ArticleeLife2017
Free-living human cells reconfigure their chromosomes in the evolution back to uni-cellularity.
Article in eLife, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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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.
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Who cites it
23 citing papers in PubMed, 40 citations in OpenAlex.
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- In Silico Identification of Conserved 'Fungal Islands' in Human Septin9: Evidence for Atavistic Therapeutic Targets.International journal of molecular sciences · 2026Article
- Genomic evidence for males of exceptional reproductive output (ERO) in apes and humans.National science review · 2025Article
- Local radiotherapy for cancer patients is associated with mosaic loss of chromosome Y, a hallmark of male aging.npj aging · 2025Article
- Mosaic loss of Y chromosome is associated with aging and epithelial injury in chronic kidney disease.Genome biology · 2024Article
- Sex-Biased T-cell Exhaustion Drives Differential Immune Responses in Glioblastoma.Cancer discovery · 2023Article
- Sex as a Biological Variable in Tissue Engineering and Regenerative Medicine.Annual review of biomedical engineering · 2023Review
- A method for stabilising the XX karyotype in female mESC cultures.Development (Cambridge, England) · 2022Article
- Cancer progression as a sequence of atavistic reversions.BioEssays : news and reviews in molecular, cellular and developmental biology · 2021Article
- Large-scale labeling and assessment of sex bias in publicly available expression data.BMC bioinformatics · 2021Article
- Short H2A histone variants are expressed in cancer.Nature communications · 2021Article
- JAM-A functions as a female microglial tumor suppressor in glioblastoma.Neuro-oncology · 2020Article
- Myeloid-Derived Suppressor Cell Subsets Drive Glioblastoma Growth in a Sex-Specific Manner.Cancer discovery · 2020Article
- Sex Chromosomes Are Severely Disrupted in Gastric Cancer Cell Lines.International journal of molecular sciences · 2020Article
- Sex bias and omission in neuroscience research is influenced by research model and journal, but not reported NIH funding.Frontiers in neuroendocrinology · 2020Review
- Mosaic loss of human Y chromosome: what, how and why.Human genetics · 2020Review
- Superresolution microscopy reveals linkages between ribosomal DNA on heterologous chromosomes.The Journal of cell biology · 2019Article
- Tumorigenesis as the Paradigm of Quasi-neutral Molecular Evolution.Molecular biology and evolution · 2019Article
- Article
- Forged byFrontiers in cell and developmental biology · 2019Article
Corrections and comments
- Commented on byCulture shock.2017
Authors and funding
9 authors at 3 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cells of multi-cellular organisms evolve toward uni-cellularity in the form of cancer and, if humans intervene, continue to evolve in cell culture. During this process, gene dosage relationships may evolve in novel ways to cope with the new environment and may regress back to the ancestral uni-cellular state. In this context, the evolution of sex chromosomes vis-a-vis autosomes is of particular interest. Here, we report the chromosomal evolution in ~ 600 cancer cell lines. Many of them jettisoned either Y or the inactive X; thus, free-living male and female cells converge by becoming 'de-sexualized'. Surprisingly, the active X often doubled, accompanied by the addition of one haploid complement of autosomes, leading to an X:A ratio of 2:3 from the extant ratio of 1:2. Theoretical modeling of the frequency distribution of X:A karyotypes suggests that the 2:3 ratio confers a higher fitness and may reflect aspects of sex chromosome evolution.
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Registered trials
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.