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Topological data analysis reveals a core gene expression backbone that defines form and function across flowering plants

PLoS Biology(2023)10.1371/journal.pbio.3002397Source: DataRank Database

Topological data analysis reveals a core gene expression backbone that defines form and function across flowering plants is a research paper published in PLoS Biology (2023). On theSindex it has a DataRank of 0. It has been cited 12 times.

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Open Access12 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (17 grants)Impact (FWCI 1.12)OA: goldTopics (33)IDs (PubMed, PMC, OpenAlex)SDGs (2)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (25)

Joshua A. M. Kaste ORCID,Miles Roberts ORCID,Kenia Segura Abá ORCID,Carly Claucherty,Jamell Dacon ORCID

Live enrichment

PubMed:38051702 PMC:PMC10723737 OpenAlex:https://openalex.org/W4389331782

National Science Foundation

Grant: NSF 1828149

National Science Foundation

Grant: IOS-2310355

National Science Foundation

Grant: IOS-2310356

National Science Foundation

Grant: IOS-2310357

National Science Foundation

Grant: IOS-2039489

National Science Foundation

Grant: DBI-2213983

Foundation for the National Institutes of Health

Grant: T32-GM110523

USDA National Institute of Food and Agriculture

Grant: 2022-67013-36118

NIGMS NIH HHS

Grant: T32 GM110523

National Science Foundation

Grant: 2310357

Collaborative Research: RESEARCH-PGR: Predicting Phenotype from Molecular Profiles with Deep Learning: Topological Data Analysis to Address a Grand Challenge in the Plant Sciences

National Science Foundation

Grant: 2039489

Context-dependent activity of an essential transcription factor

National Science Foundation

Grant: 1828149

NRT-HDR: Intersecting computational and data science to address grand challenges in plant biology

National Science Foundation

Grant: 2310355

Collaborative Research: RESEARCH-PGR: Predicting Phenotype from Molecular Profiles with Deep Learning: Topological Data Analysis to Address a Grand Challenge in the Plant Sciences

National Science Foundation

Grant: 2310356

Collaborative Research: RESEARCH-PGR: Predicting Phenotype from Molecular Profiles with Deep Learning: Topological Data Analysis to Address a Grand Challenge in the Plant Sciences

National Institutes of Health

Grant: 1T32GM110523-01

Plant Biotechnology for Health and Sustainability

National Science Foundation

Grant: 2213983

BII: Life without water: protecting macromolecules, cells, and organisms during desiccation and rehydration across kingdoms of life

Michigan State University AgBioResearch

FWCI

1.12

Citation Percentile

0.8%

Citation Trend

2024

2025

2026

goldLicense: cc-by

journalhttps://doi.org/10.1371/journal.pbio.3002397

publisherhttps://doi.org/10.1371/journal.pbio.3002397

publisherhttps://dx.plos.org/10.1371/journal.pbio.3002397

repositoryhttps://pubmed.ncbi.nlm.nih.gov/38051702

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/10723737

Fields of Study

Natural product bioactivities and synthesisTopological and Geometric Data AnalysisClusterin in disease pathology0206 medical engineering02 engineering and technology

MeSH Terms

PlantsStress, PhysiologicalGene ExpressionGene Expression Regulation, PlantPlant LeavesMagnoliopsida

Keywords

BiologyFunction (biology)Housekeeping geneGeneGene expressionAbiotic stressAbiotic componentEvolutionary biologyComputational biologyAdaptation (eye)Gene expression profilingGeneticsEcologyNeurosciencePlant LeavesMagnoliopsidaQH301-705.5Stress, PhysiologicalGene Expression Regulation, PlantBiology (General)PlantsResearch Article

Sustainable Development Goals

SDG 15: 15. Life on landSDG 0: Life in Land