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pmid:33551990

Integrative Analyses of Genes Associated With Osteoporosis in CD16+ Monocyte.

Bin Hu · Xiangan Kong · Li Li · Fang Dai · Qiu Zhang · Ruifeng Shi

Frontiers in endocrinology · 2020 doi:10.3389/fendo.2020.581878

Paper

complete

Experiment

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Data

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Analysis

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pmid:33551990
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science-record
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2026-11-01T15:41:24Z
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title
Integrative Analyses of Genes Associated With Osteoporosis in CD16+ Monocyte.
doi
10.3389/fendo.2020.581878
pmid
33551990
authors array · 6 items
[0]
Bin Hu
[1]
Xiangan Kong
[2]
Li Li
[3]
Fang Dai
[4]
Qiu Zhang
[5]
Ruifeng Shi
journal
Frontiers in endocrinology
year
2020
abstract
Background: Osteoporosis is a metabolic bone disease characterized by decreased bone mineral density and abnormal bone quality. Monocytes can secret cytokines for bone resorption, resulting in bone mass loss. However, the mechanism by which monocytes subpopulations lead to osteoporosis remains unclear. The aim of this study was to identify genes associated with osteoporosis in monocytes subsets. Methods: Three microarray datasets including GSE7158 (transcription of low/high-peak bone mass), GSE101489 (transcription of CD16+/CD16- monocyte) and GSE93883 (miRNA expression profile of primary osteoporosis) were derived from the Gene Expression Omnibus (GEO) database and analyzed with GEO2R tool to identify differentially expressed genes (DEGs). Functional enrichment was analyzed using Metascape database and GSEA software. STRING was utilized for the Protein-Protein Interaction Network construct. The hub genes were screened out using the Cytoscape software. Related miRNAs were predicted in miRWalk, miRDB, and TargetScan databases. Results: Total 368 DEGs from GSE7158 were screened out, which were mostly enriched in signaling, positive regulation of biological process and immune system process. The hub genes were clustered into two modules by PPI network analysis. We identified 15 overlapping DGEs between GSE101489 and GSE7158 microarray datasets. Moreover, all of them were up-regulated genes in both datasets. Then, nine key genes were screened out from above 15 overlapping DEGs using Cytoscape software. It is a remarkable fact that the nine genes were all in one hub gene module of GSE7158. Additionally, 183 target miRNAs were predicted according to the above nine DEGs. After cross-verification with miRNA express profile dataset for osteoporosis (GSE93883), 12 DEmiRNAs were selected. Finally, a miRNA-mRNA network was constructed with the nine key genes and 12 miRNAs, which were involved in osteoporosis. Conclusion: Our analysis results constructed a gene expression framework in monocyte subsets for osteoporosis. This approach could provide a novel insight into osteoporosis.
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The online analysis tool GEO2R (https://www.ncbi.nlm.nih.gov/geo/geo2r/) was used to detect the DEGs between HPBM and LPBM samples.
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sections[4] "Data Processing" paragraph 2
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The online analysis tool GEO2R (https://www.ncbi.nlm.nih.gov/geo/geo2r/) was used to detect the DEGs between HPBM and LPBM samples.
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The original contributions presented in the study are included in the article/Supplementary Material; further inquiries can be directed to the corresponding authors.
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Genome Wide Gene Expression Study of Circulating Monocytes in human with extremely high vs. low bone mass
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Gene expression-based, individualized outcome prediction for osteoporosis with vertebral fracture
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Top 20 enriched terms for differentially expressed genes in monocytes of low peak bone mass (LPBM).
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Identification and Enrichment of Differentially Expressed Genes in Low-Peak Bone Mass Monocytes
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Top 20 enriched terms for differentially expressed genes in monocytes of low peak bone mass (LPBM).
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19
[4]
5.37
[5]
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[4]
1.41
[5]
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[4]
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[4]
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The hub genes for DEGs in monocytes of LPBM.
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Protein–Protein Interaction Network Analysis and Hub Gene Identification of Differentially Expressed Genes in Low-Peak Bone Mass Monocytes
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The hub genes for DEGs in monocytes of LPBM.
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Top 20 enriched terms for differentially expressed genes in CD16+ monocytes.
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Identification and Enrichment of Differentially Expressed Genes in CD16+ Monocytes
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Table 3
caption
Top 20 enriched terms for differentially expressed genes in CD16+ monocytes.
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5.52
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[6]
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GO:0046649
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27
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14.92
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[6]
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GO:0002250
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26
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14.36
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GO:0001772
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3.87
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5.52
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4
[4]
2.21
[5]
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2.21
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19
[4]
10.5
[5]
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KEGG Pathway
[2]
T cell receptor signaling pathway
[3]
8
[4]
4.42
[5]
–5.99
[6]
–3.31
[12] array · 7 items
[0]
GO:0002366
[1]
GO Biological Processes
[2]
leukocyte activation involved in immune response
[3]
19
[4]
10.5
[5]
–5.8
[6]
–3.14
[13] array · 7 items
[0]
GO:0019835
[1]
GO Biological Processes
[2]
cytolysis
[3]
5
[4]
2.76
[5]
–5.74
[6]
–3.1
[14] array · 7 items
[0]
GO:0048015
[1]
GO Biological Processes
[2]
phosphatidylinositol-mediated signaling
[3]
10
[4]
5.52
[5]
–5.74
[6]
–3.1
[15] array · 7 items
[0]
GO:0043235
[1]
GO Cellular Components
[2]
receptor complex
[3]
16
[4]
8.84
[5]
–5.72
[6]
–3.09
[16] array · 7 items
[0]
GO:0030246
[1]
GO Molecular Functions
[2]
carbohydrate binding
[3]
11
[4]
6.08
[5]
–5.33
[6]
–2.78
[17] array · 7 items
[0]
GO:0060191
[1]
GO Biological Processes
[2]
regulation of lipase activity
[3]
7
[4]
3.87
[5]
–5.03
[6]
–2.54
[18] array · 7 items
[0]
GO:0051092
[1]
GO Biological Processes
[2]
positive regulation of NF-kappaB transcription factor activity
[3]
8
[4]
4.42
[5]
–4.71
[6]
–2.26
[19] array · 7 items
[0]
GO:0032393
[1]
GO Molecular Functions
[2]
MHC class I receptor activity
[3]
3
[4]
1.66
[5]
–4.48
[6]
–2.11
[20] array · 7 items
[0]
GO:0009897
[1]
GO Cellular Components
[2]
external side of plasma membrane
[3]
12
[4]
6.63
[5]
–4.3
[6]
–1.94
locator
section[12]/table-wrap[1]#T3
[7] object · 16 fields
id
asset:table:pmid:33551990:4
role
table
format
jats-table
media_type
application/vnd.jats.table+json
uri
null
sha256
sha256:59b63824f264832c4e7223f033a284e996ff40f408431e05259a4430dd0a8ed6
bytes
648
access
open
state
verified
reader
read_table
reader_status
available
identifier
section[14]/table-wrap[1]#T4
version
null
note
The enriched terms for 15 overlapping genes.
structure object · 5 fields
pmcid
PMC7859337
section_index
14
section_title
Identification and Cluster Analysis of Overlapping Genes
row_count
5
column_count
7
table object · 8 fields
label
Table 4
caption
The enriched terms for 15 overlapping genes.
rows array · 5 items
[0] array · 7 items
[0]
GO
[1]
Category
[2]
Description
[3]
Count
[4]
%
[5]
Log10(P)
[6]
Log10(q)
[1] array · 7 items
[0]
hsa04650
[1]
KEGG Pathway
[2]
Natural killer cell mediated cytotoxicity
[3]
4
[4]
44.44
[5]
–6.98
[6]
–2.62
[2] array · 7 items
[0]
GO:0002228
[1]
GO Biological Processes
[2]
natural killer cell mediated immunity
[3]
3
[4]
33.33
[5]
–5.8
[6]
–1.92
[3] array · 7 items
[0]
GO:0030246
[1]
GO Molecular Functions
[2]
carbohydrate binding
[3]
3
[4]
33.33
[5]
–4
[6]
–0.34
[4] array · 7 items
[0]
GO:0000323
[1]
GO Cellular Components
[2]
lytic vacuole
[3]
3
[4]
33.33
[5]
–2.76
[6]
0
locator
section[14]/table-wrap[1]#T4
gaps array · 6 items
[0]
asset:data:geo:GSE101489 not downloaded
[1]
asset:data:geo:GSE101489 licence not read
[2]
asset:data:geo:GSE7158 not downloaded
[3]
asset:data:geo:GSE7158 licence not read
[4]
asset:data:geo:GSE93883 not downloaded
[5]
asset:data:geo:GSE93883 licence not read
analysis object · 4 fields
state
partial
methods array · 2 items
[0] object · 10 fields
id
method-1
family
network_analysis
specific
ppi_network
label
Network / pathway analysis
dsl_operations array · 3 items
[0]
build_graph
[1]
centrality_scores
[2]
pathway_enrich
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
edge_list
evidence object · 3 fields
score
0.7
band
medium
quote
Protein-Protein Interaction
[1] object · 10 fields
id
method-2
family
null
specific
null
label
GEO2R
dsl_operations array · 0 items
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 0 items
evidence object · 3 fields
score
1
band
verbatim
quote
The online analysis tool GEO2R (https://www.ncbi.nlm.nih.gov/geo/geo2r/) was used to detect the DEGs between HPBM and LPBM samples.
targets array · 0 items
gaps array · 1 item
[0]
method.reader_named_unmapped
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]
build_graph
[1]
centrality_scores
[2]
pathway_enrich
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: ppi_network.
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 · 3 items
[0]
GSE7158
[1]
GSE101489
[2]
GSE93883
resolved_accessions array · 3 items
[0]
GSE7158
[1]
GSE101489
[2]
GSE93883
statements array · 1 item
[0]
The original contributions presented in the study are included in the article/Supplementary Material; further inquiries can be directed to the corresponding authors.
basis
The paper names GSE7158, GSE101489, GSE93883 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
[0]
build_graph
[1]
centrality_scores
[2]
pathway_enrich
assets array · 6 items
[0]
source:pmid:33551990
[1]
data:geo:GSE101489
[2]
asset:table:pmid:33551990:1
[3]
asset:table:pmid:33551990:2
[4]
asset:table:pmid:33551990:3
[5]
asset:table:pmid:33551990:4
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:GSE101489
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
2026-10-31T18:26:48Z
independence
single_reader
evidence_check object · 2 fields
method
verbatim
availability
verbatim
calls
3
usage object · 3 fields
prompt_tokens
18410
completion_tokens
1639
cached_tokens
793
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:33551990
type
paper
label
pmid:33551990
[1] object · 3 fields
id
source:pmid:33551990
type
manuscript
label
PMID 33551990 full text
[2] object · 3 fields
id
data:geo:GSE101489
type
dataset
label
GEO GSE101489
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:33551990
type
paper
label
pmid:33551990
[1] object · 3 fields
id
source:pmid:33551990
type
manuscript
label
PMID 33551990 full text
[2] object · 3 fields
id
data:geo:GSE101489
type
dataset
label
GEO GSE101489
agent
agent:corpus-assay-engine
[1] object · 4 fields
id
activity-read-33551990
type
extraction
used array · 1 item
[0]
source:pmid:33551990
agent
agent:minimax-reader
[2] object · 4 fields
id
activity-resolve-GSE101489
type
accession_resolution
used array · 1 item
[0]
data:geo:GSE101489
agent
agent:corpus-assay-engine
agents array · 2 items
[0] object · 3 fields
id
agent:corpus-assay-engine
type
software
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Corpus assay engine
[1] object · 3 fields
id
agent:minimax-reader
type
software
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MiniMax literature reader
source_run_id
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dsl_catalogue_fingerprint
343fb30756ba6ec3
capability_table_fingerprint
2cb3e42f047d2ecf
snapshot_id
ba34b49490d9bfaf
lineage object · 4 fields
parent_id
pmid:33551990
parent_hash
sha256:e7be6df4974648198ce79ced17ffd8aa480c8af4749f36906c4cb97ed28c395d
fork_of
null
gaps array · 11 items
[0]
asset:data:geo:GSE101489 licence not read
[1]
asset:data:geo:GSE101489 not downloaded
[2]
asset:data:geo:GSE7158 licence not read
[3]
asset:data:geo:GSE7158 not downloaded
[4]
asset:data:geo:GSE93883 licence not read
[5]
asset:data:geo:GSE93883 not downloaded
[6]
execution.not_run
[7]
method.reader_named_unmapped
[8]
review.human_critique
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review.independent_reader
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review.machine_critique
assays array · 1 item
[0] object · 11 fields
role
analysis
definition_id
network_analysis
definition_version
f2132e96ae6c7a4e
required_operations array · 3 items
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build_graph
[1]
centrality_scores
[2]
pathway_enrich
support_state
supported
source_hashes object · 1 field
dsl_catalogue
f2132e96ae6c7a4e
evidence array · 1 item
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Protein-Protein Interaction
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Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:33551990", "kind": "science-record", "revision": 7, "content_hash": "sha256:3a30c1cde106c826d2d951165c7e44d3c9c13008a2450f7618e483476469a481", "created_at": "2026-11-01T15:41:24Z", "updated_at": "2026-11-01T22:03:03Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Integrative Analyses of Genes Associated With Osteoporosis in CD16+ Monocyte.", "doi": "10.3389/fendo.2020.581878", "pmid": "33551990", "authors": ["Bin Hu", "Xiangan Kong", "Li Li", "Fang Dai", "Qiu Zhang", "Ruifeng Shi"], "journal": "Frontiers in endocrinology", "year": 2020, "abstract": "Background: Osteoporosis is a metabolic bone disease characterized by decreased bone mineral density and abnormal bone quality. Monocytes can secret cytokines for bone resorption, resulting in bone mass loss. However, the mechanism by which monocytes subpopulations lead to osteoporosis remains unclear. The aim of this study was to identify genes associated with osteoporosis in monocytes subsets.\nMethods: Three microarray datasets including GSE7158 (transcription of low/high-peak bone mass), GSE101489 (transcription of CD16+/CD16- monocyte) and GSE93883 (miRNA expression profile of primary osteoporosis) were derived from the Gene Expression Omnibus (GEO) database and analyzed with GEO2R tool to identify differentially expressed genes (DEGs). Functional enrichment was analyzed using Metascape database and GSEA software. STRING was utilized for the Protein-Protein Interaction Network construct. The hub genes were screened out using the Cytoscape software. Related miRNAs were predicted in miRWalk, miRDB, and TargetScan databases.\nResults: Total 368 DEGs from GSE7158 were screened out, which were mostly enriched in signaling, positive regulation of biological process and immune system process. The hub genes were clustered into two modules by PPI network analysis. We identified 15 overlapping DGEs between GSE101489 and GSE7158 microarray datasets. Moreover, all of them were up-regulated genes in both datasets. Then, nine key genes were screened out from above 15 overlapping DEGs using Cytoscape software. It is a remarkable fact that the nine genes were all in one hub gene module of GSE7158. Additionally, 183 target miRNAs were predicted according to the above nine DEGs. After cross-verification with miRNA express profile dataset for osteoporosis (GSE93883), 12 DEmiRNAs were selected. Finally, a miRNA-mRNA network was constructed with the nine key genes and 12 miRNAs, which were involved in osteoporosis.\nConclusion: Our analysis results constructed a gene expression framework in monocyte subsets for osteoporosis. This approach could provide a novel insight into osteoporosis.", "claims": [{"id": "claim-method", "statement": "The online analysis tool GEO2R (https://www.ncbi.nlm.nih.gov/geo/geo2r/) was used to detect the DEGs between HPBM and LPBM samples.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:33551990", "locator": "sections[4] \"Data Processing\" paragraph 2", "quote": "The online analysis tool GEO2R (https://www.ncbi.nlm.nih.gov/geo/geo2r/) was used to detect the DEGs between HPBM and LPBM samples."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The original contributions presented in the study are included in the article/Supplementary Material; further inquiries can be directed to the corresponding authors.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:33551990", "locator": "sections[17] \"Data Availability Statement\" paragraph 2", "quote": "The original contributions presented in the study are included in the article/Supplementary Material; further inquiries can be directed to the corresponding authors."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": null, "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:33551990"], "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:GSE101489"], "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:GSE101489"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:33551990", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.3389/fendo.2020.581878", "sha256": "sha256:a0fc95ad22f5c0ab21a95959afbbd8d9dfce860d2b5a9cc44b77a43b6b5ba93d", "bytes": 25079, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "10.3389/fendo.2020.581878", "version": null, "note": "Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.", "structure": {"pmcid": "PMC7859337", "source": "europe_pmc_fulltext", "coverage": "whole_body_without_references", "text_hash_scope": "rendered_section_body"}}, {"id": "data:geo:GSE101489", "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=GSE101489", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE101489", "version": null, "note": "The original contributions presented in the study are included in the article/Supplementary Material; further inquiries can be directed to the corresponding authors.", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "The original contributions presented in the study are included in the article/Supplementary Material; further inquiries can be directed to the corresponding authors.", "access_statement_kind": "data_availability_statement", "sample_accessions": ["GSM2704854", "GSM2704855", "GSM2704856", "GSM2704857", "GSM2704858", "GSM2704859", "GSM2704860", "GSM2704861", "GSM2704862", "GSM2704863", "GSM2704864", "GSM2704865", "GSM2704866", "GSM2704867", "GSM2704868", "GSM2704869", "GSM2704870", "GSM2704871", "GSM2704872", "GSM2704873", "GSM2704874", "GSM2704875", "GSM2704876"], "sample_count": 23, "group_sizes": null, "group_sizes_basis": null, "platform": "10904", "taxon": "Homo sapiens", "title": "Transcriptome profiling of peripheral blood mononuclear cell subsets", "resolution_checked_at": "2026-11-01T15:39:54Z", "resolution_check": "identifier_resolution_only_no_download_no_licence_read", "downloaded": false, "licence_read": false}}, {"id": "data:geo:GSE7158", "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=GSE7158", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE7158", "version": null, "note": "The original contributions presented in the study are included in the article/Supplementary Material; further inquiries can be directed to the corresponding authors.", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "The original contributions presented in the study are included in the article/Supplementary Material; further inquiries can be directed to the corresponding authors.", "access_statement_kind": "data_availability_statement", "sample_accessions": ["GSM172405", "GSM172406", "GSM172407", "GSM172408", "GSM172409", "GSM172410", "GSM172411", "GSM172412", "GSM172413", "GSM172414", "GSM172415", "GSM172416", "GSM172417", "GSM172418", "GSM172419", "GSM172420", "GSM172421", "GSM172422", "GSM172423", "GSM172424", "GSM172425", "GSM172426", "GSM172427", "GSM172428", "GSM172429", "GSM172430"], "sample_count": 26, "group_sizes": null, "group_sizes_basis": null, "platform": "570", "taxon": "Homo sapiens", "title": "Genome Wide Gene Expression Study of Circulating Monocytes in human with extremely high vs. low bone mass", "resolution_checked_at": "2026-11-01T15:39:55Z", "resolution_check": "identifier_resolution_only_no_download_no_licence_read", "downloaded": false, "licence_read": false}}, {"id": "data:geo:GSE93883", "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=GSE93883", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE93883", "version": null, "note": "The original contributions presented in the study are included in the article/Supplementary Material; further inquiries can be directed to the corresponding authors.", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "The original contributions presented in the study are included in the article/Supplementary Material; further inquiries can be directed to the corresponding authors.", "access_statement_kind": "data_availability_statement", "sample_accessions": ["GSM2464440", "GSM2464441", "GSM2464442", "GSM2464443", "GSM2464444", "GSM2464445", "GSM2464446", "GSM2464447", "GSM2464448", "GSM2464449", "GSM2464450", "GSM2464451", "GSM2464452", "GSM2464453", "GSM2464454", "GSM2464455", "GSM2464456", "GSM2464457"], "sample_count": 18, "group_sizes": null, "group_sizes_basis": null, "platform": "18058", "taxon": "Homo sapiens; Mus musculus; Rattus norvegicus", "title": "Gene expression-based, individualized outcome prediction for osteoporosis with vertebral fracture", "resolution_checked_at": "2026-11-01T15:39:55Z", "resolution_check": "identifier_resolution_only_no_download_no_licence_read", "downloaded": false, "licence_read": false}}, {"id": "asset:table:pmid:33551990:1", "role": "table", "format": "jats-table", "media_type": "application/vnd.jats.table+json", "uri": null, "sha256": "sha256:960edd771350fa13b1103b3f2b92774d8f8bebbd33b76fee2e27b686d3025898", "bytes": 2319, "access": "open", "state": "verified", "reader": "read_table", "reader_status": "available", "identifier": "section[9]/table-wrap[1]#T1", "version": null, "note": "Top 20 enriched terms for differentially expressed genes in monocytes of low peak bone mass (LPBM).", "structure": {"pmcid": "PMC7859337", "section_index": 9, "section_title": "Identification and Enrichment of Differentially Expressed Genes in Low-Peak Bone Mass Monocytes", "row_count": 21, "column_count": 7}, "table": {"label": "Table 1", "caption": "Top 20 enriched terms for differentially expressed genes in monocytes of low peak bone mass (LPBM).", "rows": [["GO", "Category", "Description", "Count", "%", "Log10(P)", "Log10(q)"], ["GO:0070528", "GO Biological Processes", "protein kinase C signaling", "7", "1.98", "–6.5", "–2.14"], ["GO:0002385", "GO Biological Processes", "mucosal immune response", "6", "1.69", "–4.92", "–1.21"], ["GO:0001906", "GO Biological Processes", "cell killing", "11", "3.11", "–4.23", "–0.82"], ["GO:0098552", "GO Cellular Components", "side of membrane", "22", "6.21", "–4.13", "–0.77"], ["GO:0031225", "GO Cellular Components", "anchored component of membrane", "10", "2.82", "–3.76", "–0.58"], ["GO:0043025", "GO Cellular Components", "neuronal cell body", "19", "5.37", "–3.72", "–0.57"], ["GO:0043114", "GO Biological Processes", "regulation of vascular permeability", "5", "1.41", "–3.67", "–0.54"], ["GO:0010810", "GO Biological Processes", "regulation of cell-substrate adhesion", "11", "3.11", "–3.48", "–0.5"], ["GO:0048762", "GO Biological Processes", "mesenchymal cell differentiation", "11", "3.11", "–3.43", "–0.5"], ["GO:0002068", "GO Biological Processes", "glandular epithelial cell development", "4", "1.13", "–3.29", "–0.47"], ["GO:0003678", "GO Molecular Functions", "DNA helicase activity", "6", "1.69", "–2.99", "–0.2"], ["GO:0051216", "GO Biological Processes", "cartilage development", "10", "2.82", "–2.95", "–0.18"], ["GO:1901611", "GO Molecular Functions", "phosphatidylglycerol binding", "3", "0.85", "–2.92", "–0.16"], ["GO:0042623", "GO Molecular Functions", "ATPase activity, coupled", "12", "3.39", "–2.9", "-0.16"], ["GO:0030011", "GO Biological Processes", "maintenance of cell polarity", "3", "0.85", "–2.75", "-0.04"], ["GO:0071634", "GO Biological Processes", "regulation of transforming growth factor beta production", "4", "1.13", "–2.75", "–0.04"], ["GO:0005938", "GO Cellular Components", "cell cortex", 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Interaction Network Analysis and Hub Gene Identification of Differentially Expressed Genes in Low-Peak Bone Mass Monocytes", "row_count": 11, "column_count": 4}, "table": {"label": "Table 2", "caption": "The hub genes for DEGs in monocytes of LPBM.", "rows": [["Rank", "Gene Symbol", "Gene Name", "MMC Score"], ["1", "RHOH", "Ras homolog family member H", "104"], ["2", "RHOJ", "Ras Homolog Family Member J", "102"], ["2", "RHOBTB2", "Rho Related BTB Domain Containing 2", "102"], ["4", "FN1", "Fibronectin 1", "68"], ["5", "PRF1", "Perforin 1", "67"], ["6", "CFL1", "Cofilin 1", "58"], ["7", "KLRD1", "Killer Cell Lectin Like Receptor D1", "56"], ["8", "DOCK1", "Dedicator of Cytokinesis 1", "51"], ["9", "NCR1", "Natural Cytotoxicity Triggering Receptor 1", "43"], ["10", "SLAMF1", "Signaling Lymphocytic Activation Molecule Family Member 1", "38"]], "row_count": 11, "column_count": 4, "numeric_cells": 27, "header_rows": 1, "locator": "section[11]/table-wrap[1]#T2"}}, {"id": 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["hsa04650", "KEGG Pathway", "Natural killer cell mediated cytotoxicity", "15", "8.29", "–13.14", "–9.08"], ["GO:0006968", "GO Biological Processes", "cellular defense response", "10", "5.52", "–11.23", "–7.35"], ["GO:0046649", "GO Biological Processes", "lymphocyte activation", "27", "14.92", "–10.95", "–7.22"], ["GO:0002250", "GO Biological Processes", "adaptive immune response", "26", "14.36", "–10.88", "–7.22"], ["GO:0001772", "GO Cellular Components", "immunological synapse", "7", "3.87", "–8.02", "–4.87"], ["GO:0032609", "GO Biological Processes", "interferon-gamma production", "10", "5.52", "–7.89", "–4.79"], ["GO:0023024", "GO Molecular Functions", "MHC class I protein complex binding", "4", "2.21", "–7.36", "–4.4"], ["GO:0043152", "GO Biological Processes", "induction of bacterial agglutination", "4", "2.21", "–6.99", "–4.11"], ["GO:0006935", "GO Biological Processes", "chemotaxis", "19", "10.5", "–6.39", "–3.64"], ["hsa04660", "KEGG Pathway", "T cell receptor signaling pathway", "8", "4.42", "–5.99", "–3.31"], ["GO:0002366", "GO Biological Processes", "leukocyte activation involved in immune response", "19", "10.5", "–5.8", "–3.14"], ["GO:0019835", "GO Biological Processes", "cytolysis", "5", "2.76", "–5.74", "–3.1"], ["GO:0048015", "GO Biological Processes", "phosphatidylinositol-mediated signaling", "10", "5.52", "–5.74", "–3.1"], ["GO:0043235", "GO Cellular Components", "receptor complex", "16", "8.84", "–5.72", "–3.09"], ["GO:0030246", "GO Molecular Functions", "carbohydrate binding", "11", "6.08", "–5.33", "–2.78"], ["GO:0060191", "GO Biological Processes", "regulation of lipase activity", "7", "3.87", "–5.03", "–2.54"], ["GO:0051092", "GO Biological Processes", "positive regulation of NF-kappaB transcription factor activity", "8", "4.42", "–4.71", "–2.26"], ["GO:0032393", "GO Molecular Functions", "MHC class I receptor activity", "3", "1.66", "–4.48", "–2.11"], ["GO:0009897", "GO Cellular Components", "external side of plasma membrane", "12", 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