Evidence map›Paper›PMID 31495564›Full record

ArticleMolecular cell2019

High-Throughput Single-Cell Sequencing with Linear Amplification.

Yi Yin, Yue Jiang, Kwan-Wood Gabriel Lam, Joel B Berletch, Christine M Disteche, William S Noble, Frank J Steemers, R Daniel Camerini-Otero, Andrew C Adey, Jay Shendure

Abstract read
In one paragraph

Article in Molecular cell, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 73 papers.

0numbers the graph read from it
0cells of the map it votes in
73citing 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

73 citing papers in PubMed.

  1. Review
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  18. Genetic diversity and population structure analysis in Asparagus officinalis.Journal, genetic engineering & biotechnology · 2025
    Article
  19. Review
  20. Article

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

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

10 authors.

Yi YinDepartment of Genome Sciences, University of Washington, Seattle, WA, USA. Electronic address: yy224@uw.edu.
Yue JiangSeattle, WA, USA.
Kwan-Wood Gabriel LamGenetics and Biochemistry Branch, NIDDK, NIH, Bethesda, MD, USA.
Joel B BerletchDepartment of Pathology, University of Washington, Seattle, WA, USA.
Christine M DistecheDepartment of Pathology, University of Washington, Seattle, WA, USA.
William S NobleDepartment of Genome Sciences, University of Washington, Seattle, WA, USA.
Frank J SteemersIllumina, San Diego, CA, USA.
R Daniel Camerini-OteroGenetics and Biochemistry Branch, NIDDK, NIH, Bethesda, MD, USA.
Andrew C AdeyDepartment of Molecular and Medical Genetics, Oregon Health & Science University, Portland, OR, USA; Knight Cardiovascular Institute, Portland, OR, USA.
Jay ShendureDepartment of Genome Sciences, University of Washington, Seattle, WA, USA; Allen Discovery Center for Cell Lineage Tracing, Seattle, WA, USA; Brotman Baty Institute for Precision Medicine, Seattle, WA, USA; Howard Hughes Medical Institute, Seattle, WA, USA. Electronic address: shendure@uw.edu.

Funding

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
Versatile, exponentially scalable methods for single cell molecular profilingR01HG010632 · NHGRI · UNIVERSITY OF WASHINGTON · PI Jay Ashok Shendure, Bruce Colston Trapnell · 2019 to 2026
$5.9M
Mouse X InactivationR01GM046883 · NIGMS · UNIVERSITY OF WASHINGTON · PI DISTECHE, CHRISTINE M. · 1992 to 2018
$5.9M
X chromosome regulation and role in aneuploidyR35GM131745 · NIGMS · UNIVERSITY OF WASHINGTON · PI Christine M. Disteche · 2019 to 2026
$4.1M
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
Defining the epigentic landscape at single cell resolutionR35GM124704 · NIGMS · OREGON HEALTH & SCIENCE UNIVERSITY · PI ADEY, ANDREW · 2017 to 2021
$2.3M
Howard Hughes Medical InstituteNHGRI NIH HHS DP1 HG007811NHGRI NIH HHS R01 HG006283NHGRI NIH HHS R01 HG010632NIDDK NIH HHS U54 DK107979NIGMS NIH HHS R01 GM046883NIGMS NIH HHS R35 GM124704NIGMS NIH HHS R35 GM131745
6 · The paper itself

Abstract

Conventional methods for single-cell genome sequencing are limited with respect to uniformity and throughput. Here, we describe sci-L3, a single-cell sequencing method that combines combinatorial indexing (sci-) and linear (L) amplification. The sci-L3 method adopts a 3-level (3) indexing scheme that minimizes amplification biases while enabling exponential gains in throughput. We demonstrate the generalizability of sci-L3 with proof-of-concept demonstrations of single-cell whole-genome sequencing (sci-L3-WGS), targeted sequencing (sci-L3-target-seq), and a co-assay of the genome and transcriptome (sci-L3-RNA/DNA). We apply sci-L3-WGS to profile the genomes of >10,000 sperm and sperm precursors from F1 hybrid mice, mapping 86,786 crossovers and characterizing rare chromosome mis-segregation events in meiosis, including instances of whole-genome equational chromosome segregation. We anticipate that sci-L3 assays can be applied to fully characterize recombination landscapes, to couple CRISPR perturbations and measurements of genome stability, and to other goals requiring high-throughput, high-coverage single-cell sequencing.

Indexed as

Gene Expression ProfilingHigh-Throughput Nucleotide SequencingNucleic Acid Amplification TechniquesSequence Analysis, DNASequence Analysis, RNAWhole Genome SequencingAnimalsChromosome SegregationMaleMeiosisMiceProof of Concept StudySingle-Cell AnalysisSpermatozoaTranscriptomeWorkflowchromosome segregationDNA repairdouble-strand breakhomologous recombinationinfertilitylinear amplificationmeiotic crossovermousesingle-cell combinatorial indexingsingle-cell sequencing

Identifiers

PMID31495564
PMCPMC6874760

What OpenQuestion holds

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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.