Evidence map›Paper›PMID 34650278›Full record

ArticleNature protocols2021

Scalable dual-omics profiling with single-nucleus chromatin accessibility and mRNA expression sequencing 2 (SNARE-seq2).

Nongluk Plongthongkum, Dinh Diep, Song Chen, Blue B Lake, Kun Zhang

Open access · bronzeAbstract read
PubMed Publisher
In one paragraph

Article in Nature protocols, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 1 pooled it
2.5field-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

38 citing papers in PubMed, 1 synthesis or guideline pooled it, 47 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
  6. Review
  7. Review
  8. Dissecting Normal and Abnormal Human Kidney Development Using Multiomics.Journal of the American Society of Nephrology : JASN · 2026
    Review
  9. Enhancer Dynamics for Gene Regulation in the Cardiovascular System.Arteriosclerosis, thrombosis, and vascular biology · 2026
    Review
  10. Article
  11. Review
  12. Review
  13. Review
  14. Review
  15. Article
  16. A Multimodal Spatial and Epigenomic Atlas of Human Adult Lung Topography.bioRxiv : the preprint server for biology · 2025
    Article
  17. Article
  18. Single-Cell Analysis in the Mouse and Human Mammary Gland.Advances in experimental medicine and biology · 2025
    Review
  19. Review
  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

5 authors at 1 institution in 2 countries.

Nongluk PlongthongkumDepartment of Bioengineering, University of California, San Diego, La Jolla, CA, USA.
Dinh DiepDepartment of Bioengineering, University of California, San Diego, La Jolla, CA, USA.
Song ChenDepartment of Bioengineering, University of California, San Diego, La Jolla, CA, USA.
Blue B LakeDepartment of Bioengineering, University of California, San Diego, La Jolla, CA, USA.
Kun ZhangDepartment of Bioengineering, University of California, San Diego, La Jolla, CA, USA. kzhang@bioeng.ucsd.edu.ORCID http://orcid.org/0000-0002-7596-5224
University of California San Diego · US

Funding

T follicular helper (Tfh) CD4+ T cell, germinal center, and antibody response dysfunction in human recurrent tonsillitisU19AI142742 · NIAID · LA JOLLA INSTITUTE FOR IMMUNOLOGY · PI Shane P Crotty · 2019 to 2026
$32.8M
Single-cell sequencing and in situ mapping of RNA transcripts in human brainsU01MH098977 · NIMH · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ZHANG, KUN · 2012 to 2016
$9.8M
Toward a human adult brain cell atlas with single-cell technologiesU01MH114828 · NIMH · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI CHUN, JEROLD, REN, BING · 2018 to 2022
$8.7M
Organ Specific ProjectU54HL145608 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SOLDATOV, RUSLAN · 2018 to 2021
$5.6M
Improving cell fate conversion by tracking cells and RNA over time and spaceR01HL123755 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI IZPISUA BELMONTE, JUAN CARLOS, ZHANG, KUN · 2015 to 2018
$3.0M
Illumina NovaSeq 6000 Sequencing SystemS10OD026929 · OD · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI JEPSEN, KRISTEN LYNN · 2019 to 2019
$600k
NHLBI NIH HHS R01 HL123755NHLBI NIH HHS U54 HL145608NIAID NIH HHS U19 AI142742NIH HHS S10 OD026929NIMH NIH HHS U01 MH098977NIMH NIH HHS U01 MH114828
6 · The paper itself

Abstract

Comprehensive characterization of cellular heterogeneity and the underlying regulatory landscapes of tissues and organs requires a highly robust and scalable method to acquire matched RNA and chromatin accessibility profiles on the same cells. Here, we describe a single-nucleus chromatin accessibility and mRNA expression sequencing 2 (SNARE-seq2) assay, implemented with cellular combinatorial indexing. This method involves tagmentation within permeabilized and fixed single-nucleus isolates to capture accessible chromatin (AC) regions, followed by the capture and reverse transcription of RNA transcripts. Through combinatorial split pool ligations, cDNA and AC within each single nucleus become appended with a common cell barcode combination. The captured cDNA and AC are then co-amplified before splitting and enrichment into single-nucleus RNA and single-nucleus AC sequencing libraries. This protocol is compatible with both nuclei and whole cells and can be completed in 3.5 d. SNARE-seq2 permits robust generation of high-quality, joint single-cell RNA and AC sequencing libraries from hundreds of thousands of single cells per experiment.

Indexed as

ChromatinRNA, MessengerSingle-Cell AnalysisAnimalsCell NucleusGene Expression ProfilingGene LibraryHigh-Throughput Nucleotide SequencingHumansSequence Analysis, RNAChromatinRNA, Messenger

Identifiers

PMID34650278
OpenAlexW3207419498

What OpenQuestion holds

Textmetadata
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.