Evidence map›Paper›PMID 27122135›Full record

ArticleScientific reports2016

Digital PCR methods improve detection sensitivity and measurement precision of low abundance mtDNA deletions.

Frances R Belmonte, James L Martin, Kristin Frescura, Joana Damas, Filipe Pereira, Mark A Tarnopolsky, Brett A Kaufman

Open access · goldAbstract readEvaluation Study
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed
4.5field-weighted citation impact, top 5% 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

49 citing papers in PubMed, 85 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Review
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
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

7 authors at 4 institutions in 4 countries.

Frances R BelmonteUniversity of Pittsburgh School of Medicine, Division of Cardiology, Center for Metabolism and Mitochondrial Medicine and Vascular Medicine Institute, Pittsburgh, PA, 15261, United States.
James L MartinUniversity of Pittsburgh School of Medicine, Division of Cardiology, Center for Metabolism and Mitochondrial Medicine and Vascular Medicine Institute, Pittsburgh, PA, 15261, United States.
Kristin FrescuraDepartments of Pediatrics and Medicine, McMaster University Medical Center, Hamilton, ON, L8N 3Z5, Canada.
Joana DamasDepartment of Comparative Biomedical Sciences, Royal Veterinary College, London, UK.
Filipe PereiraInterdisciplinary Centre of Marine and Environmental Research (CIIMAR), University of Porto, Porto, Portugal.
Mark A TarnopolskyDepartments of Pediatrics and Medicine, McMaster University Medical Center, Hamilton, ON, L8N 3Z5, Canada.
Brett A KaufmanUniversity of Pittsburgh School of Medicine, Division of Cardiology, Center for Metabolism and Mitochondrial Medicine and Vascular Medicine Institute, Pittsburgh, PA, 15261, United States.
University of Pittsburgh · USMcMaster University Medical Centre · CARoyal Veterinary College · GBUniversidade do Porto · PT

Funding

T32 Research Training in Diabetes and EndocrinologyT32DK007052 · NIDDK · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI ROBERT M O'DOHERTY · 1986 to 2026
$6.3M
Molecular mechanisms of mitochondrial DNA deletion formationR01GM110424 · NIGMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI KAUFMAN, BRETT A · 2015 to 2019
$1.9M
NIDDK NIH HHS T32 DK007052NIGMS NIH HHS R01 GM110424
6 · The paper itself

Abstract

Mitochondrial DNA (mtDNA) mutations are a common cause of primary mitochondrial disorders, and have also been implicated in a broad collection of conditions, including aging, neurodegeneration, and cancer. Prevalent among these pathogenic variants are mtDNA deletions, which show a strong bias for the loss of sequence in the major arc between, but not including, the heavy and light strand origins of replication. Because individual mtDNA deletions can accumulate focally, occur with multiple mixed breakpoints, and in the presence of normal mtDNA sequences, methods that detect broad-spectrum mutations with enhanced sensitivity and limited costs have both research and clinical applications. In this study, we evaluated semi-quantitative and digital PCR-based methods of mtDNA deletion detection using double-stranded reference templates or biological samples. Our aim was to describe key experimental assay parameters that will enable the analysis of low levels or small differences in mtDNA deletion load during disease progression, with limited false-positive detection. We determined that the digital PCR method significantly improved mtDNA deletion detection sensitivity through absolute quantitation, improved precision and reduced assay standard error.

Indexed as

Sequence DeletionCell LineDNA, MitochondrialHumansMitochondrial DiseasesPolymerase Chain ReactionSensitivity and SpecificityDNA, Mitochondrial

Identifiers

PMID27122135
PMCPMC4848546
OpenAlexW2343983545

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.