Evidence map›Paper›PMID 36497177›Full record

ArticleCells2022

Systematic Methods for Isolating High Purity Nuclei from Ten Important Plants for Omics Interrogation.

Ming-Chao Yang, Zi-Chen Wu, Liang-Liang Huang, Farhat Abbas, Hui-Cong Wang

Abstract read
In one paragraph

Article in Cells, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
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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

5 authors.

Ming-Chao YangGuangdong Laboratory for Lingnan Modern Agriculture, Guangdong Litchi Engineering Research Center, Key Laboratory of Biology and Genetic Improvement of Horticultural Crops-South China, College of Horticulture, South China Agricultural University, Guangzhou 510642, China.ORCID 0000-0002-0022-398X
Zi-Chen WuBecton Dickinson Medical Devices (Shanghai) Co., Ltd., Guangzhou 510180, China.
Liang-Liang HuangGuangdong Laboratory for Lingnan Modern Agriculture, Guangdong Litchi Engineering Research Center, Key Laboratory of Biology and Genetic Improvement of Horticultural Crops-South China, College of Horticulture, South China Agricultural University, Guangzhou 510642, China.ORCID 0000-0002-8491-6141
Farhat AbbasGuangdong Laboratory for Lingnan Modern Agriculture, Guangdong Litchi Engineering Research Center, Key Laboratory of Biology and Genetic Improvement of Horticultural Crops-South China, College of Horticulture, South China Agricultural University, Guangzhou 510642, China.ORCID 0000-0003-3704-5213
Hui-Cong WangGuangdong Laboratory for Lingnan Modern Agriculture, Guangdong Litchi Engineering Research Center, Key Laboratory of Biology and Genetic Improvement of Horticultural Crops-South China, College of Horticulture, South China Agricultural University, Guangzhou 510642, China.ORCID 0000-0003-3851-4907

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent advances in developmental biology have been made possible by using multi-omic studies at single cell resolution. However, progress in plants has been slowed, owing to the tremendous difficulty in protoplast isolation from most plant tissues and/or oversize protoplasts during flow cytometry purification. Surprisingly, rapid innovations in nucleus research have shed light on plant studies in single cell resolution, which necessitates high quality and efficient nucleus isolation. Herein, we present efficient nuclei isolation protocols from the leaves of ten important plants including

Indexed as

ArabidopsisCell NucleusPlantsProtoplastsSequence Analysis, RNAcell division cyclingnucleus isolationplantssingle nucleus RNA sequencing

Identifiers

PMID36497177
PMCPMC9740283

What OpenQuestion holds

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Registered trials

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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.