Evidence map›Paper›PMID 26956645›Full record

ArticleMitochondrion2016

Mitochondria single nucleotide variation across six blood cell types.

Pan Zhang, David C Samuels, Jing Wang, Shilin Zhao, Yu Shyr, Yan Guo

Abstract readComparative Study
In one paragraph

Article in Mitochondrion, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. 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.

Pan ZhangDepartment of Cancer Biology, Vanderbilt University, Nashville, TN 37232, USA.
David C SamuelsDepartment of Molecular Physiology and Biophysics, Vanderbilt University, Nashville, TN 37232, USA.
Jing WangDepartment of Cancer Biology, Vanderbilt University, Nashville, TN 37232, USA.
Shilin ZhaoDepartment of Cancer Biology, Vanderbilt University, Nashville, TN 37232, USA.
Yu ShyrDepartment of Biostatistics, Vanderbilt University, Nashville, TN 37232, USA.
Yan GuoDepartment of Cancer Biology, Vanderbilt University, Nashville, TN 37232, USA.

Funding

Tumor Immunology and Microenvironment Research ProgramP30CA068485 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI MATTHEW J TYSKA · 1995 to 2026
$172.8M
Barrett's Esophagus Translational Research Network Coordinating CenterU01CA163056 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI SHYR, YU · 2011 to 2016
$2.2M
NCI NIH HHS P30 CA068485NCI NIH HHS U01 CA163056
6 · The paper itself

Abstract

It has been shown that heteroplasmic mitochondrial DNA variants can be tissue specific. However, whether mitochondrial DNA variants are specific by blood cell types has not been investigated. Motivated by this question and using mitochondria sequences extracted from RNAseq data from six distinct blood cell types (neutrophil, monocyte, myeloid dendritic, natural killer, T and B), we thoroughly compared SNPs and heteroplasmies among these cell types. Each cell type from each subject was sequenced at four time points used as biological replicates. We found that mitochondria content is low in neutrophil compared to the other five blood cell types. Subsequent analysis on the other five blood cell types showed that at the SNP level, there was no discrepancy. At the heteroplasmy level, we observed good concordances among all blood cell types. However, the allele frequencies of the heteroplasmy differed between blood cell types for certain heteroplasmic sites. Furthermore, we identified five tri-allelic sites (1610, 2617, 8303, 12146, 13710) that are likely caused by RNA editing. Three out of these five sites are located at the ninth position of tRNA genes, and are likely resulting from post-transcriptional methylation.

Indexed as

Blood CellsPolymorphism, Single NucleotideDNA, MitochondrialGene FrequencyHumansMitochondriaSequence Analysis, DNADNA, MitochondrialBlood cellHeteroplasmyMitochondriaRNA editingSNP

Identifiers

PMID26956645
PMCPMC5755964

What OpenQuestion holds

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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.