Evidence map›Paper›PMID 31878887›Full record

ArticleBMC genomics2019

Exploring the changing landscape of cell-to-cell variation after CTCF knockdown via single cell RNA-seq.

Wei Wang, Gang Ren, Ni Hong, Wenfei Jin

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.9field-weighted citation impact, top 25% 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

9 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Review
  3. Contributions of transcriptional noise to leukaemia evolution: KAT2A as a case-study.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024
    Review
  4. Article
  5. Comprehensive mapping of alternative polyadenylation site usage and its dynamics at single-cell resolution.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  6. Review
  7. Article
  8. Article
  9. 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

4 authors at 2 institutions in 2 countries.

Wei WangDepartment of Biology, Southern University of Science and Technology, Shenzhen, 518055, Guangdong, China.
Gang RenSystems Biology Center, Division of Intramural Research, National Heart, Lung and Blood Institute, National Institutes of Health, Bethesda, MD, 20892, USA.
Ni HongDepartment of Biology, Southern University of Science and Technology, Shenzhen, 518055, Guangdong, China. hongn@mail.sustech.edu.cn.
Wenfei JinDepartment of Biology, Southern University of Science and Technology, Shenzhen, 518055, Guangdong, China. jinwf@sustech.edu.cn.ORCID http://orcid.org/0000-0002-0028-3739
Southern University of Science and Technology · CNNational Institutes of Health · US

Funding

National Key R&D Program of China 2018YFC1004500National Natural Science Foundation of China 31741077National Natural Science Foundation of China 81872330Shenzhen Innovation and Technology Commission JCYJ20170817111841427Shenzhen Innovation and Technology Commission KQTD20180411143432337
6 · The paper itself

Abstract

backgroundCCCTC-Binding Factor (CTCF), also known as 11-zinc finger protein, participates in many cellular processes, including insulator activity, transcriptional regulation and organization of chromatin architecture. Based on single cell flow cytometry and single cell RNA-FISH analyses, our previous study showed that deletion of CTCF binding site led to a significantly increase of cellular variation of its target gene. However, the effect of CTCF on genome-wide landscape of cell-to-cell variation remains unclear.

resultsWe knocked down CTCF in EL4 cells using shRNA, and conducted single cell RNA-seq on both wild type (WT) cells and CTCF-Knockdown (CTCF-KD) cells using Fluidigm C1 system. Principal component analysis of single cell RNA-seq data showed that WT and CTCF-KD cells concentrated in two different clusters on PC1, indicating that gene expression profiles of WT and CTCF-KD cells were systematically different. Interestingly, GO terms including regulation of transcription, DNA binding, zinc finger and transcription factor binding were significantly enriched in CTCF-KD-specific highly variable genes, implying tissue-specific genes such as transcription factors were highly sensitive to CTCF level. The dysregulation of transcription factors potentially explains why knockdown of CTCF leads to systematic change of gene expression. In contrast, housekeeping genes such as rRNA processing, DNA repair and tRNA processing were significantly enriched in WT-specific highly variable genes, potentially due to a higher cellular variation of cell activity in WT cells compared to CTCF-KD cells. We further found that cellular variation-increased genes were significantly enriched in down-regulated genes, indicating CTCF knockdown simultaneously reduced the expression levels and increased the expression noise of its regulated genes.

conclusionsTo our knowledge, this is the first attempt to explore genome-wide landscape of cellular variation after CTCF knockdown. Our study not only advances our understanding of CTCF function in maintaining gene expression and reducing expression noise, but also provides a framework for examining gene function.

Indexed as

Gene Knockdown TechniquesRNA-SeqSingle-Cell AnalysisAnimalsCCCTC-Binding FactorCell Line, TumorMiceCCCTC-Binding FactorCell-to-cell variationChange of cellular variationCTCFCTCF knockdownSingle cell RNA-seq

Identifiers

PMID31878887
PMCPMC6933653
OpenAlexW2997239046

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.