Corpus Engine Towards a reproducible .science file.
← All .science files

pmid:37824561

On the utilization of the induced pluripotent stem cell (iPSC) model to study substance use disorders: A scoping review protocol.

Wasiri Niemis · Shenita R Peterson · Chrisabella Javier · Amy Nguyen · Sanchi Subiah · Rohan H C Palmer

PloS one · 2023 doi:10.1371/journal.pone.0292238

Paper

complete

Experiment

partial

Data

partial

Analysis

absent

Execution

absent

Execution evidence has not yet been added to this .science file. Explore its methods, data and open questions to plan the next step.
Record details sci_version · id · kind · revision · content_hash · schema · created_at · updated_at · generator
id
pmid:37824561
kind
science-record
content_hash
sha256:ce6822a93fd138ba86baecad51d89da6047e1bda9c0c3fc708c577ad0ebe560b
schema
https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json
created_at
2026-11-01T23:51:27Z
updated_at
2026-11-01T23:51:27Z
generator object · 2 fields
name
corpus-assay-engine
run_id
reading-sci-2026-11-01
paper object · 10 fields
state
complete
title
On the utilization of the induced pluripotent stem cell (iPSC) model to study substance use disorders: A scoping review protocol.
doi
10.1371/journal.pone.0292238
pmid
37824561
authors array · 6 items
[0]
Wasiri Niemis
[1]
Shenita R Peterson
[2]
Chrisabella Javier
[3]
Amy Nguyen
[4]
Sanchi Subiah
[5]
Rohan H C Palmer
journal
PloS one
year
2023
abstract
INTRODUCTION: Induced pluripotent stem cells (iPSCs) are cells derived from somatic cells via reprogramming techniques. The iPSC approach has been increasingly used in neuropsychiatric research in the last decade. Though substance use disorders (SUDs) are a commonly occurring psychiatric disorder, the application of iPSC model in addiction research has been limited. No comprehensive review has been reported. We conducted a scoping review to collate existing evidence on the iPSC technologies applied to SUD research. We aim to identify current knowledge gaps and limitations in order to advance the use of iPSCs in the SUD field. METHODS AND ANALYSIS: We employed a scoping review using the methodological framework first created by Arksey and O'Malley and further updated by Levac et al. and the Joanna Briggs Institute (JBI). We adopted the Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for Protocols (PRISMA-P) to report items for the protocol. We searched evidence from four electronic databases: PubMed®, Embase®, Web of Science™, and Scopus®. Primary research, systematic reviews, and meta-analyses were included and limited to studies published in English, at the time from 2007 to March 2022. This is an "ongoing" scoping review. Searched studies will be independently screened, selected, and extracted by two reviewers. Disagreement will be solved by the third reviewer and discussion. Extracted data will be analyzed in descriptive and quantitative approaches, then summarized and presented in appropriate formats. Results will be reported following the Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR) guideline and disseminated through a peer-reviewed publication and conference presentations. CONCLUSION: To our best knowledge, this is the first comprehensive scoping review of iPSC methods specifically applied to a broad range of addictive drugs/substances that lead to SUDs or misuse behavior. REGISTRATION: This protocol is registered on Zenodo repository (https://zenodo.org/) with doi:10.5281/zenodo.7915252.
claims array · 0 items
gaps array · 0 items
experiment object · 8 fields
state
partial
steps array · 3 items
[0] object · 13 fields
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.
parameters object · 0 fields
inputs array · 1 item
[0]
source:pmid:37824561
outputs array · 1 item
[0]
the published estimate and its evidence
instruments array · 0 items
reagents array · 0 items
[1] object · 13 fields
id
obtain_source_data
order
2
name
Obtain the source data from the named repository
kind
data-preparation
state
blocked
blocked_on
data:accession_absent
description
The GEO series accession resolves and its sample accessions are listed. This lane did not download the dataset or read its licence.
parameters object · 0 fields
inputs array · 0 items
outputs array · 1 item
[0]
the source data with its repository provenance
instruments array · 0 items
reagents array · 0 items
[2] object · 13 fields
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.
parameters object · 0 fields
inputs array · 0 items
outputs array · 1 item
[0]
the replicated result and its comparison
instruments array · 0 items
reagents array · 0 items
materials array · 0 items
instruments array · 0 items
reagents array · 0 items
conditions object · 0 fields
gaps array · 1 item
[0]
step:obtain_source_data blocked on data:accession_absent
data object · 3 fields
state
partial
assets array · 1 item
[0] object · 15 fields
id
source:pmid:37824561
role
manuscript
format
xml
media_type
application/xml
uri
https://doi.org/10.1371/journal.pone.0292238
sha256
sha256:3c41628fe403a40c60edfc107900761189c91c60bd448465a7b5f632a42630de
bytes
53940
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
10.1371/journal.pone.0292238
version
null
note
Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.
structure object · 4 fields
pmcid
PMC10569547
source
europe_pmc_fulltext
coverage
whole_body_without_references
text_hash_scope
rendered_section_body
gaps array · 0 items
analysis object · 4 fields
state
absent
methods array · 0 items
targets array · 0 items
gaps array · 2 items
[0]
method
[1]
operations
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
blocked
tier
R4
blocked_on
data:accession_absent
axes object · 3 fields
method object · 5 fields
tier
R4
expressible
false
required_operations array · 0 items
missing_operations array · 0 items
basis
The reader quoted the method the paper names (not named), but the corpus's method extractor could not map it onto a DSL operation, so the method is published but not expressible.
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
R4
reachable
false
accessions array · 0 items
resolved_accessions array · 0 items
statements array · 0 items
basis
The paper names no accession to its source data, so the data has to come from the authors.
can_run object · 3 fields
dsl_operations array · 0 items
assets array · 1 item
[0]
source:pmid:37824561
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:None
gaps array · 1 item
[0]
data:accession_absent
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
2026-11-01T23:22:49Z
independence
single_reader
evidence_check object · 2 fields
method
null
availability
null
calls
5
usage object · 3 fields
prompt_tokens
13697
completion_tokens
324
cached_tokens
13696
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:37824561
type
paper
label
pmid:37824561
[1] object · 3 fields
id
source:pmid:37824561
type
manuscript
label
PMID 37824561 full text
[2] object · 3 fields
id
data:geo:None
type
dataset
label
GEO None
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:37824561
type
paper
label
pmid:37824561
[1] object · 3 fields
id
source:pmid:37824561
type
manuscript
label
PMID 37824561 full text
[2] object · 3 fields
id
data:geo:None
type
dataset
label
GEO None
agent
agent:corpus-assay-engine
[1] object · 4 fields
id
activity-read-37824561
type
extraction
used array · 1 item
[0]
source:pmid:37824561
agent
agent:minimax-reader
[2] object · 4 fields
id
activity-resolve-None
type
accession_resolution
used array · 1 item
[0]
data:geo:None
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
gaps array · 7 items
[0]
execution.not_run
[1]
method
[2]
operations
[3]
review.human_critique
[4]
review.independent_reader
[5]
review.machine_critique
[6]
step:obtain_source_data blocked on data:accession_absent
Complete file
{"sci_version": "1.0", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:37824561", "kind": "science-record", "revision": 1, "content_hash": "sha256:ce6822a93fd138ba86baecad51d89da6047e1bda9c0c3fc708c577ad0ebe560b", "created_at": "2026-11-01T23:51:27Z", "updated_at": "2026-11-01T23:51:27Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "On the utilization of the induced pluripotent stem cell (iPSC) model to study substance use disorders: A scoping review protocol.", "doi": "10.1371/journal.pone.0292238", "pmid": "37824561", "authors": ["Wasiri Niemis", "Shenita R Peterson", "Chrisabella Javier", "Amy Nguyen", "Sanchi Subiah", "Rohan H C Palmer"], "journal": "PloS one", "year": 2023, "abstract": "INTRODUCTION: Induced pluripotent stem cells (iPSCs) are cells derived from somatic cells via reprogramming techniques. The iPSC approach has been increasingly used in neuropsychiatric research in the last decade. Though substance use disorders (SUDs) are a commonly occurring psychiatric disorder, the application of iPSC model in addiction research has been limited. No comprehensive review has been reported. We conducted a scoping review to collate existing evidence on the iPSC technologies applied to SUD research. We aim to identify current knowledge gaps and limitations in order to advance the use of iPSCs in the SUD field.\nMETHODS AND ANALYSIS: We employed a scoping review using the methodological framework first created by Arksey and O'Malley and further updated by Levac et al. and the Joanna Briggs Institute (JBI). We adopted the Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for Protocols (PRISMA-P) to report items for the protocol. We searched evidence from four electronic databases: PubMed®, Embase®, Web of Science™, and Scopus®. Primary research, systematic reviews, and meta-analyses were included and limited to studies published in English, at the time from 2007 to March 2022. This is an \"ongoing\" scoping review. Searched studies will be independently screened, selected, and extracted by two reviewers. Disagreement will be solved by the third reviewer and discussion. Extracted data will be analyzed in descriptive and quantitative approaches, then summarized and presented in appropriate formats. Results will be reported following the Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR) guideline and disseminated through a peer-reviewed publication and conference presentations.\nCONCLUSION: To our best knowledge, this is the first comprehensive scoping review of iPSC methods specifically applied to a broad range of addictive drugs/substances that lead to SUDs or misuse behavior.\nREGISTRATION: This protocol is registered on Zenodo repository (https://zenodo.org/) with doi:10.5281/zenodo.7915252.", "claims": [], "gaps": []}, "experiment": {"state": "partial", "objective": "", "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:37824561"], "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": "blocked", "blocked_on": "data:accession_absent", "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": [], "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": [], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": ["step:obtain_source_data blocked on data:accession_absent"]}, "data": {"state": "partial", "assets": [{"id": "source:pmid:37824561", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.1371/journal.pone.0292238", "sha256": "sha256:3c41628fe403a40c60edfc107900761189c91c60bd448465a7b5f632a42630de", "bytes": 53940, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "10.1371/journal.pone.0292238", "version": null, "note": "Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.", "structure": {"pmcid": "PMC10569547", "source": "europe_pmc_fulltext", "coverage": "whole_body_without_references", "text_hash_scope": "rendered_section_body"}}], "gaps": []}, "analysis": {"state": "absent", "methods": [], "targets": [], "gaps": ["method", "operations"]}, "capability": {"state": "complete", "requirements": [{"capability_id": "capability:computational_analysis", "label": "Computational analysis platform", "assay_families": ["meta_analysis", "machine_learning", "survival_analysis", "statistical_regression", "pca", "molecular_docking", "network_analysis", "differential_expression", "gwas"], "availability_state": "owned", "tier_unlocked": "R1", "candidate": "Automated Assays Laravel application and simulated adapters"}], "gaps": []}, "readiness": {"state": "blocked", "tier": "R4", "blocking_axis": "data", "blocked_on": "data:accession_absent", "axes": {"method": {"tier": "R4", "expressible": false, "required_operations": [], "missing_operations": [], "basis": "The reader quoted the method the paper names (not named), but the corpus's method extractor could not map it onto a DSL operation, so the method is published but not expressible."}, "capability": {"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": {"tier": "R4", "reachable": false, "accessions": [], "resolved_accessions": [], "statements": [], "basis": "The paper names no accession to its source data, so the data has to come from the authors."}}, "can_run": {"dsl_operations": [], "assets": ["source:pmid:37824561"], "steps": ["run_analysis"]}, "must_build": {"dsl_operations": [], "converters": [], "readers": [], "capabilities": [], "data_gaps": ["data:geo:None"]}, "gaps": ["data:accession_absent"]}, "review": {"state": "partial", "machine_critique": {"kind": "extraction_review", "reader": {"model": "MiniMax-M3.1-Flash", "provider": "minimax", "provider_family": "minimax", "read_at": "2026-11-01T23:22:49Z", "independence": "single_reader"}, "evidence_check": {"method": null, "availability": null}, "calls": 5, "usage": {"prompt_tokens": 13697, "completion_tokens": 324, "cached_tokens": 13696}}, "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:37824561", "type": "paper", "label": "pmid:37824561"}, {"id": "source:pmid:37824561", "type": "manuscript", "label": "PMID 37824561 full text"}, {"id": "data:geo:None", "type": "dataset", "label": "GEO None"}], "activities": [{"id": "activity-reading-sci-2026-11-01", "type": "classification", "used": [{"id": "pmid:37824561", "type": "paper", "label": "pmid:37824561"}, {"id": "source:pmid:37824561", "type": "manuscript", "label": "PMID 37824561 full text"}, {"id": "data:geo:None", "type": "dataset", "label": "GEO None"}], "agent": "agent:corpus-assay-engine"}, {"id": "activity-read-37824561", "type": "extraction", "used": ["source:pmid:37824561"], "agent": "agent:minimax-reader"}, {"id": "activity-resolve-None", "type": "accession_resolution", "used": ["data:geo:None"], "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": null, "parent_hash": null, "fork_of": null, "generation": 0}, "gaps": ["execution.not_run", "method", "operations", "review.human_critique", "review.independent_reader", "review.machine_critique", "step:obtain_source_data blocked on data:accession_absent"]}