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 *

194 related articles for article (PubMed ID: 33015708)

  • 1. 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]  

  • 2. Immune gene expression networks in sepsis: A network biology approach.
    Kim KS; Jekarl DW; Yoo J; Lee S; Kim M; Kim Y
    PLoS One; 2021; 16(3):e0247669. PubMed ID: 33667236
    [TBL] [Abstract][Full Text] [Related]  

  • 3.
    Jiang Y; Miao Q; Hu L; Zhou T; Hu Y; Tian Y
    Comb Chem High Throughput Screen; 2022; 25(10):1722-1730. PubMed ID: 34397323
    [TBL] [Abstract][Full Text] [Related]  

  • 4. CD3D and CD247 are the molecular targets of septic shock.
    Yang Q; Feng Z; Ding D; Kang C
    Medicine (Baltimore); 2023 Jul; 102(29):e34295. PubMed ID: 37478215
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Key platelet genes play important roles in predicting the prognosis of sepsis.
    Shen L; Tao C; Zhu K; Cai L; Yang S; Jin J; Ren Y; Xiao Y; Zhang Y; Lai D; Tou J
    Sci Rep; 2024 Oct; 14(1):23530. PubMed ID: 39384856
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Analysis of Sepsis Markers and Pathogenesis Based on Gene Differential Expression and Protein Interaction Network.
    Liang J; Wu W; Wang X; Wu W; Chen S; Jiang M
    J Healthc Eng; 2022; 2022():6878495. PubMed ID: 35190763
    [TBL] [Abstract][Full Text] [Related]  

  • 7. ARG1 as a promising biomarker for sepsis diagnosis and prognosis: evidence from WGCNA and PPI network.
    Zhang JX; Xu WH; Xing XH; Chen LL; Zhao QJ; Wang Y
    Hereditas; 2022 Jun; 159(1):27. PubMed ID: 35739592
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. The
    Xu G; Mo L; Wu C; Shen X; Dong H; Yu L; Pan P; Pan K
    Ren Fail; 2019 Nov; 41(1):955-966. PubMed ID: 31658856
    [No Abstract]   [Full Text] [Related]  

  • 10. Bioinformatics analysis of the potential biomarkers for acute respiratory distress syndrome.
    Liao L; Liao P
    Biosci Rep; 2020 Sep; 40(9):. PubMed ID: 32856055
    [TBL] [Abstract][Full Text] [Related]  

  • 11. miR‑148 family members are putative biomarkers for sepsis.
    Dong L; Li H; Zhang S; Yang G
    Mol Med Rep; 2019 Jun; 19(6):5133-5141. PubMed ID: 31059023
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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]  

  • 13. Identification of genes related to consecutive trauma-induced sepsis via gene expression profiling analysis.
    Dong L; Li H; Zhang S; Su L
    Medicine (Baltimore); 2018 Apr; 97(15):e0362. PubMed ID: 29642183
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Exploring the prognostic and diagnostic value of lactylation-related genes in sepsis.
    Li S; Shen Y; Wang C; Yang J; Chen M; Hu Y
    Sci Rep; 2024 Oct; 14(1):23130. PubMed ID: 39367086
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Network analysis of inflammatory responses to sepsis by neutrophils and peripheral blood mononuclear cells.
    Godini R; Fallahi H; Ebrahimie E
    PLoS One; 2018; 13(8):e0201674. PubMed ID: 30086151
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Molecular mechanisms underlying gliomas and glioblastoma pathogenesis revealed by bioinformatics analysis of microarray data.
    Vastrad B; Vastrad C; Godavarthi A; Chandrashekar R
    Med Oncol; 2017 Sep; 34(11):182. PubMed ID: 28952134
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Screening of potential immune-related genes expressed during sepsis using gene sequencing technology.
    Tian Y; Wang C; Lu Q; Zhang C; Hu L; Ling J; Chen M; Hu Y
    Sci Rep; 2023 Mar; 13(1):4258. PubMed ID: 36918563
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Identifying the mRNAs associated with Bladder cancer recurrence.
    Cao H; Cheng L; Yu J; Zhang Z; Luo Z; Chen D
    Cancer Biomark; 2020; 28(4):429-437. PubMed ID: 32390597
    [TBL] [Abstract][Full Text] [Related]  

  • 19. 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]  

  • 20. Identification of Potential Biomarkers and Immune Features of Sepsis Using Bioinformatics Analysis.
    Gong FC; Ji R; Wang YM; Yang ZT; Chen Y; Mao EQ; Chen EZ
    Mediators Inflamm; 2020; 2020():3432587. PubMed ID: 33132754
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.