169 related articles for article (PubMed ID: 37969273)
1. Identification of potential biomarkers associated with CD4
Wang W; Kang L; Li H; Sha X; Li J; He S
J Thorac Dis; 2023 Oct; 15(10):5613-5624. PubMed ID: 37969273
[TBL] [Abstract][Full Text] [Related]
2. Identification of biomarkers, immune infiltration landscape, and treatment targets of ischemia-reperfusion acute kidney injury at an early stage by bioinformatics methods.
You R; Heyang Z; Ma Y; Xia P; Zheng H; Lin J; Ji P; Chen L
Hereditas; 2022 Jun; 159(1):24. PubMed ID: 35658960
[TBL] [Abstract][Full Text] [Related]
3. Bioinformatics integration reveals key genes associated with mitophagy in myocardial ischemia-reperfusion injury.
Chen Z; Liu T; Yuan H; Sun H; Liu S; Zhang S; Liu L; Jiang S; Tang Y; Liu Z
BMC Cardiovasc Disord; 2024 Mar; 24(1):183. PubMed ID: 38539069
[TBL] [Abstract][Full Text] [Related]
4. GPX3 and GSTT1 as biomarkers related to oxidative stress during renal ischemia reperfusion injuries and their relationship with immune infiltration.
Pei J; Tian X; Yu C; Luo J; Zhang J; Hua Y; Wei G
Front Immunol; 2023; 14():1136146. PubMed ID: 37033969
[TBL] [Abstract][Full Text] [Related]
5. Identification of biomarkers of renal ischemia-reperfusion injury by bioinformatics analysis and single-cell sequencing analysis combined with in vivo validation.
Zhu Q; Ren S; Sun Z; Qin J; Sheng X
Transpl Immunol; 2023 Dec; 81():101928. PubMed ID: 37704087
[TBL] [Abstract][Full Text] [Related]
6. Screening and identification of potential hub genes and immune cell infiltration in the synovial tissue of rheumatoid arthritis by bioinformatic approach.
Feng ZW; Tang YC; Sheng XY; Wang SH; Wang YB; Liu ZC; Liu JM; Geng B; Xia YY
Heliyon; 2023 Jan; 9(1):e12799. PubMed ID: 36699262
[TBL] [Abstract][Full Text] [Related]
7. Six potential biomarkers in septic shock: a deep bioinformatics and prospective observational study.
Kong C; Zhu Y; Xie X; Wu J; Qian M
Front Immunol; 2023; 14():1184700. PubMed ID: 37359526
[TBL] [Abstract][Full Text] [Related]
8. Identification of uterine leiomyosarcoma-associated hub genes and immune cell infiltration pattern using weighted co-expression network analysis and CIBERSORT algorithm.
Shen X; Yang Z; Feng S; Li Y
World J Surg Oncol; 2021 Jul; 19(1):223. PubMed ID: 34321013
[TBL] [Abstract][Full Text] [Related]
9. Bioinformatic analysis of hub markers and immune cell infiltration characteristics of gastric cancer.
Li C; Yang T; Yuan Y; Wen R; Yu H
Front Immunol; 2023; 14():1202529. PubMed ID: 37359529
[TBL] [Abstract][Full Text] [Related]
10. Identification of Effective Diagnostic Biomarkers and Immune Cell Infiltration in Atopic Dermatitis by Comprehensive Bioinformatics Analysis.
Li C; Lu Y; Han X
Front Mol Biosci; 2022; 9():917077. PubMed ID: 35911963
[No Abstract] [Full Text] [Related]
11. Bioinformatics analyses of immune-related genes and immune infiltration associated with lung ischemia-reperfusion injury.
Qian J; Xu Z; Yin M; Qin Z; Pinhu L
Transpl Immunol; 2023 Dec; 81():101926. PubMed ID: 37652362
[TBL] [Abstract][Full Text] [Related]
12. Exploring the Immune Landscape of Cirrhosis through Weighted Gene Co-expression Network Analysis.
Zhuoma B; Yang C; Wang W; Ranhen Y
Cell Mol Biol (Noisy-le-grand); 2023 Jun; 69(6):168-174. PubMed ID: 37605574
[TBL] [Abstract][Full Text] [Related]
13. Identification of the Relationship between Hub Genes and Immune Cell Infiltration in Vascular Endothelial Cells of Proliferative Diabetic Retinopathy Using Bioinformatics Methods.
Huang J; Zhou Q
Dis Markers; 2022; 2022():7231046. PubMed ID: 35154512
[TBL] [Abstract][Full Text] [Related]
14. Identification of hub biomarkers and immune cell infiltration characteristics of polymyositis by bioinformatics analysis.
Jia Q; Hao RJ; Lu XJ; Sun SQ; Shao JJ; Su X; Huang QF
Front Immunol; 2022; 13():1002500. PubMed ID: 36225941
[TBL] [Abstract][Full Text] [Related]
15. Identification of renal ischemia reperfusion injury-characteristic genes, pathways and immunological micro-environment features through bioinformatics approaches.
Lv X; Fan Q; Li X; Li P; Wan Z; Han X; Wang H; Wang X; Wu L; Huo B; Yang L; Chen G; Zhang Y
Aging (Albany NY); 2024 Feb; 16(3):2123-2140. PubMed ID: 38329418
[TBL] [Abstract][Full Text] [Related]
16. Genome-wide analysis revealed the dysregulation of RNA binding protein-correlated alternative splicing events in myocardial ischemia reperfusion injury.
Ma N; Xu H; Zhang W; Sun X; Guo R; Liu D; Zhang L; Liu Y; Zhang J; Qiao C; Chen D; Luo A; Bai J
BMC Med Genomics; 2023 Oct; 16(1):251. PubMed ID: 37858115
[TBL] [Abstract][Full Text] [Related]
17. Mechanism of immune infiltration in synovial tissue of osteoarthritis: a gene expression-based study.
Zhang Q; Sun C; Liu X; Zhu C; Ma C; Feng R
J Orthop Surg Res; 2023 Jan; 18(1):58. PubMed ID: 36681837
[TBL] [Abstract][Full Text] [Related]
18. Dominant Myocardial Fibrosis and Complex Immune Microenvironment Jointly Shape the Pathogenesis of Arrhythmogenic Right Ventricular Cardiomyopathy.
Lu W; Li Y; Dai Y; Chen K
Front Cardiovasc Med; 2022; 9():900810. PubMed ID: 35845067
[TBL] [Abstract][Full Text] [Related]
19. Analysis of the potential ferroptosis mechanism and multitemporal expression change of central ferroptosis-related genes in cardiac ischemia-reperfusion injury.
Wang Z; He Z; Xuan Q; Zhang Y; Xu J; Lin J; Li H; Chen W; Jiang T
Front Physiol; 2022; 13():934901. PubMed ID: 36091399
[TBL] [Abstract][Full Text] [Related]
20. Identification of key signaling pathways and hub genes related to immune infiltration in Kawasaki disease with resistance to intravenous immunoglobulin based on weighted gene co-expression network analysis.
Wang Y; Cao Y; Li Y; Yuan M; Xu J; Li J
Front Mol Biosci; 2023; 10():1182512. PubMed ID: 37325483
[No Abstract] [Full Text] [Related]
[Next] [New Search]