Pharmacogenomics Research Using Microfluidics

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} </style> <p>Researching the effectiveness of drugs for individuals and stratified groups can be accomplished through examination of inherited genetic variants. This pharmacogenomics (PGx) approach enables the analysis of a broad range of data in an effort to gather all relevant information.</p> <p>PGx can impact many different research fields, including psychiatry, addiction and pain management.</p> <div class="bg-very-light-gray" style="padding:15px;"> <p><strong><span class="text-uppercase"><span class="color-secondary-blue">Psychiatry:</span> </span></strong>With several possible drugs and drug combinations, it is important to understand which one works best or which ones work best together (CYP450).</p> <p><strong><span class="text-uppercase"><span class="color-secondary-blue">AddictioN:</span> </span></strong>PGx studies can help provide an understanding of the mechanisms that regulate the brain-reward system and how certain drugs affect it (OPRM1).</p> <p><span class="text-uppercase"><span class="color-secondary-blue"><strong>Pain management:</strong></span> </span>Gaining the proper knowledge of optimal dosage and response is significant to successful administration of the right drugs (CYP2D6).</p> </div> <p><br /> <a class="primary-btn" href="https://store.standardbio.com/product_detail/guest-catalog/102-2242">Order Now</a></p> </div> <div class="d-none d-lg-block col-lg-2"></div> <div class="d-flex px-5 py-3 p-lg-0 col-12 col-lg-3 justify-content-center align-items-center"> <picture data-alt="" data-default-src="/FluidigmSite_Assets/Generic-Assets/Images/Icons-Applications/Blue/image-thumb__12389__medium/Applcon_Blue_PGx.png"> <source srcset="/FluidigmSite_Assets/Generic-Assets/Images/Icons-Applications/Blue/image-thumb__12389__medium/Applcon_Blue_PGx.png 1x, /FluidigmSite_Assets/Generic-Assets/Images/Icons-Applications/Blue/image-thumb__12389__medium/Applcon_Blue_PGx@2x.png 2x" type="image/png" /> <img title="" class="img-fluid" alt="" src="/FluidigmSite_Assets/Generic-Assets/Images/Icons-Applications/Blue/image-thumb__12389__medium/Applcon_Blue_PGx.png" /> </picture> </div> <div class="d-none d-lg-block col-lg-1"></div> </div> </div> </div> </div> <div class="pimcore_area_jump-links pimcore_area_content "> <div class="jump-links-container"> <div class="jump-links bg-very-light-gray w-100"> <div class="container"> <div class="row"> <div class="col d-flex align-items-center overflow-auto py-4"> <a class="font-15 fw-bold font-proxima-nova link-no-style color-primary-gray jump-link" href="#overview-anchor" data-anchor-link="overview-anchor">Overview</a> <a class="font-15 fw-bold font-proxima-nova link-no-style color-primary-gray jump-link" href="#workflows-anchor" data-anchor-link="workflows-anchor">Workflows</a> <a class="font-15 fw-bold font-proxima-nova link-no-style color-primary-gray jump-link" href="#technology-anchor" data-anchor-link="technology-anchor">Technology</a> <a class="font-15 fw-bold font-proxima-nova link-no-style color-primary-gray jump-link" href="#blog-anchor" data-anchor-link="blog-anchor">Related Blog Posts</a> <a class="font-15 fw-bold font-proxima-nova link-no-style color-primary-gray jump-link" href="#resources-anchor" data-anchor-link="resources-anchor">Resources</a> <a class="font-15 fw-bold font-proxima-nova link-no-style color-primary-gray jump-link" href="#contact-anchor" data-anchor-link="contact-anchor">Contact Us</a> </div> </div> </div> </div> </div> </div> <div class="pimcore_area_container pimcore_area_content "> <div id="-anchor" class="py-5 "> <div class="container"> <div class="row"> <div class="col"> <div class="pimcore_area_wysiwyg pimcore_area_content "> <div id="overview-anchor" class="row area-wysiwyg"> <div class="col"> <div class="sidebysideContainer"> <div class="Width70"> <p><img alt="Detect and identify targeted genetic variants to research how genes affect individual response to drugs. SNPs and CNVs in ONE chip." src="/FluidigmSite_Assets/PrdSrv-Tech_Microfluidics/Images/MF_PGx_LPheader_1296x330.jpg" style="width:100%;" /></p> <p>PGx is the study of how genes affect individual response to drugs. Tools capable of quickly and easily investigating the relationship between a specific gene profile and a novel drug can improve efficacy and shorten the time to research insights.</p> <p>The Advanta™ Pharmacogenomics Assay allows you to process single-nucleotide polymorphisms (SNPs) and copy number variations (CNVs) from up to 96 samples in a single workflow with the option of using extraction-free buccal swabs, achieving results in approximately 4 hours with actionable content that can be customized to meet your needs. Microfluidics technology facilitates PGx studies with a single high-throughput workflow that consolidates multiple assays into one experiment, without the need for multiplexing.</p> </div> <div class="Width30 sidebysideRtItem"> <div class="bg-very-light-gray" style="padding:20px; margin-top:10px;"> <p><span class="color-secondary-blue"><strong>Validated | </strong></span>Core panel of 74 gene targets derived from Clinical Pharmacogenetics Implementation Consortium (CPIC®) and PharmGKB guidelines</p> <p><strong><span class="color-secondary-blue">Flexible |</span></strong> Add or remove assays easily to customize content</p> <p><strong><span class="color-secondary-blue">Singleplex Simplicity | </span></strong>Multiple concurrent independent reactions mitigate the risk of assay-assay interactions</p> <p><strong><span class="color-secondary-blue">Conserve | </span></strong>Nanoliter scale reactions minimize reagent and sample consumption by 100x</p> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> <div class="pimcore_area_featurette pimcore_area_content "> <div id="-anchor" class="featurette-circle bg-grad-blue color-white position-relative py-4 py-lg-5 flip"> <img class="featurette-image" src="/static/fluidigm/img/featurette-circle-bg-flip.png" alt="background pattern"> <div class="container pt-2 pb-4 position-relative"> <div class="row "> <div class="d-none d-lg-block col-lg-1"></div> <div class="col-12 col-lg-4 d-flex flex-column justify-content-center orange-list-items"> <p><strong>NEW FEATURED INSTRUMENT</strong></p> <hr style="border:#ffffff;" /> <h3><strong><span style="color:#ffffff;">X9™ High-Throughput Genomics System</span></strong></h3> <p><span style="color:#ffffff;"><strong>Deep Insights With Nanoscale Genomics</strong><br /> The only genomics system for real-time PCR and NGS library preparation to support discovery through screening.</span></p> <div class="primary-btn-alt mt-3"> <a href="/x9" target="_self" title="DO MORE WITH LESS" class="align-self-start" type="internal">DO MORE WITH LESS</a> </div> </div> <div class="d-none d-lg-block col-lg-3"></div> <div class="d-none d-lg-flex col-12 col-lg-3 justify-content-center align-items-center"> <picture data-alt="" data-default-src="/FluidigmSite_Assets/PrdSrv-Tech_Microfluidics/Images/image-thumb__12193__medium-circle/MF_X9_3QT_Open.png"> <source srcset="/FluidigmSite_Assets/PrdSrv-Tech_Microfluidics/Images/image-thumb__12193__medium-circle/MF_X9_3QT_Open.png 1x, /FluidigmSite_Assets/PrdSrv-Tech_Microfluidics/Images/image-thumb__12193__medium-circle/MF_X9_3QT_Open@2x.png 2x" type="image/png" /> <img title="" class="img-fluid circle-image" alt="" src="/FluidigmSite_Assets/PrdSrv-Tech_Microfluidics/Images/image-thumb__12193__medium-circle/MF_X9_3QT_Open.png" /> </picture> </div> <div class="d-none d-lg-block col-lg-1"></div> </div> </div> </div> </div> <div class="pimcore_area_container pimcore_area_content "> <div id="workflows-anchor" class="py-5 bg-very-light-gray"> <div class="container"> <div class="row"> <div class="col"> <div class="pimcore_area_wysiwyg pimcore_area_content "> <div id="-anchor" class="row area-wysiwyg"> <div class="col"> <div class="sidebysideContainer"> <div class="Width50" style="background:#ffffff; padding:20px;"><img alt="TWO in ONE. SNPs and CNVs in ONE plate. A new standard in PGx testing." src="/FluidigmSite_Assets/PrdSrv-Tech_Microfluidics/Images/MF_PGx_Workflow.jpg" style="width:100%;" /></div> <div class="sidebysideRtItem Width50"> <h2><span class="color-secondary-blue">Pharmacogenomics simplified with the power of microfluidics</span></h2> <p>Microfluidics-based systems provide efficient and cost-effective solutions for genomic testing. With a simple load-and-run protocol and automated reagent mixing using nanoliter volumes, integrated fluidic circuit (IFC) technology significantly minimizes pipetting steps, hands-on time and reagent consumption.</p> <p> </p> <p><a class="primary-btn-purple" href="/products-services/technologies/microfluidics">Learn more about microfluidics</a></p> </div> </div> </div> </div> </div> <div class="pimcore_area_wysiwyg pimcore_area_content "> <div id="-anchor" class="row area-wysiwyg"> <div class="col"> <p> </p> <p> </p> </div> </div> </div> </div> </div> </div> </div> </div> <div class="pimcore_area_container pimcore_area_content "> <div id="technology-anchor" class="py-5 "> <div class="container"> <div class="row"> <div class="col-12 col-lg-6"> <div class="pimcore_area_wysiwyg pimcore_area_content "> <div id="-anchor" class="row area-wysiwyg"> <div class="col"> <h2><span class="color-secondary-blue"><b>Efficient and cost-effective testing in one workflow with the Advanta Pharmacogenomics Assay Kit </b></span></h2> <p>A nanoliter-volume IFC with the capacity to test up to 96 samples and up to 96 independent assays is optimized for ultralow sample and reagent use, generating a total of 9,216 datapoints from a single run.</p> <p>The design of the IFC combined with a straightforward workflow allows labs to customize both SNP and CNV assay content to suit individual needs, avoiding the limitation of fixed-format panels.</p> <p>The assay kit supports five IFC runs and includes the reagents, assays, IFCs and control line fluid.</p> </div> </div> </div> </div> <div class="col-12 col-lg-6"> <div class="pimcore_area_wysiwyg pimcore_area_content "> <div id="-anchor" class="row area-wysiwyg"> <div class="col"> <script src="https://fast.wistia.com/embed/medias/74chdzmoze.jsonp" async></script><script src="https://fast.wistia.com/assets/external/E-v1.js" async></script> <div class="wistia_responsive_padding" style="padding:56.25% 0 0 0;position:relative;"> <div 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href="/download/7648" target="_blank">Quick Reference, PGx Assay | FLDM-01046 <svg class="secondary-btn-arrow-icon" width="16" height="11" viewBox="0 0 16 11" fill="none" xmlns="http://www.w3.org/2000/svg"> <path fill-rule="evenodd" clip-rule="evenodd" d="M14.869 6.48822C14.9709 6.39361 15.0288 6.26086 15.0288 6.12182C15.0288 5.98279 14.9709 5.85003 14.869 5.75542L10.5613 1.75542C10.3589 1.56752 10.0426 1.57924 9.85467 1.7816C9.66677 1.98395 9.67848 2.30032 9.88084 2.48822L13.211 5.58047H0.5C0.223858 5.58047 0 5.80433 0 6.08047C0 6.35661 0.223858 6.58047 0.5 6.58047H13.3L9.88084 9.75542C9.67848 9.94333 9.66677 10.2597 9.85467 10.462C10.0426 10.6644 10.3589 10.6761 10.5613 10.4882L14.869 6.48822Z" fill="url(#secondar_btn_arrow_icon)"/> <defs> <linearGradient id="secondar_btn_arrow_icon" x1="-1.39966e-07" y1="10.6218" x2="8.22826" y2="-2.6078" gradientUnits="userSpaceOnUse"> <stop offset="0.177083" stop-color="#002680"/> <stop offset="1" stop-color="#0099AF"/> </linearGradient> </defs> </svg> </a> </div> <div class="resource-item px-3"> <a class="w-100 py-3 d-flex justify-content-between align-items-center" href="/download/7649" target="_blank">Product Insert, PGx Assay Kit | FLDM-01048 <svg class="secondary-btn-arrow-icon" width="16" height="11" viewBox="0 0 16 11" fill="none" xmlns="http://www.w3.org/2000/svg"> <path fill-rule="evenodd" clip-rule="evenodd" d="M14.869 6.48822C14.9709 6.39361 15.0288 6.26086 15.0288 6.12182C15.0288 5.98279 14.9709 5.85003 14.869 5.75542L10.5613 1.75542C10.3589 1.56752 10.0426 1.57924 9.85467 1.7816C9.66677 1.98395 9.67848 2.30032 9.88084 2.48822L13.211 5.58047H0.5C0.223858 5.58047 0 5.80433 0 6.08047C0 6.35661 0.223858 6.58047 0.5 6.58047H13.3L9.88084 9.75542C9.67848 9.94333 9.66677 10.2597 9.85467 10.462C10.0426 10.6644 10.3589 10.6761 10.5613 10.4882L14.869 6.48822Z" fill="url(#secondar_btn_arrow_icon)"/> <defs> <linearGradient id="secondar_btn_arrow_icon" x1="-1.39966e-07" y1="10.6218" x2="8.22826" y2="-2.6078" 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6.58047H13.3L9.88084 9.75542C9.67848 9.94333 9.66677 10.2597 9.85467 10.462C10.0426 10.6644 10.3589 10.6761 10.5613 10.4882L14.869 6.48822Z" fill="url(#secondar_btn_arrow_icon)"/> <defs> <linearGradient id="secondar_btn_arrow_icon" x1="-1.39966e-07" y1="10.6218" x2="8.22826" y2="-2.6078" gradientUnits="userSpaceOnUse"> <stop offset="0.177083" stop-color="#002680"/> <stop offset="1" stop-color="#0099AF"/> </linearGradient> </defs> </svg> </a> </div> </div> </div> <div class="row mt-2"> <div class="col-12 col-lg-3 px-2 px-lg-0 label-col bg-light-blue"> <p class="color-white fw-bold ps-3"> Application notes </p> </div> <div class="col-12 col-lg-9 px-0 resources-col bg-white"> <div class="resource-item px-3"> <a class="w-100 py-3 d-flex justify-content-between align-items-center" href="/download/7634" target="_blank">A Single Workflow for Genotyping and Copy Number Variation in Pharmacogenomic Testing | FLDM-00894 <svg class="secondary-btn-arrow-icon" width="16" height="11" viewBox="0 0 16 11" fill="none" xmlns="http://www.w3.org/2000/svg"> <path fill-rule="evenodd" clip-rule="evenodd" d="M14.869 6.48822C14.9709 6.39361 15.0288 6.26086 15.0288 6.12182C15.0288 5.98279 14.9709 5.85003 14.869 5.75542L10.5613 1.75542C10.3589 1.56752 10.0426 1.57924 9.85467 1.7816C9.66677 1.98395 9.67848 2.30032 9.88084 2.48822L13.211 5.58047H0.5C0.223858 5.58047 0 5.80433 0 6.08047C0 6.35661 0.223858 6.58047 0.5 6.58047H13.3L9.88084 9.75542C9.67848 9.94333 9.66677 10.2597 9.85467 10.462C10.0426 10.6644 10.3589 10.6761 10.5613 10.4882L14.869 6.48822Z" fill="url(#secondar_btn_arrow_icon)"/> <defs> <linearGradient id="secondar_btn_arrow_icon" x1="-1.39966e-07" y1="10.6218" x2="8.22826" y2="-2.6078" gradientUnits="userSpaceOnUse"> <stop offset="0.177083" stop-color="#002680"/> <stop offset="1" stop-color="#0099AF"/> </linearGradient> </defs> </svg> </a> </div> </div> </div> <div class="row mt-2"> <div class="col-12 col-lg-3 px-2 px-lg-0 label-col bg-light-blue"> <p class="color-white fw-bold ps-3"> Software scripts </p> </div> <div class="col-12 col-lg-9 px-0 resources-col bg-white"> <div class="resource-item px-3"> <a class="w-100 py-3 d-flex justify-content-between align-items-center" href="/download/7655" target="">Advanta PGx Assay Preset (v1.0.1 October 31, 2022) <svg class="secondary-btn-arrow-icon" width="16" height="11" viewBox="0 0 16 11" fill="none" xmlns="http://www.w3.org/2000/svg"> <path fill-rule="evenodd" clip-rule="evenodd" d="M14.869 6.48822C14.9709 6.39361 15.0288 6.26086 15.0288 6.12182C15.0288 5.98279 14.9709 5.85003 14.869 5.75542L10.5613 1.75542C10.3589 1.56752 10.0426 1.57924 9.85467 1.7816C9.66677 1.98395 9.67848 2.30032 9.88084 2.48822L13.211 5.58047H0.5C0.223858 5.58047 0 5.80433 0 6.08047C0 6.35661 0.223858 6.58047 0.5 6.58047H13.3L9.88084 9.75542C9.67848 9.94333 9.66677 10.2597 9.85467 10.462C10.0426 10.6644 10.3589 10.6761 10.5613 10.4882L14.869 6.48822Z" fill="url(#secondar_btn_arrow_icon)"/> <defs> <linearGradient id="secondar_btn_arrow_icon" x1="-1.39966e-07" y1="10.6218" x2="8.22826" y2="-2.6078" gradientUnits="userSpaceOnUse"> <stop offset="0.177083" stop-color="#002680"/> <stop offset="1" stop-color="#0099AF"/> </linearGradient> </defs> </svg> </a> </div> </div> </div> <div class="row mt-2"> <div class="col-12 col-lg-3 px-2 px-lg-0 label-col bg-light-blue"> <p class="color-white fw-bold ps-3"> Posters </p> </div> <div class="col-12 col-lg-9 px-0 resources-col bg-white"> <div class="resource-item px-3"> <a class="w-100 py-3 d-flex justify-content-between align-items-center" href="/download/8118" target="_blank">Simultaneous Profiling of SNP Genotyping and Copy Number Variation Using 96 Assays in a Nanofluidic Platform for Pharmacogenomics Studies | FLDM-01124 <svg class="secondary-btn-arrow-icon" width="16" height="11" viewBox="0 0 16 11" fill="none" xmlns="http://www.w3.org/2000/svg"> <path fill-rule="evenodd" clip-rule="evenodd" d="M14.869 6.48822C14.9709 6.39361 15.0288 6.26086 15.0288 6.12182C15.0288 5.98279 14.9709 5.85003 14.869 5.75542L10.5613 1.75542C10.3589 1.56752 10.0426 1.57924 9.85467 1.7816C9.66677 1.98395 9.67848 2.30032 9.88084 2.48822L13.211 5.58047H0.5C0.223858 5.58047 0 5.80433 0 6.08047C0 6.35661 0.223858 6.58047 0.5 6.58047H13.3L9.88084 9.75542C9.67848 9.94333 9.66677 10.2597 9.85467 10.462C10.0426 10.6644 10.3589 10.6761 10.5613 10.4882L14.869 6.48822Z" fill="url(#secondar_btn_arrow_icon)"/> <defs> <linearGradient id="secondar_btn_arrow_icon" x1="-1.39966e-07" y1="10.6218" x2="8.22826" y2="-2.6078" gradientUnits="userSpaceOnUse"> <stop offset="0.177083" stop-color="#002680"/> <stop offset="1" stop-color="#0099AF"/> </linearGradient> </defs> </svg> </a> </div> </div> </div> </div> </div> </div> <div class="pimcore_area_container pimcore_area_content "> <div id="contact-anchor" class="py-5 bg-very-light-gray"> <div class="container"> <div class="row"> <div class="col"> <div class="pimcore_area_wysiwyg pimcore_area_content "> <div id="-anchor" class="row area-wysiwyg"> <div 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