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Manufacturer discovery tools provide varying levels of functionality. Some provide basic utility such as discovery and addressing of equipment, while others provide more sophisticated features like camera management, bulk configuration, firmware updates, logging, and more.

While this reports covers 41 manufacturers, it is not an exhaustive list. If there is a discovery tool that you would like added to this report please comment below or email jscanlan@ipvm.com with the details.

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With a focus on cutting edge techniques and both basic and translational science, the department is working to address all aspects of infectious diseases. Our strengths lie in immunology, vaccinology, drug discovery, and investigation of host-pathogen interactions, and our graduate programs are highly sought after.

Now, following an arduous investigative odyssey that expanded our understanding of regulatory sequences in the human genome, the multinational scientific group has announced the discovery of the genetic explanation for this disease. Their findings are published in Nature.

Looking back at their human sequence data after this discovery, the authors saw that both types of ICR deletions carried in IDIS families prevent any Percc1 protein from being made. So, to formally connect the dots and prove that a lack of Percc1 gene expression is the sole cause of IDIS, they bred a new lineage of mice that had no genetic abnormalities other than a deleted Percc1 gene. Immediately after birth, the mutant mice experienced severe, chronic diarrhea that perfectly mirrored the disease progression of humans with IDIS. "That puts a nail in the coffin that yes, that must be what causes the condition because mice have the same exact symptoms," explained Pennacchio.

Moving forward, Anikster's clinical teams at the Edmond and Lily Safra Children's Hospital, the Sheba Medical Center, and the Sackler School of Medicine at Tel Aviv University plan to use their newfound knowledge of the gene to more closely study how the disease progresses over time. "The scientific journey was particularly long, challenging and full of surprises," he said. "We hope that our discovery will pave the path towards targeted treatment of this potentially fatal disease."

Berkeley Lab geneticist Len Pennacchio and his team helped a group of Israeli clinical researchers solve the mystery of a rare inherited disease that causes extreme, sometimes fatal, chronic diarrhea in children. The nearly decade-long investigation not only led to the discovery of a novel protein-coding gene that is critical for intestinal function, but also expanded our understanding of regulatory sequences in the human genome. The results were recently published in Nature.

Combination immunotherapies are one of the most exciting advanced therapy medicinal products (ATMP) being developed, with incredible potential for treating cancer, says Panagiotis Parsonidis, a molecular biologist and lead researcher at RGCC. DDW speaks to him about VAXO-Q-RE developments, a combination immunotherapy that will soon enter clinical trials.

RGCC scientist Panagiotis Parsonidis specialises in cellular and molecular biology techniques with application in oncology and immunology, his current research focuses on the gene and protein expression of CTCs and CSCs and the development of Adoptive Cellular Therapies for cancer treatment. A Biology graduate of Aristotle University of Thessaloniki he followed this with a Masters in Food & Drink Innovation from the University of Abertay, Dundee.

Stroke is the second leading cause of death worldwide, responsible for approximately 12% of total deaths, with an increasing burden particularly in low-income countries 6. Characterized by a neurological deficit of sudden onset, stroke is predominantly caused by cerebral ischaemia (of which the main aetiological subtypes are large-artery atherosclerotic stroke (LAS), cardioembolic stroke (CES), and small-vessel stroke (SVS)) and, less often, by intracerebral haemorrhage (ICH). The frequency of stroke subtypes differs between ancestry groups as exemplified by a higher prevalence of SVS and ICH in Asian and African populations compared with European populations. Most genetic loci associated with stroke have been identified in populations of European ancestry. The largest published GWAS meta-analysis to date (67,162 cases and 454,450 control individuals, MEGASTROKE) reported 32 stroke risk loci1. To identify new genetic associations and provide insights into stroke pathogenesis and putative drug targets, we first performed a cross-ancestry GWAS of 1,614,080 participants, including 110,182 patients who had a stroke, and followed up genome-wide significant signals in an independent dataset of 89,084 patients who had a stroke and 1,013,843 control individuals. We then characterized the identified stroke risk loci by leveraging expression and protein quantitative trait loci, cross-ancestry fine-mapping and shared genetic variation with other traits. Finally, we used a series of approaches for genomics-driven drug discovery for stroke prevention and treatment, and examined the prediction of stroke with polygenic scores (PGSs) across ancestries in the setting of both population-based studies and clinical trials.

Overall, combining evidence from genomics-driven drug discovery approaches, characterization of stroke-risk loci (missense variants, TWAS, PWAS, colocalization, pathway enrichment, MR with pQTL, MENTR and PoPS34), and previous knowledge from monogenic disease models and experimental data, we found evidence for the potential functional implication of 56 genes that should be prioritized for further functional follow-up, with evidence from multiple approaches for 20 genes (Supplementary Table 38).

Information on participating studies (discovery and follow-up), study design, and definitions of stroke and stroke subtypes is provided in the Supplementary Information. Population characteristics of individual studies are provided in Supplementary Table 1.

Genotyping methods, pre-imputation quality control of genotypes and imputation methods of individual cohorts (discovery and follow-up) are presented in Supplementary Table 2. High-quality samples and SNPs underwent imputation using mostly Haplotype Reference Consortium (HRC) or 1000 Genomes phase 1 or phase 3 reference panels and, less often, TOPMed, HapMap or biobank-specific reference panels. Individual studies performed a GWAS using logistic regression (or Cox regression in some longitudinal population-based cohorts) testing association of genotypes with five stroke phenotypes (AS, AIS, CES, LAS and SVS) under an additive effect model, adjusting for age, sex, principal components of population stratification and study-specific covariates when needed (Supplementary Table 2).

The code for computation of the integrated polygenic risk score of stroke are available at GitHub ( -construction). The drug discovery analysis was conducted using the following publicly available tools: GREP ( ), Trans-Phar ( -Phar), and the TwoSampleMR ( ), coloc ( ) and susieR ( ) R packages.

In the double frame of the preparation of the ESA-led JUICE mission and the development of a planetary sciences virtual observatory (VO), we are proposing a new set of tools directed to data providers as well as users, in order to ease data sharing and discovery. We will focus on ground based planetary radio observations (thus mainly Jupiter radio emissions), trying for instance to enhance the temporal coverage of jovian decametric emission. The data service we will be using is EPN-TAP, a planetary science data access protocol developed by Europlanet/IDIS (Integrated and Distributed Information Service). This protocol is derived from IVOA (International Virtual Observatory Alliance) standards. The Jupiter Routine Observations from the Nanay Decameter Array are already shared on the planetary science VO using this protocol. We will first introduce the VO tools and concepts of interest for the planetary radioastronomy community. We will then present the various data formats now used for such data services, as well as their associated metadata. We will finally show various prototypical tools that make use of this shared datasets. ff782bc1db