Check out your Company Bowl for anonymous work chats.
The #BreastCancer Association Consortium recently performed a large study defining #genes most clinically useful in predicting breast cancer risk. The team used a 1349 amplicon panel of 34 known or suspected #breastcancersusceptibility genes, sequenced germline #DNA from 60,466 women with breast cancer and 53,461 controls and estimated the risks of breast cancer overall and #tumor subtypes associated with germline protein-truncating variants and rare missense variants in these genes. #Librarypreparation was conducted using the Fluidigm Juno™ 192.24 system across three laboratories for automated and reliable library generation. They found strong evidence of an association with breast cancer risk for protein-truncating variants in 9 genes, with a P value of less than 0.0001 for 5 genes (ATM, BRCA1, BRCA2, CHEK2, and PALB2) and a P value of less than 0.05 for the other 4 genes (BARD1, RAD51C, RAD51D, and TP53). Find out more: https://lnkd.in/gUVEb7Y #labautomation #libraryprep #genomics #consortium #BRCA
On Thursday, 25 March, Luca Miglietta and Jesus Rodriguez Manzano from Imperial College London along with Nick Jordan from the Fluidigm FAS team, will be presenting a live webinar: Coupling #MachineLearning and #HighThroughput #Digital #PCR to Enable Multi-pathogen Detection. REGISTER: https://lnkd.in/gbARAxN In this #webinar - Hear an introduction to high throughput #qPCR with our Biomark™ HD platform. - Learn about a novel data-driven method to identify multiple targets in a single reaction, with extremely reliable and accurate results. - See its application to multi-pathogen detection and anti-microbial resistance (AMR) - Hear how this unique method provides a fast, accurate and cost-effective approach to #pathogen #diagnostics We hope you can join us! If you cannot attend the live broadcast, your registration will allow you to view an on-demand recording after the event.
If you missed it, check out our article in The Pathologist! ‘Exploring the Tissue Microenvironment to Uncover Spatial Biology Secrets’ offers a glimpse of Fluidigm systems that enable in-depth characterization of tumor microenvironments and help provide key #pathology research insights. Ours is one of eight articles in the publication’s Innovators 2020 issue, which showcases companies and their industry-leading products that made a difference in laboratory medicine and pathology in 2020. Read the article: https://lnkd.in/gf8XXGQ #lasercapturemicrodissection #imaging #imagingmasscytometry #singlecell #spatialbiologyinsights #genomics #proteomics #transcriptomics #lasermicrodissection
Save the date! Tuesday, May 25, 2021 Join us for the spring edition of the Fluidigm Mass Cytometry Summit, the largest and most innovative gathering of the year for high-parameter #cytometry. The focus will be on investigators using the technology to gain previously unrecognized #cellbiology insights to help develop new ways to diagnose and treat human disease. Attendees will also learn about the fundamentals of the #technology from Fluidigm experts and be among the first to hear about the latest advances in #CyTOF technology. #masscytometry #summit2021 #proteomics #humanhealth #research
Meet the COVIDome – the ultimate multidimensional dataset developed to expedite and integrate #COVID19 research. University of Colorado Anschutz Medical Campus researchers performed #multiomics analysis of hospitalized COVID-19 patients through matched analysis of the whole blood #transcriptome, plasma #proteomics, cytokine profiling, plasma and red blood cell #metabolomics, deep immune cell phenotyping by #masscytometry, and #clinicaldata annotation. Given the unique individual nature of COVID-19 #pathogenesis, a comprehensive dataset aimed at encouraging collaborative research could quickly accelerate data sharing, hypothesis testing, and discoveries worldwide. Read about it: https://lnkd.in/gSnSrTX
We would like to extend a warm congratulations to Hema Kothari and team at the University of Virginia for their new Science Signaling publication! Their research on IL-1β and immune response could help identify patients most likely to experience cytokine storm during #COVID19 infection and possibly other systemic inflammatory syndromes as well. Read the paper: https://lnkd.in/g_trX5k Check out the research summary and interview with Dr. Kothari: https://lnkd.in/gQvsArw #publications #CyTOF
Join Rebecca Ihrie, PhD, for a discussion of ongoing work using #imagingmasscytometry to understand how tumor contact with a brain stem cell niche may alter the properties of #cancer and immune cells in these tumors and impact patient survival. Save your spot: https://lnkd.in/gQ3Xe_R In this webinar, Dr. Ihrie will present: • the unique value that high-dimensional #masscytometry brings to #braintumor #research; • a workflow from tissue processing through #dataanalysis; • Risk Assessment Population IDentification (RAPID), an unsupervised #machinelearning algorithm; • development and validation of a brain-centric #imaging panel.
Congratulations to Daniel Traum, Kyong-Mi Chang and team! This breakthrough from University of Pennsylvania, just published in JCI Insight, provides a proof of principle and the foundation to apply highly multiplexed #ImagingMassCytometry as a tool for more detailed studies of viral immune pathogenesis: https://lnkd.in/gmbMheH The group analyzed the #immuneresponse to human #hepatitisB virus infection, detailing the complex immune landscape in the liver of patients with HBeAg chronic disease, by simultaneously detecting 30 immune, viral and structural markers.
Here’s new data on how #SARSCoV2 immune signatures contribute to severe disease progression from the Singapore Immunology Network… the team used #masscytometry and multiplex cytokine arrays to comprehensively phenotype whole blood from hospitalized #COVID19 patients. They identified 327 basic subsets that were further stratified into more than 5000 immunotypes and correlated with 28 plasma cytokines. Deep analysis showed low-density neutrophil abundance was correlated with hepatocyte growth factor levels, which in turn correlated with disease severity, and revealed that conventional type 2 dendritic cells, natural killer T cells, plasmablasts and CD16 monocytes can influence COVID-19 severity independent of temporal progression: https://lnkd.in/gBK_Av5 “We provide interactive network analysis and data visualization tools to facilitate data mining and hypothesis generation for elucidating COVID-19 pathogenesis.” #coronavirus #research #immunology #CyTOF
What is the difference between #ImagingMassCytometry and #immunofluorescence when analyzing FFPE tissue sections? We’ve provided this #whitepaper as a resource for the use and benefits of Imaging Mass Cytometry™ over traditional IHC techniques. ◾ IMC enables high-content analysis of tissue with more markers simultaneously and fewer tissue samples required. ◾ IMC staining follows a workflow similar to traditional IF staining and generates comparable results while eliminating issues such as #autofluorescence and spectral overlap. ◾ IMC generates a linear signal over a much higher dynamic range than IHC or IF in a format that readily allows for quantification. Take a look: https://lnkd.in/gmMaeUS
