Evidence map›Paper›PMID 39375575›Full record

ArticleNature methods2024

scNanoSeq-CUT&Tag: a single-cell long-read CUT&Tag sequencing method for efficient chromatin modification profiling within individual cells.

Qingqing Li, Yuqing Guo, Zixin Wu, Xueqiang Xu, Zhenhuan Jiang, Shuyue Qi, Zhenyu Liu, Lu Wen, Fuchou Tang

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Article in Nature methods, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

9 authors.

Qingqing Li *School of Life Sciences, Biomedical Pioneering Innovation Center, Peking University, Beijing, China.
Yuqing Guo *School of Life Sciences, Biomedical Pioneering Innovation Center, Peking University, Beijing, China.
Zixin Wu *School of Life Sciences, Biomedical Pioneering Innovation Center, Peking University, Beijing, China.ORCID http://orcid.org/0009-0007-7792-4921
Xueqiang XuSchool of Life Sciences, Biomedical Pioneering Innovation Center, Peking University, Beijing, China.
Zhenhuan JiangSchool of Life Sciences, Biomedical Pioneering Innovation Center, Peking University, Beijing, China.ORCID http://orcid.org/0000-0002-3205-5431
Shuyue QiSchool of Life Sciences, Biomedical Pioneering Innovation Center, Peking University, Beijing, China.ORCID http://orcid.org/0000-0002-5046-3746
Zhenyu LiuSchool of Life Sciences, Biomedical Pioneering Innovation Center, Peking University, Beijing, China.ORCID http://orcid.org/0000-0001-6144-8018
Lu WenSchool of Life Sciences, Biomedical Pioneering Innovation Center, Peking University, Beijing, China.ORCID http://orcid.org/0000-0002-1773-1876
Fuchou TangSchool of Life Sciences, Biomedical Pioneering Innovation Center, Peking University, Beijing, China. tangfuchou@pku.edu.cn.ORCID http://orcid.org/0000-0002-8625-7717

Funding

National Natural Science Foundation of China (National Science Foundation of China) 32288102
6 · The paper itself

Abstract

Chromatin modifications are fundamental epigenetic marks that determine genome functions, but it remains challenging to profile those of repetitive elements and complex genomic regions. Here, we develop scNanoSeq-CUT&Tag, a streamlined method, by adapting modified cleavage under targets and tagmentation (CUT&Tag) to the nanopore sequencing platform for genome-wide chromatin modification profiling within individual cells. We show that scNanoSeq-CUT&Tag can accurately profile histone marks and transcription factor occupancy patterns at single-cell resolution as well as distinguish different cell types. scNanoSeq-CUT&Tag efficiently maps the allele-specific chromatin modifications and allows analysis of their neighboring region co-occupancy patterns within individual cells. Moreover, scNanoSeq-CUT&Tag can accurately detect chromatin modifications for individual copies of repetitive elements in both human and mouse genomes. Overall, we prove that scNanoSeq-CUT&Tag is a valuable single-cell tool for efficiently profiling histone marks and transcription factor occupancies, especially for previously poorly studied complex genomic regions and blacklist genomic regions.

Indexed as

ChromatinSingle-Cell AnalysisAnimalsHistone CodeHistonesHumansMiceNanopore SequencingTranscription FactorsChromatinHistonesTranscription Factors

Identifiers

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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.