Evidence map›Paper›PMID 37573342›Full record

ArticleNature communications2023

SnapFISH: a computational pipeline to identify chromatin loops from multiplexed DNA FISH data.

Lindsay Lee, Hongyu Yu, Bojing Blair Jia, Adam Jussila, Chenxu Zhu, Jiawen Chen, Liangqi Xie, Antonina Hafner, Shreya Mishra, Duan Dennis Wang and 5 more

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.5field-weighted citation impact, top 17% 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

9 citing papers in PubMed, 10 citations in OpenAlex.

  1. Differential analysis of image-based chromatin tracing data with Dory.bioRxiv : the preprint server for biology · 2026
    Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. SnapFISH-IMPUTE: an imputation method for multiplexed DNA FISH data.bioRxiv : the preprint server for biology · 2024
    Article
  8. Image-based 3D genomics through chromatin tracing.Nature reviews. Methods primers · 2024
    Article
  9. 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

15 authors at 8 institutions in 1 country.

Lindsay LeeDepartment of Quantitative Health Sciences, Lerner Research Institute, Cleveland Clinic Foundation, Cleveland, OH, USA.
Hongyu YuDepartment of Statistics, University of Wisconsin Madison, Madison, WI, USA.
Bojing Blair JiaBioinformatics and Systems Biology Graduate Program, University of California San Diego, La Jolla, CA, USA.
Adam JussilaBioinformatics and Systems Biology Graduate Program, University of California San Diego, La Jolla, CA, USA.
Chenxu ZhuLudwig Institute for Cancer Research, La Jolla, CA, USA.ORCID http://orcid.org/0000-0003-4216-6562
Jiawen ChenDepartment of Biostatistics, University of North Carolina, Chapel Hill, NC, USA.
Liangqi XieDepartment of Infection Biology, Lerner Research Institute, Cleveland Clinic Foundation, Cleveland, OH, USA.
Antonina HafnerDepartment of Developmental Biology, Stanford University, Stanford, CA, USA.
Shreya MishraDepartment of Quantitative Health Sciences, Lerner Research Institute, Cleveland Clinic Foundation, Cleveland, OH, USA.
Duan Dennis WangChapel Hill High School, Chapel Hill, NC, USA.
Caterina Strambio-De-CastilliaProgram in Molecular Medicine, University of Massachusetts Chan Medical School, Worcester, MA, USA.ORCID http://orcid.org/0000-0002-1069-1816
Alistair BoettigerDepartment of Developmental Biology, Stanford University, Stanford, CA, USA.
Bing RenLudwig Institute for Cancer Research, La Jolla, CA, USA.
Yun LiDepartment of Biostatistics, University of North Carolina, Chapel Hill, NC, USA. yunli@med.unc.edu.ORCID http://orcid.org/0000-0002-9275-4189
Ming HuDepartment of Quantitative Health Sciences, Lerner Research Institute, Cleveland Clinic Foundation, Cleveland, OH, USA. hum@ccf.org.ORCID http://orcid.org/0000-0003-0987-2916
Cleveland Clinic · USUniversity of California San Diego · USStanford University · USUniversity of North Carolina at Chapel Hill · USChapel Hill Carrboro City Schools · USCornell University · USUniversity of Massachusetts Chan Medical School · USUniversity of Wisconsin–Madison · US

Funding

Back Pain Consortium (BACPAC) Research Program Data Integration, Algorithm Development and Operations Management CenterU24AR076730 · NIAMS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI ANSTROM, KEVIN J, IVANOVA, ANASTASIA · 2019 to 2024
$60.0M
Beyond GWAS: High Throughput Functional Genomics & Epigenome Editing to Elucidate the Effects of Genetic Associations for SchizophreniaR01MH125236 · NIMH · DUKE UNIVERSITY · PI CRAWFORD, GREGORY E, GERSBACH, CHARLES A. · 2021 to 2025
$8.1M
Center for Integrated Multi-modal and Multi-scale Nucleome ResearchUM1HG011585 · NHGRI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI DULAC, CATHERINE, LEIN, ED · 2020 to 2024
$6.7M
Polygenic risk scores for cardiometabolic disorders: the role of blood cells immune response and evolutionary adaptationU01HG011720 · NHGRI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Yun Li, ALEXANDER P REINER · 2021 to 2026
$5.4M
Charting the 3D epigenome in human brain development and diseasesU01DA052713 · NIDA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI KRIEGSTEIN, ARNOLD, SHEN, YIN · 2020 to 2024
$3.4M
University Training Program in Biomolecular and Tissue EngineeringT32GM144291 · NIGMS · DUKE UNIVERSITY · PI Charles A. Gersbach, Tatiana Segura · 2022 to 2026
$2.6M
Model-based methods for single cell chromatin interactomic dataR35HG011922 · NHGRI · CLEVELAND CLINIC LERNER COM-CWRU · PI HU, MING · 2021 to 2025
$2.4M
Genetics of Cardiovascular Disease in Chronic Kidney DiseaseR01HL163972 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI FRANCESCHINI, NORA, LI, YUN · 2022 to 2025
$1.9M
NHGRI NIH HHS R35 HG011922NHGRI NIH HHS U01 HG011720NHGRI NIH HHS UM1 HG011585NHLBI NIH HHS R01 HL163972NIAMS NIH HHS U24 AR076730NIDA NIH HHS U01 DA052713NIGMS NIH HHS T32 GM144291NIMH NIH HHS R01 MH125236
6 · The paper itself

Abstract

Multiplexed DNA fluorescence in situ hybridization (FISH) imaging technologies have been developed to map the folding of chromatin fibers at tens of nanometers and up to several kilobases in resolution in single cells. However, computational methods to reliably identify chromatin loops from such imaging datasets are still lacking. Here we present a Single-Nucleus Analysis Pipeline for multiplexed DNA FISH (SnapFISH), to process the multiplexed DNA FISH data and identify chromatin loops. SnapFISH can identify known chromatin loops from mouse embryonic stem cells with high sensitivity and accuracy. In addition, SnapFISH obtains comparable results of chromatin loops across datasets generated from diverse imaging technologies. SnapFISH is freely available at https://github.com/HuMingLab/SnapFISH .

Indexed as

ChromatinDNAAnimalsIn Situ Hybridization, FluorescenceMiceChromatinDNA

Identifiers

PMID37573342
PMCPMC10423204
OpenAlexW4385783607

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.