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pmid:33251198

Regulation of Ptch1 by miR-342-5p and FoxO3 Induced Autophagy Involved in Renal Fibrosis.

Simin Tang · Yi Wang · Guiling Xie · Wenjun Li · Yanna Chen · Jinshu Liang · Pei Liu · Fuhu Song · Jun Zhou

Frontiers in bioengineering and biotechnology · 2020 doi:10.3389/fbioe.2020.583318

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Experiment

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Data

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title
Regulation of Ptch1 by miR-342-5p and FoxO3 Induced Autophagy Involved in Renal Fibrosis.
doi
10.3389/fbioe.2020.583318
pmid
33251198
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Simin Tang
[1]
Yi Wang
[2]
Guiling Xie
[3]
Wenjun Li
[4]
Yanna Chen
[5]
Jinshu Liang
[6]
Pei Liu
[7]
Fuhu Song
[8]
Jun Zhou
journal
Frontiers in bioengineering and biotechnology
year
2020
abstract
The pathogenesis of renal fibrosis (RF) is not well understood. Here, we performed an integrative database analysis of miRNAs and mRNAs to discover the major regulatory pathway in RF. Putative miRNAs and mRNAs involved in RF in unilateral ureteral obstruction (UUO) model mice were extracted and analyzed using the Gene Expression Omnibus (GEO) database. The bioinformatics analysis suggested that Ptch1 expression is regulated by miR-342-5p and FoxO3. Then real-time PCR, Western blot, Fluorescence in situ hybridization were done to confirm the hypothesis. Sixty-three differentially expressed miRNAs (DE-miRNAs) in GSE118340, 141 DE-miRNAs in GSE42716, and 183 DE-mRNAs in GSE69101 were identified. Various bioinformatic analyses revealed miR-342-5p as a strong candidate regulator in RF. We also predicted that miR-342-5p targets Ptch1 and that FoxO3 is the transcription factor of Ptch1. We also observed that TGF-β1 upregulated the expression of miR-342-5p and inhibited the expression of FoxO3 and Ptch1 in TCMK-1 cells. Furthermore, downregulation of miR-342-5p reversed the inhibitory effect of TGF-β1 on the expression of Ptch1 in TCMK-1 cells, while downregulation of FoxO3 promoted the inhibitory effect of TGF-β1 on the expression of Ptch1. Additionally, downregulation of Ptch1 increased TGF-β1-induced autophagy, as evidenced by an increase in the number of GFP-LC3 puncta and the increased protein expression of SOSTM1/p62 and LC3II/LC3I. Our findings showed that Ptch1 expression is negatively regulated by miR-342-5p and positively regulated by FoxO3, and downregulation of Ptch1 induced autophagy in TGF-β1-stimulated TCMK-1 cells. These findings will further our understanding of the molecular mechanisms of RF and provide useful novel therapeutic targets for RF.
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The R software “DESeq2” package was used to identify DE-miRNAs in kidney tissues between UUO and sham control (Love et al., 2014). Two miRNA datasets, GSE118340 and GSE42716, were downloaded from the GEO database1.
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sections[4] "Identification of Differentially Expressed miRNAs (DE-miRNAs) and mRNAs (DE-mRNAs)" paragraph 2
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The R software “DESeq2” package was used to identify DE-miRNAs in kidney tissues between UUO and sham control (Love et al., 2014).
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Two miRNA datasets, GSE118340 and GSE42716, were downloaded from the GEO database1.
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Targetscan7.2 predicts the mRNA targets of miR-342-5p.
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Prediction of miR-342-5p and FoxO3 Correlation With Ptch1
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Targetscan7.2 predicts the mRNA targets of miR-342-5p.
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ENSMUST00000110191.3
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49
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1
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0
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1
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−0.13
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ENSMUST00000043208.7
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266
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1
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0
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1
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−0.09
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ENSMUST00000047973.3
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9729
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2
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0
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0
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2
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1
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−0.08
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−0.16
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[0]
Vti1a
[1]
ENSMUST00000095950.2
[2]
693
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1
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0
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0
[6]
1
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0
[8]
−0.02
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−0.03
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[0]
Ap2m1
[1]
ENSMUST00000007216.8
[2]
2635
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1
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0
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0
[6]
1
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0
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0
[9]
−0.08
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Carhsp1
[1]
ENSMUST00000008537.8
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1872
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1
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0
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1
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0
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0
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0
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locator
section[19]/table-wrap[1]#T1
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asset:table:pmid:33251198:2
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jats-table
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application/vnd.jats.table+json
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sha256:af19627674e9bfa4c58827cb7899d2125edd790f3bc242f328a2b5033e737177
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verified
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section[19]/table-wrap[2]#T2
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null
note
CTD database assesses the inference score of targeting mRNAs in chronic renal disease.
structure object · 5 fields
pmcid
PMC7673434
section_index
19
section_title
Prediction of miR-342-5p and FoxO3 Correlation With Ptch1
row_count
9
column_count
4
table object · 8 fields
label
TABLE 2
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CTD database assesses the inference score of targeting mRNAs in chronic renal disease.
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[0]
Gene symbol
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Disease name
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Direct evidence
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Inference score
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Dhcr24
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Kidney failure, chronic
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0
[3]
33.74
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Carhsp1
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Kidney failure, chronic
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0
[3]
25.27
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[0]
Gcnt2
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Kidney failure, chronic
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[3]
17.3
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Six4
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Kidney failure, chronic
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[3]
17.1
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[0]
Vti1a
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Kidney failure, chronic
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0
[3]
16.9
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[0]
Ap2m1
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Kidney failure, chronic
[2]
0
[3]
16.4
[7] array · 4 items
[0]
Ptch1
[1]
Kidney failure, chronic
[2]
0
[3]
12.45
[8] array · 4 items
[0]
Vsx2
[1]
Kidney failure, chronic
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0
[3]
2.65
locator
section[19]/table-wrap[2]#T2
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asset:data:geo:GSE118340 not downloaded
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asset:data:geo:GSE118340 licence not read
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asset:data:geo:GSE69101 licence not read
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analysis object · 4 fields
state
complete
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method-1
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differential_expression
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deseq2
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normalise_counts
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differential_expression_fit
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fdr_bh
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count_matrix_with_condition
evidence object · 3 fields
score
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quote
The R software “DESeq2” package was used to identify DE-miRNAs in kidney tissues between UUO and sham control (Love et al., 2014). Two miRNA datasets, GSE118340 and GSE42716, were downloaded from the GEO database1.
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capability object · 3 fields
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complete
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capability:computational_analysis
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meta_analysis
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pca
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molecular_docking
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differential_expression
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gwas
candidate
Automated Assays Laravel application and simulated adapters
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state
complete
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R1
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normalise_counts
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differential_expression_fit
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fdr_bh
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basis
The paper names the method it used and the corpus's method extractor maps it onto the DSL catalogue: deseq2.
capability object · 4 fields
tier
R1
capability_id
capability:computational_analysis
availability_state
owned
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The computational analysis is owned. The physical bench the paper used is not, so a physical validation cannot be run here.
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tier
R1
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GSE118340
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GSE42716
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GSE69101
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GSE96101
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GSE121190
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[0]
GSE118340
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GSE42716
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GSE69101
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GSE96101
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GSE121190
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The data that support the findings of this study are downloaded from the GEO database (https://www.ncbi.nlm.nih.gov/geo/; GEO accession numbers: GSE118340, GSE42716, and GSE121190). All in vitro experiments data generated in this study are included in the article/Supplementary Material.
basis
The paper names GSE118340, GSE42716, GSE69101, GSE96101, GSE121190 in Gene Expression Omnibus (GEO) and the accession resolves in the repository. No dataset was downloaded and no licence was read.
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normalise_counts
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differential_expression_fit
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fdr_bh
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source:pmid:33251198
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asset:table:pmid:33251198:1
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run_analysis
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data:geo:GSE118340
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review object · 5 fields
state
partial
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kind
extraction_review
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model
MiniMax-M3.1-Flash
provider
minimax
provider_family
minimax
read_at
2026-10-31T18:24:44Z
independence
single_reader
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method
reordered
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pmid:33251198
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source:pmid:33251198
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PMID 33251198 full text
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data:geo:GSE118340
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source:pmid:33251198
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data:geo:GSE118340
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GEO GSE118340
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agent:corpus-assay-engine
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source:pmid:33251198
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activity-resolve-GSE118340
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agent:minimax-reader
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pmid:33251198
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asset:data:geo:GSE118340 licence not read
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[7]
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[8]
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execution.not_run
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unilateral ureteral obstruction (UUO) model mice were extracted and analyzed using the Gene Expres
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rials and Methods Cell Culture and Treatment Mouse kidney epithelial cell line TCMK-1 was cultu
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The R software “DESeq2” package was used to identify DE-miRNAs in kidney tissues between UUO and sham control (Love et al., 2014). Two miRNA datasets, GSE118340 and GSE42716, were downloaded from the GEO database1.
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Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:33251198", "kind": "science-record", "revision": 8, "content_hash": "sha256:55c118a6aae6ede04f7e4eaba7eccac87f8f43402a6dd1db2af748e846ba735c", "created_at": "2026-11-01T15:41:17Z", "updated_at": "2026-11-01T22:45:42Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Regulation of Ptch1 by miR-342-5p and FoxO3 Induced Autophagy Involved in Renal Fibrosis.", "doi": "10.3389/fbioe.2020.583318", "pmid": "33251198", "authors": ["Simin Tang", "Yi Wang", "Guiling Xie", "Wenjun Li", "Yanna Chen", "Jinshu Liang", "Pei Liu", "Fuhu Song", "Jun Zhou"], "journal": "Frontiers in bioengineering and biotechnology", "year": 2020, "abstract": "The pathogenesis of renal fibrosis (RF) is not well understood. Here, we performed an integrative database analysis of miRNAs and mRNAs to discover the major regulatory pathway in RF. Putative miRNAs and mRNAs involved in RF in unilateral ureteral obstruction (UUO) model mice were extracted and analyzed using the Gene Expression Omnibus (GEO) database. The bioinformatics analysis suggested that Ptch1 expression is regulated by miR-342-5p and FoxO3. Then real-time PCR, Western blot, Fluorescence in situ hybridization were done to confirm the hypothesis. Sixty-three differentially expressed miRNAs (DE-miRNAs) in GSE118340, 141 DE-miRNAs in GSE42716, and 183 DE-mRNAs in GSE69101 were identified. Various bioinformatic analyses revealed miR-342-5p as a strong candidate regulator in RF. We also predicted that miR-342-5p targets Ptch1 and that FoxO3 is the transcription factor of Ptch1. We also observed that TGF-β1 upregulated the expression of miR-342-5p and inhibited the expression of FoxO3 and Ptch1 in TCMK-1 cells. Furthermore, downregulation of miR-342-5p reversed the inhibitory effect of TGF-β1 on the expression of Ptch1 in TCMK-1 cells, while downregulation of FoxO3 promoted the inhibitory effect of TGF-β1 on the expression of Ptch1. Additionally, downregulation of Ptch1 increased TGF-β1-induced autophagy, as evidenced by an increase in the number of GFP-LC3 puncta and the increased protein expression of SOSTM1/p62 and LC3II/LC3I. Our findings showed that Ptch1 expression is negatively regulated by miR-342-5p and positively regulated by FoxO3, and downregulation of Ptch1 induced autophagy in TGF-β1-stimulated TCMK-1 cells. These findings will further our understanding of the molecular mechanisms of RF and provide useful novel therapeutic targets for RF.", "claims": [{"id": "claim-method", "statement": "The R software “DESeq2” package was used to identify DE-miRNAs in kidney tissues between UUO and sham control (Love et al., 2014). 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