Evidence map›Paper›PMID 38338756›Full record

ReviewInternational journal of molecular sciences2024

Application of Single-Cell Assay for Transposase-Accessible Chromatin with High Throughput Sequencing in Plant Science: Advances, Technical Challenges, and Prospects.

Chao Lu, Yunxiao Wei, Mubashir Abbas, Hasi Agula, Edwin Wang, Zhigang Meng, Rui Zhang

Open access · goldAbstract readReview
In one paragraph

Review in International journal of molecular sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
3.0field-weighted citation impact, top 9% 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

8 citing papers in PubMed, 13 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Advances in Molecular Plant Sciences.International journal of molecular sciences · 2024
    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

7 authors at 3 institutions in 2 countries.

Chao LuBiotechnology Research Institute, Chinese Academy of Agricultural Sciences, Beijing 100081, China.
Yunxiao WeiBiotechnology Research Institute, Chinese Academy of Agricultural Sciences, Beijing 100081, China.ORCID 0000-0002-4852-7712
Mubashir AbbasBiotechnology Research Institute, Chinese Academy of Agricultural Sciences, Beijing 100081, China.
Hasi AgulaKey Laboratory of Herbage & Endemic Crop Biology, Ministry of Education, School of Life Sciences, Inner Mongolia University, Hohhot 010070, China.
Edwin WangCumming School of Medicine, University of Calgary, Calgary, AB T2N 4N1, Canada.
Zhigang MengBiotechnology Research Institute, Chinese Academy of Agricultural Sciences, Beijing 100081, China.ORCID 0000-0001-8959-5685
Rui ZhangBiotechnology Research Institute, Chinese Academy of Agricultural Sciences, Beijing 100081, China.ORCID 0000-0003-3198-018X
Chinese Academy of Agricultural Sciences · CNInner Mongolia University · CNUniversity of Calgary · CA

Funding

major national R&D projects 2023ZD04040-01National Natural Science Foundation 2022YFD1200304-3 and 52161145104
6 · The paper itself

Abstract

The Single-cell Assay for Transposase-Accessible Chromatin with high throughput sequencing (scATAC-seq) has gained increasing popularity in recent years, allowing for chromatin accessibility to be deciphered and gene regulatory networks (GRNs) to be inferred at single-cell resolution. This cutting-edge technology now enables the genome-wide profiling of chromatin accessibility at the cellular level and the capturing of cell-type-specific cis-regulatory elements (CREs) that are masked by cellular heterogeneity in bulk assays. Additionally, it can also facilitate the identification of rare and new cell types based on differences in chromatin accessibility and the charting of cellular developmental trajectories within lineage-related cell clusters. Due to technical challenges and limitations, the data generated from scATAC-seq exhibit unique features, often characterized by high sparsity and noise, even within the same cell type. To address these challenges, various bioinformatic tools have been developed. Furthermore, the application of scATAC-seq in plant science is still in its infancy, with most research focusing on root tissues and model plant species. In this review, we provide an overview of recent progress in scATAC-seq and its application across various fields. We first conduct scATAC-seq in plant science. Next, we highlight the current challenges of scATAC-seq in plant science and major strategies for cell type annotation. Finally, we outline several future directions to exploit scATAC-seq technologies to address critical challenges in plant science, ranging from plant ENCODE(The Encyclopedia of DNA Elements) project construction to GRN inference, to deepen our understanding of the roles of CREs in plant biology.

Indexed as

ChromatinTransposasesDNAGene Regulatory NetworksHigh-Throughput Nucleotide SequencingSingle-Cell AnalysisChromatinDNATransposaseschromatin accessibilitycis-regulatory elementsepigenomicsplant sciencescATAC-seq

Identifiers

PMID38338756
PMCPMC10855595
OpenAlexW4391222403

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.