Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 159

The DOI matches its Crossref record.

Mitochondrial DNA

Nass, Margit M.K.·1969·Journal of Molecular Biology

Abstract

The structure of the DNA of L-cell mitochondria was studied as it may relate to the organelle in vivo. Serial sections of mitochondria revealed two to three DNA-containing regions (nucleoids) per organelle; up to six regions were occasionally observed. Osmotic rupture of freshly isolated mitochondria released 2 to 4% circular DNA dimers (10.1μ, mol. wt 20 × 106) in a population of circular monomers (5.2 μ, mol. wt 10 × 106). The molecules were unbranched, usually folded in half, and either loosely coiled or extended. Most dimers were single circles, either lying free or attached at a polar region to another dimer or two monomers. It appears that each nucleoid may contain one to several monomers and dimers, to yield an average total of two to six molecules per mitochondrion. About 80% of the monomers were associated at polar regions with the mitochondrial membranes; experiments were performed that reduced the possibility of artifact formation. Osmotically shocked mitochondria of ascites tumor cells and adult rat and chicken liver were also compared. The observed membrane associations and the multiplicity of DNA molecules per mitochondrion or per nucleoid may be related to mitochondrial duplication; the high degree of variation in number of molecules per mitochondrion implies redundancy of informational content.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/0022-2836(69)90240-x

Cites

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cited by

See all 159

Metadata

Authors
Nass, M. M. K.
Venue
Journal of Molecular Biology
Publisher
Elsevier BV
Published
1969-06
Volume
42
Issue
3
Pages
521-528
ISSN
0022-2836 (ISSN-L)
OpenAlex
W1548557487
Cited by
159
References
0
FWCI
6.57
Type
journal article
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Mitochondrial DNA. https://app.cochat.ai/papers/10.1016/0022-2836(69)90240-x
The paper
Nass, M. M. K. (1969). Mitochondrial DNA. Journal of Molecular Biology. https://doi.org/10.1016/0022-2836(69)90240-x

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.