Genomic islands, flanked by attachment sites, devoid of conjugation and recombination modules and related to the integrative and conjugative element (ICE) ICESt3, were previously found in Streptococcus thermophilus. Here, we show that ICESt3 transfers to a recipient harbouring a similar engineered genomic island, CIMEL₃catR₃, and integrates by site-specific recombination into its attachment sites, leading to their accretion. The resulting composite island can excise, showing that ICESt3 mobilizes CIMEL₃catR₃, in cis. ICESt3, CIMEL₃catR₃, and the whole composite element can transfer from the strain harbouring the composite structure. The ICESt3 transfer to a recipient bearing CIMEL₃catR₃, can also lead to retromobilization, i.e. its capture by the donor. This is the first demonstration of specific conjugative mobilization of a genomic island in cis and the first report of ICE-mediated retromobilization. CIMEL₃catR₃, would be the prototype of a novel class of non-autonomous mobile elements (CIMEs: CIs mobilizable elements), which hijack the recombination and conjugation machinery of related ICEs to excise, transfer and integrate. Few genome analyses have shown that CIMEs could be widespread and have revealed internal repeats that could result from accretions in numerous genomic islands, suggesting that accretion and cis mobilization have a key role in evolution of genomic islands.
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http://dx.doi.org/10.1111/j.1365-2958.2011.07737.x | DOI Listing |
J Transl Med
January 2025
Department of Epidemiology and Health Statistics, The School of Public Health of Qingdao University, 308 Ningxia Road, Qingdao, 266071, Shandong, People's Republic of China.
Background: DNA methylation (DNAm) has been shown in multiple studies to be associated with the estimated glomerular filtration rate (eGFR). However, studies focusing on Chinese populations are lacking. We conducted an epigenome-wide association study to investigate the association between DNAm and eGFR in Chinese monozygotic twins.
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January 2025
Department of Stem Cell Biology and Regenerative Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
Transcription factors guide tissue development by binding to developmental stage-specific targets and establishing an appropriate enhancer landscape. In turn, DNA and chromatin modifications direct the genomic binding of transcription factors. However, how transcription factors navigate chromatin features to selectively bind a small subset of all the possible genomic target loci remains poorly understood.
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January 2025
Umeå University, Department of Medical Biosciensces, Department of Clinical Microbiology, Umeå, Sweden.
Current intensive treatment of pediatric T-cell acute lymphoblastic leukemia (T-ALL) has substantial side-effects, highlighting a need for novel biomarkers to improve risk stratification. Canonical biomarkers such as genetics and immunophenotype are largely not used in pediatric T-ALL stratification. This study aimed to validate the prognostic relevance of DNA methylation CpG island methylator phenotype (CIMP) risk stratification in two pediatric T-ALL patient cohorts: the Nordic NOPHO ALL2008 T-ALL study cohort (n=192) and the Dutch DCOG ALL-10/ALL-11 validation cohorts (n=156).
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December 2024
Institute for Personalized Medicine, Department of Biochemistry and Molecular Biology, The Pennsylvania State University College of Medicine, Hershey, PA, USA.
Nullomers are short DNA sequences (11-18 base pairs) that are absent from a genome; however, they can emerge due to mutations. Here, we characterize all possible putative human nullomer-emerging single base pair mutations, population variants and disease-causing mutations. We find that the primary determinants of nullomer emergence in the human genome are the presence of CpG dinucleotides and methylated cytosines.
View Article and Find Full Text PDFBiotechnol J
January 2025
Department of Chemical and Biomolecular Engineering, University of Delaware, Newark, Delaware, USA.
The implementation of site-specific integration (SSI) systems in Chinese hamster ovary (CHO) cells for the production of monoclonal antibodies (mAbs) can alleviate concerns associated with production instability and reduce cell line development timelines. SSI cell line performance is driven by the interaction between genomic integration location, clonal background, and the transgene expression cassette, requiring optimization of all three parameters to maximize productivity. Systematic comparison of these parameters has been hindered by SSI platforms involving low-throughput enrichment strategies, such as cell sorting.
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