CDKN2A deletion remodels lipid metabolism to prime glioblastoma for ferroptosis is a dataset published in Cancer Cell (2023). On theSindex it has a DataRank of 3.5, placing it in the top 6.4% of the data-sharing corpus. It has been cited 180 times, with 100 citing works in its 1-hop citation network. Its calibrated FAIR score is 69/100.
Ranks in the top 6% for downstream scientific impact
Linked data & code
DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?
FAIR checklist signals are shown for context only and do not affect DataRank scoring.
Full FAIR picture · advisory
The headline score is computed from the scored criteria — the fact-shaped checks (a repository, an accession, a licence) that two independent models agree on. The advisory criteria below are real FAIR guidance but rest on judgment calls that models read differently, so they inform without moving the number.
“Lipidomics Data (Bulk patient, orthotopic xenograft, gliomasphere, isogenics) This paper Mendeley https://doi.org/10.17632/kjtdgk3f25.1”
The paper provides a DOI (10.17632/kjtdgk3f25.1) for the lipidomics dataset, which is a persistent identifier.
RDA-F1-01D — FAIR Data Maturity Model: 'Data is identified by a persistent identifier' (priorit · RDA-F1-02D — FAIR Data Maturity Model: 'Data is identified by a globally unique identifier' · FsF-F1-02D — F-UJI/FAIRsFAIR: 'Data is assigned a persistent identifier'
“Shotgun lipidomics data has been deposited at Mendeley”
The paper names Mendeley, a data repository, as the holder of the lipidomics data. [majority verdict 'yes' (3/5 passes agreed)]
RDA-F4-01M — FAIR Data Maturity Model: metadata is offered so it can be harvested and indexed ( · NIH DMS Policy Element 4 (NOT-OD-21-014) — name the repository where data will be archived · NSTC Desirable Characteristics of Data Repositories (2022) — 'Long-Term Sustainability', 'Reten
“Shotgun lipidomics data has been deposited at Mendeley and is publicly available as of the date of publication. Accession numbers are listed in the key resources table.”
The dataset identifier (DOI) appears in the body text of the paper, not in the reference list.
FORCE11 Joint Declaration of Data Citation Principles (2014) — data should be cited as a first- · RDA-F3-01M — metadata clearly and explicitly includes the identifier of the data it describes · FsF-F3-01M — F-UJI: 'Metadata includes the identifier of the data it describes'
Advisory · not in the published score
“Shotgun lipidomics data has been deposited at Mendeley and is publicly available as of the date of publication. Accession numbers are listed in the key resources table.”
The data-availability statement points to a repository record (Mendeley with a DOI). [majority verdict 'yes' (3/5 passes agreed)]
Colavizza, Hrynaszkiewicz, Staden, Whitaker & McGillivray (2020), 'The citation advantage of li · Springer Nature research data policy — Data Availability Statements: standard statement templat · RDA-F3-01M — metadata clearly and explicitly includes the identifier of the data it describes
“84 tumors from patients with GBM were obtained from surgical resections and profiled using lipidomic, transcriptomic, and whole-exome sequencing methods”
The dataset's content is described in running prose, not in an itemised inventory or dedicated section. [majority verdict 'partial' (3/5 passes agreed)]
RDA-F2-01M — 'Rich metadata is provided to allow discovery' (priority Essential) · FsF-F2-01M — F-UJI: 'Metadata includes descriptive core elements to support data findability' · FsF-R1-01MD — F-UJI: 'Metadata specifies the content of the data'
“Shotgun lipidomics data has been deposited at Mendeley and is publicly available as of the date of publication.”
The data availability statement declares the data publicly available with no stated precondition.
RDA-A1.1-01D — 'Data is accessible through a free access protocol' · FsF-A1-01M — F-UJI: 'Metadata contains access level and access conditions of the data' · NSTC Desirable Characteristics of Data Repositories (2022) — 'Free and Easy Access'
Advisory · not in the published score
“publicly available”
The paper uses the phrase 'publicly available' to label the access level of the data.
FsF-A1-01M — F-UJI: 'Metadata contains access level and access conditions of the data' · RDA-A1-01M — metadata contains information to enable the user to get access to the data · COAR Controlled Vocabularies — Access Rights v1.0 (open / embargoed / restricted / metadata-onl
“database of Genotypes and Phenotypes (dbGaP)”
The paper names dbGaP, a controlled-access repository with an institutional gatekeeper, for the genomic data. [majority verdict 'yes' (4/5 passes agreed)]
NIH Genomic Data Sharing Policy (NOT-OD-14-124) — controlled-access via a Data Access Committee · RDA-A1.2-01D — 'Data is accessible through an access protocol that supports authentication and · NIH DMS Policy Element 5 (NOT-OD-21-014) — Access, Distribution, or Reuse Considerations (conse
“as of the date of publication”
The paper states the data are available as of the publication date but does not mention how long they will persist.
NIH DMS Plan Element 4 (NOT-OD-21-014) — Data Preservation, Access, and Associated Timelines · NSTC Desirable Characteristics (2022), Organizational Infrastructure: 'Retention Policy' · RDA-A2-01M — 'Metadata is guaranteed to remain available after data is no longer available'
“Raw WES fastq”
FASTQ is an open, community-standard format for sequencing data, named in the key resources table. [majority verdict 'yes' (3/5 passes agreed)]
FsF-R1.3-02D — F-UJI: 'Data is available in a file format recommended by the target research co · RDA-R1.3-02D — data is expressed in a machine-understandable community standard · RDA-I1-01D — data uses a knowledge representation expressed in a standardised format
Advisory · not in the published score
“Gene Ontology”
The paper uses Gene Ontology, an OBO ontology, as a community standard for annotating lipid clusters. [majority verdict 'yes' (3/5 passes agreed)]
RDA-R1.3-01M — 'Metadata complies with a community standard' (priority Essential) · RDA-R1.3-01D — 'Data complies with a community standard' · RDA-I2-01M — '(Meta)data use vocabularies that follow FAIR principles'
“GRCh38”— not found in the paper; verdict downgraded
The paper provides the reference genome build GRCh38, an identifier for a resource not produced by the study. [downgraded to 'no' — no verifiable quote from the paper] [majority verdict 'no' (4/5 passes agreed)]
RDA-I3-01M — '(meta)data include references to other (meta)data' · RDA-I3-03M — 'metadata includes qualified references to other metadata' · FsF-I3-01M — F-UJI: 'Metadata includes links between the data and its related entities'
The paper states the article is under CC BY-NC-ND but does not attach a license to the data itself.
RDA-R1.1-01M — 'Metadata includes information about the licence under which the data can be reu · RDA-R1.1-02M — 'Metadata refers to a standard reuse licence' · RDA-R1.1-03M — 'Metadata refers to a machine-understandable reuse licence'
“as of the date of publication”
No version token is given; only a date (publication date) is provided as a time reference.
DataCite Metadata Schema 4.6 — the 'Version' property · RDA-R1.2-01M — provenance information (which version was used is provenance) · NSTC Desirable Characteristics of Data Repositories (2022) — 'Provenance', 'Retention Policy'
“This paper does not report original code.”
The paper explicitly states that no original code is reported, so no locator is provided.
NIH DMS Policy Element 2 (NOT-OD-21-014) — 'Related Tools, Software and/or Code' · FAIR4RS Principles v1.0 (Chue Hong et al., 2022; RDA/FORCE11/ReSA) — FAIR Principles for Resear · FORCE11 Software Citation Principles (Smith, Katz & Niemeyer, 2016, PeerJ CS 2:e86)
“R01NS121319”
The paper provides specific award numbers (e.g., R01NS121319) for the funding support. [majority verdict 'yes' (4/5 passes agreed)]
DataCite Metadata Schema 4.6 — 'FundingReference' property (funderName, funderIdentifier, award · Crossref Funder Registry — canonical funder identifiers for funding metadata · RDA-F2-01M — rich metadata provided to allow discovery (funding is part of the descriptive reco
Advisory · not in the published score
“Illumina HiSeq 3000”
The paper names specific instruments and software versions, such as Illumina HiSeq 3000, used to produce the data. [majority verdict 'yes' (4/5 passes agreed)]
RDA-R1.2-01M — 'Metadata includes provenance information according to community- specific standa · FsF-R1.2-01M — F-UJI: 'Metadata includes provenance information about data creation or generati · W3C PROV-O (W3C Recommendation, 2013) — the entity/activity/agent model of provenance
The paper does not mention a README, data dictionary, or codebook shipped with the data, nor does it provide a variable-definition table in the article. [majority verdict 'no' (4/5 passes agreed)]
RDA-R1-01M — '(Meta)data are richly described with a plurality of accurate and relevant attribu · FsF-R1-01MD — F-UJI: 'Metadata specifies the content of the data' · NIH DMS Policy Element 3 (NOT-OD-21-014) — Standards (documentation and metadata to accompany t
Calibrated FAIR score — a parallel quality metric, independent of the DataRank citation score. See the full evaluation →
Base Score Contribution
0.780
From this paper's citation signal
Citation Network Contribution
2.7
From 100 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 100 citers.
National Institutes of Health
Grant: P01HL146358
National Institutes of Health
Grant: P50CA211015
National Institutes of Health
Grant: R01CA227089
National Institutes of Health
Grant: R01NS121319
U.S. Department of Defense
Grant: W81XWH-20-1-0453
NCI NIH HHS
Grant: R01 CA279984
National Institutes of Health
Grant: 1P01HL146358-01
New approaches for understanding lipid movement in health and disease
National Institutes of Health
Grant: 5R01NS121319-04
CDKN2A couples lipid metabolism to ferroptosis in glioblastoma
National Institutes of Health
Grant: 5P50CA211015-02
UCLA SPORE in Brain Cancer
National Institutes of Health
Grant: 1R01CA227089-01A1
Mammalian models for integrated metabolic and molecular profiling of malignant glioma
FWCI
31.61
Citation Percentile
1.0%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Additional file 1 of Juglone induces ferroptosis in glioblastoma cells by inhibiting the Nrf2-GPX4 axis through the phosphorylation of p38MAPK
Additional file 1 of Juglone induces ferroptosis in glioblastoma cells by inhibiting the Nrf2-GPX4 axis through the phosphorylation of p38MAPK
Additional file 1 of Identification of fatty acids synthesis and metabolism-related gene signature and prediction of prognostic model in hepatocellular carcinoma
Additional file 1 of Identification of fatty acids synthesis and metabolism-related gene signature and prediction of prognostic model in hepatocellular carcinoma
Additional file 5 of Identification of fatty acids synthesis and metabolism-related gene signature and prediction of prognostic model in hepatocellular carcinoma
Additional file 5 of Identification of fatty acids synthesis and metabolism-related gene signature and prediction of prognostic model in hepatocellular carcinoma
Additional file 2 of Identification of fatty acids synthesis and metabolism-related gene signature and prediction of prognostic model in hepatocellular carcinoma
Additional file 3 of Identification of fatty acids synthesis and metabolism-related gene signature and prediction of prognostic model in hepatocellular carcinoma
Additional file 4 of Identification of fatty acids synthesis and metabolism-related gene signature and prediction of prognostic model in hepatocellular carcinoma
Additional file 3 of Identification of fatty acids synthesis and metabolism-related gene signature and prediction of prognostic model in hepatocellular carcinoma
Additional file 2 of Identification of fatty acids synthesis and metabolism-related gene signature and prediction of prognostic model in hepatocellular carcinoma
Additional file 4 of Identification of fatty acids synthesis and metabolism-related gene signature and prediction of prognostic model in hepatocellular carcinoma