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  1. Article ; Online: T cell receptor sequences are the dominant factor contributing to the phenotype of CD8

    Chen, Daniel G / Xie, Jingyi / Su, Yapeng / Heath, James R

    Cell reports

    2024  Volume 43, Issue 2, Page(s) 113841

    Language English
    Publishing date 2024-02-10
    Publishing country United States
    Document type Published Erratum
    ZDB-ID 2649101-1
    ISSN 2211-1247 ; 2211-1247
    ISSN (online) 2211-1247
    ISSN 2211-1247
    DOI 10.1016/j.celrep.2024.113841
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article: Editorial: Systems biology and single-cell analysis of cancer metabolism and its role in cancer emergent properties.

    Jia, Dongya / Li, Xuefei / Su, Yapeng

    Frontiers in oncology

    2023  Volume 13, Page(s) 1217212

    Language English
    Publishing date 2023-05-31
    Publishing country Switzerland
    Document type Editorial
    ZDB-ID 2649216-7
    ISSN 2234-943X
    ISSN 2234-943X
    DOI 10.3389/fonc.2023.1217212
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Editorial

    Dongya Jia / Xuefei Li / Yapeng Su

    Frontiers in Oncology, Vol

    Systems biology and single-cell analysis of cancer metabolism and its role in cancer emergent properties

    2023  Volume 13

    Keywords systems biology ; single cell analyses ; cancer metabolism ; metabolic plasticity ; mathematical modeling ; Neoplasms. Tumors. Oncology. Including cancer and carcinogens ; RC254-282
    Language English
    Publishing date 2023-05-01T00:00:00Z
    Publisher Frontiers Media S.A.
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  4. Article ; Online: T cell receptor sequences are the dominant factor contributing to the phenotype of CD8

    Chen, Daniel G / Xie, Jingyi / Su, Yapeng / Heath, James R

    Cell reports

    2023  Volume 42, Issue 11, Page(s) 113279

    Abstract: Antigen-specific ... ...

    Abstract Antigen-specific CD8
    MeSH term(s) Humans ; CD8-Positive T-Lymphocytes ; Antigens, Viral ; Longitudinal Studies ; Receptors, Antigen, T-Cell/metabolism ; Phenotype ; COVID-19
    Chemical Substances Antigens, Viral ; Receptors, Antigen, T-Cell
    Language English
    Publishing date 2023-10-25
    Publishing country United States
    Document type Journal Article ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't
    ZDB-ID 2649101-1
    ISSN 2211-1247 ; 2211-1247
    ISSN (online) 2211-1247
    ISSN 2211-1247
    DOI 10.1016/j.celrep.2023.113279
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: An MBene Modulating the Buried SnO2/Perovskite Interface in Perovskite Solar Cells.

    Zhang, Yuning / Yu, Bo / Sun, Yapeng / Zhang, Jiankai / Su, Zhan / Yu, Huangzhong

    Angewandte Chemie (International ed. in English)

    2024  , Page(s) e202404385

    Abstract: The interface of perovskite solar cells (PSCs) plays an important role in transferring and collecting charges. Interface defects are important factors affecting the efficiency and stability of PSCs. Here, the buried interface between SnO2 and the ... ...

    Abstract The interface of perovskite solar cells (PSCs) plays an important role in transferring and collecting charges. Interface defects are important factors affecting the efficiency and stability of PSCs. Here, the buried interface between SnO2 and the perovskite layer is bridged by two-dimensional (2D) MBene, which improves charge transfer. MBene can deposit additional electrons on the surface of SnO2, passivate its surface defects and facilitate the charge collection. Moreover, the dipole moment formed at the interface increases the electron transfer ability in the PSCs. MBene also regulates the growth of perovskite crystals, improves the quality of perovskite films, and reduces its grain boundary defects. As a result, PSCs based on FA0.2MA0.8PbI3 and (FAPbI3)0.95(MAPbBr3)0.05 get the enhanced efficiencies of 22.34% and 24.32% with negligible hysteresis. Furthermore, the optimized device exhibits better stability. This work opens up the application of MBene materials in PSCs, reveals a deeper understanding of the mechanism behind using 2D materials as an interface modification layer, and shows opportunities for using MBene as potential material in photoelectric devices.
    Language English
    Publishing date 2024-04-18
    Publishing country Germany
    Document type Journal Article
    ZDB-ID 2011836-3
    ISSN 1521-3773 ; 1433-7851
    ISSN (online) 1521-3773
    ISSN 1433-7851
    DOI 10.1002/anie.202404385
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: A pan-cancer analysis confirms PTPN11's potential as a prognostic and immunological biomarker.

    Cao, Yapeng / Duan, Haixia / Su, Ailing / Xu, Liran / Lai, Baochang

    Aging

    2022  Volume 14, Issue 13, Page(s) 5590–5610

    Abstract: Protein tyrosine phosphatase, non-receptor type 11 (PTPN11) is a multifunctional tyrosine phosphatase and has a significant part in many types of tumors. As of yet, neither the expression profile of PTPN11 nor its significance in pan-cancer diagnosis has ...

    Abstract Protein tyrosine phosphatase, non-receptor type 11 (PTPN11) is a multifunctional tyrosine phosphatase and has a significant part in many types of tumors. As of yet, neither the expression profile of PTPN11 nor its significance in pan-cancer diagnosis has been clarified. With the assistance of The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO), we have comprehensively mapped the expression profiles, prognostic significance, genetic alteration, phosphorylation status, infiltration of immune cells, and functional properties of PTPN11 in 33 human tumors. There was an inconsistent expression of
    MeSH term(s) Biomarkers, Tumor/genetics ; Endothelial Cells/metabolism ; Head and Neck Neoplasms ; Humans ; Lung Neoplasms/genetics ; Prognosis ; Protein Tyrosine Phosphatase, Non-Receptor Type 11/genetics ; Protein Tyrosine Phosphatase, Non-Receptor Type 11/metabolism
    Chemical Substances Biomarkers, Tumor ; PTPN11 protein, human (EC 3.1.3.48) ; Protein Tyrosine Phosphatase, Non-Receptor Type 11 (EC 3.1.3.48)
    Language English
    Publishing date 2022-07-08
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ISSN 1945-4589
    ISSN (online) 1945-4589
    DOI 10.18632/aging.204171
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Book ; Online: Separating Invisible Sounds Toward Universal Audiovisual Scene-Aware Sound Separation

    Su, Yiyang / Vosoughi, Ali / Deng, Shijian / Tian, Yapeng / Xu, Chenliang

    2023  

    Abstract: The audio-visual sound separation field assumes visible sources in videos, but this excludes invisible sounds beyond the camera's view. Current methods struggle with such sounds lacking visible cues. This paper introduces a novel "Audio-Visual Scene- ... ...

    Abstract The audio-visual sound separation field assumes visible sources in videos, but this excludes invisible sounds beyond the camera's view. Current methods struggle with such sounds lacking visible cues. This paper introduces a novel "Audio-Visual Scene-Aware Separation" (AVSA-Sep) framework. It includes a semantic parser for visible and invisible sounds and a separator for scene-informed separation. AVSA-Sep successfully separates both sound types, with joint training and cross-modal alignment enhancing effectiveness.

    Comment: Accepted at ICCV 2023 - AV4D, 4 figures, 3 tables
    Keywords Computer Science - Computer Vision and Pattern Recognition ; Computer Science - Sound ; Electrical Engineering and Systems Science - Audio and Speech Processing
    Publishing date 2023-10-18
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  8. Article ; Online: Integrative systems biology reveals NKG2A-biased immune responses correlate with protection in infectious disease, autoimmune disease, and cancer.

    Chen, Daniel G / Xie, Jingyi / Choi, Jongchan / Ng, Rachel H / Zhang, Rongyu / Li, Sarah / Edmark, Rick / Zheng, Hong / Solomon, Ben / Campbell, Katie M / Medina, Egmidio / Ribas, Antoni / Khatri, Purvesh / Lanier, Lewis L / Mease, Philip J / Goldman, Jason D / Su, Yapeng / Heath, James R

    Cell reports

    2024  Volume 43, Issue 3, Page(s) 113872

    Abstract: Infection, autoimmunity, and cancer are principal human health challenges of the ... ...

    Abstract Infection, autoimmunity, and cancer are principal human health challenges of the 21
    MeSH term(s) Humans ; CD8-Positive T-Lymphocytes ; Neoplasms/pathology ; Autoimmunity ; Inflammation/pathology ; Autoimmune Diseases/pathology ; Communicable Diseases/pathology ; Immunologic Memory
    Language English
    Publishing date 2024-02-29
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2649101-1
    ISSN 2211-1247 ; 2211-1247
    ISSN (online) 2211-1247
    ISSN 2211-1247
    DOI 10.1016/j.celrep.2024.113872
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article: Constraint-Based Reconstruction and Analyses of Metabolic Models: Open-Source Python Tools and Applications to Cancer.

    Ng, Rachel H / Lee, Jihoon W / Baloni, Priyanka / Diener, Christian / Heath, James R / Su, Yapeng

    Frontiers in oncology

    2022  Volume 12, Page(s) 914594

    Abstract: The influence of metabolism on signaling, epigenetic markers, and transcription is highly complex yet important for understanding cancer physiology. Despite the development of high-resolution multi-omics technologies, it is difficult to infer metabolic ... ...

    Abstract The influence of metabolism on signaling, epigenetic markers, and transcription is highly complex yet important for understanding cancer physiology. Despite the development of high-resolution multi-omics technologies, it is difficult to infer metabolic activity from these indirect measurements. Fortunately, genome-scale metabolic models and constraint-based modeling provide a systems biology framework to investigate the metabolic states and define the genotype-phenotype associations by integrations of multi-omics data. Constraint-Based Reconstruction and Analysis (COBRA) methods are used to build and simulate metabolic networks using mathematical representations of biochemical reactions, gene-protein reaction associations, and physiological and biochemical constraints. These methods have led to advancements in metabolic reconstruction, network analysis, perturbation studies as well as prediction of metabolic state. Most computational tools for performing these analyses are written for MATLAB, a proprietary software. In order to increase accessibility and handle more complex datasets and models, community efforts have started to develop similar open-source tools in Python. To date there is a comprehensive set of tools in Python to perform various flux analyses and visualizations; however, there are still missing algorithms in some key areas. This review summarizes the availability of Python software for several components of COBRA methods and their applications in cancer metabolism. These tools are evolving rapidly and should offer a readily accessible, versatile way to model the intricacies of cancer metabolism for identifying cancer-specific metabolic features that constitute potential drug targets.
    Language English
    Publishing date 2022-07-07
    Publishing country Switzerland
    Document type Journal Article ; Review
    ZDB-ID 2649216-7
    ISSN 2234-943X
    ISSN 2234-943X
    DOI 10.3389/fonc.2022.914594
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Stereochemical engineering yields a multifunctional peptide macrocycle inhibitor of Akt2 by fine-tuning macrocycle-cell membrane interactions.

    Nag, Arundhati / Mafi, Amirhossein / Das, Samir / Yu, Mary Beth / Alvarez-Villalonga, Belen / Kim, Soo-Kyung / Su, Yapeng / Goddard, William A / Heath, James R

    Communications chemistry

    2023  Volume 6, Issue 1, Page(s) 95

    Abstract: Macrocycle peptides are promising constructs for imaging and inhibiting extracellular, and cell membrane proteins, but their use for targeting intracellular proteins is typically limited by poor cell penetration. We report the development of a cell- ... ...

    Abstract Macrocycle peptides are promising constructs for imaging and inhibiting extracellular, and cell membrane proteins, but their use for targeting intracellular proteins is typically limited by poor cell penetration. We report the development of a cell-penetrant high-affinity peptide ligand targeted to the phosphorylated Ser474 epitope of the (active) Akt2 kinase. This peptide can function as an allosteric inhibitor, an immunoprecipitation reagent, and a live cell immunohistochemical staining reagent. Two cell penetrant stereoisomers were prepared and shown to exhibit similar target binding affinities and hydrophobic character but 2-3-fold different rates of cell penetration. Experimental and computational studies resolved that the ligands' difference in cell penetration could be assigned to their differential interactions with cholesterol in the membrane. These results expand the tool kit for designing new chiral-based cell-penetrant ligands.
    Language English
    Publishing date 2023-05-18
    Publishing country England
    Document type Journal Article
    ZDB-ID 2929562-2
    ISSN 2399-3669 ; 2399-3669
    ISSN (online) 2399-3669
    ISSN 2399-3669
    DOI 10.1038/s42004-023-00890-w
    Database MEDical Literature Analysis and Retrieval System OnLINE

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