Evidence map›Paper›PMID 28207771›Full record

ArticlePloS one2017

Comparison of whole genome amplification techniques for human single cell exome sequencing.

Erik Borgström, Marta Paterlini, Jeff E Mold, Jonas Frisen, Joakim Lundeberg

Abstract readComparative Study
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers.

0numbers the graph read from it
0cells of the map it votes in
50citing 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

50 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Retained chromosomal integrity following CRISPR-Cas9-based mutational correction in human embryos.Molecular therapy : the journal of the American Society of Gene Therapy · 2023
    Article
  15. Review
  16. Review
  17. Article
  18. Review
  19. Article
  20. Whole genome sequencing ofFrontiers in genome editing · 2022
    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

5 authors.

Erik BorgströmScilifelab, Division of Gene Technology, KTH Royal Institute of Technology, Stockholm, Sweden.
Marta PaterliniCMB, Department of Cell and Molecular Biology, Karolinska Institutet, Stockholm, Sweden.
Jeff E MoldCMB, Department of Cell and Molecular Biology, Karolinska Institutet, Stockholm, Sweden.
Jonas FrisenCMB, Department of Cell and Molecular Biology, Karolinska Institutet, Stockholm, Sweden.
Joakim LundebergScilifelab, Division of Gene Technology, KTH Royal Institute of Technology, Stockholm, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWhole genome amplification (WGA) is currently a prerequisite for single cell whole genome or exome sequencing. Depending on the method used the rate of artifact formation, allelic dropout and sequence coverage over the genome may differ significantly.

resultsThe largest difference between the evaluated protocols was observed when analyzing the target coverage and read depth distribution. These differences also had impact on the downstream variant calling. Conclusively, the products from the AMPLI1 and MALBAC kits were shown to be most similar to the bulk samples and are therefore recommended for WGA of single cells. DISCUSSION: In this study four commercial kits for WGA (AMPLI1, MALBAC, Repli-G and PicoPlex) were used to amplify human single cells. The WGA products were exome sequenced together with non-amplified bulk samples from the same source. The resulting data was evaluated in terms of genomic coverage, allelic dropout and SNP calling.

Indexed as

Genome, HumanExomeHigh-Throughput Nucleotide SequencingHumansNucleic Acid Amplification TechniquesPolymorphism, Single NucleotideSequence Analysis, DNASingle-Cell Analysis

Identifiers

PMID28207771
PMCPMC5313163

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.