Evidence map›Paper›PMID 35272673›Full record

ArticleClinical epigenetics2022

SEEMLIS: a flexible semi-automated method for enrichment of methylated DNA from low-input samples.

Tamara S Rodems, Duane S Juang, Charlotte N Stahlfeld, Cole S Gilsdorf, Tim E G Krueger, Erika Heninger, Shuang G Zhao, Jamie M Sperger, David J Beebe, Michael C Haffner and 1 more

Open access · goldAbstract read
In one paragraph

Article in Clinical epigenetics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.4field-weighted citation impact, top 43% 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

3 citing papers in PubMed, 7 citations in OpenAlex.

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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

11 authors at 4 institutions in 1 country.

Tamara S RodemsUniversity of Wisconsin Carbone Cancer Center, Madison, 1111 Highland Ave., Madison, WI, 53705, USA.
Duane S JuangDepartment of Pathology, University of Washington, 1959 NE Pacific St., Seattle, WA, 98195, USA.
Charlotte N StahlfeldUniversity of Wisconsin Carbone Cancer Center, Madison, 1111 Highland Ave., Madison, WI, 53705, USA.
Cole S GilsdorfUniversity of Wisconsin Carbone Cancer Center, Madison, 1111 Highland Ave., Madison, WI, 53705, USA.
Tim E G KruegerUniversity of Wisconsin Carbone Cancer Center, Madison, 1111 Highland Ave., Madison, WI, 53705, USA.
Erika HeningerUniversity of Wisconsin Carbone Cancer Center, Madison, 1111 Highland Ave., Madison, WI, 53705, USA.
Shuang G ZhaoDepartment of Human Oncology, University of Wisconsin, Madison, 1111 Highland Ave., Madison, WI, 53705, USA.
Jamie M SpergerUniversity of Wisconsin Carbone Cancer Center, Madison, 1111 Highland Ave., Madison, WI, 53705, USA.
David J BeebeUniversity of Wisconsin Carbone Cancer Center, Madison, 1111 Highland Ave., Madison, WI, 53705, USA.
Michael C HaffnerDivisions of Human Biology and Clinical Research, Fred Hutchinson Cancer Research Center, 1100 Fairview Ave, N., Seattle, WA, 98109, USA.
Joshua M LangUniversity of Wisconsin Carbone Cancer Center, Madison, 1111 Highland Ave., Madison, WI, 53705, USA. jmlang@medicine.wisc.edu.ORCID 0000-0002-0943-8872
University of Wisconsin–Madison · USUniversity of Wisconsin Carbone Cancer Center · USJohns Hopkins University · USUniversity of Washington · US

Funding

UW COMPREHENSIVE CANCER CENTER SUPPORTP30CA014520 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI Christian Capitini · 1985 to 2026
$142.6M
Enhancing Epigenetic Analysis Of Rare Cells With Multi-Phase MicrofluidicsR01CA247479 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI BEEBE, DAVID J, LANG, JOSHUA MICHAEL · 2020 to 2024
$3.1M
NCI NIH HHS P30 CA014520NCI NIH HHS R01 CA247479Office of the Assistant Secretary for Health W81XWH-17-1-0096Prostate Cancer Foundation 17CHAL15
6 · The paper itself

Abstract

backgroundDNA methylation alterations have emerged as hallmarks of cancer and have been proposed as screening, prognostic, and predictive biomarkers. Traditional approaches for methylation analysis have relied on bisulfite conversion of DNA, which can damage DNA and is not suitable for targeted gene analysis in low-input samples. Here, we have adapted methyl-CpG-binding domain protein 2 (MBD2)-based DNA enrichment for use on a semi-automated exclusion-based sample preparation (ESP) platform for robust and scalable enrichment of methylated DNA from low-input samples, called SEEMLIS.

resultsWe show that combining methylation-sensitive enzyme digestion with ESP-based MBD2 enrichment allows for single gene analysis with high sensitivity for GSTP1 in highly impure, heterogenous samples. We also show that ESP-based MBD2 enrichment coupled with targeted pre-amplification allows for analysis of multiple genes with sensitivities approaching the single cell level in pure samples for GSTP1 and RASSF1 and sensitivity down to 14 cells for these genes in highly impure samples. Finally, we demonstrate the potential clinical utility of SEEMLIS by successful detection of methylated gene signatures in circulating tumor cells (CTCs) from patients with prostate cancer with varying CTC number and sample purity.

conclusionsSEEMLIS is a robust assay for targeted DNA methylation analysis in low-input samples, with flexibility at multiple steps. We demonstrate the feasibility of this assay to analyze DNA methylation in prostate cancer cells using CTCs from patients with prostate cancer as a real-world example of a low-input analyte of clinical importance. In summary, this novel assay provides a platform for determining methylation signatures in rare cell populations with broad implications for research as well as clinical applications.

Indexed as

DNA MethylationProstatic NeoplasmsCpG IslandsDNADNA-Binding ProteinsGlutathione S-Transferase piHumansMalePrognosisDNADNA-Binding ProteinsGlutathione S-Transferase piMBD2 protein, humanCirculating tumor cellsDNA methylationLow-inputRare analyteSemi-automation

Identifiers

PMID35272673
PMCPMC8908705
OpenAlexW4220935417

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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.