667 related articles for article (PubMed ID: 35658960)
1. 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]
2. Identification of hub genes associated with acute kidney injury induced by renal ischemia-reperfusion injury in mice.
He S; He L; Yan F; Li J; Liao X; Ling M; Jing R; Pan L
Front Physiol; 2022; 13():951855. PubMed ID: 36246123
[No Abstract] [Full Text] [Related]
3. 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]
4. 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]
5. Identification of hub genes and transcription factor-miRNA-mRNA pathways in mice and human renal ischemia-reperfusion injury.
Ke P; Qian L; Zhou Y; Feng L; Zhang Z; Zheng C; Chen M; Huang X; Wu X
PeerJ; 2021; 9():e12375. PubMed ID: 34754625
[TBL] [Abstract][Full Text] [Related]
6. Elucidating the molecular pathways and immune system transcriptome during ischemia-reperfusion injury in renal transplantation.
Zhang J; Wei X; Tang Z; Miao B; Luo Y; Hu X; Luo Y; Zhou Y; Na N
Int Immunopharmacol; 2020 Apr; 81():106246. PubMed ID: 32044658
[TBL] [Abstract][Full Text] [Related]
7. Identification of Hub Genes and Pathways in a Rat Model of Renal Ischemia-Reperfusion Injury Using Bioinformatics Analysis of the Gene Expression Omnibus (GEO) Dataset and Integration of Gene Expression Profiles.
Guo A; Wang W; Shi H; Wang J; Liu T
Med Sci Monit; 2019 Nov; 25():8403-8411. PubMed ID: 31699960
[TBL] [Abstract][Full Text] [Related]
8. Bioinformatic Analyses of Renal Ischaemia-Reperfusion Injury Models: Identification of Key Genes Involved in the Development of Kidney Disease.
Zhu K; Zheng T; Chen X; Wang H
Kidney Blood Press Res; 2018; 43(6):1898-1907. PubMed ID: 30566931
[TBL] [Abstract][Full Text] [Related]
9. Identification and functional analysis of differentially expressed genes associated with cerebral ischemia/reperfusion injury through bioinformatics methods.
Shao X; Bao W; Hong X; Jiang H; Yu Z
Mol Med Rep; 2018 Aug; 18(2):1513-1523. PubMed ID: 29901134
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. Identifying crucial biomarkers in peripheral blood of schizophrenia and screening therapeutic agents by comprehensive bioinformatics analysis.
Xie M; Li Z; Li X; Ai L; Jin M; Jia N; Yang Y; Li W; Xue F; Zhang M; Yu Q
J Psychiatr Res; 2022 Aug; 152():86-96. PubMed ID: 35716513
[TBL] [Abstract][Full Text] [Related]
12. Bioinformatic analysis identifies potential biomarkers and therapeutic targets of septic-shock-associated acute kidney injury.
Tang Y; Yang X; Shu H; Yu Y; Pan S; Xu J; Shang Y
Hereditas; 2021 Apr; 158(1):13. PubMed ID: 33863396
[TBL] [Abstract][Full Text] [Related]
13. Differentially expressed genes induced by β-caryophyllene in a rat model of cerebral ischemia-reperfusion injury.
Liu S; Liu J; Wang Y; Deng L; Chen S; Wang X; Zuo T; Hu Q; Rao J; Wang Q; Dong Z
Life Sci; 2021 May; 273():119293. PubMed ID: 33705733
[TBL] [Abstract][Full Text] [Related]
14. Integrative analyses of potential biomarkers and pathways for non-obstructive azoospermia.
Zhong Y; Chen X; Zhao J; Deng H; Li X; Xie Z; Zhou B; Xian Z; Li X; Luo G; Li H
Front Genet; 2022; 13():988047. PubMed ID: 36506310
[No Abstract] [Full Text] [Related]
15. Prognostic biomarkers and immune cell infiltration characteristics in small cell lung cancer.
Ni J; Si X; Wang H; Zhang X; Zhang L
Cancer Pathog Ther; 2023 Jan; 1(1):18-24. PubMed ID: 38328611
[TBL] [Abstract][Full Text] [Related]
16. Identification of Differentially Expressed Genes and Signaling Pathways in Acute Myocardial Infarction Based on Integrated Bioinformatics Analysis.
Chen DQ; Kong XS; Shen XB; Huang MZ; Zheng JP; Sun J; Xu SH
Cardiovasc Ther; 2019; 2019():8490707. PubMed ID: 31772617
[TBL] [Abstract][Full Text] [Related]
17. Screening and Identification of Hub Genes in the Development of Early Diabetic Kidney Disease Based on Weighted Gene Co-Expression Network Analysis.
Wei R; Qiao J; Cui D; Pan Q; Guo L
Front Endocrinol (Lausanne); 2022; 13():883658. PubMed ID: 35721731
[TBL] [Abstract][Full Text] [Related]
18. Single-cell RNA sequencing reveals the transcriptomic landscape of kidneys in patients with ischemic acute kidney injury.
Tang R; Jin P; Shen C; Lin W; Yu L; Hu X; Meng T; Zhang L; Peng L; Xiao X; Eggenhuizen P; Ooi JD; Wu X; Ding X; Zhong Y
Chin Med J (Engl); 2023 May; 136(10):1177-1187. PubMed ID: 37083129
[TBL] [Abstract][Full Text] [Related]
19. Comprehensive Molecular and Cellular Characterization of Acute Kidney Injury Progression to Renal Fibrosis.
Wu R; Li J; Tu G; Su Y; Zhang X; Luo Z; Rong R; Zhang Y
Front Immunol; 2021; 12():699192. PubMed ID: 34777334
[TBL] [Abstract][Full Text] [Related]
20. Identification of fibroblast activation-related genes in two acute kidney injury models.
Deng W; Wei X; Dong Z; Zhang J; Huang Z; Na N
PeerJ; 2021; 9():e10926. PubMed ID: 33777519
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
