|
1
|
Liu Y: Renal fibrosis: New insights into
the pathogenesis and therapeutics. Kidney Int. 69:213–217. 2006.
View Article : Google Scholar : PubMed/NCBI
|
|
2
|
Liu Y: Cellular and molecular mechanisms
of renal fibrosis. Nat Rev Nephrol. 7:684–696. 2011. View Article : Google Scholar : PubMed/NCBI
|
|
3
|
Chung AC and Lan HY: Molecular mechanisms
of TGF-β signaling in renal fibrosis. Current Pathobiology Reports.
1:291–299. 2013. View Article : Google Scholar
|
|
4
|
Stambe C, Atkins RC, Tesch GH, Masaki T,
Schreiner GF and Nikolic-Paterson DJ: The role of p38alpha
mitogen-activated protein kinase activation in renal fibrosis. J Am
Soc Nephrol. 15:370–379. 2004. View Article : Google Scholar : PubMed/NCBI
|
|
5
|
Boor P, Ostendorf T and Floege J: Renal
fibrosis: Novel insights into mechanisms and therapeutic targets.
Nat Rev Nephrol. 6:643–656. 2010. View Article : Google Scholar : PubMed/NCBI
|
|
6
|
Chung AC, Huang XR, Meng X and Lan HY:
miR-192 mediates TGF-beta/Smad3-driven renal fibrosis. J Am Soc
Nephrol. 21:1317–1325. 2010. View Article : Google Scholar : PubMed/NCBI
|
|
7
|
Zhong X, Chung AC, Chen HY, Meng XM and
Lan HY: Smad3-mediated upregulation of miR-21 promotes renal
fibrosis. J Am Soc Nephrol. 22:1668–1681. 2011. View Article : Google Scholar : PubMed/NCBI
|
|
8
|
Qin W, Chung AC, Huang XR, Meng XM, Hui
DS, Yu CM, Sung JJ and Lan HY: TGF-β/Smad3 signaling promotes renal
fibrosis by inhibiting miR-29. J Am Soc Nephrol. 22:1462–1474.
2011. View Article : Google Scholar : PubMed/NCBI
|
|
9
|
Jiang X, Tsitsiou E, Herrick SE and
Lindsay MA: MicroRNAs and the regulation of fibrosis. FEBS J.
277:2015–2021. 2010. View Article : Google Scholar : PubMed/NCBI
|
|
10
|
Ishidoya S, Morrissey J, Mccracken R,
Reyes A and Klahr S: Angiotensin II receptor antagonist ameliorates
renal tubulointerstitial fibrosis caused by unilateral ureteral
obstruction. Kidney Int. 47:1285–1294. 1995. View Article : Google Scholar : PubMed/NCBI
|
|
11
|
Morizane R, Fujii S, Monkawa T, Hiratsuka
K, Yamaguchi S, Homma K and Itoh H: miR-34c attenuates
epithelial-mesenchymal transition and kidney fibrosis with ureteral
obstruction. Sci Rep. 4:45782014. View Article : Google Scholar : PubMed/NCBI
|
|
12
|
Barrett T and Edgar R: Gene expression
omnibus: Microarray data storage, submission, retrieval, and
analysis. Methods Enzymol. 411:352–369. 2006. View Article : Google Scholar : PubMed/NCBI
|
|
13
|
Gautier L, Cope L, Bolstad BM and Irizarry
RA: affy-analysis of Affymetrix GeneChip data at the probe level.
Bioinformatics. 20:307–315. 2004. View Article : Google Scholar : PubMed/NCBI
|
|
14
|
Smyth GK: Limma: Linear models for
microarray data, in Bioinformatics and computational biology
solutions using R and Bioconductor. Springer; pp. 397–420. 2005
|
|
15
|
Dweep H, Sticht C, Pandey P and Gretz N:
miRWalk-database: Prediction of possible miRNA binding sites by
‘walking’ the genes of three genomes. J Biomed Inform. 44:839–847.
2011. View Article : Google Scholar : PubMed/NCBI
|
|
16
|
Wang J, Lu M, Qiu C and Cui Q: TransmiR: A
transcription factor-microRNA regulation database. Nucleic Acids
Res. 38:(Database issue). D119–D122. 2010. View Article : Google Scholar : PubMed/NCBI
|
|
17
|
Franceschini A, Szklarczyk D, Frankild S,
Kuhn M, Simonovic M, Roth A, Lin J, Minguez P, Bork P, von Mering C
and Jensen LJ: STRING v9. 1: Protein-protein interaction networks,
with increased coverage and integration. Nucleic Acids Res.
41:(Database issue). D808–D815. 2013. View Article : Google Scholar : PubMed/NCBI
|
|
18
|
Kohl M, Wiese S and Warscheid B:
Cytoscape: software for visualization and analysis of biological
networks, in Data Mining in Proteomics. Springer; pp. 291–303.
2011
|
|
19
|
Gene Ontology Consortium, . Blake JA,
Dolan M, Drabkin H, Hill DP, Li N, Sitnikov D, Bridges S, Burgess
S, Buza T, et al: Gene Ontology annotations and resources. Nucleic
Acids Res. 41:(Database issue). D530–D535. 2013. View Article : Google Scholar : PubMed/NCBI
|
|
20
|
Kanehisa M, Goto S, Sato Y, Furumichi M
and Tanabe M: KEGG for integration and interpretation of
large-scale molecular data sets. Nucleic Acids Res. 40:(Database
issue). D109–D114. 2012. View Article : Google Scholar : PubMed/NCBI
|
|
21
|
Sherman BT, da Huang W, Tan Q, Guo Y, Bour
S, Liu D, Stephens R, Baseler MW, Lane HC and Lempicki RA: DAVID
Knowledgebase: A gene-centered database integrating heterogeneous
gene annotation resources to facilitate high-throughput gene
functional analysis. BMC Bioinformatics. 8:4262007. View Article : Google Scholar : PubMed/NCBI
|
|
22
|
Xie C, Mao X, Huang J, Ding Y, Wu J, Dong
S, Kong L, Gao G, Li CY and Wei L: KOBAS 2.0: A web server for
annotation and identification of enriched pathways and diseases.
Nucleic Acids Res. 39:(Web Server issue). W316–W322. 2011.
View Article : Google Scholar : PubMed/NCBI
|
|
23
|
Zarjou A, Yang S, Abraham E, Agarwal A and
Liu G: Identification of a microRNA signature in renal fibrosis:
Role of miR-21. Am J Physiol Renal Physiol. 301:F793–F801. 2011.
View Article : Google Scholar : PubMed/NCBI
|
|
24
|
Lan HY: Diverse roles of TGF-β/Smads in
renal fibrosis and inflammation. Int J Biol Sci. 7:1056–1067. 2011.
View Article : Google Scholar : PubMed/NCBI
|
|
25
|
Oldroyd SD, Thomas GL, Gabbiani G and El
Nahas AM: Interferon-gamma inhibits experimental renal fibrosis.
Kidney Int. 56:2116–2127. 1999. View Article : Google Scholar : PubMed/NCBI
|
|
26
|
Lan A, Zhang J, Xiao Z, Peng X, Qi Y and
Du J: Akt2 is involved in loss of epithelial cells and renal
fibrosis following unilateral ureteral obstruction. PLoS One.
9:e1054512014. View Article : Google Scholar : PubMed/NCBI
|
|
27
|
Wang J, Wang Y, Han J, Li Y, Xie C, Xie L,
Shi J, Zhang J, Yang B, Dong C and Xu M: Integrated analysis of
microRNA and mRNA expression profiles in the left atrium of
patients with non-valvular paroxysmal atrial fibrillation: Role of
miR-146b-5p in atrial fibrosis. Heart Rhythm. 12:1018–1026. 2015.
View Article : Google Scholar : PubMed/NCBI
|
|
28
|
Thomas GL, Yang B, Wagner BE, Savill J and
El Nahas AM: Cellular apoptosis and proliferation in experimental
renal fibrosis. Nephrol Dial Transplant. 13:2216–2226. 1998.
View Article : Google Scholar : PubMed/NCBI
|
|
29
|
Tan X, Li Y and Liu Y: Paricalcitol
attenuates renal interstitial fibrosis in obstructive nephropathy.
J Am Soc Nephrol. 17:3382–3393. 2006. View Article : Google Scholar : PubMed/NCBI
|
|
30
|
Zhang G, Oldroyd SD, Huang LH, Yang B, Li
Y, Ye R and El Nahas AM: Role of apoptosis and Bcl-2/Bax in the
development of tubulointerstitial fibrosis during experimental
obstructive nephropathy. Exp Nephrol. 9:71–80. 2001. View Article : Google Scholar : PubMed/NCBI
|
|
31
|
Lan R, Geng H, Polichnowski AJ, Singha PK,
Saikumar P, Mcewen DG, Griffin KA, Koesters R, Weinberg JM, Bidani
AK, et al: PTEN loss defines a TGF-β-induced tubule phenotype of
failed differentiation and JNK signaling during renal fibrosis. Am
J Physiol Renal Physiol. 302:F1210–F1223. 2012. View Article : Google Scholar : PubMed/NCBI
|
|
32
|
Misseri R and Meldrum KK: Mediators of
fibrosis and apoptosis in obstructive uropathies. Curr Urol Rep.
6:140–145. 2005. View Article : Google Scholar : PubMed/NCBI
|
