Evidence map›Paper›PMID 36875559›Full record

ArticleFrontiers in plant science2023

Biological insights from multi-omics analysis strategies: Complex pleotropic effects associated with autophagy.

Geng Ding, Yosia Mugume, Maria Emilia Dueñas, Young Jin Lee, Meiling Liu, Daniel S Nettleton, Xuefeng Zhao, Ling Li, Diane C Bassham, Basil J Nikolau

Open access · goldAbstract read
In one paragraph

Article in Frontiers in plant science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 42% of its field
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

2 citing papers in PubMed, 1 citations in OpenAlex.

  1. Review
  2. Article
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

10 authors at 2 institutions in 1 country.

Geng DingRoy J. Carver Department of Biochemistry, Biophysics and Molecular Biology, Iowa State University, Ames, IA, United States.
Yosia MugumeDepartment of Genetics, Development and Cell Biology, Iowa State University, Ames, IA, United States.
Maria Emilia DueñasDepartment of Chemistry, Iowa State University, Ames, IA, United States.
Young Jin LeeDepartment of Chemistry, Iowa State University, Ames, IA, United States.
Meiling LiuDepartment of Statistics, Iowa State University, Ames, IA, United States.
Daniel S NettletonDepartment of Statistics, Iowa State University, Ames, IA, United States.
Xuefeng ZhaoResearch Information Technology, College of Liberal Arts & Sciences, Iowa State University, Ames, IA, United States.
Ling LiDepartment of Biological Sciences, Mississippi State University, Mississippi State, MS, United States.
Diane C BasshamDepartment of Genetics, Development and Cell Biology, Iowa State University, Ames, IA, United States.
Basil J NikolauRoy J. Carver Department of Biochemistry, Biophysics and Molecular Biology, Iowa State University, Ames, IA, United States.
Iowa State University · USMississippi State University · US

Funding

Mentoring CoreP20GM103418 · NIGMS · UNIVERSITY OF KANSAS MEDICAL CENTER · PI Douglas E Wright · 2012 to 2026
$63.0M
NIGMS NIH HHS P20 GM103418
6 · The paper itself

Abstract

Research strategies that combine molecular data from multiple levels of genome expression (i.e., multi-omics data), often referred to as a systems biology strategy, has been advocated as a route to discovering gene functions. In this study we conducted an evaluation of this strategy by combining lipidomics, metabolite mass-spectral imaging and transcriptomics data from leaves and roots in response to mutations in two

Indexed as

arabidopsisautophagylipidomicsmulti-omicsRNA-seq

Identifiers

PMID36875559
PMCPMC9978356
OpenAlexW4321089629

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.