Evidence map›Paper›PMID 29941872›Full record

ArticleNature methods2018

A reassessment of DNA-immunoprecipitation-based genomic profiling.

Antonio Lentini, Cathrine Lagerwall, Svante Vikingsson, Heidi K Mjoseng, Karolos Douvlataniotis, Hartmut Vogt, Henrik Green, Richard R Meehan, Mikael Benson, Colm E Nestor

Abstract read
In one paragraph

Article in Nature methods, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers.

0numbers the graph read from it
0cells of the map it votes in
58citing 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

58 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Sequencing of NMolecular cell · 2024
    Article
  12. Review
  13. Article
  14. Shaping eukaryotic epigenetic systems by horizontal gene transfer.BioEssays : news and reviews in molecular, cellular and developmental biology · 2023
    Article
  15. Review
  16. Mammalian DNA NMolecular cell · 2023
    Review
  17. Article
  18. Article
  19. Article
  20. Review
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

10 authors.

Antonio LentiniDivision of Pediatrics, Department of Clinical and Experimental Medicine, Linköping University, Linköping, Sweden.ORCID http://orcid.org/0000-0003-1239-5495
Cathrine LagerwallDivision of Pediatrics, Department of Clinical and Experimental Medicine, Linköping University, Linköping, Sweden.
Svante VikingssonDivision of Drug Research, Department of Medical and Health Sciences, Linköping University, Linköping, Sweden.
Heidi K MjosengMRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK.
Karolos DouvlataniotisDivision of Pediatrics, Department of Clinical and Experimental Medicine, Linköping University, Linköping, Sweden.ORCID http://orcid.org/0000-0002-5511-2232
Hartmut VogtDivision of Pediatrics, Department of Clinical and Experimental Medicine, Linköping University, Linköping, Sweden.
Henrik GreenDivision of Drug Research, Department of Medical and Health Sciences, Linköping University, Linköping, Sweden.
Richard R MeehanMRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK.ORCID http://orcid.org/0000-0001-6471-6882
Mikael BensonDivision of Pediatrics, Department of Clinical and Experimental Medicine, Linköping University, Linköping, Sweden.
Colm E NestorDivision of Pediatrics, Department of Clinical and Experimental Medicine, Linköping University, Linköping, Sweden. colm.nestor@liu.se.ORCID http://orcid.org/0000-0001-5853-1769

Funding

Medical Research Council MC_PC_U127574433Medical Research Council MC_UU_00007/17
6 · The paper itself

Abstract

DNA immunoprecipitation followed by sequencing (DIP-seq) is a common enrichment method for profiling DNA modifications in mammalian genomes. However, the results of independent DIP-seq studies often show considerable variation between profiles of the same genome and between profiles obtained by alternative methods. Here we show that these differences are primarily due to the intrinsic affinity of IgG for short unmodified DNA repeats. This pervasive experimental error accounts for 50-99% of regions identified as 'enriched' for DNA modifications in DIP-seq data. Correction of this error profoundly altered DNA-modification profiles for numerous cell types, including mouse embryonic stem cells, and subsequently revealed novel associations among DNA modifications, chromatin modifications and biological processes. We conclude that both matched input and IgG controls are essential in order for the results of DIP-based assays to be interpreted correctly, and that complementary, non-antibody-based techniques should be used to validate DIP-based findings to avoid further misinterpretation of genome-wide profiling data.

Indexed as

AnimalsCpG IslandsDNADNA FingerprintingDNA MethylationEmbryonic Stem CellsGenomeGenomicsHigh-Throughput Nucleotide SequencingImmunoglobulin GImmunoprecipitationMaleMiceSequence Analysis, DNADNAImmunoglobulin G

Identifiers

PMID29941872
PMCPMC6625966

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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.