Evidence map›Paper›PMID 28135258›Full record

ArticleNature methods2017

Sequencing thousands of single-cell genomes with combinatorial indexing.

Sarah A Vitak, Kristof A Torkenczy, Jimi L Rosenkrantz, Andrew J Fields, Lena Christiansen, Melissa H Wong, Lucia Carbone, Frank J Steemers, Andrew Adey

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 166 papers.

0numbers the graph read from it
0cells of the map it votes in
166citing 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

166 citing papers in PubMed.

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106 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.

Sarah A VitakDepartment of Molecular &Medical Genetics, Oregon Health &Science University, Portland, Oregon, USA.
Kristof A TorkenczyDepartment of Molecular &Medical Genetics, Oregon Health &Science University, Portland, Oregon, USA.ORCID 0000-0002-4869-7957
Jimi L RosenkrantzDepartment of Molecular &Medical Genetics, Oregon Health &Science University, Portland, Oregon, USA.
Andrew J FieldsDepartment of Molecular &Medical Genetics, Oregon Health &Science University, Portland, Oregon, USA.
Lena ChristiansenAdvanced Research Group, Illumina Inc., San Diego, California, USA.
Melissa H WongDepartment of Cell, Developmental &Cancer Biology, Oregon Health &Science University, Portland, Oregon, USA.
Lucia CarboneDepartment of Molecular &Medical Genetics, Oregon Health &Science University, Portland, Oregon, USA.
Frank J SteemersAdvanced Research Group, Illumina Inc., San Diego, California, USA.
Andrew AdeyDepartment of Molecular &Medical Genetics, Oregon Health &Science University, Portland, Oregon, USA.

Funding

Upgrade of confocal microscopy at the Oregon National Primate Research CenterP51OD011092 · OD · OREGON HEALTH & SCIENCE UNIVERSITY · PI Bonnie J. Nagel · 2012 to 2026
$203.9M
NIH HHS P51 OD011092
6 · The paper itself

Abstract

Single-cell genome sequencing has proven valuable for the detection of somatic variation, particularly in the context of tumor evolution. Current technologies suffer from high library construction costs, which restrict the number of cells that can be assessed and thus impose limitations on the ability to measure heterogeneity within a tissue. Here, we present single-cell combinatorial indexed sequencing (SCI-seq) as a means of simultaneously generating thousands of low-pass single-cell libraries for detection of somatic copy-number variants. We constructed libraries for 16,698 single cells from a combination of cultured cell lines, primate frontal cortex tissue and two human adenocarcinomas, and obtained a detailed assessment of subclonal variation within a pancreatic tumor.

Indexed as

AdenocarcinomaAnimalsCell Line, TumorChromosome MappingDNA Copy Number VariationsFrontal LobeGene LibraryGenome, HumanHeLa CellsHigh-Throughput Nucleotide SequencingHumansMacaca mulattaPancreatic NeoplasmsSequence Analysis, DNASingle-Cell Analysis

Identifiers

PMID28135258
PMCPMC5908213

What OpenQuestion holds

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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.