Evidence map›Paper›PMID 34426703›Full record

ArticleNature biotechnology2022

Single-cell measurement of higher-order 3D genome organization with scSPRITE.

Mary V Arrastia, Joanna W Jachowicz, Noah Ollikainen, Matthew S Curtis, Charlotte Lai, Sofia A Quinodoz, David A Selck, Rustem F Ismagilov, Mitchell Guttman

Open access · greenAbstract read
In one paragraph

Article in Nature biotechnology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 89 papers.

0numbers the graph read from it
0cells of the map it votes in
89citing papers in PubMed
7.1field-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

89 citing papers in PubMed, 131 citations in OpenAlex.

  1. Article
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  3. CAD-C: An engineered nuclease enables repair-freebioRxiv : the preprint server for biology · 2026
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  16. Applications and development of in situ nucleic acid visualization techniques.Frontiers in bioengineering and biotechnology · 2026
    Review
  17. Article
  18. Review
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  20. Article

29 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 1 institution in 1 country.

Mary V Arrastia *Division of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, CA, USA.ORCID http://orcid.org/0000-0002-0723-3574
Joanna W Jachowicz *Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, USA.ORCID http://orcid.org/0000-0002-1599-682X
Noah OllikainenDivision of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, USA.
Matthew S CurtisDivision of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, CA, USA.ORCID http://orcid.org/0000-0002-9662-3266
Charlotte LaiDivision of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, USA.
Sofia A QuinodozDivision of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, USA.ORCID http://orcid.org/0000-0003-1862-5204
David A SelckDivision of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, CA, USA.ORCID http://orcid.org/0000-0002-0591-4165
Rustem F IsmagilovDivision of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, CA, USA. rustem.admin@caltech.edu.ORCID http://orcid.org/0000-0002-3680-4399
Mitchell GuttmanDivision of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, USA. mguttman@caltech.edu.ORCID http://orcid.org/0000-0003-4748-9352
California Institute of Technology · US

Funding

Rules of gene expression modeled on human dendritic cell response to pathogensU01HG007910 · NHGRI · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI GARBER, MANUEL, LUBAN, JEREMY · 2015 to 2017
$6.1M
Deciphering the function and mechanisms of lncRNA-mediated organization of nuclear compartmentsU01DA040612 · NIDA · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI GUTTMAN, MITCHELL, RINN, JOHN LOUIS · 2015 to 2019
$4.1M
Novel tools to comprehensively map dynamic organization of RNA and DNA in higher-order nuclear structures within single cellsU01HL130007 · NHLBI · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI GUTTMAN, MITCHELL, ISMAGILOV, RUSTEM F · 2015 to 2019
$3.9M
NHGRI NIH HHS U01 HG007910NHLBI NIH HHS U01 HL130007NIDA NIH HHS U01 DA040612
6 · The paper itself

Abstract

Although three-dimensional (3D) genome organization is central to many aspects of nuclear function, it has been difficult to measure at the single-cell level. To address this, we developed 'single-cell split-pool recognition of interactions by tag extension' (scSPRITE). scSPRITE uses split-and-pool barcoding to tag DNA fragments in the same nucleus and their 3D spatial arrangement. Because scSPRITE measures multiway DNA contacts, it generates higher-resolution maps within an individual cell than can be achieved by proximity ligation. We applied scSPRITE to thousands of mouse embryonic stem cells and detected known genome structures, including chromosome territories, active and inactive compartments, and topologically associating domains (TADs) as well as long-range inter-chromosomal structures organized around various nuclear bodies. We observe that these structures exhibit different levels of heterogeneity across the population, with TADs representing dynamic units of genome organization across cells. We expect that scSPRITE will be a critical tool for studying genome structure within heterogeneous populations.

Indexed as

Cell NucleusGenomeAnimalsChromatinDNAMiceMouse Embryonic Stem CellsChromatinDNA

Identifiers

PMID34426703
PMCPMC11588347
OpenAlexW3193986928

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.