Evidence map›Paper›PMID 42681390›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2026

Analysis of mtDNA Methylation.

Camila Bruna de Lima, Marc-André Sirard

Abstract read
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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Camila Bruna de LimaCentre de Recherche en Reproduction, Développement et Santé Intergénérationnelle (CRDSI), Département des Sciences Animales, Université Laval, Québec City, QC, G1V 0A6, Canada.
Marc-André SirardCentre de Recherche en Reproduction, Développement et Santé Intergénérationnelle (CRDSI), Département des Sciences Animales, Université Laval, Québec City, QC, G1V 0A6, Canada. Marc-Andre.Sirard@fsaa.ulaval.ca.ORCID http://orcid.org/0000-0001-8667-6682

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Whole-genome methyl sequencing facilitates the characterization of DNA methylation profiles within a reference genome. Recent identification of mitochondrial DNA (mtDNA) as an additional regulatory pathway within embryos paves the way for examining the impact of assisted reproductive technologies and other environmental factors on gamete and embryo developmental programming. Here, we describe the protocol for preparing libraries tailored to detect cytosine methylation in mtDNA extracted from minimal input, typical of experiments involving reproductive samples such as oocytes and embryos.

Indexed as

DNA MethylationDNA, MitochondrialAnimalsCytosineEpigenesis, GeneticHumansMitochondriaOocytesSequence Analysis, DNACytosineDNA, MitochondrialCytosine methylationEpigeneticsMitochondriamtDNA

Identifiers

What OpenQuestion holds

Textmetadata
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.