Evidence map›Paper›PMID 38457127›Full record

ArticleGenetics2024

The Arabidopsis Information Resource in 2024.

Leonore Reiser, Erica Bakker, Sabarinath Subramaniam, Xingguo Chen, Swapnil Sawant, Kartik Khosa, Trilok Prithvi, Tanya Z Berardini

Abstract read
In one paragraph

Article in Genetics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 101 papers.

0numbers the graph read from it
0cells of the map it votes in
101citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

101 citing papers in PubMed.

  1. Review
  2. Genome-Wide Identification and Bioinformatics Analysis of theInternational journal of molecular sciences · 2026
    Article
  3. Biology · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. A receptor kinase complex refines cambium activity inProceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  9. Article
  10. Article
  11. Genome-Wide Identification ofPlants (Basel, Switzerland) · 2026
    Article
  12. Article
  13. Article
  14. Proteomic andFood chemistry. Molecular sciences · 2026
    Article
  15. Article
  16. Article
  17. Functional Analysis ofPlants (Basel, Switzerland) · 2026
    Article
  18. Genome-Wide Identification of thePlants (Basel, Switzerland) · 2026
    Article
  19. Article
  20. Article

41 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Leonore ReiserPhoenix Bioinformatics, Newark, CA 94560, USA.ORCID 0000-0003-0073-0858
Erica BakkerPhoenix Bioinformatics, Newark, CA 94560, USA.
Sabarinath SubramaniamPhoenix Bioinformatics, Newark, CA 94560, USA.
Xingguo ChenPhoenix Bioinformatics, Newark, CA 94560, USA.
Swapnil SawantPhoenix Bioinformatics, Newark, CA 94560, USA.
Kartik KhosaPhoenix Bioinformatics, Newark, CA 94560, USA.
Trilok PrithviPhoenix Bioinformatics, Newark, CA 94560, USA.
Tanya Z BerardiniPhoenix Bioinformatics, Newark, CA 94560, USA.

Funding

Gene Ontology Consortium and KnowledgebaseU24HG012212 · NHGRI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI CHRISTOPHER J MUNGALL, PAUL Warren STERNBERG · 2022 to 2026
$11.6M
NHGRI NIH HHS U24 HG012212TAIR
6 · The paper itself

Abstract

Since 1999, The Arabidopsis Information Resource (www.arabidopsis.org) has been curating data about the Arabidopsis thaliana genome. Its primary focus is integrating experimental gene function information from the peer-reviewed literature and codifying it as controlled vocabulary annotations. Our goal is to produce a "gold standard" functional annotation set that reflects the current state of knowledge about the Arabidopsis genome. At the same time, the resource serves as a nexus for community-based collaborations aimed at improving data quality, access, and reuse. For the past decade, our work has been made possible by subscriptions from our global user base. This update covers our ongoing biocuration work, some of our modernization efforts that contribute to the first major infrastructure overhaul since 2011, the introduction of JBrowse2, and the resource's role in community activities such as organizing the structural reannotation of the genome. For gene function assessment, we used gene ontology annotations as a metric to evaluate: (1) what is currently known about Arabidopsis gene function and (2) the set of "unknown" genes. Currently, 74% of the proteome has been annotated to at least one gene ontology term. Of those loci, half have experimental support for at least one of the following aspects: molecular function, biological process, or cellular component. Our work sheds light on the genes for which we have not yet identified any published experimental data and have no functional annotation. Drawing attention to these unknown genes highlights knowledge gaps and potential sources of novel discoveries.

Indexed as

ArabidopsisDatabases, GeneticMolecular Sequence AnnotationArabidopsis ProteinsGene OntologyGenome, PlantArabidopsis Proteinsbiocurationcommunity resourcemodel organism databaseplant genomics

Identifiers

PMID38457127
PMCPMC11075553

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.