BIOPIX DNA TECHNOLOGY S.A.’s Post

Since the beginning of the COVID-19 pandemic, the circulating variants have been classified into different categories depending on the impact they may have on the epidemiological situation. The three main categories are: variant under monitoring (VUM), variant of interest (VOI) and variant of concern (VOC)1-4. BIOPIX DNA TECHNOLOGY P.C. has been constantly stayed alert and evaluated every new variant that had been identified regardless its classification, to ensure that the COV19 qcLAMP kit5 is able to detect every variant that is circulating. To do that, the company is performing in silico analysis and identifying whether the new mutations are interfering with the accuracy of the kit. In conclusion, the effectiveness of COV19 qcLAMP test kit should not be affected by any circulating variant, including the latest JN.1 (BA.2.86.1.1), and it is able to detect any SARS-COV-2 variant that is known until this day1-4.     References 1.     Tracking SARS-CoV-2 variants. https://lnkd.in/gvnhvBid. Last updated on 26 October 2023. 2.     SARS-CoV-2 variants of concern as of 20 October 2023. https://lnkd.in/gG59-36m. Last updated on 20 October 2023. 3.     Pango Lineages: Latest epidemiological lineages of SARS-CoV-2. https://lnkd.in/gSRAHNCe. 4.     Genomic epidemiology of SARS-CoV-2. https://lnkd.in/gnsc_wb9. 5.     BIOPIX DNA TECHNOLOGY P.C. COV19 qcLAMP test kit. https://lnkd.in/gvqb-cR9.

Lyme disease is a bacterial infection transmitted by ticks, specifically the spirochete Borrelia burgdorferi. The Borrelia species have complex genomes consisting of a linear chromosome and various linear and circular plasmids, which are crucial for their survival and transmission during the enzootic cycle. Among the essential plasmids found in most Lyme disease-causing spirochetes are the 32-kb circular plasmids known as cp32 prophages. These cp32 prophages can undergo lytic replication, producing infectious viral particles called ϕBB-1. Although the genome of B. burgdorferi shows signs of horizontal gene transfer, the exact mechanisms through which genes are transferred between strains are still not fully understood. Studies have shown that ϕBB-1 plays a role in transducing cp32 and shuttle vector DNA during laboratory cultivation; however, the extent of ϕBB-1 DNA transfer remains ambiguous. Recent research employing proteomics and long-read sequencing has provided further insights into the characteristics of ϕBB-1 virions. The investigation revealed that ϕBB-1 packages linear cp32 plasmids using a headful mechanism, showing a preference for plasmids containing the cp32 pac region. Additionally, ϕBB-1 was found to package fragments of the linear chromosome and complete plasmids such as lp54 and cp26. Sequencing of the DNA packaged by ϕBB-1 unveiled the structure of the covalently closed hairpin telomeres for the linear chromosome of B. burgdorferi and most linear plasmids in strain CA-11.2A. These findings shed light on the biological functions of the ubiquitous ϕBB-1 phage and its involvement in the generalized transduction of diverse genes. Moreover, the research implicates ϕBB-1 in maintaining genetic diversity within Lyme disease spirochetes. The intricate mechanisms of DNA packaging and transfer by ϕBB-1 contribute to our understanding of how these bacteria evolve and adapt to different environments, ultimately enhancing our knowledge of Lyme disease pathogenesis. #LymeDisease #GeneticDiversity https://buff.ly/43JwLHp

"Recent advances in genomic technology and molecular techniques have greatly facilitated the identification of disease biomarkers, advanced understanding of pathogenesis of different common diseases, and heralded the dawn of #precisionmedicine[1]." 3 weeks ago, a review focused on these advances in the area of diabetes and analysed the different #omics data in relation to detailed #clinical information: "In this review, we aim to provide an overview on how omics research could be incorporated into the design of current and future epidemiological studies... We provide an up-to-date review of the current understanding in the area of genetic, epigenetic, proteomic and metabolomic markers for #diabetes and related outcomes, including polygenic risk scores. We have drawn on key examples from the literature, as well as our own experience of conducting omics research using the Hong Kong Diabetes Register and Hong Kong Diabetes Biobank, as well as other cohorts, to illustrate the potential of omics research in diabetes. Recent studies highlight the opportunity, as well as potential benefit, to incorporate molecular profiling in the design and set-up of diabetes epidemiology studies, which can also advance understanding on the heterogeneity of diabetes[1]." ✅#My2_cents "...it is the integrative analysis of multiple omics that are likely to provide the most useful novel insights towards diabetes and related complications. In addition to the integration of different layers of omics datasets from different cohorts, there should be considerable advantage in leveraging the measurement of multiple omics in the same individuals... ➡ #multiomics data has been generated in an increasing number of cohorts, including the INTERVAL study, the Fenland cohort, China Kadoorie Biobank, FinnDiane and other cohorts... ➡ This generation of deep phenotyping with multi-omics data in large epidemiological cohorts, preferably with prospective follow-up, represents another important dimension in “big data” analytics... ➡There are also numerous successful examples where the incorporation of omics research into clinical trials have helped to identify novel biomarkers for clinical outcomes as well as biomarkers related to treatment response, though there are different limitations including the sample sizes of clinical trials being powered to detect differences in the primary outcomes in relation to the interventions being examined, and relatively short duration of the intervention..." #Reference check my 1st comment   20240219-11747

I'm excited to share our latest research published in Nature Communications! 🌿🔬 We explored why immune responses vary among individuals and how genetics shape these responses, particularly in the context of Lyme disease. In our study, we identified 34 genomic loci that regulate immune responses in patients with Lyme disease. One of the strongest signals we found was in the TLR1-6-10 locus, which plays a crucial role in cytokine responses to Borrelia burgdorferi, the bacteria causing Lyme disease. 🦠 Our data revealed the functional effect of a genetic variant associated with Lyme disease susceptibility. Interestingly, the loci we identified also play roles in other immune-mediated diseases. Read more about our findings in Nature Communications: https://lnkd.in/epjHB_9S #Genetics #Immunology #LymeDisease #Research

Are you a Data Scientist, Analytics or Customer Insights Professional in pharma or biotech? Do you need tools to help you analyze the genetic oncology market? We have a new customizable tool offering access to over 100+ genetic biomarkers across 30+ cancers. Query any combination of features to get accurate, data backed views of cancer epidemiology. Join us for our upcoming webinar on PRECISE Biomarkers to revolutionize cancer research and make data-driven decisions easier than ever! Register now for the webinar on October 30, 2024 at 11:00am EDT. https://lnkd.in/ezRXRQsZ #Webinar #cancer #cancerepidemiology #biomarker #geneticbiomarker #cancerresearch #epidemiology #datadriven #innovation #datascience #customerinsights #pharmaanalytics #analytics #genetics #productmanagement #pharma #biotech

Are you a Data Scientist, Data Analytics, or Customer Insights Professional in pharma or biotech? Looking for tools to analyze the genetic oncology market? Our new customizable tool offers access to 100+ genetic biomarkers across 30+ cancers. Query any feature combination for accurate, data-backed cancer epidemiology views. Join our upcoming webinar on PRECISE Biomarkers to revolutionize cancer research and simplify data-driven decision-making! Register now for the webinar this Wednesday October 30, 2024 at 11:00am EDT. https://lnkd.in/ezRXRQsZ #Webinar #cancer #cancerepidemiology #biomarker #geneticoncology #geneticbiomarker #cancerresearch #epidemiology #marketing #datadriven #innovation #datascience #customerinsights #pharmaanalytics #analytics #genetics #productmanagement #pharma #biotech #forecasting

During the COVID-19 pandemic, direct-to-consumer rapid diagnostic tests (RDTs) became a mainstay of respiratory infectious disease management. However, these at-home tests do not funnel into genomic surveillance systems, which are critical for public health. To address this shortcoming, Jillian Paull, Brittany Petros, Michael Springer, Pardis Sabeti, and colleagues developed methods to maximize the extraction of genetic material from RDTs. In this study, published in The Lancet Microbe, they demonstrate the suitability of RDTs for viral genomic surveillance and use RDT-derived viral sequences to identify circulating viral variants and to infer transmission links within an outbreak. #BroadInstitute #Science #ScienceNews #Research #ScientificResearch

📃Scientific paper: Whole genome structure and resistance genes in carbapenemase-producing multidrug resistant ST378 Klebsiella pneumoniae Abstract: Background Carbapenemase-producing Klebsiella pneumoniae (CPKP) is one of the most dangerous multidrug-resistant (MDR) pathogens in human health due to its widespread circulation in the nosocomial environment. CPKP carried by companion dogs, which are close to human beings, should be considered a common threat to public health. However, CPKP dissemination through companion animals is still under consideration of major diagnosis and surveillance systems. Methods Two CPKP isolates which were genotyped to harbor bla _NDM-5-encoding IncX3 plasmids, were subjected to the whole-genome study. Whole bacterial DNA was isolated, sequenced, and assembled with Oxford Nanopore long reads and corrected with short reads from the Illumina NovaSeq 6000 platform. The whole-genome structure and positions of antimicrobial resistance (AMR) genes were identified and visualized using CGView. Worldwide datasets were downloaded from the NCBI GenBank database for whole-genome comparative analysis. The whole-genome phylogenetic analysis was constructed using the identified whole-chromosome SNP sites from K. pneumoniae HS11286. Results As a result of the whole-genome identification, 4 heterogenous plasmids and a single chromosome were identified, each carrying various AMR genes. Multiple novel structures were identified from the AMR genes, coupled with mobile gene elements (MGE). The comparative whole-genome epidemiology revealed that ST378 K. pneumoniae is a novel type of CPKP, carrying a h... Continued on ES/IODE ➡️ https://etcse.fr/FnG6 ------- If you find this interesting, feel free to follow, comment and share. We need your help to enhance our visibility, so that our platform continues to serve you.

📃Scientific paper: Whole genome structure and resistance genes in carbapenemase-producing multidrug resistant ST378 Klebsiella pneumoniae Abstract: Background Carbapenemase-producing Klebsiella pneumoniae (CPKP) is one of the most dangerous multidrug-resistant (MDR) pathogens in human health due to its widespread circulation in the nosocomial environment. CPKP carried by companion dogs, which are close to human beings, should be considered a common threat to public health. However, CPKP dissemination through companion animals is still under consideration of major diagnosis and surveillance systems. Methods Two CPKP isolates which were genotyped to harbor bla _NDM-5-encoding IncX3 plasmids, were subjected to the whole-genome study. Whole bacterial DNA was isolated, sequenced, and assembled with Oxford Nanopore long reads and corrected with short reads from the Illumina NovaSeq 6000 platform. The whole-genome structure and positions of antimicrobial resistance (AMR) genes were identified and visualized using CGView. Worldwide datasets were downloaded from the NCBI GenBank database for whole-genome comparative analysis. The whole-genome phylogenetic analysis was constructed using the identified whole-chromosome SNP sites from K. pneumoniae HS11286. Results As a result of the whole-genome identification, 4 heterogenous plasmids and a single chromosome were identified, each carrying various AMR genes. Multiple novel structures were identified from the AMR genes, coupled with mobile gene elements (MGE). The comparative whole-genome epidemiology revealed that ST378 K. pneumoniae is a novel type of CPKP, carrying a h... Continued on ES/IODE ➡️ https://etcse.fr/FnG6 ------- If you find this interesting, feel free to follow, comment and share. We need your help to enhance our visibility, so that our platform continues to serve you.

Are you a Data Scientist, Analytics or Customer Insights Professional in pharma or biotech? Do you need tools to help you analyze the genetic oncology market? We have a new customizable tool offering access to over 100+ genetic biomarkers across 30+ cancers. Query any combination of features to get accurate, data backed views of cancer epidemiology. Join us for our upcoming webinar on PRECISE Biomarkers to revolutionize cancer research and make data-driven decisions easier than ever! Register now for the webinar on October 30, 2024 at 11:00am EDT. https://lnkd.in/ezRXRQsZ #cancer #cancerepidemiology #biomarker #geneticbiomarker #cancerresearch #epidemiology #datadriven #innovation #datascience #customerinsights #pharmaanalytics #analytics #genetics