Search results for "Chin"

showing 10 items of 10015 documents

Contribution of aerobic anoxygenic phototrophic bacteria to total organic carbon pool in aquatic system of subtropical karst catchments, Southwest Ch…

2017

Aerobic anoxygenic phototrophic bacteria may play a particular role in carbon cycling of aquatic systems. However, little is known about the interaction between aerobic anoxygenic phototrophic bacteria and hydrochemistry in groundwater-surface water exchange systems of subtropical karst catchments. We carried out a detailed study on the abundance of aerobic anoxygenic phototrophic bacteria and bacterioplankton, hydrochemistry and taxonomy of bacterioplankton in the Maocun watershed, Southwest China, an area with karst geological background. Our results revealed that bacteria are the important contributors to total organic carbon source/sequestration in the groundwater-surface water of this …

0301 basic medicineAquatic OrganismsChinaNitrogen030106 microbiologyBiologyGlobal WarmingApplied Microbiology and BiotechnologyMicrobiologyCarbon cycle03 medical and health sciencesRNA Ribosomal 16SGroundwaterTotal organic carbonEcologyEcologyAquatic ecosystemBetaproteobacteriaBacterioplanktonbiology.organism_classificationCarbonBacteria AerobicOxygenPhototrophic Processes030104 developmental biologyAerobic anoxygenic phototrophic bacteriaProteobacteriaBacteriaPolynucleobacterFEMS Microbiology Ecology
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Risk Assessment of Hip Fracture Based on Machine Learning

2020

[EN] Identifying patients with high risk of hip fracture is a great challenge in osteoporosis clinical assessment. Bone Mineral Density (BMD) measured by Dual-Energy X-Ray Absorptiometry (DXA) is the current gold standard in osteoporosis clinical assessment. However, its classification accuracy is only around 65%. In order to improve this accuracy, this paper proposes the use of Machine Learning (ML) models trained with data from a biomechanical model that simulates a sideways-fall. Machine Learning (ML) models are models able to learn and to make predictions from data. During a training process, ML models learn a function that maps inputs and outputs without previous knowledge of the probl…

0301 basic medicineArticle SubjectProcess (engineering)Computer scienceQH301-705.5INGENIERIA MECANICAmedia_common.quotation_subjectOsteoporosisBiomedical EngineeringMedicine (miscellaneous)030209 endocrinology & metabolismBioengineeringMachine learningcomputer.software_genreRisk AssessmentMachine Learning03 medical and health sciencesHip Fracture0302 clinical medicinemedicine03.- Garantizar una vida saludable y promover el bienestar para todos y todas en todas las edadesSensitivity (control systems)Biology (General)media_commonHip fractureVariablesbusiness.industryGold standard (test)medicine.diseaseRandom forest030104 developmental biologyArtificial intelligenceRisk assessmentbusinessLENGUAJES Y SISTEMAS INFORMATICOScomputerTP248.13-248.65Research ArticleBiotechnologyApplied Bionics and Biomechanics
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Deep learning in next-generation sequencing

2020

Highlights • Machine learning increasingly important for NGS. • Deep learning can improve many NGS applications.

0301 basic medicineBiomedical ResearchComputer scienceContext (language use)ComputerApplications_COMPUTERSINOTHERSYSTEMSReviewMachine learningcomputer.software_genre03 medical and health sciences0302 clinical medicineDeep LearningGene to ScreenDrug DiscoveryHumansPharmacologyFeature detection (web development)Network architectureArtificial neural networkbusiness.industryDeep learningHigh-Throughput Nucleotide SequencingMedical research030104 developmental biologyMetagenomics030220 oncology & carcinogenesisUnsupervised learningArtificial intelligenceMetagenomicsNeural Networks ComputerbusinesscomputerDrug Discovery Today
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A minimal molecular toolkit for mineral deposition? Biochemistry and proteomics of the test matrix of adult specimens of the sea urchin Paracentrotus…

2016

12 pages; International audience; The sea urchin endoskeleton consists of a magnesium-rich biocalcite comprising a small amount of occluded organic macromolecules. This structure constitutes a key-model for understanding the mineral - organics interplay, and for conceiving in vitro bio-inspired materials with tailored properties. Here we employed a deep-clean technique to purify the occluded proteins from adult Paracentrotus lividus tests. We characterized them by 1- and 2D-electrophoreses, ELISA and immunoblotting, and using liquid chromatography coupled with Mass Spectrometry (nanoLC-MS/MS), we identified two metalloenzymes (carbonic anhydrase and MMP), a set of MSP130 family members, sev…

0301 basic medicineBiomineralizationProteomicsSea urchinBiophysicsMatrix (biology)ProteomicsBiochemistryMineralization (biology)Paracentrotus lividusMass Spectrometry03 medical and health sciences0302 clinical medicinebiology.animal[SDV.BBM.GTP]Life Sciences [q-bio]/Biochemistry Molecular Biology/Genomics [q-bio.GN]Animals[SDV.IB.BIO]Life Sciences [q-bio]/Bioengineering/BiomaterialsSea urchinExtracellular Matrix ProteinsCarbonic anhydrasebiologyChemistryCalcitebiology.organism_classification[ SDV.IB.BIO ] Life Sciences [q-bio]/Bioengineering/BiomaterialsIn vitroExtracellular MatrixCalcifying matrixC-type lectin030104 developmental biologyBiochemistry[ SDV.BBM.GTP ] Life Sciences [q-bio]/Biochemistry Molecular Biology/Genomics [q-bio.GN]Paracentrotus030217 neurology & neurosurgeryMacromoleculeBiomineralization
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Mutant p53 induces Golgi tubulo-vesiculation driving a prometastatic secretome

2020

TP53 missense mutations leading to the expression of mutant p53 oncoproteins are frequent driver events during tumorigenesis. p53 mutants promote tumor growth, metastasis and chemoresistance by affecting fundamental cellular pathways and functions. Here, we demonstrate that p53 mutants modify structure and function of the Golgi apparatus, culminating in the increased release of a pro-malignant secretome by tumor cells and primary fibroblasts from patients with Li-Fraumeni cancer predisposition syndrome. Mechanistically, interacting with the hypoxia responsive factor HIF1α, mutant p53 induces the expression of miR-30d, which in turn causes tubulo-vesiculation of the Golgi apparatus, leading …

0301 basic medicineBiopsyGeneral Physics and AstronomyGolgi ApparatusAnimals Biopsy Breast Neoplasms Cell Line Tumor Cell Transformation Neoplastic Female Fibroblasts Gene Expression Regulation Neoplastic Golgi Apparatus Humans Hypoxia-Inducible Factor 1 alpha Subunit Li-Fraumeni Syndrome Mice MicroRNAs Microtubules Mutation Primary Cell Culture Secretory Vesicles Signal TransductionSkin Tumor Microenvironment Tumor Suppressor Protein p53 Xenograft Model Antitumor Assays02 engineering and technologymedicine.disease_causeCell TransformationMicrotubulesSettore BIO/09 - FisiologiaMetastasisLi-Fraumeni SyndromeMiceTumor MicroenvironmentGolgisecretory machinerySuper-resolution microscopyAnimals; Biopsy; Breast Neoplasms; Cell Line Tumor; Cell Transformation Neoplastic; Female; Fibroblasts; Gene Expression Regulation Neoplastic; Golgi Apparatus; Humans; Hypoxia-Inducible Factor 1 alpha Subunit; Li-Fraumeni Syndrome; Mice; MicroRNAs; Microtubules; Mutation; Primary Cell Culture; Secretory Vesicles; Signal Transduction; Skin; Tumor Microenvironment; Tumor Suppressor Protein p53; Xenograft Model Antitumor Assayslcsh:ScienceSkinMultidisciplinaryTumorChemistrymutant p53QCell migrationMicroRNASecretomics021001 nanoscience & nanotechnologyCell biologyGene Expression Regulation NeoplasticCell Transformation NeoplasticsymbolsFibroblastmiR-30dFemaleHypoxia-Inducible Factor 10210 nano-technologyBreast NeoplasmHumanSignal TransductionCancer microenvironmentStromal cellSecretory VesicleSciencePrimary Cell CultureBreast NeoplasmsMicrotubuleGolgi ApparatuSettore MED/08 - Anatomia Patologicaalpha SubunitGeneral Biochemistry Genetics and Molecular BiologyArticleCell Line03 medical and health sciencessymbols.namesakeCell Line TumormedicineAnimalsHumansSettore MED/05 - Patologia ClinicaSecretionTumor microenvironmentNeoplasticAnimalSecretory VesiclesGeneral ChemistryOncogenesGolgi apparatusHDAC6FibroblastsMicroreviewHypoxia-Inducible Factor 1 alpha SubunitmicroenvironmentXenograft Model Antitumor AssaysMicroRNAs030104 developmental biologyGene Expression RegulationMutationlcsh:QTumor Suppressor Protein p53Carcinogenesis
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Gut Microbiota, Short-Chain Fatty Acids, and Herbal Medicines

2018

As an important source for traditional medical systems such as Ayurvedic medicine and traditional Chinese medicine, herbal medicines have received widespread attentions from all over the world, especially in developing countries. Over the past decade, studies on gut microbiota have generated rich information for understanding how gut microbiota shape the functioning of our body system. In view of the importance of gut microbiota, the researchers engaged in studying herbal medicines have paid more and more attention to gut microbiota and gut microbiota metabolites. Among a variety of gut microbiota metabolites, short-chain fatty acids (SCFAs) have received most attention because of their imp…

0301 basic medicineBody systemPharmacologyAyurvedic medicineTraditional medicinegut microbiotaMini Reviewshort-chain fatty acidslcsh:RM1-950Traditional Chinese medicineBiologyGut florabiology.organism_classificationdigestive system03 medical and health sciencestraditional Chinese medicine030104 developmental biologylcsh:Therapeutics. Pharmacologyherbal medicinesPharmacology (medical)metabolitesMedical systemsFrontiers in Pharmacology
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Lack of association between screening interval and cancer stage in Lynch syndrome may be accounted for by over-diagnosis; a prospective Lynch syndrom…

2019

Background Recent epidemiological evidence shows that colorectal cancer (CRC) continues to occur in carriers of pathogenic mismatch repair (path_MMR) variants despite frequent colonoscopy surveillance in expert centres. This observation conflicts with the paradigm that removal of all visible polyps should prevent the vast majority of CRC in path_MMR carriers, provided the screening interval is sufficiently short and colonoscopic practice is optimal. Methods To inform the debate, we examined, in the Prospective Lynch Syndrome Database (PLSD), whether the time since last colonoscopy was associated with the pathological stage at which CRC was diagnosed during prospective surveillance. Path_MMR…

0301 basic medicineCOLONOSCOPIC SURVEILLANCEColorectal cancerColonoscopy030105 genetics & hereditycomputer.software_genreFAMILIESCOLORECTAL-CANCERBreast cancer screening0302 clinical medicine610 Medical sciences MedicineEpidemiologytähystysStage (cooking)Hereditary nonpolyposis colorectal cancerMUTATIONGenetics (clinical)RISKSurveillanceDatabasemedicine.diagnostic_testIncidence (epidemiology)Colonoscopylcsh:Neoplasms. Tumors. Oncology. Including cancer and carcinogensLynch syndrome3. Good healthOncology030220 oncology & carcinogenesisendoskopiaScreeningsyöpätauditkoloskopiamedicine.medical_specialtylcsh:QH426-4703122 Cancers610suolistosyövätmikrosatelliititlcsh:RC254-282Mismatch repair03 medical and health sciencesCàncer colorectalmedicineEndoscòpiaLynchin oireyhtymäperinnölliset tauditseulontatutkimusbusiness.industryResearchColonoscòpiaMicrosatellite instabilityEndoscopyDNAdiagnostiikkamedicine.diseaseColorectal cancerdigestive system diseasesHereditary cancerADENOMAlcsh:GeneticsLynch syndromeOver-diagnosisMicrosatellite instabilitytarkkailubusinesscomputer
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A Pan-Cancer Approach to Predict Responsiveness to Immune Checkpoint Inhibitors by Machine Learning

2019

Immunotherapy by using immune checkpoint inhibitors (ICI) has dramatically improved the treatment options in various cancers, increasing survival rates for treated patients. Nevertheless, there are heterogeneous response rates to ICI among different cancer types, and even in the context of patients affected by a specific cancer. Thus, it becomes crucial to identify factors that predict the response to immunotherapeutic approaches. A comprehensive investigation of the mutational and immunological aspects of the tumor can be useful to obtain a robust prediction. By performing a pan-cancer analysis on gene expression data from the Cancer Genome Atlas (TCGA, 8055 cases and 29 cancer types), we …

0301 basic medicineCancer ResearchImmune checkpoint inhibitorsmedicine.medical_treatmentimmunology-pancancerimmune checkpoint inhibitorContext (language use)Machine learningcomputer.software_genrelcsh:RC254-282Article03 medical and health sciences0302 clinical medicinemedicineExtreme gradient boostingPan cancerbusiness.industryCancerImmunotherapylcsh:Neoplasms. Tumors. Oncology. Including cancer and carcinogensMatthews correlation coefficientmedicine.diseaseSupport vector machine030104 developmental biologymachine learningOncology030220 oncology & carcinogenesisArtificial intelligencebusinesscomputerCancers
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Uptake of hysterectomy and bilateral salpingo-oophorectomy in carriers of pathogenic mismatch repair variants:a Prospective Lynch Syndrome Database r…

2021

Purpose: This study aimed to report the uptake of hysterectomy and/or bilateral salpingo-oophorectomy (BSO) to prevent gynaecological cancers (risk-reducing surgery [RRS]) in carriers of pathogenic MMR (path_MMR) variants.Methods: The Prospective Lynch Syndrome Database (PLSD) was used to investigate RRS by a cross-sectional study in 2292 female path_MMR carriers aged 30-69 years.Results: Overall, 144, 79, and 517 carriers underwent risk-reducing hysterectomy, BSO, or both combined, respectively. Two-thirds of procedures before 50 years of age were combined hysterectomy and BSO, and 81% of all procedures included BSO. Risk-reducing hysterectomy was performed before age 50 years in 28%, 25%,…

0301 basic medicineCancer ResearchOophorectomyDatabases FactualColorectal cancerSURGERYmedicine.medical_treatmentCàncer d'ovaricomputer.software_genreDNA Mismatch Repair0302 clinical medicineEndometrial cancermunasarjasyöpäMedicineProspective StudiesColectomySalpingo-oophorectomy/methodsDatabaseManchester Cancer Research CentreCOLON-CANCERMLH1WOMENMiddle AgedPrognosisLynch syndrome3. Good healthkohdunrungon syöpäOncologyCOLECTOMY030220 oncology & carcinogenesisFemaleBiomarkers Tumor/geneticsAdultHeterozygoteGenital Neoplasms FemaleSalpingo-oophorectomyHysterectomy03 medical and health sciencesGenital Neoplasms Female/prevention & controlOvarian cancerColorectal Neoplasms Hereditary Nonpolyposis/geneticsBiomarkers TumorMortalitatHumansHysterectomy/methodsMortalityLynchin oireyhtymäRisk-reducing surgeryAgedHysterectomybusiness.industryEndometrial cancerResearchInstitutes_Networks_Beacons/mcrcCancerOophorectomyMSH63126 Surgery anesthesiology intensive care radiologymedicine.diseaseColorectal Neoplasms Hereditary NonpolyposisMSH2030104 developmental biologyCross-Sectional StudiesLynch syndromePMS2Càncer d'endometriMutationkohdunpoistobusinessOvarian cancercomputerFollow-Up Studies
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Molecular pathway activation – New type of biomarkers for tumor morphology and personalized selection of target drugs

2018

Anticancer target drugs (ATDs) specifically bind and inhibit molecular targets that play important roles in cancer development and progression, being deeply implicated in intracellular signaling pathways. To date, hundreds of different ATDs were approved for clinical use in the different countries. Compared to previous chemotherapy treatments, ATDs often demonstrate reduced side effects and increased efficiency, but also have higher costs. However, the efficiency of ATDs for the advanced stage tumors is still insufficient. Different ATDs have different mechanisms of action and are effective in different cohorts of patients. Personalized approaches are therefore needed to select the best ATD…

0301 basic medicineCancer ResearchSystems biologymutation profilingAntineoplastic AgentsComputational biologyProteomics03 medical and health sciencesNeoplasmsmicroRNABiomarkers TumorHumanscancerMedicineMolecular Targeted TherapyEpigeneticsPrecision MedicineBiomedicinebusiness.industryGene Expression ProfilingCancerbioinformaticsmedicine.diseasePrecision medicinesignaling pathwaysGene Expression Regulation NeoplasticGene expression profilingmachine learning030104 developmental biologyCommentarybusinessSignal TransductionSeminars in Cancer Biology
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