabolism. Recent studies also show that lipin1 is involved in many other cellular metabolism processes. However, the clear regulatory mechanism for lipin1 is unknown. The 293T human renal epithelial cell line represents a commonly used and well established expression system for recombinant proteins. Herein, we used two-dimensional polyacrylamide gel electrophoresis (2D-GE) and matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF-MS) to explore the changes in protein expression induced by lipin1 overexpression in 293T cells. Western blotting was used to confirm one of the expression changes of related proteins. Subsequently, the function and relationship of these proteins were analyzed by bioinformatics approach. By using 2D-PAGE, approximately 152 proteins were separated and eleven proteins were found to be significantly affected by lipin1 overexpression compared to the control. Among them, three proteins (eEF-1B γ, CCT1 and CCT3) were up-regulated and other eight proteins (NDKA, Stathmin, HNRNP A1, TK, KRT1, PKM, RanBP1 and LDHB) were down-regulated. These proteins were successfully identified with peptide mass fingerprinting using MALDI-TOF-MS after in-gel trypsin digestion. The bioinformatic analysis showed that these proteins are classified into seven protein species, including transferase, cleavage enzyme, cytoskeleton protein, chaperone protein, regulatory protein, structural protein and oxidoreductase. The results highlight the potential roles of lipin1 involved in many cellular metabolism processes, including myelin synthesis, extracellular domain formation, membrane bound vesicle synthesis and companion protein T complex synthesis.