Evidence map›Paper›PMID 38712075›Full record

ArticlebioRxiv : the preprint server for biology2024

Droplet Hi-C for Fast and Scalable Profiling of Chromatin Architecture in Single Cells.

Lei Chang, Yang Xie, Brett Taylor, Zhaoning Wang, Jiachen Sun, Tuyet R Tan, Rafael Bejar, Clark C Chen, Frank B Furnari, Ming Hu and 1 more

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Lei ChangDepartment of Cellular and Molecular Medicine, University of California, San Diego, La Jolla, CA, USA.
Yang XieDepartment of Cellular and Molecular Medicine, University of California, San Diego, La Jolla, CA, USA.
Brett TaylorDepartment of Cellular and Molecular Medicine, University of California, San Diego, La Jolla, CA, USA.
Zhaoning WangDepartment of Cellular and Molecular Medicine, University of California, San Diego, La Jolla, CA, USA.
Jiachen SunDepartment of Quantitative Health Sciences, Lerner Research Institute, Cleveland Clinic Foundation, Cleveland, OH, USA.
Tuyet R TanMoores Cancer Center, UC San Diego, La Jolla, CA, USA.
Rafael BejarMoores Cancer Center, UC San Diego, La Jolla, CA, USA.
Clark C ChenDepartment of Neurosurgery, University of Minnesota, Minneapolis, MN, USA.
Frank B FurnariDepartment of Medicine, University of California, San Diego School of Medicine, La Jolla, CA, USA.
Ming HuDepartment of Quantitative Health Sciences, Lerner Research Institute, Cleveland Clinic Foundation, Cleveland, OH, USA.
Bing RenDepartment of Cellular and Molecular Medicine, University of California, San Diego, La Jolla, CA, USA.

Funding

MEDICAL SCIENTIST TRAINING PROGRAMT32GM007198 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI CHI, NEIL C, INSEL, PAUL A · 1985 to 2024
$29.3M
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
Predoctoral and Postdoctoral Training in Cancer Cell BiologyT32CA067754 · NCI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI JEAN Y.J. WANG · 1995 to 2026
$6.5M
Credentialing next-generation human glioma models for precision therapeuticsR01CA258248 · NCI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI Frank Furnari, Christopher Ryan Miller · 2022 to 2026
$3.0M
Model-based methods for single cell chromatin interactomic dataR35HG011922 · NHGRI · CLEVELAND CLINIC LERNER COM-CWRU · PI HU, MING · 2021 to 2025
$2.4M
Illumina NovaSeq 6000 Sequencing SystemS10OD026929 · OD · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI JEPSEN, KRISTEN LYNN · 2019 to 2019
$600k
Genotypic Interactions in Brain Cancer HeterogeneityR56NS080939 · NINDS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI FURNARI, FRANK · 2023 to 2023
$537k
NCI NIH HHS R01 CA258248NCI NIH HHS T32 CA067754NHGRI NIH HHS R35 HG011922NHGRI NIH HHS UM1 HG011585NIGMS NIH HHS T32 GM007198NIH HHS S10 OD026929NINDS NIH HHS R56 NS080939
6 · The paper itself

Abstract

Comprehensive analysis of chromatin architecture is crucial for understanding the gene regulatory programs during development and in disease pathogenesis, yet current methods often inadequately address the unique challenges presented by analysis of heterogeneous tissue samples. Here, we introduce Droplet Hi-C, which employs a commercial microfluidic device for high-throughput, single-cell chromatin conformation profiling in droplets. Using Droplet Hi-C, we mapped the chromatin architecture at single-cell resolution from the mouse cortex and analyzed gene regulatory programs in major cortical cell types. Additionally, we used this technique to detect copy number variation (CNV), structural variations (SVs) and extrachromosomal DNA (ecDNA) in cancer cells, revealing clonal dynamics and other oncogenic events during treatment. We further refined this technique to allow for joint profiling of chromatin architecture and transcriptome in single cells, facilitating a more comprehensive exploration of the links between chromatin architecture and gene expression in both normal tissues and tumors. Thus, Droplet Hi-C not only addresses critical gaps in chromatin analysis of heterogeneous tissues but also emerges as a versatile tool enhancing our understanding of gene regulation in health and disease.

Identifiers

PMID38712075
PMCPMC11071305

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.