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pmid:35280389

Identification of differentially expressed and methylated genes and construction of a co-expression network in age-related macular degeneration.

Gaohua Liang · Wenhao Ma · Yanni Luo · Jiayang Yin · Lili Hao · Jingxiang Zhong

Annals of translational medicine · 2022 doi:10.21037/atm-21-7043

Paper

complete

Experiment

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Data

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Analysis

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Record details sci_version · id · kind · revision · content_hash · schema · created_at · updated_at · generator
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title
Identification of differentially expressed and methylated genes and construction of a co-expression network in age-related macular degeneration.
doi
10.21037/atm-21-7043
pmid
35280389
authors array · 6 items
[0]
Gaohua Liang
[1]
Wenhao Ma
[2]
Yanni Luo
[3]
Jiayang Yin
[4]
Lili Hao
[5]
Jingxiang Zhong
journal
Annals of translational medicine
year
2022
abstract
Background: Age-related macular degeneration (AMD) is the leading cause of blindness for people over 50 years old worldwide. The purpose of this study was to identify differentially expressed and methylated genes (DEMGs) and construct a co-expression network for AMD. Methods: Microarray expression (GSE29801 dataset) and DNA methylation (GSE102952 dataset) profiles were retrieved from the Gene Expression Omnibus (GEO) database. Differentially expressed genes (DEGs) and differentially methylated genes (DMGs) were analyzed between AMD retina tissues and normal retina tissues. A protein-protein interaction (PPI) network was constructed and hub genes were screened, followed by functional enrichment analysis. Then, weighted gene co-expression network analysis (WGCNA) was conducted. The ARPE-19 cells were maintained in a hypoxic state to construct an AMD cellular model. Enzyme-linked immunosorbent assay (ELISA) and the real-time qPCR (RT-qPCR) were performed for validation. Results: After overlapping, 16 hypermethylated and down-regulated genes and 15 hypomethylated and up-regulated genes were identified for extramacular AMD. A total of 4 hub genes (LMNB2, EMD, HLA-A, and HLA-B) were screened for AMD in the extramacular retina. Furthermore, 13 hypermethylated and down-regulated genes and 31 hypomethylated and up-regulated genes were identified for macular AMD. Among them, 11 hub genes (HLA-A, HLA-B, HLA-DRB1, IFITM3, SAT1, MAOB, CHRDL1, FSTL1, HSPA1A, AR, and YAP1) were considered hub genes. The DEMGs were distinctly related with immune-related biological processes and pathways. A total of 16 co-expression modules were constructed, of which 2 significantly correlated with AMD. The genes in the 2 modules were involved in various crucial signaling pathways. The HIF1α and VEGF levels were significantly up-regulated in cell supernatant of hypoxia-induced ARPE-19 cells, indicating that the AMD cellular model was successfully established. Hub genes including CHRDL, FSTL1, and IFITM3 displayed significantly higher expression in hypoxia-induced ARPE-19 cells compared to normal cells. Greater up-regulation of CHRDL, FSTL1, and IFITM3 expression was found in hypoxia-induced ARPE-19 cells than in normal cells. Conclusions: These findings offered several key DEMGs and pathways for AMD and constructed AMD-related co-expression modules, deepening understanding of the pathogenesis of AMD.
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Differential expression and methylation analysis was presented using the limma package in R (https://www.rdocumentation.org/packages/limma/versions/3.28.14).
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sections[6] "Differential expression and methylation analysis" paragraph 2
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Differential expression and methylation analysis was presented using the limma package in R (https://www.rdocumentation.org/packages/limma/versions/3.28.14).
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Data Sharing Statement: Available at https://atm.amegroups.com/article/view/10.21037/atm-21-7043/dss
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After overlapping, 16 hypermethylated and down-regulated genes and 15 hypomethylated and up-regulated genes were identified for extramacular AMD.
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After overlapping, 16 hypermethylated and down-regulated genes and 15 hypomethylated and up-regulated genes were identified for extramacular AMD.
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After overlapping, 16 hypermethylated and down-regulated genes and 15 hypomethylated and up-regulated genes were identified for extramacular AMD.
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capability:computational_analysis
label
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assay_families array · 9 items
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machine_learning
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survival_analysis
[3]
statistical_regression
[4]
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[5]
molecular_docking
[6]
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differential_expression
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gwas
candidate
Automated Assays Laravel application and simulated adapters
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readiness object · 8 fields
state
complete
tier
R1
blocked_on
nothing:replicable_now
axes object · 3 fields
method object · 5 fields
tier
R1
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required_operations array · 3 items
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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: limma_voom.
capability object · 4 fields
tier
R1
capability_id
capability:computational_analysis
availability_state
owned
basis
The computational analysis is owned. The physical bench the paper used is not, so a physical validation cannot be run here.
data object · 6 fields
tier
R1
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true
accessions array · 3 items
[0]
GSE29801
[1]
GSE102952
[2]
E-MTAB-7183
resolved_accessions array · 3 items
[0]
GSE29801
[1]
GSE102952
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E-MTAB-7183
statements array · 1 item
[0]
Data Sharing Statement: Available at https://atm.amegroups.com/article/view/10.21037/atm-21-7043/dss
basis
The paper names GSE29801, GSE102952, E-MTAB-7183 in Gene Expression Omnibus (GEO) and the accession resolves in the repository. No dataset was downloaded and no licence was read.
can_run object · 3 fields
dsl_operations array · 3 items
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normalise_counts
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differential_expression_fit
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fdr_bh
assets array · 2 items
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source:pmid:35280389
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data:geo:E-MTAB-7183
steps array · 1 item
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run_analysis
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readers array · 0 items
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data_gaps array · 1 item
[0]
data:geo:E-MTAB-7183
gaps array · 0 items
review object · 5 fields
state
partial
machine_critique object · 5 fields
kind
extraction_review
reader object · 5 fields
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MiniMax-M3.1-Flash
provider
minimax
provider_family
minimax
read_at
2026-11-01T17:37:26Z
independence
single_reader
evidence_check object · 2 fields
method
verbatim
availability
verbatim
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5
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prompt_tokens
13172
completion_tokens
1562
cached_tokens
128
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id
extraction
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MiniMax-M3.1-Flash
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minimax
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execution object · 5 fields
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gaps array · 1 item
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execution.not_run
provenance object · 7 fields
entities array · 3 items
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pmid:35280389
type
paper
label
pmid:35280389
[1] object · 3 fields
id
source:pmid:35280389
type
manuscript
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PMID 35280389 full text
[2] object · 3 fields
id
data:geo:E-MTAB-7183
type
dataset
label
GEO E-MTAB-7183
activities array · 3 items
[0] object · 4 fields
id
activity-reading-sci-2026-11-01
type
classification
used array · 3 items
[0] object · 3 fields
id
pmid:35280389
type
paper
label
pmid:35280389
[1] object · 3 fields
id
source:pmid:35280389
type
manuscript
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PMID 35280389 full text
[2] object · 3 fields
id
data:geo:E-MTAB-7183
type
dataset
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GEO E-MTAB-7183
agent
agent:corpus-assay-engine
[1] object · 4 fields
id
activity-read-35280389
type
extraction
used array · 1 item
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source:pmid:35280389
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agent:minimax-reader
[2] object · 4 fields
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activity-resolve-E-MTAB-7183
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used array · 1 item
[0]
data:geo:E-MTAB-7183
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agent:corpus-assay-engine
agents array · 2 items
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agent:corpus-assay-engine
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software
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agent:minimax-reader
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software
label
MiniMax literature reader
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reading-sci-2026-11-01
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lineage object · 4 fields
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asset:data:geo:GSE102952 licence not read
[3]
asset:data:geo:GSE102952 not downloaded
[4]
asset:data:geo:GSE29801 licence not read
[5]
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assays array · 4 items
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99e1195c7d6f
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99e1195c7d6f
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0.93
evidence array · 1 item
[0]
ct a co-expression network for AMD. Methods: Microarray expression (GSE29801 dataset) and DNA methyl
order_basis
paper_text_order:377
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assay:1
[1] object · 11 fields
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data_generation
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99e1195c7d6f
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99e1195c7d6f
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[0]
ar model. Enzyme-linked immunosorbent assay (ELISA) and the real-time qPCR (RT-qPCR) were perfo
[1]
ic state to construct an AMD cellular model. Enzyme-linked immunosorbent assay (ELISA) and the real-time qPCR (RT-qPCR) wer
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paper_text_order:976
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assay:2
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data_generation
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99e1195c7d6f
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[0]
orbent assay (ELISA) and the real-time qPCR (RT-qPCR) were performed for validation. Results: Aft
[1]
mmunosorbent assay (ELISA) and the real-time qPCR (RT-qPCR) were performed for validation. Res
[2]
ent assay (ELISA) and the real-time qPCR (RT-qPCR) were performed for validation. Results: Aft
order_basis
paper_text_order:1036
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assay:3
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differential_expression
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Differential expression and methylation analysis was presented using the limma package in R (https://www.rdocumentation.org/packages/limma/versions/3.28.14).
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Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:35280389", "kind": "science-record", "revision": 5, "content_hash": "sha256:39a3dc97a87df8621d620dce661b41f2003bab31722201fe407826eb6628faae", "created_at": "2026-11-01T18:14:03Z", "updated_at": "2026-11-01T22:48:38Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Identification of differentially expressed and methylated genes and construction of a co-expression network in age-related macular degeneration.", "doi": "10.21037/atm-21-7043", "pmid": "35280389", "authors": ["Gaohua Liang", "Wenhao Ma", "Yanni Luo", "Jiayang Yin", "Lili Hao", "Jingxiang Zhong"], "journal": "Annals of translational medicine", "year": 2022, "abstract": "Background: Age-related macular degeneration (AMD) is the leading cause of blindness for people over 50 years old worldwide. The purpose of this study was to identify differentially expressed and methylated genes (DEMGs) and construct a co-expression network for AMD.\nMethods: Microarray expression (GSE29801 dataset) and DNA methylation (GSE102952 dataset) profiles were retrieved from the Gene Expression Omnibus (GEO) database. Differentially expressed genes (DEGs) and differentially methylated genes (DMGs) were analyzed between AMD retina tissues and normal retina tissues. A protein-protein interaction (PPI) network was constructed and hub genes were screened, followed by functional enrichment analysis. Then, weighted gene co-expression network analysis (WGCNA) was conducted. The ARPE-19 cells were maintained in a hypoxic state to construct an AMD cellular model. Enzyme-linked immunosorbent assay (ELISA) and the real-time qPCR (RT-qPCR) were performed for validation.\nResults: After overlapping, 16 hypermethylated and down-regulated genes and 15 hypomethylated and up-regulated genes were identified for extramacular AMD. A total of 4 hub genes (LMNB2, EMD, HLA-A, and HLA-B) were screened for AMD in the extramacular retina. Furthermore, 13 hypermethylated and down-regulated genes and 31 hypomethylated and up-regulated genes were identified for macular AMD. Among them, 11 hub genes (HLA-A, HLA-B, HLA-DRB1, IFITM3, SAT1, MAOB, CHRDL1, FSTL1, HSPA1A, AR, and YAP1) were considered hub genes. The DEMGs were distinctly related with immune-related biological processes and pathways. A total of 16 co-expression modules were constructed, of which 2 significantly correlated with AMD. The genes in the 2 modules were involved in various crucial signaling pathways. The HIF1α and VEGF levels were significantly up-regulated in cell supernatant of hypoxia-induced ARPE-19 cells, indicating that the AMD cellular model was successfully established. Hub genes including CHRDL, FSTL1, and IFITM3 displayed significantly higher expression in hypoxia-induced ARPE-19 cells compared to normal cells. Greater up-regulation of CHRDL, FSTL1, and IFITM3 expression was found in hypoxia-induced ARPE-19 cells than in normal cells.\nConclusions: These findings offered several key DEMGs and pathways for AMD and constructed AMD-related co-expression modules, deepening understanding of the pathogenesis of AMD.", "claims": [{"id": "claim-method", "statement": "Differential expression and methylation analysis was presented using the limma package in R (https://www.rdocumentation.org/packages/limma/versions/3.28.14).", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:35280389", "locator": "sections[6] \"Differential expression and methylation analysis\" paragraph 2", "quote": "Differential expression and methylation analysis was presented using the limma package in R (https://www.rdocumentation.org/packages/limma/versions/3.28.14)."}], "state": "complete"}, {"id": "claim-data-access", "statement": "Data Sharing Statement: Available at https://atm.amegroups.com/article/view/10.21037/atm-21-7043/dss", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:35280389", "locator": "sections[31] \"(untitled)\" paragraph 1", "quote": "Data Sharing Statement: Available at https://atm.amegroups.com/article/view/10.21037/atm-21-7043/dss"}], "state": "complete"}, {"id": "claim-target-result", "statement": "After overlapping, 16 hypermethylated and down-regulated genes and 15 hypomethylated and up-regulated genes were identified for extramacular AMD.", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:35280389", "locator": "sections[0] \"Abstract\" paragraph 3", "quote": "After overlapping, 16 hypermethylated and down-regulated genes and 15 hypomethylated and up-regulated genes were identified for extramacular AMD."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "After overlapping, 16 hypermethylated and down-regulated genes and 15 hypomethylated and up-regulated genes were identified for extramacular AMD.", "steps": [{"id": "read_published_estimate", "order": 1, "name": "Read the published estimate from the source", "kind": "other", "state": "complete", "blocked_on": null, "description": "The claim, method and evidence span published with the source article.", "duration_hours": null, "parameters": {}, "inputs": ["source:pmid:35280389"], "outputs": ["the published estimate and its evidence"], "instruments": [], "reagents": []}, {"id": "obtain_source_data", "order": 2, "name": "Obtain the source data from the named repository", "kind": "data-preparation", "state": "complete", "blocked_on": null, "description": "The GEO series accession resolves and its sample accessions are listed. This lane did not download the dataset or read its licence.", "duration_hours": null, "parameters": {}, "inputs": ["data:geo:E-MTAB-7183"], "outputs": ["the source data with its repository provenance"], "instruments": [], "reagents": []}, {"id": "run_analysis", "order": 3, "name": "Run the published analysis", "kind": "analysis", "state": "complete", "blocked_on": null, "description": "Apply the paper's statistical method to the resolved series and compare the result with the published target.", "duration_hours": null, "parameters": {}, "inputs": ["data:geo:E-MTAB-7183"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:35280389", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.21037/atm-21-7043", "sha256": 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