Evidence map›Paper›PMID 32755621›Full record

ArticleMethods (San Diego, Calif.)2021

Targeted bisulfite sequencing for biomarker discovery.

Marco Morselli, Colin Farrell, Liudmilla Rubbi, Heather L Fehling, Rebecca Henkhaus, Matteo Pellegrini

Open access · greenAbstract read
In one paragraph

Article in Methods (San Diego, Calif.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed
2.2field-weighted citation impact, top 12% 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

40 citing papers in PubMed, 65 citations in OpenAlex.

  1. Review
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  6. Frailty in lung transplant recipients is associated with anemia and telomere dysfunction but independent of epigenetic age.American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons · 2025
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  17. Tissue informative cell-free DNA methylation sites in amyotrophic lateral sclerosis.medRxiv : the preprint server for health sciences · 2024
    Article
  18. Article
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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

6 authors at 2 institutions in 1 country.

Marco MorselliDepartment of Molecular, Cell and Developmental Biology, University of California Los Angeles, Los Angeles, CA 90095, United States; UCLA-DOE Institute for Genomics and Proteomics, University of California Los Angeles, Los Angeles, CA 90095, United States; Institute for Quantitative and Computational Biosciences - The Collaboratory, University of California Los Angeles, Los Angeles, CA 90095, United States. Electronic address: mmorselli@ucla.edu.
Colin FarrellDepartment of Molecular, Cell and Developmental Biology, University of California Los Angeles, Los Angeles, CA 90095, United States. Electronic address: colinpfarrell@gmail.com.
Liudmilla RubbiDepartment of Molecular, Cell and Developmental Biology, University of California Los Angeles, Los Angeles, CA 90095, United States. Electronic address: lrubbi@mcdb.ucla.edu.
Heather L FehlingClinical Reference Laboratory, Inc., Lenexa, KS 66215, United States. Electronic address: Heather.Fehling@crlcorp.com.
Rebecca HenkhausClinical Reference Laboratory, Inc., Lenexa, KS 66215, United States. Electronic address: Rebecca.Henkhaus@crlcorp.com.
Matteo PellegriniDepartment of Molecular, Cell and Developmental Biology, University of California Los Angeles, Los Angeles, CA 90095, United States; UCLA-DOE Institute for Genomics and Proteomics, University of California Los Angeles, Los Angeles, CA 90095, United States; Institute for Quantitative and Computational Biosciences - The Collaboratory, University of California Los Angeles, Los Angeles, CA 90095, United States. Electronic address: matteop@mcdb.ucla.edu.
QB3 · USUniversity of California, Los Angeles · US

Funding

Validation and optimization of epigenetic clocksU01AG060908 · NIA · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI RITZ, BEATE R. · 2018 to 2022
$3.4M
Biomedical Big Data Training GrantT32CA201160 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI PELLEGRINI, MATTEO · 2015 to 2015
$264k
NCI NIH HHS T32 CA201160NIA NIH HHS U01 AG060908
6 · The paper itself

Abstract

Cytosine methylation is one of the best studied epigenetic modifications. In mammals, DNA methylation patterns vary among cells and is mainly found in the CpG context. DNA methylation is involved in important processes during development and differentiation and its dysregulation can lead to or is associated with diseases, such as cancer, loss-of-imprinting syndromes and neurological disorders. It has been also shown that DNA methylation at the cellular, tissue and organism level varies with age. To overcome the costs of Whole-Genome Bisulfite Sequencing, the gold standard method to detect 5-methylcytosines at a single base resolution, DNA methylation arrays have been developed and extensively used. This method allows one to assess the status of a fraction of the CpG sites present in the genome of an organism. In order to combine the relatively low cost of Methylation Arrays and digital signals of bisulfite sequencing, we developed a Targeted Bisulfite Sequencing method that can be applied to biomarker discovery for virtually any phenotype. Here we describe a comprehensive step-by-step protocol to build a DNA methylation-based epigenetic clock.

Indexed as

DNA Methylation5-MethylcytosineAge FactorsAgingBiomarkersEpigenesis, GeneticEpigenomicsHigh-Throughput Nucleotide SequencingHumansModels, GeneticSequence Analysis, DNASulfites5-MethylcytosineBiomarkershydrogen sulfiteSulfitesBiomarker discoveryDNA methylationEpigenetic clockNext-generation sequencingTarget bisulfite-seq

Identifiers

PMID32755621
PMCPMC7855209
OpenAlexW3046503173

What OpenQuestion holds

Textmetadata
LicenceTDM
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.