These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

173 related articles for article (PubMed ID: 38702721)

  • 1. Identification of sepsis-associated mitochondrial genes through RNA and single-cell sequencing approaches.
    Li S; Li X; Jiang S; Wang C; Hu Y
    BMC Med Genomics; 2024 May; 17(1):120. PubMed ID: 38702721
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Identification of four mitochondria-related genes in sepsis based on RNA sequencing technology.
    ShilinLi ; Hu Y
    BMC Immunol; 2024 May; 25(1):32. PubMed ID: 38755528
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Construction and validation of a mitochondria-associated genes prognostic signature and immune microenvironment characteristic of sepsis.
    Shu Q; Du Y; She H; Mo J; Zhu Z; Zhong L; He F; Fan J; Zhu J
    Int Immunopharmacol; 2024 Jan; 126():111275. PubMed ID: 37995567
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Identification of Key Inflammation-related Genes as Potential Diagnostic Biomarkers of Sepsis.
    Guo P; Wang R; Shen J; Zhang L; Mo W
    Altern Ther Health Med; 2023 Jul; 29(5):24-31. PubMed ID: 37235492
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Identification and analysis of mitochondria-related central genes in steroid-induced osteonecrosis of the femoral head, along with drug prediction.
    Ma Z; Sun J; Jiang Q; Zhao Y; Jiang H; Sun P; Feng W
    Front Endocrinol (Lausanne); 2024; 15():1341366. PubMed ID: 38384969
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Identification of potential diagnostic biomarkers for tenosynovial giant cell tumour by integrating microarray and single-cell RNA sequencing data.
    Chen C; Zheng L; Zeng G; Chen Y; Liu W; Song W
    J Orthop Surg Res; 2023 Nov; 18(1):905. PubMed ID: 38017559
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Integrative analysis of metabolomics and transcriptomics to uncover biomarkers in sepsis.
    Chen W; Guo W; Li Y; Chen M
    Sci Rep; 2024 Apr; 14(1):9676. PubMed ID: 38678059
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Analysis of the prognostic value of mitochondria-related genes in patients with acute myocardial infarction.
    Qiu J; Gu Y
    BMC Cardiovasc Disord; 2024 Aug; 24(1):408. PubMed ID: 39103773
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Identification of a novel sepsis prognosis model and analysis of possible drug application prospects: Based on scRNA-seq and RNA-seq data.
    He H; Huang T; Guo S; Yu F; Shen H; Shao H; Chen K; Zhang L; Wu Y; Tang X; Yuan X; Liu J; Zhou Y
    Front Immunol; 2022; 13():888891. PubMed ID: 36389695
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Identification of potential biomarkers and pathways for sepsis using RNA sequencing technology and bioinformatic analysis.
    Yu R; Wang Y; Liang Q; Xu Y; Yusf AE; Sun L
    Heliyon; 2023 Apr; 9(4):e15034. PubMed ID: 37089399
    [TBL] [Abstract][Full Text] [Related]  

  • 11. The predictive value of peripheral blood cell mitochondrial gene expression in identifying the prognosis in pediatric sepsis at preschool age.
    Jing S; Zhang Y; Zhao W; Li Y; Wen Y
    Front Cell Infect Microbiol; 2024; 14():1413103. PubMed ID: 39113822
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Proteomics Combined with RNA Sequencing to Screen Biomarkers of Sepsis.
    Wang C; Li Y; Li S; Chen M; Hu Y
    Infect Drug Resist; 2022; 15():5575-5587. PubMed ID: 36172619
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Identification of qualitative characteristics of immunosuppression in sepsis based on immune-related genes and immune infiltration features.
    Zeng N; Jian Z; Xu J; Peng T; Hong G; Xiao F
    Heliyon; 2024 Apr; 10(8):e29007. PubMed ID: 38628767
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Identification of key pathogenic genes of sepsis based on the Gene Expression Omnibus database.
    Lu X; Xue L; Sun W; Ye J; Zhu Z; Mei H
    Mol Med Rep; 2018 Feb; 17(2):3042-3054. PubMed ID: 29257295
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Screening of four lysosome-related genes in sepsis based on RNA sequencing technology.
    Chen G; Zhang W; Wang C; Chen M; Hu Y; Wang Z
    BMC Immunol; 2023 Dec; 24(1):50. PubMed ID: 38057716
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Screening of key genes related to the prognosis of mouse sepsis.
    Chen M; Chen X; Hu Y; Cai X
    Biosci Rep; 2020 Oct; 40(10):. PubMed ID: 33015708
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Unlocking the potential of senescence-related gene signature as a diagnostic and prognostic biomarker in sepsis: insights from meta-analyses, single-cell RNA sequencing, and
    Chen J; Si J; Li Q; Zhang W; He J
    Aging (Albany NY); 2024 Feb; 16(4):3989-4013. PubMed ID: 38412321
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Development and validation of novel inflammatory response-related gene signature for sepsis prognosis.
    Jiang S; Zhang W; Lu Y
    J Zhejiang Univ Sci B; 2022 Dec; 23(12):1028-1041. PubMed ID: 36518055
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Identification and validation of core genes in tumor-educated platelets for human gastrointestinal tumor diagnosis using network-based transcriptomic analysis.
    Jiang Y; He J; Wang X; Liu C; Zhou W; Liu D; Guo Z; Liu K
    Platelets; 2023 Dec; 34(1):2212071. PubMed ID: 37212262
    [TBL] [Abstract][Full Text] [Related]  

  • 20. SCREENING OF POTENTIAL CORE GENES IN THE PERIPHERAL BLOOD OF ADULT PATIENTS WITH SEPSIS BASED ON IMMUNOREGULATION AND SIGNAL TRANSDUCTION FUNCTIONS.
    Tian Y; Wang L; Chen W; Zhong W; Hu Y
    Shock; 2023 May; 59(5):708-715. PubMed ID: 36880832
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.