Stem cell-like memory T(TSCM)cells possess stem cell properties including multipotency and self-renewal and are being recognized as emerging players in various human diseases.Advanced technologies such as multiparamet...Stem cell-like memory T(TSCM)cells possess stem cell properties including multipotency and self-renewal and are being recognized as emerging players in various human diseases.Advanced technologies such as multiparametric flowcytometry and single cell sequencing have enabled their identification and molecular characterization.In case of chronic viral diseases such as human immunodeficiency virus-1,CD4+T_(SCM) cells,serve as major reservoirs of the latent virus.However,during immune activation and functional exhaustion of effector T cells,these cells also possess the potential to replenish the pool of functional effector cells to curtail the infection.More recently,these cells are speculated to play important role in protective immunity following acute viral infections such as coronavirus disease 2019 and might be amenable for therapeutics by ex vivo expansion.Similarly,studies are also investigating their pathological role in driving autoimmune responses.However,there are several gaps in the understanding of the role of T_(SCM) cells in viral and autoimmune diseases to make them potential therapeutic targets.In this minireview,we have attempted an updated compilation of the dyadic role of these complex T_(SCM) cells during such human diseases along with their biology and transcriptional programs.展开更多
Ensuring program satisfaction for undergraduate students in the areas of science,technology,engineering and mathematics(STEM)matters in student retention and education quality improvement.This study explores how four ...Ensuring program satisfaction for undergraduate students in the areas of science,technology,engineering and mathematics(STEM)matters in student retention and education quality improvement.This study explores how four rarely examined variables support from faculty members,interdisciplinary features of STEM program courses,disciplinary connectedness of STEM program core courses,and examination difficulty impact Chinese STEM undergraduates’program satisfaction.With data from 619 Chinese STEM undergraduates,structural equation modeling shows that course satisfaction partially mediates the impact of support from faculty members on program satisfaction,while fully mediating that of interdisciplinary features of STEM program courses and disciplinary connectedness of STEM program core courses on program satisfaction.Examination difficulty exerts no significant impact on program satisfaction neither directly nor indirectly.Support from faculty members impact course satisfaction significantly stronger for junior and senior students than for freshmen and sophomores,while interdisciplinary features of STEM program courses impact course satisfaction stronger for freshmen and sophomores than for juniors and seniors.The study ends with practical implications for the higher education reform in relevant areas.展开更多
BACKGROUND： S100 protein can promote axonal growth. Therefore, transplantation of induced bone marrow-derived mesenchymal stem cells （MSCs） that can secrete S100 may provide a beneficial microenvironment for neural...BACKGROUND： S100 protein can promote axonal growth. Therefore, transplantation of induced bone marrow-derived mesenchymal stem cells （MSCs） that can secrete S100 may provide a beneficial microenvironment for neural regeneration. OBJECTIVE： To explore the changes in S100 expression during rat MSCs differentiation into Schwann ceils in vitro. DESIGN, TIME AND SETTING： This cytology experiment was performed at the Jiangsu Key Laboratory of Neuroregeneration, Nantong University in China, from January 2006 to May 2007. MATERIALS： The rabbit anti-S100 polyclonal antibody was purchased from Dako, Denmark; the mouse anti-rat S100 monoclonal antibody was purchased from Sigma, USA. METHODS： MSCs were cultured from adult Sprague-Dawley rat femur and tibia. Cell proliferation was determined by the MTT method and CD markers, and cell cycle was measured by flow cytometry. MSCs were induced to differentiate into SC cells. SC cells were stained for S100 protein, glial fibrillary acidic protein, and low-affinity nerve growth factor receptor. S100 protein and mRNA levels were evaluated by flow cytometry, Western blot, and reverse transcription-polymerase chain reaction. MAIN OUTCOME MEASURES： S100 protein and mRNA expression. RESULTS： MSCs exhibited high amplification potential over eight passages. Prior to induction, the majority of MSCs were at the G0/G1 phase of the cell cycle. After induction, MSCs displayed morphology changes similar to Schwann cells. Moreover, induction increased S100 mRNA levels. Immunofluorescence showed that MSCs expressed S100 protein, glial fibrillary acidic protein, and low-affinity nerve growth factor receptor at 7 days of induction. Induction also increased S100 protein levels compared with untreated MSCs. CONCLUSION： MSCs are capable of differentiating into Schwann cells-like cells under conditional induction in vitro, with increasing S100 mRNA and protein expression.展开更多
MicroRNAs are an important subclass of non-coding RNAs (ncRNA), and serve as main players into RNA interference (RNAi). Mature microRNA derived from stem-loop structure called precursor. Identification of precursor mi...MicroRNAs are an important subclass of non-coding RNAs (ncRNA), and serve as main players into RNA interference (RNAi). Mature microRNA derived from stem-loop structure called precursor. Identification of precursor microRNA (pre-miRNA) is essential step to target microRNA in whole genome. The present work proposed 25 novel local features for identifying stem- loop structure of pre-miRNAs, which captures characteristics on both the sequence and structure. Firstly, we pulled the stem of hairpins and aligned the bases in bulges and internal loops used ‘―’, and then counted 24 base-pairs (‘AA’, ‘AU’, …, ‘―G’, except ‘――’) in pulled stem (formalized by length of pulled stem) as features vector of Support Vector Machine (SVM). Performances of three classifiers with our features and different kernels trained on human data were all superior to Triplet-SVM-classifier’s in po- sitive and negative testing data sets. Moreover, we achieved higher prediction accuracy through combining 7 global sequence-structure. The result indicates validity of novel local features.展开更多
To promote behavioral change among adolescents in Zambia, the National HIV/AIDS/STI/TB Council, in collaboration with UNICEF, developed the Zambia U-Report platform. This platform provides young people with improved a...To promote behavioral change among adolescents in Zambia, the National HIV/AIDS/STI/TB Council, in collaboration with UNICEF, developed the Zambia U-Report platform. This platform provides young people with improved access to information on various Sexual Reproductive Health topics through Short Messaging Service (SMS) messages. Over the years, the platform has accumulated millions of incoming and outgoing messages, which need to be categorized into key thematic areas for better tracking of sexual reproductive health knowledge gaps among young people. The current manual categorization process of these text messages is inefficient and time-consuming and this study aims to automate the process for improved analysis using text-mining techniques. Firstly, the study investigates the current text message categorization process and identifies a list of categories adopted by counselors over time which are then used to build and train a categorization model. Secondly, the study presents a proof of concept tool that automates the categorization of U-report messages into key thematic areas using the developed categorization model. Finally, it compares the performance and effectiveness of the developed proof of concept tool against the manual system. The study used a dataset comprising 206,625 text messages. The current process would take roughly 2.82 years to categorise this dataset whereas the trained SVM model would require only 6.4 minutes while achieving an accuracy of 70.4% demonstrating that the automated method is significantly faster, more scalable, and consistent when compared to the current manual categorization. These advantages make the SVM model a more efficient and effective tool for categorizing large unstructured text datasets. These results and the proof-of-concept tool developed demonstrate the potential for enhancing the efficiency and accuracy of message categorization on the Zambia U-report platform and other similar text messages-based platforms.展开更多
Mesenchymal stem/stromal cells(MSCs)have various properties that make them promising candidates for stem cell-based therapies in clinical settings.These include self-renewal,multilineage differentiation,and immunoregu...Mesenchymal stem/stromal cells(MSCs)have various properties that make them promising candidates for stem cell-based therapies in clinical settings.These include self-renewal,multilineage differentiation,and immunoregulation.However,recent studies have confirmed that aging is a vital factor that limits their function and therapeutic properties as standardized clinical products.Understanding the features of senescence and exploration of cell rejuvenation methods are necessary to develop effective strategies that can overcome the shortage and instability of MSCs.This review will summarize the current knowledge on characteristics and functional changes of aged MSCs.Additionally,it will highlight cell rejuvenation strategies such as molecular regulation,noncoding RNA modifications,and microenvironment controls that may enhance the therapeutic potential of MSCs in clinical settings.展开更多
It has become general for surface waters being polluted by micro organic compounds. In order to know the current pollution situation and the properties of micro organic compounds in the Changjiang River, a test was pe...It has become general for surface waters being polluted by micro organic compounds. In order to know the current pollution situation and the properties of micro organic compounds in the Changjiang River, a test was performed on micro organic compounds in the water, bottom material and fish bodies which were sampled from major city river reaches of the Changjiang River. Based on the test result, researchers described and analyzed the sorts, concentration level and distribution features of micro organic compounds. A comprehensive evaluation was conducted by adopting the method of MEG (Multimedia Environmental Goals). The study indicated that ① the water body of major city river reaches of the Changjiang River has been generally polluted. In the test, totally 12 types with 308 kinds of organic compounds were detected. The main pollutants were paraffins, PAHs and lipids; and ② micro organic pollutant content in fish bodies was generally higher than that in bottom material which is in turn higher than that in water; and ③ pollution is relatively severe in the river reaches of mid-to-large comprehensive industrial cities with fairly great TAS (Total Ambient Severity) of public health and ecological system.展开更多
Stem cell microterritories(niches),as a specialized part of the extracellular matrix(ECM),are considered an important target and tool for the development of new materials,medical implants,and devices.However,tissue bi...Stem cell microterritories(niches),as a specialized part of the extracellular matrix(ECM),are considered an important target and tool for the development of new materials,medical implants,and devices.However,tissue bioengineering products that have stem cell niches of known size on the surface or in the bulk structure of artificial materials are practically unknown.This brief review attempts to draw attention to the problematic aspects of niches as specific parts of the ECM,such as their hierarchy and size for mesenchymal stromal/stem cells(MSCs).These parameters arise directly from numerous definitions of stem cell niches as specialized morphological microterritories found in various tissues.The authors of this review analyze the known information on the hierarchy of MSC microterritories by analogy with that of hematopoietic stem cells.Occasional reports on the size of artificial MSC niches compared to natural niche candidates are summarized.A consensus on a hierarchy and optimal range of niche sizes for MSCs and other stem cells is needed to accelerate the development of prototyping technologies and additive manufacturing in applications to precise tissue bioengineering and regenerative medicine.展开更多
Subject Code:C07 With the support of the National Natural Science Foundation of China,a research group led by Prof.Deng Hongkui(邓宏魁)from Peking University,in collaboration with researchers from the Salk Institute a...Subject Code:C07 With the support of the National Natural Science Foundation of China,a research group led by Prof.Deng Hongkui(邓宏魁)from Peking University,in collaboration with researchers from the Salk Institute and Peking University People’s Hospital,demonstrates that the developmental potentials of stem cell展开更多
文摘Stem cell-like memory T(TSCM)cells possess stem cell properties including multipotency and self-renewal and are being recognized as emerging players in various human diseases.Advanced technologies such as multiparametric flowcytometry and single cell sequencing have enabled their identification and molecular characterization.In case of chronic viral diseases such as human immunodeficiency virus-1,CD4+T_(SCM) cells,serve as major reservoirs of the latent virus.However,during immune activation and functional exhaustion of effector T cells,these cells also possess the potential to replenish the pool of functional effector cells to curtail the infection.More recently,these cells are speculated to play important role in protective immunity following acute viral infections such as coronavirus disease 2019 and might be amenable for therapeutics by ex vivo expansion.Similarly,studies are also investigating their pathological role in driving autoimmune responses.However,there are several gaps in the understanding of the role of T_(SCM) cells in viral and autoimmune diseases to make them potential therapeutic targets.In this minireview,we have attempted an updated compilation of the dyadic role of these complex T_(SCM) cells during such human diseases along with their biology and transcriptional programs.
文摘Ensuring program satisfaction for undergraduate students in the areas of science,technology,engineering and mathematics(STEM)matters in student retention and education quality improvement.This study explores how four rarely examined variables support from faculty members,interdisciplinary features of STEM program courses,disciplinary connectedness of STEM program core courses,and examination difficulty impact Chinese STEM undergraduates’program satisfaction.With data from 619 Chinese STEM undergraduates,structural equation modeling shows that course satisfaction partially mediates the impact of support from faculty members on program satisfaction,while fully mediating that of interdisciplinary features of STEM program courses and disciplinary connectedness of STEM program core courses on program satisfaction.Examination difficulty exerts no significant impact on program satisfaction neither directly nor indirectly.Support from faculty members impact course satisfaction significantly stronger for junior and senior students than for freshmen and sophomores,while interdisciplinary features of STEM program courses impact course satisfaction stronger for freshmen and sophomores than for juniors and seniors.The study ends with practical implications for the higher education reform in relevant areas.
基金the National High-Tech Research & Development Program of China, No. 2006AA02A128the National Natural Science Foundation of China, No. 30670667
文摘BACKGROUND： S100 protein can promote axonal growth. Therefore, transplantation of induced bone marrow-derived mesenchymal stem cells （MSCs） that can secrete S100 may provide a beneficial microenvironment for neural regeneration. OBJECTIVE： To explore the changes in S100 expression during rat MSCs differentiation into Schwann ceils in vitro. DESIGN, TIME AND SETTING： This cytology experiment was performed at the Jiangsu Key Laboratory of Neuroregeneration, Nantong University in China, from January 2006 to May 2007. MATERIALS： The rabbit anti-S100 polyclonal antibody was purchased from Dako, Denmark; the mouse anti-rat S100 monoclonal antibody was purchased from Sigma, USA. METHODS： MSCs were cultured from adult Sprague-Dawley rat femur and tibia. Cell proliferation was determined by the MTT method and CD markers, and cell cycle was measured by flow cytometry. MSCs were induced to differentiate into SC cells. SC cells were stained for S100 protein, glial fibrillary acidic protein, and low-affinity nerve growth factor receptor. S100 protein and mRNA levels were evaluated by flow cytometry, Western blot, and reverse transcription-polymerase chain reaction. MAIN OUTCOME MEASURES： S100 protein and mRNA expression. RESULTS： MSCs exhibited high amplification potential over eight passages. Prior to induction, the majority of MSCs were at the G0/G1 phase of the cell cycle. After induction, MSCs displayed morphology changes similar to Schwann cells. Moreover, induction increased S100 mRNA levels. Immunofluorescence showed that MSCs expressed S100 protein, glial fibrillary acidic protein, and low-affinity nerve growth factor receptor at 7 days of induction. Induction also increased S100 protein levels compared with untreated MSCs. CONCLUSION： MSCs are capable of differentiating into Schwann cells-like cells under conditional induction in vitro, with increasing S100 mRNA and protein expression.
文摘MicroRNAs are an important subclass of non-coding RNAs (ncRNA), and serve as main players into RNA interference (RNAi). Mature microRNA derived from stem-loop structure called precursor. Identification of precursor microRNA (pre-miRNA) is essential step to target microRNA in whole genome. The present work proposed 25 novel local features for identifying stem- loop structure of pre-miRNAs, which captures characteristics on both the sequence and structure. Firstly, we pulled the stem of hairpins and aligned the bases in bulges and internal loops used ‘―’, and then counted 24 base-pairs (‘AA’, ‘AU’, …, ‘―G’, except ‘――’) in pulled stem (formalized by length of pulled stem) as features vector of Support Vector Machine (SVM). Performances of three classifiers with our features and different kernels trained on human data were all superior to Triplet-SVM-classifier’s in po- sitive and negative testing data sets. Moreover, we achieved higher prediction accuracy through combining 7 global sequence-structure. The result indicates validity of novel local features.
文摘To promote behavioral change among adolescents in Zambia, the National HIV/AIDS/STI/TB Council, in collaboration with UNICEF, developed the Zambia U-Report platform. This platform provides young people with improved access to information on various Sexual Reproductive Health topics through Short Messaging Service (SMS) messages. Over the years, the platform has accumulated millions of incoming and outgoing messages, which need to be categorized into key thematic areas for better tracking of sexual reproductive health knowledge gaps among young people. The current manual categorization process of these text messages is inefficient and time-consuming and this study aims to automate the process for improved analysis using text-mining techniques. Firstly, the study investigates the current text message categorization process and identifies a list of categories adopted by counselors over time which are then used to build and train a categorization model. Secondly, the study presents a proof of concept tool that automates the categorization of U-report messages into key thematic areas using the developed categorization model. Finally, it compares the performance and effectiveness of the developed proof of concept tool against the manual system. The study used a dataset comprising 206,625 text messages. The current process would take roughly 2.82 years to categorise this dataset whereas the trained SVM model would require only 6.4 minutes while achieving an accuracy of 70.4% demonstrating that the automated method is significantly faster, more scalable, and consistent when compared to the current manual categorization. These advantages make the SVM model a more efficient and effective tool for categorizing large unstructured text datasets. These results and the proof-of-concept tool developed demonstrate the potential for enhancing the efficiency and accuracy of message categorization on the Zambia U-report platform and other similar text messages-based platforms.
基金Supported by the National Natural Science Foundation of China,Nos.81500207,81670458,and 81470393Shanghai Municipal Health and Family Planning Commission,No.ZY(2018-2020)-FWTX-2007+4 种基金Shanghai Key Medical Discipline for Critical Care Medicine,No.2017zz02017the National Key Research and Development Program of China,No.2017YFA0105600Major Program of Development Fund for Shanghai Zhangjiang National Innovtaion Demonstration Zone,No.ZJ2018-ZD-004the Science and Technology Commission of Shanghai Municipality,No.17431906600and the Top-level Clinical Discipline Project of Shanghai Pudong,No.PWYgf2018-05.
文摘Mesenchymal stem/stromal cells(MSCs)have various properties that make them promising candidates for stem cell-based therapies in clinical settings.These include self-renewal,multilineage differentiation,and immunoregulation.However,recent studies have confirmed that aging is a vital factor that limits their function and therapeutic properties as standardized clinical products.Understanding the features of senescence and exploration of cell rejuvenation methods are necessary to develop effective strategies that can overcome the shortage and instability of MSCs.This review will summarize the current knowledge on characteristics and functional changes of aged MSCs.Additionally,it will highlight cell rejuvenation strategies such as molecular regulation,noncoding RNA modifications,and microenvironment controls that may enhance the therapeutic potential of MSCs in clinical settings.
文摘It has become general for surface waters being polluted by micro organic compounds. In order to know the current pollution situation and the properties of micro organic compounds in the Changjiang River, a test was performed on micro organic compounds in the water, bottom material and fish bodies which were sampled from major city river reaches of the Changjiang River. Based on the test result, researchers described and analyzed the sorts, concentration level and distribution features of micro organic compounds. A comprehensive evaluation was conducted by adopting the method of MEG (Multimedia Environmental Goals). The study indicated that ① the water body of major city river reaches of the Changjiang River has been generally polluted. In the test, totally 12 types with 308 kinds of organic compounds were detected. The main pollutants were paraffins, PAHs and lipids; and ② micro organic pollutant content in fish bodies was generally higher than that in bottom material which is in turn higher than that in water; and ③ pollution is relatively severe in the river reaches of mid-to-large comprehensive industrial cities with fairly great TAS (Total Ambient Severity) of public health and ecological system.
基金This research was supported by the Grants Council of the President of the Russian Federation for Leading Scientific Schools,Grant No.NSh-2495.2020.7Siberian State Medical University Development Program Priority 2030。
文摘Stem cell microterritories(niches),as a specialized part of the extracellular matrix(ECM),are considered an important target and tool for the development of new materials,medical implants,and devices.However,tissue bioengineering products that have stem cell niches of known size on the surface or in the bulk structure of artificial materials are practically unknown.This brief review attempts to draw attention to the problematic aspects of niches as specific parts of the ECM,such as their hierarchy and size for mesenchymal stromal/stem cells(MSCs).These parameters arise directly from numerous definitions of stem cell niches as specialized morphological microterritories found in various tissues.The authors of this review analyze the known information on the hierarchy of MSC microterritories by analogy with that of hematopoietic stem cells.Occasional reports on the size of artificial MSC niches compared to natural niche candidates are summarized.A consensus on a hierarchy and optimal range of niche sizes for MSCs and other stem cells is needed to accelerate the development of prototyping technologies and additive manufacturing in applications to precise tissue bioengineering and regenerative medicine.
文摘Subject Code:C07 With the support of the National Natural Science Foundation of China,a research group led by Prof.Deng Hongkui(邓宏魁)from Peking University,in collaboration with researchers from the Salk Institute and Peking University People’s Hospital,demonstrates that the developmental potentials of stem cell
