The study of left–right axis malformations in man and mouse has greatly advanced understanding of the mechanisms regulating vertebrate left–right axis formation. Recently, the roles of the TGF-β ...family, Sonic hedgehog and fibroblast growth factor signaling, homeobox genes, and cilia in left–right axis determination have been more clearly defined. The identification of genes and environmental factors affecting left–right axis formation has important implications for understanding human laterality defects.
We present a novel approach for the search of dark matter in the DarkSide-50 experiment, relying on Bayesian Networks. This method incorporates the detector response model into the likelihood ...function, explicitly maintaining the connection with the quantity of interest. No assumptions about the linearity of the problem or the shape of the probability distribution functions are required, and there is no need to morph signal and background spectra as a function of nuisance parameters. By expressing the problem in terms of Bayesian Networks, we have developed an inference algorithm based on a Markov Chain Monte Carlo to calculate the posterior probability. A clever description of the detector response model in terms of parametric matrices allows us to study the impact of systematic variations of any parameter on the final results. Our approach not only provides the desired information on the parameter of interest, but also potential constraints on the response model. Our results are consistent with recent published analyses and further refine the parameters of the detector response model.
Celotno besedilo
Dostopno za:
DOBA, IZUM, KILJ, NUK, PILJ, PNG, SAZU, SIK, UILJ, UKNU, UL, UM, UPUK
Sharing genomic variant interpretations across laboratories promotes consistency in variant assertions. A landscape analysis of Australian clinical genetic-testing laboratories in 2017 identified ...that, despite the national-accreditation-body recommendations encouraging laboratories to submit genotypic data to clinical databases, fewer than 300 variants had been shared to the ClinVar public database. Consultations with Australian laboratories identified resource constraints limiting routine application of manual processes, consent issues, and differences in interpretation systems as barriers to sharing. This information was used to define key needs and solutions required to enable national sharing of variant interpretations. The Shariant platform, using both the GRCh37 and GRCh38 genome builds, was developed to enable ongoing sharing of variant interpretations and associated evidence between Australian clinical genetic-testing laboratories. Where possible, two-way automated sharing was implemented so that disruption to laboratory workflows would be minimized. Terms of use were developed through consultation and currently restrict access to Australian clinical genetic-testing laboratories. Shariant was designed to store and compare structured evidence, to promote and record resolution of inter-laboratory classification discrepancies, and to streamline the submission of variant assertions to ClinVar. As of December 2021, more than 14,000 largely prospectively curated variant records from 11 participating laboratories have been shared. Discrepant classifications have been identified for 11% (28/260) of variants submitted by more than one laboratory. We have demonstrated that co-design with clinical laboratories is vital to developing and implementing a national variant-interpretation sharing effort. This approach has improved inter-laboratory concordance and enabled opportunities to standardize interpretation practices.
Sharing genomic variant interpretations across laboratories promotes consistency. The Shariant platform was developed to enable ongoing sharing of variant interpretations and associated evidence, resolution of inter-laboratory discrepancies, and streamlined submission of variant assertions to ClinVar. This approach has improved concordance and enabled opportunities for standardization of practices between Australian laboratories.
By the end of 2012, more than 6.1 million people were infected with HIV-1 in South Africa. Subtype C was responsible for the majority of these infections and more than 300 near full-length genomes ...(NFLGs) have been published. Currently very few non-subtype C isolates have been identified and characterized within the country, particularly full genome non-C isolates. Seven patients from the Tygerberg Virology (TV) cohort were previously identified as possible non-C subtypes and were selected for further analyses. RNA was isolated from five individuals (TV047, TV096, TV101, TV218, and TV546) and DNA from TV016 and TV1057. The NFLGs of these samples were amplified in overlapping fragments and sequenced. Online subtyping tools REGA version 3 and jpHMM were used to screen for subtypes and recombinants. Maximum likelihood (ML) phylogenetic analysis (phyML) was used to infer subtypes and SimPlot was used to confirm possible intersubtype recombinants. We identified three subtype B (TV016, TV047, and TV1057) isolates, one subtype A1 (TV096), one subtype G (TV546), one unique AD (TV101), and one unique AC (TV218) recombinant form. This is the first NFLG of subtype G that has been described in South Africa. The subtype B sequences described also increased the NFLG subtype B sequences in Africa from three to six. There is a need for more NFLG sequences, as partial HIV-1 sequences may underrepresent viral recombinant forms. It is also necessary to continue monitoring the evolution and spread of HIV-1 in South Africa, because understanding viral diversity may play an important role in HIV-1 prevention strategies.
ABSTRACT
Background
A high-quality reference genome is an essential tool for applied and basic research on arthropods. Long-read sequencing technologies may be used to generate more complete and ...contiguous genome assemblies than alternate technologies; however, long-read methods have historically had greater input DNA requirements and higher costs than next-generation sequencing, which are barriers to their use on many samples. Here, we present a 2.3 Gb de novo genome assembly of a field-collected adult female spotted lanternfly (Lycorma delicatula) using a single Pacific Biosciences SMRT Cell. The spotted lanternfly is an invasive species recently discovered in the northeastern United States that threatens to damage economically important crop plants in the region.
Results
The DNA from 1 individual was used to make 1 standard, size-selected library with an average DNA fragment size of ∼20 kb. The library was run on 1 Sequel II SMRT Cell 8M, generating a total of 132 Gb of long-read sequences, of which 82 Gb were from unique library molecules, representing ∼36× coverage of the genome. The assembly had high contiguity (contig N50 length = 1.5 Mb), completeness, and sequence level accuracy as estimated by conserved gene set analysis (96.8% of conserved genes both complete and without frame shift errors). Furthermore, it was possible to segregate more than half of the diploid genome into the 2 separate haplotypes. The assembly also recovered 2 microbial symbiont genomes known to be associated with L. delicatula, each microbial genome being assembled into a single contig.
Conclusions
We demonstrate that field-collected arthropods can be used for the rapid generation of high-quality genome assemblies, an attractive approach for projects on emerging invasive species, disease vectors, or conservation efforts of endangered species.
Gene transfer to the lung could provide important new treatments for chronic and acquired lung diseases such as cystic fibrosis, α1-antitrypsin deficiency, emphysema, and cancer. DNA-mediated gene ...transfer to the lung has been previously demonstrated, but anticipated effectiveness has been limited by low gene transfer efficiencies and by transient expression of the transgene. Here, we combine plasmid-based gene transfer with the integrating capacity of the nonviral Sleeping Beauty (SB) transposon vector system to mediate gene insertion and long-term gene expression in mouse lung. We observed transgene expression after 24 h in lungs of all animals injected with the luciferase transposon (pT/L), but expression for up to 3 months required codelivery of a plasmid encoding the Sleeping Beauty transposase. We also observed long-term expression in pT/L-injected animals transgenic for SB transposase. Transgene expression was localized to the alveolar region of the lung, with transfection including mainly type II pneumocytes. We used a linker-mediated PCR technique to recover transposon flanking sequences, demonstrating transposition of pT/L into mouse chromosomal DNA of the lung.