Evidence map›Paper›PMID 27220682›Full record

ArticleScientific reports2016

The minimal amount of starting DNA for Agilent's hybrid capture-based targeted massively parallel sequencing.

Jongsuk Chung, Dae-Soon Son, Hyo-Jeong Jeon, Kyoung-Mee Kim, Gahee Park, Gyu Ha Ryu, Woong-Yang Park, Donghyun Park

Open access · goldAbstract readComparative Study
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
2.9field-weighted citation impact, top 10% of its field
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

26 citing papers in PubMed, 50 citations in OpenAlex.

  1. Trial
  2. Article
  3. Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

8 authors at 2 institutions in 1 country.

Jongsuk ChungSamsung Biomedical Research Institute, Samsung Advanced Institute of Technology, Samsung Electronics Co. Ltd., Seoul 06351, Korea.
Dae-Soon SonSamsung Biomedical Research Institute, Samsung Advanced Institute of Technology, Samsung Electronics Co. Ltd., Seoul 06351, Korea.
Hyo-Jeong JeonSamsung Genome Institute, Samsung Medical Center, Seoul 06351, Korea.
Kyoung-Mee KimDepartment of Pathology and Translational Genomics, Sungkyunkwan University School of Medicine, Suwon 16419, Korea.
Gahee ParkSamsung Genome Institute, Samsung Medical Center, Seoul 06351, Korea.
Gyu Ha RyuOffice of Research and Development Strategy &Planning, Samsung Medical Center, Seoul 06351, Korea.
Woong-Yang ParkSamsung Genome Institute, Samsung Medical Center, Seoul 06351, Korea.
Donghyun ParkSamsung Biomedical Research Institute, Samsung Advanced Institute of Technology, Samsung Electronics Co. Ltd., Seoul 06351, Korea.
Samsung Medical Center · KRSungkyunkwan University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Targeted capture massively parallel sequencing is increasingly being used in clinical settings, and as costs continue to decline, use of this technology may become routine in health care. However, a limited amount of tissue has often been a challenge in meeting quality requirements. To offer a practical guideline for the minimum amount of input DNA for targeted sequencing, we optimized and evaluated the performance of targeted sequencing depending on the input DNA amount. First, using various amounts of input DNA, we compared commercially available library construction kits and selected Agilent's SureSelect-XT and KAPA Biosystems' Hyper Prep kits as the kits most compatible with targeted deep sequencing using Agilent's SureSelect custom capture. Then, we optimized the adapter ligation conditions of the Hyper Prep kit to improve library construction efficiency and adapted multiplexed hybrid selection to reduce the cost of sequencing. In this study, we systematically evaluated the performance of the optimized protocol depending on the amount of input DNA, ranging from 6.25 to 200 ng, suggesting the minimal input DNA amounts based on coverage depths required for specific applications.

Indexed as

Reagent Kits, DiagnosticSequence Analysis, DNADNADNAReagent Kits, Diagnostic

Identifiers

PMID27220682
PMCPMC4879621
OpenAlexW2395017734

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.