Evidence map›Paper›PMID 29268714›Full record

ArticleBMC genomics2017

Purification of nanogram-range immunoprecipitated DNA in ChIP-seq application.

Jian Zhong, Zhenqing Ye, Samuel W Lenz, Chad R Clark, Adil Bharucha, Gianrico Farrugia, Keith D Robertson, Zhiguo Zhang, Tamas Ordog, Jeong-Heon Lee

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
1.8field-weighted citation impact, top 14% 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

31 citing papers in PubMed, 56 citations in OpenAlex.

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  7. GWAS elucidated grain yield genetics in Indian spring wheat under diverse water conditions.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024
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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

10 authors at 4 institutions in 2 countries.

Jian ZhongEpigenomics Development Laboratory, Epigenomics Program, Center for Individualized Medicine, Mayo Clinic, Rochester, MN, 55905, USA.
Zhenqing YeDivision of Biomedical Statistics and Informatics, Department of Health Science Research, Mayo Clinic, Rochester, MN, 55905, USA.
Samuel W LenzEpigenomics Development Laboratory, Epigenomics Program, Center for Individualized Medicine, Mayo Clinic, Rochester, MN, 55905, USA.
Chad R ClarkEpigenomics Development Laboratory, Epigenomics Program, Center for Individualized Medicine, Mayo Clinic, Rochester, MN, 55905, USA.
Adil BharuchaDivision of Gastroenterology and Hepatology, Department of Medicine, Mayo Clinic, Rochester, MN, 55905, USA.
Gianrico FarrugiaEnteric Neuroscience Program, Mayo Clinic, Rochester, MN, 55905, USA.
Keith D RobertsonDepartment of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, Rochester, MN, 55905, USA.
Zhiguo ZhangDepartment of Pediatrics and Department of Genetics and Development, Institute for Cancer Genetics, Columbia University, New York, NY, 10032, USA.
Tamas OrdogDivision of Gastroenterology and Hepatology, Department of Medicine, Mayo Clinic, Rochester, MN, 55905, USA.
Jeong-Heon LeeEpigenomics Development Laboratory, Epigenomics Program, Center for Individualized Medicine, Mayo Clinic, Rochester, MN, 55905, USA. Lee.JeongHeon@mayo.edu.ORCID 0000-0003-4007-9166
Mayo Clinic · USMayo Clinic in Florida · USCancer Genetics (United States) · USMayo Clinic in Arizona · US

Funding

Physiological Characterization and Data Integration CoreP01DK068055 · NIDDK · MAYO CLINIC ROCHESTER · PI FARRUGIA, GIANRICO · 2004 to 2019
$23.8M
Interstitial Cells of Cajal in Diabetic GastropathyR01DK058185 · NIDDK · UNIVERSITY OF NEVADA RENO · PI ORDOG, TAMAS · 2002 to 2020
$5.2M
NIDDK NIH HHS P01 DK068055NIDDK NIH HHS R01 DK058185NIH HHS P01DK068055
6 · The paper itself

Abstract

backgroundChromatin immunoprecipitation-sequencing (ChIP-seq) is a widely used epigenetic approach for investigating genome-wide protein-DNA interactions in cells and tissues. The approach has been relatively well established but several key steps still require further improvement. As a part of the procedure, immnoprecipitated DNA must undergo purification and library preparation for subsequent high-throughput sequencing. Current ChIP protocols typically yield nanogram quantities of immunoprecipitated DNA mainly depending on the target of interest and starting chromatin input amount. However, little information exists on the performance of reagents used for the purification of such minute amounts of immunoprecipitated DNA in ChIP elution buffer and their effects on ChIP-seq data. Here, we compared DNA recovery, library preparation efficiency, and ChIP-seq results obtained with several commercial DNA purification reagents applied to 1 ng ChIP DNA and also investigated the impact of conditions under which ChIP DNA is stored.

resultsWe compared DNA recovery of ten commercial DNA purification reagents and phenol/chloroform extraction from 1 to 50 ng of immunopreciptated DNA in ChIP elution buffer. The recovery yield was significantly different with 1 ng of DNA while similar in higher DNA amounts. We also observed that the low nanogram range of purified DNA is prone to loss during storage depending on the type of polypropylene tube used. The immunoprecipitated DNA equivalent to 1 ng of purified DNA was subject to DNA purification and library preparation to evaluate the performance of four better performing purification reagents in ChIP-seq applications. Quantification of library DNAs indicated the selected purification kits have a negligible impact on the efficiency of library preparation. The resulting ChIP-seq data were comparable with the dataset generated by ENCODE consortium and were highly correlated between the data from different purification reagents.

conclusionsThis study provides comparative data on commercial DNA purification reagents applied to nanogram-range immunopreciptated ChIP DNA and evidence for the importance of storage conditions of low nanogram-range purified DNA. We verified consistent high performance of a subset of the tested reagents. These results will facilitate the improvement of ChIP-seq methodology for low-input applications.

Indexed as

Chromatin ImmunoprecipitationSequence Analysis, DNADNAHeLa CellsHumansIndicators and ReagentsPreservation, BiologicalDNAIndicators and ReagentsChIP-seqDNA purificationDNA storageNanogram DNA

Identifiers

PMID29268714
PMCPMC5740926
OpenAlexW2776532474

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.