Evidence map›Paper›PMID 34551429›Full record

ArticleNucleic acids research2021

High resolution copy number inference in cancer using short-molecule nanopore sequencing.

Timour Baslan, Sam Kovaka, Fritz J Sedlazeck, Yanming Zhang, Robert Wappel, Sha Tian, Scott W Lowe, Sara Goodwin, Michael C Schatz

Abstract read
In one paragraph

Article in Nucleic acids research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. ComplexInternational journal of molecular sciences · 2026
    Review
  2. Article
  3. Review
  4. Article
  5. Review
  6. Review
  7. Review
  8. Review
  9. Review
  10. Article
  11. Review
  12. Article
  13. Review
  14. Article
  15. Article
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

9 authors.

Timour BaslanCancer Biology and Genetics Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Sam KovakaDepartment of Computer Science, Johns Hopkins University, Baltimore, MD, USA.
Fritz J SedlazeckHuman Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA.ORCID 0000-0001-6040-2691
Yanming ZhangCytogenetics Laboratory, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Robert WappelCold Spring Harbor Laboratory, Cold Spring Harbor, NY, USA.
Sha TianCancer Biology and Genetics Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Scott W LoweCancer Biology and Genetics Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Sara GoodwinCold Spring Harbor Laboratory, Cold Spring Harbor, NY, USA.
Michael C SchatzDepartment of Computer Science, Johns Hopkins University, Baltimore, MD, USA.ORCID 0000-0002-4118-4446

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
Single-Cell Biology Shared ResourceP30CA045508 · NCI · COLD SPRING HARBOR LABORATORY · PI John Edward Moses · 1987 to 2026
$118.9M
Implementing the Genomic Data Science Analysis, Visualization, and Informatics Lab-space (AnVIL)U24HG010263 · NHGRI · JOHNS HOPKINS UNIVERSITY · PI Enis Afgan, VINCENT JAMES CAREY · 2018 to 2026
$23.8M
Democratization of Data Analysis in Life Sciences Through GalaxyU24HG006620 · NHGRI · PENNSYLVANIA STATE UNIVERSITY, THE · PI Daniel James Blankenberg, Jeremy Goecks · 2021 to 2026
$9.8M
A Federated Galaxy for user-friendly large-scale cancer genomics researchU24CA231877 · NCI · OREGON HEALTH & SCIENCE UNIVERSITY · PI GOECKS, JEREMY, SCHATZ, MICHAEL · 2018 to 2022
$3.9M
The impact of chromosome 17p lesions on leukemogeneis and therapy responseR01CA190261 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI LOWE, SCOTT W. · 2015 to 2019
$2.0M
Integrative genomic and epigenomic analysis of cancer using long read sequencingU01CA253481 · NCI · JOHNS HOPKINS UNIVERSITY · PI SCHATZ, MICHAEL · 2021 to 2023
$1.1M
The Development and Optimization of Long-Read Sequencing Applications to Cancer Genomics in a Core SettingR50CA243890 · NCI · COLD SPRING HARBOR LABORATORY · PI GOODWIN, SARA · 2019 to 2025
$920k
Howard Hughes Medical InstituteNCI NIH HHS P30 CA008748NCI NIH HHS P30 CA045508NCI NIH HHS R01 CA190261NCI NIH HHS R50 CA243890NCI NIH HHS U01 CA253481NCI NIH HHS U24 CA231877NHGRI NIH HHS U24 HG006620NHGRI NIH HHS U24 HG010263
6 · The paper itself

Abstract

Genome copy number is an important source of genetic variation in health and disease. In cancer, Copy Number Alterations (CNAs) can be inferred from short-read sequencing data, enabling genomics-based precision oncology. Emerging Nanopore sequencing technologies offer the potential for broader clinical utility, for example in smaller hospitals, due to lower instrument cost, higher portability, and ease of use. Nonetheless, Nanopore sequencing devices are limited in the number of retrievable sequencing reads/molecules compared to short-read sequencing platforms, limiting CNA inference accuracy. To address this limitation, we targeted the sequencing of short-length DNA molecules loaded at optimized concentration in an effort to increase sequence read/molecule yield from a single nanopore run. We show that short-molecule nanopore sequencing reproducibly returns high read counts and allows high quality CNA inference. We demonstrate the clinical relevance of this approach by accurately inferring CNAs in acute myeloid leukemia samples. The data shows that, compared to traditional approaches such as chromosome analysis/cytogenetics, short molecule nanopore sequencing returns more sensitive, accurate copy number information in a cost effective and expeditious manner, including for multiplex samples. Our results provide a framework for short-molecule nanopore sequencing with applications in research and medicine, which includes but is not limited to, CNAs.

Indexed as

DNA Copy Number VariationsCell Line, TumorDNAHumansMedical OncologyNanopore SequencingNeoplasmsDNA

Identifiers

PMID34551429
PMCPMC8643650

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.