LIVIVO - The Search Portal for Life Sciences

zur deutschen Oberfläche wechseln
Advanced search

Search results

Result 1 - 10 of total 196

Search options

  1. Book: Liquid biopsies

    Huang, Tao / Yang, Jialiang / Tian, Geng

    methods and protocols

    (Methods in molecular biology ; 2695 ; Springer protocols)

    2023  

    Author's details edited by Tao Huang, Jialiang Yang, Geng Tian
    Series title Methods in molecular biology ; 2695
    Springer protocols
    Collection
    Keywords Biopsy ; Cancer/Diagnosis
    Subject code 616.0758
    Language English
    Size xiii, 368 Seiten, Illustrationen, 26 cm
    Publisher Humana Press
    Publishing place New York, NY
    Publishing country United States
    Document type Book
    HBZ-ID HT030074171
    ISBN 978-1-0716-3345-8 ; 9781071633465 ; 1-0716-3345-7 ; 1071633465
    Database Catalogue ZB MED Medicine, Health

    More links

    Kategorien

    In stock of ZB MED Cologne/Königswinter

    Shelf markLoan statusLocation
    Zs A 7042 -2695- not available for loan Lesesaal EG

    Order via subito

    This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.

  2. Book ; Online: Bioinformatics Analysis of Single Cell Sequencing Data and Applications in Precision Medicine

    Yang, Jialiang / Bo, Liao / Zhang, Tuo / Xu, Yifei

    2020  

    Keywords Science: general issues ; Medical genetics ; single cell RNA sequencing ; bioinformatics ; precision medicine ; cell cluster ; trajectory analyses
    Size 1 electronic resource (136 pages)
    Publisher Frontiers Media SA
    Document type Book ; Online
    Note English ; Open Access
    HBZ-ID HT021230736
    ISBN 9782889635283 ; 2889635287
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

    More links

    Kategorien

    Order via subito

    This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.

    Inter-library loan at ZB MED

    Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

  3. Article ; Online: Study on Air Pollutant Emission Inventory for Offshore Fishery Resources Survey

    Rao Xin / Huang Hongliang / Li Lingzhi / Yang Jialiang

    E3S Web of Conferences, Vol 406, p

    2023  Volume 03043

    Abstract: With the promotion of reform in various fields and the release of vitality of fishery development, Chinese fishery has achieved sustained and rapid development. Today, China has become one of the largest fishing countries, with abundant offshore and ... ...

    Abstract With the promotion of reform in various fields and the release of vitality of fishery development, Chinese fishery has achieved sustained and rapid development. Today, China has become one of the largest fishing countries, with abundant offshore and pelagic fishing routes, and a large number of vessels. The result is more and more pollutants emitted by vessels, which seriously affects the air quality of the surrounding environment. In this paper, a survey of offshore fishery resources in the East China Sea in 2020 was selected as the research object. The emission factors were summarized combined with the existing research results. The operation status of the survey was divided, and the calculation flow chart of air pollutant emissions was established, finally the emission inventory was estimated. The sharing rate of main/auxiliary engine and different operation status was discussed. The research data is the basement for the green, energy-saving, low-carbon and sustainable development of fishery in the future.
    Keywords Environmental sciences ; GE1-350
    Language English
    Publishing date 2023-01-01T00:00:00Z
    Publisher EDP Sciences
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    Full text online

    More links

    Kategorien

    Inter-library loan at ZB MED

    Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

  4. Article ; Online: Virtual Water Embodied in Interregional Energy Trade in China: A City-Level Analysis.

    Jin, Yi / Feng, Cuiyang / Yuan, Rong / Yang, Jialiang / Behrens, Paul

    Environmental science & technology

    2024  Volume 58, Issue 18, Page(s) 7838–7848

    Abstract: Large volumes of water are used in energy production for both primary (e.g., fuel extraction) and secondary energy (e.g., electricity). In countries such as China, with a large internal trade in fuels and long-distance transmission grids, this can result ...

    Abstract Large volumes of water are used in energy production for both primary (e.g., fuel extraction) and secondary energy (e.g., electricity). In countries such as China, with a large internal trade in fuels and long-distance transmission grids, this can result in considerable water inequalities. Previous research focused on the water impacts of energy production at the national and provincial levels, which is too coarse to identify the spatial differences and make specific case studies. Here, we take the next step toward a spatially explicit economically integrated water-use for energy assessment by combining a bottom-up assessment approach with a city-level multiregional input-output model. Specifically, we examine the water consumption of energy production in China, distinguishing between water for primary and secondary energy at the level of coal mines, oil and gas fields, and power plants for the first time. Of the total energy-related freshwater consumption of 4.9 Gm
    MeSH term(s) China ; Cities ; Power Plants ; Water
    Chemical Substances Water (059QF0KO0R)
    Language English
    Publishing date 2024-04-24
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ISSN 1520-5851
    ISSN (online) 1520-5851
    DOI 10.1021/acs.est.3c10455
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

    Order via subito

    This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.

    Inter-library loan at ZB MED

    Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

  5. Article: Editorial: Bioinformatics analysis tools for nanopore sequencing and applications.

    Lang, Jidong / Yang, Jialiang / Xu, Miao

    Frontiers in bioengineering and biotechnology

    2023  Volume 11, Page(s) 1189769

    Language English
    Publishing date 2023-03-28
    Publishing country Switzerland
    Document type Editorial
    ZDB-ID 2719493-0
    ISSN 2296-4185
    ISSN 2296-4185
    DOI 10.3389/fbioe.2023.1189769
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

    Order via subito

    This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.

  6. Article ; Online: Emvirus: An embedding-based neural framework for human-virus protein-protein interactions prediction.

    Xie, Pengfei / Zhuang, Jujuan / Tian, Geng / Yang, Jialiang

    Biosafety and health

    2023  Volume 5, Issue 3, Page(s) 152–158

    Abstract: Human-virus protein-protein interactions (PPIs) play critical roles in viral infection. For example, the spike protein of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) binds primarily to human angiotensin-converting enzyme 2 (ACE2) protein ...

    Abstract Human-virus protein-protein interactions (PPIs) play critical roles in viral infection. For example, the spike protein of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) binds primarily to human angiotensin-converting enzyme 2 (ACE2) protein to infect human cells. Thus, identifying and blocking these PPIs contribute to controlling and preventing viruses. However, wet-lab experiment-based identification of human-virus PPIs is usually expensive, labor-intensive, and time-consuming, which presents the need for computational methods. Many machine-learning methods have been proposed recently and achieved good results in predicting human-virus PPIs. However, most methods are based on protein sequence features and apply manually extracted features, such as statistical characteristics, phylogenetic profiles, and physicochemical properties. In this work, we present an embedding-based neural framework with convolutional neural network (CNN) and bi-directional long short-term memory unit (Bi-LSTM) architecture, named Emvirus, to predict human-virus PPIs (including human-SARS-CoV-2 PPIs). In addition, we conduct cross-viral experiments to explore the generalization ability of Emvirus. Compared to other feature extraction methods, Emvirus achieves better prediction accuracy.
    Language English
    Publishing date 2023-04-28
    Publishing country Netherlands
    Document type Journal Article
    ISSN 2590-0536
    ISSN (online) 2590-0536
    DOI 10.1016/j.bsheal.2023.04.003
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

    Order via subito

    This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.

    Inter-library loan at ZB MED

    Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

  7. Article: The impact of value co-creation on consumer citizenship behavior: Based on consumer perspective.

    Yang, Jialiang / Ren, Jifan / Zhao, Meihui / Chen, Haoyu / Wang, Huihan

    Frontiers in psychology

    2023  Volume 13, Page(s) 1110011

    Abstract: This research investigated the value co-creation behaviors in livestreaming platforms and the internal mechanism of perceived value on consumer value co-creation behavior on the short-video platform TikTok. This research selected the Tiktok platform as ... ...

    Abstract This research investigated the value co-creation behaviors in livestreaming platforms and the internal mechanism of perceived value on consumer value co-creation behavior on the short-video platform TikTok. This research selected the Tiktok platform as the research object, and uses structural equation model to analyze consumer data. The results indicated that consumer-perceived value mediates the relationship between consumer engagement and citizenship behaviors. In addition, short-video platforms exhibit significant community attributes, and interactive behavior forms the primary part of consumer engagement that enhances the perceived value. Consumers join short-video platforms to look for communities that interest them. Consumers' responses generate the perceived value. Thus, it enhances consumers' intentions to continue using a particular service, which then increases the likelihood of citizenship behavior. This study also found that consumers' creative behavior in short-video platforms embodies social and functional values. This suggested that consumers of livestreaming and short-video platforms such as TikTok tend to seek social recognition by sharing their opinions or daily lives. The examination of the mediating role of perceived value on the relationship between consumer engagement behavior and citizenship behavior revealed that perceived value significantly mediated the relationship between consumer engagement behavior and citizenship behavior. This provided evidence of the fact that consumers usually actively participate on the platform by uploading content and sharing their creations, with the motivation to generate significant social impact and gain the recognition of others. Firstly, TikTok's consumers deeply engage on platforms in which their cognitive messages are integrated into the platform through interacting with others, browsing, and creating short videos. Secondly, TikTok provides a channel with high level of interactivity that facilitates social interaction among strangers. Video uploaders and fans develop positive interactive relationships. Thirdly, TikTok viewers may become video providers at some point; the act of co-creation creates economic value for the platform and generates emotional, functional, and social values for its consumers.
    Language English
    Publishing date 2023-01-26
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2563826-9
    ISSN 1664-1078
    ISSN 1664-1078
    DOI 10.3389/fpsyg.2022.1110011
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

    Order via subito

    This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.

  8. Article: PGAGP: Predicting pathogenic genes based on adaptive network embedding algorithm.

    Zhang, Yan / Xiang, Ju / Tang, Liang / Yang, Jialiang / Li, Jianming

    Frontiers in genetics

    2023  Volume 13, Page(s) 1087784

    Abstract: The study of disease-gene associations is an important topic in the field of computational biology. The accumulation of massive amounts of biomedical data provides new possibilities for exploring potential relations between diseases and genes through ... ...

    Abstract The study of disease-gene associations is an important topic in the field of computational biology. The accumulation of massive amounts of biomedical data provides new possibilities for exploring potential relations between diseases and genes through computational strategy, but how to extract valuable information from the data to predict pathogenic genes accurately and rapidly is currently a challenging and meaningful task. Therefore, we present a novel computational method called PGAGP for inferring potential pathogenic genes based on an adaptive network embedding algorithm. The PGAGP algorithm is to first extract initial features of nodes from a heterogeneous network of diseases and genes efficiently and effectively by Gaussian random projection and then optimize the features of nodes by an adaptive refining process. These low-dimensional features are used to improve the disease-gene heterogenous network, and we apply network propagation to the improved heterogenous network to predict pathogenic genes more effectively. By a series of experiments, we study the effect of PGAGP's parameters and integrated strategies on predictive performance and confirm that PGAGP is better than the state-of-the-art algorithms. Case studies show that many of the predicted candidate genes for specific diseases have been implied to be related to these diseases by literature verification and enrichment analysis, which further verifies the effectiveness of PGAGP. Overall, this work provides a useful solution for mining disease-gene heterogeneous network to predict pathogenic genes more effectively.
    Language English
    Publishing date 2023-01-20
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2606823-0
    ISSN 1664-8021
    ISSN 1664-8021
    DOI 10.3389/fgene.2022.1087784
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

    Order via subito

    This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.

  9. Article ; Online: Transcriptome analysis reveals genes connected to temperature adaptation in juvenile antarctic krill Euphausia superba.

    Liu, Yongliang / Li, Lingzhi / Yang, Jialiang / Huang, Hongliang / Song, Wei

    Genes & genomics

    2023  Volume 45, Issue 8, Page(s) 1063–1071

    Abstract: Background: The Antarctic krill, Euphausia superba (E. superba), is a key organism in the Antarctic marine ecosystem and has been widely studied. However, there is a lack of transcriptome data focusing on temperature responses.: Methods: In this ... ...

    Abstract Background: The Antarctic krill, Euphausia superba (E. superba), is a key organism in the Antarctic marine ecosystem and has been widely studied. However, there is a lack of transcriptome data focusing on temperature responses.
    Methods: In this study, we performed transcriptome sequencing of E. superba samples exposed to three different temperatures: -1.19 °C (low temperature, LT), - 0.37 °C (medium temperature, MT), and 3 °C (high temperature, HT).
    Results: Illumina sequencing generated 772,109,224 clean reads from the three temperature groups. In total, 1,623, 142, and 842 genes were differentially expressed in MT versus LT, HT versus LT, and HT versus MT, respectively. Moreover, Kyoto Encyclopedia of Genes and Genomes analysis revealed that these differentially expressed genes were mainly involved in the Hippo signaling pathway, MAPK signaling pathway, and Toll-like receptor signaling pathway. Quantitative reverse-transcription PCR revealed that ESG037073 expression was significantly upregulated in the MT group compared with the LT group, and ESG037998 expression was significantly higher in the HT group than in the LT group.
    Conclusions: This is the first transcriptome analysis of E. superba exposed to three different temperatures. Our results provide valuable resources for further studies on the molecular mechanisms underlying temperature adaptation in E. superba.
    MeSH term(s) Animals ; Temperature ; Euphausiacea/genetics ; Euphausiacea/metabolism ; Ecosystem ; Gene Expression Profiling ; Transcriptome
    Language English
    Publishing date 2023-06-10
    Publishing country Korea (South)
    Document type Journal Article
    ZDB-ID 2504587-8
    ISSN 2092-9293 ; 1976-9571
    ISSN (online) 2092-9293
    ISSN 1976-9571
    DOI 10.1007/s13258-023-01377-7
    Database MEDical Literature Analysis and Retrieval System OnLINE

    Full text online

    More links

    Kategorien

    Order via subito

    This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.

  10. Article: A Systematic Framework for Identifying Prognostic Genes in the Tumor Microenvironment of Colon Cancer.

    Liu, Jinyang / Lan, Yu / Tian, Geng / Yang, Jialiang

    Frontiers in oncology

    2022  Volume 12, Page(s) 899156

    Abstract: As one of the most common cancers of the digestive system, colon cancer is a predominant cause of cancer-related deaths worldwide. To investigate prognostic genes in the tumor microenvironment of colon cancer, we collected 461 colon adenocarcinoma (COAD) ...

    Abstract As one of the most common cancers of the digestive system, colon cancer is a predominant cause of cancer-related deaths worldwide. To investigate prognostic genes in the tumor microenvironment of colon cancer, we collected 461 colon adenocarcinoma (COAD) and 172 rectal adenocarcinoma (READ) samples from The Cancer Genome Atlas (TCGA) database, and calculated the stromal and immune scores of each sample. We demonstrated that stromal and immune scores were significantly associated with colon cancer stages. By analyzing differentially expressed genes (DEGs) between two stromal and immune score groups, we identified 952 common DEGs. The significantly enriched Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) terms for these DEGs were associated with T-cell activation, immune receptor activity, and cytokine-cytokine receptor interaction. Through univariate Cox regression analysis, we identified 22 prognostic genes. Furthermore, nine key prognostic genes, namely,
    Language English
    Publishing date 2022-05-19
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2649216-7
    ISSN 2234-943X
    ISSN 2234-943X
    DOI 10.3389/fonc.2022.899156
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

    Order via subito

    This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.

To top