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Effect of physiological heterogeneity of E.coli population on antibiotic susceptivity test
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作者 LIU YuQing ZHANG HuaiQiang +1 位作者 SHEN JianZhong GAO PeiJi 《Science China(Life Sciences)》 SCIE CAS 2007年第6期808-813,共6页
According to the instantaneous growth rate(dN/dt)of E.coli CVCC249 growing in batch culture,the entire growth progress was distinguished into four phases:accelerating growth phase,constant growth phase,decelerating gr... According to the instantaneous growth rate(dN/dt)of E.coli CVCC249 growing in batch culture,the entire growth progress was distinguished into four phases:accelerating growth phase,constant growth phase,decelerating growth phase;declining phase,in each of which obvious variation in physiological;biochemical properties was detected,including total DNA,total protein,;MTT-dehydrogenase activity,etc.,that led to difference in their antibiotic susceptivity.Antibiotic susceptivity of the population sampled from each phase was tested by Concentration-killing Curve(CKC)approach following the formula N=N 0/{1+exp[r·(x-BC 50)]},showing as normal distribution at the individual cell level for an internal population,in which the median bactericidal concentration BC 50 represents the mean level of susceptivity,while the bactericidal span BC 199=(2lnN 0)/r indicates the variation degree of the antibiotic susceptivity.Furthermore,tested by CKC approach,the antibiotic susceptivity of E.coli CVCC249 population in each physiological phase to gentamicin or enoxacin was various:susceptivity of the population in the constant growth phase;declining phase all increased compared with that in the accelerating growth phase for gentamicin but declined for enoxacin.The primary investigations revealed that the physiological phase should be taken into account in the context of antibiotic susceptivity;research into antimicrobial mechanism.However there are few reports concerned with this study.Further research using different kinds of antibiotics with synchronized continuous culture of different bacterial strains is required. 展开更多
关键词 instantaneous growth rate batch culture physiological heterogeneity concentrationkilling curve antibiotic susceptivity test
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Optimized upstream analytical workflow for singlenucleus transcriptomics in main metabolic tissues
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作者 Pengwei Dong Shitong Ding Guanlin Wang 《Life Metabolism》 2025年第3期73-77,共5页
Metabolic homeostasis is regulated by a network of organs and tissues,primarily involving adipose tissue,muscle,liver,and the hypothalamus,which act as central metabolic regulators.Cellular dysregulation within these ... Metabolic homeostasis is regulated by a network of organs and tissues,primarily involving adipose tissue,muscle,liver,and the hypothalamus,which act as central metabolic regulators.Cellular dysregulation within these tissues substantially associates with metabolic disorders,including obesity,type 2 diabetes,and non-alcoholic fatty liver disease(NAFLD)[1].Understanding the molecular mechanisms governing metabolic control requires dedicated analysis of physiological and pathological cellular heterogeneity within these tissues.However,investigations at the single cell level to decipher the complexities of cellular mechanisms remain challenging due to the fragile nature of certain cell types and technical noise within these metabolically active tissues,resulting in limited studies compared to well-characterized atlases in immune cell populations[2]. 展开更多
关键词 analysis physiological pathological cellular heterogeneity metabolic tissues metabolic homeostasis metabolic disordersincluding adipose tissue adipose tissuemuscleliverand single nucleus transcriptomics molecular mechanisms governing metabolic control
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