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pmid:37151879

Bulk and single-cell transcriptome profiling reveal extracellular matrix mechanical regulation of lipid metabolism reprograming through YAP/TEAD4/ACADL axis in hepatocellular carcinoma.

Jingwei Cai · Tianyi Chen · Zhiyu Jiang · Jiafei Yan · Zhengtao Ye · Yeling Ruan · Liye Tao · Zefeng Shen · Xiao Liang · Yifan Wang · Junjie Xu · Xiujun Cai

International journal of biological sciences · 2023 doi:10.7150/ijbs.82177

Paper

complete

Experiment

partial

Data

partial

Analysis

partial

Execution

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pmid:37151879
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2026-11-01T19:01:48Z
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paper object · 10 fields
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title
Bulk and single-cell transcriptome profiling reveal extracellular matrix mechanical regulation of lipid metabolism reprograming through YAP/TEAD4/ACADL axis in hepatocellular carcinoma.
doi
10.7150/ijbs.82177
pmid
37151879
authors array · 12 items
[0]
Jingwei Cai
[1]
Tianyi Chen
[2]
Zhiyu Jiang
[3]
Jiafei Yan
[4]
Zhengtao Ye
[5]
Yeling Ruan
[6]
Liye Tao
[7]
Zefeng Shen
[8]
Xiao Liang
[9]
Yifan Wang
[10]
Junjie Xu
[11]
Xiujun Cai
journal
International journal of biological sciences
year
2023
abstract
Emerging studies have revealed matrix stiffness promotes hepatocellular carcinoma (HCC) development. We studied metabolic dysregulation in HCC using the TCGA-LIHC database (n=374) and GEO datasets (GSE14520). HCC samples were classified into three heterogeneous metabolic pathway subtypes with different metabolic profiles: Cluster 1, an ECM-producing subtype with upregulated glycan metabolism; Cluster 2, a hybrid subtype with partial pathway dysregulation. Cluster 3, a lipogenic subtype with upregulated lipid metabolism; These three subtypes have different prognosis, clinical features and genomic alterations. We identified key enzymes that respond to matrix stiffness and regulate lipid metabolism through bioinformatic analysis. We found long-chain acyl-CoA dehydrogenase (ACADL) is a mechanoreactive enzyme that reprograms HCC cell lipid metabolism in response to extracellular matrix stiffness. ACADL is also regarded as tumor suppressor in HCC. We found that increased extracellular matrix stiffness led to activation of Yes-associated protein (YAP) and the YAP/TEA Domain transcription factor 4 (TEAD4) transcriptional complex was able to directly repress ACADL at the transcriptional level. The ACADL-dependent mechanoresponsive pathway is a potential therapeutic target for HCC treatment.
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The Student t test was used for comparison between 2 groups. One-way analysis of variance (ANOVA) was used for comparisons among 3 or more groups.
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Source data used are available from the corresponding author upon reasonable request.
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Long-chain acyl-CoA dehydrogenase (ACADL) is a mechanoreactive enzyme that reprograms HCC cell lipid metabolism in response to extracellular matrix stiffness.
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We found long-chain acyl-CoA dehydrogenase (ACADL) is a mechanoreactive enzyme that reprograms HCC cell lipid metabolism in response to extracellular matrix stiffness.
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Long-chain acyl-CoA dehydrogenase (ACADL) is a mechanoreactive enzyme that reprograms HCC cell lipid metabolism in response to extracellular matrix stiffness.
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https://doi.org/10.7150/ijbs.82177
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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:GSE151530
role
raw
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geo-series
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application/vnd.ncbi.geo-series+json
uri
https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE151530
sha256
null
bytes
null
access
open
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resolved
reader
null
reader_status
reader_required
identifier
GSE151530
version
null
note
Source data used are available from the corresponding author upon reasonable request.
structure object · 15 fields
repository
GEO
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GEO accession URL
access_statement_verbatim
Source data used are available from the corresponding author upon reasonable request.
access_statement_kind
data_availability_statement
sample_accessions array · 46 items
[0]
GSM4581240
[1]
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[2]
GSM4581242
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GSM4581243
[4]
GSM4581244
[5]
GSM4581245
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GSM4581246
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GSM4581247
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GSM4581248
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GSM4581249
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GSM4581251
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GSM4581252
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GSM4581258
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GSM4581259
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GSM4581260
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GSM4581261
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GSM4581262
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GSM4581263
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GSM4581264
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GSM4581265
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GSM4581266
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GSM4581267
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GSM4581268
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GSM4581269
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GSM4581270
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[32]
GSM4581272
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GSM4581273
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GSM4581274
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GSM4581275
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GSM4581276
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GSM4581277
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GSM4581278
[39]
GSM4581279
[40]
GSM4581280
[41]
GSM4581281
[42]
GSM4581282
[43]
GSM4581283
[44]
GSM4581284
[45]
GSM4581285
sample_count
46
group_sizes
null
group_sizes_basis
null
platform
24676;18573;20301
taxon
Homo sapiens
title
Understanding tumor evolution and its clonality by single-cell transcriptomic analysis in liver cancer
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2026-11-01T18:46:34Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
gaps array · 4 items
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asset:data:geo:GSE14520 not downloaded
[1]
asset:data:geo:GSE14520 licence not read
[2]
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[3]
asset:data:geo:GSE151530 licence not read
analysis object · 4 fields
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partial
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[0] object · 10 fields
id
method-1
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group_comparison
specific
student_t_test
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dsl_operations array · 0 items
missing_operations array · 1 item
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student_t
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false
parameters object · 0 fields
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two_or_more_groups_continuous
evidence object · 3 fields
score
1
band
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quote
The Student t test was used for comparison between 2 groups. One-way analysis of variance (ANOVA) was used for comparisons among 3 or more groups.
[1] object · 10 fields
id
method-2
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group_comparison
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anova
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Group comparison
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group_summary
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welch_t
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bootstrap_mean_difference
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group_comparison_anova
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parameters object · 0 fields
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two_or_more_groups_continuous
evidence object · 3 fields
score
0.8
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high
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analysis of variance
[2] object · 10 fields
id
method-3
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network_analysis
specific
pathway_enrichment
label
Network / pathway analysis
dsl_operations array · 1 item
[0]
pathway_enrich
missing_operations array · 0 items
parameters object · 0 fields
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edge_list
evidence object · 3 fields
score
0.8
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high
quote
pathway enrichment
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gaps array · 1 item
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method.student_t
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
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R1
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nothing:replicable_now
axes object · 3 fields
method object · 5 fields
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R1
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false
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missing_operations array · 1 item
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student_t
basis
The paper names the method it used and the corpus's method extractor maps it onto the DSL catalogue: student_t_test.
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]
GSE151530
resolved_accessions array · 2 items
[0]
GSE14520
[1]
GSE151530
statements array · 1 item
[0]
Source data used are available from the corresponding author upon reasonable request.
basis
The paper names GSE14520, GSE151530 in GEO and the accession resolves in the repository. No dataset was downloaded and no licence was read.
can_run object · 3 fields
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assets array · 2 items
[0]
source:pmid:37151879
[1]
data:geo:GSE14520
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[0] object · 3 fields
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student_t
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null
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[0]
data:geo:GSE14520
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review object · 5 fields
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partial
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extraction_review
reader object · 5 fields
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MiniMax-M3.1-Flash
provider
minimax
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minimax
read_at
2026-11-01T18:38:45Z
independence
single_reader
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verbatim
availability
verbatim
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minimax
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pmid:37151879
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paper
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pmid:37151879
[1] object · 3 fields
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source:pmid:37151879
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manuscript
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PMID 37151879 full text
[2] object · 3 fields
id
data:geo:GSE14520
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dataset
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GEO GSE14520
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[0] object · 4 fields
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activity-reading-sci-2026-11-01
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classification
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pmid:37151879
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paper
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pmid:37151879
[1] object · 3 fields
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source:pmid:37151879
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manuscript
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PMID 37151879 full text
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data:geo:GSE14520
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dataset
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GEO GSE14520
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agent:corpus-assay-engine
[1] object · 4 fields
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activity-read-37151879
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extraction
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source:pmid:37151879
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agent:minimax-reader
[2] object · 4 fields
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activity-resolve-GSE14520
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accession_resolution
used array · 1 item
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agent:corpus-assay-engine
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agent:corpus-assay-engine
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agent:minimax-reader
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MiniMax literature reader
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sha256:edbccf1fb37e6b3e7a3f5f67427e500bb2bc6adf5dbd903240c57938d65c7556
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99e1195c7d6f
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tratumoral collagen content were measured by immunofluorescence in tissue microarray. The baseline character
order_basis
paper_text_order:1778
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assay:1
[1] object · 11 fields
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data_generation
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microarray
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99e1195c7d6f
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99e1195c7d6f
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0.93
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ere measured by immunofluorescence in tissue microarray. The baseline characteristics of patients ar
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paper_text_order:1807
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assay:2
[2] object · 11 fields
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data_generation
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99e1195c7d6f
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99e1195c7d6f
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e and Transfections The HCC cell line, Huh7, HepG2 and SK-Hep-1 were obtained from the American
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paper_text_order:3685
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assay:3
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99e1195c7d6f
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99e1195c7d6f
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to be negative for mycoplasma contamination. Transfection of siRNA and plasmids was performed using Li
[1]
or mycoplasma contamination. Transfection of siRNA and plasmids was performed using Lipofectami
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paper_text_order:3965
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assay:4
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data_generation
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western_blot
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99e1195c7d6f
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e-polymerase chain reaction (qRT-PCR) or for western blotting analysis. ScRNA-seq data processing The GEO:
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paper_text_order:4606
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assay:5
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99e1195c7d6f
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(qRT-PCR) or for western blotting analysis. ScRNA-seq data processing The GEO: GSE151530 dataset c
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(UMAP). The metabolism pathway enrichment of scRNA-seq data was analyzed through the ReactomeGSA R
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paper_text_order:4634
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assay:6
[6] object · 11 fields
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group_comparison
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f2132e96ae6c7a4e
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The Student t test was used for comparison between 2 groups. One-way analysis of variance (ANOVA) was used for comparisons among 3 or more groups.
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Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:37151879", "kind": "science-record", "revision": 4, "content_hash": "sha256:5002a414bbd28d6ec986307808c02a2e11488e4854fddd1014be82003eb2d961", "created_at": "2026-11-01T19:01:48Z", "updated_at": "2026-11-01T22:51:50Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Bulk and single-cell transcriptome profiling reveal extracellular matrix mechanical regulation of lipid metabolism reprograming through YAP/TEAD4/ACADL axis in hepatocellular carcinoma.", "doi": "10.7150/ijbs.82177", "pmid": "37151879", "authors": ["Jingwei Cai", "Tianyi Chen", "Zhiyu Jiang", "Jiafei Yan", "Zhengtao Ye", "Yeling Ruan", "Liye Tao", "Zefeng Shen", "Xiao Liang", "Yifan Wang", "Junjie Xu", "Xiujun Cai"], "journal": "International journal of biological sciences", "year": 2023, "abstract": "Emerging studies have revealed matrix stiffness promotes hepatocellular carcinoma (HCC) development. We studied metabolic dysregulation in HCC using the TCGA-LIHC database (n=374) and GEO datasets (GSE14520). HCC samples were classified into three heterogeneous metabolic pathway subtypes with different metabolic profiles: Cluster 1, an ECM-producing subtype with upregulated glycan metabolism; Cluster 2, a hybrid subtype with partial pathway dysregulation. Cluster 3, a lipogenic subtype with upregulated lipid metabolism; These three subtypes have different prognosis, clinical features and genomic alterations. We identified key enzymes that respond to matrix stiffness and regulate lipid metabolism through bioinformatic analysis. We found long-chain acyl-CoA dehydrogenase (ACADL) is a mechanoreactive enzyme that reprograms HCC cell lipid metabolism in response to extracellular matrix stiffness. ACADL is also regarded as tumor suppressor in HCC. We found that increased extracellular matrix stiffness led to activation of Yes-associated protein (YAP) and the YAP/TEA Domain transcription factor 4 (TEAD4) transcriptional complex was able to directly repress ACADL at the transcriptional level. The ACADL-dependent mechanoresponsive pathway is a potential therapeutic target for HCC treatment.", "claims": [{"id": "claim-method", "statement": "The Student t test was used for comparison between 2 groups. One-way analysis of variance (ANOVA) was used for comparisons among 3 or more groups.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:37151879", "locator": "sections[28] \"Statistical analysis\" paragraph 2", "quote": "The Student t test was used for comparison between 2 groups. 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