Evidence map›Paper›PMID 34226710›Full record

ArticleNature biotechnology2021

High-content single-cell combinatorial indexing.

Ryan M Mulqueen, Dmitry Pokholok, Brendan L O'Connell, Casey A Thornton, Fan Zhang, Brian J O'Roak, Jason Link, Galip Gürkan Yardımcı, Rosalie C Sears, Frank J Steemers and 1 more

Open access · greenAbstract read
In one paragraph

Article in Nature biotechnology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers.

0numbers the graph read from it
0cells of the map it votes in
57citing papers in PubMed
7.0field-weighted citation impact, top 2% 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

57 citing papers in PubMed, 108 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Review
  6. PU.1 inhibition sensitizes stem-monocytic AML to BCL2 blockade.bioRxiv : the preprint server for biology · 2026
    Article
  7. Review
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  9. Article
  10. Article
  11. Article
  12. Article
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  14. Microbiome Single Cell Atlases Generated with a Commercial Instrument.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
  15. Article
  16. Review
  17. Article
  18. Single-Cell Hi-C Technologies and Computational Data Analysis.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    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

11 authors at 1 institution in 1 country.

Ryan M MulqueenDepartment of Molecular and Medical Genetics, Oregon Health and Science University, Portland, OR, USA.ORCID http://orcid.org/0000-0002-3903-7594
Dmitry PokholokScale Bio, Berkeley, CA, USA.
Brendan L O'ConnellDepartment of Molecular and Medical Genetics, Oregon Health and Science University, Portland, OR, USA.ORCID http://orcid.org/0000-0001-7757-4561
Casey A ThorntonDepartment of Molecular and Medical Genetics, Oregon Health and Science University, Portland, OR, USA.ORCID http://orcid.org/0000-0003-3589-6911
Fan ZhangScale Bio, Berkeley, CA, USA.
Brian J O'RoakDepartment of Molecular and Medical Genetics, Oregon Health and Science University, Portland, OR, USA.
Jason LinkDepartment of Molecular and Medical Genetics, Oregon Health and Science University, Portland, OR, USA.
Galip Gürkan YardımcıKnight Cancer Institute, Oregon Health and Science University, Portland, OR, USA.
Rosalie C SearsDepartment of Molecular and Medical Genetics, Oregon Health and Science University, Portland, OR, USA.ORCID http://orcid.org/0000-0003-1558-2413
Frank J SteemersScale Bio, Berkeley, CA, USA.
Andrew C AdeyDepartment of Molecular and Medical Genetics, Oregon Health and Science University, Portland, OR, USA. adey@ohsu.edu.ORCID http://orcid.org/0000-0001-7648-8717
Oregon Health & Science University · US

Funding

Hydroxylation regulation of c-MycR01CA186241 · NCI · OREGON HEALTH & SCIENCE UNIVERSITY · PI Mu-Shui Dai, ROSALIE C SEARS · 2015 to 2026
$4.2M
Characterizing patient-specific TBR1 mutations: Understanding a master regulator of autism risk.R01MH113926 · NIMH · OREGON HEALTH & SCIENCE UNIVERSITY · PI Brian James O'Roak · 2017 to 2026
$3.5M
Defining the epigentic landscape at single cell resolutionR35GM124704 · NIGMS · OREGON HEALTH & SCIENCE UNIVERSITY · PI ADEY, ANDREW · 2017 to 2021
$2.3M
Epigenetic tools and resources for cell-type and spatial analysis of individual mammalian non-neuronal cellsR01DA047237 · NIDA · OREGON HEALTH & SCIENCE UNIVERSITY · PI ADEY, ANDREW · 2018 to 2020
$1.7M
NCI NIH HHS R01 CA186241NIDA NIH HHS R01 DA047237NIGMS NIH HHS R35 GM124704NIMH NIH HHS R01 MH113926
6 · The paper itself

Abstract

Single-cell combinatorial indexing (sci) with transposase-based library construction increases the throughput of single-cell genomics assays but produces sparse coverage in terms of usable reads per cell. We develop symmetrical strand sci ('s3'), a uracil-based adapter switching approach that improves the rate of conversion of source DNA into viable sequencing library fragments following tagmentation. We apply this chemistry to assay chromatin accessibility (s3-assay for transposase-accessible chromatin, s3-ATAC) in human cortical and mouse whole-brain tissues, with mouse datasets demonstrating a six- to 13-fold improvement in usable reads per cell compared with other available methods. Application of s3 to single-cell whole-genome sequencing (s3-WGS) and to whole-genome plus chromatin conformation (s3-GCC) yields 148- and 14.8-fold improvements, respectively, in usable reads per cell compared with sci-DNA-sequencing and sci-HiC. We show that s3-WGS and s3-GCC resolve subclonal genomic alterations in patient-derived pancreatic cancer cell lines. We expect that the s3 platform will be compatible with other transposase-based techniques, including sci-MET or CUT&Tag.

Indexed as

ChromatinTransposasesAnimalsDNAGenomeHigh-Throughput Nucleotide SequencingHumansMiceSequence Analysis, DNASingle-Cell AnalysisChromatinDNATransposases

Identifiers

PMID34226710
PMCPMC8678206
OpenAlexW3180741386

What OpenQuestion holds

Textmetadata
LicenceTDM
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.