Search Results - "Proteomics (Weinheim)"

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  1. 1

    Data‐Independent Acquisition Mass Spectrometry‐Based Proteomics and Software Tools: A Glimpse in 2020 by Zhang, Fangfei, Ge, Weigang, Ruan, Guan, Cai, Xue, Guo, Tiannan

    Published in Proteomics (Weinheim) (01-09-2020)
    “…This review provides a brief overview of the development of data‐independent acquisition (DIA) mass spectrometry‐based proteomics and selected DIA data…”
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  2. 2

    Exosomes in Inflammation and Inflammatory Disease by Chan, Brandon Dow, Wong, Wing‐Yan, Lee, Magnolia Muk‐Lan, Cho, William Chi‐Shing, Yee, Benjamin K., Kwan, Yiu Wa, Tai, William Chi‐Shing

    Published in Proteomics (Weinheim) (01-04-2019)
    “…Exosomes are a subset of extracellular vesicles released by all cell types and involved in local and systemic intercellular communication. In the past decade,…”
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  3. 3

    Exosomes Derived from Human Primary and Metastatic Colorectal Cancer Cells Contribute to Functional Heterogeneity of Activated Fibroblasts by Reprogramming Their Proteome by Rai, Alin, Greening, David W., Chen, Maoshan, Xu, Rong, Ji, Hong, Simpson, Richard J.

    Published in Proteomics (Weinheim) (01-04-2019)
    “…Cancer‐associated fibroblasts (CAFs) are a heterogeneous population of activated fibroblasts that constitute a dominant cellular component of the tumor…”
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  4. 4

    Protein Function Prediction: From Traditional Classifier to Deep Learning by Lv, Zhibin, Ao, Chunyan, Zou, Quan

    Published in Proteomics (Weinheim) (01-07-2019)
    “…Deep learning demonstrates greater competence over traditional machine learning techniques for many tasks. In last several years, deep learning has been…”
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  5. 5

    DeepFunc: A Deep Learning Framework for Accurate Prediction of Protein Functions from Protein Sequences and Interactions by Zhang, Fuhao, Song, Hong, Zeng, Min, Li, Yaohang, Kurgan, Lukasz, Li, Min

    Published in Proteomics (Weinheim) (01-06-2019)
    “…Annotation of protein functions plays an important role in understanding life at the molecular level. High‐throughput sequencing produces massive numbers of…”
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  6. 6

    ProSight Lite: Graphical software to analyze top‐down mass spectrometry data by Fellers, Ryan T., Greer, Joseph B., Early, Bryan P., Yu, Xiang, LeDuc, Richard D., Kelleher, Neil L., Thomas, Paul M.

    Published in Proteomics (Weinheim) (01-04-2015)
    “…Many top‐down proteomics experiments focus on identifying and localizing PTMs and other potential sources of “mass shift” on a known protein sequence. A simple…”
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  7. 7

    Challenges and Opportunities in Cancer Metabolomics by Kumar, Ashish, Misra, Biswapriya B.

    Published in Proteomics (Weinheim) (01-11-2019)
    “…Challenges in metabolomics for a given spectrum of disease are more or less comparable, ranging from the accurate measurement of metabolite abundance, compound…”
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  8. 8

    HPSLPred: An Ensemble Multi‐Label Classifier for Human Protein Subcellular Location Prediction with Imbalanced Source by Wan, Shixiang, Duan, Yucong, Zou, Quan

    Published in Proteomics (Weinheim) (01-09-2017)
    “…Predicting the subcellular localization of proteins is an important and challenging problem. Traditional experimental approaches are often expensive and…”
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  9. 9

    Integrative methods for analyzing big data in precision medicine by Gligorijevic, Vladimir, Malod-Dognin, Noël, Przulj, Natasa

    Published in Proteomics (Weinheim) (01-03-2016)
    “…We provide an overview of recent developments in big data analyses in the context of precision medicine and health informatics. With the advance in…”
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  10. 10

    Discovery and Validation of Clinical Biomarkers of Cancer: A Review Combining Metabolomics and Proteomics by Srivastava, Anubhav, Creek, Darren John

    Published in Proteomics (Weinheim) (01-05-2019)
    “…Early detection and diagnosis of cancer can allow timely medical intervention, which greatly improves chances of survival and enhances quality of life…”
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  11. 11

    Helicobacter pylori Growth Stage Determines the Size, Protein Composition, and Preferential Cargo Packaging of Outer Membrane Vesicles by Zavan, Lauren, Bitto, Natalie J, Johnston, Ella L., Greening, David W., Kaparakis‐Liaskos, Maria

    Published in Proteomics (Weinheim) (01-01-2019)
    “…Gram‐negative bacteria release outer membrane vesicles (OMVs) as part of their normal growth that contain a range of cargo from their parent bacterium,…”
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  12. 12

    Proteomic Signature of Mesenchymal Stromal Cell‐Derived Small Extracellular Vesicles by Balkom, Bas W. M., Gremmels, Hendrik, Giebel, Bernd, Lim, Sai Kiang

    Published in Proteomics (Weinheim) (01-01-2019)
    “…Small extracellular vesicles (EVs) are 50–200 nm vesicles secreted by most cells. They are considered as mediators of intercellular communication, and EVs from…”
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  13. 13
  14. 14

    GPX4 at the Crossroads of Lipid Homeostasis and Ferroptosis by Forcina, Giovanni C., Dixon, Scott J.

    Published in Proteomics (Weinheim) (01-09-2019)
    “…Oxygen is necessary for aerobic metabolism but can cause the harmful oxidation of lipids and other macromolecules. Oxidation of cholesterol and phospholipids…”
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  15. 15

    A tale of two lipids: Lipid unsaturation commands ferroptosis sensitivity by Rodencal, Jason, Dixon, Scott J.

    Published in Proteomics (Weinheim) (01-03-2023)
    “…Membrane lipids play important roles in the regulation of cell fate, including the execution of ferroptosis. Ferroptosis is a non‐apoptotic cell death…”
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  16. 16

    Integrating transcriptome and proteome profiling: Strategies and applications by Kumar, Dhirendra, Bansal, Gourja, Narang, Ankita, Basak, Trayambak, Abbas, Tahseen, Dash, Debasis

    Published in Proteomics (Weinheim) (01-10-2016)
    “…Discovering the gene expression signature associated with a cellular state is one of the basic quests in majority of biological studies. For most of the…”
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  17. 17

    Quantitative proteomics using SILAC: Principles, applications, and developments by Chen, Xiulan, Wei, Shasha, Ji, Yanlong, Guo, Xiaojing, Yang, Fuquan

    Published in Proteomics (Weinheim) (01-09-2015)
    “…SILAC is based on direct addition of selected stable isotope amino acids into the cell culture medium, allowing superior quantitative analysis of the cellular…”
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  18. 18

    Proteomic profiling of human plasma for cancer biomarker discovery by Huang, Zhao, Ma, Linguang, Huang, Canhua, Li, Qifu, Nice, Edouard C.

    Published in Proteomics (Weinheim) (01-03-2017)
    “…Over the past decades, substantial advances have been made in both the early diagnosis and accurate prognosis of many cancers because of the impressive…”
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  19. 19

    Omics in Systems Biology: Current Progress and Future Outlook by Veenstra, Timothy D.

    Published in Proteomics (Weinheim) (01-02-2021)
    “…Biological research has undergone tremendous changes over the past three decades. Research used to almost exclusively focus on a single aspect of a single…”
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  20. 20

    Leveraging transformers‐based language models in proteome bioinformatics by Le, Nguyen Quoc Khanh

    Published in Proteomics (Weinheim) (01-12-2023)
    “…In recent years, the rapid growth of biological data has increased interest in using bioinformatics to analyze and interpret this data. Proteomics, which…”
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