Evidence map›Paper›PMID 30588542›Full record

ArticlePlant reproduction2019

Endosperm-specific transcriptome analysis by applying the INTACT system.

Gerardo Del Toro-De León, Claudia Köhler

Abstract read
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In one paragraph

Article in Plant reproduction, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

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3 · Its place in the literature

Who cites it

21 citing papers in PubMed.

  1. Review
  2. Article
  3. Dissecting the cellular architecture and genetic circuitry of the soybean seed.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. DNA methylation dynamics during germline development.Journal of integrative plant biology · 2022
    Review
  9. Article
  10. Article
  11. Review
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. 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

2 authors.

Gerardo Del Toro-De LeónDepartment of Plant Biology, Uppsala BioCenter, Swedish University of Agricultural Sciences and Linnean Center for Plant Biology, Uppsala, Sweden.ORCID 0000-0003-2079-1746
Claudia KöhlerDepartment of Plant Biology, Uppsala BioCenter, Swedish University of Agricultural Sciences and Linnean Center for Plant Biology, Uppsala, Sweden. claudia.kohler@slu.se.ORCID 0000-0002-2619-4857

Funding

European Molecular Biology Organization EMBO ALTF 962-2017
6 · The paper itself

Abstract

key messageWe report the adaptation of the INTACT method for RNA-sequencing in the endosperm and demonstrate its feasibility for allele-specific expression analysis. Tissue-specific transcriptome analyses provide important insights into the developmental programs of defined cell types. The isolation of nuclei tagged in specific cell types (INTACT) is a versatile method that allows to isolate highly pure nuclei from defined tissue types that can be used for several downstream applications. Here, we describe the adaptation of INTACT from endosperm nuclei for high-throughput RNA-sequencing. By analyzing the ratio of parental reads and tissue-specific gene expression in the endosperm, we could assess the contamination level of our samples. Based on this analysis, we estimate that in most of the samples the contamination level is lower than in previously published datasets. We further show that the nuclear transcriptome and total transcriptome of the endosperm are well correlated. Together, our data show that INTACT of the endosperm is a reliable methodology for endosperm-specific transcriptome analysis that overcomes the limitation of time-consuming manual endosperm dissection that is connected with high levels of maternal tissue contamination. INTACT does not rely on expensive equipment and can be set up in every standard molecular biology laboratory, making it the method of choice for future molecular studies of the endosperm.

Indexed as

EndospermGene Expression ProfilingArabidopsisCell FractionationCell NucleusFeasibility StudiesRNA, PlantSequence Analysis, RNARNA, PlantArabidopsis thalianaEndospermImprintingINTACTParent-of-originTranscriptome

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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.