Evidence map›Paper›PMID 36160046›Full record

ArticleCell reports methods2022

Sensitive and reproducible cell-free methylome quantification with synthetic spike-in controls.

Samantha L Wilson, Shu Yi Shen, Lauren Harmon, Justin M Burgener, Tim Triche, Scott V Bratman, Daniel D De Carvalho, Michael M Hoffman

Open access · goldAbstract read
In one paragraph

Article in Cell reports methods, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
0.7field-weighted citation impact, top 33% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.

  1. Pooled it
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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

8 authors at 2 institutions in 2 countries.

Samantha L WilsonPrincess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada.
Shu Yi ShenPrincess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada.
Lauren HarmonVan Andel Institute, Grand Rapids, MI, USA.
Justin M BurgenerPrincess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada.
Tim TricheVan Andel Institute, Grand Rapids, MI, USA.
Scott V BratmanPrincess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada.
Daniel D De CarvalhoPrincess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada.
Michael M HoffmanPrincess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada.
University Health Network · CAVan Andel Institute · US

Funding

CIHR 389866
6 · The paper itself

Abstract

Cell-free methylated DNA immunoprecipitation sequencing (cfMeDIP-seq) identifies genomic regions with DNA methylation, using a protocol adapted to work with low-input DNA samples and with cell-free DNA (cfDNA). We developed a set of synthetic spike-in DNA controls for cfMeDIP-seq to provide a simple and inexpensive reference for quantitative normalization. We designed 54 DNA fragments with combinations of methylation status (methylated and unmethylated), fragment length (80 bp, 160 bp, 320 bp), G + C content (35%, 50%, 65%), and fraction of CpG dinucleotides within the fragment (1/80 bp, 1/40 bp, 1/20 bp). Using 0.01 ng of spike-in controls enables training a generalized linear model that absolutely quantifies methylated cfDNA in MeDIP-seq experiments. It mitigates batch effects and corrects for biases in enrichment due to known biophysical properties of DNA fragments and other technical biases.

Indexed as

Cell-Free Nucleic AcidsEpigenomeDNADNA MethylationGenomicsCell-Free Nucleic AcidsDNAabsolute quantificationbatch effectscell-free DNAcell-free methylated DNA immunoprecipitationcfDNAcfMeDIPDNA methylationearly detection of cancerliquid biopsyminimally invasive testingreference standardsspike-in controls

Identifiers

PMID36160046
PMCPMC9499995
OpenAlexW4295136672

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.