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pmid:38780447

Transcription factor ASCL1 targets SLC6A13 to inhibit the progression of hepatocellular carcinoma via the glycine-inflammasome signaling.

Hongyan Zhang · Ruiqing Zong · Huiqi Wu · Jun Jiang · Chuanyong Liu · Suiyi Liu

Biomolecules & biomedicine · 2024 doi:10.17305/bb.2024.10328

Paper

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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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pmid:38780447
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2026-11-01T19:20:44Z
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2026-11-01T22:54:21Z
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paper object · 10 fields
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title
Transcription factor ASCL1 targets SLC6A13 to inhibit the progression of hepatocellular carcinoma via the glycine-inflammasome signaling.
doi
10.17305/bb.2024.10328
pmid
38780447
authors array · 6 items
[0]
Hongyan Zhang
[1]
Ruiqing Zong
[2]
Huiqi Wu
[3]
Jun Jiang
[4]
Chuanyong Liu
[5]
Suiyi Liu
journal
Biomolecules & biomedicine
year
2024
abstract
Hepatocellular carcinoma (HCC), the most common primary liver cancer, typically arises from chronic liver conditions such as hepatitis, cirrhosis, or other chronic liver diseases, and is characterized by its aggressive nature and poor prognosis. The purpose of this research was to clarify the function of achaete-scute family bHLH transcription factor 1 (ASCL1) and solute carrier family 6 member 13 (SLC6A13) in influencing tumor cell behavior, inflammatory responses, and the regulation of inflammasomes. We analyzed the differentially expressed genes (DEGs) in the Cancer Genome Atlas-Liver Hepatocellular Carcinoma (TCGA-LIHC) database, as well as in the GSE14520 and GSE67764 datasets, to identify the expression changes of SLC6A13 in liver cancer. The prognostic significance of SLC6A13 in LIHC was assessed through Kaplan-Meier survival curve analysis. Transcriptional regulation of SLC6A13 by ASCL1 was explored using the Joint Annotation of the Human Genome and other species by the Systematic Pipeline for the Annotation of Regulatory Regions (JASPAR) database and dual-luciferase assays. In vitro experiments investigated the impact of ASCL1 and SLC6A13 overexpression on HCC cell growth. Additionally, the effects of ethanol treatment and glycine modulation on the inflammatory response in HCC cell lines were evaluated. HCC samples showed reduced levels of SLC6A13, which correlates with a better prognosis for liver metastases. Elevated SLC6A13 expression correlated with improved overall survival (OS), progression-free survival (PFS), recurrence-free survival (RFS), and disease-specific survival (DSS). ASCL1 upregulated SLC6A13 and inhibited proliferation, migration, and invasion of HCC cells. Ethanol induced the production of inflammatory cytokines, which was enhanced by overexpression of SLC6A13 but counteracted by glycine. This study highlighted elevated expression of SLC6A13 in LIHC which has been correlated with improved OS, PFS, RFS, and DSS. Overexpression of SLC6A13 and ASCL1 in HCC cells enhanced inflammasome activation, which was exacerbated by ethanol and attenuated by glycine.
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The “limma” package from the R programming language was used to identify DEGs. A fold change (FC) threshold of >1.5 for upregulated genes and 0.67 for downregulated genes was used to evaluate statistical significance, using a minimum P value of less than 0.05 to assess statistical significance.
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sections[3] "Dataset download and screening of differentially expressed genes (DEGs)" paragraph 2
quote
The “limma” package from the R programming language was used to identify DEGs. A fold change (FC) threshold of >1.5 for upregulated genes and 0.67 for downregulated genes was used to evaluate statistical significance, using a minimum P value of less than 0.05 to assess statistical significance.
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The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.
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sections[27] "Data Availability" paragraph 2
quote
The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.
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SLC6A13 expression was downregulated in tumor samples compared with normal samples in the TCGA-LIHC, GSE145290, and GSE67764 datasets.
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sections[16] "Identification of DEGs and expression of SLC6A13 in liver cancer" paragraph 2
quote
Expression analysis further showed that the expression of SLC6A13 was downregulated in tumor samples compared with normal samples in the TCGA-LIHC dataset (P ═ 1.1e−05), GSE145290 dataset, and GSE67764 dataset (Figure 1D–1F).
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SLC6A13 expression was downregulated in tumor samples compared with normal samples in the TCGA-LIHC, GSE145290, and GSE67764 datasets.
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GSM363446
[472]
GSM363447
[473]
GSM363448
[474]
GSM363449
[475]
GSM363450
[476]
GSM363451
[477]
GSM712532
[478]
GSM712533
[479]
GSM712534
[480]
GSM712535
[481]
GSM712536
[482]
GSM712537
[483]
GSM712538
[484]
GSM712539
[485]
GSM712540
[486]
GSM712541
[487]
GSM712542
sample_count
488
group_sizes
null
group_sizes_basis
null
platform
3921;571
taxon
Homo sapiens
title
Gene expression data of human hepatocellular carcinoma (HCC)
resolution_checked_at
2026-11-01T15:39:54Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
[2] object · 15 fields
id
data:geo:GSE67764
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=GSE67764
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE67764
version
null
note
The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.
access_statement_kind
data_availability_statement
sample_accessions array · 9 items
[0]
GSM1655449
[1]
GSM1655450
[2]
GSM1655451
[3]
GSM1655452
[4]
GSM1655453
[5]
GSM1655454
[6]
GSM1655455
[7]
GSM1655456
[8]
GSM1655457
sample_count
9
group_sizes
null
group_sizes_basis
null
platform
17077
taxon
Homo sapiens
title
β-arrestin1 is involved in hepatocellular carcinogenesis via an inflammation-mediated Akt signal
resolution_checked_at
2026-11-01T15:39:55Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
gaps array · 4 items
[0]
asset:data:geo:GSE14520 not downloaded
[1]
asset:data:geo:GSE14520 licence not read
[2]
asset:data:geo:GSE67764 not downloaded
[3]
asset:data:geo:GSE67764 licence not read
analysis object · 4 fields
state
partial
methods array · 5 items
[0] object · 10 fields
id
method-1
family
differential_expression
specific
limma_voom
label
Differential expression analysis
dsl_operations array · 3 items
[0]
normalise_counts
[1]
differential_expression_fit
[2]
fdr_bh
missing_operations array · 0 items
parameters object · 1 field
fold_change
y expressed genes, with fold-change thresholds and a minimu
data_shapes array · 1 item
[0]
count_matrix_with_condition
evidence object · 3 fields
score
1
band
verbatim
quote
The “limma” package from the R programming language was used to identify DEGs. A fold change (FC) threshold of >1.5 for upregulated genes and 0.67 for downregulated genes was used to evaluate statistical significance, using a minimum P value of less than 0.05 to assess statistical significance.
[1] object · 10 fields
id
method-2
family
group_comparison
specific
anova
label
Group comparison
dsl_operations array · 4 items
[0]
group_summary
[1]
welch_t
[2]
bootstrap_mean_difference
[3]
group_comparison_anova
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
two_or_more_groups_continuous
evidence object · 3 fields
score
0.8
band
high
quote
ANOVA
[2] object · 10 fields
id
method-3
family
survival_analysis
specific
kaplan_meier
label
Survival analysis
dsl_operations array · 1 item
[0]
survival_km
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
time_to_event_with_censoring
evidence object · 3 fields
score
0.7
band
medium
quote
Kaplan-Meier
[3] object · 10 fields
id
method-4
family
survival_analysis
specific
cox_proportional_hazards
label
Survival analysis
dsl_operations array · 1 item
[0]
cox_ph
missing_operations array · 0 items
parameters object · 1 field
hazard_ratio
ds models, risk ratios (HR) and their 95% confiden
data_shapes array · 1 item
[0]
time_to_event_with_censoring
evidence object · 3 fields
score
0.8
band
high
quote
Cox proportional hazards
[4] object · 10 fields
id
method-5
family
survival_analysis
specific
log_rank_test
label
Survival analysis
dsl_operations array · 1 item
[0]
logrank_test
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
time_to_event_with_censoring
evidence object · 3 fields
score
0.8
band
high
quote
log-rank
targets array · 0 items
gaps array · 1 item
[0]
method.reader_differs_from_extractor
capability object · 3 fields
state
complete
requirements array · 1 item
[0] object · 6 fields
capability_id
capability:computational_analysis
label
Computational analysis platform
assay_families array · 9 items
[0]
meta_analysis
[1]
machine_learning
[2]
survival_analysis
[3]
statistical_regression
[4]
pca
[5]
molecular_docking
[6]
network_analysis
[7]
differential_expression
[8]
gwas
candidate
Automated Assays Laravel application and simulated adapters
gaps array · 0 items
readiness object · 8 fields
state
complete
tier
R1
blocked_on
nothing:replicable_now
axes object · 3 fields
method object · 5 fields
tier
R1
expressible
true
required_operations array · 3 items
[0]
normalise_counts
[1]
differential_expression_fit
[2]
fdr_bh
missing_operations array · 0 items
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
reachable
true
accessions array · 2 items
[0]
GSE14520
[1]
GSE67764
resolved_accessions array · 2 items
[0]
GSE14520
[1]
GSE67764
statements array · 1 item
[0]
The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.
basis
The paper names GSE14520, GSE67764 in Gene Expression Omnibus 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
[0]
normalise_counts
[1]
differential_expression_fit
[2]
fdr_bh
assets array · 2 items
[0]
source:pmid:38780447
[1]
data:geo:GSE14520
steps array · 1 item
[0]
run_analysis
must_build object · 5 fields
dsl_operations array · 0 items
converters array · 0 items
readers array · 0 items
capabilities array · 0 items
data_gaps array · 1 item
[0]
data:geo:GSE14520
gaps array · 0 items
review object · 5 fields
state
partial
machine_critique object · 5 fields
kind
extraction_review
reader object · 5 fields
model
MiniMax-M3.1-Flash
provider
minimax
provider_family
minimax
read_at
2026-11-01T19:19:33Z
independence
single_reader
evidence_check object · 2 fields
method
verbatim
availability
verbatim
calls
5
usage object · 3 fields
prompt_tokens
17409
completion_tokens
1648
cached_tokens
264
stages array · 1 item
[0] object · 4 fields
id
extraction
state
complete
reader
MiniMax-M3.1-Flash
provider
minimax
gaps array · 3 items
[0]
review.independent_reader
[1]
review.machine_critique
[2]
review.human_critique
execution object · 5 fields
state
absent
status
not_run
mode
null
runs array · 0 items
gaps array · 1 item
[0]
execution.not_run
provenance object · 7 fields
entities array · 3 items
[0] object · 3 fields
id
pmid:38780447
type
paper
label
pmid:38780447
[1] object · 3 fields
id
source:pmid:38780447
type
manuscript
label
PMID 38780447 full text
[2] object · 3 fields
id
data:geo:GSE14520
type
dataset
label
GEO GSE14520
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:38780447
type
paper
label
pmid:38780447
[1] object · 3 fields
id
source:pmid:38780447
type
manuscript
label
PMID 38780447 full text
[2] object · 3 fields
id
data:geo:GSE14520
type
dataset
label
GEO GSE14520
agent
agent:corpus-assay-engine
[1] object · 4 fields
id
activity-read-38780447
type
extraction
used array · 1 item
[0]
source:pmid:38780447
agent
agent:minimax-reader
[2] object · 4 fields
id
activity-resolve-GSE14520
type
accession_resolution
used array · 1 item
[0]
data:geo:GSE14520
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
id
agent:minimax-reader
type
software
label
MiniMax literature reader
source_run_id
reading-sci-2026-11-01
dsl_catalogue_fingerprint
343fb30756ba6ec3
capability_table_fingerprint
2cb3e42f047d2ecf
snapshot_id
ba34b49490d9bfaf
lineage object · 4 fields
parent_id
pmid:38780447
parent_hash
sha256:2134b7044aaae80ee0a10ea502ff436bdac0873e3194ff9afeee2d6b8d6626b1
fork_of
null
gaps array · 9 items
[0]
asset:data:geo:GSE14520 licence not read
[1]
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[2]
asset:data:geo:GSE67764 licence not read
[3]
asset:data:geo:GSE67764 not downloaded
[4]
execution.not_run
[5]
method.reader_differs_from_extractor
[6]
review.human_critique
[7]
review.independent_reader
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review.machine_critique
assays array · 2 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
0.77
evidence array · 1 item
[0]
for Biological Science, China, and were then cultured in Dulbecco’s Modified Eagle Medium (DMEM) mixe
order_basis
paper_text_order:4484
id
assay:1
[1] object · 11 fields
role
analysis
definition_id
differential_expression
definition_version
f2132e96ae6c7a4e
required_operations array · 3 items
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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]
The “limma” package from the R programming language was used to identify DEGs. A fold change (FC) threshold of >1.5 for upregulated genes and 0.67 for downregulated genes was used to evaluate statistical significance, using a minimum P value of less than 0.05 to assess statistical significance.
order_basis
consumes_earlier_output
id
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Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:38780447", "kind": "science-record", "revision": 4, "content_hash": "sha256:40387976e002c1551a43e3b06e17b7eb2c7618392a928f88eb6cd11fb6418099", "created_at": "2026-11-01T19:20:44Z", "updated_at": "2026-11-01T22:54:21Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Transcription factor ASCL1 targets SLC6A13 to inhibit the progression of hepatocellular carcinoma via the glycine-inflammasome signaling.", "doi": "10.17305/bb.2024.10328", "pmid": "38780447", "authors": ["Hongyan Zhang", "Ruiqing Zong", "Huiqi Wu", "Jun Jiang", "Chuanyong Liu", "Suiyi Liu"], "journal": "Biomolecules & biomedicine", "year": 2024, "abstract": "Hepatocellular carcinoma (HCC), the most common primary liver cancer, typically arises from chronic liver conditions such as hepatitis, cirrhosis, or other chronic liver diseases, and is characterized by its aggressive nature and poor prognosis. The purpose of this research was to clarify the function of achaete-scute family bHLH transcription factor 1 (ASCL1) and solute carrier family 6 member 13 (SLC6A13) in influencing tumor cell behavior, inflammatory responses, and the regulation of inflammasomes. We analyzed the differentially expressed genes (DEGs) in the Cancer Genome Atlas-Liver Hepatocellular Carcinoma (TCGA-LIHC) database, as well as in the GSE14520 and GSE67764 datasets, to identify the expression changes of SLC6A13 in liver cancer. The prognostic significance of SLC6A13 in LIHC was assessed through Kaplan-Meier survival curve analysis. Transcriptional regulation of SLC6A13 by ASCL1 was explored using the Joint Annotation of the Human Genome and other species by the Systematic Pipeline for the Annotation of Regulatory Regions (JASPAR) database and dual-luciferase assays. In vitro experiments investigated the impact of ASCL1 and SLC6A13 overexpression on HCC cell growth. Additionally, the effects of ethanol treatment and glycine modulation on the inflammatory response in HCC cell lines were evaluated. HCC samples showed reduced levels of SLC6A13, which correlates with a better prognosis for liver metastases. Elevated SLC6A13 expression correlated with improved overall survival (OS), progression-free survival (PFS), recurrence-free survival (RFS), and disease-specific survival (DSS). ASCL1 upregulated SLC6A13 and inhibited proliferation, migration, and invasion of HCC cells. Ethanol induced the production of inflammatory cytokines, which was enhanced by overexpression of SLC6A13 but counteracted by glycine. This study highlighted elevated expression of SLC6A13 in LIHC which has been correlated with improved OS, PFS, RFS, and DSS. Overexpression of SLC6A13 and ASCL1 in HCC cells enhanced inflammasome activation, which was exacerbated by ethanol and attenuated by glycine.", "claims": [{"id": "claim-method", "statement": "The “limma” package from the R programming language was used to identify DEGs. A fold change (FC) threshold of >1.5 for upregulated genes and 0.67 for downregulated genes was used to evaluate statistical significance, using a minimum P value of less than 0.05 to assess statistical significance.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:38780447", "locator": "sections[3] \"Dataset download and screening of differentially expressed genes (DEGs)\" paragraph 2", "quote": "The “limma” package from the R programming language was used to identify DEGs. A fold change (FC) threshold of >1.5 for upregulated genes and 0.67 for downregulated genes was used to evaluate statistical significance, using a minimum P value of less than 0.05 to assess statistical significance."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:38780447", "locator": "sections[27] \"Data Availability\" paragraph 2", "quote": "The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request."}], "state": "complete"}, {"id": "claim-target-result", "statement": "SLC6A13 expression was downregulated in tumor samples compared with normal samples in the TCGA-LIHC, GSE145290, and GSE67764 datasets.", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:38780447", "locator": "sections[16] \"Identification of DEGs and expression of SLC6A13 in liver cancer\" paragraph 2", "quote": "Expression analysis further showed that the expression of SLC6A13 was downregulated in tumor samples compared with normal samples in the TCGA-LIHC dataset (P ═ 1.1e−05), GSE145290 dataset, and GSE67764 dataset (Figure 1D–1F)."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "SLC6A13 expression was downregulated in tumor samples compared with normal samples in the TCGA-LIHC, GSE145290, and GSE67764 datasets.", "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:38780447"], "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:GSE14520"], "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": {"fold_change": "y expressed genes, with fold-change thresholds and a minimu"}, "inputs": ["data:geo:GSE14520"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:38780447", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": 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