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pmid:35728518

Identification and Verification of Ubiquitin D as a Gene Associated with Hepatitis C Virus-Induced Hepatocellular Carcinoma.

Huanqin Li · Shumin Liu · Yun Lin · Xiongfei Shi · Na Du · Jing Yao · Ruiyang Liu · Yan Du · Kai Yang

Intervirology · 2022 doi:10.1159/000525543

Paper

complete

Experiment

complete

Data

partial

Analysis

partial

Execution

absent

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Record details sci_version · id · kind · revision · content_hash · schema · created_at · updated_at · generator
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pmid:35728518
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science-record
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sha256:a865bde32d9abf80ee0eb742d24bcaba746293195db14fd14cdccae1707156d4
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https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json
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2026-11-01T18:14:45Z
updated_at
2026-11-01T22:49:22Z
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paper object · 10 fields
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title
Identification and Verification of Ubiquitin D as a Gene Associated with Hepatitis C Virus-Induced Hepatocellular Carcinoma.
doi
10.1159/000525543
pmid
35728518
authors array · 9 items
[0]
Huanqin Li
[1]
Shumin Liu
[2]
Yun Lin
[3]
Xiongfei Shi
[4]
Na Du
[5]
Jing Yao
[6]
Ruiyang Liu
[7]
Yan Du
[8]
Kai Yang
journal
Intervirology
year
2022
abstract
INTRODUCTION: Accumulated studies have suggested that hepatitis C virus (HCV) infection is one of the leading causes for hepatocellular carcinoma (HCC). However, the mechanisms underlying the effect of HCV on the occurrence of HCC are still poorly understood. METHODS: HCV infection datasets (GSE82177 and GSE17856) and HCC datasets (The Cancer Genome Atlas Liver Hepatocellular Carcinoma and GSE89377) were downloaded from Gene Expression Omnibus or TCGA for analysis. The common differentially expressed genes in the above four datasets were identified by R software. The expression of ubiquitin D (UBD) in HCV-infected HepG2 cells was detected by RT-qPCR and Western blot, respectively. The interaction between NS3 and p53 was detected by co-immunoprecipitation. The influence of UBD on the proliferation and migration ability of HepG2 cells was evaluated by CCK-8 and wound healing assay, respectively. RESULTS: UBD was upregulated in both HCV-infected samples and HCC samples. HCV NS3 interacted with p53 and inhibited its expression. HCV NS3-induced UBD promoted the proliferation and migration of HepG2 cells. CONCLUSION: Our results suggest that HCV NS3-induced UBD is positively correlated with the development of HCV-related HCC during HCV infection. Targeting UBD could be a potential strategy for preventing and treating HCV-induced HCC.
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Analysis of differentially expressed genes (DEGs) was performed with the DESeq2 and Limma package of R software [38]. We set adjusted p value (adj.p.val) < 0.05 and |log2 fold change (log2.fc.) >1 as the cutoff criteria. The common DEGs were identified by integrating each DEG in the four datasets with the Robust Rank Aggreg package of R software.
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sections[4] "Identification of Common Differentially Expressed Genes in HCV Infection and HCC" paragraph 2
quote
Analysis of differentially expressed genes (DEGs) was performed with the DESeq2 and Limma package of R software [38]. We set adjusted p value (adj.p.val) < 0.05 and |log2 fold change (log2.fc.) >1 as the cutoff criteria. The common DEGs were identified by integrating each DEG in the four datasets with the Robust Rank Aggreg package of R software.
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sections[25] "Data Availability Statement" paragraph 2
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All datasets generated for this study are included in the manuscript/online supplementary Files. Further inquiries can be directed to the corresponding author.
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HCV NS3-induced UBD promoted the proliferation and migration of HepG2 cells.
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HCV NS3-induced UBD promoted the proliferation and migration of HepG2 cells.
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HCV NS3-induced UBD promoted the proliferation and migration of HepG2 cells.
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Gene expression in nontumoral liver tissue and recurrence-free survival in hepatitis C virus-positive HCC
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Human liver RNA-seq data corresponding to uninfected non-malignant, HCV infected non-malignant, and HCV+ HCC tissue
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Identifying novel drivers of human hepatocellular carcinoma and revealing clinical relevance as early diagnostic and prognostic biomarker
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Analysis of differentially expressed genes (DEGs) was performed with the DESeq2 and Limma package of R software [38]. We set adjusted p value (adj.p.val) < 0.05 and |log2 fold change (log2.fc.) >1 as the cutoff criteria. The common DEGs were identified by integrating each DEG in the four datasets with the Robust Rank Aggreg package of R software.
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GEO GSE17856
agent
agent:corpus-assay-engine
[1] object · 4 fields
id
activity-read-35728518
type
extraction
used array · 1 item
[0]
source:pmid:35728518
agent
agent:minimax-reader
[2] object · 4 fields
id
activity-resolve-GSE17856
type
accession_resolution
used array · 1 item
[0]
data:geo:GSE17856
agent
agent:corpus-assay-engine
agents array · 2 items
[0] object · 3 fields
id
agent:corpus-assay-engine
type
software
label
Corpus assay engine
[1] object · 3 fields
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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
dsl_catalogue_fingerprint
343fb30756ba6ec3
capability_table_fingerprint
2cb3e42f047d2ecf
snapshot_id
ba34b49490d9bfaf
lineage object · 4 fields
parent_id
pmid:35728518
parent_hash
sha256:4d675a95272d1da7202329bdb448851c65fa5f19af858f5cb5aa967fff5e14e3
fork_of
null
gaps array · 11 items
[0]
asset:data:geo:GSE17856 licence not read
[1]
asset:data:geo:GSE17856 not downloaded
[2]
asset:data:geo:GSE82177 licence not read
[3]
asset:data:geo:GSE82177 not downloaded
[4]
asset:data:geo:GSE89377 licence not read
[5]
asset:data:geo:GSE89377 not downloaded
[6]
execution.not_run
[7]
method.reader_differs_from_extractor
[8]
review.human_critique
[9]
review.independent_reader
[10]
review.machine_critique
assays array · 6 items
[0] object · 11 fields
role
data_generation
definition_id
cell_culture
definition_version
99e1195c7d6f
required_operations array · 0 items
support_state
partial
source_hashes object · 1 field
assay_lexicon
99e1195c7d6f
confidence
0.99
evidence array · 4 items
[0]
ression of ubiquitin D (UBD) in HCV-infected HepG2 cells was detected by RT-qPCR and Western bl
[1]
n the proliferation and migration ability of HepG2 cells was evaluated by CCK-8 and wound heali
[2]
promoted the proliferation and migration of HepG2 cells. CONCLUSION: Our results suggest that
[3]
se Academy of Sciences, Shanghai, China) and cultured in DMEM medium (Gibco, Waltham, MA, USA) with 1
order_basis
paper_text_order:702
id
assay:1
[1] object · 11 fields
role
data_generation
definition_version
99e1195c7d6f
required_operations array · 0 items
support_state
partial
source_hashes object · 1 field
assay_lexicon
99e1195c7d6f
confidence
0.99
evidence array · 2 items
[0]
in HCV-infected HepG2 cells was detected by RT-qPCR and Western blot, respectively. The interact
[1]
HCV-infected HepG2 cells was detected by RT-qPCR and Western blot, respectively. The interact
order_basis
paper_text_order:731
id
assay:2
[2] object · 11 fields
role
data_generation
definition_id
western_blot
definition_version
99e1195c7d6f
required_operations array · 0 items
support_state
partial
source_hashes object · 1 field
assay_lexicon
99e1195c7d6f
confidence
0.93
evidence array · 1 item
[0]
cted HepG2 cells was detected by RT-qPCR and Western blot, respectively. The interaction between NS3 a
order_basis
paper_text_order:742
id
assay:3
[3] object · 11 fields
role
data_generation
definition_id
apoptosis_assay
definition_version
99e1195c7d6f
required_operations array · 0 items
support_state
partial
source_hashes object · 1 field
assay_lexicon
99e1195c7d6f
confidence
0.93
evidence array · 1 item
[0]
tion ability of HepG2 cells was evaluated by CCK-8 and wound healing assay, respectively. RESUL
order_basis
paper_text_order:942
id
assay:4
[4] object · 11 fields
role
data_generation
definition_id
rna_seq
definition_version
99e1195c7d6f
required_operations array · 0 items
support_state
partial
source_hashes object · 1 field
assay_lexicon
99e1195c7d6f
confidence
0.93
evidence array · 1 item
[0]
in HCV-infected samples and HCC samples, two RNA-seq datasets (GSE82177 and TCGA-LIHC) and two mR
order_basis
paper_text_order:2646
id
assay:5
[5] object · 11 fields
role
analysis
definition_id
differential_expression
definition_version
f2132e96ae6c7a4e
required_operations array · 3 items
[0]
normalise_counts
[1]
differential_expression_fit
[2]
fdr_bh
support_state
supported
source_hashes object · 1 field
dsl_catalogue
f2132e96ae6c7a4e
evidence array · 1 item
[0]
Analysis of differentially expressed genes (DEGs) was performed with the DESeq2 and Limma package of R software [38]. We set adjusted p value (adj.p.val) < 0.05 and |log2 fold change (log2.fc.) >1 as the cutoff criteria. The common DEGs were identified by integrating each DEG in the four datasets with the Robust Rank Aggreg package of R software.
order_basis
consumes_earlier_output
id
assay:6
Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:35728518", "kind": "science-record", "revision": 5, "content_hash": "sha256:a865bde32d9abf80ee0eb742d24bcaba746293195db14fd14cdccae1707156d4", "created_at": "2026-11-01T18:14:45Z", "updated_at": "2026-11-01T22:49:22Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Identification and Verification of Ubiquitin D as a Gene Associated with Hepatitis C Virus-Induced Hepatocellular Carcinoma.", "doi": "10.1159/000525543", "pmid": "35728518", "authors": ["Huanqin Li", "Shumin Liu", "Yun Lin", "Xiongfei Shi", "Na Du", "Jing Yao", "Ruiyang Liu", "Yan Du", "Kai Yang"], "journal": "Intervirology", "year": 2022, "abstract": "INTRODUCTION: Accumulated studies have suggested that hepatitis C virus (HCV) infection is one of the leading causes for hepatocellular carcinoma (HCC). However, the mechanisms underlying the effect of HCV on the occurrence of HCC are still poorly understood.\nMETHODS: HCV infection datasets (GSE82177 and GSE17856) and HCC datasets (The Cancer Genome Atlas Liver Hepatocellular Carcinoma and GSE89377) were downloaded from Gene Expression Omnibus or TCGA for analysis. The common differentially expressed genes in the above four datasets were identified by R software. The expression of ubiquitin D (UBD) in HCV-infected HepG2 cells was detected by RT-qPCR and Western blot, respectively. The interaction between NS3 and p53 was detected by co-immunoprecipitation. The influence of UBD on the proliferation and migration ability of HepG2 cells was evaluated by CCK-8 and wound healing assay, respectively.\nRESULTS: UBD was upregulated in both HCV-infected samples and HCC samples. HCV NS3 interacted with p53 and inhibited its expression. HCV NS3-induced UBD promoted the proliferation and migration of HepG2 cells.\nCONCLUSION: Our results suggest that HCV NS3-induced UBD is positively correlated with the development of HCV-related HCC during HCV infection. Targeting UBD could be a potential strategy for preventing and treating HCV-induced HCC.", "claims": [{"id": "claim-method", "statement": "Analysis of differentially expressed genes (DEGs) was performed with the DESeq2 and Limma package of R software [38]. We set adjusted p value (adj.p.val) < 0.05 and |log2 fold change (log2.fc.) >1 as the cutoff criteria. 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Further inquiries can be directed to the corresponding author.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:35728518", "locator": "sections[25] \"Data Availability Statement\" paragraph 2", "quote": "All datasets generated for this study are included in the manuscript/online supplementary Files. 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This lane did not download the dataset or read its licence.", "duration_hours": null, "parameters": {}, "inputs": ["data:geo:GSE17856"], "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:GSE17856"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:35728518", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.1159/000525543", "sha256": "sha256:cd32562beb1b2ff95e4ed5375d9eeac781687dbb7b09d0b89f61d8e051be998a", "bytes": 41871, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "10.1159/000525543", "version": null, "note": "Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.", "structure": {"pmcid": "PMC9677847", "source": "europe_pmc_fulltext", "coverage": "whole_body", "text_hash_scope": "rendered_section_body"}}, {"id": "data:geo:GSE17856", "role": "raw", "format": "geo-series", "media_type": "application/vnd.ncbi.geo-series+json", "uri": "https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE17856", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE17856", "version": null, "note": "All datasets generated for this study are included in the manuscript/online supplementary Files. 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Further inquiries can be directed to the corresponding author.", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "All datasets generated for this study are included in the manuscript/online supplementary Files. Further inquiries can be directed to the corresponding author.", "access_statement_kind": "data_availability_statement", "sample_accessions": ["GSM2367554", "GSM2367555", "GSM2367556", "GSM2367557", "GSM2367558", "GSM2367559", "GSM2367560", "GSM2367561", "GSM2367562", "GSM2367563", "GSM2367564", "GSM2367565", "GSM2367566", "GSM2367567", "GSM2367568", "GSM2367569", "GSM2367570", "GSM2367571", "GSM2367572", "GSM2367573", "GSM2367574", "GSM2367575", "GSM2367576", "GSM2367577", "GSM2367578", "GSM2367579", "GSM2367580", "GSM2367581", "GSM2367582", "GSM2367583", "GSM2367584", "GSM2367585", "GSM2367586", "GSM2367587", "GSM2367588", "GSM2367589", "GSM2367590", "GSM2367591", "GSM2367592", "GSM2367593", "GSM2367594", "GSM2367595", "GSM2367596", "GSM2367597", "GSM2367598", "GSM2367599", "GSM2367600", "GSM2367601", "GSM2367602", "GSM2367603", "GSM2367604", "GSM2367605", "GSM2367606", "GSM2367607", "GSM2367608", "GSM2367609", "GSM2367610", "GSM2367611", "GSM2367612", "GSM2367613", "GSM2367614", "GSM2367615", "GSM2367616", "GSM2367617", "GSM2367618", "GSM2367619", "GSM2367620", "GSM2367621", "GSM2367622", "GSM2367623", "GSM2367624", "GSM2367625", "GSM2367626", "GSM2367627", "GSM2367628", "GSM2367629", "GSM2367630", "GSM2367631", "GSM2367632", "GSM2367633", "GSM2367634", "GSM2367635", "GSM2367636", "GSM2367637", "GSM2367638", "GSM2367639", "GSM2367640", "GSM2367641", "GSM2367642", "GSM2367643", "GSM2367644", "GSM2367645", "GSM2367646", "GSM2367647", "GSM2367648", "GSM2367649", "GSM2367650", "GSM2367651", "GSM2367652", "GSM2367653", "GSM2367654", "GSM2367655", "GSM2367656", "GSM2367657", "GSM2367658", "GSM2367659", "GSM2367660"], "sample_count": 107, "group_sizes": null, "group_sizes_basis": null, "platform": "6947", "taxon": "Homo sapiens", "title": "Identifying novel drivers of human hepatocellular carcinoma and revealing clinical relevance as early diagnostic and prognostic biomarker", "resolution_checked_at": "2026-11-01T15:39:55Z", "resolution_check": "identifier_resolution_only_no_download_no_licence_read", "downloaded": false, "licence_read": false}}], "gaps": ["asset:data:geo:GSE17856 not downloaded", "asset:data:geo:GSE17856 licence not read", "asset:data:geo:GSE82177 not downloaded", "asset:data:geo:GSE82177 licence not read", "asset:data:geo:GSE89377 not downloaded", "asset:data:geo:GSE89377 licence not read"]}, "analysis": {"state": "partial", "methods": [{"id": "method-1", "family": "differential_expression", "specific": "deseq2", "label": "Differential expression analysis", "dsl_operations": ["normalise_counts", "differential_expression_fit", "fdr_bh"], "missing_operations": [], "expressible": true, "parameters": {}, "data_shapes": ["count_matrix_with_condition"], "evidence": {"score": 1.0, "band": "verbatim", "quote": "Analysis of differentially expressed genes (DEGs) was performed with the DESeq2 and Limma package of R software [38]. We set adjusted p value (adj.p.val) < 0.05 and |log2 fold change (log2.fc.) >1 as the cutoff criteria. 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CONCLUSION: Our results suggest that", "se Academy of Sciences, Shanghai, China) and cultured in DMEM medium (Gibco, Waltham, MA, USA) with 1"], "order_basis": "paper_text_order:702", "id": "assay:1"}, {"role": "data_generation", "definition_id": "qpcr", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.99, "evidence": ["in HCV-infected HepG2 cells was detected by RT-qPCR and Western blot, respectively. The interact", "HCV-infected HepG2 cells was detected by RT-qPCR and Western blot, respectively. The interact"], "order_basis": "paper_text_order:731", "id": "assay:2"}, {"role": "data_generation", "definition_id": "western_blot", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.93, "evidence": ["cted HepG2 cells was detected by RT-qPCR and Western blot, respectively. The interaction between NS3 a"], "order_basis": "paper_text_order:742", "id": "assay:3"}, {"role": "data_generation", "definition_id": "apoptosis_assay", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.93, "evidence": ["tion ability of HepG2 cells was evaluated by CCK-8 and wound healing assay, respectively. RESUL"], "order_basis": "paper_text_order:942", "id": "assay:4"}, {"role": "data_generation", "definition_id": "rna_seq", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.93, "evidence": ["in HCV-infected samples and HCC samples, two RNA-seq datasets (GSE82177 and TCGA-LIHC) and two mR"], "order_basis": "paper_text_order:2646", "id": "assay:5"}, {"role": "analysis", "definition_id": "differential_expression", "definition_version": "f2132e96ae6c7a4e", "definition_digest": null, "required_operations": ["normalise_counts", "differential_expression_fit", "fdr_bh"], "support_state": "supported", "source_hashes": {"dsl_catalogue": "f2132e96ae6c7a4e"}, "confidence": 1.0, "evidence": ["Analysis of differentially expressed genes (DEGs) was performed with the DESeq2 and Limma package of R software [38]. We set adjusted p value (adj.p.val) < 0.05 and |log2 fold change (log2.fc.) >1 as the cutoff criteria. The common DEGs were identified by integrating each DEG in the four datasets with the Robust Rank Aggreg package of R software."], "order_basis": "consumes_earlier_output", "id": "assay:6"}]}