Evidence map›Paper›PMID 34565768›Full record

ArticleCell structure and function2021

Visualization of DNA Replication in Single Chromosome by Stable Isotope Labeling.

Kosuke Nagata, Ken-Ichi Bajo, Hideyuki Mitomo, Ryosuke Fujita, Ryota Uehara, Kuniharu Ijiro, Hisayoshi Yurimoto

Open access · goldAbstract read
In one paragraph

Article in Cell structure and function, 2021. 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, top 89% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

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

7 authors at 3 institutions in 2 countries.

Kosuke NagataNatural History Sciences, Hokkaido University.
Ken-Ichi BajoNatural History Sciences, Hokkaido University.
Hideyuki MitomoResearch Institute for Electronic Science (RIES), Hokkaido University.
Ryosuke FujitaLaboratory of Sanitary Entomology, Department of Bioresource Science, Faculty of Agriculture, Kyushu University.
Ryota UeharaGraduate School of Life Science, Hokkaido University.
Kuniharu IjiroResearch Institute for Electronic Science (RIES), Hokkaido University.
Hisayoshi YurimotoNatural History Sciences, Hokkaido University.
Hokkaido University · JPCollaborative Research Group · AUKyushu University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Among the inheritance of cellular components during cell division, deoxyribonucleic acid (DNA) and its condensate (chromosome) are conventionally visualized using chemical tag-labeled nucleotide analogs. However, associated mutagenesis with nucleotide analogs in the visualization of chromosomes is cause for concern. This study investigated the efficiency of using stable isotope labels in visualizing the replicating cultured human cell-chromosomes, in the absence of analog labels, at a high spatial resolution of 100 nm. The distinct carbon isotope ratio between sister chromatids reflected the semi-conservative replication of individual DNA strands through cell cycles and suggested the renewal of histone molecules in daughter chromosomes. Thus, this study provides a new, powerful approach to trace and visualize cellular components with stable isotope labeling.Key words: stable isotope, chromosome replication, semi-conservative replication, imaging, mass spectrometry.

Indexed as

ChromatidsDNA ReplicationCarbon IsotopesCell DivisionHumansIsotope LabelingCarbon Isotopeschromosome replicationimagingmass spectrometrysemi-conservative replicationstable isotope

Identifiers

PMID34565768
PMCPMC10511050
OpenAlexW3204754300

What OpenQuestion holds

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LicenceCC BY
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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.