Evidence map›Paper›PMID 28135255›Full record

ArticleNature methods2017

Massively multiplex single-cell Hi-C.

Vijay Ramani, Xinxian Deng, Ruolan Qiu, Kevin L Gunderson, Frank J Steemers, Christine M Disteche, William S Noble, Zhijun Duan, Jay Shendure

Abstract read
In one paragraph

Article in Nature methods, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 349 papers.

0numbers the graph read from it
0cells of the map it votes in
349citing 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

349 citing papers in PubMed.

  1. Article
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  18. Article
  19. Enhancer Dynamics for Gene Regulation in the Cardiovascular System.Arteriosclerosis, thrombosis, and vascular biology · 2026
    Review
  20. Article

289 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.

Vijay RamaniDepartment of Genome Sciences, University of Washington, Seattle, Washington, USA.ORCID 0000-0003-3345-5960
Xinxian DengDepartment of Pathology, University of Washington, Seattle, Washington, USA.
Ruolan QiuDepartment of Genome Sciences, University of Washington, Seattle, Washington, USA.
Kevin L GundersonIllumina Inc., Advanced Research Group, San Diego, California, USA.
Frank J SteemersIllumina Inc., Advanced Research Group, San Diego, California, USA.
Christine M DistecheDepartment of Pathology, University of Washington, Seattle, Washington, USA.
William S NobleDepartment of Genome Sciences, University of Washington, Seattle, Washington, USA.ORCID 0000-0001-7283-4715
Zhijun DuanDivision of Hematology, University of Washington School of Medicine, Seattle, Washington, USA.ORCID 0000-0002-8147-793X
Jay ShendureDepartment of Genome Sciences, University of Washington, Seattle, Washington, USA.

Funding

INTERDISCIPLINARY TRAINING IN GENOMIC SCIENCEST32HG000035 · NHGRI · UNIVERSITY OF WASHINGTON · PI Bruce Colston Trapnell · 1995 to 2026
$24.2M
University of Washington Center for Nuclear Organization and FunctionU54DK107979 · NIDDK · UNIVERSITY OF WASHINGTON · PI NOBLE, WILLIAM STAFFORD, SHENDURE, JAY ASHOK · 2015 to 2019
$11.8M
Interpreting Genetic Variants of Uncertain SignificanceDP1HG007811 · NHGRI · UNIVERSITY OF WASHINGTON · PI SHENDURE, JAY ASHOK · 2013 to 2017
$3.8M
Massively Parallel Contiguity MappingR01HG006283 · NHGRI · UNIVERSITY OF WASHINGTON · PI SHENDURE, JAY ASHOK · 2011 to 2016
$3.4M
Howard Hughes Medical InstituteNHGRI NIH HHS DP1 HG007811NHGRI NIH HHS R01 HG006283NHGRI NIH HHS T32 HG000035NIDDK NIH HHS U54 DK107979
6 · The paper itself

Abstract

We present single-cell combinatorial indexed Hi-C (sciHi-C), a method that applies combinatorial cellular indexing to chromosome conformation capture. In this proof of concept, we generate and sequence six sciHi-C libraries comprising a total of 10,696 single cells. We use sciHi-C data to separate cells by karyotypic and cell-cycle state differences and identify cell-to-cell heterogeneity in mammalian chromosomal conformation. Our results demonstrate that combinatorial indexing is a generalizable strategy for single-cell genomics.

Indexed as

Molecular ConformationCell CycleCell Line, TumorChromosomesDNAGene LibraryGenome, HumanGenomicsHeLa CellsHigh-Throughput Nucleotide SequencingHumansSequence Analysis, DNASingle-Cell AnalysisDNA

Identifiers

PMID28135255
PMCPMC5330809

What OpenQuestion holds

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Registered trials

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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.