Evidence map›Paper›PMID 34648025›Full record

ArticleThe Plant cell2022

Quality control and evaluation of plant epigenomics data.

Robert J Schmitz, Alexandre P Marand, Xuan Zhang, Rebecca A Mosher, Franziska Turck, Xuemei Chen, Michael J Axtell, Xuehua Zhong, Siobhan M Brady, Molly Megraw and 1 more

Abstract read
In one paragraph

Article in The Plant cell, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. ATAC-seq in Emerging Model Organisms: Challenges and Strategies.Journal of experimental zoology. Part B, Molecular and developmental evolution · 2025
    Review
  5. Article
  6. RNA interference shapes stress responses inFrontiers in plant science · 2025
    Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. 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

11 authors.

Robert J SchmitzDepartment of Genetics, University of Georgia, Athens, Georgia 30602, USA.ORCID 0000-0001-7538-6663
Alexandre P MarandDepartment of Genetics, University of Georgia, Athens, Georgia 30602, USA.ORCID 0000-0001-9100-8320
Xuan ZhangDepartment of Genetics, University of Georgia, Athens, Georgia 30602, USA.ORCID 0000-0002-6635-371X
Rebecca A MosherSchool of Plant Sciences, University of Arizona, Tucson, Arizona 85721, USA.ORCID 0000-0003-2195-0825
Franziska TurckDepartment of Plant Developmental Biology, Max Planck Institute for Plant Breeding Research, Köln, Germany.ORCID 0000-0002-4982-5949
Xuemei ChenDepartment of Botany and Plant Sciences, University of California, Riverside, California 92521, USA.ORCID 0000-0002-5209-1157
Michael J AxtellDepartment of Biology and Huck Institutes of the Life Sciences, The Pennsylvania State University, University Park, Pennsylvania 16801, USA.ORCID 0000-0001-8951-7361
Xuehua ZhongWisconsin Institute for Discovery & Laboratory of Genetics, University of Wisconsin-Madison, Madison, Wisconsin 53715, USA.ORCID 0000-0002-2350-0046
Siobhan M BradyDepartment of Plant Biology and Genome Center, University of California Davis, Davis, California 95616, USA.ORCID 0000-0001-9424-8055
Molly MegrawDepartment of Botany and Plant Pathology, Center for Quantitative Life Sciences, Oregon State University, Corvallis, Oregon 97331 USA.ORCID 0000-0001-6793-6151
Blake C MeyersDonald Danforth Plant Science Center, St Louis, Missouri 63132, USA.ORCID 0000-0003-3436-6097

Funding

Uncovering the epigenetic codes for genome integrity, developmental and environmental interaction.R35GM124806 · NIGMS · WASHINGTON UNIVERSITY · PI XUEHUA ZHONG · 2017 to 2026
$4.2M
Investigating natural epigenetic variation and the origins and inheritance of spontaneous epimutationsR01GM134682 · NIGMS · UNIVERSITY OF GEORGIA · PI SCHMITZ, ROBERT J. · 2019 to 2020
$744k
NIGMS NIH HHS R01 GM134682NIGMS NIH HHS R35 GM124806
6 · The paper itself

Abstract

Epigenomics is the study of molecular signatures associated with discrete regions within genomes, many of which are important for a wide range of nuclear processes. The ability to profile the epigenomic landscape associated with genes, repetitive regions, transposons, transcription, differential expression, cis-regulatory elements, and 3D chromatin interactions has vastly improved our understanding of plant genomes. However, many epigenomic and single-cell genomic assays are challenging to perform in plants, leading to a wide range of data quality issues; thus, the data require rigorous evaluation prior to downstream analyses and interpretation. In this commentary, we provide considerations for the evaluation of plant epigenomics and single-cell genomics data quality with the aim of improving the quality and utility of studies using those data across diverse plant species.

Indexed as

EpigenomicsRegulatory Sequences, Nucleic AcidChromatinGenome, PlantPlantsQuality ControlChromatin

Identifiers

PMID34648025
PMCPMC8773985

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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.