Evidence map›Paper›PMID 21785137›Full record

ArticleNucleic acids research2011

Targeted bisulfite sequencing by solution hybrid selection and massively parallel sequencing.

Eun-Joon Lee, Lirong Pei, Gyan Srivastava, Trupti Joshi, Garima Kushwaha, Jeong-Hyeon Choi, Keith D Robertson, Xinguo Wang, John K Colbourne, Lu Zhang and 4 more

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
2.8field-weighted citation impact, top 9% 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

33 citing papers in PubMed, 66 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Article
  6. Molecular bases of responses to abiotic stress in trees.Journal of experimental botany · 2020
    Review
  7. Article
  8. Latest techniques to study DNA methylation.Essays in biochemistry · 2019
    Review
  9. Article
  10. Topological Characterization of Human and Mouse mInternational journal of genomics · 2018
    Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Highly sensitive targeted methylome sequencing by post-bisulfite adaptor tagging.DNA research : an international journal for rapid publication of reports on genes and genomes · 2015
    Article
  18. Article
  19. Review
  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

14 authors at 5 institutions in 1 country.

Eun-Joon LeeGHSU Cancer Center, Department of Biochemistry and Molecular Biology, Georgia Health Sciences University, Augusta, GA 30912, USA.
Lirong Pei
Gyan Srivastava
Trupti Joshi
Garima Kushwaha
Jeong-Hyeon Choi
Keith D Robertson
Xinguo Wang
John K Colbourne
Lu Zhang
Gary P Schroth
Dong Xu
Kun Zhang
Huidong Shi
David H. Murdock Research Institute · USAugusta University Health · USIndiana University Bloomington · USUniversity of California, San Diego · USUniversity of Missouri · US

Funding

Genome-scale anaylsis of DNA methylation in CpG Islands with bisulfite sequencingR01DA025779 · NIDA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SHI, HUIDONG, ZHANG, KUN · 2008 to 2011
$2.3M
Application of 454 Sequencing to Cancer EpigenomicsR33CA134304 · NCI · AUGUSTA UNIVERSITY · PI SHI, HUIDONG · 2009 to 2011
$942k
NCI NIH HHS CA134304NCI NIH HHS R33 CA134304NIDA NIH HHS DA025779
6 · The paper itself

Abstract

We applied a solution hybrid selection approach to the enrichment of CpG islands (CGIs) and promoter sequences from the human genome for targeted high-throughput bisulfite sequencing. A single lane of Illumina sequences allowed accurate and quantitative analysis of ~1 million CpGs in more than 21,408 CGIs and more than 15,946 transcriptional regulatory regions. Of the CpGs analyzed, 77-84% fell on or near capture probe sequences; 69-75% fell within CGIs. More than 85% of capture probes successfully yielded quantitative DNA methylation information of targeted regions. Differentially methylated regions (DMRs) were identified in the 5'-end regulatory regions, as well as the intra- and intergenic regions, particularly in the X-chromosome among the three breast cancer cell lines analyzed. We chose 46 candidate loci (762 CpGs) for confirmation with PCR-based bisulfite sequencing and demonstrated excellent correlation between two data sets. Targeted bisulfite sequencing of three DNA methyltransferase (DNMT) knockout cell lines and the wild-type HCT116 colon cancer cell line revealed a significant decrease in CpG methylation for the DNMT1 knockout and DNMT1, 3B double knockout cell lines, but not in DNMT3B knockout cell line. We demonstrated the targeted bisulfite sequencing approach to be a powerful method to uncover novel aberrant methylation in the cancer epigenome. Since all targets were captured and sequenced as a pool through a series of single-tube reactions, this method can be easily scaled up to deal with a large number of samples.

Indexed as

CpG IslandsDNA MethylationHigh-Throughput Nucleotide SequencingSulfitesCell Line, TumorDNA (Cytosine-5-)-MethyltransferasesGene Knockout TechniquesHumansNucleic Acid HybridizationPromoter Regions, GeneticSequence Analysis, DNADNA (Cytosine-5-)-Methyltransferasessodium bisulfiteSulfites

Identifiers

PMID21785137
PMCPMC3201883
OpenAlexW2061231896

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.