193 related articles for article (PubMed ID: 30015967)
1. Bioinformatics approach reveals the key role of C‑X‑C motif chemokine receptor 2 in endometriosis development.
Tan A; Luo R; Liang H; Li M; Ruan P
Mol Med Rep; 2018 Sep; 18(3):2841-2849. PubMed ID: 30015967
[TBL] [Abstract][Full Text] [Related]
2. Identification of endometriosis-associated genes and pathways based on bioinformatic analysis.
Wang T; Jiang R; Yao Y; Qian L; Zhao Y; Huang X
Medicine (Baltimore); 2021 Jul; 100(27):e26530. PubMed ID: 34232189
[TBL] [Abstract][Full Text] [Related]
3. Bioinformatics approach reveals the critical role of TGF-β signaling pathway in pre-eclampsia development.
Wu K; Liu F; Wu W; Chen Y; Zhang W
Eur J Obstet Gynecol Reprod Biol; 2019 Sep; 240():130-138. PubMed ID: 31280059
[TBL] [Abstract][Full Text] [Related]
4. Molecular mechanisms underlying endometriosis pathogenesis revealed by bioinformatics analysis of microarray data.
Ping S; Ma C; Liu P; Yang L; Yang X; Wu Q; Zhao X; Gong B
Arch Gynecol Obstet; 2016 Apr; 293(4):797-804. PubMed ID: 26354330
[TBL] [Abstract][Full Text] [Related]
5. In silico, in vitro and in vivo analysis identifies a potential role for steroid hormone regulation of FOXD3 in endometriosis-associated genes.
Mathew D; Drury JA; Valentijn AJ; Vasieva O; Hapangama DK
Hum Reprod; 2016 Feb; 31(2):345-54. PubMed ID: 26705148
[TBL] [Abstract][Full Text] [Related]
6. Bioinformatic analysis reveals the importance of epithelial-mesenchymal transition in the development of endometriosis.
Chen M; Zhou Y; Xu H; Hill C; Ewing RM; He D; Zhang X; Wang Y
Sci Rep; 2020 May; 10(1):8442. PubMed ID: 32439908
[TBL] [Abstract][Full Text] [Related]
7. In search of key genes associated with endometriosis using bioinformatics approach.
Liu F; Lv X; Yu H; Xu P; Ma R; Zou K
Eur J Obstet Gynecol Reprod Biol; 2015 Nov; 194():119-24. PubMed ID: 26366788
[TBL] [Abstract][Full Text] [Related]
8. Overexpression of chloride channel-3 is associated with the increased migration and invasion ability of ectopic endometrial cells from patients with endometriosis.
Guan YT; Huang YQ; Wu JB; Deng ZQ; Wang Y; Lai ZY; Wang HB; Sun XX; Zhu YL; Du MM; Zhu LY; Chen LX; Wang LW
Hum Reprod; 2016 May; 31(5):986-98. PubMed ID: 26965430
[TBL] [Abstract][Full Text] [Related]
9. Identification and analysis of novel endometriosis biomarkers
Bae SJ; Jo Y; Cho MK; Jin JS; Kim JY; Shim J; Kim YH; Park JK; Ryu D; Lee HJ; Joo J; Ha KT
Front Endocrinol (Lausanne); 2022; 13():942368. PubMed ID: 36339397
[TBL] [Abstract][Full Text] [Related]
10. MicroRNA expression profiles and networks in CXCL12‑stimulated human endometrial stromal cells.
Mei J; Li MQ; Li DJ; Sun HX
Mol Med Rep; 2017 Jan; 15(1):249-255. PubMed ID: 27959395
[TBL] [Abstract][Full Text] [Related]
11. Identification of differentially expressed genes in ulcerative colitis and verification in a colitis mouse model by bioinformatics analyses.
Shi L; Han X; Li JX; Liao YT; Kou FS; Wang ZB; Shi R; Zhao XJ; Sun ZM; Hao Y
World J Gastroenterol; 2020 Oct; 26(39):5983-5996. PubMed ID: 33132649
[TBL] [Abstract][Full Text] [Related]
12. Identification of key genes and crucial modules associated with coronary artery disease by bioinformatics analysis.
Zhang X; Cheng X; Liu H; Zheng C; Rao K; Fang Y; Zhou H; Xiong S
Int J Mol Med; 2014 Sep; 34(3):863-9. PubMed ID: 24969630
[TBL] [Abstract][Full Text] [Related]
13. Candidate genes and microRNAs for glioma pathogenesis and prognosis based on gene expression profiles.
Xie C; Xu M; Lu D; Zhang W; Wang L; Wang H; Li J; Ren F; Wang C
Mol Med Rep; 2018 Sep; 18(3):2715-2723. PubMed ID: 30015885
[TBL] [Abstract][Full Text] [Related]
14. Identification of Key Genes and Pathways associated with Endometriosis by Weighted Gene Co-expression Network Analysis.
Wu J; Fang X; Xia X
Int J Med Sci; 2021; 18(15):3425-3436. PubMed ID: 34522169
[No Abstract] [Full Text] [Related]
15. The identification of key genes and pathways in hepatocellular carcinoma by bioinformatics analysis of high-throughput data.
Zhang C; Peng L; Zhang Y; Liu Z; Li W; Chen S; Li G
Med Oncol; 2017 Jun; 34(6):101. PubMed ID: 28432618
[TBL] [Abstract][Full Text] [Related]
16. Analysis of the protein-protein interaction networks of differentially expressed genes in pulmonary embolism.
Wang H; Wang C; Zhang L; Lu Y; Duan Q; Gong Z; Liang A; Song H; Wang L
Mol Med Rep; 2015 Apr; 11(4):2527-33. PubMed ID: 25434468
[TBL] [Abstract][Full Text] [Related]
17. Bioinformatics analysis of fibroblasts exposed to TGF‑β at the early proliferation phase of wound repair.
Mi B; Liu G; Zhou W; Lv H; Zha K; Liu Y; Wu Q; Liu J
Mol Med Rep; 2017 Dec; 16(6):8146-8154. PubMed ID: 28983581
[TBL] [Abstract][Full Text] [Related]
18. Elevated phosphatase of regenerating liver 3 (PRL-3) promotes cytoskeleton reorganization, cell migration and invasion in endometrial stromal cells from endometrioma.
Zhan H; Ma J; Ruan F; Bedaiwy MA; Peng B; Wu R; Lin J
Hum Reprod; 2016 Apr; 31(4):723-33. PubMed ID: 26874360
[TBL] [Abstract][Full Text] [Related]
19. Molecular Mechanisms Underlying Intestinal Ischemia/Reperfusion Injury: Bioinformatics Analysis and In Vivo Validation.
Chen F; Wang D; Li X; Wang H
Med Sci Monit; 2020 Dec; 26():e927476. PubMed ID: 33290384
[TBL] [Abstract][Full Text] [Related]
20. Identification of key mRNAs and microRNAs in the pathogenesis and progression of osteoarthritis using microarray analysis.
Li H; Bai B; Wang J; Xu Z; Yan S; Liu G
Mol Med Rep; 2017 Oct; 16(4):5659-5666. PubMed ID: 28849222
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
