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pmid:38801243

Impact of RANGAP1 SUMOylation on Smad4 nuclear export by bioinformatic analysis and cell assays.

Feng Zhang · Jun Yang · Yifei Cheng

Biomolecules & biomedicine · 2024 doi:10.17305/bb.2024.10443

Paper

complete

Experiment

complete

Data

partial

Analysis

partial

Execution

absent

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title
Impact of RANGAP1 SUMOylation on Smad4 nuclear export by bioinformatic analysis and cell assays.
doi
10.17305/bb.2024.10443
pmid
38801243
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[0]
Feng Zhang
[1]
Jun Yang
[2]
Yifei Cheng
journal
Biomolecules & biomedicine
year
2024
abstract
Small Ubiquitin-like Modifier (SUMOylation) regulates a variety of cellular activities, and its dysregulation has been associated with glioma etiology. The aim of this research was to clarify the function of SUMOylation-related genes in glioma and determine relevant prognostic markers. The Cancer Genome Atlas (TCGA) Glioma and GSE16011 datasets were analyzed through bioinformatics to identify Ran GTPase activating protein 1 (RANGAP1) as the hub gene for further study. Experimental validation consisted of quantitative real-time polymerase chain reaction (qRT-PCR), western blotting (WB), and immunoprecipitation (IP) to evaluate RANGAP1 expression, function, and interaction with SUMO1. To assess the role of RANGAP1 knockdown and SUMOylation in glioma cells, various assays were conducted, including cell proliferation, migration, invasion, and apoptosis. In addition, cell cycle analysis and immunofluorescence were performed. Through bioinformatics, RANGAP1 was identified as a crucial prognostic gene for glioma. Experimental studies confirmed the downregulation of RANGAP1 in glioma cells and verified that RANGAP1 repair impedes tumor growth. When it comes to RANGAP1 silencing, it enhanced cell proliferation, invasion and migration. Additionally, SUMO1 was identified as a specific SUMO molecule coupled to RANGAP1, affecting the location of Sma and Mad related protein 4 (Smad4) in the nucleocytoplasm and the transforming growth factor (TGF)-β/Smad signaling pathway. The functional impact of RANGAP1 SUMOylation on cell proliferation and migration was further confirmed through experiments using a SUMOylation-impairing mutation (K524R). Our findings suggest that RANGAP1 may be a potential prognostic marker in gliomas and could play a role in regulating cell proliferation, migration, and invasion. SUMOylation of RANGAP1 is responsible for regulating the TGF-β/Smad signaling pathway, which is crucial for the progression of tumors. Further investigations and experiments are necessary to confirm these results.
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Utilizing LASSO Cox regression analysis on the 50 intersection genes, we identified 11 signature prognostic genes with significant implications for glioma survival, determined by the optimal lambda value (lambda.min ═ 0.0454) (Figure 2A and 2B).
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sections[21] "Prognostic analysis of 11 signature genes" paragraph 2
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Utilizing LASSO Cox regression analysis on the 50 intersection genes, we identified 11 signature prognostic genes with significant implications for glioma survival, determined by the optimal lambda value (lambda.min ═ 0.0454) (Figure 2A and 2B).
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sections[32] "Data Availability" paragraph 2
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The data that support the findings of this study are available on request from the corresponding author upon reasonable request.
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Therefore, due to its prognostic significance and unique expression characteristics, RANGAP1 was selected as the hub gene for subsequent analysis.
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sections[22] "Identification of prognostic genes in glioma and selection of RANGAP1 as a potential therapeutic target" paragraph 2
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Therefore, due to its prognostic significance and unique expression characteristics, RANGAP1 was selected as the hub gene for subsequent analysis.
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Therefore, due to its prognostic significance and unique expression characteristics, RANGAP1 was selected as the hub gene for subsequent analysis.
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Intrinsic Gene Expression Profiles of Gliomas are a Better Predictor of Survival than Histology
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Utilizing LASSO Cox regression analysis on the 50 intersection genes, we identified 11 signature prognostic genes with significant implications for glioma survival, determined by the optimal lambda value (lambda.min ═ 0.0454) (Figure 2A and 2B).
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agent:corpus-assay-engine
type
software
label
Corpus assay engine
[1] object · 3 fields
id
agent:minimax-reader
type
software
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MiniMax literature reader
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dsl_catalogue_fingerprint
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capability_table_fingerprint
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lineage object · 4 fields
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pmid:38801243
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sha256:e5b37b4e4c2b4f2b5cd65fa049a6a57f50ea0c59ae15bd68cdbda0ada40b28a3
fork_of
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gaps array · 7 items
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asset:data:geo:GSE16011 licence not read
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asset:data:geo:GSE16011 not downloaded
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method.reader_differs_from_extractor
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review.human_critique
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review.independent_reader
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review.machine_critique
assays array · 5 items
[0] object · 11 fields
role
data_generation
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western_blot
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99e1195c7d6f
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support_state
partial
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assay_lexicon
99e1195c7d6f
confidence
0.93
evidence array · 1 item
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al-time polymerase chain reaction (qRT-PCR), western blotting (WB), and immunoprecipitation (IP) to evalua
order_basis
paper_text_order:622
id
assay:1
[1] object · 11 fields
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data_generation
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transfection
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99e1195c7d6f
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support_state
partial
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assay_lexicon
99e1195c7d6f
confidence
0.85
evidence array · 1 item
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on with SUMO1. To assess the role of RANGAP1 knockdown and SUMOylation in glioma cells, various ass
order_basis
paper_text_order:774
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assay:2
[2] object · 11 fields
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apoptosis_assay
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cell proliferation, migration, invasion, and apoptosis. In addition, cell cycle analysis and immuno
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t of the Fanconi anemia pathway, cell cycle, Apoptosis pathways, etc. (Figure 1E). In GO term, key
order_basis
paper_text_order:903
id
assay:3
[3] object · 11 fields
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data_generation
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99e1195c7d6f
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99e1195c7d6f
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evidence array · 1 item
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ptosis. In addition, cell cycle analysis and immunofluorescence were performed. Through bioinformatics, RANG
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paper_text_order:951
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assay:4
[4] object · 11 fields
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survival_analysis
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cox_ph
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f2132e96ae6c7a4e
evidence array · 1 item
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Utilizing LASSO Cox regression analysis on the 50 intersection genes, we identified 11 signature prognostic genes with significant implications for glioma survival, determined by the optimal lambda value (lambda.min ═ 0.0454) (Figure 2A and 2B).
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Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:38801243", "kind": "science-record", "revision": 3, "content_hash": "sha256:eb69f110b00f0a1c0acbd0202a9e900f25192f2d69652f0a308d47e44021c8f2", "created_at": "2026-11-01T19:20:45Z", "updated_at": "2026-11-01T22:11:56Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Impact of RANGAP1 SUMOylation on Smad4 nuclear export by bioinformatic analysis and cell assays.", "doi": "10.17305/bb.2024.10443", "pmid": "38801243", "authors": ["Feng Zhang", "Jun Yang", "Yifei Cheng"], "journal": "Biomolecules & biomedicine", "year": 2024, "abstract": "Small Ubiquitin-like Modifier (SUMOylation) regulates a variety of cellular activities, and its dysregulation has been associated with glioma etiology. The aim of this research was to clarify the function of SUMOylation-related genes in glioma and determine relevant prognostic markers. The Cancer Genome Atlas (TCGA) Glioma and GSE16011 datasets were analyzed through bioinformatics to identify Ran GTPase activating protein 1 (RANGAP1) as the hub gene for further study. Experimental validation consisted of quantitative real-time polymerase chain reaction (qRT-PCR), western blotting (WB), and immunoprecipitation (IP) to evaluate RANGAP1 expression, function, and interaction with SUMO1. To assess the role of RANGAP1 knockdown and SUMOylation in glioma cells, various assays were conducted, including cell proliferation, migration, invasion, and apoptosis. In addition, cell cycle analysis and immunofluorescence were performed. Through bioinformatics, RANGAP1 was identified as a crucial prognostic gene for glioma. Experimental studies confirmed the downregulation of RANGAP1 in glioma cells and verified that RANGAP1 repair impedes tumor growth. When it comes to RANGAP1 silencing, it enhanced cell proliferation, invasion and migration. Additionally, SUMO1 was identified as a specific SUMO molecule coupled to RANGAP1, affecting the location of Sma and Mad related protein 4 (Smad4) in the nucleocytoplasm and the transforming growth factor (TGF)-β/Smad signaling pathway. The functional impact of RANGAP1 SUMOylation on cell proliferation and migration was further confirmed through experiments using a SUMOylation-impairing mutation (K524R). Our findings suggest that RANGAP1 may be a potential prognostic marker in gliomas and could play a role in regulating cell proliferation, migration, and invasion. SUMOylation of RANGAP1 is responsible for regulating the TGF-β/Smad signaling pathway, which is crucial for the progression of tumors. Further investigations and experiments are necessary to confirm these results.", "claims": [{"id": "claim-method", "statement": "Utilizing LASSO Cox regression analysis on the 50 intersection genes, we identified 11 signature prognostic genes with significant implications for glioma survival, determined by the optimal lambda value (lambda.min ═ 0.0454) (Figure 2A and 2B).", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:38801243", "locator": "sections[21] \"Prognostic analysis of 11 signature genes\" paragraph 2", "quote": "Utilizing LASSO Cox regression analysis on the 50 intersection genes, we identified 11 signature prognostic genes with significant implications for glioma survival, determined by the optimal lambda value (lambda.min ═ 0.0454) (Figure 2A and 2B)."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The data that support the findings of this study are available on request from the corresponding author upon reasonable request.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:38801243", "locator": "sections[32] \"Data Availability\" paragraph 2", "quote": "The data that support the findings of this study are available on request from the corresponding author upon reasonable request."}], "state": "complete"}, {"id": "claim-target-result", "statement": "Therefore, due to its prognostic significance and unique expression characteristics, RANGAP1 was selected as the hub gene for subsequent analysis.", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:38801243", "locator": "sections[22] \"Identification of prognostic genes in glioma and selection of RANGAP1 as a potential therapeutic target\" paragraph 2", "quote": "Therefore, due to its prognostic significance and unique expression characteristics, RANGAP1 was selected as the hub gene for subsequent analysis."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "Therefore, due to its prognostic significance and unique expression characteristics, RANGAP1 was selected as the hub gene for subsequent analysis.", "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:38801243"], "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. 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