Evidence map›Paper›PMID 27769162›Full record

ArticleBMC genomics2016

A comparative study of ChIP-seq sequencing library preparation methods.

Arvind Y M Sundaram, Timothy Hughes, Shea Biondi, Nathalie Bolduc, Sarah K Bowman, Andrew Camilli, Yap C Chew, Catherine Couture, Andrew Farmer, John P Jerome and 7 more

Abstract read
In one paragraph

Article in BMC genomics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Article
  3. ChIP-Seq Assays from Mammalian Cartilage and Chondrocytes.Methods in molecular biology (Clifton, N.J.) · 2021
    Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. 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

17 authors.

Arvind Y M SundaramDepartment of Medical Genetics, Oslo University Hospital and University of Oslo, Oslo, Norway.
Timothy HughesDepartment of Medical Genetics, Oslo University Hospital and University of Oslo, Oslo, Norway.
Shea BiondiZymo Research Corp., 7062 Murphy Ave., Irvine, CA, 92614, USA.
Nathalie BolducTakara Bio USA, Inc., 1290 Terra Bella Avenue, Mountain View, 94043, CA, USA.
Sarah K BowmanMass. General Hospital, Mol. Biol., Harvard Medical School, 185 Cambridge St, CPZN 7250, Boston, 02114, MA, USA.
Andrew CamilliDepartment Molecular Biology & Microbiology and Howard Hughes Medical Institute, Tufts University, 136 Harrison Avenue, Boston, 02111, MA, USA.
Yap C ChewZymo Research Corp., 7062 Murphy Ave., Irvine, CA, 92614, USA.
Catherine CoutureSwift Biosciences, Inc., Suite 100, 58 Parkland Plaza, Ann Arbor, 48103, MI, USA.
Andrew FarmerTakara Bio USA, Inc., 1290 Terra Bella Avenue, Mountain View, 94043, CA, USA.
John P JeromeRubicon Genomics, Inc., 4743 Venture Drive, Ann Arbor, 48108, MI, USA.
David W LazinskiDepartment Molecular Biology & Microbiology and Howard Hughes Medical Institute, Tufts University, 136 Harrison Avenue, Boston, 02111, MA, USA.
Andrew McUsicSwift Biosciences, Inc., Suite 100, 58 Parkland Plaza, Ann Arbor, 48103, MI, USA.
Xu PengSingapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR), 117609, Singapore, Republic of Singapore.
Kamran ShazandRubicon Genomics, Inc., 4743 Venture Drive, Ann Arbor, 48108, MI, USA.
Feng XuSingapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR), 117609, Singapore, Republic of Singapore.
Robert LyleDepartment of Medical Genetics, Oslo University Hospital and University of Oslo, Oslo, Norway. robert.lyle@medisin.uio.no.
Gregor D GilfillanDepartment of Medical Genetics, Oslo University Hospital and University of Oslo, Oslo, Norway. gregor.gilfillan@medisin.uio.no.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChIP-seq is the primary technique used to investigate genome-wide protein-DNA interactions. As part of this procedure, immunoprecipitated DNA must undergo "library preparation" to enable subsequent high-throughput sequencing. To facilitate the analysis of biopsy samples and rare cell populations, there has been a recent proliferation of methods allowing sequencing library preparation from low-input DNA amounts. However, little information exists on the relative merits, performance, comparability and biases inherent to these procedures. Notably, recently developed single-cell ChIP procedures employing microfluidics must also employ library preparation reagents to allow downstream sequencing.

resultsIn this study, seven methods designed for low-input DNA/ChIP-seq sample preparation (Accel-NGS® 2S, Bowman-method, HTML-PCR, SeqPlex™, DNA SMART™, TELP and ThruPLEX®) were performed on five replicates of 1 ng and 0.1 ng input H3K4me3 ChIP material, and compared to a "gold standard" reference PCR-free dataset. The performance of each method was examined for the prevalence of unmappable reads, amplification-derived duplicate reads, reproducibility, and for the sensitivity and specificity of peak calling.

conclusionsWe identified consistent high performance in a subset of the tested reagents, which should aid researchers in choosing the most appropriate reagents for their studies. Furthermore, we expect this work to drive future advances by identifying and encouraging use of the most promising methods and reagents. The results may also aid judgements on how comparable are existing datasets that have been prepared with different sample library preparation reagents.

Indexed as

Chromatin ImmunoprecipitationGene LibraryHigh-Throughput Nucleotide SequencingChromosome MappingGenomeGenomicsHumansReproducibility of ResultsSequence Analysis, DNAChromatin immunoprecipitationHTSLow-inputMicro-ChIPNGS

Identifiers

PMID27769162
PMCPMC5073829

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.