Evidence map›Paper›PMID 38438920›Full record

ArticleGenome biology2024

scAbsolute: measuring single-cell ploidy and replication status.

Michael P Schneider, Amy E Cullen, Justina Pangonyte, Jason Skelton, Harvey Major, Elke Van Oudenhove, Maria J Garcia, Blas Chaves Urbano, Anna M Piskorz, James D Brenton and 2 more

Abstract read
In one paragraph

Article in Genome biology, 2024. 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
–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

9 citing papers in PubMed.

  1. Article
  2. Benchmarking Ploidy Estimation Methods for Bulk and Single-Cell Whole Genome Sequencing.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
  3. Review
  4. Article
  5. Article
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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

12 authors.

Michael P SchneiderUniversity of Cambridge, Cambridge, UK.
Amy E CullenUniversity of Cambridge, Cambridge, UK.
Justina PangonyteUniversity of Cambridge, Cambridge, UK.
Jason SkeltonUniversity of Cambridge, Cambridge, UK.
Harvey MajorUniversity of Cambridge, Cambridge, UK.
Elke Van OudenhoveUniversity of Cambridge, Cambridge, UK.
Maria J GarciaSpanish National Cancer Research Centre (CNIO), Madrid, Spain.
Blas Chaves UrbanoSpanish National Cancer Research Centre (CNIO), Madrid, Spain.
Anna M PiskorzUniversity of Cambridge, Cambridge, UK.
James D BrentonUniversity of Cambridge, Cambridge, UK.
Geoff MacintyreSpanish National Cancer Research Centre (CNIO), Madrid, Spain.
Florian MarkowetzUniversity of Cambridge, Cambridge, UK. florian.markowetz@cruk.cam.ac.uk.ORCID 0000-0002-2784-5308

Funding

Cancer Research UK 15601Cancer Research UK 22905
6 · The paper itself

Abstract

Cancer cells often exhibit DNA copy number aberrations and can vary widely in their ploidy. Correct estimation of the ploidy of single-cell genomes is paramount for downstream analysis. Based only on single-cell DNA sequencing information, scAbsolute achieves accurate and unbiased measurement of single-cell ploidy and replication status, including whole-genome duplications. We demonstrate scAbsolute's capabilities using experimental cell multiplets, a FUCCI cell cycle expression system, and a benchmark against state-of-the-art methods. scAbsolute provides a robust foundation for single-cell DNA sequencing analysis across different technologies and has the potential to enable improvements in a number of downstream analyses.

Indexed as

BenchmarkingPloidiesCell CycleCell DivisionSequence Analysis, DNACell cycle stagePloidy estimationSinge-cell genomicsSingle-cell DNA sequencingWhole-genome doublingWhole-genome duplication

Identifiers

PMID38438920
PMCPMC10910719

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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.