In this study, a seed origin discrimination model for Clinacanthus nutans was developed. First, 81 C. nutans samples from three seed origin locations were collected, and their Near-Infrared (NIR) spectra were obtained...In this study, a seed origin discrimination model for Clinacanthus nutans was developed. First, 81 C. nutans samples from three seed origin locations were collected, and their Near-Infrared (NIR) spectra were obtained. Next, Principal Component Analysis (PCA) was performed on the NIR spectra of the 81 C. nutans samples. Then, MSC (multiplicative scatter correction), SNV (standard normal variate), first derivative, and second derivative pre-treatments of the C. nutans spectra were performed and combined with the Support Vector Machine (SVM) algorithm for modelling and analysis. Among these methods, first-order derivative pre-treatment achieved the best SVM model effectiveness, with a training set accuracy of 93.44% (57/61) and a test set accuracy of 85.00% (17/20). In order to further improve the discrimination accuracy of the model, three optimization algorithms Grid Search (GS), Genetic Algorithm (GA), and Particle Swarm Optimization (PSO) were employed to identify the best c and g parameters for the SVM model. The results demonstrated that the PSO optimization algorithm yielded the best parameters of c = 0.8343, g = 57.8741, with corresponding model training set the accuracy of 96.36% (60/61) and test set the accuracy of 95.00% (20/21). Therefore, developing a seed origin classification model for C. nutans based on NIR spectroscopy combined with chemometrics is feasible and has the advantages of being simple, rapid, and green.展开更多
This study aimed to explore the application of surface-enhanced Raman scattering(SERS)in the rapid diagnosis of gastric cancer.The SERS spectra of 68 serum samples from gastric cancer patients and healthy volunteers w...This study aimed to explore the application of surface-enhanced Raman scattering(SERS)in the rapid diagnosis of gastric cancer.The SERS spectra of 68 serum samples from gastric cancer patients and healthy volunteers were acquired.The characteristic ratio method(CRM)and principal component analysis(PCA)were used to differentiate gastric cancer serum from normal serum.Compared with healthy volunteers,the serum SERS intensity of gastric cancer patients was relatively high at 722 cm^(-1),while it was relatively low at 588,644,861,1008,1235,1397,1445 and 1586 cm^(-1).These results indicated that the relative content of nucleic acids in the serum of gastric cancer patients rises while the relative content of amino acids and carbohydrates decreases.In PCA,the sensitivity and specificity of discriminating gastric cancer were 94.1%and 94.1%,respectively,with the accuracy of 94.1%.Based on the intensity ratios of four characteristic peaks at 722,861,1008 and 1397 cm^(-1),CRM presented the diagnostic sensitivity and specificity of 100%and 97.4%,respectively,and the accuracy of 98.5%.Therefore,the three peak intensity ratios of I_(722)/I_(861),I_(722)/I_(1008)and I_(722)/I_(1397)can be considered as biologicalfingerprint information for gastric cancer diagnosis and can rapidly and directly reflect the physiological and pathological changes associated with gastric cancer development.This study provides an important basis and standards for the early diagnosis of gastric cancer.展开更多
A distinguishing characteristic of normal and cancer cells is the difference in their nuclear chromatin content and distribution.This difference can be revealed by the transmission spectra of nuclei stained with a pH-...A distinguishing characteristic of normal and cancer cells is the difference in their nuclear chromatin content and distribution.This difference can be revealed by the transmission spectra of nuclei stained with a pH-sensitive stain.Here,we used hematoxylin-eosin(HE)to stain hepatic carcinoma tissues and obtained spectral-spatial data from their nuclei using hyper-spectral microscopy.The transmission spectra of the nuclei were then used to train a support vector machine(SVM)model for cell classification.Especially,we found that the chromatin distribution in cancer cells is more uniform,because of which the correlation coefficients for the spectra at different points in their nuclei are higher.Consequently,we exploited this feature to improve the SVM model.The sensitivity and specificity for the identification of cancer cells could be increased to 99%and 98%,respectively.We also designed an image-processing method for the extraction of information from cell nuclei to automate the identification process.展开更多
Increased rates of ribosome biogenesis have been recognized as hallmarks of many cancers and are associated with poor prognosis.Using a CRISPR synergistic activation mediator(SAM)system library targeting 89 ribosomal ...Increased rates of ribosome biogenesis have been recognized as hallmarks of many cancers and are associated with poor prognosis.Using a CRISPR synergistic activation mediator(SAM)system library targeting 89 ribosomal proteins(RPs)to screen for the most oncogenic functional RPs in human esophageal squamous cell carcinoma(ESCC),we found that high expression of RPS15 correlates with malignant phenotype and poor prognosis of ESCC.展开更多
Whereas it is appreciated that cancer cells rewire lipid metabolism to survive and propagate,the roles of lipid metabolism in metastasis remain largely unknown.In this study,using esophageal squamous cell carcinoma(ES...Whereas it is appreciated that cancer cells rewire lipid metabolism to survive and propagate,the roles of lipid metabolism in metastasis remain largely unknown.In this study,using esophageal squamous cell carcinoma(ESCC)as a pulmonary metastasis model,we find that the enzyme fatty acid 2-hydroxylase(FA2H),which catalyzes the hydroxylation of free fatty acids(FAs),is enriched in a subpopulation of ESCC cells with high metastatic potential,and that FA2H knockdown markedly mitigates metastatic lesions.Moreover,increased FA2H expression is positively associated with poor survival in patients with ESCC.Lipidomics analysis identifies that two dihydroceramides—Cer(d18:0/24:0)and Cer(d18:0/24:1)—are increased in FA2H-depleted metastasizing ESCC cells.Upon administration,Cer(d18:0/24:0)and Cer(d18:0/24:1)impair the formation of overt metastases in a mouse experimental metastasis model.Then,forkhead box protein C2(FOXC2)and FA2H are found to be co-upregulated in metastatic ESCC cell populations and ESCC specimens,and FA2H expression is further experimentally verified to be transcriptionally induced by FOXC2,which is boosted per se by tumour necrosis factorα(TNFα),a critical pro-metastasis cytokine in the tumour microenvironment,in metastasizing cells.Together,these results demonstrate that TNFα-FOXC2-FA2H is a novel signaling axis to promote metastasis,and its downstream dihydroceramide products could be promising drugs to intervene in metastasis.展开更多
Dear Editor,Chemoresistance is a major problem in the treatment of ovarian cancer patients and leads to poor prognosis,but its underlying mechanism remains elusive.Accumulating evidences have found that the aberrant r...Dear Editor,Chemoresistance is a major problem in the treatment of ovarian cancer patients and leads to poor prognosis,but its underlying mechanism remains elusive.Accumulating evidences have found that the aberrant regulation of the protein ubiquitination pathway plays an essential role in ovarian cancer chemoresistance.13 However,it is unclear whether and how deubiquitinase-USP11 involves in ovarian cancer chemoresistance.展开更多
Reduced levels of retinal dopamine,a key regulator of eye development,are associated with experimental myopia in various species,but are not seen in the myopic eyes of C57BL/6 mice,which are deficient in melatonin,a n...Reduced levels of retinal dopamine,a key regulator of eye development,are associated with experimental myopia in various species,but are not seen in the myopic eyes of C57BL/6 mice,which are deficient in melatonin,a neurohormone having extensive interactions with dopamine.Here,we examined the relationship between form-deprivation myopia(FDM)and retinal dopamine levels in melatonin-proficient CBA/CaJ mice.We found that these mice exhibited a myopic refractive shift in form-deprived eyes,which was accompanied by altered retinal dopamine levels.When melatonin receptors were pharmacologically blocked,FDM could still be induced,but its magnitude was reduced,and retinal dopamine levels were no longer altered in FDM animals,indicating that melatonin-related changes in retinal dopamine levels contribute to FDM.Thus,FDM is mediated by both dopamine level-independent and melatonin-related dopamine level-dependent mechanisms in CBA/CaJ mice.The previously reported unaltered retinal dopamine levels in myopic C57BL/6 mice may be attributed to melatonin deficiency.展开更多
文摘In this study, a seed origin discrimination model for Clinacanthus nutans was developed. First, 81 C. nutans samples from three seed origin locations were collected, and their Near-Infrared (NIR) spectra were obtained. Next, Principal Component Analysis (PCA) was performed on the NIR spectra of the 81 C. nutans samples. Then, MSC (multiplicative scatter correction), SNV (standard normal variate), first derivative, and second derivative pre-treatments of the C. nutans spectra were performed and combined with the Support Vector Machine (SVM) algorithm for modelling and analysis. Among these methods, first-order derivative pre-treatment achieved the best SVM model effectiveness, with a training set accuracy of 93.44% (57/61) and a test set accuracy of 85.00% (17/20). In order to further improve the discrimination accuracy of the model, three optimization algorithms Grid Search (GS), Genetic Algorithm (GA), and Particle Swarm Optimization (PSO) were employed to identify the best c and g parameters for the SVM model. The results demonstrated that the PSO optimization algorithm yielded the best parameters of c = 0.8343, g = 57.8741, with corresponding model training set the accuracy of 96.36% (60/61) and test set the accuracy of 95.00% (20/21). Therefore, developing a seed origin classification model for C. nutans based on NIR spectroscopy combined with chemometrics is feasible and has the advantages of being simple, rapid, and green.
基金This work was supported by the Natural Science Foundation of Guangdong Province,China(2018 A0303131000)the project of Academician workstation of Guangdong Province,China(2014B090905001)the Fundamental Research Funds for the Central Universities,China(21617406)and the key project of Scientific and Technological projects of Guang Zhou,China(201604040007,201604020168).
文摘This study aimed to explore the application of surface-enhanced Raman scattering(SERS)in the rapid diagnosis of gastric cancer.The SERS spectra of 68 serum samples from gastric cancer patients and healthy volunteers were acquired.The characteristic ratio method(CRM)and principal component analysis(PCA)were used to differentiate gastric cancer serum from normal serum.Compared with healthy volunteers,the serum SERS intensity of gastric cancer patients was relatively high at 722 cm^(-1),while it was relatively low at 588,644,861,1008,1235,1397,1445 and 1586 cm^(-1).These results indicated that the relative content of nucleic acids in the serum of gastric cancer patients rises while the relative content of amino acids and carbohydrates decreases.In PCA,the sensitivity and specificity of discriminating gastric cancer were 94.1%and 94.1%,respectively,with the accuracy of 94.1%.Based on the intensity ratios of four characteristic peaks at 722,861,1008 and 1397 cm^(-1),CRM presented the diagnostic sensitivity and specificity of 100%and 97.4%,respectively,and the accuracy of 98.5%.Therefore,the three peak intensity ratios of I_(722)/I_(861),I_(722)/I_(1008)and I_(722)/I_(1397)can be considered as biologicalfingerprint information for gastric cancer diagnosis and can rapidly and directly reflect the physiological and pathological changes associated with gastric cancer development.This study provides an important basis and standards for the early diagnosis of gastric cancer.
基金This paper was supported by the National Key Research and Development Program of China(2017YFB1104500)National Natural Science Foundation of China(61605062,61735005 and 11704155)+2 种基金Science and Technology Planning Project of Guangdong Province(2018B030323017)Research Project of Scientific Research Cultivation and Innovation Fund of Jinan University(11617329)Guangzhou Science and Technology Project(201903010042 and 201904010294).
文摘A distinguishing characteristic of normal and cancer cells is the difference in their nuclear chromatin content and distribution.This difference can be revealed by the transmission spectra of nuclei stained with a pH-sensitive stain.Here,we used hematoxylin-eosin(HE)to stain hepatic carcinoma tissues and obtained spectral-spatial data from their nuclei using hyper-spectral microscopy.The transmission spectra of the nuclei were then used to train a support vector machine(SVM)model for cell classification.Especially,we found that the chromatin distribution in cancer cells is more uniform,because of which the correlation coefficients for the spectra at different points in their nuclei are higher.Consequently,we exploited this feature to improve the SVM model.The sensitivity and specificity for the identification of cancer cells could be increased to 99%and 98%,respectively.We also designed an image-processing method for the extraction of information from cell nuclei to automate the identification process.
基金The authors are grateful to Dr.Zhi Lu(Tsinghua University,China)for kindly providing RNA-seq analysis and ribosome-seq analysis technique direction.The authors are grateful to Dr.Yutaka Shimada(Kyoto University,Japan)for the ESCC cell lines.The authors appreciate Cong Liu(Sinsage Technology Co.LTD)for providing the Livecyte single-cell tracking imaging analysis system.The authors thank Novogene Bioinformatics Technology Co.,Ltd.,Beijing,for assistance during the Ribosome-seq analysis.This work was supported by the National Natural Science Foundation of China(82188102,81903025,82273453 and 82030089)National Key R&D Program of China(2021YFC2501000 and 2020YFA0803300)+1 种基金CAMS Innovation Fund for Medical Sciences(2021-1-I2M-1-018,2022-I2M-2-001 and 2021-I2M-1-067)the Fundamental Research Funds for the Central Universities(3332021091).
文摘Increased rates of ribosome biogenesis have been recognized as hallmarks of many cancers and are associated with poor prognosis.Using a CRISPR synergistic activation mediator(SAM)system library targeting 89 ribosomal proteins(RPs)to screen for the most oncogenic functional RPs in human esophageal squamous cell carcinoma(ESCC),we found that high expression of RPS15 correlates with malignant phenotype and poor prognosis of ESCC.
基金National Key R&D Program of China(2021YFC2501000,2020YFA0803300)National Natural Science Foundation of China(82030089,82188102)+3 种基金CAMS Innovation Fund for Medical Sciences(2021-1-I2M-018,2021-I2M-1-067)China Postdoctoral Science Foundation(2021M700007)Sanming Project of Medicine in Shenzhen(No.SZSM201812062)Guangdong Basic and Applied Basic Research Foundation(2019B030302012).
文摘Whereas it is appreciated that cancer cells rewire lipid metabolism to survive and propagate,the roles of lipid metabolism in metastasis remain largely unknown.In this study,using esophageal squamous cell carcinoma(ESCC)as a pulmonary metastasis model,we find that the enzyme fatty acid 2-hydroxylase(FA2H),which catalyzes the hydroxylation of free fatty acids(FAs),is enriched in a subpopulation of ESCC cells with high metastatic potential,and that FA2H knockdown markedly mitigates metastatic lesions.Moreover,increased FA2H expression is positively associated with poor survival in patients with ESCC.Lipidomics analysis identifies that two dihydroceramides—Cer(d18:0/24:0)and Cer(d18:0/24:1)—are increased in FA2H-depleted metastasizing ESCC cells.Upon administration,Cer(d18:0/24:0)and Cer(d18:0/24:1)impair the formation of overt metastases in a mouse experimental metastasis model.Then,forkhead box protein C2(FOXC2)and FA2H are found to be co-upregulated in metastatic ESCC cell populations and ESCC specimens,and FA2H expression is further experimentally verified to be transcriptionally induced by FOXC2,which is boosted per se by tumour necrosis factorα(TNFα),a critical pro-metastasis cytokine in the tumour microenvironment,in metastasizing cells.Together,these results demonstrate that TNFα-FOXC2-FA2H is a novel signaling axis to promote metastasis,and its downstream dihydroceramide products could be promising drugs to intervene in metastasis.
基金This study was supported by funding from the National Key R&D Program of China(2020YFA0803300)the National Natural Science Foundation of China(82030089)+1 种基金the CAMS Innovation Fund for Medical Sciences(2016-I2M-1-001,2019-12M-1-003,2019-I2M-2-004)the Non-profit Central Research Institute Fund of CAMS(2019PT310027).
文摘Dear Editor,Chemoresistance is a major problem in the treatment of ovarian cancer patients and leads to poor prognosis,but its underlying mechanism remains elusive.Accumulating evidences have found that the aberrant regulation of the protein ubiquitination pathway plays an essential role in ovarian cancer chemoresistance.13 However,it is unclear whether and how deubiquitinase-USP11 involves in ovarian cancer chemoresistance.
基金supported by the National Natural Science Foundation of China(81790640,82070993,31571072,32070989,31872766,31571075,81430007,and 81470661)the Ministry of Science and Technology of China(2011CB504602 and 2015AA020512)+2 种基金a Shanghai Municipal Science and Technology Major Project(2018SHZDZX01)ZJLab,Shanghai Center for Brain Science and Brain-Inspired Technology,Sanming Project of Medicine in Shenzhen(SZSM202011015)Anhui Medical University Research Foundation(2020xkj003),China.
文摘Reduced levels of retinal dopamine,a key regulator of eye development,are associated with experimental myopia in various species,but are not seen in the myopic eyes of C57BL/6 mice,which are deficient in melatonin,a neurohormone having extensive interactions with dopamine.Here,we examined the relationship between form-deprivation myopia(FDM)and retinal dopamine levels in melatonin-proficient CBA/CaJ mice.We found that these mice exhibited a myopic refractive shift in form-deprived eyes,which was accompanied by altered retinal dopamine levels.When melatonin receptors were pharmacologically blocked,FDM could still be induced,but its magnitude was reduced,and retinal dopamine levels were no longer altered in FDM animals,indicating that melatonin-related changes in retinal dopamine levels contribute to FDM.Thus,FDM is mediated by both dopamine level-independent and melatonin-related dopamine level-dependent mechanisms in CBA/CaJ mice.The previously reported unaltered retinal dopamine levels in myopic C57BL/6 mice may be attributed to melatonin deficiency.