Cited by 129Pluripotent Stem Cells ResearchCRISPR and Genetic EngineeringEpigenetics and DNA Methylation

Whole-genome mutational burden analysis of three pluripotency induction methods

Open access
Bhutani, Kunal, Nazor, Kristopher L., Williams, Roy, Tran, Ha, Dai, Heng, Džakula, Željko, Cho, Edward H., Pang, Andy W. C. +4 more·2016·Nature Communications

Abstract

There is concern that the stresses of inducing pluripotency may lead to deleterious DNA mutations in induced pluripotent stem cell (iPSC) lines, which would compromise their use for cell therapies. Here we report comparative genomic analysis of nine isogenic iPSC lines generated using three reprogramming methods: integrating retroviral vectors, non-integrating Sendai virus and synthetic mRNAs. We used whole-genome sequencing and de novo genome mapping to identify single-nucleotide variants, insertions and deletions, and structural variants. Our results show a moderate number of variants in the iPSCs that were not evident in the parental fibroblasts, which may result from reprogramming. There were only small differences in the total numbers and types of variants among different reprogramming methods. Most importantly, a thorough genomic analysis showed that the variants were generally benign. We conclude that the process of reprogramming is unlikely to introduce variants that would make the cells inappropriate for therapy.

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 · 10.1038/ncomms10536

Cites

2 of 2 references verified0 citation errors · 0 not checkable

Statistics

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

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • High reprogramming efficiency without genomic integration of the SeV vector was demonstrated commercially.

    “The high reprogramming efficiency without genomic integration of the SeV vector was also demonstrated commercially [140].”

    From Non-Integrating Lentiviral Vectors in Clinical Applications: A Glance Through (2022) · cites this paper as [140]

    The Discussion (page not provided) describes Sendai viral vectors as non-integrating delivery methods that have become more efficient. The Methods, under “Sendai virus reprogramming” (page not provided), report using a commercial Sendai kit to generate iPSC colonies. The paper does not establish that this commercial kit had high reprogramming efficiency. (LLM, conf=0.84)

    Experimental — accuracy not yet measured

Self-check

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

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

Cites

Flagged first, then by citations

Research works printed but not linked: 24

  1. Hussein S. M.. Copy number variation and selection during reprogramming to pluripotency. Nature 471, 58– 62 (2011). 21368824
  2. Mayshar Y.. Identification and classification of chromosomal aberrations in human induced pluripotent stem cells. Cell Stem Cell 7, 521– 531 (2010). 20887957
  3. Gore A.. Somatic coding mutations in human induced pluripotent stem cells. Nature 471, 63– 67 (2011). 21368825 PMC3074107
  4. Peterson S. E. & Loring J. F. Genomic instability in pluripotent stem cells: implications for clinical applications. J. Biol. Chem. 289, 4578– 4584 (2014). 24362040 PMC3931019
  5. Schlaeger T. M.. A comparison of non-integrating reprogramming methods. Nat. Biotechnol. 33, 58– 63 (2015). 25437882 PMC4329913
  6. McKenna A.. The Genome Analysis Toolkit: a MapReduce framework for analyzing next-generation DNA sequencing data. Genome Res. 20, 1297– 1303 (2010). 20644199 PMC2928508
  7. Cibulskis K.. Sensitive detection of somatic point mutations in impure and heterogeneous cancer samples. Nat. Biotechnol. 31, 213– 219 (2013). 23396013 PMC3833702
  8. Das S. K.. Single molecule linear analysis of DNA in nano-channel labeled with sequence specific fluorescent probes. Nucleic Acids Res. 38, e177 (2010). 20699272 PMC2952877
  9. Hastie A. R.. Rapid genome mapping in nanochannel arrays for highly complete and accurate de novo sequence assembly of the complex Aegilops tauschii genome. PloS ONE 8, e55864 (2013). 23405223 PMC3566107
  10. Lam E. T.. Genome mapping on nanochannel arrays for structural variation analysis and sequence assembly. Nat. Biotechnol. 30, 771– 776 (2012). 22797562 PMC3817024
  11. Xiao M.. Rapid DNA mapping by fluorescent single molecule detection. Nucleic Acids Res. 35, e16 (2007). 17175538 PMC1807959
  12. Anantharaman T. S. & Mishra B. in Proceedings of the First International Workshop on Algorithms in Bioinformatics 27– 40 (Aarhus, Denmark; Springer-Verlag, 2001).
  13. John V. N. Genomic Mapping: a Statistical and Algorithmic Analysis of the Optical Mapping System (PhD thesis Univ. Southern California (2010).
  14. Valouev A., Schwartz D. C., Zhou S. & Waterman M. S. An algorithm for assembly of ordered restriction maps from single DNA molecules. Proc. Natl Acad. Sci. USA 103, 15770– 15775 (2006). 17043225 PMC1635078
  15. Erikson G. A., Deshpande N., Kesavan B. G. & Torkamani A. SG-ADVISER CNV: copy-number variant annotation and interpretation. Genet. Med. 17, 714– 718 (2015). 25521334 PMC4886732
  16. Ramos A. H.. Oncotator: cancer variant annotation tool. Hum. Mutat. 36, E2423– E2429 (2015). 25703262 PMC7350419
  17. Kandoth C.. Mutational landscape and significance across 12 major cancer types. Nature 502, 333– 339 (2013). 24132290 PMC3927368
  18. Kircher M.. A general framework for estimating the relative pathogenicity of human genetic variants. Nat. Genet. 46, 310– 315 (2014). 24487276 PMC3992975
  19. Baum C.. Chance or necessity? Insertional mutagenesis in gene therapy and its consequences. Mol. Ther. 9, 5– 13 (2004). 14741772
  20. Takahashi K. & Yamanaka S. Induction of pluripotent stem cells from mouse embryonic and adult fibroblast cultures by defined factors. Cell 126, 663– 676 (2006). 16904174
  21. Okita K., Ichisaka T. & Yamanaka S. Generation of germline-competent induced pluripotent stem cells. Nature 448, 313– 317 (2007). 17554338
  22. Korhonen J., Martinmaki P., Pizzi C., Rastas P. & Ukkonen E. MOODS: fast search for position weight matrix matches in DNA sequences. Bioinformatics 25, 3181– 3182 (2009). 19773334 PMC2778336
  23. Li H.. The Sequence Alignment/Map format and SAMtools. Bioinformatics 25, 2078– 2079 (2009). 19505943 PMC2723002
  24. Li H. & Durbin R. Fast and accurate short read alignment with Burrows-Wheeler transform. Bioinformatics 25, 1754– 1760 (2009). 19451168 PMC2705234

Cited by

Sorted by citations

Authors
Bhutani, K., Nazor, K. L., Williams, R., Tran, H., Dai, H., Džakula, Ž., Cho, E. H., Pang, A. W. C., Rao, M., Cao, H., Schork, N. J., & Loring, J. F.
Affiliations
  • Scripps Research Institute (US)
  • BioNano Genomics (United States) (US)
  • National Institutes of Health (US)
Corresponding author
  • Schork, Nicholas J.
  • Loring, Jeanne F.
Venue
Nature Communications
Published
2016-02-19
Volume
7
Issue
1
Pages
10536-10536
ISSN
2041-1723 (ISSN-L)
OpenAlex
W2278911990
Cited by
129
References
2
Citations by year
2026: 5 · 2025: 5 · 2024: 8 · 2023: 6 · 2022: 11 · 2021: 13 · 2020: 13 · 2019: 17 · 2018: 11 · 2017: 20 · 2016: 20
FWCI
11.78
Type
journal article
Language
en
Open access
Locations
  • Nature Communications (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
  • National Science Foundation (1144086)
  • Autism Speaks
  • California Institute for Regenerative Medicine (RT1-01108, CL1‐00502, TR3-05603, TR1-01250, RT3-07655)
  • National Institutes of Health (DGE1144086, AG023122)
  • National Institute on Aging (R21AG045789, U19AG023122)
  • National Institute of Mental Health (R33MH087925)
  • Common Fund
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Pluripotent Stem Cells Research
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › CRISPR and Genetic Engineering
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Epigenetics and DNA Methylation
Keywords
induced pluripotent stem cells, mutational burden, retroviral vectors, Sendai virus, synthetic mRNA, single nucleotide variants, indels, structural variants, isogenic iPSC lines, fibroblast reprogramming, cell therapy safety
MeSH terms
Cell Differentiation, DNA Mutational Analysis, Fibroblasts, Humans, Mutation, Genome, Genomics, Induced Pluripotent Stem Cells

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