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Digital Spatial Profiling | GENEWIZ from Azenta

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style='color:#585F69;font-size:14px'>GLP Plasmid Prep</a></li><li><a href='/en/Public/Services/Clinical-Services/Nucleic-Acid-Extraction' style='color:#585F69;font-size:14px'>GLP Nucleic Acid Extraction</a></li><li><a href='/en/Public/Services/Clinical-Services/Biofluid-Processing-Overview' style='color:#585F69;font-size:14px'>Biofluid Processing</a></li><li><a href='/en/Public/Services/Clinical-Services/CLIA-Integration-Site-Analysis' style='color:#585F69;font-size:14px'>CLIA Integration Site Analysis <sup style="color:#826ec3; font-weight: bold;">NEW</sup></a></li></ul></div></div></div></li></ul></li><li class='dropdown'><a href='/en/Public/Research-Areas' data-toggle='dropdown' class='dropdown-toggle' style='color:white;height:52px;top:47px;padding-top:0;background-color:transparent;font-size:17px;font-weight:bold;'>RESEARCH AREAS</a><ul class='dropdown-menu'><li class='dropdown'><a class='GColor' href='/en/Public/Research-Areas/AAV' style='font-size:17px'>AAV Services</a><ul 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id="ot-sdk-btn" class="ot-sdk-show-settings">CookieSettings</button></p> <!-- OptanonCookieSettingsButtonEnd --> <br /><br /> <div class="headline-center Rich-Text-Edit-Area"> <style type="text/css"> body { margin: 0; padding: 0; } .dsp-new-container { background: #f0f0f0; padding: 30px 0; } .dsp-new-container h1 { margin: 0; color: #000000; } .dsp-new-content { width: 1170px; margin: 0 auto; } .dsp-new-content p { color: #000000; } .dsp-content-box { display: inline-block; vertical-align: middle; /*width: 50%;*/ } #dsp-content-box-left { width: 60%; text-align: left; padding: 30px 0; } #dsp-content-box-right { width: 39%; text-align: right; } .dsp-content-box img { width: 400px; } .dsp-content-box button { border: none; border-radius: 4px; background: #826ec3; padding: 10px 20px; color: #fff; font-size: 15px; letter-spacing: 1px; } .dsp-content-box button:hover { background: #6965a1; } @media only screen and (max-width: 768px) { .headline-center { padding-top: 0; } .dsp-new-container { text-align: center; margin-top: 0; } .dsp-new-content { width: 90%; margin: 0 auto; } .dsp-new-content { display: inline-block; } #dsp-content-box-right, #dsp-content-box-left { width: 100%; text-align: center; } #dsp-content-box-right { margin-top: 20px; } } @media only screen and (max-width: 1170px) { .dsp-new-content { width: 90%; margin: 0 auto; } .dsp-content-box img { width: 350px; } } </style> <div class="dsp-new-container"> <div class="dsp-new-content"> <div class="dsp-content-box" id="dsp-content-box-left"> <br /> <h1 style="text-transform: uppercase;">Digital Spatial Profiling</h1> <div>&nbsp;</div> <p>Digital spatial profiling (DSP) combines high-plex gene expression profiling with the spatial resolution of immunohistochemistry. This technology is a powerful tool for examining cellular interactions, tissue heterogeneity, pathogenicity, and response to therapy.</p> <p>We are proud to be one of the first service providers to offer DSP utilizing the NanoString<sup>&reg;</sup> GeoMx<sup>&reg;</sup> Digital Spatial Profiler platform. This novel technology performs simultaneous, <em>in situ</em> spatial analysis of 570+ proteins and 18,000+ mRNAs from a single FFPE or frozen tissue section. You can select from a host of discovery-focused panels with the potential for customization, including the new, comprehensive IO Proteome Atlas (IPA) and Whole Transcriptome Atlas (WTA) panels. Together with our <a rel="noopener noreferrer" rel="noopener noreferrer" href="https://www.genewiz.com/en/Public/Services/Next-Generation-Sequencing/Epigenomics" target="_blank">epigenetic</a> and <a rel="noopener noreferrer" rel="noopener noreferrer" href="https://www.genewiz.com/en/Public/Services/Next-Generation-Sequencing/Single-Cell-Sequencing" target="_blank">single-cell sequencing</a> solutions, you have access to the most cutting-edge technologies available to study gene expression from every angle.</p> <br /> <a rel="noopener noreferrer" rel="noopener noreferrer" href="https://web.genewiz.com/ngs-inquiry?utm_source=dsp" target="_blank"><button>Request Quote</button></a> </div> <div class="dsp-content-box" id="dsp-content-box-right"> <a href="https://hubs.ly/Q02Jnq3s0"><img alt="" src="/-/media/77007-D-0724-Workshops_Sept17_Right.ashx?la=en&amp;hash=944DF64B5B5E12520291D60C039F06E1361FEA64" /></a> </div> </div> </div> </div> <div class="headline-center Rich-Text-Edit-Area"> <style type="text/css"> .question { width: 1170px; display: inline-block; } .question p { width: 90%; text-align: left; } .question ul { width: 90%; text-align: left; } @media screen and (max-width: 1170px) { .question { width: auto; } } </style> <div class="question"> <h2>What is digital spatial profiling?</h2> <p>Digital spatial profiling (DSP) is a technique used to identify and quantify mRNA and protein expression in tissues such as FFPE (formalin-fixed paraffin-embedded) samples, fresh frozen tissue sections, tissue microarrays, and core needle biopsies.</p> <h2>Why is spatial profiling important?</h2> <p>Digital special profiling (DSP) is important for analyzing cellular heterogeneity and intracellular interactions, especially in the context of drug therapy response. Important advantages of DSP:</p> <ul> <li>Samples can be stored and probed again</li> <li>Multiple regions of interest (ROI) can be explored from a single FFPE slide</li> <li>DSP offers the benefits of both IHC/FISH and high-throughput expression analysis</li> </ul> </div> </div> <div class="headline-center Rich-Text-Edit-Area"> <style type="text/css"> .workflow-container { padding-top: 30px; background: #fffffff; } .workflow { text-align: center; width: 1170px; display: inline-block } .workflow-step { vertical-align: top; width: 19%; padding: 10px; margin-bottom: 20px; display: inline-block; } .workflow-step img { width: 150px; margin: 0 auto; margin-bottom: 20px; } .workflow-step h2 { width: 80%; text-align: center; } .workflow-step h3 { text-align: center; font-size: 18px; font-family: sans-serif; border-bottom: none; } .workflow-step p { width: 80%; margin: 0 auto; text-align: left; } .workflow-icon { text-align: center; } @media only screen and (max-width: 1170px) { .workflow-container { width: auto; } .workflow { text-align: center; width: auto; } .workflow-step { width: 100%; } } </style> <div class="workflow-container"> <div class="workflow"> <h2 style="text-align: center; margin-bottom: 30px;">MORPHOLOGICALLY-GUIDED GENE EXPRESSION PROFILING</h2> <p>Azenta&rsquo;s digital spatial profiling service on the GeoMx platform enables morphologically-guided gene expression profiling of FFPE or fresh frozen tissues using one of NanoString&rsquo;s expertly-curated, predesigned <a rel="noopener noreferrer" rel="noopener noreferrer" href="https://www.nanostring.com/products/geomx-digital-spatial-profiler/geomx-assays" target="_blank">panels</a>. Researchers can provide tissue blocks or slides for processing, or Azenta can leverage its network of biobank partners to source high-quality, consented samples on your behalf.</p> <div class="workflow-step"> <div class="workflow-icon"> <img alt="Digital Spatial Profiling Stains" src="/-/media/Images/Services/NGS/DSP/DSP_Webpage_Stain_Sections.ashx?la=en&amp;hash=3CA339FCE9EE1D7E4772E9A91E3475DFBFBAD7F0" /> </div> <h3><strong>1. Stain Sections</strong></h3> <p style="text-align: center;">Tissue is stained using a protein or mRNA panel and immunofluorescent markers</p> </div> <div class="workflow-step"> <div class="workflow-icon"> <img alt="Digital Spatial Profiling Target Areas" src="/-/media/Images/Services/NGS/DSP/DSP_Webpage_Target_Areas.ashx?la=en&amp;hash=7524CF56F5BAE33C8765D53AC9C1CA278F81055A" /> </div> <h3><strong>2. Define Target Areas</strong></h3> <p style="text-align: center;">Regions of interest (ROIs) are selected using the GeoMx software (see FAQs)</p> </div> <div class="workflow-step"> <div class="workflow-icon"> <img alt="Photocleave Barcodes" src="/-/media/Images/Services/NGS/DSP/DSP_Webpage_Barcodes.ashx?la=en&amp;hash=DC8D7933F0AD25BAFF579C75A5CC62DD29064EF8" /> </div> <h3><strong>3. Photocleave Barcodes</strong></h3> <p style="text-align: center;">Barcodes are cleaved using UV light and captured</p> </div> <div class="workflow-step"> <div class="workflow-icon"> <img alt="Separate ROIs" src="/-/media/Images/Services/NGS/DSP/DSP_Webpage_ROIS.ashx?la=en&amp;hash=843DAA9CE0CE89088D3016F7C6D1EFE649977742" /> </div> <h3><strong>4. Separate ROIs</strong></h3> <p style="text-align: center;">Barcodes from each ROI are deposited in separate tubes</p> </div> <div class="workflow-step"> <div class="workflow-icon"> <img alt="Analyze Spatial Expression" src="/-/media/Images/Services/NGS/DSP/DSP_Webpage_spatial_expression.ashx?la=en&amp;hash=3314B39530441AE3F1F9DBCF2E0336562B80F7BA" /> </div> <h3><strong>5. Analyze Spatial Expression</strong></h3> <p style="text-align: center;">ROI-specific barcodes are quantified to create expression profiles</p> </div> </div> </div> </div> <div class="headline-center Rich-Text-Edit-Area"> <style type="text/css"> .applications-container { padding-top: 15px; background: #f0f0f0; } .applications { width: 1170px; display: inline-block; } .applications h2 { text-align: center; } .applications-step { display: inline-block; width: 23%; vertical-align: top; padding: 5px; } .applications-step img { width: 150px; margin: 0 auto; margin-top: 10px; margin-bottom: 10px; } .applications-step h3 { text-align: center; font-size: 18px; font-family: sans-serif; border-bottom: none; font-weight: bold; } .applications-step p { width: 80%; margin: 0 auto; text-align: left; } .applications-step li { text-align: left; } .applications-icon { text-align: center; } @media only screen and (max-width: 1170px) { .applications-container { width: auto; } .applications { width: auto; text-align: center; } .applications-step { width: 100%; } } </style> <div class="applications-container"> <div class="applications"> <h2>APPLICATIONS OF DIGITAL SPATIAL PROFILING</h2> <div class="applications-step"> <h3>Oncology</h3> <div class="applications-icon"> <img alt="Oncology" src="/-/media/Images/Home/icons/Purple-Icons/DSP_Webpage_oncology_icon_Purple.ashx?la=en&amp;hash=4037E8529175AB93A0ED3C13653F575964DEC1E1" /> </div> <p>&nbsp;</p> <ul> <li>Profile tumor heterogeneity, microenvironment, and cancer stem cells</li> <li>Identify tumor-infiltrating lymphocytes (TILs)</li> </ul> <p>&nbsp;</p> </div> <div class="applications-step"> <h3>Immunology</h3> <div class="applications-icon"> <img alt="Immunology" src="/-/media/Images/Home/icons/Purple-Icons/DSP_Webpage_Immunology_icon_Purple.ashx?la=en&amp;hash=E483A482571DD0852C32E711171202A2E6E59136" /> </div> <p>&nbsp;</p> <ul> <li><em>In situ</em> immune repertoire characterization</li> <li>Immune response profiling of normal and diseased states</li> </ul> <p>&nbsp;</p> </div> <div class="applications-step"> <h3>Neuroscience</h3> <div class="applications-icon"> <img alt="Neuroscience" src="/-/media/Images/Home/icons/Purple-Icons/DSP_Webpage_Neuroscience_Icon_Purple.ashx?la=en&amp;hash=EEAD0D68CAD6271B5CF97E18E323FA67C7ED0635" /> </div> <p>&nbsp;</p> <ul> <li>Contextually profile neural and stem cells</li> <li>Characterization of neurodegenerative disease pathology</li> </ul> <p>&nbsp;</p> </div> <div class="applications-step"> <h3>Pathology</h3> <div class="applications-icon"> <img alt="Pathology" src="/-/media/Images/Home/icons/Purple-Icons/DSP_Webpage_Pathology_icon_Purple.ashx?la=en&amp;hash=0E32B306A5B877AF667EDF8130B0CE9650640A7E" /> </div> <p>&nbsp;</p> <ul> <li>High-plex analysis of expression in normal and diseased tissues</li> <li>Biomarker discovery and characterization</li> <li>Monitor therapy response</li> </ul> <p>&nbsp;</p> </div> </div> </div> </div> <div class="headline-center Rich-Text-Edit-Area"> <style type="text/css"> .body { text-align: center; 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height: auto; } @media only screen and (max-width: 700px) { #banner-left img { width: 60%; } #banner-right button { font-size: 14px; } } </style> <div class="body"> <div class="banner-background"> <div id="banner-left"> </div> <div id="banner-right"> <div id="banner-right h1"> <h1><strong>Expedite Target Discovery for Your Biomedical <br /> Research with Azenta Proteomics Services</strong></h1> <h3>Leverage Azenta protein biomarker discovery powered by Olink<sup>&reg;</sup> technology</h3> <a rel="noopener noreferrer" rel="noopener noreferrer" href="https://web.azenta.com/protein-biomarker-discovery-solutions?utm_campaign=2022-02 GEN SEQ - Protein Biomarker Discovery Olink Launch&amp;utm_source=dsp&amp;utm_medium=web banner&amp;utm_content=US&amp;__hstc=251210969.8aa0fe9991d7e88ea77f60833a941cdc.1645541971541.1652169655812.1652185855098.126&amp;__hssc=251210969.37.1652185855098&amp;__hsfp=805862176" target="_blank"><button>Learn More</button></a> </div> </div> </div> </div> </div> <script type="text/javascript" src="/assets/plugins/counter/jquery.counterup.min.js"></script> <script language="javascript" type="text/javascript"> jQuery(document).ready(function ($) { $(".row .category").find("img").addClass("img-responsive"); }); </script> <div class='Component-Frame pull-center Multi-column-TextBullet-Layout Component-BackGround-Default margin-top-0 margin-bottom-0 padding-top-10 padding-bottom-10'> <div class="container"> <div class="headline-center"> <h2>Digital Spatial Profiling Features &amp; Benefits</h2> </div> <div class="headline-left"> </div> <div class="row category"> <div class="col-md-6 col-sm-6"> <div class="content-boxes-v3 margin-bottom-20"> <div class="col-md-2"><i class="BlueCheck icon-custom icon-bg-gray icon-4x fa fa-check" style="border:none;"></i></div> <div class="content-boxes-in-v3"> <p style="margin-top: 0pt; margin-bottom: 1.24pt; margin-left: 0in; text-align: left;"><strong>Multiomic Solutions</strong> – Choose from expert-curated protein and mRNA panels targeting various pathways, or create your own</p> </div> </div><div class="content-boxes-v3 margin-bottom-20"> <div class="col-md-2"><i class="BlueCheck icon-custom icon-bg-gray icon-4x fa fa-check" style="border:none;"></i></div> <div class="content-boxes-in-v3"> <p style="margin-top: 0pt; margin-bottom: 1.24pt; margin-left: 0in; text-align: left;"><strong>High-Plex Analysis</strong> – Combines the benefits of IHC/FISH and high-throughput expression analysis into one streamlined, tissue multiplexing assay</p> </div> </div> </div> <div class="col-md-6 col-sm-6"> <div class="content-boxes-v3 margin-bottom-20"> <div class="col-md-2"><i class="BlueCheck icon-custom icon-bg-gray icon-4x fa fa-check" style="border:none;"></i></div> <div class="content-boxes-in-v3"> <p style="margin-top: 0pt; margin-bottom: 1.24pt; margin-left: 0in; text-align: left;"><strong>Target Multiple ROIs</strong> – Explore several ROIs from a single tissue slide using flexible manual and automatic ROI selection options</p> </div> </div><div class="content-boxes-v3 margin-bottom-20"> <div class="col-md-2"><i class="BlueCheck icon-custom icon-bg-gray icon-4x fa fa-check" style="border:none;"></i></div> <div class="content-boxes-in-v3"> <p style="margin-top: 0pt; margin-bottom: 1.24pt; margin-left: 0in; text-align: left;"><strong>Preserve Samples</strong> – Multiple ROIs can be selected from a single slide, allowing tissue to remain intact for re-staining or use in other applications</p> </div> </div> </div> </div> </div> </div><div class="headline-center Rich-Text-Edit-Area"> <link href="https://fonts.googleapis.com/css?family=Roboto:300,400,500,700" rel="stylesheet"> <style type="text/css"> .covid-banner { width: 1170px; 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background-color: #f1f0f0; padding: 0; margin: 0;margin-top: -20px;"><a id="learnmore"> </a> <div class="tech-resources-container"><a id="learnmore"> </a> <div class="tech-resource"><a id="learnmore"> </a> <div class="resource resource-left"><a id="learnmore"> <img alt="High-Plex Spatial Analysis of Tissue Microenvironments" src="/-/media/Images/Services/NGS/DSP/DSP_Webpage_Nanostring_Webinar_Thumbnail.ashx?la=en&amp;hash=85102D09426D582D02F6F223C68AE648056CCB25" /> </a></div> <div class="resource resource-right"><a id="learnmore"> </a> <h3>Webinar | Morphology Driven High-Plex Spatial Analysis of Tissue Microenvironments</h3> <p>In this webinar presented by Douglas Hinerfeld, Ph.D., Director of Product Applications at NanoString, learn how their novel GeoMx platform simultaneously analyzes dozens of proteins and transcripts with high spatial resolution, providing greater insight into biological systems and diseases across a variety of research areas. <br /> <a href="https://web.genewiz.com/morphology-high-plex-tissue-microenvironments" target="_blank"> <button>Download</button> </a> </p> </div> </div> <div class="tech-resource"> <div class="resource resource-left"> <img alt="" src="/-/media/Images/13057-D_Transcriptomics-Webinar_TechResource_Laptop.ashx?la=en&amp;hash=C9D7CAA35F4E698EB28DFEE74F8ADB2FA09B5276" /> </div> <div class="resource resource-right"> <h3>Webinar Series | Advancing Transcriptomics: Gene Expression Screening, Single-Cell RNA-Seq, and Beyond</h3> <p>With this two-part webinar series, go beyond traditional transcriptomics and learn about the various NGS approaches available for gene expression analysis. 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