Evidence map›Paper›PMID 37540365›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2023

Protoplast Isolation for Plant Single-Cell RNA-seq.

Shulin Ren, Ying Wang

Abstract read
PubMed Publisher
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
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.

Shulin RenCollege of Life Sciences, University of Chinese Academy of Sciences, Beijing, China.
Ying WangCollege of Life Sciences, University of Chinese Academy of Sciences, Beijing, China. yingwang@ucas.ac.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The growth and development of plants depends on diversified gene expression in different cell types. Compared to traditional bulk RNA sequencing, droplet-based single-cell RNA sequencing (scRNA-seq) allows for transcriptome profiling of individual cells within heterogeneous tissues. scRNA-seq provides a high-resolution atlas of cellular characterization and vastly improves our understandings of the interactions between individual cells and the microenvironment. However, the difficulty in protoplast isolation has limited the application of single-cell sequencing technology in plant research. Here we describe a high-efficiency protoplast isolation protocol for scRNA-seq.

Indexed as

ProtoplastsSingle-Cell Gene Expression AnalysisGene Expression ProfilingSequence Analysis, RNASingle-Cell AnalysisTranscriptomeProtoplast isolationSingle-cell RNA sequencingTranscriptome

Identifiers

PMID37540365

What OpenQuestion holds

Textmetadata
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.