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pmid:34285553

Bioinformatics Analysis of Neuroblastoma miRNA Based on GEO Data.

Jiandong Shi · Piaoyan Zhang · Huarong Su · Lingyi Cai · Liang Zhao · Haixia Zhou

Pharmacogenomics and personalized medicine · 2021 doi:10.2147/PGPM.S312171

Paper

complete

Experiment

complete

Data

partial

Analysis

complete

Execution

absent

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Record details sci_version · id · kind · revision · content_hash · schema · created_at · updated_at · generator
id
pmid:34285553
kind
science-record
content_hash
sha256:be42dc0cb1c4a05b6596131a69518957263b014746b1521250028be5e35bbfc3
schema
https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json
created_at
2026-11-01T15:41:44Z
updated_at
2026-11-01T22:04:16Z
generator object · 2 fields
name
corpus-assay-engine
run_id
reading-sci-2026-11-01
paper object · 10 fields
state
complete
title
Bioinformatics Analysis of Neuroblastoma miRNA Based on GEO Data.
doi
10.2147/PGPM.S312171
pmid
34285553
authors array · 6 items
[0]
Jiandong Shi
[1]
Piaoyan Zhang
[2]
Huarong Su
[3]
Lingyi Cai
[4]
Liang Zhao
[5]
Haixia Zhou
journal
Pharmacogenomics and personalized medicine
year
2021
abstract
OBJECTIVE: To analyze the changes in downstream genes, signaling pathways, and proteins based on the difference of microRNA (miRNA) expression in neuroblastoma (NB). METHODS: GSE128004 second-generation sequencing expression data were downloaded from GEO, and Limma package of R language was used to analyze differential expression, and a volcano map and heat map were drawn; the target genes corresponding to the differential miRNA were found using the miWalk web tool, and GO (Gene Ontology) and KEGG (Kyoto Encyclopedia of Genes and Genomes) were performed. The key genes were identified and verified in the TCGA database. RESULTS: A total of 34 differentially expressed miRNAs were screened out. Among them, 22 up-regulated miRNAs predicted 1163 target genes and 12 down-regulated miRNAs predicted 1474 target genes. Target genes were enriched and analyzed by KEGG to find the FOXO signal pathway, mTOR signal pathway, AMPK signal pathway, and other signal pathways. After GO analysis, axon formation, regulation of chemical synaptic transmitters, regulation of nerve synapses, regulation of cross-synaptic signals, and other physiological processes were assessed. A total of 16 key genes were obtained by PPI analysis, and the survival analysis of TP53 and ATM genes verified in the TCGA database showed statistical significance. CONCLUSION: The 34 differential miRNAs may be related to the occurrence and development of NB. TP53 and ATM are related to the prognosis of NB. The role and mechanism of TP53 and ATM in NB need to be further verified.
claims array · 1 item
[0] object · 6 fields
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claim-data-access
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The original data of microRNA second-generation sequencing were collected from the GEO database (https://www.ncbi.nlm.nih.gov/gds). The ID number of the second-generation sequencing data is GSE128004, and the sequencing platform was GPL23227 BGISEQ-500 (Homo sapiens). The sequencing samples were collected from the peripheral blood of 15 children with NB and 3 healthy controls, including 15 NB samples (GSM3660254-GSM3660268) and 3 control samples (GSM3660269-GSM3660271).
kind
methodological
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null
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source:pmid:34285553
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sections[3] "Data Collection" paragraph 2
quote
The original data of microRNA second-generation sequencing were collected from the GEO database (https://www.ncbi.nlm.nih.gov/gds). The ID number of the second-generation sequencing data is GSE128004, and the sequencing platform was GPL23227 BGISEQ-500 (Homo sapiens). The sequencing samples were collected from the peripheral blood of 15 children with NB and 3 healthy controls, including 15 NB samples (GSM3660254-GSM3660268) and 3 control samples (GSM3660269-GSM3660271).
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complete
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experiment object · 8 fields
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null
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read_published_estimate
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1
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Read the published estimate from the source
kind
other
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complete
blocked_on
null
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The claim, method and evidence span published with the source article.
parameters object · 0 fields
inputs array · 1 item
[0]
source:pmid:34285553
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[0]
the published estimate and its evidence
instruments array · 0 items
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[1] object · 13 fields
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obtain_source_data
order
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Obtain the source data from the named repository
kind
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complete
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null
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The GEO series accession resolves and its sample accessions are listed. This lane did not download the dataset or read its licence.
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[0]
data:geo:GSE128004
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[0]
the source data with its repository provenance
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Run the published analysis
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Apply the paper's statistical method to the resolved series and compare the result with the published target.
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[0]
data:geo:GSE128004
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[0]
the replicated result and its comparison
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https://doi.org/10.2147/PGPM.S312171
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10.2147/PGPM.S312171
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Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.
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PMC8286151
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europe_pmc_fulltext
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whole_body_without_references
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[1] object · 15 fields
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data:geo:GSE128004
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note
The original data of microRNA second-generation sequencing were collected from the GEO database (https://www.ncbi.nlm.nih.gov/gds). The ID number of the second-generation sequencing data is GSE128004, and the sequencing platform was GPL23227 BGISEQ-500 (Homo sapiens). The sequencing samples were collected from the peripheral blood of 15 children with NB and 3 healthy controls, including 15 NB samples (GSM3660254-GSM3660268) and 3 control samples (GSM3660269-GSM3660271).
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
The original data of microRNA second-generation sequencing were collected from the GEO database (https://www.ncbi.nlm.nih.gov/gds). The ID number of the second-generation sequencing data is GSE128004, and the sequencing platform was GPL23227 BGISEQ-500 (Homo sapiens). The sequencing samples were collected from the peripheral blood of 15 children with NB and 3 healthy controls, including 15 NB samples (GSM3660254-GSM3660268) and 3 control samples (GSM3660269-GSM3660271).
access_statement_kind
repository_route_statement
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[0]
GSM3660254
[1]
GSM3660255
[2]
GSM3660256
[3]
GSM3660257
[4]
GSM3660258
[5]
GSM3660259
[6]
GSM3660260
[7]
GSM3660261
[8]
GSM3660262
[9]
GSM3660263
[10]
GSM3660264
[11]
GSM3660265
[12]
GSM3660266
[13]
GSM3660267
[14]
GSM3660268
[15]
GSM3660269
[16]
GSM3660270
[17]
GSM3660271
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18
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null
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null
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23227
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Homo sapiens
title
Exosomal hsa-miR199a-3p promotes proliferation and metastasis in neuroblastoma
resolution_checked_at
2026-11-01T15:39:54Z
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identifier_resolution_only_no_download_no_licence_read
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false
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Differentially Expressed miRNAs
structure object · 5 fields
pmcid
PMC8286151
section_index
10
section_title
Analysis of Differentially Expressed Genes
row_count
35
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4
table object · 8 fields
label
Table 1
caption
Differentially Expressed miRNAs
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[0] array · 4 items
[0]
[1]
LogFC
[2]
P.Value
[3]
Change
[1] array · 4 items
[0]
hsa-miR-877-5p
[1]
6.035876
[2]
4.22E-05
[3]
UP
[2] array · 4 items
[0]
hsa-miR-7704
[1]
5.846523
[2]
0.000203
[3]
UP
[3] array · 4 items
[0]
hsa-miR-127-3p
[1]
3.32826
[2]
0.000308
[3]
UP
[4] array · 4 items
[0]
hsa-miR-369-5p
[1]
3.068657
[2]
0.00172
[3]
UP
[5] array · 4 items
[0]
hsa-miR-654-5p
[1]
3.769141
[2]
0.004878
[3]
UP
[6] array · 4 items
[0]
hsa-miR-1468-5p
[1]
3.233108
[2]
0.00564
[3]
UP
[7] array · 4 items
[0]
hsa-miR-132-5p
[1]
3.147397
[2]
0.006992
[3]
UP
[8] array · 4 items
[0]
hsa-miR-223-5p
[1]
3.394489
[2]
0.010416
[3]
UP
[9] array · 4 items
[0]
hsa-miR-412-5p
[1]
4.765532
[2]
0.011007
[3]
UP
[10] array · 4 items
[0]
hsa-miR-5010-5p
[1]
3.769372
[2]
0.018675
[3]
UP
[11] array · 4 items
[0]
hsa-miR-432-5p
[1]
3.430824
[2]
0.020249
[3]
UP
[12] array · 4 items
[0]
hsa-miR-1284
[1]
3.734122
[2]
0.020616
[3]
UP
[13] array · 4 items
[0]
hsa-miR-323a-3p
[1]
3.729744
[2]
0.021401
[3]
UP
[14] array · 4 items
[0]
hsa-miR-410-3p
[1]
3.78004
[2]
0.026546
[3]
UP
[15] array · 4 items
[0]
hsa-miR-382-5p
[1]
3.084026
[2]
0.029777
[3]
UP
[16] array · 4 items
[0]
hsa-miR-490-5p
[1]
3.598977
[2]
0.032409
[3]
UP
[17] array · 4 items
[0]
hsa-miR-487a-5p
[1]
3.327275
[2]
0.034281
[3]
UP
[18] array · 4 items
[0]
hsa-miR-744-3p
[1]
2.999005
[2]
0.035594
[3]
UP
[19] array · 4 items
[0]
hsa-miR-615-3p
[1]
2.690153
[2]
0.036106
[3]
UP
[20] array · 4 items
[0]
hsa-miR-4659a-3p
[1]
3.897584
[2]
0.038346
[3]
UP
[21] array · 4 items
[0]
hsa-miR-4435
[1]
3.353725
[2]
0.039823
[3]
UP
[22] array · 4 items
[0]
hsa-miR-3614-5p
[1]
3.56925
[2]
0.043763
[3]
UP
[23] array · 4 items
[0]
hsa-miR-1229-3p
[1]
−2.65241
[2]
0.000481
[3]
DOWN
[24] array · 4 items
[0]
hsa-miR-1292-5p
[1]
−3.61094
[2]
0.000721
[3]
DOWN
[25] array · 4 items
[0]
hsa-miR-6894-3p
[1]
−3.29068
[2]
0.001289
[3]
DOWN
[26] array · 4 items
[0]
hsa-miR-4685-3p
[1]
−4.07869
[2]
0.00293
[3]
DOWN
[27] array · 4 items
[0]
hsa-miR-200a-3p
[1]
−4.28626
[2]
0.019782
[3]
DOWN
[28] array · 4 items
[0]
hsa-miR-30a-5p
[1]
−3.45932
[2]
0.020238
[3]
DOWN
[29] array · 4 items
[0]
hsa-miR-671-5p
[1]
−2.51995
[2]
0.026266
[3]
DOWN
[30] array · 4 items
[0]
hsa-miR-1260b
[1]
−3.32059
[2]
0.034006
[3]
DOWN
[31] array · 4 items
[0]
hsa-miR-21-3p
[1]
−3.15339
[2]
0.038475
[3]
DOWN
[32] array · 4 items
[0]
hsa-miR-190b
[1]
−2.7182
[2]
0.040319
[3]
DOWN
[33] array · 4 items
[0]
hsa-miR-421
[1]
−2.53751
[2]
0.045866
[3]
DOWN
[34] array · 4 items
[0]
hsa-miR-29b-3p
[1]
−3.37678
[2]
0.046898
[3]
DOWN
locator
section[10]/table-wrap[1]#t0001
gaps array · 2 items
[0]
asset:data:geo:GSE128004 not downloaded
[1]
asset:data:geo:GSE128004 licence not read
analysis object · 4 fields
state
complete
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[0] object · 10 fields
id
method-1
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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 · 0 fields
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[0]
count_matrix_with_condition
evidence object · 3 fields
score
0.7
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quote
Limma
[1] object · 10 fields
id
method-2
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network_analysis
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Network / pathway analysis
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[0]
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evidence object · 3 fields
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Network / pathway analysis
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[0]
pathway_enrich
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edge_list
evidence object · 3 fields
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0.8
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GO Enrichment
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capability object · 3 fields
state
complete
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[0] object · 6 fields
capability_id
capability:computational_analysis
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Computational analysis platform
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[0]
meta_analysis
[1]
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[2]
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[3]
statistical_regression
[4]
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[5]
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[6]
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[7]
differential_expression
[8]
gwas
candidate
Automated Assays Laravel application and simulated adapters
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readiness object · 8 fields
state
complete
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R1
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nothing:replicable_now
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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
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capability_id
capability:computational_analysis
availability_state
owned
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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
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[0]
GSE128004
resolved_accessions array · 1 item
[0]
GSE128004
statements array · 1 item
[0]
The original data of microRNA second-generation sequencing were collected from the GEO database (https://www.ncbi.nlm.nih.gov/gds). The ID number of the second-generation sequencing data is GSE128004, and the sequencing platform was GPL23227 BGISEQ-500 (Homo sapiens). The sequencing samples were collected from the peripheral blood of 15 children with NB and 3 healthy controls, including 15 NB samples (GSM3660254-GSM3660268) and 3 control samples (GSM3660269-GSM3660271).
basis
The paper names GSE128004 in GEO and the accession resolves in the repository. No dataset was downloaded and no licence was read.
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differential_expression_fit
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minimax
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pmid:34285553
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paper
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pmid:34285553
[1] object · 3 fields
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source:pmid:34285553
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manuscript
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PMID 34285553 full text
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id
data:geo:GSE128004
type
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GEO GSE128004
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pmid:34285553
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data:geo:GSE128004
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pmid:34285553
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[5]
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f2132e96ae6c7a4e
evidence array · 1 item
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order_basis
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Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:34285553", "kind": "science-record", "revision": 8, "content_hash": "sha256:be42dc0cb1c4a05b6596131a69518957263b014746b1521250028be5e35bbfc3", "created_at": "2026-11-01T15:41:44Z", "updated_at": "2026-11-01T22:04:16Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Bioinformatics Analysis of Neuroblastoma miRNA Based on GEO Data.", "doi": "10.2147/PGPM.S312171", "pmid": "34285553", "authors": ["Jiandong Shi", "Piaoyan Zhang", "Huarong Su", "Lingyi Cai", "Liang Zhao", "Haixia Zhou"], "journal": "Pharmacogenomics and personalized medicine", "year": 2021, "abstract": "OBJECTIVE: To analyze the changes in downstream genes, signaling pathways, and proteins based on the difference of microRNA (miRNA) expression in neuroblastoma (NB).\nMETHODS: GSE128004 second-generation sequencing expression data were downloaded from GEO, and Limma package of R language was used to analyze differential expression, and a volcano map and heat map were drawn; the target genes corresponding to the differential miRNA were found using the miWalk web tool, and GO (Gene Ontology) and KEGG (Kyoto Encyclopedia of Genes and Genomes) were performed. The key genes were identified and verified in the TCGA database.\nRESULTS: A total of 34 differentially expressed miRNAs were screened out. Among them, 22 up-regulated miRNAs predicted 1163 target genes and 12 down-regulated miRNAs predicted 1474 target genes. Target genes were enriched and analyzed by KEGG to find the FOXO signal pathway, mTOR signal pathway, AMPK signal pathway, and other signal pathways. After GO analysis, axon formation, regulation of chemical synaptic transmitters, regulation of nerve synapses, regulation of cross-synaptic signals, and other physiological processes were assessed. A total of 16 key genes were obtained by PPI analysis, and the survival analysis of TP53 and ATM genes verified in the TCGA database showed statistical significance.\nCONCLUSION: The 34 differential miRNAs may be related to the occurrence and development of NB. TP53 and ATM are related to the prognosis of NB. The role and mechanism of TP53 and ATM in NB need to be further verified.", "claims": [{"id": "claim-data-access", "statement": "The original data of microRNA second-generation sequencing were collected from the GEO database (https://www.ncbi.nlm.nih.gov/gds). The ID number of the second-generation sequencing data is GSE128004, and the sequencing platform was GPL23227 BGISEQ-500 (Homo sapiens). The sequencing samples were collected from the peripheral blood of 15 children with NB and 3 healthy controls, including 15 NB samples (GSM3660254-GSM3660268) and 3 control samples (GSM3660269-GSM3660271).", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:34285553", "locator": "sections[3] \"Data Collection\" paragraph 2", "quote": "The original data of microRNA second-generation sequencing were collected from the GEO database (https://www.ncbi.nlm.nih.gov/gds). The ID number of the second-generation sequencing data is GSE128004, and the sequencing platform was GPL23227 BGISEQ-500 (Homo sapiens). The sequencing samples were collected from the peripheral blood of 15 children with NB and 3 healthy controls, including 15 NB samples (GSM3660254-GSM3660268) and 3 control samples (GSM3660269-GSM3660271)."}], "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:34285553"], "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:GSE128004"], "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:GSE128004"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:34285553", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.2147/PGPM.S312171", "sha256": "sha256:5d3c8eaf2797f2c06dca81a1a5beb26feff6ebfa75b2c1773ca8f76cda57acfb", "bytes": 16089, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "10.2147/PGPM.S312171", "version": null, "note": "Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.", "structure": {"pmcid": "PMC8286151", "source": "europe_pmc_fulltext", "coverage": "whole_body_without_references", "text_hash_scope": "rendered_section_body"}}, {"id": "data:geo:GSE128004", "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=GSE128004", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE128004", "version": null, "note": "The original data of microRNA second-generation sequencing were collected from the GEO database (https://www.ncbi.nlm.nih.gov/gds). The ID number of the second-generation sequencing data is GSE128004, and the sequencing platform was GPL23227 BGISEQ-500 (Homo sapiens). The sequencing samples were collected from the peripheral blood of 15 children with NB and 3 healthy controls, including 15 NB samples (GSM3660254-GSM3660268) and 3 control samples (GSM3660269-GSM3660271).", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "The original data of microRNA second-generation sequencing were collected from the GEO database (https://www.ncbi.nlm.nih.gov/gds). The ID number of the second-generation sequencing data is GSE128004, and the sequencing platform was GPL23227 BGISEQ-500 (Homo sapiens). The sequencing samples were collected from the peripheral blood of 15 children with NB and 3 healthy controls, including 15 NB samples (GSM3660254-GSM3660268) and 3 control samples (GSM3660269-GSM3660271).", "access_statement_kind": "repository_route_statement", "sample_accessions": ["GSM3660254", "GSM3660255", "GSM3660256", "GSM3660257", "GSM3660258", "GSM3660259", "GSM3660260", "GSM3660261", "GSM3660262", "GSM3660263", "GSM3660264", "GSM3660265", "GSM3660266", "GSM3660267", "GSM3660268", "GSM3660269", "GSM3660270", "GSM3660271"], "sample_count": 18, "group_sizes": null, "group_sizes_basis": null, "platform": "23227", "taxon": "Homo sapiens", "title": "Exosomal hsa-miR199a-3p promotes  proliferation and metastasis in  neuroblastoma", "resolution_checked_at": "2026-11-01T15:39:54Z", "resolution_check": "identifier_resolution_only_no_download_no_licence_read", "downloaded": false, "licence_read": false}}, {"id": "asset:table:pmid:34285553:1", "role": "table", "format": "jats-table", "media_type": "application/vnd.jats.table+json", "uri": null, "sha256": "sha256:8969d86f84f3e8fc3f86e3e8284d86072fefd98281d71bbd6e944941e0200f98", "bytes": 1820, "access": "open", "state": "verified", "reader": "read_table", "reader_status": "available", "identifier": "section[10]/table-wrap[1]#t0001", "version": null, "note": "Differentially Expressed miRNAs", "structure": {"pmcid": "PMC8286151", "section_index": 10, "section_title": "Analysis of Differentially Expressed Genes", "row_count": 35, "column_count": 4}, "table": {"label": "Table 1", "caption": "Differentially Expressed miRNAs", "rows": [["", "LogFC", "P.Value", "Change"], ["hsa-miR-877-5p", "6.035876", "4.22E-05", "UP"], ["hsa-miR-7704", "5.846523", "0.000203", "UP"], ["hsa-miR-127-3p", "3.32826", "0.000308", "UP"], ["hsa-miR-369-5p", "3.068657", "0.00172", "UP"], ["hsa-miR-654-5p", "3.769141", "0.004878", "UP"], ["hsa-miR-1468-5p", "3.233108", "0.00564", "UP"], ["hsa-miR-132-5p", "3.147397", "0.006992", "UP"], ["hsa-miR-223-5p", "3.394489", "0.010416", "UP"], ["hsa-miR-412-5p", "4.765532", "0.011007", "UP"], ["hsa-miR-5010-5p", "3.769372", "0.018675", "UP"], ["hsa-miR-432-5p", "3.430824", "0.020249", "UP"], ["hsa-miR-1284", "3.734122", "0.020616", "UP"], ["hsa-miR-323a-3p", "3.729744", "0.021401", "UP"], ["hsa-miR-410-3p", "3.78004", "0.026546", "UP"], ["hsa-miR-382-5p", "3.084026", "0.029777", "UP"], ["hsa-miR-490-5p", "3.598977", "0.032409", "UP"], ["hsa-miR-487a-5p", "3.327275", "0.034281", "UP"], ["hsa-miR-744-3p", "2.999005", "0.035594", "UP"], ["hsa-miR-615-3p", "2.690153", "0.036106", "UP"], ["hsa-miR-4659a-3p", "3.897584", "0.038346", "UP"], ["hsa-miR-4435", "3.353725", "0.039823", "UP"], ["hsa-miR-3614-5p", "3.56925", "0.043763", "UP"], ["hsa-miR-1229-3p", "−2.65241", "0.000481", "DOWN"], ["hsa-miR-1292-5p", "−3.61094", "0.000721", "DOWN"], ["hsa-miR-6894-3p", "−3.29068", "0.001289", "DOWN"], ["hsa-miR-4685-3p", "−4.07869", "0.00293", "DOWN"], ["hsa-miR-200a-3p", "−4.28626", 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The physical bench the paper used is not, so a physical validation cannot be run here."}, "data": {"tier": "R1", "reachable": true, "accessions": ["GSE128004"], "resolved_accessions": ["GSE128004"], "statements": ["The original data of microRNA second-generation sequencing were collected from the GEO database (https://www.ncbi.nlm.nih.gov/gds). The ID number of the second-generation sequencing data is GSE128004, and the sequencing platform was GPL23227 BGISEQ-500 (Homo sapiens). The sequencing samples were collected from the peripheral blood of 15 children with NB and 3 healthy controls, including 15 NB samples (GSM3660254-GSM3660268) and 3 control samples (GSM3660269-GSM3660271)."], "basis": "The paper names GSE128004 in GEO and the accession resolves in the repository. No dataset was downloaded and no licence was read."}}, "can_run": {"dsl_operations": ["normalise_counts", "differential_expression_fit", "fdr_bh"], "assets": ["source:pmid:34285553", "data:geo:GSE128004", "asset:table:pmid:34285553:1"], "steps": ["run_analysis"]}, "must_build": {"dsl_operations": [], "converters": [], "readers": [], "capabilities": [], "data_gaps": ["data:geo:GSE128004"]}, "gaps": []}, "review": {"state": "partial", "machine_critique": {"kind": "extraction_review", "reader": {"model": "MiniMax-M3.1-Flash", "provider": "minimax", "provider_family": "minimax", "read_at": "2026-10-31T19:42:11Z", "independence": "single_reader"}, "evidence_check": {"method": "absent", "availability": null}, "calls": 3, "usage": {"prompt_tokens": 13663, "completion_tokens": 1439, "cached_tokens": 4616}}, "human_critique": null, "stages": [{"id": "extraction", "state": "complete", "reader": "MiniMax-M3.1-Flash", "provider": "minimax"}], "gaps": ["review.independent_reader", "review.machine_critique", "review.human_critique"]}, "execution": {"state": "absent", "status": "not_run", "mode": null, "runs": [], "gaps": ["execution.not_run"]}, "provenance": {"entities": [{"id": "pmid:34285553", "type": "paper", "label": "pmid:34285553"}, {"id": "source:pmid:34285553", "type": "manuscript", "label": "PMID 34285553 full text"}, {"id": "data:geo:GSE128004", "type": "dataset", "label": "GEO GSE128004"}], "activities": [{"id": "activity-reading-sci-2026-11-01", "type": "classification", "used": [{"id": "pmid:34285553", "type": "paper", "label": "pmid:34285553"}, {"id": "source:pmid:34285553", "type": "manuscript", "label": "PMID 34285553 full text"}, {"id": "data:geo:GSE128004", "type": "dataset", "label": "GEO GSE128004"}], "agent": "agent:corpus-assay-engine"}, {"id": "activity-read-34285553", "type": "extraction", "used": ["source:pmid:34285553"], "agent": "agent:minimax-reader"}, {"id": "activity-resolve-GSE128004", "type": "accession_resolution", "used": ["data:geo:GSE128004"], "agent": "agent:corpus-assay-engine"}], "agents": [{"id": "agent:corpus-assay-engine", "type": "software", "label": "Corpus assay engine"}, {"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": {"parent_id": "pmid:34285553", "parent_hash": "sha256:98326aee8be65200e56131cc53fc44aa1f36af5a1486d126bd37c8d9713d16f1", "fork_of": null, "generation": 7}, "gaps": ["asset:data:geo:GSE128004 licence not read", "asset:data:geo:GSE128004 not downloaded", "execution.not_run", "review.human_critique", "review.independent_reader", "review.machine_critique"], "assays": [{"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": 0.7, "evidence": ["Limma"], "order_basis": "analysis_only", "id": "assay:1"}]}