Evidence map›Paper›PMID 31471598›Full record

ArticleNature protocols2019

Preparation of cfMeDIP-seq libraries for methylome profiling of plasma cell-free DNA.

Shu Yi Shen, Justin M Burgener, Scott V Bratman, Daniel D De Carvalho

Registry-linked trialAbstract read
PubMed Publisher
In one paragraph

Article in Nature protocols, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04241237 (Concordance Between Liquid and Tissue Biopsy in Newly Diagnosed Metastatic Breast Cancer), which is not on this map. Cited by 122 papers.

0numbers the graph read from it
0cells of the map it votes in
122citing 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.

NCT04241237 unknown statusnot on this mapstarted 2020, after this paper: background citation

Concordance Between Liquid and Tissue Biopsy in Newly Diagnosed Metastatic Breast Cancer

TypeobservationalSponsorLondon Health Sciences Centre Research Institute OR Lawson Research Institute of St. Joseph'sRan2020 to 2022Enrolled120ConditionsBreast NeoplasmsArmsBlood Draw
3 · Its place in the literature

Who cites it

122 citing papers in PubMed.

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62 more citing papers are in PubMed but not listed here.

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

4 authors.

Shu Yi Shen *Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada.ORCID http://orcid.org/0000-0001-7036-2291
Justin M Burgener *Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada.ORCID http://orcid.org/0000-0001-9522-8865
Scott V BratmanPrincess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada.ORCID http://orcid.org/0000-0001-8610-4908
Daniel D De CarvalhoPrincess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada. daniel.decarvalho@uhnresearch.ca.ORCID http://orcid.org/0000-0002-8572-5259

Funding

CIHR
6 · The paper itself

Abstract

Circulating cell-free DNA (cfDNA) comprises small DNA fragments derived from normal and tumor tissue that are released into the bloodstream. Recently, methylation profiling of cfDNA as a liquid biopsy tool has been gaining prominence due to the presence of tissue-specific markers in cfDNA. We have previously reported cell-free methylated DNA immunoprecipitation and high-throughput sequencing (cfMeDIP-seq) as a sensitive, low-input, cost-efficient and bisulfite-free approach to profiling DNA methylomes of plasma cfDNA. cfMeDIP-seq is an extension of a previously published MeDIP-seq protocol and is adapted to allow for methylome profiling of samples with low input (ranging from 1 to 10 ng) of DNA, which is enabled by the addition of 'filler DNA' before immunoprecipitation. This protocol is not limited to plasma cfDNA; it can also be applied to other samples that are naturally sheared and at low availability (e.g., urinary cfDNA and cerebrospinal fluid cfDNA), and is potentially applicable to other applications beyond cancer detection, including prenatal diagnostics, cardiology and monitoring of immune response. The protocol presented here should enable any standard molecular laboratory to generate cfMeDIP-seq libraries from plasma cfDNA in ~3-4 d.

Indexed as

DNA MethylationCell-Free Nucleic AcidsComputational BiologyGene LibraryHigh-Throughput Nucleotide SequencingHumansImmunoprecipitationWorkflowCell-Free Nucleic Acids

Identifiers

What OpenQuestion holds

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Registered trials

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.