Evidence map›Paper›PMID 33674594›Full record

ArticleNature communications2021

Identifying transposable element expression dynamics and heterogeneity during development at the single-cell level with a processing pipeline scTE.

Jiangping He, Isaac A Babarinde, Li Sun, Shuyang Xu, Ruhai Chen, Junjie Shi, Yuanjie Wei, Yuhao Li, Gang Ma, Qiang Zhuang and 2 more

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 121 papers.

0numbers the graph read from it
0cells of the map it votes in
121citing papers in PubMed
30.5field-weighted citation impact, top 1% 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

121 citing papers in PubMed, 199 citations in OpenAlex.

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61 more citing papers are in PubMed but not listed here.

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

12 authors at 3 institutions in 1 country.

Jiangping HeCenter for Cell Lineage and Atlas (CCLA), Bioland Laboratory (Guangzhou Regenerative Medicine and Health Guangdong Laboratory), Guangzhou, China.ORCID 0000-0002-1425-3530
Isaac A BabarindeDepartment of Biology, Southern University of Science and Technology, Shenzhen, China.
Li SunDepartment of Biology, Southern University of Science and Technology, Shenzhen, China.
Shuyang XuKey Laboratory of Regenerative Biology of the Chinese Academy of Sciences and Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China.
Ruhai ChenKey Laboratory of Regenerative Biology of the Chinese Academy of Sciences and Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China.
Junjie ShiKey Laboratory of Regenerative Biology of the Chinese Academy of Sciences and Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China.
Yuanjie WeiCenter for Cell Lineage and Atlas (CCLA), Bioland Laboratory (Guangzhou Regenerative Medicine and Health Guangdong Laboratory), Guangzhou, China.
Yuhao LiDepartment of Biology, Southern University of Science and Technology, Shenzhen, China.
Gang MaDepartment of Biology, Southern University of Science and Technology, Shenzhen, China.
Qiang ZhuangDepartment of Biology, Southern University of Science and Technology, Shenzhen, China.
Andrew P HutchinsDepartment of Biology, Southern University of Science and Technology, Shenzhen, China. andrewh@sustech.edu.cn.ORCID 0000-0001-7784-2255
Jiekai ChenCenter for Cell Lineage and Atlas (CCLA), Bioland Laboratory (Guangzhou Regenerative Medicine and Health Guangdong Laboratory), Guangzhou, China. chen_jiekai@gibh.ac.cn.ORCID 0000-0001-5168-7074
Southern University of Science and Technology · CNChinese Academy of Sciences · CNGuangzhou Regenerative Medicine and Health Guangdong Laboratory · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Transposable elements (TEs) make up a majority of a typical eukaryote's genome, and contribute to cell heterogeneity in unclear ways. Single-cell sequencing technologies are powerful tools to explore cells, however analysis is typically gene-centric and TE expression has not been addressed. Here, we develop a single-cell TE processing pipeline, scTE, and report the expression of TEs in single cells in a range of biological contexts. Specific TE types are expressed in subpopulations of embryonic stem cells and are dynamically regulated during pluripotency reprogramming, differentiation, and embryogenesis. Unexpectedly, TEs are expressed in somatic cells, including human disease-specific TEs that are undetectable in bulk analyses. Finally, we apply scTE to single-cell ATAC-seq data, and demonstrate that scTE can discriminate cell type using chromatin accessibly of TEs alone. Overall, our results classify the dynamic patterns of TEs in single cells and their contributions to cell heterogeneity.

Indexed as

Genetic HeterogeneityAnimalsChromatinDNA Transposable ElementsEmbryonic Stem CellsGastrulationGene Expression Regulation, DevelopmentalHumansMiceOrganogenesisSingle-Cell AnalysisChromatinDNA Transposable Elements

Identifiers

PMID33674594
PMCPMC7935913
OpenAlexW3135031452

What OpenQuestion holds

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LicenceCC BY
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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.