Evidence map›Paper›PMID 37563440›Full record

ArticleNature structural & molecular biology2023

Droplet-based single-cell joint profiling of histone modifications and transcriptomes.

Yang Xie, Chenxu Zhu, Zhaoning Wang, Melodi Tastemel, Lei Chang, Yang Eric Li, Bing Ren

Abstract read
In one paragraph

Article in Nature structural & molecular biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers.

0numbers the graph read from it
0cells of the map it votes in
55citing 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

55 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Single-cell insights into plant growth, adaptation, and evolution.Journal of integrative plant biology · 2026
    Review
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  6. Article
  7. Article
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  9. Review
  10. A Community Standard Multispecies Cell Atlas of the Basal Ganglia.bioRxiv : the preprint server for biology · 2026
    Article
  11. Article
  12. Enhancer Dynamics for Gene Regulation in the Cardiovascular System.Arteriosclerosis, thrombosis, and vascular biology · 2026
    Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. 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.

Yang Xie *Department of Cellular and Molecular Medicine, University of California, San Diego, San Diego, CA, USA.
Chenxu Zhu *Ludwig Institute for Cancer Research, La Jolla, CA, USA.ORCID http://orcid.org/0000-0003-4216-6562
Zhaoning WangDepartment of Cellular and Molecular Medicine, University of California, San Diego, San Diego, CA, USA.
Melodi TastemelDepartment of Cellular and Molecular Medicine, University of California, San Diego, San Diego, CA, USA.
Lei ChangDepartment of Cellular and Molecular Medicine, University of California, San Diego, San Diego, CA, USA.
Yang Eric LiDepartment of Cellular and Molecular Medicine, University of California, San Diego, San Diego, CA, USA.ORCID http://orcid.org/0000-0001-6997-6018
Bing RenDepartment of Cellular and Molecular Medicine, University of California, San Diego, San Diego, CA, USA. biren@health.ucsd.edu.ORCID http://orcid.org/0000-0002-5435-1127

Funding

Center for Integrated Cellular Analysis - Valeria A. Sanchez EstradaRM1HG011014 · NHGRI · NEW YORK GENOME CENTER · PI LANDAU, DAN, SATIJA, RAHUL · 2020 to 2025
$22.1M
Ultra-high Throughout Single Cell Multi-omic Analysis of Histone Modifications and Transcriptome in Mouse and Human BrainsRF1MH128838 · NIMH · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI BEHRENS, M MARGARITA, REN, BING · 2021 to 2021
$3.2M
Broadly Accessible Technologies for Single-cell Joint Analysis of Transcriptome and EpigenomeR41MH128993 · NIMH · EPIGENOME TECHNOLOGIES, INC. · PI REN, BING · 2022 to 2023
$895k
Studying the Mammalian Regulatory Circuits by Developing Single-cell Multi-omics TechnologiesR00HG011483 · NHGRI · NEW YORK GENOME CENTER · PI ZHU, CHENXU · 2022 to 2024
$742k
NHGRI NIH HHS R00 HG011483NHGRI NIH HHS RM1 HG011014NIMH NIH HHS R41 MH128993NIMH NIH HHS RF1 MH128838
6 · The paper itself

Abstract

We previously reported Paired-Tag, a combinatorial indexing-based method that can simultaneously map histone modifications and gene expression at single-cell resolution at scale. However, the lengthy procedure of Paired-Tag has hindered its general adoption in the community. To address this bottleneck, we developed a droplet-based Paired-Tag protocol that is faster and more accessible than the previous method. Using cultured mammalian cells and primary brain tissues, we demonstrate its superior performance at identifying candidate cis-regulatory elements and associating their dynamic chromatin state to target gene expression in each constituent cell type in a complex tissue.

Indexed as

Histone CodeTranscriptomeAnimalsChromatinMammalsProtein Processing, Post-TranslationalRegulatory Sequences, Nucleic AcidSingle-Cell AnalysisChromatin

Identifiers

PMID37563440
PMCPMC10584685

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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.