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  1. Article ; Online: A specific module of ESCRT regulates STING activity termination by controlling STING degradation.

    Zhao, Yuan / Zhou, Chenxuan / Tian, Wenmin / Chen, Yang / Zhao, Chongchong / Li, Yan / Wang, Shixuan / Rong, Yueguang

    Science bulletin

    2024  Volume 69, Issue 8, Page(s) 1000–1005

    MeSH term(s) Signal Transduction ; Membrane Proteins/metabolism ; Endosomal Sorting Complexes Required for Transport/genetics
    Chemical Substances Membrane Proteins ; Endosomal Sorting Complexes Required for Transport
    Language English
    Publishing date 2024-01-05
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 2816140-3
    ISSN 2095-9281 ; 2095-9273
    ISSN (online) 2095-9281
    ISSN 2095-9273
    DOI 10.1016/j.scib.2024.01.005
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Mapping tree species diversity of temperate forests using multi-temporal Sentinel-1 and -2 imagery

    Yanbiao Xi / Wenmin Zhang / Martin Brandt / Qingjiu Tian / Rasmus Fensholt

    Science of Remote Sensing, Vol 8, Iss , Pp 100094- (2023)

    2023  

    Abstract: Accurate information on tree species diversity is critical for forest biodiversity, conservation and management, but mapping forest diversity over large and mixed forest areas using satellite remote sensing data remains a challenge because of scale- and ... ...

    Abstract Accurate information on tree species diversity is critical for forest biodiversity, conservation and management, but mapping forest diversity over large and mixed forest areas using satellite remote sensing data remains a challenge because of scale- and ecosystem-dependent relationships between spectral heterogeneity and tree species diversity. In this study, three different diversity indices (Simpson (λ), Shannon (H’), and Pielou (J’)), were tested to characterize forest tree species diversity using individual monthly and multi-temporal Sentinel-1 and -2 images during 2021. The performance of three different machine learning models, Random Forest (RF), Extreme Gradient Boosting (XGB), and Deep Neural Network (DNN) were tested. A collection of 1,020 plot measurements (comprising 47 tree species and 28,122 trees), randomly collected in a mixed broadleaf-conifer forest area in northeast China, was used to train (n = 816) and validate (n = 204) the models. The models dependent on multi-temporal Sentinel-1/2 imagery were found to outperform the models based on individual monthly data, in predicting forest tree species diversity, with average accuracies of 78% for H’, 77% for λ and 77% for J’. The use of DNN performed marginally better than the XGB and RF models, with accuracies of 81% for H’, 80% for λ and 79% for J’, respectively. Finally, a boosted regression model, involving environmental variable predictors and the DNN-based estimated tree species diversity, showed that on average 63 ± 4% of the spatial variations of tree species diversity was explained by environmental variables, including annual temperature (29.30%), followed by soil fertility (27.03%), snow cover (13.63%) and a digital elevation model (12.33%). Our results highlight that an empirical approach based on machine learning and multi-temporal Sentinel-1/2 data can accurately predict forest tree species diversity and we further show the important roles of air temperature and soil fertility in governing the spatial variability of tree species ...
    Keywords Forest diversity ; Sentinel-1&2 ; Deep neural network ; Mixed broadleaf-conifer forest ; Physical geography ; GB3-5030 ; Science ; Q
    Subject code 333 ; 580
    Language English
    Publishing date 2023-12-01T00:00:00Z
    Publisher Elsevier
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  3. Article ; Online: Proteomics of Serum Samples for the Exploration of the Pathological Mechanism of Obstetric Antiphospholipid Syndrome.

    Zhang, Yinmei / Jin, Shangjia / Tian, Wenmin / Shi, Dongxue / Chen, Yang / Cui, Liyan / Zheng, Jiajia

    Journal of proteome research

    2023  Volume 23, Issue 1, Page(s) 289–300

    Abstract: Obstetric antiphospholipid syndrome (OAPS) is a multisystem disorder characterized by thrombosis or recurrent fetal loss. In this study, we aim to explore the pathological mechanism of OAPS. Herein, we carried out data-independent acquisition (DIA) mass ... ...

    Abstract Obstetric antiphospholipid syndrome (OAPS) is a multisystem disorder characterized by thrombosis or recurrent fetal loss. In this study, we aim to explore the pathological mechanism of OAPS. Herein, we carried out data-independent acquisition (DIA) mass spectrometry quantitative proteomic analysis of serum samples from OAPS patients and healthy controls. A set of 93 differentially expressed proteins was identified, including 75 upregulated and 18 downregulated proteins compared with the levels in controls. Those proteins are enriched in KEGG pathways related to autoimmune diseases, allergic diseases, and pathogen infection. Interestingly, metabolic pathways such as fatty acid degradation and type I diabetes were enriched, indicating that OAPS is metabolic disease related. The significantly increased triglyceride also supported this idea. The differentially expressed proteins insulin-like growth factor-binding protein-1 (IGFBP-1), C-reactive protein (CRP), and ferritin light chain (FTL) were validated by ELISA. Our study presented a deep serum proteomics of OAPS and advanced our understanding of OAPS pathogenesis.
    MeSH term(s) Pregnancy ; Female ; Humans ; Antiphospholipid Syndrome ; Antibodies, Antiphospholipid ; Proteomics ; Pregnancy Complications ; Thrombosis
    Chemical Substances Antibodies, Antiphospholipid
    Language English
    Publishing date 2023-12-04
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2078618-9
    ISSN 1535-3907 ; 1535-3893
    ISSN (online) 1535-3907
    ISSN 1535-3893
    DOI 10.1021/acs.jproteome.3c00554
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: The reduced mortality of malignant melanoma at the population level is mainly attributable to treatment advances for the past decade.

    Li, Si / Tang, Tian / Han, Jianglong / Liu, Wenmin / Chen, Ruyan / Deng, Haiyu / Jian, Tingting / Fu, Zhenming

    Cancer epidemiology

    2024  Volume 88, Page(s) 102515

    Abstract: Background: Cutaneous malignant melanoma (CMM) causes most skin cancer deaths in the United States (US). The mortality has been decreasing in the US population. We hypothesize that this population-level reduction is mainly attributable to the treatment ... ...

    Abstract Background: Cutaneous malignant melanoma (CMM) causes most skin cancer deaths in the United States (US). The mortality has been decreasing in the US population. We hypothesize that this population-level reduction is mainly attributable to the treatment advances, rather than the successful primary and secondary prevention.
    Methods: Using data from the Surveillance, Epidemiology, and End Results (SEER) databases, we collected the incidence, incidence-based mortality (IBM), and 5-year survival (5-YS) rates of CMM from 1994 to 2019. Trends by stage and sex were examined by joinpoint regression analyses and age-period-cohort analyses.
    Results: The overall incidence of CMM rose by 1.6% yearly from 1994 to 2006 (95% confidence interval [CI]: 0.9% to 2.2%) and then increased with a numerical trend. And we projected the incidence will continue to increase until 2029. In contrast, the IBM for all CMM has decreased yearly by 2.8% (95% CI: -3.9% to -1.8%) since 2010 after continuously increasing by 3.8% annually (95% CI: 3.2% to 4.4%) from 1996 to 2010. For early-stage (localized and regional) CMM, we found the incidence since 2005 plateaued without further increase, while the incidence for CMM at distant stage continuously increased by 1.4% per year (95% CI: 0.9% to 2.0%). Improvements in 5-YS were observed over the study period for all CMM and were most obvious in distant stage. And significant period effects were noted around the year 2010.
    Conclusion: This study demonstrated improved survival and reduced mortality of CMM at the US population level since 2010, which were consistent with the introduction of novel therapies. Encouraging effects of primary prevention among adolescents in the most recent cohorts were found. However, the plateaued overall incidence and early diagnosis rates indicated that advances in primary and secondary prevention are very much needed to further control the burden of CMM.
    MeSH term(s) Adolescent ; Humans ; United States/epidemiology ; Melanoma/epidemiology ; Melanoma/therapy ; Melanoma/diagnosis ; Skin Neoplasms/epidemiology ; Skin Neoplasms/therapy ; Skin Neoplasms/diagnosis ; Incidence ; Forecasting ; Regression Analysis
    Language English
    Publishing date 2024-01-04
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 2508729-0
    ISSN 1877-783X ; 1877-7821
    ISSN (online) 1877-783X
    ISSN 1877-7821
    DOI 10.1016/j.canep.2023.102515
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article: Umbelliferone and scopoletin target tyrosine kinases on fibroblast-like synoviocytes to block NF-κB signaling to combat rheumatoid arthritis.

    Chen, Qilei / Zhou, Wenmin / Huang, Yueming / Tian, Yuanyang / Wong, Sum Yi / Lam, Wing Ki / Ying, Ka Yee / Zhang, Jianye / Chen, Hubiao

    Frontiers in pharmacology

    2022  Volume 13, Page(s) 946210

    Abstract: Rheumatoid arthritis (RA) is a complex autoimmune condition primarily affecting synovial joints, which targeted synthetic drugs have damaging safety issues. ...

    Abstract Rheumatoid arthritis (RA) is a complex autoimmune condition primarily affecting synovial joints, which targeted synthetic drugs have damaging safety issues.
    Language English
    Publishing date 2022-07-25
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2587355-6
    ISSN 1663-9812
    ISSN 1663-9812
    DOI 10.3389/fphar.2022.946210
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Deep proteomic analysis of obstetric antiphospholipid syndrome by DIA-MS of extracellular vesicle enriched fractions.

    Tian, Wenmin / Shi, Dongxue / Zhang, Yinmei / Wang, Hongli / Tang, Haohao / Han, Zhongyu / Wong, Catherine C L / Cui, Liyan / Zheng, Jiajia / Chen, Yang

    Communications biology

    2024  Volume 7, Issue 1, Page(s) 99

    Abstract: Proteins in the plasma/serum mirror an individual's physiology. Circulating extracellular vesicles (EVs) proteins constitute a large portion of the plasma/serum proteome. Thus, deep and unbiased proteomic analysis of circulating plasma/serum ... ...

    Abstract Proteins in the plasma/serum mirror an individual's physiology. Circulating extracellular vesicles (EVs) proteins constitute a large portion of the plasma/serum proteome. Thus, deep and unbiased proteomic analysis of circulating plasma/serum extracellular vesicles holds promise for discovering disease biomarkers as well as revealing disease mechanisms. We established a workflow for simple, deep, and reproducible proteome analysis of both serum large and small EVs enriched fractions by ultracentrifugation plus 4D-data-independent acquisition mass spectrometry (4D-DIA-MS). In our cohort study of obstetric antiphospholipid syndrome (OAPS), 4270 and 3328 proteins were identified from large and small EVs enriched fractions respectively. Both of them revealed known or new pathways related to OAPS. Increased levels of von Willebrand factor (VWF) and insulin receptor (INSR) were identified as candidate biomarkers, which shed light on hypercoagulability and abnormal insulin signaling in disease progression. Our workflow will significantly promote our understanding of plasma/serum-based disease mechanisms and generate new biomarkers.
    MeSH term(s) Pregnancy ; Female ; Humans ; Proteome/metabolism ; Proteomics/methods ; Antiphospholipid Syndrome/metabolism ; Cohort Studies ; Biomarkers ; Extracellular Vesicles/metabolism
    Chemical Substances Proteome ; Biomarkers
    Language English
    Publishing date 2024-01-15
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ISSN 2399-3642
    ISSN (online) 2399-3642
    DOI 10.1038/s42003-024-05789-3
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Hazards and Improvement Measures of Microplastic Pollution

    Gan Quan / Tian Jinxiao / Li Zhixin / Mi Shiyu / Wang Wenmin

    E3S Web of Conferences, Vol 257, p

    A Review

    2021  Volume 03006

    Abstract: Microplastics is one category of plastics with relatively small diameter and is considered as the common ingredient of waste accumulation zone in oceans. However, since countless plastic products are emitted into oceans annually as waste all around the ... ...

    Abstract Microplastics is one category of plastics with relatively small diameter and is considered as the common ingredient of waste accumulation zone in oceans. However, since countless plastic products are emitted into oceans annually as waste all around the world, pollution caused by them is severe and the resulting problems have attracted attention globally, while current policies and cooperation around the globe for tackling microplastics pollution still need to be improved. To deal with microplatics-related problems in the ocean, our review first discussed the toxicity of microplastics based on previous research related to marine microplastics, which was caused by the plastics themselves and their leaching substances with impacts on marine creatures and human body along the food chain. After summarizing some measures that have been already performed, we suggested that the authority should take more actions to mitigate those problems resulted from microplastics, pay more attention on researching, and encourage citizens to offer their proposals. By finally analyzing the advantages and disadvantages of different handling methods, as well as physical, chemical, and biological treatment technologies on oceanic microplastic issues, our work provided experience on disposing microplastics waste under various actual situations with an example for more holistic waste treatment.
    Keywords Environmental sciences ; GE1-350
    Subject code 333
    Language English
    Publishing date 2021-01-01T00:00:00Z
    Publisher EDP Sciences
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  8. Article ; Online: Remarkable contamination characteristics, potential hazards and source apportionment of heavy metals in surface dust of kindergartens in a northern megacity of China.

    Wang, Peng / Han, Guilin / Hu, Jian / Zhang, Qian / Tian, Liyan / Wang, Lingqing / Liu, Tingyi / Ma, Wenmin / Li, Jun / Zheng, Houyi

    Journal of hazardous materials

    2023  Volume 465, Page(s) 133295

    Abstract: It is essential to understand the impact of heavy metals (HMs) present in the surface dust (SD) of kindergartens on children, who are highly sensitive to contaminated dust in cities in their growth stage. A study was conducted on 11 types of HMs present ... ...

    Abstract It is essential to understand the impact of heavy metals (HMs) present in the surface dust (SD) of kindergartens on children, who are highly sensitive to contaminated dust in cities in their growth stage. A study was conducted on 11 types of HMs present in the SD of 73 kindergartens in Beijing. This study aims to assess the pollution levels and sources of eleven HMs in Beijing's kindergartens surface dust (KSD), and estimate the potential health risks in different populations and sources. The results indicate that Cd has the highest contamination in the KSD, followed by Pb, Zn, Ni, Ba, Cr, and Cu. The sources of these pollutants are identified as industrial sources (23.7%), natural sources (22.1%), traffic sources (30.4%), and construction sources (23.9%). Cancer risk is higher in children (4.02E-06) than in adults (8.93E-06). Notably, Cr is the priority pollutant in the KSD, and industrial and construction activities are the main sources of pollution that need to be controlled. The pollution in the central and surrounding areas is primarily caused by historical legacy industrial sites, transportation, urban development, and climate conditions. This work provides guidance to manage the pollution caused by HMs in the KSD of Beijing. ENVIRONMENTAL IMPLICATION: Children within urban populations are particularly sensitive to pollutants present in SD. Prolonged exposure to contaminated SD significantly heightens the likelihood of childhood illnesses. The pollution status and potential health risks of HMs within SD from urban kindergartens are comprehensively investigated. Additionally, the contributions from four primary sources are identified and quantified. Furthermore, a pollution-source-oriented assessment is adopted to clearly distinguish the diverse impacts of different sources on health risks, and the priority pollutants and sources are determined. This work holds pivotal importance for risk management, decision-making, and environmental control concerning HMs in KSD.
    MeSH term(s) Adult ; Child ; Humans ; Dust/analysis ; Environmental Monitoring ; Risk Assessment ; Metals, Heavy/analysis ; Environmental Pollutants/analysis ; Cities ; China ; Soil Pollutants/analysis
    Chemical Substances Dust ; Metals, Heavy ; Environmental Pollutants ; Soil Pollutants
    Language English
    Publishing date 2023-12-17
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 1491302-1
    ISSN 1873-3336 ; 0304-3894
    ISSN (online) 1873-3336
    ISSN 0304-3894
    DOI 10.1016/j.jhazmat.2023.133295
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Proteogenomics Integrating Novel Junction Peptide Identification Strategy Discovers Three Novel Protein Isoforms of Human NHSL1 and EEF1B2.

    He, Cuitong / Guo, Jiangtao / Tian, Wenmin / Wong, Catherine C L

    Journal of proteome research

    2021  Volume 20, Issue 12, Page(s) 5294–5303

    Abstract: In eukaryotes, alternative pre-mRNA splicing allows a single gene to encode different protein isoforms that function in many biological processes, and they are used as biomarkers or therapeutic targets for diseases. Although protein isoforms in the human ...

    Abstract In eukaryotes, alternative pre-mRNA splicing allows a single gene to encode different protein isoforms that function in many biological processes, and they are used as biomarkers or therapeutic targets for diseases. Although protein isoforms in the human genome are well annotated, we speculate that some low-abundance protein isoforms may still be under-annotated because most genes have a primary coding product and alternative protein isoforms tend to be under-expressed. A peptide coencoded by a novel exon and an annotated exon separated by an intron is known as a novel junction peptide. In the absence of known transcripts and homologous proteins, traditional whole-genome six-frame translation-based proteogenomics cannot identify novel junction peptides, and it cannot capture novel alternative splice sites. In this article, we first propose a strategy and tool for identifying novel junction peptides, called CJunction, which we then integrate into a proteogenomics process specifically designed for novel protein isoform discovery and apply to the analysis of a deep-coverage HeLa mass spectrometry data set with identifier PXD004452 in ProteomeXchange. We succeeded in identifying and validating three novel protein isoforms of two functionally important genes, NHSL1 (causative gene of Nance-Horan syndrome) and EEF1B2 (translation elongation factor), which validate our hypothesis. These novel protein isoforms have significant sequence differences from the annotated gene-coding products introduced by the novel N-terminal, suggesting that they may play importantly different functions.
    MeSH term(s) Alternative Splicing ; Genome, Human ; Guanine Nucleotide Exchange Factors/genetics ; Guanine Nucleotide Exchange Factors/metabolism ; Humans ; Mass Spectrometry ; Peptide Elongation Factor 1/genetics ; Peptide Elongation Factor 1/metabolism ; Peptides/chemistry ; Protein Isoforms/genetics ; Protein Isoforms/metabolism ; Proteins/genetics ; Proteins/metabolism ; Proteogenomics/methods
    Chemical Substances Guanine Nucleotide Exchange Factors ; NHSL1 protein, human ; Peptide Elongation Factor 1 ; Peptides ; Protein Isoforms ; Proteins ; eEF1B-beta protein, human
    Language English
    Publishing date 2021-08-21
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2078618-9
    ISSN 1535-3907 ; 1535-3893
    ISSN (online) 1535-3907
    ISSN 1535-3893
    DOI 10.1021/acs.jproteome.1c00373
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Quantifying understory vegetation density using multi-temporal Sentinel-2 and GEDI LiDAR data

    Xi, Yanbiao / Tian, Qingjiu / Zhang, Wenmin / Zhang, Zhichao / Tong, Xiaoye / Brandt, Martin / Fensholt, Rasmus

    GIScience & Remote Sensing. 2022 Dec. 31, v. 59, no. 1 p.2068-2083

    2022  

    Abstract: Understory vegetation contributes considerably to biodiversity and total aboveground biomass of forest ecosystems. Whereas field inventories and LiDAR data are generally used to estimate understory vegetation density, methods for large-scale and ... ...

    Abstract Understory vegetation contributes considerably to biodiversity and total aboveground biomass of forest ecosystems. Whereas field inventories and LiDAR data are generally used to estimate understory vegetation density, methods for large-scale and spatially continuous estimation of understory vegetation density are still lacking. For an evergreen coniferous forest area in southern China, we developed and tested an effective and practical remote sensing-driven approach for mapping understory vegetation, based on phenological differences between over and understory vegetation. Specifically, we used plant area volume density (PAVD) calculations based on GEDI data to train a support vector regression model and subsequently estimated the understory vegetation density from Sentinel-2 derived metrics. We produced maps of PAVD for the growing and non-growing season respectively, both performing well compared against independent GEDI samples (R² = 0.89 and 0.93, p < 0.01). Understory vegetation density was derived from the differences in PAVD between the growing and non-growing season. The understory vegetation density map was validated against field samples from 86 plots showing an overall R² of 0.52 (p < 0.01), rRMSE = 21%. Our study developed a tangible approach to map spatially continuous understory vegetation density with the combination of GEDI LiDAR data and Sentinel-2 imagery, showing the potential to improve the estimation of terrestrial carbon storage and better understand forest ecosystem processes across larger areas.
    Keywords aboveground biomass ; biodiversity ; carbon sequestration ; coniferous forests ; forest ecosystems ; lidar ; phenology ; regression analysis ; understory ; China ; Understory vegetation ; GEDI LiDAR data ; plant area volume density ; support vector regression
    Language English
    Dates of publication 2022-1231
    Size p. 2068-2083.
    Publishing place Taylor & Francis
    Document type Article ; Online
    ZDB-ID 2209042-3
    ISSN 1943-7226 ; 1548-1603
    ISSN (online) 1943-7226
    ISSN 1548-1603
    DOI 10.1080/15481603.2022.2148338
    Database NAL-Catalogue (AGRICOLA)

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