ArticleBMC genomics2008
The RHNumtS compilation: features and bioinformatics approaches to locate and quantify Human NumtS.
Article in BMC genomics, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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.
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.
Who cites it
20 citing papers in PubMed.
- Introgressed mitochondrial fragments from archaic hominins alter nuclear genome function in modern humans.Science advances · 2026Article
- Animal Species and Identity Testing: Developments, Challenges, and Applications to Non-Human Forensics.Genes · 2025Review
- Genome-wide analysis in human populations reveals mitonuclear disequilibrium in genes related to neurological function.Scientific reports · 2025Article
- Article
- Conserved long-range base pairings are associated with pre-mRNA processing of human genes.Nature communications · 2021Article
- Mitigating the effects of reference sequence bias in single-multiplex massively parallel sequencing of the mitochondrial DNA control region.Forensic science international. Genetics · 2019Article
- Numtogenesis as a mechanism for development of cancer.Seminars in cancer biology · 2017Review
- NumtS colonization in mammalian genomes.Scientific reports · 2017Article
- Integration of mtDNA pseudogenes into the nuclear genome coincides with speciation of the human genus. A hypothesis.Mitochondrion · 2017Article
- The ability of human nuclear DNA to cause false positive low-abundance heteroplasmy calls varies across the mitochondrial genome.BMC genomics · 2016Article
- Mitochondrial Disease Sequence Data Resource (MSeqDR): a global grass-roots consortium to facilitate deposition, curation, annotation, and integrated analysis of genomic data for the mitochondrial disease clinical and research communities.Molecular genetics and metabolism · 2015Review
- Stable heteroplasmy at the single-cell level is facilitated by intercellular exchange of mtDNA.Nucleic acids research · 2015Article
- DNA methyltransferase 1 mutations and mitochondrial pathology: is mtDNA methylated?Frontiers in genetics · 2015Article
- Factors affecting the relative abundance of nuclear copies of mitochondrial DNA (numts) in hominoids.Journal of molecular evolution · 2012Article
- Polymorphic NumtS trace human population relationships.Human genetics · 2012Article
- The reference human nuclear mitochondrial sequences compilation validated and implemented on the UCSC genome browser.BMC genomics · 2011Article
- Complete sequences of mitochondria genomes of Aedes aegypti and Culex quinquefasciatus and comparative analysis of mitochondrial DNA fragments inserted in the nuclear genomes.Insect biochemistry and molecular biology · 2011Article
- Article
- Biomarker Validation for Aging: Lessons from mtDNA Heteroplasmy Analyses in Early Cancer Detection.Biomarker insights · 2009Article
- A comparative approach shows differences in patterns of numt insertion during hominoid evolution.Journal of molecular evolution · 2009Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundTo a greater or lesser extent, eukaryotic nuclear genomes contain fragments of their mitochondrial genome counterpart, deriving from the random insertion of damaged mtDNA fragments. NumtS (Nuclear mt Sequences) are not equally abundant in all species, and are redundant and polymorphic in terms of copy number. In population and clinical genetics, it is important to have a complete overview of NumtS quantity and location. Searching PubMed for NumtS or Mitochondrial pseudo-genes yields hundreds of papers reporting Human NumtS compilations produced by in silico or wet-lab approaches. A comparison of published compilations clearly shows significant discrepancies among data, due both to unwise application of Bioinformatics methods and to a not yet correctly assembled nuclear genome. To optimize quantification and location of NumtS, we produced a consensus compilation of Human NumtS by applying various bioinformatics approaches.
resultsLocation and quantification of NumtS may be achieved by applying database similarity searching methods: we have applied various methods such as Blastn, MegaBlast and BLAT, changing both parameters and database; the results were compared, further analysed and checked against the already published compilations, thus producing the Reference Human Numt Sequences (RHNumtS) compilation. The resulting NumtS total 190.
conclusionThe RHNumtS compilation represents a highly reliable reference basis, which may allow designing a lab protocol to test the actual existence of each NumtS. Here we report preliminary results based on PCR amplification and sequencing on 41 NumtS selected from RHNumtS among those with lower score. In parallel, we are currently designing the RHNumtS database structure for implementation in the HmtDB resource. In the future, the same database will host NumtS compilations from other organisms, but these will be generated only when the nuclear genome of a specific organism has reached a high-quality level of assembly.
Indexed as
Identifiers
What OpenQuestion holds
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.