Breast cancer,also recognized as the principal cause of cancer-related deaths among women,is the second most familiar and prevalent form of cancer.New diagnostic and prognostic biomarkers that are highly specific are ...Breast cancer,also recognized as the principal cause of cancer-related deaths among women,is the second most familiar and prevalent form of cancer.New diagnostic and prognostic biomarkers that are highly specific are urgently needed for its early prognosis.MicroRNAs(miRNAs),a class of non-coding RNAs,are known to control the biological processes involving transcription,post-transcriptional and covalent modifications,splicing,translation,cell differentiation,proliferation,apoptosis,cancer progression,and invasion.Any dysregulation in miRNA expression,demonstrating their oncogenic and tumor-suppressive functions,contributes to cancer progression.MicroRNA-21(miR-21),an‘onco-miR’in breast cancer,is involved in tumor progression and metastasis by suppressing the activity of the target gene via its interaction with the 3’UTR of the target gene.The upregulation of miR-21 is observed in many instances of breast cancer.Our review aims to summarize the current understanding of miR-21 in the regulation of important cellular functions via regulation of its target genes.We discuss its biosynthesis,oncogenic function in breast cancer,and different methods used for its detection.This will increase the current understanding of the role of miR-21 in breast cancer tumorigenesis,which will offer a perception of using miR-21 as an early detection molecular prognostic and diagnostic biomarker and as a therapeutic target in breast cancer care.展开更多
MicroRNA-153(miR-153),belongs toa dass of small non-coding RNA.It is a aritical regulator of gene expression at the post-transcriptional lewel which interacts with the functional mRNA at 3UTR rgion and suppresses the ...MicroRNA-153(miR-153),belongs toa dass of small non-coding RNA.It is a aritical regulator of gene expression at the post-transcriptional lewel which interacts with the functional mRNA at 3UTR rgion and suppresses the expression of the mRNA.More recently,it has become apparent that dhanges in the miR-153 axpression lead to invasion,metastasis,angiogenesis and various types of tumor progression.This review summarizes the connection between dysrgulation of miR-153 and various typas of cancer progression.miR-153 regulates various signaling pathways to inhibit the proliferation and induce apoptosis in the ancer cell and also show synergistic activity with anticancer drugs.In addition to this,the oncogenic bchavior of miR-153 and their use as a potential biomarker in cancer was also reviewed.展开更多
In the ecosphere,plants interact with environmental biotic and abiotic partners,where unbalanced interactions can induce unfavourable stress conditions.Abiotic factors(temperature,water,and salt)are primarily required...In the ecosphere,plants interact with environmental biotic and abiotic partners,where unbalanced interactions can induce unfavourable stress conditions.Abiotic factors(temperature,water,and salt)are primarily required for plants healthy survival,and any change in their availability is reflected as a stress signal.In certain cases,the presence of infectious pathogens such as viruses,bacteria,fungi,protozoa,nematodes,and insects can also create stress conditions in plants,leading to the emergence of disease or deficiency symptoms.While these symptoms are often typical of abiotic or biotic stress,however,there are instances where they can intensify under specific conditions.Here,we primarily summarize the viral interactions with plants during abiotic stress to understand how these associations are linked together during viral pathogenesis.Secondly,focus is given to the beneficial effects of root-associated symbiotic bacteria in fulfilling the basic needs of plants during normal as well as abiotic stress conditions.The modulations of plant functional proteins,and their occurrence/cross-talk,with pathogen(virus)and symbiont(bacteria)molecules are also discussed.Furthermore,we have highlighted the biochemical and systematic adaptations that develop in plants due to bacterial symbiosis to encounter stress hallmarks.Lastly,directions are provided towards exploring potential rhizospheric bacteria to maintain plant-microbes ecosystem and manage abiotic stress in plants to achieve better trait health in the horticulture crops.展开更多
Purpose-Decision support systems developed using machine learning classifiers have become a valuable tool in predicting various diseases.However,the performance of these systems is adversely affected by the missing va...Purpose-Decision support systems developed using machine learning classifiers have become a valuable tool in predicting various diseases.However,the performance of these systems is adversely affected by the missing values in medical datasets.Imputation methods are used to predict these missing values.In this paper,a new imputation method called hybrid imputation optimized by the classifier(HIOC)is proposed to predict missing values efficiently.Design/methodology/approach-The proposed HIOC is developed by using a classifier to combine multivariate imputation by chained equations(MICE),K nearest neighbor(KNN),mean and mode imputation methods in an optimum way.Performance of HIOC has been compared to MICE,KNN,and mean and mode methods.Four classifiers support vector machine(SVM),naive Bayes(NB),random forest(RF)and decision tree(DT)have been used to evaluate the performance of imputation methods.Findings-The results show that HIOC performed efficiently even with a high rate of missing values.It had reduced root mean square error(RMSE)up to 17.32%in the heart disease dataset and 34.73%in the breast cancer dataset.Correct prediction of missing values improved the accuracy of the classifiers in predicting diseases.It increased classification accuracy up to 18.61%in the heart disease dataset and 6.20%in the breast cancer dataset.Originality/value-The proposed HIOC is a new hybrid imputation method that can efficiently predict missing values in any medical dataset.展开更多
Calcium oxide(CaO)is a promising material that works as a glass constituent,catalyst,toxic-waste remediation,poisonous gas absorbent,industrial refectory element for metal smelting,paper bleaching,sulfur neutralizatio...Calcium oxide(CaO)is a promising material that works as a glass constituent,catalyst,toxic-waste remediation,poisonous gas absorbent,industrial refectory element for metal smelting,paper bleaching,sulfur neutralization in sugar,cosmetics and drug delivery mediator.This work proposes the synthesis of CaO nanoparticles by direct precipitation technique using an aqueous solution of calcium chloride and sodium hydroxide precursors.The synthesized nanoparticles are characterized for the structure,morphology,chemical composition and optical behavior using Fourier transform infrared(FTIR)spectroscopy,X-ray diffraction(XRD),field effect scanning electron microscopy(FE-SEM),energy dispersive X-ray spectroscopy(EDS),and diffuse reflectance spectroscopy.The XRD results show that the CaO nanoparticles have been synthesized in a cubic crystalline structure with the average crystallite size of about 13 nm and display aggregated morphology of nanoclusters.The presence of distinct peaks in the FTIR and EDS spectra reveal that the nanoparticles are successfully formed from the chemical recipe of the precipitation process.The optical bandgap has been estimated from the Kubelka-Munk plot and found to be 3.48 eV.The antibacterial activity of CaO nanoparticles has been tested by the well diffusion technique and observed that it shows good antibacterial action against the gram-negative bacterial strains.展开更多
文摘Breast cancer,also recognized as the principal cause of cancer-related deaths among women,is the second most familiar and prevalent form of cancer.New diagnostic and prognostic biomarkers that are highly specific are urgently needed for its early prognosis.MicroRNAs(miRNAs),a class of non-coding RNAs,are known to control the biological processes involving transcription,post-transcriptional and covalent modifications,splicing,translation,cell differentiation,proliferation,apoptosis,cancer progression,and invasion.Any dysregulation in miRNA expression,demonstrating their oncogenic and tumor-suppressive functions,contributes to cancer progression.MicroRNA-21(miR-21),an‘onco-miR’in breast cancer,is involved in tumor progression and metastasis by suppressing the activity of the target gene via its interaction with the 3’UTR of the target gene.The upregulation of miR-21 is observed in many instances of breast cancer.Our review aims to summarize the current understanding of miR-21 in the regulation of important cellular functions via regulation of its target genes.We discuss its biosynthesis,oncogenic function in breast cancer,and different methods used for its detection.This will increase the current understanding of the role of miR-21 in breast cancer tumorigenesis,which will offer a perception of using miR-21 as an early detection molecular prognostic and diagnostic biomarker and as a therapeutic target in breast cancer care.
文摘MicroRNA-153(miR-153),belongs toa dass of small non-coding RNA.It is a aritical regulator of gene expression at the post-transcriptional lewel which interacts with the functional mRNA at 3UTR rgion and suppresses the expression of the mRNA.More recently,it has become apparent that dhanges in the miR-153 axpression lead to invasion,metastasis,angiogenesis and various types of tumor progression.This review summarizes the connection between dysrgulation of miR-153 and various typas of cancer progression.miR-153 regulates various signaling pathways to inhibit the proliferation and induce apoptosis in the ancer cell and also show synergistic activity with anticancer drugs.In addition to this,the oncogenic bchavior of miR-153 and their use as a potential biomarker in cancer was also reviewed.
基金received external funding from project EEQ/2021/000312 from Science and Engineering Research Board,DST,Govt.of IndiaS.D.also acknowledge Department of Biotechnology,Govt.of India for providing funding through EMR project BT/PR40936/AGIII/103/1255/2020。
文摘In the ecosphere,plants interact with environmental biotic and abiotic partners,where unbalanced interactions can induce unfavourable stress conditions.Abiotic factors(temperature,water,and salt)are primarily required for plants healthy survival,and any change in their availability is reflected as a stress signal.In certain cases,the presence of infectious pathogens such as viruses,bacteria,fungi,protozoa,nematodes,and insects can also create stress conditions in plants,leading to the emergence of disease or deficiency symptoms.While these symptoms are often typical of abiotic or biotic stress,however,there are instances where they can intensify under specific conditions.Here,we primarily summarize the viral interactions with plants during abiotic stress to understand how these associations are linked together during viral pathogenesis.Secondly,focus is given to the beneficial effects of root-associated symbiotic bacteria in fulfilling the basic needs of plants during normal as well as abiotic stress conditions.The modulations of plant functional proteins,and their occurrence/cross-talk,with pathogen(virus)and symbiont(bacteria)molecules are also discussed.Furthermore,we have highlighted the biochemical and systematic adaptations that develop in plants due to bacterial symbiosis to encounter stress hallmarks.Lastly,directions are provided towards exploring potential rhizospheric bacteria to maintain plant-microbes ecosystem and manage abiotic stress in plants to achieve better trait health in the horticulture crops.
文摘Purpose-Decision support systems developed using machine learning classifiers have become a valuable tool in predicting various diseases.However,the performance of these systems is adversely affected by the missing values in medical datasets.Imputation methods are used to predict these missing values.In this paper,a new imputation method called hybrid imputation optimized by the classifier(HIOC)is proposed to predict missing values efficiently.Design/methodology/approach-The proposed HIOC is developed by using a classifier to combine multivariate imputation by chained equations(MICE),K nearest neighbor(KNN),mean and mode imputation methods in an optimum way.Performance of HIOC has been compared to MICE,KNN,and mean and mode methods.Four classifiers support vector machine(SVM),naive Bayes(NB),random forest(RF)and decision tree(DT)have been used to evaluate the performance of imputation methods.Findings-The results show that HIOC performed efficiently even with a high rate of missing values.It had reduced root mean square error(RMSE)up to 17.32%in the heart disease dataset and 34.73%in the breast cancer dataset.Correct prediction of missing values improved the accuracy of the classifiers in predicting diseases.It increased classification accuracy up to 18.61%in the heart disease dataset and 6.20%in the breast cancer dataset.Originality/value-The proposed HIOC is a new hybrid imputation method that can efficiently predict missing values in any medical dataset.
文摘Calcium oxide(CaO)is a promising material that works as a glass constituent,catalyst,toxic-waste remediation,poisonous gas absorbent,industrial refectory element for metal smelting,paper bleaching,sulfur neutralization in sugar,cosmetics and drug delivery mediator.This work proposes the synthesis of CaO nanoparticles by direct precipitation technique using an aqueous solution of calcium chloride and sodium hydroxide precursors.The synthesized nanoparticles are characterized for the structure,morphology,chemical composition and optical behavior using Fourier transform infrared(FTIR)spectroscopy,X-ray diffraction(XRD),field effect scanning electron microscopy(FE-SEM),energy dispersive X-ray spectroscopy(EDS),and diffuse reflectance spectroscopy.The XRD results show that the CaO nanoparticles have been synthesized in a cubic crystalline structure with the average crystallite size of about 13 nm and display aggregated morphology of nanoclusters.The presence of distinct peaks in the FTIR and EDS spectra reveal that the nanoparticles are successfully formed from the chemical recipe of the precipitation process.The optical bandgap has been estimated from the Kubelka-Munk plot and found to be 3.48 eV.The antibacterial activity of CaO nanoparticles has been tested by the well diffusion technique and observed that it shows good antibacterial action against the gram-negative bacterial strains.
