Evidence map›Paper›PMID 40888103›Full record

ArticleBiotechnology journal2025

Single-Cell Mitochondrial DNA Analysis of Recombinant Chinese Hamster Ovary Cells Reveals Widespread Heteroplasmy.

Alan Foley, Nga Lao, Ciara McGuirk, Colin Clarke, Niall Barron

Abstract read
In one paragraph

Article in Biotechnology journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

5 authors.

Alan FoleyCell Engineering Group, NIBRT, Dublin, Ireland.ORCID https://orcid.org/0000-0002-0535-9106
Nga LaoCell Engineering Group, NIBRT, Dublin, Ireland.ORCID https://orcid.org/0000-0002-7997-1568
Ciara McGuirkSchool of Chemical and Bioprocess Engineering, University College Dublin, Dublin, Ireland.
Colin ClarkeSchool of Chemical and Bioprocess Engineering, University College Dublin, Dublin, Ireland.ORCID https://orcid.org/0000-0003-2817-9527
Niall BarronCell Engineering Group, NIBRT, Dublin, Ireland.ORCID https://orcid.org/0000-0003-4602-326X

Funding

Marie Sklodowska-Curie Action of Horizon 2020 813453STACCATO
6 · The paper itself

Abstract

Recent bulk analysis of Chinese hamster ovary (CHO) cell mitochondrial DNA revealed widespread heteroplasmy across cell lines and even within clones of the same parental host. To address this, we applied our previously developed single-cell mtDNA sequencing (scmtDNAseq) method to 84 single CHO cells. We identified widespread intercellular heteroplasmy across the CHO cell population and predicted possible phenotypic impacts. 3/11 (27%) of the most variable mutations were only identified by scmtDNAseq, indicating greater resolution when compared to bulk cell analysis. Single-cell RNAseq (scRNAseq) was also performed at the same time point and, compared to scmtDNAseq, significant differences in intercellular heteroplasmy were observed. Using an inducible mAb expression system demonstrated that short-term additional biosynthetic burden of exogenous protein production had little impact on intercellular heteroplasmy. We additionally monitored bulk heteroplasmy over 38 days, reflecting the typical timespan from vial thaw to production vessel in a Biopharmaceutical upstream cell culture process. We observed minimal change in heteroplasmy, finding no evidence that a mAb-producing CHO cell line develops impactful changes in heteroplasmy over that timeframe. This would suggest that for our cell line, the heteroplasmy profile established on Day 1 should be maintained throughout a full fed-batch bioprocess run.

Indexed as

DNA, MitochondrialHeteroplasmySingle-Cell AnalysisAnimalsCHO CellsCricetinaeCricetulusMutationSequence Analysis, DNADNA, MitochondrialCHOheteroplasmymtDNAscmtDNAseqsingle cell

Identifiers

PMID40888103
PMCPMC12400128

What Socratic 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 Socratic graph.