Evidence map›Paper›PMID 35013617›Full record

ReviewNature protocols2022

SPRITE: a genome-wide method for mapping higher-order 3D interactions in the nucleus using combinatorial split-and-pool barcoding.

Sofia A Quinodoz, Prashant Bhat, Peter Chovanec, Joanna W Jachowicz, Noah Ollikainen, Elizabeth Detmar, Elizabeth Soehalim, Mitchell Guttman

Open access · greenAbstract readReview
In one paragraph

Review in Nature protocols, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
5.4field-weighted citation impact, top 3% 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

33 citing papers in PubMed, 64 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Rewiring cancer epigenome: lncRNA as modulator of chromatin architecture and neoplastic transformation.Mammalian genome : official journal of the International Mammalian Genome Society · 2025
    Review
  5. Review
  6. Article
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  8. Review
  9. Article
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  14. Principles of Computation by Competitive Protein Dimerization Networks.bioRxiv : the preprint server for biology · 2024
    Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. Review
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

8 authors at 1 institution in 1 country.

Sofia A QuinodozDivision of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, USA.ORCID http://orcid.org/0000-0003-1862-5204
Prashant BhatDivision of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, USA.ORCID http://orcid.org/0000-0003-3832-4871
Peter ChovanecDivision of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, USA.ORCID http://orcid.org/0000-0001-8066-1893
Joanna W JachowiczDivision 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.
Elizabeth DetmarDivision of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, USA.
Elizabeth SoehalimDivision of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, USA.
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

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
Deciphering the mechanism of large ncRNA mediated regulation of cell stateDP5OD012190 · OD · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI GUTTMAN, MITCHELL · 2012 to 2016
$2.4M
Determining the function and mechanism of the MALAT1 long non-coding RNA in co-transcriptional splicingF30CA247447 · NCI · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI BHAT, PRASHANT · 2020 to 2021
$102k
Howard Hughes Medical InstituteNCI NIH HHS F30 CA247447NHLBI NIH HHS U01 HL130007NIDA NIH HHS U01 DA040612NIH HHS DP5 OD012190
6 · The paper itself

Abstract

A fundamental question in gene regulation is how cell-type-specific gene expression is influenced by the packaging of DNA within the nucleus of each cell. We recently developed Split-Pool Recognition of Interactions by Tag Extension (SPRITE), which enables mapping of higher-order interactions within the nucleus. SPRITE works by cross-linking interacting DNA, RNA and protein molecules and then mapping DNA-DNA spatial arrangements through an iterative split-and-pool barcoding method. All DNA molecules within a cross-linked complex are barcoded by repeatedly splitting complexes across a 96-well plate, ligating molecules with a unique tag sequence, and pooling all complexes into a single well before repeating the tagging. Because all molecules in a cross-linked complex are covalently attached, they will sort together throughout each round of split-and-pool and will obtain the same series of SPRITE tags, which we refer to as a barcode. The DNA fragments and their associated barcodes are sequenced, and all reads sharing identical barcodes are matched to reconstruct interactions. SPRITE accurately maps pairwise DNA interactions within the nucleus and measures higher-order spatial contacts occurring among up to thousands of simultaneously interacting molecules. Here, we provide a detailed protocol for the experimental steps of SPRITE, including a video ( https://youtu.be/6SdWkBxQGlg ). Furthermore, we provide an automated computational pipeline available on GitHub that allows experimenters to seamlessly generate SPRITE interaction matrices starting with raw fastq files. The protocol takes ~5 d from cell cross-linking to high-throughput sequencing for the experimental steps and 1 d for data processing.

Indexed as

Cell NucleusDNASoftwareAnimalsCell LineDNA Barcoding, TaxonomicFemaleGenetic TechniquesGenomicsHigh-Throughput Nucleotide SequencingHumansMiceDNA

Identifiers

PMID35013617
PMCPMC12145137
OpenAlexW4205374539

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.